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@@ -7,7 +7,7 @@
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   <meta content="Bikeshed version 82ce88815, updated Thu Sep 7 16:33:55 2023 -0700" name="generator">
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-  <meta content="c6ed2ca961c7f21390bf0d9c45fc69bfe4ea0732" name="document-revision">
+  <meta content="6ce91acf913e0cbd0944438c74d7945e0256a047" name="document-revision">
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@@ -965,7 +965,7 @@
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    <p data-fill-with="logo"><a class="logo" href="https://www.w3.org/"> <img alt="W3C" height="48" src="https://www.w3.org/StyleSheets/TR/2021/logos/W3C" width="72"> </a> </p>
    <h1 class="p-name no-ref" id="title">Web Neural Network API</h1>
-   <p id="w3c-state"><a href="https://www.w3.org/standards/types#ED">Editor’s Draft</a>, <time class="dt-updated" datetime="2023-10-26">26 October 2023</time></p>
+   <p id="w3c-state"><a href="https://www.w3.org/standards/types#ED">Editor’s Draft</a>, <time class="dt-updated" datetime="2023-12-11">11 December 2023</time></p>
    <details open>
     <summary>More details about this document</summary>
     <div data-fill-with="spec-metadata">
@@ -992,7 +992,7 @@ <h1 class="p-name no-ref" id="title">Web Neural Network API</h1>
     </div>
    </details>
    <div data-fill-with="warning"></div>
-   <p class="copyright" data-fill-with="copyright"><a href="https://www.w3.org/Consortium/Legal/ipr-notice#Copyright">Copyright</a> © 2023 <a href="https://www.w3.org/">World Wide Web Consortium</a>. <abbr title="World Wide Web Consortium">W3C</abbr><sup>®</sup> <a href="https://www.w3.org/Consortium/Legal/ipr-notice#Legal_Disclaimer">liability</a>, <a href="https://www.w3.org/Consortium/Legal/ipr-notice#W3C_Trademarks">trademark</a> and <a href="https://www.w3.org/Consortium/Legal/copyright-software" rel="license" title="W3C Software and Document License">permissive document license</a> rules apply. </p>
+   <p class="copyright" data-fill-with="copyright"><a href="https://www.w3.org/policies/#copyright">Copyright</a> © 2023 <a href="https://www.w3.org/">World Wide Web Consortium</a>. <abbr title="World Wide Web Consortium">W3C</abbr><sup>®</sup> <a href="https://www.w3.org/policies/#Legal_Disclaimer">liability</a>, <a href="https://www.w3.org/policies/#W3C_Trademarks">trademark</a> and <a href="https://www.w3.org/copyright/software-license/" rel="license" title="W3C Software and Document License">permissive document license</a> rules apply. </p>
    <hr title="Separator for header">
   </div>
   <div class="p-summary" data-fill-with="abstract">
@@ -1016,7 +1016,7 @@ <h2 class="no-num no-toc no-ref heading settled" id="sotd"><span class="content"
     includes instructions for disclosing a patent. An individual who has actual knowledge of a
     patent which the individual believes contains <a href="https://www.w3.org/Consortium/Patent-Policy/#def-essential">Essential
     Claim(s)</a> must disclose the information in accordance with <a href="https://www.w3.org/Consortium/Patent-Policy/#sec-Disclosure">section 6 of the <abbr title="World Wide Web Consortium">W3C</abbr> Patent Policy</a>. </p>
-   <p> This document is governed by the <a href="https://www.w3.org/2023/Process-20230612/" id="w3c_process_revision">12 June 2023 W3C Process Document</a>. </p>
+   <p> This document is governed by the <a href="https://www.w3.org/2023/Process-20231103/" id="w3c_process_revision">03 November 2023 W3C Process Document</a>. </p>
    <p></p>
    <p> Further implementation experience and user feedback is being gathered for the <code class="idl"><a data-link-type="idl" href="#mlcommandencoder" id="ref-for-mlcommandencoder">MLCommandEncoder</a></code> interface that proposes to enable more efficient WebGPU
 integration. A proposal to <a href="https://github.com/webmachinelearning/webnn/pull/322">simplify
@@ -1084,164 +1084,177 @@ <h2 class="no-num no-toc no-ref" id="contents">Table of Contents</h2>
      <ol class="toc">
       <li><a href="#api-navigator-ml"><span class="secno">7.1</span> <span class="content">The navigator.ml interface</span></a>
       <li>
-       <a href="#api-ml"><span class="secno">7.2</span> <span class="content">The ML interface</span></a>
+       <a href="#api-ml"><span class="secno">7.2</span> <span class="content"><code class="idl"><span>ML</span></code> interface</span></a>
        <ol class="toc">
         <li><a href="#permissions-policy-integration"><span class="secno">7.2.1</span> <span class="content">Permissions Policy Integration</span></a>
-        <li><a href="#api-ml-createcontext"><span class="secno">7.2.2</span> <span class="content">The <code class="idl"><span>createContext()</span></code> method</span></a>
-        <li><a href="#api-ml-createcontextsync"><span class="secno">7.2.3</span> <span class="content">The <code class="idl"><span>createContextSync()</span></code> method</span></a>
+        <li><a href="#api-ml-createcontext"><span class="secno">7.2.2</span> <span class="content"><code class="idl"><span>createContext</span></code></span></a>
+        <li><a href="#api-ml-createcontextsync"><span class="secno">7.2.3</span> <span class="content"><code class="idl"><span>createContextSync</span></code></span></a>
        </ol>
       <li>
-       <a href="#api-mlgraph"><span class="secno">7.3</span> <span class="content">The MLGraph interface</span></a>
+       <a href="#api-mlactivation"><span class="secno">7.3</span> <span class="content"><code class="idl"><span>MLActivation</span></code> interface</span></a>
        <ol class="toc">
-        <li><a href="#api-mloperanddescriptor"><span class="secno">7.3.1</span> <span class="content">The MLOperandDescriptor dictionary</span></a>
-        <li>
-         <a href="#api-mloperand"><span class="secno">7.3.2</span> <span class="content">The MLOperand interface</span></a>
-         <ol class="toc">
-          <li><a href="#api-mloperand-create"><span class="secno">7.3.2.1</span> <span class="content">Creating <code class="idl"><span>MLOperand</span></code></span></a>
-         </ol>
-        <li>
-         <a href="#api-mlactivation"><span class="secno">7.3.3</span> <span class="content">The MLActivation interface</span></a>
-         <ol class="toc">
-          <li><a href="#api-mlactivation-create"><span class="secno">7.3.3.1</span> <span class="content">Creating <code class="idl"><span>MLActivation</span></code></span></a>
-         </ol>
+        <li><a href="#api-mlactivation-create"><span class="secno">7.3.1</span> <span class="content">Creating <code class="idl"><span>MLActivation</span></code></span></a>
+       </ol>
+      <li>
+       <a href="#api-mlcommandencoder"><span class="secno">7.4</span> <span class="content"><code class="idl"><span>MLCommandEncoder</span></code> interface</span></a>
+       <ol class="toc">
+        <li><a href="#api-mlcommandencoder-graph-initialization"><span class="secno">7.4.1</span> <span class="content">Graph Initialization</span></a>
+        <li><a href="#api-mlcommandencoder-dispatch-commands"><span class="secno">7.4.2</span> <span class="content">Dispatch Execution Commands</span></a>
+        <li><a href="#api-mlcommandencoder-generate-gpu-command-buffer"><span class="secno">7.4.3</span> <span class="content">Generate GPU Command Buffer</span></a>
        </ol>
       <li>
-       <a href="#api-mlcontext"><span class="secno">7.4</span> <span class="content">The MLContext interface</span></a>
+       <a href="#api-mlcontext"><span class="secno">7.5</span> <span class="content"><code class="idl"><span>MLContext</span></code> interface</span></a>
        <ol class="toc">
-        <li><a href="#api-mlcontext-validate"><span class="secno">7.4.1</span> <span class="content">The <code class="idl"><span>MLContext</span></code> validation algorithm</span></a>
+        <li><a href="#api-mlcontext-validate"><span class="secno">7.5.1</span> <span class="content"><code class="idl"><span>MLContext</span></code> validation algorithm</span></a>
         <li>
-         <a href="#api-mlcontext-sync-execution"><span class="secno">7.4.2</span> <span class="content">Synchronous Execution</span></a>
+         <a href="#api-mlcontext-sync-execution"><span class="secno">7.5.2</span> <span class="content">Synchronous Execution</span></a>
          <ol class="toc">
-          <li><a href="#api-mlcontext-sync-execution-examples"><span class="secno">7.4.2.1</span> <span class="content">Examples</span></a>
+          <li><a href="#api-mlcontext-sync-execution-examples"><span class="secno">7.5.2.1</span> <span class="content">Examples</span></a>
          </ol>
-        <li><a href="#mlnamedarraybufferviews-transfer-alg"><span class="secno">7.4.3</span> <span class="content">The <code class="idl"><span>MLNamedArrayBufferViews</span></code> transfer algorithm</span></a>
+        <li><a href="#mlnamedarraybufferviews-transfer-alg"><span class="secno">7.5.3</span> <span class="content"><code class="idl"><span>MLNamedArrayBufferViews</span></code> transfer algorithm</span></a>
         <li>
-         <a href="#api-mlcontext-async-execution"><span class="secno">7.4.4</span> <span class="content">Asynchronous Execution</span></a>
+         <a href="#api-mlcontext-async-execution"><span class="secno">7.5.4</span> <span class="content">Asynchronous Execution</span></a>
          <ol class="toc">
-          <li><a href="#api-mlcontext-async-execution-examples"><span class="secno">7.4.4.1</span> <span class="content">Examples</span></a>
+          <li><a href="#api-mlcontext-async-execution-examples"><span class="secno">7.5.4.1</span> <span class="content">Examples</span></a>
          </ol>
-        <li><a href="#api-mlcontext-webgpu-interop"><span class="secno">7.4.5</span> <span class="content">WebGPU Interoperability</span></a>
-       </ol>
-      <li>
-       <a href="#api-mlcommandencoder"><span class="secno">7.5</span> <span class="content">The MLCommandEncoder interface</span></a>
-       <ol class="toc">
-        <li><a href="#api-mlcommandencoder-graph-initialization"><span class="secno">7.5.1</span> <span class="content">Graph Initialization</span></a>
-        <li><a href="#api-mlcommandencoder-dispatch-commands"><span class="secno">7.5.2</span> <span class="content">Dispatch Execution Commands</span></a>
-        <li><a href="#api-mlcommandencoder-generate-gpu-command-buffer"><span class="secno">7.5.3</span> <span class="content">Generate GPU Command Buffer</span></a>
+        <li><a href="#api-mlcontext-webgpu-interop"><span class="secno">7.5.5</span> <span class="content">WebGPU Interoperability</span></a>
        </ol>
+      <li><a href="#api-mlgraph"><span class="secno">7.6</span> <span class="content"><code class="idl"><span>MLGraph</span></code> interface</span></a>
       <li>
-       <a href="#api-mlgraphbuilder"><span class="secno">7.6</span> <span class="content">The MLGraphBuilder interface</span></a>
+       <a href="#api-mlgraphbuilder"><span class="secno">7.7</span> <span class="content"><code class="idl"><span>MLGraphBuilder</span></code> interface</span></a>
        <ol class="toc">
-        <li><a href="#api-mlgraphbuilder-constructor"><span class="secno">7.6.1</span> <span class="content">The <code class="idl"><span>MLGraphBuilder</span></code> constructor</span></a>
-        <li><a href="#api-mlgraphbuilder-input"><span class="secno">7.6.2</span> <span class="content">The <code class="idl"><span>input()</span></code> method</span></a>
+        <li><a href="#api-mlgraphbuilder-constructor"><span class="secno">7.7.1</span> <span class="content"><code class="idl"><span>MLGraphBuilder</span></code> constructor</span></a>
+        <li><a href="#api-mlgraphbuilder-argminmax"><span class="secno">7.7.2</span> <span class="content">argMin/Max</span></a>
+        <li><a href="#api-mlgraphbuilder-batchnorm"><span class="secno">7.7.3</span> <span class="content">batchNormalization</span></a>
         <li>
-         <a href="#api-mlgraphbuilder-build"><span class="secno">7.6.3</span> <span class="content">The build() method</span></a>
+         <a href="#api-mlgraphbuilder-build"><span class="secno">7.7.4</span> <span class="content">build</span></a>
          <ol class="toc">
-          <li><a href="#api-mlgraphbuilder-build-outputs"><span class="secno">7.6.3.1</span> <span class="content">The <code class="idl"><span>build(outputs)</span></code> method</span></a>
-          <li><a href="#api-mlgraphbuilder-buildsync-outputs"><span class="secno">7.6.3.2</span> <span class="content">The <code class="idl"><span>buildSync(outputs)</span></code> method</span></a>
+          <li><a href="#api-mlgraphbuilder-build-outputs"><span class="secno">7.7.4.1</span> <span class="content"><code class="idl"><span>build(outputs)</span></code></span></a>
+          <li><a href="#api-mlgraphbuilder-buildsync-outputs"><span class="secno">7.7.4.2</span> <span class="content"><code class="idl"><span>buildSync(outputs)</span></code></span></a>
          </ol>
+        <li><a href="#api-mlgraphbuilder-cast"><span class="secno">7.7.5</span> <span class="content">cast</span></a>
         <li>
-         <a href="#api-mlgraphbuilder-constant-method"><span class="secno">7.6.4</span> <span class="content">The constant() method</span></a>
+         <a href="#api-mlgraphbuilder-clamp"><span class="secno">7.7.6</span> <span class="content">clamp</span></a>
          <ol class="toc">
-          <li><a href="#api-mlgraphbuilder-constant"><span class="secno">7.6.4.1</span> <span class="content">The <code class="idl"><span>constant(descriptor, bufferView)</span></code> method</span></a>
-          <li><a href="#api-mlgraphbuilder-constant-value-datatype"><span class="secno">7.6.4.2</span> <span class="content">The <code class="idl"><span>constant(value, dataType)</span></code> method</span></a>
+          <li><a href="#api-mlgraphbuilder-clamp-operand-options"><span class="secno">7.7.6.1</span> <span class="content"><code class="idl"><span>clamp(input, options)</span></code></span></a>
+          <li><a href="#api-mlgraphbuilder-clamp-options"><span class="secno">7.7.6.2</span> <span class="content"><code class="idl"><span>clamp(options)</span></code></span></a>
          </ol>
-        <li><a href="#api-mlgraphbuilder-batchnorm"><span class="secno">7.6.5</span> <span class="content">The batchNormalization() method</span></a>
+        <li><a href="#api-mlgraphbuilder-concat"><span class="secno">7.7.7</span> <span class="content">concat</span></a>
         <li>
-         <a href="#api-mlgraphbuilder-clamp"><span class="secno">7.6.6</span> <span class="content">The clamp() method</span></a>
+         <a href="#api-mlgraphbuilder-constant"><span class="secno">7.7.8</span> <span class="content">constant</span></a>
          <ol class="toc">
-          <li><a href="#api-mlgraphbuilder-clamp-operand-options"><span class="secno">7.6.6.1</span> <span class="content">The <code class="idl"><span>clamp(operand, options)</span></code> method</span></a>
-          <li><a href="#api-mlgraphbuilder-clamp-options"><span class="secno">7.6.6.2</span> <span class="content">The <code class="idl"><span>clamp(options)</span></code> method</span></a>
+          <li><a href="#api-mlgraphbuilder-constant-bufferview"><span class="secno">7.7.8.1</span> <span class="content"><code class="idl"><span>constant(descriptor, bufferView)</span></code></span></a>
+          <li><a href="#api-mlgraphbuilder-constant-value-type"><span class="secno">7.7.8.2</span> <span class="content"><code class="idl"><span>constant(value, type)</span></code></span></a>
+          <li><a href="#api-mlgraphbuilder-constant-range"><span class="secno">7.7.8.3</span> <span class="content"><code class="idl"><span>constant(start, end, step, type)</span></code></span></a>
          </ol>
-        <li><a href="#api-mlgraphbuilder-concat"><span class="secno">7.6.7</span> <span class="content">The concat() method</span></a>
-        <li><a href="#api-mlgraphbuilder-conv2d"><span class="secno">7.6.8</span> <span class="content">The conv2d() method</span></a>
-        <li><a href="#api-mlgraphbuilder-convtranspose2d"><span class="secno">7.6.9</span> <span class="content">The convTranspose2d() method</span></a>
-        <li><a href="#api-mlgraphbuilder-binary"><span class="secno">7.6.10</span> <span class="content">Element-wise binary operations</span></a>
-        <li><a href="#api-mlgraphbuilder-unary"><span class="secno">7.6.11</span> <span class="content">Element-wise unary operations</span></a>
+        <li><a href="#api-mlgraphbuilder-conv2d"><span class="secno">7.7.9</span> <span class="content">conv2d</span></a>
+        <li><a href="#api-mlgraphbuilder-convtranspose2d"><span class="secno">7.7.10</span> <span class="content">convTranspose2d</span></a>
+        <li><a href="#api-mlgraphbuilder-binary"><span class="secno">7.7.11</span> <span class="content">Element-wise binary operations</span></a>
+        <li><a href="#api-mlgraphbuilder-logical"><span class="secno">7.7.12</span> <span class="content">Element-wise logical operations</span></a>
+        <li><a href="#api-mlgraphbuilder-unary"><span class="secno">7.7.13</span> <span class="content">Element-wise unary operations</span></a>
         <li>
-         <a href="#api-mlgraphbuilder-elu"><span class="secno">7.6.12</span> <span class="content">The elu() method</span></a>
+         <a href="#api-mlgraphbuilder-elu"><span class="secno">7.7.14</span> <span class="content">elu</span></a>
          <ol class="toc">
-          <li><a href="#api-mlgraphbuilder-elu-input-options"><span class="secno">7.6.12.1</span> <span class="content">The <code class="idl"><span>elu(input, options)</span></code> method</span></a>
-          <li><a href="#api-mlgraphbuilder-elu-options"><span class="secno">7.6.12.2</span> <span class="content">The <code class="idl"><span>elu(options)</span></code> method</span></a>
+          <li><a href="#api-mlgraphbuilder-elu-input-options"><span class="secno">7.7.14.1</span> <span class="content"><code class="idl"><span>elu(input, options)</span></code></span></a>
+          <li><a href="#api-mlgraphbuilder-elu-options"><span class="secno">7.7.14.2</span> <span class="content"><code class="idl"><span>elu(options)</span></code></span></a>
          </ol>
-        <li><a href="#api-mlgraphbuilder-gemm"><span class="secno">7.6.13</span> <span class="content">The gemm() method</span></a>
-        <li><a href="#api-mlgraphbuilder-gru"><span class="secno">7.6.14</span> <span class="content">The gru() method</span></a>
-        <li><a href="#api-mlgraphbuilder-grucell"><span class="secno">7.6.15</span> <span class="content">The gruCell() method</span></a>
+        <li><a href="#api-mlgraphbuilder-expand"><span class="secno">7.7.15</span> <span class="content">expand</span></a>
+        <li><a href="#api-mlgraphbuilder-gather"><span class="secno">7.7.16</span> <span class="content">gather</span></a>
+        <li><a href="#api-mlgraphbuilder-gemm"><span class="secno">7.7.17</span> <span class="content">gemm</span></a>
+        <li><a href="#api-mlgraphbuilder-gru"><span class="secno">7.7.18</span> <span class="content">gru</span></a>
+        <li><a href="#api-mlgraphbuilder-grucell"><span class="secno">7.7.19</span> <span class="content">gruCell</span></a>
         <li>
-         <a href="#api-mlgraphbuilder-hard-sigmoid"><span class="secno">7.6.16</span> <span class="content">The hardSigmoid() method</span></a>
+         <a href="#api-mlgraphbuilder-hard-sigmoid"><span class="secno">7.7.20</span> <span class="content">hardSigmoid</span></a>
          <ol class="toc">
-          <li><a href="#api-mlgraphbuilder-hardsigmoid-input-options"><span class="secno">7.6.16.1</span> <span class="content">The <code class="idl"><span>hardSigmoid(input, options)</span></code> method</span></a>
-          <li><a href="#api-mlgraphbuilder-hardsigmoid-options"><span class="secno">7.6.16.2</span> <span class="content">The <code class="idl"><span>hardSigmoid(options)</span></code> method</span></a>
+          <li><a href="#api-mlgraphbuilder-hardsigmoid-input-options"><span class="secno">7.7.20.1</span> <span class="content"><code class="idl"><span>hardSigmoid(input, options)</span></code></span></a>
+          <li><a href="#api-mlgraphbuilder-hardsigmoid-options"><span class="secno">7.7.20.2</span> <span class="content"><code class="idl"><span>hardSigmoid(options)</span></code></span></a>
          </ol>
         <li>
-         <a href="#api-mlgraphbuilder-hard-swish"><span class="secno">7.6.17</span> <span class="content">The hardSwish() method</span></a>
+         <a href="#api-mlgraphbuilder-hard-swish"><span class="secno">7.7.21</span> <span class="content">hardSwish</span></a>
          <ol class="toc">
-          <li><a href="#api-mlgraphbuilder-hardswish-input"><span class="secno">7.6.17.1</span> <span class="content">The <code class="idl"><span>hardSwish(input)</span></code> method</span></a>
-          <li><a href="#api-mlgraphbuilder-hardswish"><span class="secno">7.6.17.2</span> <span class="content">The <code class="idl"><span>hardSwish()</span></code> method</span></a>
+          <li><a href="#api-mlgraphbuilder-hardswish-input"><span class="secno">7.7.21.1</span> <span class="content"><code class="idl"><span>hardSwish(input)</span></code></span></a>
+          <li><a href="#api-mlgraphbuilder-hardswish"><span class="secno">7.7.21.2</span> <span class="content"><code class="idl"><span>hardSwish()</span></code></span></a>
          </ol>
-        <li><a href="#api-mlgraphbuilder-instancenorm"><span class="secno">7.6.18</span> <span class="content">The instanceNormalization() method</span></a>
+        <li><a href="#api-mlgraphbuilder-input"><span class="secno">7.7.22</span> <span class="content">input</span></a>
+        <li><a href="#api-mlgraphbuilder-instancenorm"><span class="secno">7.7.23</span> <span class="content">instanceNormalization</span></a>
+        <li><a href="#api-mlgraphbuilder-layernorm"><span class="secno">7.7.24</span> <span class="content">layerNormalization</span></a>
         <li>
-         <a href="#api-mlgraphbuilder-leakyrelu"><span class="secno">7.6.19</span> <span class="content">The leakyRelu() method</span></a>
+         <a href="#api-mlgraphbuilder-leakyrelu"><span class="secno">7.7.25</span> <span class="content">leakyRelu</span></a>
          <ol class="toc">
-          <li><a href="#api-mlgraphbuilder-leaky-relu-input-options"><span class="secno">7.6.19.1</span> <span class="content">The <code class="idl"><span>leakyRelu(input, options)</span></code> method</span></a>
-          <li><a href="#api-mlgraphbuilder-leaky-relu-options"><span class="secno">7.6.19.2</span> <span class="content">The <code class="idl"><span>leakyRelu(options)</span></code> method</span></a>
+          <li><a href="#api-mlgraphbuilder-leaky-relu-input-options"><span class="secno">7.7.25.1</span> <span class="content"><code class="idl"><span>leakyRelu(input, options)</span></code></span></a>
+          <li><a href="#api-mlgraphbuilder-leaky-relu-options"><span class="secno">7.7.25.2</span> <span class="content"><code class="idl"><span>leakyRelu(options)</span></code></span></a>
          </ol>
         <li>
-         <a href="#api-mlgraphbuilder-linear"><span class="secno">7.6.20</span> <span class="content">The linear() method</span></a>
+         <a href="#api-mlgraphbuilder-linear"><span class="secno">7.7.26</span> <span class="content">linear</span></a>
          <ol class="toc">
-          <li><a href="#api-mlgraphbuilder-linear-input-options"><span class="secno">7.6.20.1</span> <span class="content">The <code class="idl"><span>linear(input, options)</span></code> method</span></a>
-          <li><a href="#api-mlgraphbuilder-linear-options"><span class="secno">7.6.20.2</span> <span class="content">The <code class="idl"><span>linear(options)</span></code> method</span></a>
+          <li><a href="#api-mlgraphbuilder-linear-input-options"><span class="secno">7.7.26.1</span> <span class="content"><code class="idl"><span>linear(input, options)</span></code></span></a>
+          <li><a href="#api-mlgraphbuilder-linear-options"><span class="secno">7.7.26.2</span> <span class="content"><code class="idl"><span>linear(options)</span></code></span></a>
          </ol>
-        <li><a href="#api-mlgraphbuilder-lstm"><span class="secno">7.6.21</span> <span class="content">The lstm() method</span></a>
-        <li><a href="#api-mlgraphbuilder-lstmcell"><span class="secno">7.6.22</span> <span class="content">The lstmCell() method</span></a>
-        <li><a href="#api-mlgraphbuilder-matmul"><span class="secno">7.6.23</span> <span class="content">The matmul() method</span></a>
-        <li><a href="#api-mlgraphbuilder-pad"><span class="secno">7.6.24</span> <span class="content">The pad() method</span></a>
-        <li><a href="#api-mlgraphbuilder-pool2d"><span class="secno">7.6.25</span> <span class="content">Pooling operations</span></a>
-        <li><a href="#api-mlgraphbuilder-prelu"><span class="secno">7.6.26</span> <span class="content">The prelu() method</span></a>
-        <li><a href="#api-mlgraphbuilder-reduce"><span class="secno">7.6.27</span> <span class="content">Reduction operations</span></a>
+        <li><a href="#api-mlgraphbuilder-lstm"><span class="secno">7.7.27</span> <span class="content">lstm</span></a>
+        <li><a href="#api-mlgraphbuilder-lstmcell"><span class="secno">7.7.28</span> <span class="content">lstmCell</span></a>
+        <li><a href="#api-mlgraphbuilder-matmul"><span class="secno">7.7.29</span> <span class="content">matmul</span></a>
+        <li><a href="#api-mlgraphbuilder-pad"><span class="secno">7.7.30</span> <span class="content">pad</span></a>
         <li>
-         <a href="#api-mlgraphbuilder-relu-method"><span class="secno">7.6.28</span> <span class="content">The relu() method</span></a>
+         <a href="#api-mlgraphbuilder-pool2d"><span class="secno">7.7.31</span> <span class="content">Pooling operations</span></a>
          <ol class="toc">
-          <li><a href="#api-mlgraphbuilder-relu-input"><span class="secno">7.6.28.1</span> <span class="content">The <code class="idl"><span>relu(input)</span></code> method</span></a>
-          <li><a href="#api-mlgraphbuilder-relu"><span class="secno">7.6.28.2</span> <span class="content">The <code class="idl"><span>relu()</span></code> method</span></a>
+          <li><a href="#api-mlgraphbuilder-pool2d-average"><span class="secno">7.7.31.1</span> <span class="content">averagePool2d</span></a>
+          <li><a href="#api-mlgraphbuilder-pool2d-l2"><span class="secno">7.7.31.2</span> <span class="content">l2Pool2d</span></a>
+          <li><a href="#api-mlgraphbuilder-pool2d-max"><span class="secno">7.7.31.3</span> <span class="content">maxPool2d</span></a>
          </ol>
-        <li><a href="#api-mlgraphbuilder-resample2d-method"><span class="secno">7.6.29</span> <span class="content">The resample2d() method</span></a>
-        <li><a href="#api-mlgraphbuilder-reshape-method"><span class="secno">7.6.30</span> <span class="content">The reshape() method</span></a>
+        <li><a href="#api-mlgraphbuilder-prelu"><span class="secno">7.7.32</span> <span class="content">prelu</span></a>
+        <li><a href="#api-mlgraphbuilder-reduce"><span class="secno">7.7.33</span> <span class="content">Reduction operations</span></a>
         <li>
-         <a href="#api-mlgraphbuilder-sigmoid-method"><span class="secno">7.6.31</span> <span class="content">The sigmoid() method</span></a>
+         <a href="#api-mlgraphbuilder-relu-method"><span class="secno">7.7.34</span> <span class="content">relu</span></a>
          <ol class="toc">
-          <li><a href="#api-mlgraphbuilder-sigmoid-input"><span class="secno">7.6.31.1</span> <span class="content">The <code class="idl"><span>sigmoid(input)</span></code> method</span></a>
-          <li><a href="#api-mlgraphbuilder-sigmoid"><span class="secno">7.6.31.2</span> <span class="content">The <code class="idl"><span>sigmoid()</span></code> method</span></a>
+          <li><a href="#api-mlgraphbuilder-relu-input"><span class="secno">7.7.34.1</span> <span class="content"><code class="idl"><span>relu(input)</span></code></span></a>
+          <li><a href="#api-mlgraphbuilder-relu"><span class="secno">7.7.34.2</span> <span class="content"><code class="idl"><span>relu()</span></code></span></a>
          </ol>
-        <li><a href="#api-mlgraphbuilder-slice"><span class="secno">7.6.32</span> <span class="content">The slice() method</span></a>
+        <li><a href="#api-mlgraphbuilder-resample2d-method"><span class="secno">7.7.35</span> <span class="content">resample2d</span></a>
+        <li><a href="#api-mlgraphbuilder-reshape-method"><span class="secno">7.7.36</span> <span class="content">reshape</span></a>
         <li>
-         <a href="#api-mlgraphbuilder-softmax-method"><span class="secno">7.6.33</span> <span class="content">The softmax() method</span></a>
+         <a href="#api-mlgraphbuilder-sigmoid-method"><span class="secno">7.7.37</span> <span class="content">sigmoid</span></a>
          <ol class="toc">
-          <li><a href="#api-mlgraphbuilder-softmax-input"><span class="secno">7.6.33.1</span> <span class="content">The <code class="idl"><span>softmax(input)</span></code> method</span></a>
-          <li><a href="#api-mlgraphbuilder-softmax"><span class="secno">7.6.33.2</span> <span class="content">The <code class="idl"><span>softmax()</span></code> method</span></a>
+          <li><a href="#api-mlgraphbuilder-sigmoid-input"><span class="secno">7.7.37.1</span> <span class="content"><code class="idl"><span>sigmoid(input)</span></code></span></a>
+          <li><a href="#api-mlgraphbuilder-sigmoid"><span class="secno">7.7.37.2</span> <span class="content"><code class="idl"><span>sigmoid()</span></code></span></a>
          </ol>
+        <li><a href="#api-mlgraphbuilder-slice"><span class="secno">7.7.38</span> <span class="content">slice</span></a>
         <li>
-         <a href="#api-mlgraphbuilder-softplus-method"><span class="secno">7.6.34</span> <span class="content">The softplus() method</span></a>
+         <a href="#api-mlgraphbuilder-softmax-method"><span class="secno">7.7.39</span> <span class="content">softmax</span></a>
          <ol class="toc">
-          <li><a href="#api-mlgraphbuilder-softplus-input-options"><span class="secno">7.6.34.1</span> <span class="content">The <code class="idl"><span>softplus(input, options)</span></code> method</span></a>
-          <li><a href="#api-mlgraphbuilder-softplus-options"><span class="secno">7.6.34.2</span> <span class="content">The <code class="idl"><span>softplus(options)</span></code> method</span></a>
+          <li><a href="#api-mlgraphbuilder-softmax-input"><span class="secno">7.7.39.1</span> <span class="content"><code class="idl"><span>softmax(input)</span></code></span></a>
+          <li><a href="#api-mlgraphbuilder-softmax"><span class="secno">7.7.39.2</span> <span class="content"><code class="idl"><span>softmax()</span></code></span></a>
          </ol>
         <li>
-         <a href="#api-mlgraphbuilder-softsign-method"><span class="secno">7.6.35</span> <span class="content">The softsign() method</span></a>
+         <a href="#api-mlgraphbuilder-softplus-method"><span class="secno">7.7.40</span> <span class="content">softplus</span></a>
          <ol class="toc">
-          <li><a href="#api-mlgraphbuilder-softsign-input"><span class="secno">7.6.35.1</span> <span class="content">The <code class="idl"><span>softsign(input)</span></code> method</span></a>
-          <li><a href="#api-mlgraphbuilder-softsign"><span class="secno">7.6.35.2</span> <span class="content">The <code class="idl"><span>softsign()</span></code> method</span></a>
+          <li><a href="#api-mlgraphbuilder-softplus-input-options"><span class="secno">7.7.40.1</span> <span class="content"><code class="idl"><span>softplus(input, options)</span></code></span></a>
+          <li><a href="#api-mlgraphbuilder-softplus-options"><span class="secno">7.7.40.2</span> <span class="content"><code class="idl"><span>softplus(options)</span></code></span></a>
          </ol>
-        <li><a href="#api-mlgraphbuilder-split"><span class="secno">7.6.36</span> <span class="content">The split() method</span></a>
-        <li><a href="#api-mlgraphbuilder-squeeze"><span class="secno">7.6.37</span> <span class="content">The squeeze() method</span></a>
         <li>
-         <a href="#api-mlgraphbuilder-tanh-method"><span class="secno">7.6.38</span> <span class="content">The tanh() method</span></a>
+         <a href="#api-mlgraphbuilder-softsign-method"><span class="secno">7.7.41</span> <span class="content">softsign</span></a>
          <ol class="toc">
-          <li><a href="#api-mlgraphbuilder-tanh-input"><span class="secno">7.6.38.1</span> <span class="content">The <code class="idl"><span>tanh(input)</span></code> method</span></a>
-          <li><a href="#api-mlgraphbuilder-tanh"><span class="secno">7.6.38.2</span> <span class="content">The <code class="idl"><span>tanh()</span></code> method</span></a>
+          <li><a href="#api-mlgraphbuilder-softsign-input"><span class="secno">7.7.41.1</span> <span class="content"><code class="idl"><span>softsign(input)</span></code></span></a>
+          <li><a href="#api-mlgraphbuilder-softsign"><span class="secno">7.7.41.2</span> <span class="content"><code class="idl"><span>softsign()</span></code></span></a>
          </ol>
-        <li><a href="#api-mlgraphbuilder-transpose"><span class="secno">7.6.39</span> <span class="content">The transpose() method</span></a>
+        <li><a href="#api-mlgraphbuilder-split"><span class="secno">7.7.42</span> <span class="content">split</span></a>
+        <li>
+         <a href="#api-mlgraphbuilder-tanh-method"><span class="secno">7.7.43</span> <span class="content">tanh</span></a>
+         <ol class="toc">
+          <li><a href="#api-mlgraphbuilder-tanh-input"><span class="secno">7.7.43.1</span> <span class="content"><code class="idl"><span>tanh(input)</span></code></span></a>
+          <li><a href="#api-mlgraphbuilder-tanh"><span class="secno">7.7.43.2</span> <span class="content"><code class="idl"><span>tanh()</span></code></span></a>
+         </ol>
+        <li><a href="#api-mlgraphbuilder-transpose"><span class="secno">7.7.44</span> <span class="content">transpose</span></a>
+        <li><a href="#api-mlgraphbuilder-triangular"><span class="secno">7.7.45</span> <span class="content">triangular</span></a>
+        <li><a href="#api-mlgraphbuilder-where"><span class="secno">7.7.46</span> <span class="content">where</span></a>
+       </ol>
+      <li>
+       <a href="#api-mloperand"><span class="secno">7.8</span> <span class="content"><code class="idl"><span>MLOperand</span></code> interface</span></a>
+       <ol class="toc">
+        <li><a href="#api-mloperand-create"><span class="secno">7.8.1</span> <span class="content">Creating <code class="idl"><span>MLOperand</span></code></span></a>
+        <li><a href="#api-mloperand-datatype"><span class="secno">7.8.2</span> <span class="content">dataType</span></a>
+        <li><a href="#api-mloperand-shape"><span class="secno">7.8.3</span> <span class="content">shape</span></a>
        </ol>
+      <li><a href="#api-mloperanddescriptor"><span class="secno">7.9</span> <span class="content"><code class="idl"><span>MLOperandDescriptor</span></code> dictionary</span></a>
      </ol>
     <li><a href="#examples"><span class="secno">8</span> <span class="content">Examples</span></a>
     <li>
@@ -1308,7 +1321,7 @@ <h2 class="no-num no-toc no-ref" id="contents">Table of Contents</h2>
     }
 </script>
    <h2 class="heading settled" data-level="1" id="intro"><span class="secno">1. </span><span class="content">Introduction</span><a class="self-link" href="#intro"></a></h2>
-   <p>The Web Neural Network API defines a web-friendly hardware-agnostic abstraction layer that makes use of Machine Learning capabilities of operating systems and underlying hardware platforms without being tied to platform-specific capabilities. The abstraction layer addresses the requirements of key Machine Learning JavaScript frameworks and also allows web developers familiar with the ML domain to write custom code without the help of libraries. A complementary <a href="https://webmachinelearning.github.io/model-loader/">Model Loader API</a> defines a higher-level abstraction targeting primarily web developers.</p>
+   <p>The Web Neural Network API defines a web-friendly hardware-agnostic abstraction layer that makes use of Machine Learning capabilities of operating systems and underlying hardware platforms without being tied to platform-specific capabilities. The abstraction layer addresses the requirements of key Machine Learning JavaScript frameworks and also allows web developers familiar with the ML domain to write custom code without the help of libraries.</p>
    <p>For an illustrated introduction, please see the <a href="https://github.com/webmachinelearning/webnn/blob/master/explainer.md">explainer</a>.</p>
    <h2 class="heading settled" data-level="2" id="usecases"><span class="secno">2. </span><span class="content">Use cases</span><a class="self-link" href="#usecases"></a></h2>
    <h3 class="heading settled" data-level="2.1" id="usecases-application"><span class="secno">2.1. </span><span class="content">Application Use Cases</span><a class="self-link" href="#usecases-application"></a></h3>
@@ -1510,8 +1523,8 @@ <h3 class="heading settled" data-level="6.1" id="programming-model-overview"><sp
 array data (such as its shape).</p>
    <p>As mentioned above, the operations have a functional semantics. This allows the implementation
 to potentially share the array data between multiple tensors. For example, the implementation
-of operations such as reshape, or slice, or squeeze may return a view of its input tensor
-that shares the same buffer as the input tensor. (In the case of reshape or squeeze,
+of operations such as reshape, or slice may return a view of its input tensor
+that shares the same buffer as the input tensor. (In the case of reshape,
 the entire data is shared, while in the case of slice, a part of the input data is shared.)
 The implementation may use views, as above, for intermediate values.</p>
    <p>Before the execution, the computation graph that is used to compute one or more specified outputs needs to be compiled and optimized. The key purpose of the compilation step is to enable optimizations that span two or more operations, such as operation or loop fusion.</p>
@@ -1569,7 +1582,7 @@ <h3 class="heading settled" data-level="7.1" id="api-navigator-ml"><span class="
 <a data-link-type="idl-name" href="https://html.spec.whatwg.org/multipage/system-state.html#navigator" id="ref-for-navigator①"><c- n>Navigator</c-></a> <c- b>includes</c-> <a data-link-type="idl-name" href="#navigatorml" id="ref-for-navigatorml"><c- n>NavigatorML</c-></a>;
 <a data-link-type="idl-name" href="https://html.spec.whatwg.org/multipage/workers.html#workernavigator" id="ref-for-workernavigator①"><c- n>WorkerNavigator</c-></a> <c- b>includes</c-> <a data-link-type="idl-name" href="#navigatorml" id="ref-for-navigatorml①"><c- n>NavigatorML</c-></a>;
 </pre>
-   <h3 class="heading settled" data-level="7.2" id="api-ml"><span class="secno">7.2. </span><span class="content">The ML interface</span><a class="self-link" href="#api-ml"></a></h3>
+   <h3 class="heading settled" data-level="7.2" id="api-ml"><span class="secno">7.2. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#ml" id="ref-for-ml②">ML</a></code> interface</span><a class="self-link" href="#api-ml"></a></h3>
 <pre class="idl highlight def"><c- b>enum</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="enum" data-export id="enumdef-mldevicetype"><code><c- g>MLDeviceType</c-></code></dfn> {
   <dfn class="idl-code" data-dfn-for="MLDeviceType" data-dfn-type="enum-value" data-export id="dom-mldevicetype-cpu"><code><c- s>"cpu"</c-></code><a class="self-link" href="#dom-mldevicetype-cpu"></a></dfn>,
   <dfn class="idl-code" data-dfn-for="MLDeviceType" data-dfn-type="enum-value" data-export id="dom-mldevicetype-gpu"><code><c- s>"gpu"</c-></code><a class="self-link" href="#dom-mldevicetype-gpu"></a></dfn>
@@ -1601,7 +1614,7 @@ <h4 class="heading settled" data-level="7.2.1" id="permissions-policy-integratio
    <p>This specification defines a <a data-link-type="dfn" href="https://w3c.github.io/webappsec-permissions-policy/#policy-controlled-feature" id="ref-for-policy-controlled-feature">policy-controlled feature</a> identified by the
 string "<code><dfn class="dfn-paneled" data-dfn-type="dfn" data-lt="webnn-feature" data-noexport id="webnn-feature">webnn</dfn></code>".
 Its <a data-link-type="dfn" href="https://w3c.github.io/webappsec-permissions-policy/#policy-controlled-feature-default-allowlist" id="ref-for-policy-controlled-feature-default-allowlist">default allowlist</a> is <code>'self'</code>.</p>
-   <h4 class="heading settled" data-level="7.2.2" id="api-ml-createcontext"><span class="secno">7.2.2. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#dom-ml-createcontext" id="ref-for-dom-ml-createcontext①">createContext()</a></code> method</span><a class="self-link" href="#api-ml-createcontext"></a></h4>
+   <h4 class="heading settled" data-level="7.2.2" id="api-ml-createcontext"><span class="secno">7.2.2. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-ml-createcontext" id="ref-for-dom-ml-createcontext①">createContext</a></code></span><a class="self-link" href="#api-ml-createcontext"></a></h4>
    <details class="algorithm" data-algorithm="create a context" open>
     <summary> To <dfn class="dfn-paneled" data-dfn-type="dfn" data-noexport id="create-a-context">create a context</dfn> given <var>options</var>, run these steps: </summary>
     <div class="algorithm-steps">
@@ -1671,7 +1684,7 @@ <h4 class="heading settled" data-level="7.2.2" id="api-ml-createcontext"><span c
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.2.3" id="api-ml-createcontextsync"><span class="secno">7.2.3. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#dom-ml-createcontextsync" id="ref-for-dom-ml-createcontextsync①">createContextSync()</a></code> method</span><a class="self-link" href="#api-ml-createcontextsync"></a></h4>
+   <h4 class="heading settled" data-level="7.2.3" id="api-ml-createcontextsync"><span class="secno">7.2.3. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-ml-createcontextsync" id="ref-for-dom-ml-createcontextsync①">createContextSync</a></code></span><a class="self-link" href="#api-ml-createcontextsync"></a></h4>
    <details class="algorithm" data-algorithm="createContextSync(options)" data-algorithm-for="ML" open>
     <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="ML" data-dfn-type="method" data-export data-lt="createContextSync(options)|createContextSync()" id="dom-ml-createcontextsync"><code>createContextSync(<var>options</var>)</code></dfn> method steps are: </summary>
     <div class="algorithm-steps">
@@ -1702,245 +1715,224 @@ <h4 class="heading settled" data-level="7.2.3" id="api-ml-createcontextsync"><sp
      </ol>
     </div>
    </details>
-   <h3 class="heading settled" data-level="7.3" id="api-mlgraph"><span class="secno">7.3. </span><span class="content">The MLGraph interface</span><a class="self-link" href="#api-mlgraph"></a></h3>
-    The <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph⑥">MLGraph</a></code> interface represents a compiled computational graph. A compiled graph once constructed is immutable and cannot be subsequently changed. 
+   <h3 class="heading settled" data-level="7.3" id="api-mlactivation"><span class="secno">7.3. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation">MLActivation</a></code> interface</span><a class="self-link" href="#api-mlactivation"></a></h3>
+   <p>Objects implementing the <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation①">MLActivation</a></code> interface represent activation function types.</p>
 <pre class="idl highlight def">[<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#SecureContext" id="ref-for-SecureContext②"><c- g>SecureContext</c-></a>, <a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#Exposed" id="ref-for-Exposed③"><c- g>Exposed</c-></a>=(<c- n>Window</c->, <c- n>DedicatedWorker</c->)]
-<c- b>interface</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="interface" data-export id="mlgraph"><code><c- g>MLGraph</c-></code></dfn> {};
+<c- b>interface</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="interface" data-export id="mlactivation"><code><c- g>MLActivation</c-></code></dfn> {
+};
 </pre>
    <div class="internal-slots">
-     <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph⑦">MLGraph</a></code> has the following internal slots: 
+     <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation②">MLActivation</a></code> has the following internal slots: 
     <dl>
-     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGraph" data-dfn-type="attribute" data-export id="dom-mlgraph-context-slot"><code>[[context]]</code></dfn> of type <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext①⑦">MLContext</a></code>
+     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLActivation" data-dfn-type="attribute" data-export id="dom-mlactivation-name-slot"><code>[[name]]</code></dfn> of type <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string">string</a>
      <dd data-md>
-      <p>The context of type <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext①⑧">MLContext</a></code> associated with this <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph⑧">MLGraph</a></code>.</p>
-     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGraph" data-dfn-type="attribute" data-export id="dom-mlgraph-inputdescriptors-slot"><code>[[inputDescriptors]]</code></dfn> of type <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-record" id="ref-for-idl-record">record</a>&lt;<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMString" id="ref-for-idl-DOMString">DOMString</a></code>, <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor">MLOperandDescriptor</a></code>>
+      <p>The <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation③">MLActivation</a></code>'s name.</p>
+     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLActivation" data-dfn-type="attribute" data-export id="dom-mlactivation-builder-slot"><code>[[builder]]</code></dfn> of type <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑧">MLGraphBuilder</a></code>
      <dd data-md>
-      <p>Maps the name of an input <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑦">MLOperand</a></code> to its <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①">MLOperandDescriptor</a></code> for all input <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑧">MLOperand</a></code>s of this <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph⑨">MLGraph</a></code>.</p>
-     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGraph" data-dfn-type="attribute" data-export id="dom-mlgraph-outputdescriptors-slot"><code>[[outputDescriptors]]</code></dfn> of type <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-record" id="ref-for-idl-record①">record</a>&lt;<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMString" id="ref-for-idl-DOMString①">DOMString</a></code>, <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor②">MLOperandDescriptor</a></code>>
+      <p>The graph builder object this <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation④">MLActivation</a></code> belongs to.</p>
+     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLActivation" data-dfn-type="attribute" data-export id="dom-mlactivation-options-slot"><code>[[options]]</code></dfn> of type <a data-link-type="dfn" href="https://w3c.github.io/FileAPI/#blob-url-entry-object" id="ref-for-blob-url-entry-object">object</a>
      <dd data-md>
-      <p>Maps the name of an output <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑨">MLOperand</a></code> to its <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor③">MLOperandDescriptor</a></code> for all output <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⓪">MLOperand</a></code>s of this <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph①⓪">MLGraph</a></code>.</p>
-     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGraph" data-dfn-type="attribute" data-export id="dom-mlgraph-implementation-slot"><code>[[implementation]]</code></dfn>
+      <p>A dictionary containing <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation⑤">MLActivation</a></code> options.</p>
+     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLActivation" data-dfn-type="attribute" data-export id="dom-mlactivation-operator-slot"><code>[[operator]]</code></dfn> of type <a data-link-type="dfn" href="https://w3c.github.io/FileAPI/#blob-url-entry-object" id="ref-for-blob-url-entry-object①">object</a>
      <dd data-md>
-      <p>The underlying implementation provided by the User Agent.</p>
+      <p>Reference to <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation⑥">MLActivation</a></code>'s corresponding <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined">implementation-defined</a> platform operator object.</p>
     </dl>
    </div>
-   <h4 class="heading settled" data-level="7.3.1" id="api-mloperanddescriptor"><span class="secno">7.3.1. </span><span class="content">The MLOperandDescriptor dictionary</span><a class="self-link" href="#api-mloperanddescriptor"></a></h4>
-<pre class="idl highlight def"><c- b>enum</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="enum" data-export id="enumdef-mlinputoperandlayout"><code><c- g>MLInputOperandLayout</c-></code></dfn> {
-  <dfn class="idl-code" data-dfn-for="MLInputOperandLayout" data-dfn-type="enum-value" data-export id="dom-mlinputoperandlayout-nchw"><code><c- s>"nchw"</c-></code><a class="self-link" href="#dom-mlinputoperandlayout-nchw"></a></dfn>,
-  <dfn class="idl-code" data-dfn-for="MLInputOperandLayout" data-dfn-type="enum-value" data-export id="dom-mlinputoperandlayout-nhwc"><code><c- s>"nhwc"</c-></code><a class="self-link" href="#dom-mlinputoperandlayout-nhwc"></a></dfn>
-};
-
-<c- b>enum</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="enum" data-export id="enumdef-mloperanddatatype"><code><c- g>MLOperandDataType</c-></code></dfn> {
-  <dfn class="dfn-paneled idl-code" data-dfn-for="MLOperandDataType" data-dfn-type="enum-value" data-export id="dom-mloperanddatatype-float32"><code><c- s>"float32"</c-></code></dfn>,
-  <dfn class="dfn-paneled idl-code" data-dfn-for="MLOperandDataType" data-dfn-type="enum-value" data-export id="dom-mloperanddatatype-float16"><code><c- s>"float16"</c-></code></dfn>,
-  <dfn class="dfn-paneled idl-code" data-dfn-for="MLOperandDataType" data-dfn-type="enum-value" data-export id="dom-mloperanddatatype-int32"><code><c- s>"int32"</c-></code></dfn>,
-  <dfn class="dfn-paneled idl-code" data-dfn-for="MLOperandDataType" data-dfn-type="enum-value" data-export id="dom-mloperanddatatype-uint32"><code><c- s>"uint32"</c-></code></dfn>,
-  <dfn class="dfn-paneled idl-code" data-dfn-for="MLOperandDataType" data-dfn-type="enum-value" data-export id="dom-mloperanddatatype-int8"><code><c- s>"int8"</c-></code></dfn>,
-  <dfn class="dfn-paneled idl-code" data-dfn-for="MLOperandDataType" data-dfn-type="enum-value" data-export id="dom-mloperanddatatype-uint8"><code><c- s>"uint8"</c-></code></dfn>
-};
-
-<c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mloperanddescriptor"><code><c- g>MLOperandDescriptor</c-></code></dfn> {
-  // The operand data type.
-  <c- b>required</c-> <a data-link-type="idl-name" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype①"><c- n>MLOperandDataType</c-></a> <dfn class="dfn-paneled idl-code" data-dfn-for="MLOperandDescriptor" data-dfn-type="dict-member" data-export data-type="MLOperandDataType " id="dom-mloperanddescriptor-datatype"><code><c- g>dataType</c-></code></dfn>;
-
-  // The dimensions field is only required for tensor operands.
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long"><c- b>unsigned</c-> <c- b>long</c-></a>> <dfn class="dfn-paneled idl-code" data-dfn-for="MLOperandDescriptor" data-dfn-type="dict-member" data-export data-type="sequence<unsigned long> " id="dom-mloperanddescriptor-dimensions"><code><c- g>dimensions</c-></code></dfn>;
-};
-</pre>
-   <details class="algorithm" data-algorithm="byte length" data-algorithm-for="MLOperandDescriptor" open>
-    <summary> The <dfn class="dfn-paneled" data-dfn-for="MLOperandDescriptor" data-dfn-type="dfn" data-noexport id="mloperanddescriptor-byte-length">byte length</dfn> of an <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor④">MLOperandDescriptor</a></code> <var>desc</var> is the value returned by the following steps: </summary>
+   <div class="note" role="note"> These activations function types are used to create other operations. One such use of this interface is for when an activation function is fused into another operation such as <a href="#api-mlgraphbuilder-conv2d">§ 7.7.9 conv2d</a> or <a href="#api-mlgraphbuilder-batchnorm">§ 7.7.3 batchNormalization</a> during a graph construction session. Such fused activation functions can provide a significant performance improvement when supported natively by the underlying implementation. This is intended as an optimization opportunity for implementers. </div>
+   <h4 class="heading settled" data-level="7.3.1" id="api-mlactivation-create"><span class="secno">7.3.1. </span><span class="content">Creating <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation⑦">MLActivation</a></code></span><a class="self-link" href="#api-mlactivation-create"></a></h4>
+   <div class="note" role="note"> The <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation⑧">MLActivation</a></code> objects (including the ones passed as input to methods) are created by the methods of <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑨">MLGraphBuilder</a></code> and are identified by their name. The <var>options</var> dictionary is defined by those methods. The actual creation of the activation function e.g. a <a href="#api-mlgraphbuilder-sigmoid-method">§ 7.7.37 sigmoid</a> or <a href="#api-mlgraphbuilder-relu-method">§ 7.7.34 relu</a> can then be deferred until when the rest of the graph is ready to connect with it such as during the construction of <a href="#api-mlgraphbuilder-conv2d">§ 7.7.9 conv2d</a> for example. </div>
+   <details class="algorithm" data-algorithm="create an MLActivation" open>
+    <summary> To <dfn class="dfn-paneled" data-dfn-type="dfn" data-noexport id="create-an-mlactivation">create an MLActivation</dfn> given <var>builder</var>, <var>name</var>, <var>options</var> and <var>init-steps</var>, run the following steps: </summary>
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p>Let <var>elementLength</var> be 1.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert">Assert</a>: the type of <var>builder</var> is <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder①⓪">MLGraphBuilder</a></code>.</p>
+      <li data-md>
+       <p>If <var>name</var> is empty, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw④">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror">TypeError</a></code>".</p>
+      <li data-md>
+       <p>Let <var>activation</var> be a new <a data-link-type="dfn" href="https://w3c.github.io/FileAPI/#blob-url-entry-object" id="ref-for-blob-url-entry-object②">object</a>.</p>
+      <li data-md>
+       <p>Set <var>activation</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlactivation-builder-slot" id="ref-for-dom-mlactivation-builder-slot">[[builder]]</a></code> to <var>builder</var>.</p>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate">For each</a> <var>dimension</var> of <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions">dimensions</a></code>:</p>
+       <p>Set <var>activation</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlactivation-name-slot" id="ref-for-dom-mlactivation-name-slot">[[name]]</a></code> to <var>name</var>.</p>
+      <li data-md>
+       <p>If <var>options</var> is an <a data-link-type="dfn" href="https://w3c.github.io/FileAPI/#blob-url-entry-object" id="ref-for-blob-url-entry-object③">object</a>, set <var>activation</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlactivation-options-slot" id="ref-for-dom-mlactivation-options-slot">[[options]]</a></code> to <var>options</var>.</p>
+      <li data-md>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑤">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror①">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑨">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Set <var>elementLength</var> to <var>elementLength</var> × <var>dimension</var>.</p>
+         <p>Make a request to the underlying platform to:</p>
+         <ol>
+          <li data-md>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined①">implementation-defined</a> platform operator <var>opImpl</var> for the given <var>name</var> operation.</p>
+          <li data-md>
+           <p>Store a reference of <var>opImpl</var> in <var>activation</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlactivation-operator-slot" id="ref-for-dom-mlactivation-operator-slot">[[operator]]</a></code>.</p>
+         </ol>
+        <li data-md>
+         <p>If <var>init-steps</var> are defined, run <var>init-steps</var> with <var>options</var>.</p>
+         <ol>
+          <li data-md>
+           <p>Otherwise, initialize <var>activation</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlactivation-operator-slot" id="ref-for-dom-mlactivation-operator-slot①">[[operator]]</a></code> given <var>options</var> in an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined②">implementation-defined</a> way for the given <var>name</var> operation.</p>
+         </ol>
        </ol>
       <li data-md>
-       <p>Let <var>elementSize</var> be the <a data-link-type="dfn" href="https://tc39.es/ecma262/#table-the-typedarray-constructors" id="ref-for-table-the-typedarray-constructors">element size</a> of one of the <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView②">ArrayBufferView</a></code> types that matches <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype">dataType</a></code> according to <a href="#appendices-mloperanddatatype-arraybufferview-compatibility">this table</a>.</p>
-      <li data-md>
-       <p>Return <var>elementLength</var> × <var>elementSize</var>.</p>
+       <p>Return <var>activation</var>.</p>
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.3.2" id="api-mloperand"><span class="secno">7.3.2. </span><span class="content">The MLOperand interface</span><a class="self-link" href="#api-mloperand"></a></h4>
-   <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①①">MLOperand</a></code> represents an intermediary graph being constructed as a result of compositing parts of an operation into a fully composed operation.</p>
-   <p>For instance, an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①②">MLOperand</a></code> may represent a constant feeding to an operation or the result from combining multiple constants together into an operation. See also <a href="#programming-model">§ 6 Programming Model</a>.</p>
-<pre class="idl highlight def">[<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#SecureContext" id="ref-for-SecureContext③"><c- g>SecureContext</c-></a>, <a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#Exposed" id="ref-for-Exposed④"><c- g>Exposed</c-></a>=(<c- n>Window</c->, <c- n>DedicatedWorker</c->)]
-<c- b>interface</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="interface" data-export id="mloperand"><code><c- g>MLOperand</c-></code></dfn> {};
+   <h3 class="heading settled" data-level="7.4" id="api-mlcommandencoder"><span class="secno">7.4. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#mlcommandencoder" id="ref-for-mlcommandencoder②">MLCommandEncoder</a></code> interface</span><a class="self-link" href="#api-mlcommandencoder"></a></h3>
+    The <code class="idl"><a data-link-type="idl" href="#mlcommandencoder" id="ref-for-mlcommandencoder③">MLCommandEncoder</a></code> interface represents a method of execution that synchronously records the computational workload of a compiled <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph⑥">MLGraph</a></code> to a <code class="idl"><a data-link-type="idl" href="https://gpuweb.github.io/gpuweb/#gpucommandbuffer" id="ref-for-gpucommandbuffer②">GPUCommandBuffer</a></code> on the calling thread. Since the workload is not immediately executed, just recorded, this method allows more flexibility for the caller to determine how and when the recorded commands will be submitted for execution on the GPU relative to other GPU workload on the same or different queue. 
+<pre class="idl highlight def"><c- b>typedef</c-> (<a data-link-type="idl-name" href="https://gpuweb.github.io/gpuweb/#gpubuffer" id="ref-for-gpubuffer①"><c- n>GPUBuffer</c-></a> <c- b>or</c-> <a data-link-type="idl-name" href="https://gpuweb.github.io/gpuweb/#gputexture" id="ref-for-gputexture①"><c- n>GPUTexture</c-></a>) <dfn class="dfn-paneled idl-code" data-dfn-type="typedef" data-export id="typedefdef-mlgpuresource"><code><c- g>MLGPUResource</c-></code></dfn>;
+
+<c- b>typedef</c-> <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-record" id="ref-for-idl-record"><c- b>record</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-DOMString" id="ref-for-idl-DOMString"><c- b>DOMString</c-></a>, <a data-link-type="idl-name" href="#typedefdef-mlgpuresource" id="ref-for-typedefdef-mlgpuresource"><c- n>MLGPUResource</c-></a>> <dfn class="dfn-paneled idl-code" data-dfn-type="typedef" data-export id="typedefdef-mlnamedgpuresources"><code><c- g>MLNamedGPUResources</c-></code></dfn>;
+
+[<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#SecureContext" id="ref-for-SecureContext③"><c- g>SecureContext</c-></a>, <a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#Exposed" id="ref-for-Exposed④"><c- g>Exposed</c-></a>=(<c- n>Window</c->, <c- n>DedicatedWorker</c->)]
+<c- b>interface</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="interface" data-export id="mlcommandencoder"><code><c- g>MLCommandEncoder</c-></code></dfn> {};
 </pre>
    <div class="internal-slots">
-     <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①③">MLOperand</a></code> has the following internal slots: 
+     <code class="idl"><a data-link-type="idl" href="#mlcommandencoder" id="ref-for-mlcommandencoder④">MLCommandEncoder</a></code> has the following internal slots: 
     <dl>
-     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOperand" data-dfn-type="attribute" data-export id="dom-mloperand-builder-slot"><code>[[builder]]</code></dfn> of type <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑧">MLGraphBuilder</a></code>
+     <dt data-md><dfn class="idl-code" data-dfn-for="MLCommandEncoder" data-dfn-type="attribute" data-export id="dom-mlcommandencoder-context-slot"><code>[[context]]</code><a class="self-link" href="#dom-mlcommandencoder-context-slot"></a></dfn> of type <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext①⑦">MLContext</a></code>
      <dd data-md>
-      <p>The <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①④">MLOperand</a></code>'s associated builder object.</p>
-     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOperand" data-dfn-type="attribute" data-export id="dom-mloperand-descriptor-slot"><code>[[descriptor]]</code></dfn> of type <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor⑤">MLOperandDescriptor</a></code>
-     <dd data-md>
-      <p>The <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑤">MLOperand</a></code>'s descriptor.</p>
-     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOperand" data-dfn-type="attribute" data-export id="dom-mloperand-name-slot"><code>[[name]]</code></dfn> of type <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string">string</a>
-     <dd data-md>
-      <p>The <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑥">MLOperand</a></code>'s name (only for input operands).</p>
-     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOperand" data-dfn-type="attribute" data-export id="dom-mloperand-operand-slot"><code>[[operand]]</code></dfn> of type <a data-link-type="dfn" href="https://w3c.github.io/FileAPI/#blob-url-entry-object" id="ref-for-blob-url-entry-object">object</a>
-     <dd data-md>
-      <p>Reference to <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑦">MLOperand</a></code>'s corresponding <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined">implementation-defined</a> platform operand object.</p>
-     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOperand" data-dfn-type="attribute" data-export id="dom-mloperand-operator-slot"><code>[[operator]]</code></dfn> of type <a data-link-type="dfn" href="https://w3c.github.io/FileAPI/#blob-url-entry-object" id="ref-for-blob-url-entry-object①">object</a>
+      <p>The context of type <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext①⑧">MLContext</a></code> associated with this <code class="idl"><a data-link-type="idl" href="#mlcommandencoder" id="ref-for-mlcommandencoder⑤">MLCommandEncoder</a></code>.</p>
+     <dt data-md><dfn class="idl-code" data-dfn-for="MLCommandEncoder" data-dfn-type="attribute" data-export id="dom-mlcommandencoder-implementation-slot"><code>[[implementation]]</code><a class="self-link" href="#dom-mlcommandencoder-implementation-slot"></a></dfn>
      <dd data-md>
-      <p>Reference to <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑧">MLOperand</a></code>'s corresponding <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined①">implementation-defined</a> platform operator object.</p>
+      <p>The underlying implementation provided by the User Agent.</p>
     </dl>
    </div>
-   <div class="algorithm" data-algorithm="rank" data-algorithm-for="MLOperand">
-     To get the <dfn class="dfn-paneled" data-dfn-for="MLOperand" data-dfn-type="dfn" data-noexport id="mloperand-rank">rank</dfn> of an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑨">MLOperand</a></code> <var>operand</var>, run the following steps: 
-    <div class="algorithm-steps">
-     <ol>
-      <li data-md>
-       <p>Return the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size">size</a> of <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①">dimensions</a></code>.</p>
-     </ol>
-    </div>
+   <h4 class="heading settled" data-level="7.4.1" id="api-mlcommandencoder-graph-initialization"><span class="secno">7.4.1. </span><span class="content">Graph Initialization</span><a class="self-link" href="#api-mlcommandencoder-graph-initialization"></a></h4>
+    Record the initialization of the <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph⑦">MLGraph</a></code>. This is a necessary step for optimal performance during graph execution as it gives the platform an opportunity to prepare and optimize constant input data for the subsequent execution of the graph. This method should only be called once per graph. 
+<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlcommandencoder" id="ref-for-mlcommandencoder⑥"><c- g>MLCommandEncoder</c-></a> {
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-undefined" id="ref-for-idl-undefined"><c- b>undefined</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlcommandencoder-initializegraph" id="ref-for-dom-mlcommandencoder-initializegraph"><c- g>initializeGraph</c-></a>(<a data-link-type="idl-name" href="#mlgraph" id="ref-for-mlgraph⑧"><c- n>MLGraph</c-></a> <dfn class="idl-code" data-dfn-for="MLCommandEncoder/initializeGraph(graph)" data-dfn-type="argument" data-export id="dom-mlcommandencoder-initializegraph-graph-graph"><code><c- g>graph</c-></code><a class="self-link" href="#dom-mlcommandencoder-initializegraph-graph-graph"></a></dfn>);
+};
+</pre>
+   <div>
+     <strong>Arguments:</strong> 
+    <ul>
+     <li data-md>
+      <p><em>graph</em>: an <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph⑨">MLGraph</a></code>. The compiled graph to be initialized with graph constant inputs.</p>
+    </ul>
+    <p><strong>Returns:</strong> <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-undefined" id="ref-for-idl-undefined①">undefined</a></code>.</p>
    </div>
-   <p>Since the <code class="idl"><a data-link-type="idl" href="#dom-mloperand-builder-slot" id="ref-for-dom-mloperand-builder-slot">[[builder]]</a></code> object is bound by the <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-mlgraphbuilder" id="ref-for-dom-mlgraphbuilder-mlgraphbuilder">MLGraphBuilder()</a></code> constructor to an <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext①⑨">MLContext</a></code> object, an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⓪">MLOperand</a></code> is also always bound to the same <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext②⓪">MLContext</a></code> object.</p>
-   <h5 class="heading settled" data-level="7.3.2.1" id="api-mloperand-create"><span class="secno">7.3.2.1. </span><span class="content">Creating <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②①">MLOperand</a></code></span><a class="self-link" href="#api-mloperand-create"></a></h5>
-    The <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②②">MLOperand</a></code> objects are created by the methods of <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑨">MLGraphBuilder</a></code>, internally using the following algorithms. 
-   <details class="algorithm" data-algorithm="create an MLOperand" open>
-    <summary> To <dfn class="dfn-paneled" data-dfn-type="dfn" data-noexport id="create-an-mloperand">create an MLOperand</dfn> given <var>builder</var> and <var>desc</var>, run the following steps: </summary>
-    <div class="algorithm-steps">
-     <ol>
-      <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert">Assert</a>: the type of <var>builder</var> is <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder①⓪">MLGraphBuilder</a></code>.</p>
-      <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert①">Assert</a>: the type of <var>desc</var> is <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor⑥">MLOperandDescriptor</a></code>.</p>
-      <li data-md>
-       <p>Let <var>operand</var> be a new <a data-link-type="dfn" href="https://w3c.github.io/FileAPI/#blob-url-entry-object" id="ref-for-blob-url-entry-object②">object</a>.</p>
-      <li data-md>
-       <p>Set <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-builder-slot" id="ref-for-dom-mloperand-builder-slot①">[[builder]]</a></code> to <var>builder</var>.</p>
-      <li data-md>
-       <p>Set <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①">[[descriptor]]</a></code> to <var>desc</var>.</p>
-      <li data-md>
-       <p>Return <var>operand</var>.</p>
-     </ol>
-    </div>
-   </details>
-   <details class="algorithm" data-algorithm="copy an MLOperand" open>
-    <summary> To <dfn class="dfn-paneled" data-dfn-type="dfn" data-noexport id="copy-an-mloperand">copy an MLOperand</dfn> given <var>operand</var>, run the following steps: </summary>
-    <div class="algorithm-steps">
-     <ol>
-      <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert②">Assert</a>: the type of <var>operand</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②③">MLOperand</a></code>.</p>
-      <li data-md>
-       <p>Let <var>result</var> be a new <a data-link-type="dfn" href="https://w3c.github.io/FileAPI/#blob-url-entry-object" id="ref-for-blob-url-entry-object③">object</a>.</p>
-      <li data-md>
-       <p>Set <var>result</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-builder-slot" id="ref-for-dom-mloperand-builder-slot②">[[builder]]</a></code> to <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-builder-slot" id="ref-for-dom-mloperand-builder-slot③">[[builder]]</a></code>.</p>
-      <li data-md>
-       <p>Set <var>result</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot②">[[descriptor]]</a></code> to <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot③">[[descriptor]]</a></code>.</p>
-      <li data-md>
-       <p>If <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-name-slot" id="ref-for-dom-mloperand-name-slot">[[name]]</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists②">exists</a>, then set <var>result</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-name-slot" id="ref-for-dom-mloperand-name-slot①">[[name]]</a></code> to <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-name-slot" id="ref-for-dom-mloperand-name-slot②">[[name]]</a></code>.</p>
-      <li data-md>
-       <p>Return <var>result</var>.</p>
-     </ol>
+   <details class="algorithm" data-algorithm="initializeGraph(graph)" data-algorithm-for="MLCommandEncoder" open>
+    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLCommandEncoder" data-dfn-type="method" data-export id="dom-mlcommandencoder-initializegraph"><code>initializeGraph(<var>graph</var>)</code></dfn> method steps are: </summary>
+    <div>
+     <div class="note" role="note"> Graph initialization stage typically involves a process known as "weight preprocessing" where all the constant inputs to the graph are preprocessed and cached at the operating system level for subsequent graph execution calls. The initializing inputs are typically the constant weight data specified through the <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-constant" id="ref-for-dom-mlgraphbuilder-constant">MLGraphBuilder/constant(value, type)</a></code> method as constant operands during graph construction time. </div>
     </div>
    </details>
-   <details class="algorithm" data-algorithm="check dimensions" open>
-    <summary> To <dfn class="dfn-paneled" data-dfn-type="dfn" data-noexport id="check-dimensions">check dimensions</dfn> given <var>dimensions</var> and <var>type</var>, run the following steps: </summary>
+   <h4 class="heading settled" data-level="7.4.2" id="api-mlcommandencoder-dispatch-commands"><span class="secno">7.4.2. </span><span class="content">Dispatch Execution Commands</span><a class="self-link" href="#api-mlcommandencoder-dispatch-commands"></a></h4>
+    Record the <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph①⓪">MLGraph</a></code> execution with the inputs <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedgpuresources" id="ref-for-typedefdef-mlnamedgpuresources">MLNamedGPUResources</a></code> and outputs <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedgpuresources" id="ref-for-typedefdef-mlnamedgpuresources①">MLNamedGPUResources</a></code>. 
+<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlcommandencoder" id="ref-for-mlcommandencoder⑦"><c- g>MLCommandEncoder</c-></a> {
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-undefined" id="ref-for-idl-undefined②"><c- b>undefined</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlcommandencoder-dispatch" id="ref-for-dom-mlcommandencoder-dispatch"><c- g>dispatch</c-></a>(<a data-link-type="idl-name" href="#mlgraph" id="ref-for-mlgraph①①"><c- n>MLGraph</c-></a> <dfn class="idl-code" data-dfn-for="MLCommandEncoder/dispatch(graph, inputs, outputs)" data-dfn-type="argument" data-export id="dom-mlcommandencoder-dispatch-graph-inputs-outputs-graph"><code><c- g>graph</c-></code><a class="self-link" href="#dom-mlcommandencoder-dispatch-graph-inputs-outputs-graph"></a></dfn>, <a data-link-type="idl-name" href="#typedefdef-mlnamedgpuresources" id="ref-for-typedefdef-mlnamedgpuresources②"><c- n>MLNamedGPUResources</c-></a> <dfn class="idl-code" data-dfn-for="MLCommandEncoder/dispatch(graph, inputs, outputs)" data-dfn-type="argument" data-export id="dom-mlcommandencoder-dispatch-graph-inputs-outputs-inputs"><code><c- g>inputs</c-></code><a class="self-link" href="#dom-mlcommandencoder-dispatch-graph-inputs-outputs-inputs"></a></dfn>, <a data-link-type="idl-name" href="#typedefdef-mlnamedgpuresources" id="ref-for-typedefdef-mlnamedgpuresources③"><c- n>MLNamedGPUResources</c-></a> <dfn class="idl-code" data-dfn-for="MLCommandEncoder/dispatch(graph, inputs, outputs)" data-dfn-type="argument" data-export id="dom-mlcommandencoder-dispatch-graph-inputs-outputs-outputs"><code><c- g>outputs</c-></code><a class="self-link" href="#dom-mlcommandencoder-dispatch-graph-inputs-outputs-outputs"></a></dfn>);
+};
+</pre>
+   <div>
+     <strong>Arguments:</strong> 
+    <ul>
+     <li data-md>
+      <p><em>graph</em>: an <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph①②">MLGraph</a></code>. The compiled graph to be executed.</p>
+     <li data-md>
+      <p><em>inputs</em>: an <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedgpuresources" id="ref-for-typedefdef-mlnamedgpuresources④">MLNamedGPUResources</a></code>. The resources of inputs.</p>
+     <li data-md>
+      <p><em>outputs</em>: an <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedgpuresources" id="ref-for-typedefdef-mlnamedgpuresources⑤">MLNamedGPUResources</a></code>. The pre-allocated resources of required outputs.</p>
+    </ul>
+    <p><strong>Returns:</strong> <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-undefined" id="ref-for-idl-undefined③">undefined</a></code>.</p>
+   </div>
+   <details class="algorithm" data-algorithm="dispatch(graph, inputs, outputs)" data-algorithm-for="MLCommandEncoder" open>
+    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLCommandEncoder" data-dfn-type="method" data-export id="dom-mlcommandencoder-dispatch"><code>dispatch(<var>graph</var>, <var>inputs</var>, <var>outputs</var>)</code></dfn> method steps are: </summary>
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size①">size</a> of <var>dimensions</var> is 0, return false.</p>
-      <li data-md>
-       <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size②">size</a> of <var>dimensions</var> is too large to be supported by the implementation, return false.</p>
-      <li data-md>
-       <p>If any element of <var>dimensions</var> is not a positive number, or it is too large to be supported by the implementation given <var>type</var>, return false.</p>
-      <li data-md>
-       <p>Return true.</p>
-     </ol>
-    </div>
-   </details>
-   <details class="algorithm" data-algorithm="validate MLOperand" data-algorithm-for="MLOperand" open>
-    <summary> To <dfn class="dfn-paneled" data-dfn-for="MLOperand" data-dfn-type="dfn" data-noexport id="mloperand-validate-mloperand">validate MLOperand</dfn> given <var>operand</var> and <var>builder</var>, run the following steps: </summary>
-    <div class="algorithm-steps">
-     <ol>
+       <p>If any of the following requirements are unmet, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑥">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⓪">DOMException</a></code>.</p>
+       <div class="validusage">
+        <ol>
+         <li data-md>
+          <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate">For each</a> <var>key</var> → <var>value</var> of <var>inputs</var>:</p>
+          <ol>
+           <li data-md>
+            <p><var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-inputdescriptors-slot" id="ref-for-dom-mlgraph-inputdescriptors-slot">[[inputDescriptors]]</a></code>[<var>key</var>] must <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists②">exist</a>.</p>
+           <li data-md>
+            <p>Let <var>inputDesc</var> be <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-inputdescriptors-slot" id="ref-for-dom-mlgraph-inputdescriptors-slot①">[[inputDescriptors]]</a></code>[<var>key</var>].</p>
+           <li data-md>
+            <p>If <var>value</var> is a <code class="idl"><a data-link-type="idl" href="https://gpuweb.github.io/gpuweb/#gpubuffer" id="ref-for-gpubuffer②">GPUBuffer</a></code>, then:</p>
+            <ol>
+             <li data-md>
+              <p><var>value</var>.<code class="idl"><a data-link-type="idl" href="https://gpuweb.github.io/gpuweb/#dom-gpubuffer-size" id="ref-for-dom-gpubuffer-size">size</a></code> must equal to <a data-link-type="dfn" href="#mloperanddescriptor-byte-length" id="ref-for-mloperanddescriptor-byte-length">byte length</a> of <var>inputDesc</var>.</p>
+            </ol>
+          </ol>
+         <li data-md>
+          <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate①">For each</a> <var>key</var> → <var>value</var> of <var>outputs</var>:</p>
+          <ol>
+           <li data-md>
+            <p><var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-outputdescriptors-slot" id="ref-for-dom-mlgraph-outputdescriptors-slot">[[outputDescriptors]]</a></code>[<var>key</var>] must <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists③">exist</a>.</p>
+           <li data-md>
+            <p>Let <var>outputDesc</var> be <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-outputdescriptors-slot" id="ref-for-dom-mlgraph-outputdescriptors-slot①">[[outputDescriptors]]</a></code>[<var>key</var>].</p>
+           <li data-md>
+            <p>If <var>value</var> is a <code class="idl"><a data-link-type="idl" href="https://gpuweb.github.io/gpuweb/#gpubuffer" id="ref-for-gpubuffer③">GPUBuffer</a></code>, then:</p>
+            <ol>
+             <li data-md>
+              <p><var>value</var>.<code class="idl"><a data-link-type="idl" href="https://gpuweb.github.io/gpuweb/#dom-gpubuffer-size" id="ref-for-dom-gpubuffer-size①">size</a></code> must equal to <a data-link-type="dfn" href="#mloperanddescriptor-byte-length" id="ref-for-mloperanddescriptor-byte-length①">byte length</a> of <var>outputDesc</var>.</p>
+            </ol>
+          </ol>
+        </ol>
+       </div>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert③">Assert</a>: the type of <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-builder-slot" id="ref-for-dom-mloperand-builder-slot④">[[builder]]</a></code> is <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder①①">MLGraphBuilder</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate②">For each</a> <var>key</var> → <var>value</var> of <var>inputs</var>:</p>
+       <ol>
+        <li data-md>
+         <p>Set the input of <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-implementation-slot" id="ref-for-dom-mlgraph-implementation-slot">[[implementation]]</a></code> that is associated with <var>key</var> to <var>value</var>.</p>
+       </ol>
       <li data-md>
-       <p>If <var>builder</var> is not equal to <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-builder-slot" id="ref-for-dom-mloperand-builder-slot⑤">[[builder]]</a></code>, return false.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate③">For each</a> <var>key</var> → <var>value</var> of <var>outputs</var>:</p>
+       <ol>
+        <li data-md>
+         <p>Set the output of <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-implementation-slot" id="ref-for-dom-mlgraph-implementation-slot①">[[implementation]]</a></code> that is associated with <var>key</var> to <var>value</var>.</p>
+       </ol>
       <li data-md>
-       <p>Let <var>desc</var> be <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot④">[[descriptor]]</a></code>.</p>
+       <p>Issue a compute request of <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-implementation-slot" id="ref-for-dom-mlgraph-implementation-slot②">[[implementation]]</a></code>.</p>
       <li data-md>
-       <p>If <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②">dimensions</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists③">exists</a> and invoking <a data-link-type="dfn" href="#check-dimensions" id="ref-for-check-dimensions">check dimensions</a> given <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③">dimensions</a></code> and <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①">dataType</a></code> returns false, then return false.</p>
+       <p>If there is an error returned by <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-implementation-slot" id="ref-for-dom-mlgraph-implementation-slot③">[[implementation]]</a></code>, then:</p>
+       <ol>
+        <li data-md>
+         <p>Throw an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror②">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①①">DOMException</a></code>.</p>
+       </ol>
       <li data-md>
-       <p>Return true.</p>
+       <p>Return <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-undefined" id="ref-for-idl-undefined④">undefined</a></code>.</p>
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.3.3" id="api-mlactivation"><span class="secno">7.3.3. </span><span class="content">The MLActivation interface</span><a class="self-link" href="#api-mlactivation"></a></h4>
-   <p>Objects implementing the <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation">MLActivation</a></code> interface represent activation function types.</p>
-<pre class="idl highlight def">[<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#SecureContext" id="ref-for-SecureContext④"><c- g>SecureContext</c-></a>, <a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#Exposed" id="ref-for-Exposed⑤"><c- g>Exposed</c-></a>=(<c- n>Window</c->, <c- n>DedicatedWorker</c->)]
-<c- b>interface</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="interface" data-export id="mlactivation"><code><c- g>MLActivation</c-></code></dfn> {
+   <h4 class="heading settled" data-level="7.4.3" id="api-mlcommandencoder-generate-gpu-command-buffer"><span class="secno">7.4.3. </span><span class="content">Generate GPU Command Buffer</span><a class="self-link" href="#api-mlcommandencoder-generate-gpu-command-buffer"></a></h4>
+    Complete the recording of ML workload and return a WebGPU-compatible <code class="idl"><a data-link-type="idl" href="https://gpuweb.github.io/gpuweb/#gpucommandbuffer" id="ref-for-gpucommandbuffer③">GPUCommandBuffer</a></code> containing the recorded workload. 
+<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlcommandencoder" id="ref-for-mlcommandencoder⑧"><c- g>MLCommandEncoder</c-></a> {
+  <a data-link-type="idl-name" href="https://gpuweb.github.io/gpuweb/#gpucommandbuffer" id="ref-for-gpucommandbuffer④"><c- n>GPUCommandBuffer</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlcommandencoder-finish" id="ref-for-dom-mlcommandencoder-finish"><c- g>finish</c-></a>(<c- b>optional</c-> <a data-link-type="idl-name" href="https://gpuweb.github.io/gpuweb/#dictdef-gpucommandbufferdescriptor" id="ref-for-dictdef-gpucommandbufferdescriptor"><c- n>GPUCommandBufferDescriptor</c-></a> <dfn class="idl-code" data-dfn-for="MLCommandEncoder/finish(descriptor), MLCommandEncoder/finish()" data-dfn-type="argument" data-export id="dom-mlcommandencoder-finish-descriptor-descriptor"><code><c- g>descriptor</c-></code><a class="self-link" href="#dom-mlcommandencoder-finish-descriptor-descriptor"></a></dfn> = {});
 };
 </pre>
-   <div class="internal-slots">
-     <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation①">MLActivation</a></code> has the following internal slots: 
-    <dl>
-     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLActivation" data-dfn-type="attribute" data-export id="dom-mlactivation-name-slot"><code>[[name]]</code></dfn> of type <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string①">string</a>
-     <dd data-md>
-      <p>The <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation②">MLActivation</a></code>'s name.</p>
-     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLActivation" data-dfn-type="attribute" data-export id="dom-mlactivation-builder-slot"><code>[[builder]]</code></dfn> of type <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder①②">MLGraphBuilder</a></code>
-     <dd data-md>
-      <p>The graph builder object this <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation③">MLActivation</a></code> belongs to.</p>
-     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLActivation" data-dfn-type="attribute" data-export id="dom-mlactivation-options-slot"><code>[[options]]</code></dfn> of type <a data-link-type="dfn" href="https://w3c.github.io/FileAPI/#blob-url-entry-object" id="ref-for-blob-url-entry-object④">object</a>
-     <dd data-md>
-      <p>A dictionary containing <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation④">MLActivation</a></code> options.</p>
-     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLActivation" data-dfn-type="attribute" data-export id="dom-mlactivation-operator-slot"><code>[[operator]]</code></dfn> of type <a data-link-type="dfn" href="https://w3c.github.io/FileAPI/#blob-url-entry-object" id="ref-for-blob-url-entry-object⑤">object</a>
-     <dd data-md>
-      <p>Reference to <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation⑤">MLActivation</a></code>'s corresponding <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined②">implementation-defined</a> platform operator object.</p>
-    </dl>
+   <div>
+     <strong>Arguments:</strong> 
+    <ul>
+     <li data-md>
+      <p><em>descriptor</em>: an optional <code class="idl"><a data-link-type="idl" href="https://gpuweb.github.io/gpuweb/#dictdef-gpucommandbufferdescriptor" id="ref-for-dictdef-gpucommandbufferdescriptor①">GPUCommandBufferDescriptor</a></code>. Descriptor of the command buffer.</p>
+    </ul>
+    <p><strong>Returns:</strong> <code class="idl"><a data-link-type="idl" href="https://gpuweb.github.io/gpuweb/#gpucommandbuffer" id="ref-for-gpucommandbuffer⑤">GPUCommandBuffer</a></code>.</p>
    </div>
-   <div class="note" role="note"> These activations function types are used to create other operations. One such use of this interface is for when an activation function is fused into another operation such as <a href="#api-mlgraphbuilder-conv2d">§ 7.6.8 The conv2d() method</a> or <a href="#api-mlgraphbuilder-batchnorm">§ 7.6.5 The batchNormalization() method</a> during a graph construction session. Such fused activation functions can provide a significant performance improvement when supported natively by the underlying implementation. This is intended as an optimization opportunity for implementers. </div>
-   <h5 class="heading settled" data-level="7.3.3.1" id="api-mlactivation-create"><span class="secno">7.3.3.1. </span><span class="content">Creating <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation⑥">MLActivation</a></code></span><a class="self-link" href="#api-mlactivation-create"></a></h5>
-   <div class="note" role="note"> The <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation⑦">MLActivation</a></code> objects (including the ones passed as input to methods) are created by the methods of <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder①③">MLGraphBuilder</a></code> and are identified by their name. The <var>options</var> dictionary is defined by those methods. The actual creation of the activation function e.g. a <a href="#api-mlgraphbuilder-sigmoid-method">§ 7.6.31 The sigmoid() method</a> or <a href="#api-mlgraphbuilder-relu-method">§ 7.6.28 The relu() method</a> can then be deferred until when the rest of the graph is ready to connect with it such as during the construction of <a href="#api-mlgraphbuilder-conv2d">§ 7.6.8 The conv2d() method</a> for example. </div>
-   <details class="algorithm" data-algorithm="create an MLActivation" open>
-    <summary> To <dfn class="dfn-paneled" data-dfn-type="dfn" data-noexport id="create-an-mlactivation">create an MLActivation</dfn> given <var>builder</var>, <var>name</var>, <var>options</var> and <var>init-steps</var>, run the following steps: </summary>
+   <details class="algorithm" data-algorithm="finish(descriptor)" data-algorithm-for="MLCommandEncoder" open>
+    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLCommandEncoder" data-dfn-type="method" data-export data-lt="finish(descriptor)|finish()" id="dom-mlcommandencoder-finish"><code>finish(<var>descriptor</var>)</code></dfn> method steps are: </summary>
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert④">Assert</a>: the type of <var>builder</var> is <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder①④">MLGraphBuilder</a></code>.</p>
-      <li data-md>
-       <p>If <var>name</var> is empty, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw④">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror">TypeError</a></code>".</p>
-      <li data-md>
-       <p>Let <var>activation</var> be a new <a data-link-type="dfn" href="https://w3c.github.io/FileAPI/#blob-url-entry-object" id="ref-for-blob-url-entry-object⑥">object</a>.</p>
-      <li data-md>
-       <p>Set <var>activation</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlactivation-builder-slot" id="ref-for-dom-mlactivation-builder-slot">[[builder]]</a></code> to <var>builder</var>.</p>
-      <li data-md>
-       <p>Set <var>activation</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlactivation-name-slot" id="ref-for-dom-mlactivation-name-slot">[[name]]</a></code> to <var>name</var>.</p>
-      <li data-md>
-       <p>If <var>options</var> is an <a data-link-type="dfn" href="https://w3c.github.io/FileAPI/#blob-url-entry-object" id="ref-for-blob-url-entry-object⑦">object</a>, set <var>activation</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlactivation-options-slot" id="ref-for-dom-mlactivation-options-slot">[[options]]</a></code> to <var>options</var>.</p>
-      <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑤">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror①">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑨">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑦">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror③">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①②">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Make a request to the underlying platform to:</p>
-         <ol>
-          <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined③">implementation-defined</a> platform operator <var>opImpl</var> for the given <var>name</var> operation.</p>
-          <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>activation</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlactivation-operator-slot" id="ref-for-dom-mlactivation-operator-slot">[[operator]]</a></code>.</p>
-         </ol>
-        <li data-md>
-         <p>If <var>init-steps</var> are defined, run <var>init-steps</var> with <var>options</var>.</p>
-         <ol>
-          <li data-md>
-           <p>Otherwise, initialize <var>activation</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlactivation-operator-slot" id="ref-for-dom-mlactivation-operator-slot①">[[operator]]</a></code> given <var>options</var> in an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined④">implementation-defined</a> way for the given <var>name</var> operation.</p>
-         </ol>
+         <p>Make a request to the underlying platform to complete the recording of the ML workload, given <var>descriptor</var>.</p>
+         <div class="note" role="note"> See the related <a href="https://www.w3.org/TR/webgpu/#dom-gpucommandencoder-finish">WebGPU steps</a>. </div>
        </ol>
       <li data-md>
-       <p>Return <var>activation</var>.</p>
+       <p>Return a <code class="idl"><a data-link-type="idl" href="https://gpuweb.github.io/gpuweb/#gpucommandbuffer" id="ref-for-gpucommandbuffer⑥">GPUCommandBuffer</a></code> containing the recorded workload.</p>
      </ol>
     </div>
    </details>
-   <h3 class="heading settled" data-level="7.4" id="api-mlcontext"><span class="secno">7.4. </span><span class="content">The MLContext interface</span><a class="self-link" href="#api-mlcontext"></a></h3>
-    The <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext②①">MLContext</a></code> interface represents a global state of neural network compute workload and execution processes. Each <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext②②">MLContext</a></code> object has associated <a data-link-type="dfn" href="#context-type" id="ref-for-context-type">context type</a>, <a data-link-type="dfn" href="#device-type" id="ref-for-device-type③">device type</a> and <a data-link-type="dfn" href="#power-preference" id="ref-for-power-preference②">power preference</a>. 
+   <h3 class="heading settled" data-level="7.5" id="api-mlcontext"><span class="secno">7.5. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext①⑨">MLContext</a></code> interface</span><a class="self-link" href="#api-mlcontext"></a></h3>
+    The <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext②⓪">MLContext</a></code> interface represents a global state of neural network compute workload and execution processes. Each <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext②①">MLContext</a></code> object has associated <a data-link-type="dfn" href="#context-type" id="ref-for-context-type">context type</a>, <a data-link-type="dfn" href="#device-type" id="ref-for-device-type③">device type</a> and <a data-link-type="dfn" href="#power-preference" id="ref-for-power-preference②">power preference</a>. 
    <p>The <dfn class="dfn-paneled" data-dfn-type="dfn" data-noexport id="context-type">context type</dfn> is the type of the execution context that manages the resources and facilitates the compilation and execution of the neural network graph:</p>
    <dl>
     <dt>"<code><dfn class="dfn-paneled" data-dfn-type="dfn" data-lt="default-context" data-noexport id="default-context">default</dfn></code>"
@@ -1964,27 +1956,27 @@ <h3 class="heading settled" data-level="7.4" id="api-mlcontext"><span class="sec
     <dt>"<code><dfn class="dfn-paneled" data-dfn-type="dfn" data-lt="power-preference-low-power" data-noexport id="power-preference-low-power">low-power</dfn></code>"
     <dd>Prioritizes power consumption over other considerations such as execution speed.
    </dl>
-<pre class="idl highlight def"><c- b>typedef</c-> <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-record" id="ref-for-idl-record②"><c- b>record</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-DOMString" id="ref-for-idl-DOMString②"><c- b>DOMString</c-></a>, <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView③"><c- n>ArrayBufferView</c-></a>> <dfn class="dfn-paneled idl-code" data-dfn-type="typedef" data-export id="typedefdef-mlnamedarraybufferviews"><code><c- g>MLNamedArrayBufferViews</c-></code></dfn>;
+<pre class="idl highlight def"><c- b>typedef</c-> <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-record" id="ref-for-idl-record①"><c- b>record</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-DOMString" id="ref-for-idl-DOMString①"><c- b>DOMString</c-></a>, <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView②"><c- n>ArrayBufferView</c-></a>> <dfn class="dfn-paneled idl-code" data-dfn-type="typedef" data-export id="typedefdef-mlnamedarraybufferviews"><code><c- g>MLNamedArrayBufferViews</c-></code></dfn>;
 
-[<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#SecureContext" id="ref-for-SecureContext⑤"><c- g>SecureContext</c-></a>, <a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#Exposed" id="ref-for-Exposed⑥"><c- g>Exposed</c-></a>=(<c- n>Window</c->, <c- n>DedicatedWorker</c->)]
+[<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#SecureContext" id="ref-for-SecureContext④"><c- g>SecureContext</c-></a>, <a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#Exposed" id="ref-for-Exposed⑤"><c- g>Exposed</c-></a>=(<c- n>Window</c->, <c- n>DedicatedWorker</c->)]
 <c- b>interface</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="interface" data-export id="mlcontext"><code><c- g>MLContext</c-></code></dfn> {};
 </pre>
    <div class="internal-slots">
-     <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext②③">MLContext</a></code> has the following internal slots: 
+     <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext②②">MLContext</a></code> has the following internal slots: 
     <dl>
      <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLContext" data-dfn-type="attribute" data-export id="dom-mlcontext-contexttype-slot"><code>[[contextType]]</code></dfn> of type <a data-link-type="dfn" href="#context-type" id="ref-for-context-type①">context type</a>
      <dd data-md>
-      <p>The <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext②④">MLContext</a></code>'s <a data-link-type="dfn" href="#context-type" id="ref-for-context-type②">context type</a>.</p>
+      <p>The <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext②③">MLContext</a></code>'s <a data-link-type="dfn" href="#context-type" id="ref-for-context-type②">context type</a>.</p>
      <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLContext" data-dfn-type="attribute" data-export id="dom-mlcontext-devicetype-slot"><code>[[deviceType]]</code></dfn> of type <a data-link-type="dfn" href="#device-type" id="ref-for-device-type④">device type</a>
      <dd data-md>
-      <p>The <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext②⑤">MLContext</a></code>'s <a data-link-type="dfn" href="#device-type" id="ref-for-device-type⑤">device type</a>.</p>
+      <p>The <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext②④">MLContext</a></code>'s <a data-link-type="dfn" href="#device-type" id="ref-for-device-type⑤">device type</a>.</p>
      <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLContext" data-dfn-type="attribute" data-export id="dom-mlcontext-powerpreference-slot"><code>[[powerPreference]]</code></dfn> of type <a data-link-type="dfn" href="#power-preference" id="ref-for-power-preference③">power preference</a>
      <dd data-md>
-      <p>The <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext②⑥">MLContext</a></code>'s <a data-link-type="dfn" href="#power-preference" id="ref-for-power-preference④">power preference</a>.</p>
+      <p>The <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext②⑤">MLContext</a></code>'s <a data-link-type="dfn" href="#power-preference" id="ref-for-power-preference④">power preference</a>.</p>
     </dl>
    </div>
-   <div class="note" role="note"> When the <code class="idl"><a data-link-type="idl" href="#dom-mlcontext-contexttype-slot" id="ref-for-dom-mlcontext-contexttype-slot②">[[contextType]]</a></code> is set to <a data-link-type="dfn" href="#default-context" id="ref-for-default-context①">default</a> with the <code class="idl"><a data-link-type="idl" href="#dictdef-mlcontextoptions" id="ref-for-dictdef-mlcontextoptions④">MLContextOptions</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mlcontextoptions-devicetype" id="ref-for-dom-mlcontextoptions-devicetype②">deviceType</a></code> set to <a data-link-type="dfn" href="#device-type-gpu" id="ref-for-device-type-gpu①">gpu</a>, the user agent is responsible for creating an internal GPU device that operates within the context and is capable of ML workload submission on behalf of the calling application. In this setting however, only <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView④">ArrayBufferView</a></code> inputs and outputs are allowed in and out of the graph execution since the application has no way to know what type of internal GPU device is being created on their behalf. In this case, the user agent is responsible for automatic uploads and downloads of the inputs and outputs to and from the GPU memory using this said internal device. </div>
-   <h4 class="heading settled" data-level="7.4.1" id="api-mlcontext-validate"><span class="secno">7.4.1. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext②⑦">MLContext</a></code> validation algorithm</span><a class="self-link" href="#api-mlcontext-validate"></a></h4>
+   <div class="note" role="note"> When the <code class="idl"><a data-link-type="idl" href="#dom-mlcontext-contexttype-slot" id="ref-for-dom-mlcontext-contexttype-slot②">[[contextType]]</a></code> is set to <a data-link-type="dfn" href="#default-context" id="ref-for-default-context①">default</a> with the <code class="idl"><a data-link-type="idl" href="#dictdef-mlcontextoptions" id="ref-for-dictdef-mlcontextoptions④">MLContextOptions</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mlcontextoptions-devicetype" id="ref-for-dom-mlcontextoptions-devicetype②">deviceType</a></code> set to <a data-link-type="dfn" href="#device-type-gpu" id="ref-for-device-type-gpu①">gpu</a>, the user agent is responsible for creating an internal GPU device that operates within the context and is capable of ML workload submission on behalf of the calling application. In this setting however, only <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView③">ArrayBufferView</a></code> inputs and outputs are allowed in and out of the graph execution since the application has no way to know what type of internal GPU device is being created on their behalf. In this case, the user agent is responsible for automatic uploads and downloads of the inputs and outputs to and from the GPU memory using this said internal device. </div>
+   <h4 class="heading settled" data-level="7.5.1" id="api-mlcontext-validate"><span class="secno">7.5.1. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext②⑥">MLContext</a></code> validation algorithm</span><a class="self-link" href="#api-mlcontext-validate"></a></h4>
    <details class="algorithm" data-algorithm="validate MLContext" open>
     <summary> To <dfn class="dfn-paneled" data-dfn-type="dfn" data-noexport id="validate-mlcontext">validate MLContext</dfn>, given <var>context</var>, run these steps: </summary>
     <div class="algorithm-steps">
@@ -2002,42 +1994,42 @@ <h4 class="heading settled" data-level="7.4.1" id="api-mlcontext-validate"><span
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.4.2" id="api-mlcontext-sync-execution"><span class="secno">7.4.2. </span><span class="content">Synchronous Execution</span><a class="self-link" href="#api-mlcontext-sync-execution"></a></h4>
-    Synchronously carries out the computational workload of a compiled graph <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph①①">MLGraph</a></code> on the calling thread, which must be a worker thread, to produce results as defined by the operations in the graph. This method of execution requires an <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext②⑧">MLContext</a></code> created with <code class="idl"><a data-link-type="idl" href="#dictdef-mlcontextoptions" id="ref-for-dictdef-mlcontextoptions⑤">MLContextOptions</a></code>. Otherwise, it<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑥">throws</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror②">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⓪">DOMException</a></code>. 
-<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlcontext" id="ref-for-mlcontext②⑨"><c- g>MLContext</c-></a> {
-  [<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#Exposed" id="ref-for-Exposed⑦"><c- g>Exposed</c-></a>=(<c- n>DedicatedWorker</c->)]
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-undefined" id="ref-for-idl-undefined"><c- b>undefined</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlcontext-computesync" id="ref-for-dom-mlcontext-computesync②"><c- g>computeSync</c-></a>(
-      <a data-link-type="idl-name" href="#mlgraph" id="ref-for-mlgraph①②"><c- n>MLGraph</c-></a> <dfn class="idl-code" data-dfn-for="MLContext/computeSync(graph, inputs, outputs)" data-dfn-type="argument" data-export id="dom-mlcontext-computesync-graph-inputs-outputs-graph"><code><c- g>graph</c-></code><a class="self-link" href="#dom-mlcontext-computesync-graph-inputs-outputs-graph"></a></dfn>, <a data-link-type="idl-name" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews②"><c- n>MLNamedArrayBufferViews</c-></a> <dfn class="idl-code" data-dfn-for="MLContext/computeSync(graph, inputs, outputs)" data-dfn-type="argument" data-export id="dom-mlcontext-computesync-graph-inputs-outputs-inputs"><code><c- g>inputs</c-></code><a class="self-link" href="#dom-mlcontext-computesync-graph-inputs-outputs-inputs"></a></dfn>, <a data-link-type="idl-name" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews③"><c- n>MLNamedArrayBufferViews</c-></a> <dfn class="idl-code" data-dfn-for="MLContext/computeSync(graph, inputs, outputs)" data-dfn-type="argument" data-export id="dom-mlcontext-computesync-graph-inputs-outputs-outputs"><code><c- g>outputs</c-></code><a class="self-link" href="#dom-mlcontext-computesync-graph-inputs-outputs-outputs"></a></dfn>);
+   <h4 class="heading settled" data-level="7.5.2" id="api-mlcontext-sync-execution"><span class="secno">7.5.2. </span><span class="content">Synchronous Execution</span><a class="self-link" href="#api-mlcontext-sync-execution"></a></h4>
+    Synchronously carries out the computational workload of a compiled graph <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph①③">MLGraph</a></code> on the calling thread, which must be a worker thread, to produce results as defined by the operations in the graph. This method of execution requires an <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext②⑦">MLContext</a></code> created with <code class="idl"><a data-link-type="idl" href="#dictdef-mlcontextoptions" id="ref-for-dictdef-mlcontextoptions⑤">MLContextOptions</a></code>. Otherwise, it<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑧">throws</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror④">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①③">DOMException</a></code>. 
+<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlcontext" id="ref-for-mlcontext②⑧"><c- g>MLContext</c-></a> {
+  [<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#Exposed" id="ref-for-Exposed⑥"><c- g>Exposed</c-></a>=(<c- n>DedicatedWorker</c->)]
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-undefined" id="ref-for-idl-undefined⑤"><c- b>undefined</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlcontext-computesync" id="ref-for-dom-mlcontext-computesync②"><c- g>computeSync</c-></a>(
+      <a data-link-type="idl-name" href="#mlgraph" id="ref-for-mlgraph①④"><c- n>MLGraph</c-></a> <dfn class="idl-code" data-dfn-for="MLContext/computeSync(graph, inputs, outputs)" data-dfn-type="argument" data-export id="dom-mlcontext-computesync-graph-inputs-outputs-graph"><code><c- g>graph</c-></code><a class="self-link" href="#dom-mlcontext-computesync-graph-inputs-outputs-graph"></a></dfn>, <a data-link-type="idl-name" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews②"><c- n>MLNamedArrayBufferViews</c-></a> <dfn class="idl-code" data-dfn-for="MLContext/computeSync(graph, inputs, outputs)" data-dfn-type="argument" data-export id="dom-mlcontext-computesync-graph-inputs-outputs-inputs"><code><c- g>inputs</c-></code><a class="self-link" href="#dom-mlcontext-computesync-graph-inputs-outputs-inputs"></a></dfn>, <a data-link-type="idl-name" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews③"><c- n>MLNamedArrayBufferViews</c-></a> <dfn class="idl-code" data-dfn-for="MLContext/computeSync(graph, inputs, outputs)" data-dfn-type="argument" data-export id="dom-mlcontext-computesync-graph-inputs-outputs-outputs"><code><c- g>outputs</c-></code><a class="self-link" href="#dom-mlcontext-computesync-graph-inputs-outputs-outputs"></a></dfn>);
 };
 </pre>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>graph</em>: an <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph①③">MLGraph</a></code>. The compiled graph to be executed.</p>
+      <p><em>graph</em>: an <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph①⑤">MLGraph</a></code>. The compiled graph to be executed.</p>
      <li data-md>
       <p><em>inputs</em>: an <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews④">MLNamedArrayBufferViews</a></code>. The resources of inputs.</p>
      <li data-md>
       <p><em>outputs</em>: an <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews⑤">MLNamedArrayBufferViews</a></code>. The pre-allocated resources of required outputs.</p>
     </ul>
-    <p><strong>Returns:</strong> <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-undefined" id="ref-for-idl-undefined①">undefined</a></code>.</p>
+    <p><strong>Returns:</strong> <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-undefined" id="ref-for-idl-undefined⑥">undefined</a></code>.</p>
    </div>
    <details class="algorithm" data-algorithm="computeSync(graph, inputs, outputs)" data-algorithm-for="MLContext" open>
     <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLContext" data-dfn-type="method" data-export id="dom-mlcontext-computesync"><code>computeSync(<var>graph</var>, <var>inputs</var>, <var>outputs</var>)</code></dfn> method steps are: </summary>
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p>If <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-context-slot" id="ref-for-dom-mlgraph-context-slot">[[context]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mlcontext-contexttype-slot" id="ref-for-dom-mlcontext-contexttype-slot⑤">[[contextType]]</a></code> is not "<a data-link-type="dfn" href="#default-context" id="ref-for-default-context③">default</a>", <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑦">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror③">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①①">DOMException</a></code>.</p>
+       <p>If <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-context-slot" id="ref-for-dom-mlgraph-context-slot">[[context]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mlcontext-contexttype-slot" id="ref-for-dom-mlcontext-contexttype-slot⑤">[[contextType]]</a></code> is not "<a data-link-type="dfn" href="#default-context" id="ref-for-default-context③">default</a>", <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑨">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror⑤">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①④">DOMException</a></code>.</p>
       <li data-md>
-       <p>If <a data-link-type="dfn" href="#validate-graph-resources" id="ref-for-validate-graph-resources">validating graph resources</a> given <var>inputs</var> and <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-inputdescriptors-slot" id="ref-for-dom-mlgraph-inputdescriptors-slot">[[inputDescriptors]]</a></code> returns false, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑧">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①②">DOMException</a></code>.</p>
+       <p>If <a data-link-type="dfn" href="#validate-graph-resources" id="ref-for-validate-graph-resources">validating graph resources</a> given <var>inputs</var> and <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-inputdescriptors-slot" id="ref-for-dom-mlgraph-inputdescriptors-slot②">[[inputDescriptors]]</a></code> returns false, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⓪">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror①">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑤">DOMException</a></code>.</p>
       <li data-md>
-       <p>If <a data-link-type="dfn" href="#validate-graph-resources" id="ref-for-validate-graph-resources①">validating graph resources</a> given <var>outputs</var> and <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-outputdescriptors-slot" id="ref-for-dom-mlgraph-outputdescriptors-slot">[[outputDescriptors]]</a></code> returns false, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑨">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror①">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①③">DOMException</a></code>.</p>
+       <p>If <a data-link-type="dfn" href="#validate-graph-resources" id="ref-for-validate-graph-resources①">validating graph resources</a> given <var>outputs</var> and <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-outputdescriptors-slot" id="ref-for-dom-mlgraph-outputdescriptors-slot②">[[outputDescriptors]]</a></code> returns false, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①①">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror②">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑥">DOMException</a></code>.</p>
       <li data-md>
        <p>Invoke <a data-link-type="dfn" href="#execute-graph" id="ref-for-execute-graph">execute graph</a> given <var>graph</var>, <var>inputs</var> and <var>outputs</var>.</p>
       <li data-md>
-       <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⓪">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①①">throw</a> the error.</p>
+       <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①②">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①③">throw</a> the error.</p>
       <li data-md>
-       <p>Return <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-undefined" id="ref-for-idl-undefined②">undefined</a></code>.</p>
+       <p>Return <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-undefined" id="ref-for-idl-undefined⑦">undefined</a></code>.</p>
      </ol>
     </div>
    </details>
@@ -2046,14 +2038,14 @@ <h4 class="heading settled" data-level="7.4.2" id="api-mlcontext-sync-execution"
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑤">Assert</a>: the type of <var>resources</var> is <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews⑥">MLNamedArrayBufferViews</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert①">Assert</a>: the type of <var>resources</var> is <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews⑥">MLNamedArrayBufferViews</a></code>.</p>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate①">For each</a> <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-record" id="ref-for-idl-record③">record</a> &lt;<var>key</var>, <var>value</var>> of <var>resources</var>:</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate④">For each</a> <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-record" id="ref-for-idl-record②">record</a> &lt;<var>key</var>, <var>value</var>> of <var>resources</var>:</p>
        <ol>
         <li data-md>
          <p>If <var>descriptors</var>[<var>key</var>] does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists④">exist</a>, return false.</p>
         <li data-md>
-         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑥">Assert</a>: the type of <var>value</var> is <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView⑤">ArrayBufferView</a></code>.</p>
+         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert②">Assert</a>: the type of <var>value</var> is <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView④">ArrayBufferView</a></code>.</p>
         <li data-md>
          <p>If <a data-link-type="dfn" href="#validate-buffer-with-descriptor" id="ref-for-validate-buffer-with-descriptor">validating buffer with descriptor</a> given <var>value</var> and <var>descriptors</var>[<var>key</var>] returns false, then return false.</p>
        </ol>
@@ -2069,9 +2061,9 @@ <h4 class="heading settled" data-level="7.4.2" id="api-mlcontext-sync-execution"
       <li data-md>
        <p>If <var>bufferView</var> is not an <code class="idl"><a data-link-type="idl" href="#typedefdef-mlbufferview" id="ref-for-typedefdef-mlbufferview">MLBufferView</a></code>, return false.</p>
       <li data-md>
-       <p>If <var>bufferView</var>’s <a data-link-type="dfn" href="https://tc39.es/ecma262/#table-the-typedarray-constructors" id="ref-for-table-the-typedarray-constructors①">element type</a> does not match to <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②">dataType</a></code> according to <a href="#appendices-mloperanddatatype-arraybufferview-compatibility">this table</a>, return false.</p>
+       <p>If <var>bufferView</var>’s <a data-link-type="dfn" href="https://tc39.es/ecma262/#table-the-typedarray-constructors" id="ref-for-table-the-typedarray-constructors">element type</a> does not match to <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype">dataType</a></code> according to <a href="#appendices-mloperanddatatype-arraybufferview-compatibility">this table</a>, return false.</p>
       <li data-md>
-       <p>If <var>bufferView</var>.[[ByteLength]] is not equal to the <a data-link-type="dfn" href="#mloperanddescriptor-byte-length" id="ref-for-mloperanddescriptor-byte-length">byte length</a> of <var>descriptor</var>, return false.</p>
+       <p>If <var>bufferView</var>.[[ByteLength]] is not equal to the <a data-link-type="dfn" href="#mloperanddescriptor-byte-length" id="ref-for-mloperanddescriptor-byte-length②">byte length</a> of <var>descriptor</var>, return false.</p>
      </ol>
     </div>
    </details>
@@ -2080,21 +2072,21 @@ <h4 class="heading settled" data-level="7.4.2" id="api-mlcontext-sync-execution"
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑦">Assert</a>: the type of <var>inputs</var> is <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews⑦">MLNamedArrayBufferViews</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert③">Assert</a>: the type of <var>inputs</var> is <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews⑦">MLNamedArrayBufferViews</a></code>.</p>
       <li data-md>
-       <p>Let <var>inputResources</var> denote the input resources of <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-implementation-slot" id="ref-for-dom-mlgraph-implementation-slot">[[implementation]]</a></code>.</p>
+       <p>Let <var>inputResources</var> denote the input resources of <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-implementation-slot" id="ref-for-dom-mlgraph-implementation-slot④">[[implementation]]</a></code>.</p>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate②">For each</a> &lt;<var>key</var>, <var>inputValue</var>> of <var>inputs</var>:</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate⑤">For each</a> &lt;<var>key</var>, <var>inputValue</var>> of <var>inputs</var>:</p>
        <ol>
         <li data-md>
-         <p>Let <var>inputDescriptor</var> be <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-inputdescriptors-slot" id="ref-for-dom-mlgraph-inputdescriptors-slot①">[[inputDescriptors]]</a></code>[<var>key</var>].</p>
+         <p>Let <var>inputDescriptor</var> be <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-inputdescriptors-slot" id="ref-for-dom-mlgraph-inputdescriptors-slot③">[[inputDescriptors]]</a></code>[<var>key</var>].</p>
         <li data-md>
-         <p>Let <var>inputTensor</var> be a new tensor for <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-implementation-slot" id="ref-for-dom-mlgraph-implementation-slot①">[[implementation]]</a></code> as follows:</p>
+         <p>Let <var>inputTensor</var> be a new tensor for <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-implementation-slot" id="ref-for-dom-mlgraph-implementation-slot⑤">[[implementation]]</a></code> as follows:</p>
          <ol>
           <li data-md>
-           <p>Set the data type of <var>inputTensor</var> to the one that matches the <a data-link-type="dfn" href="https://tc39.es/ecma262/#table-the-typedarray-constructors" id="ref-for-table-the-typedarray-constructors②">element type</a> of <var>inputValue</var>.</p>
+           <p>Set the data type of <var>inputTensor</var> to the one that matches the <a data-link-type="dfn" href="https://tc39.es/ecma262/#table-the-typedarray-constructors" id="ref-for-table-the-typedarray-constructors①">element type</a> of <var>inputValue</var>.</p>
           <li data-md>
-           <p>Set the dimensions of <var>inputTensor</var> to <var>inputDescriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions④">dimensions</a></code>.</p>
+           <p>Set the dimensions of <var>inputTensor</var> to <var>inputDescriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions">dimensions</a></code>.</p>
           <li data-md>
            <p>Set the values of elements in <var>inputTensor</var> to the values of elements in <var>inputValue</var>.</p>
          </ol>
@@ -2102,33 +2094,33 @@ <h4 class="heading settled" data-level="7.4.2" id="api-mlcontext-sync-execution"
          <p>Request the underlying implementation of <var>graph</var> to bind <var>inputResources</var>[<var>key</var>] to <var>inputTensor</var>.</p>
        </ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑧">Assert</a>: the type of <var>outputs</var> is <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews⑧">MLNamedArrayBufferViews</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert④">Assert</a>: the type of <var>outputs</var> is <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews⑧">MLNamedArrayBufferViews</a></code>.</p>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate③">For each</a> &lt;<var>key</var>, <var>outputValue</var>> of <var>outputs</var>:</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate⑥">For each</a> &lt;<var>key</var>, <var>outputValue</var>> of <var>outputs</var>:</p>
        <ol>
         <li data-md>
-         <p>Issue a compute request to <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-implementation-slot" id="ref-for-dom-mlgraph-implementation-slot②">[[implementation]]</a></code> given <var>key</var> and <var>inputResources</var> and wait for completion.</p>
+         <p>Issue a compute request to <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-implementation-slot" id="ref-for-dom-mlgraph-implementation-slot⑥">[[implementation]]</a></code> given <var>key</var> and <var>inputResources</var> and wait for completion.</p>
          <ol>
           <li data-md>
-           <p>If that returns an error, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①②">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror④">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①④">DOMException</a></code>.</p>
+           <p>If that returns an error, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①④">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror⑥">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑦">DOMException</a></code>.</p>
           <li data-md>
            <p>Otherwise, store the result in <var>outputTensor</var>.</p>
          </ol>
         <li data-md>
-         <p>Let <var>outputDesc</var> be <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-outputdescriptors-slot" id="ref-for-dom-mlgraph-outputdescriptors-slot①">[[outputDescriptors]]</a></code>[<var>key</var>].</p>
+         <p>Let <var>outputDesc</var> be <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-outputdescriptors-slot" id="ref-for-dom-mlgraph-outputdescriptors-slot③">[[outputDescriptors]]</a></code>[<var>key</var>].</p>
         <li data-md>
-         <p>If the byte length of <var>outputTensor</var> is not equal to the <a data-link-type="dfn" href="#mloperanddescriptor-byte-length" id="ref-for-mloperanddescriptor-byte-length①">byte length</a> of <var>outputDesc</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①③">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror②">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑤">DOMException</a></code>.</p>
+         <p>If the byte length of <var>outputTensor</var> is not equal to the <a data-link-type="dfn" href="#mloperanddescriptor-byte-length" id="ref-for-mloperanddescriptor-byte-length③">byte length</a> of <var>outputDesc</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑤">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror③">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑧">DOMException</a></code>.</p>
         <li data-md>
-         <p>If the <a data-link-type="dfn" href="https://tc39.es/ecma262/#table-the-typedarray-constructors" id="ref-for-table-the-typedarray-constructors③">element type</a> of <var>outputTensor</var> doesn’t match the <a data-link-type="dfn" href="https://tc39.es/ecma262/#table-the-typedarray-constructors" id="ref-for-table-the-typedarray-constructors④">element type</a> of <var>outputValue</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①④">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror③">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑥">DOMException</a></code>.</p>
+         <p>If the <a data-link-type="dfn" href="https://tc39.es/ecma262/#table-the-typedarray-constructors" id="ref-for-table-the-typedarray-constructors②">element type</a> of <var>outputTensor</var> doesn’t match the <a data-link-type="dfn" href="https://tc39.es/ecma262/#table-the-typedarray-constructors" id="ref-for-table-the-typedarray-constructors③">element type</a> of <var>outputValue</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑥">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror④">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑨">DOMException</a></code>.</p>
         <li data-md>
          <p>Request the underlying implementation of <var>graph</var> to set the values of elements in <var>outputValue</var> to the values of elements in <var>outputTensor</var>.</p>
        </ol>
       <li data-md>
-       <p>Return <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-undefined" id="ref-for-idl-undefined③">undefined</a></code>.</p>
+       <p>Return <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-undefined" id="ref-for-idl-undefined⑧">undefined</a></code>.</p>
      </ol>
     </div>
    </details>
-   <h5 class="heading settled" data-level="7.4.2.1" id="api-mlcontext-sync-execution-examples"><span class="secno">7.4.2.1. </span><span class="content">Examples</span><a class="self-link" href="#api-mlcontext-sync-execution-examples"></a></h5>
+   <h5 class="heading settled" data-level="7.5.2.1" id="api-mlcontext-sync-execution-examples"><span class="secno">7.5.2.1. </span><span class="content">Examples</span><a class="self-link" href="#api-mlcontext-sync-execution-examples"></a></h5>
    <div class="example" id="example-4a21156c">
     <a class="self-link" href="#example-4a21156c"></a> 
     <details open>
@@ -2164,7 +2156,7 @@ <h5 class="heading settled" data-level="7.4.2.1" id="api-mlcontext-sync-executio
 </pre>
     </details>
    </div>
-   <h4 class="heading settled" data-level="7.4.3" id="mlnamedarraybufferviews-transfer-alg"><span class="secno">7.4.3. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews⑨">MLNamedArrayBufferViews</a></code> transfer algorithm</span><a class="self-link" href="#mlnamedarraybufferviews-transfer-alg"></a></h4>
+   <h4 class="heading settled" data-level="7.5.3" id="mlnamedarraybufferviews-transfer-alg"><span class="secno">7.5.3. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews⑨">MLNamedArrayBufferViews</a></code> transfer algorithm</span><a class="self-link" href="#mlnamedarraybufferviews-transfer-alg"></a></h4>
    <details class="algorithm" data-algorithm="transfer" data-algorithm-for="MLNamedArrayBufferViews" open>
     <summary> To <dfn class="dfn-paneled" data-dfn-for="MLNamedArrayBufferViews" data-dfn-type="dfn" data-noexport id="mlnamedarraybufferviews-transfer">transfer</dfn> an <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews①⓪">MLNamedArrayBufferViews</a></code> <var>views</var>: </summary>
     <div class="algorithm-steps">
@@ -2172,14 +2164,14 @@ <h4 class="heading settled" data-level="7.4.3" id="mlnamedarraybufferviews-trans
       <li data-md>
        <p>Let <var>transferredViews</var> be a new <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews①①">MLNamedArrayBufferViews</a></code>.</p>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate④">For each</a> <var>key</var> → <var>value</var> of <var>views</var>:</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate⑦">For each</a> <var>key</var> → <var>value</var> of <var>views</var>:</p>
        <ol>
         <li data-md>
          <p>Let <var>transferredBuffer</var> be the result of <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#arraybuffer-transfer" id="ref-for-arraybuffer-transfer">transferring</a> the <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#buffersource-underlying-buffer" id="ref-for-buffersource-underlying-buffer">underlying buffer</a> of <var>value</var>.</p>
         <li data-md>
-         <p>Let <var>constructor</var> be the appropriate <a data-link-type="dfn" href="https://tc39.es/ecma262/#table-the-typedarray-constructors" id="ref-for-table-the-typedarray-constructors⑤">view constructor</a> for the type of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView⑥">ArrayBufferView</a></code> <var>value</var>.</p>
+         <p>Let <var>constructor</var> be the appropriate <a data-link-type="dfn" href="https://tc39.es/ecma262/#table-the-typedarray-constructors" id="ref-for-table-the-typedarray-constructors④">view constructor</a> for the type of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView⑤">ArrayBufferView</a></code> <var>value</var>.</p>
         <li data-md>
-         <p>Let <var>elementsNumber</var> be the result of the <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#buffersource-byte-length" id="ref-for-buffersource-byte-length">byte length</a> of <var>value</var> ÷ <a data-link-type="dfn" href="https://tc39.es/ecma262/#table-the-typedarray-constructors" id="ref-for-table-the-typedarray-constructors⑥">element size</a> of <var>value</var>.</p>
+         <p>Let <var>elementsNumber</var> be the result of the <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#buffersource-byte-length" id="ref-for-buffersource-byte-length">byte length</a> of <var>value</var> ÷ <a data-link-type="dfn" href="https://tc39.es/ecma262/#table-the-typedarray-constructors" id="ref-for-table-the-typedarray-constructors⑤">element size</a> of <var>value</var>.</p>
         <li data-md>
          <p>Let <var>transferredView</var> be <a data-link-type="abstract-op" href="https://tc39.es/ecma262/multipage/abstract-operations.html#sec-construct" id="ref-for-sec-construct">Construct</a>(<var>constructor</var>, <var>transferredBuffer</var>, <var>value</var>.[[ByteOffset]], <var>elementsNumber</var>).</p>
         <li data-md>
@@ -2190,24 +2182,24 @@ <h4 class="heading settled" data-level="7.4.3" id="mlnamedarraybufferviews-trans
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.4.4" id="api-mlcontext-async-execution"><span class="secno">7.4.4. </span><span class="content">Asynchronous Execution</span><a class="self-link" href="#api-mlcontext-async-execution"></a></h4>
-    Asynchronously carries out the computational workload of a compiled graph <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph①④">MLGraph</a></code> on a separate timeline, either on a worker thread for the CPU execution, or on a GPU timeline for the submission of GPU workload on the command queue. The asynchronous nature of this call avoids blocking the calling thread while the computation for result is ongoing. This method of execution requires an <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext③⓪">MLContext</a></code> created with <code class="idl"><a data-link-type="idl" href="#dictdef-mlcontextoptions" id="ref-for-dictdef-mlcontextoptions⑥">MLContextOptions</a></code>. Otherwise, it<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑤">throws</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror⑤">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑦">DOMException</a></code>. 
+   <h4 class="heading settled" data-level="7.5.4" id="api-mlcontext-async-execution"><span class="secno">7.5.4. </span><span class="content">Asynchronous Execution</span><a class="self-link" href="#api-mlcontext-async-execution"></a></h4>
+    Asynchronously carries out the computational workload of a compiled graph <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph①⑥">MLGraph</a></code> on a separate timeline, either on a worker thread for the CPU execution, or on a GPU timeline for the submission of GPU workload on the command queue. The asynchronous nature of this call avoids blocking the calling thread while the computation for result is ongoing. This method of execution requires an <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext②⑨">MLContext</a></code> created with <code class="idl"><a data-link-type="idl" href="#dictdef-mlcontextoptions" id="ref-for-dictdef-mlcontextoptions⑥">MLContextOptions</a></code>. Otherwise, it<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑦">throws</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror⑦">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException②⓪">DOMException</a></code>. 
    <div class="note" role="note"> In accordance with the <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#arraybufferview-write" id="ref-for-arraybufferview-write">Web IDL warning</a>, to prevent the calling thread from modifying the input and output resources while the computation is ongoing, this method <a data-link-type="dfn" href="#mlnamedarraybufferviews-transfer" id="ref-for-mlnamedarraybufferviews-transfer">transfers</a> the input and output <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews①②">MLNamedArrayBufferViews</a></code> to new views that share the same backing memory allocations. The transferred views are returned to the caller via the promise fulfillment with the computation result written into the backing memory of the output views. </div>
 <pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlcomputeresult"><code><c- g>MLComputeResult</c-></code></dfn> {
   <a data-link-type="idl-name" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews①③"><c- n>MLNamedArrayBufferViews</c-></a> <dfn class="dfn-paneled idl-code" data-dfn-for="MLComputeResult" data-dfn-type="dict-member" data-export data-type="MLNamedArrayBufferViews " id="dom-mlcomputeresult-inputs"><code><c- g>inputs</c-></code></dfn>;
   <a data-link-type="idl-name" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews①④"><c- n>MLNamedArrayBufferViews</c-></a> <dfn class="dfn-paneled idl-code" data-dfn-for="MLComputeResult" data-dfn-type="dict-member" data-export data-type="MLNamedArrayBufferViews " id="dom-mlcomputeresult-outputs"><code><c- g>outputs</c-></code></dfn>;
 };
 
-<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlcontext" id="ref-for-mlcontext③①"><c- g>MLContext</c-></a> {
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlcontext" id="ref-for-mlcontext③⓪"><c- g>MLContext</c-></a> {
   <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-promise" id="ref-for-idl-promise③"><c- b>Promise</c-></a>&lt;<a data-link-type="idl-name" href="#dictdef-mlcomputeresult" id="ref-for-dictdef-mlcomputeresult"><c- n>MLComputeResult</c-></a>> <a class="idl-code" data-link-type="method" href="#dom-mlcontext-compute" id="ref-for-dom-mlcontext-compute④"><c- g>compute</c-></a>(
-      <a data-link-type="idl-name" href="#mlgraph" id="ref-for-mlgraph①⑤"><c- n>MLGraph</c-></a> <dfn class="idl-code" data-dfn-for="MLContext/compute(graph, inputs, outputs)" data-dfn-type="argument" data-export id="dom-mlcontext-compute-graph-inputs-outputs-graph"><code><c- g>graph</c-></code><a class="self-link" href="#dom-mlcontext-compute-graph-inputs-outputs-graph"></a></dfn>, <a data-link-type="idl-name" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews①⑤"><c- n>MLNamedArrayBufferViews</c-></a> <dfn class="idl-code" data-dfn-for="MLContext/compute(graph, inputs, outputs)" data-dfn-type="argument" data-export id="dom-mlcontext-compute-graph-inputs-outputs-inputs"><code><c- g>inputs</c-></code><a class="self-link" href="#dom-mlcontext-compute-graph-inputs-outputs-inputs"></a></dfn>, <a data-link-type="idl-name" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews①⑥"><c- n>MLNamedArrayBufferViews</c-></a> <dfn class="idl-code" data-dfn-for="MLContext/compute(graph, inputs, outputs)" data-dfn-type="argument" data-export id="dom-mlcontext-compute-graph-inputs-outputs-outputs"><code><c- g>outputs</c-></code><a class="self-link" href="#dom-mlcontext-compute-graph-inputs-outputs-outputs"></a></dfn>);
+      <a data-link-type="idl-name" href="#mlgraph" id="ref-for-mlgraph①⑦"><c- n>MLGraph</c-></a> <dfn class="idl-code" data-dfn-for="MLContext/compute(graph, inputs, outputs)" data-dfn-type="argument" data-export id="dom-mlcontext-compute-graph-inputs-outputs-graph"><code><c- g>graph</c-></code><a class="self-link" href="#dom-mlcontext-compute-graph-inputs-outputs-graph"></a></dfn>, <a data-link-type="idl-name" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews①⑤"><c- n>MLNamedArrayBufferViews</c-></a> <dfn class="idl-code" data-dfn-for="MLContext/compute(graph, inputs, outputs)" data-dfn-type="argument" data-export id="dom-mlcontext-compute-graph-inputs-outputs-inputs"><code><c- g>inputs</c-></code><a class="self-link" href="#dom-mlcontext-compute-graph-inputs-outputs-inputs"></a></dfn>, <a data-link-type="idl-name" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews①⑥"><c- n>MLNamedArrayBufferViews</c-></a> <dfn class="idl-code" data-dfn-for="MLContext/compute(graph, inputs, outputs)" data-dfn-type="argument" data-export id="dom-mlcontext-compute-graph-inputs-outputs-outputs"><code><c- g>outputs</c-></code><a class="self-link" href="#dom-mlcontext-compute-graph-inputs-outputs-outputs"></a></dfn>);
 };
 </pre>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>graph</em>: an <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph①⑥">MLGraph</a></code>. The compiled graph to be executed.</p>
+      <p><em>graph</em>: an <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph①⑧">MLGraph</a></code>. The compiled graph to be executed.</p>
      <li data-md>
       <p><em>inputs</em>: an <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews①⑦">MLNamedArrayBufferViews</a></code>. The resources of inputs. Will be <a data-link-type="dfn" href="#mlnamedarraybufferviews-transfer" id="ref-for-mlnamedarraybufferviews-transfer①">transferred</a> if there are no validation errors.</p>
      <li data-md>
@@ -2225,11 +2217,11 @@ <h4 class="heading settled" data-level="7.4.4" id="api-mlcontext-async-execution
        <p>Return <var>promise</var> and run the following steps <a data-link-type="dfn" href="https://html.spec.whatwg.org/multipage/infrastructure.html#in-parallel" id="ref-for-in-parallel②">in parallel</a>:</p>
        <ol>
         <li data-md>
-         <p>If <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-context-slot" id="ref-for-dom-mlgraph-context-slot①">[[context]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mlcontext-contexttype-slot" id="ref-for-dom-mlcontext-contexttype-slot⑥">[[contextType]]</a></code> is not "<a data-link-type="dfn" href="#default-context" id="ref-for-default-context④">default</a>", <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#reject" id="ref-for-reject④">reject</a> <var>promise</var> with an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror⑥">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑧">DOMException</a></code>.</p>
+         <p>If <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-context-slot" id="ref-for-dom-mlgraph-context-slot①">[[context]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mlcontext-contexttype-slot" id="ref-for-dom-mlcontext-contexttype-slot⑥">[[contextType]]</a></code> is not "<a data-link-type="dfn" href="#default-context" id="ref-for-default-context④">default</a>", <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#reject" id="ref-for-reject④">reject</a> <var>promise</var> with an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror⑧">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException②①">DOMException</a></code>.</p>
         <li data-md>
-         <p>If <a data-link-type="dfn" href="#validate-graph-resources" id="ref-for-validate-graph-resources②">validating graph resources</a> given <var>inputs</var> and <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-inputdescriptors-slot" id="ref-for-dom-mlgraph-inputdescriptors-slot②">[[inputDescriptors]]</a></code> returns false, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#reject" id="ref-for-reject⑤">reject</a> <var>promise</var> with a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror④">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑨">DOMException</a></code>.</p>
+         <p>If <a data-link-type="dfn" href="#validate-graph-resources" id="ref-for-validate-graph-resources②">validating graph resources</a> given <var>inputs</var> and <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-inputdescriptors-slot" id="ref-for-dom-mlgraph-inputdescriptors-slot④">[[inputDescriptors]]</a></code> returns false, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#reject" id="ref-for-reject⑤">reject</a> <var>promise</var> with a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑤">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException②②">DOMException</a></code>.</p>
         <li data-md>
-         <p>If <a data-link-type="dfn" href="#validate-graph-resources" id="ref-for-validate-graph-resources③">validating graph resources</a> given <var>outputs</var> and <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-outputdescriptors-slot" id="ref-for-dom-mlgraph-outputdescriptors-slot②">[[outputDescriptors]]</a></code> returns false, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#reject" id="ref-for-reject⑥">reject</a> <var>promise</var> with a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑤">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException②⓪">DOMException</a></code>.</p>
+         <p>If <a data-link-type="dfn" href="#validate-graph-resources" id="ref-for-validate-graph-resources③">validating graph resources</a> given <var>outputs</var> and <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-outputdescriptors-slot" id="ref-for-dom-mlgraph-outputdescriptors-slot④">[[outputDescriptors]]</a></code> returns false, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#reject" id="ref-for-reject⑥">reject</a> <var>promise</var> with a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑥">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException②③">DOMException</a></code>.</p>
         <li data-md>
          <p>Let <var>transferredInputs</var> be the result of <a data-link-type="dfn" href="#mlnamedarraybufferviews-transfer" id="ref-for-mlnamedarraybufferviews-transfer③">transferring</a> <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews①⑨">MLNamedArrayBufferViews</a></code> <var>inputs</var>.</p>
         <li data-md>
@@ -2237,7 +2229,7 @@ <h4 class="heading settled" data-level="7.4.4" id="api-mlcontext-async-execution
         <li data-md>
          <p>Invoke <a data-link-type="dfn" href="#execute-graph" id="ref-for-execute-graph①">execute graph</a> given <var>graph</var>, <var>transferredInputs</var> and <var>transferredOutputs</var>.</p>
         <li data-md>
-         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑥">throws</a> an error, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#reject" id="ref-for-reject⑦">reject</a> <var>promise</var> with the error.</p>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑧">throws</a> an error, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#reject" id="ref-for-reject⑦">reject</a> <var>promise</var> with the error.</p>
         <li data-md>
          <p>Otherwise, when <a data-link-type="dfn" href="#execute-graph" id="ref-for-execute-graph②">execute graph</a> has completed:</p>
          <ol>
@@ -2254,7 +2246,7 @@ <h4 class="heading settled" data-level="7.4.4" id="api-mlcontext-async-execution
      </ol>
     </div>
    </details>
-   <h5 class="heading settled" data-level="7.4.4.1" id="api-mlcontext-async-execution-examples"><span class="secno">7.4.4.1. </span><span class="content">Examples</span><a class="self-link" href="#api-mlcontext-async-execution-examples"></a></h5>
+   <h5 class="heading settled" data-level="7.5.4.1" id="api-mlcontext-async-execution-examples"><span class="secno">7.5.4.1. </span><span class="content">Examples</span><a class="self-link" href="#api-mlcontext-async-execution-examples"></a></h5>
    <div class="example" id="example-51b119bc">
     <a class="self-link" href="#example-51b119bc"></a> 
     <details open>
@@ -2284,199 +2276,70 @@ <h5 class="heading settled" data-level="7.4.4.1" id="api-mlcontext-async-executi
 </pre>
     </details>
    </div>
-   <h4 class="heading settled" data-level="7.4.5" id="api-mlcontext-webgpu-interop"><span class="secno">7.4.5. </span><span class="content">WebGPU Interoperability</span><a class="self-link" href="#api-mlcontext-webgpu-interop"></a></h4>
-    Create <code class="idl"><a data-link-type="idl" href="#mlcommandencoder" id="ref-for-mlcommandencoder②">MLCommandEncoder</a></code> interface used to record the ML workload onto a WebGPU-compatible <code class="idl"><a data-link-type="idl" href="https://gpuweb.github.io/gpuweb/#gpucommandbuffer" id="ref-for-gpucommandbuffer②">GPUCommandBuffer</a></code> to allow mixing of ML workload with other GPU workload in an application that leverages WebGPU. This method only succeeds on an <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext③②">MLContext</a></code> created with <code class="idl"><a data-link-type="idl" href="https://gpuweb.github.io/gpuweb/#gpudevice" id="ref-for-gpudevice⑥">GPUDevice</a></code>. Otherwise, it<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑦">throws</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror⑦">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException②①">DOMException</a></code>. 
-<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlcontext" id="ref-for-mlcontext③③"><c- g>MLContext</c-></a> {
-  <a data-link-type="idl-name" href="#mlcommandencoder" id="ref-for-mlcommandencoder③"><c- n>MLCommandEncoder</c-></a> <dfn class="dfn-paneled idl-code" data-dfn-for="MLContext" data-dfn-type="method" data-export data-lt="createCommandEncoder()" id="dom-mlcontext-createcommandencoder"><code><c- g>createCommandEncoder</c-></code></dfn>();
+   <h4 class="heading settled" data-level="7.5.5" id="api-mlcontext-webgpu-interop"><span class="secno">7.5.5. </span><span class="content">WebGPU Interoperability</span><a class="self-link" href="#api-mlcontext-webgpu-interop"></a></h4>
+    Create <code class="idl"><a data-link-type="idl" href="#mlcommandencoder" id="ref-for-mlcommandencoder⑨">MLCommandEncoder</a></code> interface used to record the ML workload onto a WebGPU-compatible <code class="idl"><a data-link-type="idl" href="https://gpuweb.github.io/gpuweb/#gpucommandbuffer" id="ref-for-gpucommandbuffer⑦">GPUCommandBuffer</a></code> to allow mixing of ML workload with other GPU workload in an application that leverages WebGPU. This method only succeeds on an <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext③①">MLContext</a></code> created with <code class="idl"><a data-link-type="idl" href="https://gpuweb.github.io/gpuweb/#gpudevice" id="ref-for-gpudevice⑥">GPUDevice</a></code>. Otherwise, it<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑨">throws</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror⑨">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException②④">DOMException</a></code>. 
+<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlcontext" id="ref-for-mlcontext③②"><c- g>MLContext</c-></a> {
+  <a data-link-type="idl-name" href="#mlcommandencoder" id="ref-for-mlcommandencoder①⓪"><c- n>MLCommandEncoder</c-></a> <dfn class="dfn-paneled idl-code" data-dfn-for="MLContext" data-dfn-type="method" data-export data-lt="createCommandEncoder()" id="dom-mlcontext-createcommandencoder"><code><c- g>createCommandEncoder</c-></code></dfn>();
 };
 </pre>
-   <div class="algorithm" data-algorithm="mlcontext.createcommandencoder"> <strong>Returns:</strong> <code class="idl"><a data-link-type="idl" href="#mlcommandencoder" id="ref-for-mlcommandencoder④">MLCommandEncoder</a></code>. The command encoder used to record ML workload on the GPU. </div>
-   <h3 class="heading settled" data-level="7.5" id="api-mlcommandencoder"><span class="secno">7.5. </span><span class="content">The MLCommandEncoder interface</span><a class="self-link" href="#api-mlcommandencoder"></a></h3>
-    The <code class="idl"><a data-link-type="idl" href="#mlcommandencoder" id="ref-for-mlcommandencoder⑤">MLCommandEncoder</a></code> interface represents a method of execution that synchronously records the computational workload of a compiled <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph①⑦">MLGraph</a></code> to a <code class="idl"><a data-link-type="idl" href="https://gpuweb.github.io/gpuweb/#gpucommandbuffer" id="ref-for-gpucommandbuffer③">GPUCommandBuffer</a></code> on the calling thread. Since the workload is not immediately executed, just recorded, this method allows more flexibility for the caller to determine how and when the recorded commands will be submitted for execution on the GPU relative to other GPU workload on the same or different queue. 
-<pre class="idl highlight def"><c- b>typedef</c-> (<a data-link-type="idl-name" href="https://gpuweb.github.io/gpuweb/#gpubuffer" id="ref-for-gpubuffer①"><c- n>GPUBuffer</c-></a> <c- b>or</c-> <a data-link-type="idl-name" href="https://gpuweb.github.io/gpuweb/#gputexture" id="ref-for-gputexture①"><c- n>GPUTexture</c-></a>) <dfn class="dfn-paneled idl-code" data-dfn-type="typedef" data-export id="typedefdef-mlgpuresource"><code><c- g>MLGPUResource</c-></code></dfn>;
-
-<c- b>typedef</c-> <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-record" id="ref-for-idl-record④"><c- b>record</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-DOMString" id="ref-for-idl-DOMString③"><c- b>DOMString</c-></a>, <a data-link-type="idl-name" href="#typedefdef-mlgpuresource" id="ref-for-typedefdef-mlgpuresource"><c- n>MLGPUResource</c-></a>> <dfn class="dfn-paneled idl-code" data-dfn-type="typedef" data-export id="typedefdef-mlnamedgpuresources"><code><c- g>MLNamedGPUResources</c-></code></dfn>;
-
-[<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#SecureContext" id="ref-for-SecureContext⑥"><c- g>SecureContext</c-></a>, <a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#Exposed" id="ref-for-Exposed⑧"><c- g>Exposed</c-></a>=(<c- n>Window</c->, <c- n>DedicatedWorker</c->)]
-<c- b>interface</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="interface" data-export id="mlcommandencoder"><code><c- g>MLCommandEncoder</c-></code></dfn> {};
+   <div class="algorithm" data-algorithm="mlcontext.createcommandencoder"> <strong>Returns:</strong> <code class="idl"><a data-link-type="idl" href="#mlcommandencoder" id="ref-for-mlcommandencoder①①">MLCommandEncoder</a></code>. The command encoder used to record ML workload on the GPU. </div>
+   <h3 class="heading settled" data-level="7.6" id="api-mlgraph"><span class="secno">7.6. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph①⑨">MLGraph</a></code> interface</span><a class="self-link" href="#api-mlgraph"></a></h3>
+    The <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph②⓪">MLGraph</a></code> interface represents a compiled computational graph. A compiled graph once constructed is immutable and cannot be subsequently changed. 
+<pre class="idl highlight def">[<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#SecureContext" id="ref-for-SecureContext⑤"><c- g>SecureContext</c-></a>, <a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#Exposed" id="ref-for-Exposed⑦"><c- g>Exposed</c-></a>=(<c- n>Window</c->, <c- n>DedicatedWorker</c->)]
+<c- b>interface</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="interface" data-export id="mlgraph"><code><c- g>MLGraph</c-></code></dfn> {};
 </pre>
    <div class="internal-slots">
-     <code class="idl"><a data-link-type="idl" href="#mlcommandencoder" id="ref-for-mlcommandencoder⑥">MLCommandEncoder</a></code> has the following internal slots: 
+     <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph②①">MLGraph</a></code> has the following internal slots: 
     <dl>
-     <dt data-md><dfn class="idl-code" data-dfn-for="MLCommandEncoder" data-dfn-type="attribute" data-export id="dom-mlcommandencoder-context-slot"><code>[[context]]</code><a class="self-link" href="#dom-mlcommandencoder-context-slot"></a></dfn> of type <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext③④">MLContext</a></code>
+     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGraph" data-dfn-type="attribute" data-export id="dom-mlgraph-context-slot"><code>[[context]]</code></dfn> of type <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext③③">MLContext</a></code>
      <dd data-md>
-      <p>The context of type <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext③⑤">MLContext</a></code> associated with this <code class="idl"><a data-link-type="idl" href="#mlcommandencoder" id="ref-for-mlcommandencoder⑦">MLCommandEncoder</a></code>.</p>
-     <dt data-md><dfn class="idl-code" data-dfn-for="MLCommandEncoder" data-dfn-type="attribute" data-export id="dom-mlcommandencoder-implementation-slot"><code>[[implementation]]</code><a class="self-link" href="#dom-mlcommandencoder-implementation-slot"></a></dfn>
+      <p>The context of type <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext③④">MLContext</a></code> associated with this <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph②②">MLGraph</a></code>.</p>
+     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGraph" data-dfn-type="attribute" data-export id="dom-mlgraph-inputdescriptors-slot"><code>[[inputDescriptors]]</code></dfn> of type <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-record" id="ref-for-idl-record③">record</a>&lt;<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMString" id="ref-for-idl-DOMString②">DOMString</a></code>, <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor">MLOperandDescriptor</a></code>>
+     <dd data-md>
+      <p>Maps the name of an input <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑦">MLOperand</a></code> to its <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①">MLOperandDescriptor</a></code> for all input <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑧">MLOperand</a></code>s of this <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph②③">MLGraph</a></code>.</p>
+     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGraph" data-dfn-type="attribute" data-export id="dom-mlgraph-outputdescriptors-slot"><code>[[outputDescriptors]]</code></dfn> of type <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-record" id="ref-for-idl-record④">record</a>&lt;<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMString" id="ref-for-idl-DOMString③">DOMString</a></code>, <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor②">MLOperandDescriptor</a></code>>
+     <dd data-md>
+      <p>Maps the name of an output <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑨">MLOperand</a></code> to its <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor③">MLOperandDescriptor</a></code> for all output <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⓪">MLOperand</a></code>s of this <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph②④">MLGraph</a></code>.</p>
+     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGraph" data-dfn-type="attribute" data-export id="dom-mlgraph-implementation-slot"><code>[[implementation]]</code></dfn>
      <dd data-md>
       <p>The underlying implementation provided by the User Agent.</p>
     </dl>
    </div>
-   <h4 class="heading settled" data-level="7.5.1" id="api-mlcommandencoder-graph-initialization"><span class="secno">7.5.1. </span><span class="content">Graph Initialization</span><a class="self-link" href="#api-mlcommandencoder-graph-initialization"></a></h4>
-    Record the initialization of the <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph①⑧">MLGraph</a></code>. This is a necessary step for optimal performance during graph execution as it gives the platform an opportunity to prepare and optimize constant input data for the subsequent execution of the graph. This method should only be called once per graph. 
-<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlcommandencoder" id="ref-for-mlcommandencoder⑧"><c- g>MLCommandEncoder</c-></a> {
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-undefined" id="ref-for-idl-undefined④"><c- b>undefined</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlcommandencoder-initializegraph" id="ref-for-dom-mlcommandencoder-initializegraph"><c- g>initializeGraph</c-></a>(<a data-link-type="idl-name" href="#mlgraph" id="ref-for-mlgraph①⑨"><c- n>MLGraph</c-></a> <dfn class="idl-code" data-dfn-for="MLCommandEncoder/initializeGraph(graph)" data-dfn-type="argument" data-export id="dom-mlcommandencoder-initializegraph-graph-graph"><code><c- g>graph</c-></code><a class="self-link" href="#dom-mlcommandencoder-initializegraph-graph-graph"></a></dfn>);
-};
-</pre>
-   <div>
-     <strong>Arguments:</strong> 
-    <ul>
-     <li data-md>
-      <p><em>graph</em>: an <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph②⓪">MLGraph</a></code>. The compiled graph to be initialized with graph constant inputs.</p>
-    </ul>
-    <p><strong>Returns:</strong> <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-undefined" id="ref-for-idl-undefined⑤">undefined</a></code>.</p>
-   </div>
-   <details class="algorithm" data-algorithm="initializeGraph(graph)" data-algorithm-for="MLCommandEncoder" open>
-    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLCommandEncoder" data-dfn-type="method" data-export id="dom-mlcommandencoder-initializegraph"><code>initializeGraph(<var>graph</var>)</code></dfn> method steps are: </summary>
-    <div>
-     <div class="note" role="note"> Graph initialization stage typically involves a process known as "weight preprocessing" where all the constant inputs to the graph are preprocessed and cached at the operating system level for subsequent graph execution calls. The initializing inputs are typically the constant weight data specified through the <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-constant" id="ref-for-dom-mlgraphbuilder-constant">MLGraphBuilder/constant(value, dataType)</a></code> method as constant operands during graph construction time. </div>
-    </div>
-   </details>
-   <h4 class="heading settled" data-level="7.5.2" id="api-mlcommandencoder-dispatch-commands"><span class="secno">7.5.2. </span><span class="content">Dispatch Execution Commands</span><a class="self-link" href="#api-mlcommandencoder-dispatch-commands"></a></h4>
-    Record the <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph②①">MLGraph</a></code> execution with the inputs <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedgpuresources" id="ref-for-typedefdef-mlnamedgpuresources">MLNamedGPUResources</a></code> and outputs <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedgpuresources" id="ref-for-typedefdef-mlnamedgpuresources①">MLNamedGPUResources</a></code>. 
-<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlcommandencoder" id="ref-for-mlcommandencoder⑨"><c- g>MLCommandEncoder</c-></a> {
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-undefined" id="ref-for-idl-undefined⑥"><c- b>undefined</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlcommandencoder-dispatch" id="ref-for-dom-mlcommandencoder-dispatch"><c- g>dispatch</c-></a>(<a data-link-type="idl-name" href="#mlgraph" id="ref-for-mlgraph②②"><c- n>MLGraph</c-></a> <dfn class="idl-code" data-dfn-for="MLCommandEncoder/dispatch(graph, inputs, outputs)" data-dfn-type="argument" data-export id="dom-mlcommandencoder-dispatch-graph-inputs-outputs-graph"><code><c- g>graph</c-></code><a class="self-link" href="#dom-mlcommandencoder-dispatch-graph-inputs-outputs-graph"></a></dfn>, <a data-link-type="idl-name" href="#typedefdef-mlnamedgpuresources" id="ref-for-typedefdef-mlnamedgpuresources②"><c- n>MLNamedGPUResources</c-></a> <dfn class="idl-code" data-dfn-for="MLCommandEncoder/dispatch(graph, inputs, outputs)" data-dfn-type="argument" data-export id="dom-mlcommandencoder-dispatch-graph-inputs-outputs-inputs"><code><c- g>inputs</c-></code><a class="self-link" href="#dom-mlcommandencoder-dispatch-graph-inputs-outputs-inputs"></a></dfn>, <a data-link-type="idl-name" href="#typedefdef-mlnamedgpuresources" id="ref-for-typedefdef-mlnamedgpuresources③"><c- n>MLNamedGPUResources</c-></a> <dfn class="idl-code" data-dfn-for="MLCommandEncoder/dispatch(graph, inputs, outputs)" data-dfn-type="argument" data-export id="dom-mlcommandencoder-dispatch-graph-inputs-outputs-outputs"><code><c- g>outputs</c-></code><a class="self-link" href="#dom-mlcommandencoder-dispatch-graph-inputs-outputs-outputs"></a></dfn>);
-};
-</pre>
-   <div>
-     <strong>Arguments:</strong> 
-    <ul>
-     <li data-md>
-      <p><em>graph</em>: an <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph②③">MLGraph</a></code>. The compiled graph to be executed.</p>
-     <li data-md>
-      <p><em>inputs</em>: an <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedgpuresources" id="ref-for-typedefdef-mlnamedgpuresources④">MLNamedGPUResources</a></code>. The resources of inputs.</p>
-     <li data-md>
-      <p><em>outputs</em>: an <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedgpuresources" id="ref-for-typedefdef-mlnamedgpuresources⑤">MLNamedGPUResources</a></code>. The pre-allocated resources of required outputs.</p>
-    </ul>
-    <p><strong>Returns:</strong> <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-undefined" id="ref-for-idl-undefined⑦">undefined</a></code>.</p>
-   </div>
-   <details class="algorithm" data-algorithm="dispatch(graph, inputs, outputs)" data-algorithm-for="MLCommandEncoder" open>
-    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLCommandEncoder" data-dfn-type="method" data-export id="dom-mlcommandencoder-dispatch"><code>dispatch(<var>graph</var>, <var>inputs</var>, <var>outputs</var>)</code></dfn> method steps are: </summary>
-    <div class="algorithm-steps">
-     <ol>
-      <li data-md>
-       <p>If any of the following requirements are unmet, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑧">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑥">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException②②">DOMException</a></code>.</p>
-       <div class="validusage">
-        <ol>
-         <li data-md>
-          <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate⑤">For each</a> <var>key</var> → <var>value</var> of <var>inputs</var>:</p>
-          <ol>
-           <li data-md>
-            <p><var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-inputdescriptors-slot" id="ref-for-dom-mlgraph-inputdescriptors-slot③">[[inputDescriptors]]</a></code>[<var>key</var>] must <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑤">exist</a>.</p>
-           <li data-md>
-            <p>Let <var>inputDesc</var> be <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-inputdescriptors-slot" id="ref-for-dom-mlgraph-inputdescriptors-slot④">[[inputDescriptors]]</a></code>[<var>key</var>].</p>
-           <li data-md>
-            <p>If <var>value</var> is a <code class="idl"><a data-link-type="idl" href="https://gpuweb.github.io/gpuweb/#gpubuffer" id="ref-for-gpubuffer②">GPUBuffer</a></code>, then:</p>
-            <ol>
-             <li data-md>
-              <p><var>value</var>.<code class="idl"><a data-link-type="idl" href="https://gpuweb.github.io/gpuweb/#dom-gpubuffer-size" id="ref-for-dom-gpubuffer-size">size</a></code> must equal to <a data-link-type="dfn" href="#mloperanddescriptor-byte-length" id="ref-for-mloperanddescriptor-byte-length②">byte length</a> of <var>inputDesc</var>.</p>
-            </ol>
-          </ol>
-         <li data-md>
-          <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate⑥">For each</a> <var>key</var> → <var>value</var> of <var>outputs</var>:</p>
-          <ol>
-           <li data-md>
-            <p><var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-outputdescriptors-slot" id="ref-for-dom-mlgraph-outputdescriptors-slot③">[[outputDescriptors]]</a></code>[<var>key</var>] must <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑥">exist</a>.</p>
-           <li data-md>
-            <p>Let <var>outputDesc</var> be <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-outputdescriptors-slot" id="ref-for-dom-mlgraph-outputdescriptors-slot④">[[outputDescriptors]]</a></code>[<var>key</var>].</p>
-           <li data-md>
-            <p>If <var>value</var> is a <code class="idl"><a data-link-type="idl" href="https://gpuweb.github.io/gpuweb/#gpubuffer" id="ref-for-gpubuffer③">GPUBuffer</a></code>, then:</p>
-            <ol>
-             <li data-md>
-              <p><var>value</var>.<code class="idl"><a data-link-type="idl" href="https://gpuweb.github.io/gpuweb/#dom-gpubuffer-size" id="ref-for-dom-gpubuffer-size①">size</a></code> must equal to <a data-link-type="dfn" href="#mloperanddescriptor-byte-length" id="ref-for-mloperanddescriptor-byte-length③">byte length</a> of <var>outputDesc</var>.</p>
-            </ol>
-          </ol>
-        </ol>
-       </div>
-      <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate⑦">For each</a> <var>key</var> → <var>value</var> of <var>inputs</var>:</p>
-       <ol>
-        <li data-md>
-         <p>Set the input of <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-implementation-slot" id="ref-for-dom-mlgraph-implementation-slot③">[[implementation]]</a></code> that is associated with <var>key</var> to <var>value</var>.</p>
-       </ol>
-      <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate⑧">For each</a> <var>key</var> → <var>value</var> of <var>outputs</var>:</p>
-       <ol>
-        <li data-md>
-         <p>Set the output of <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-implementation-slot" id="ref-for-dom-mlgraph-implementation-slot④">[[implementation]]</a></code> that is associated with <var>key</var> to <var>value</var>.</p>
-       </ol>
-      <li data-md>
-       <p>Issue a compute request of <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-implementation-slot" id="ref-for-dom-mlgraph-implementation-slot⑤">[[implementation]]</a></code>.</p>
-      <li data-md>
-       <p>If there is an error returned by <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-implementation-slot" id="ref-for-dom-mlgraph-implementation-slot⑥">[[implementation]]</a></code>, then:</p>
-       <ol>
-        <li data-md>
-         <p>Throw an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror⑧">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException②③">DOMException</a></code>.</p>
-       </ol>
-      <li data-md>
-       <p>Return <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-undefined" id="ref-for-idl-undefined⑧">undefined</a></code>.</p>
-     </ol>
-    </div>
-   </details>
-   <h4 class="heading settled" data-level="7.5.3" id="api-mlcommandencoder-generate-gpu-command-buffer"><span class="secno">7.5.3. </span><span class="content">Generate GPU Command Buffer</span><a class="self-link" href="#api-mlcommandencoder-generate-gpu-command-buffer"></a></h4>
-    Complete the recording of ML workload and return a WebGPU-compatible <code class="idl"><a data-link-type="idl" href="https://gpuweb.github.io/gpuweb/#gpucommandbuffer" id="ref-for-gpucommandbuffer④">GPUCommandBuffer</a></code> containing the recorded workload. 
-<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlcommandencoder" id="ref-for-mlcommandencoder①⓪"><c- g>MLCommandEncoder</c-></a> {
-  <a data-link-type="idl-name" href="https://gpuweb.github.io/gpuweb/#gpucommandbuffer" id="ref-for-gpucommandbuffer⑤"><c- n>GPUCommandBuffer</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlcommandencoder-finish" id="ref-for-dom-mlcommandencoder-finish"><c- g>finish</c-></a>(<c- b>optional</c-> <a data-link-type="idl-name" href="https://gpuweb.github.io/gpuweb/#dictdef-gpucommandbufferdescriptor" id="ref-for-dictdef-gpucommandbufferdescriptor"><c- n>GPUCommandBufferDescriptor</c-></a> <dfn class="idl-code" data-dfn-for="MLCommandEncoder/finish(descriptor), MLCommandEncoder/finish()" data-dfn-type="argument" data-export id="dom-mlcommandencoder-finish-descriptor-descriptor"><code><c- g>descriptor</c-></code><a class="self-link" href="#dom-mlcommandencoder-finish-descriptor-descriptor"></a></dfn> = {});
-};
-</pre>
-   <div>
-     <strong>Arguments:</strong> 
-    <ul>
-     <li data-md>
-      <p><em>descriptor</em>: an optional <code class="idl"><a data-link-type="idl" href="https://gpuweb.github.io/gpuweb/#dictdef-gpucommandbufferdescriptor" id="ref-for-dictdef-gpucommandbufferdescriptor①">GPUCommandBufferDescriptor</a></code>. Descriptor of the command buffer.</p>
-    </ul>
-    <p><strong>Returns:</strong> <code class="idl"><a data-link-type="idl" href="https://gpuweb.github.io/gpuweb/#gpucommandbuffer" id="ref-for-gpucommandbuffer⑥">GPUCommandBuffer</a></code>.</p>
-   </div>
-   <details class="algorithm" data-algorithm="finish(descriptor)" data-algorithm-for="MLCommandEncoder" open>
-    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLCommandEncoder" data-dfn-type="method" data-export data-lt="finish(descriptor)|finish()" id="dom-mlcommandencoder-finish"><code>finish(<var>descriptor</var>)</code></dfn> method steps are: </summary>
-    <div class="algorithm-steps">
-     <ol>
-      <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑨">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror⑨">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException②④">DOMException</a></code>.</p>
-       <ol>
-        <li data-md>
-         <p>Make a request to the underlying platform to complete the recording of the ML workload, given <var>descriptor</var>.</p>
-         <div class="note" role="note"> See the related <a href="https://www.w3.org/TR/webgpu/#dom-gpucommandencoder-finish">WebGPU steps</a>. </div>
-       </ol>
-      <li data-md>
-       <p>Return a <code class="idl"><a data-link-type="idl" href="https://gpuweb.github.io/gpuweb/#gpucommandbuffer" id="ref-for-gpucommandbuffer⑦">GPUCommandBuffer</a></code> containing the recorded workload.</p>
-     </ol>
-    </div>
-   </details>
-   <h3 class="heading settled" data-level="7.6" id="api-mlgraphbuilder"><span class="secno">7.6. </span><span class="content">The MLGraphBuilder interface</span><a class="self-link" href="#api-mlgraphbuilder"></a></h3>
-   <p>The <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder①⑤">MLGraphBuilder</a></code> interface defines a set of operations as identified by the <a href="#usecases">§ 2 Use cases</a> that can be composed into a computational graph. It also represents the intermediate state of a graph building session.</p>
-<pre class="idl highlight def"><c- b>typedef</c-> <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-record" id="ref-for-idl-record⑤"><c- b>record</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-DOMString" id="ref-for-idl-DOMString④"><c- b>DOMString</c-></a>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②④"><c- n>MLOperand</c-></a>> <dfn class="dfn-paneled idl-code" data-dfn-type="typedef" data-export id="typedefdef-mlnamedoperands"><code><c- g>MLNamedOperands</c-></code></dfn>;
-
-<c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlbufferresourceview"><code><c- g>MLBufferResourceView</c-></code></dfn> {
-  <c- b>required</c-> <a data-link-type="idl-name" href="https://gpuweb.github.io/gpuweb/#gpubuffer" id="ref-for-gpubuffer④"><c- n>GPUBuffer</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="GPUBuffer " href="#dom-mlbufferresourceview-resource" id="ref-for-dom-mlbufferresourceview-resource"><c- g>resource</c-></a>;
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long-long" id="ref-for-idl-unsigned-long-long"><c- b>unsigned</c-> <c- b>long</c-> <c- b>long</c-></a> <a class="idl-code" data-default="0" data-link-type="dict-member" data-type="unsigned long long " href="#dom-mlbufferresourceview-offset" id="ref-for-dom-mlbufferresourceview-offset"><c- g>offset</c-></a> = 0;
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long-long" id="ref-for-idl-unsigned-long-long①"><c- b>unsigned</c-> <c- b>long</c-> <c- b>long</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="unsigned long long " href="#dom-mlbufferresourceview-size" id="ref-for-dom-mlbufferresourceview-size"><c- g>size</c-></a>;
+   <h3 class="heading settled" data-level="7.7" id="api-mlgraphbuilder"><span class="secno">7.7. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder①①">MLGraphBuilder</a></code> interface</span><a class="self-link" href="#api-mlgraphbuilder"></a></h3>
+   <p>The <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder①②">MLGraphBuilder</a></code> interface defines a set of operations as identified by the <a href="#usecases">§ 2 Use cases</a> that can be composed into a computational graph. It also represents the intermediate state of a graph building session.</p>
+<pre class="idl highlight def"><c- b>typedef</c-> <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-record" id="ref-for-idl-record⑤"><c- b>record</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-DOMString" id="ref-for-idl-DOMString④"><c- b>DOMString</c-></a>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①①"><c- n>MLOperand</c-></a>> <dfn class="dfn-paneled idl-code" data-dfn-type="typedef" data-export id="typedefdef-mlnamedoperands"><code><c- g>MLNamedOperands</c-></code></dfn>;
+
+<c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlbufferresourceview"><code><c- g>MLBufferResourceView</c-></code></dfn> {
+  <c- b>required</c-> <a data-link-type="idl-name" href="https://gpuweb.github.io/gpuweb/#gpubuffer" id="ref-for-gpubuffer④"><c- n>GPUBuffer</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="GPUBuffer " href="#dom-mlbufferresourceview-resource" id="ref-for-dom-mlbufferresourceview-resource"><c- g>resource</c-></a>;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long-long" id="ref-for-idl-unsigned-long-long"><c- b>unsigned</c-> <c- b>long</c-> <c- b>long</c-></a> <a class="idl-code" data-default="0" data-link-type="dict-member" data-type="unsigned long long " href="#dom-mlbufferresourceview-offset" id="ref-for-dom-mlbufferresourceview-offset"><c- g>offset</c-></a> = 0;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long-long" id="ref-for-idl-unsigned-long-long①"><c- b>unsigned</c-> <c- b>long</c-> <c- b>long</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="unsigned long long " href="#dom-mlbufferresourceview-size" id="ref-for-dom-mlbufferresourceview-size"><c- g>size</c-></a>;
 };
 
-<c- b>typedef</c-> (<a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView⑦"><c- n>ArrayBufferView</c-></a> <c- b>or</c-> <a data-link-type="idl-name" href="#dictdef-mlbufferresourceview" id="ref-for-dictdef-mlbufferresourceview"><c- n>MLBufferResourceView</c-></a>) <dfn class="dfn-paneled idl-code" data-dfn-type="typedef" data-export id="typedefdef-mlbufferview"><code><c- g>MLBufferView</c-></code></dfn>;
+<c- b>typedef</c-> (<a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView⑥"><c- n>ArrayBufferView</c-></a> <c- b>or</c-> <a data-link-type="idl-name" href="#dictdef-mlbufferresourceview" id="ref-for-dictdef-mlbufferresourceview"><c- n>MLBufferResourceView</c-></a>) <dfn class="dfn-paneled idl-code" data-dfn-type="typedef" data-export id="typedefdef-mlbufferview"><code><c- g>MLBufferView</c-></code></dfn>;
 
-[<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#SecureContext" id="ref-for-SecureContext⑦"><c- g>SecureContext</c-></a>, <a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#Exposed" id="ref-for-Exposed⑨"><c- g>Exposed</c-></a>=(<c- n>Window</c->, <c- n>DedicatedWorker</c->)]
+[<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#SecureContext" id="ref-for-SecureContext⑥"><c- g>SecureContext</c-></a>, <a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#Exposed" id="ref-for-Exposed⑧"><c- g>Exposed</c-></a>=(<c- n>Window</c->, <c- n>DedicatedWorker</c->)]
 <c- b>interface</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="interface" data-export id="mlgraphbuilder"><code><c- g>MLGraphBuilder</c-></code></dfn> {
   // Construct the graph builder from the context.
-  <a class="idl-code" data-link-type="constructor" href="#dom-mlgraphbuilder-mlgraphbuilder" id="ref-for-dom-mlgraphbuilder-mlgraphbuilder①"><c- g>constructor</c-></a>(<a data-link-type="idl-name" href="#mlcontext" id="ref-for-mlcontext③⑥"><c- n>MLContext</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/MLGraphBuilder(context), MLGraphBuilder/constructor(context)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-mlgraphbuilder-context-context"><code><c- g>context</c-></code><a class="self-link" href="#dom-mlgraphbuilder-mlgraphbuilder-context-context"></a></dfn>);
+  <a class="idl-code" data-link-type="constructor" href="#dom-mlgraphbuilder-mlgraphbuilder" id="ref-for-dom-mlgraphbuilder-mlgraphbuilder"><c- g>constructor</c-></a>(<a data-link-type="idl-name" href="#mlcontext" id="ref-for-mlcontext③⑤"><c- n>MLContext</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/MLGraphBuilder(context), MLGraphBuilder/constructor(context)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-mlgraphbuilder-context-context"><code><c- g>context</c-></code><a class="self-link" href="#dom-mlgraphbuilder-mlgraphbuilder-context-context"></a></dfn>);
 
   // Create an operand for a graph input.
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑤"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-input" id="ref-for-dom-mlgraphbuilder-input"><c- g>input</c-></a>(<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-DOMString" id="ref-for-idl-DOMString⑤"><c- b>DOMString</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/input(name, descriptor)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-input-name-descriptor-name"><code><c- g>name</c-></code><a class="self-link" href="#dom-mlgraphbuilder-input-name-descriptor-name"></a></dfn>, <a data-link-type="idl-name" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor⑦"><c- n>MLOperandDescriptor</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/input(name, descriptor)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-input-name-descriptor-descriptor"><code><c- g>descriptor</c-></code><a class="self-link" href="#dom-mlgraphbuilder-input-name-descriptor-descriptor"></a></dfn>);
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①②"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-input" id="ref-for-dom-mlgraphbuilder-input"><c- g>input</c-></a>(<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-DOMString" id="ref-for-idl-DOMString⑤"><c- b>DOMString</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/input(name, descriptor)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-input-name-descriptor-name"><code><c- g>name</c-></code><a class="self-link" href="#dom-mlgraphbuilder-input-name-descriptor-name"></a></dfn>, <a data-link-type="idl-name" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor④"><c- n>MLOperandDescriptor</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/input(name, descriptor)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-input-name-descriptor-descriptor"><code><c- g>descriptor</c-></code><a class="self-link" href="#dom-mlgraphbuilder-input-name-descriptor-descriptor"></a></dfn>);
 
   // Create an operand for a graph constant.
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑥"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-constant" id="ref-for-dom-mlgraphbuilder-constant①"><c- g>constant</c-></a>(<a data-link-type="idl-name" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor⑧"><c- n>MLOperandDescriptor</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/constant(descriptor, bufferView)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-constant-descriptor-bufferview-descriptor"><code><c- g>descriptor</c-></code><a class="self-link" href="#dom-mlgraphbuilder-constant-descriptor-bufferview-descriptor"></a></dfn>, <a data-link-type="idl-name" href="#typedefdef-mlbufferview" id="ref-for-typedefdef-mlbufferview①"><c- n>MLBufferView</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/constant(descriptor, bufferView)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-constant-descriptor-bufferview-bufferview"><code><c- g>bufferView</c-></code><a class="self-link" href="#dom-mlgraphbuilder-constant-descriptor-bufferview-bufferview"></a></dfn>);
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①③"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-constant" id="ref-for-dom-mlgraphbuilder-constant①"><c- g>constant</c-></a>(<a data-link-type="idl-name" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor⑤"><c- n>MLOperandDescriptor</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/constant(descriptor, bufferView)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-constant-descriptor-bufferview-descriptor"><code><c- g>descriptor</c-></code><a class="self-link" href="#dom-mlgraphbuilder-constant-descriptor-bufferview-descriptor"></a></dfn>, <a data-link-type="idl-name" href="#typedefdef-mlbufferview" id="ref-for-typedefdef-mlbufferview①"><c- n>MLBufferView</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/constant(descriptor, bufferView)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-constant-descriptor-bufferview-bufferview"><code><c- g>bufferView</c-></code><a class="self-link" href="#dom-mlgraphbuilder-constant-descriptor-bufferview-bufferview"></a></dfn>);
 
   // Create a single-value operand from the specified number of the specified type.
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑦"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-constant-value-datatype" id="ref-for-dom-mlgraphbuilder-constant-value-datatype"><c- g>constant</c-></a>(<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-double" id="ref-for-idl-double"><c- b>double</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/constant(value, dataType), MLGraphBuilder/constant(value)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-constant-value-datatype-value"><code><c- g>value</c-></code><a class="self-link" href="#dom-mlgraphbuilder-constant-value-datatype-value"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype②"><c- n>MLOperandDataType</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/constant(value, dataType), MLGraphBuilder/constant(value)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-constant-value-datatype-datatype"><code><c- g>dataType</c-></code><a class="self-link" href="#dom-mlgraphbuilder-constant-value-datatype-datatype"></a></dfn> = "float32");
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①④"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-constant-value-type" id="ref-for-dom-mlgraphbuilder-constant-value-type"><c- g>constant</c-></a>(<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-double" id="ref-for-idl-double"><c- b>double</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/constant(value, type), MLGraphBuilder/constant(value)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-constant-value-type-value"><code><c- g>value</c-></code><a class="self-link" href="#dom-mlgraphbuilder-constant-value-type-value"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype①"><c- n>MLOperandDataType</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/constant(value, type), MLGraphBuilder/constant(value)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-constant-value-type-type"><code><c- g>type</c-></code><a class="self-link" href="#dom-mlgraphbuilder-constant-value-type-type"></a></dfn> = "float32");
 
   // Compile the graph up to the specified output operands asynchronously.
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-promise" id="ref-for-idl-promise④"><c- b>Promise</c-></a>&lt;<a data-link-type="idl-name" href="#mlgraph" id="ref-for-mlgraph②④"><c- n>MLGraph</c-></a>> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-build" id="ref-for-dom-mlgraphbuilder-build①"><c- g>build</c-></a>(<a data-link-type="idl-name" href="#typedefdef-mlnamedoperands" id="ref-for-typedefdef-mlnamedoperands"><c- n>MLNamedOperands</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/build(outputs)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-build-outputs-outputs"><code><c- g>outputs</c-></code><a class="self-link" href="#dom-mlgraphbuilder-build-outputs-outputs"></a></dfn>);
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-promise" id="ref-for-idl-promise④"><c- b>Promise</c-></a>&lt;<a data-link-type="idl-name" href="#mlgraph" id="ref-for-mlgraph②⑤"><c- n>MLGraph</c-></a>> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-build" id="ref-for-dom-mlgraphbuilder-build①"><c- g>build</c-></a>(<a data-link-type="idl-name" href="#typedefdef-mlnamedoperands" id="ref-for-typedefdef-mlnamedoperands"><c- n>MLNamedOperands</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/build(outputs)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-build-outputs-outputs"><code><c- g>outputs</c-></code><a class="self-link" href="#dom-mlgraphbuilder-build-outputs-outputs"></a></dfn>);
 
   // Compile the graph up to the specified output operands synchronously.
-  [<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#Exposed" id="ref-for-Exposed①⓪"><c- g>Exposed</c-></a>=(<c- n>DedicatedWorker</c->)]
-  <a data-link-type="idl-name" href="#mlgraph" id="ref-for-mlgraph②⑤"><c- n>MLGraph</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-buildsync" id="ref-for-dom-mlgraphbuilder-buildsync①"><c- g>buildSync</c-></a>(<a data-link-type="idl-name" href="#typedefdef-mlnamedoperands" id="ref-for-typedefdef-mlnamedoperands①"><c- n>MLNamedOperands</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/buildSync(outputs)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-buildsync-outputs-outputs"><code><c- g>outputs</c-></code><a class="self-link" href="#dom-mlgraphbuilder-buildsync-outputs-outputs"></a></dfn>);
+  [<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#Exposed" id="ref-for-Exposed⑨"><c- g>Exposed</c-></a>=(<c- n>DedicatedWorker</c->)]
+  <a data-link-type="idl-name" href="#mlgraph" id="ref-for-mlgraph②⑥"><c- n>MLGraph</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-buildsync" id="ref-for-dom-mlgraphbuilder-buildsync①"><c- g>buildSync</c-></a>(<a data-link-type="idl-name" href="#typedefdef-mlnamedoperands" id="ref-for-typedefdef-mlnamedoperands①"><c- n>MLNamedOperands</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/buildSync(outputs)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-buildsync-outputs-outputs"><code><c- g>outputs</c-></code><a class="self-link" href="#dom-mlgraphbuilder-buildsync-outputs-outputs"></a></dfn>);
 };
 </pre>
-   <div class="note" role="note"> Both <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder①⑥">MLGraphBuilder</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-build" id="ref-for-dom-mlgraphbuilder-build②">build()</a></code> and <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder①⑦">MLGraphBuilder</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-buildsync" id="ref-for-dom-mlgraphbuilder-buildsync②">buildSync()</a></code> methods compile the graph builder state up to the specified output operands into a compiled graph according to the type of <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext③⑦">MLContext</a></code> that creates it. Since this operation can be costly in some machine configurations, the calling thread of the <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder①⑧">MLGraphBuilder</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-buildsync" id="ref-for-dom-mlgraphbuilder-buildsync③">buildSync()</a></code> method must only be a worker thread to avoid potential disruption of the user experience. When the <code class="idl"><a data-link-type="idl" href="#dom-mlcontext-contexttype-slot" id="ref-for-dom-mlcontext-contexttype-slot⑦">[[contextType]]</a></code> of the <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext③⑧">MLContext</a></code> is set to "<a data-link-type="dfn" href="#default-context" id="ref-for-default-context⑤">default</a>", the compiled graph is initialized right before the <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph②⑥">MLGraph</a></code> is returned. This graph initialization stage is important for optimal performance of the subsequent graph executions. See <a href="#api-mlcommandencoder-graph-initialization">§ 7.5.1 Graph Initialization</a> for more detail. </div>
+   <div class="note" role="note"> Both <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder①③">MLGraphBuilder</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-build" id="ref-for-dom-mlgraphbuilder-build②">build()</a></code> and <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder①④">MLGraphBuilder</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-buildsync" id="ref-for-dom-mlgraphbuilder-buildsync②">buildSync()</a></code> methods compile the graph builder state up to the specified output operands into a compiled graph according to the type of <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext③⑥">MLContext</a></code> that creates it. Since this operation can be costly in some machine configurations, the calling thread of the <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder①⑤">MLGraphBuilder</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-buildsync" id="ref-for-dom-mlgraphbuilder-buildsync③">buildSync()</a></code> method must only be a worker thread to avoid potential disruption of the user experience. When the <code class="idl"><a data-link-type="idl" href="#dom-mlcontext-contexttype-slot" id="ref-for-dom-mlcontext-contexttype-slot⑦">[[contextType]]</a></code> of the <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext③⑦">MLContext</a></code> is set to "<a data-link-type="dfn" href="#default-context" id="ref-for-default-context⑤">default</a>", the compiled graph is initialized right before the <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph②⑦">MLGraph</a></code> is returned. This graph initialization stage is important for optimal performance of the subsequent graph executions. See <a href="#api-mlcommandencoder-graph-initialization">§ 7.4.1 Graph Initialization</a> for more detail. </div>
    <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlbufferresourceview" id="ref-for-dictdef-mlbufferresourceview①">MLBufferResourceView</a></code> has the following members:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLBufferResourceView" data-dfn-type="dict-member" data-export id="dom-mlbufferresourceview-resource"><code>resource</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://gpuweb.github.io/gpuweb/#gpubuffer" id="ref-for-gpubuffer⑤">GPUBuffer</a></span>
@@ -2490,14 +2353,14 @@ <h3 class="heading settled" data-level="7.6" id="api-mlgraphbuilder"><span class
      <p>Specifies the <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long-long" id="ref-for-idl-unsigned-long-long⑤">unsigned long long</a></code> size of the buffer view.</p>
    </dl>
    <div class="internal-slots">
-     <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder①⑨">MLGraphBuilder</a></code> has the following internal slots: 
+     <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder①⑥">MLGraphBuilder</a></code> has the following internal slots: 
     <dl>
-     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="attribute" data-export id="dom-mlgraphbuilder-context-slot"><code>[[context]]</code></dfn> of type <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext③⑨">MLContext</a></code>
+     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="attribute" data-export id="dom-mlgraphbuilder-context-slot"><code>[[context]]</code></dfn> of type <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext③⑧">MLContext</a></code>
      <dd data-md>
-      <p>The context of type <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext④⓪">MLContext</a></code> associated with this <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder②⓪">MLGraphBuilder</a></code>.</p>
+      <p>The context of type <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext③⑨">MLContext</a></code> associated with this <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder①⑦">MLGraphBuilder</a></code>.</p>
     </dl>
    </div>
-   <h4 class="heading settled" data-level="7.6.1" id="api-mlgraphbuilder-constructor"><span class="secno">7.6.1. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder②①">MLGraphBuilder</a></code> constructor</span><a class="self-link" href="#api-mlgraphbuilder-constructor"></a></h4>
+   <h4 class="heading settled" data-level="7.7.1" id="api-mlgraphbuilder-constructor"><span class="secno">7.7.1. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder①⑧">MLGraphBuilder</a></code> constructor</span><a class="self-link" href="#api-mlgraphbuilder-constructor"></a></h4>
    <details class="algorithm" data-algorithm="MLGraphBuilder(context)" data-algorithm-for="MLGraphBuilder" open>
     <summary> The <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#new" id="ref-for-new">new</a> <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="constructor" data-export data-lt="MLGraphBuilder(context)|constructor(context)" id="dom-mlgraphbuilder-mlgraphbuilder"><code>MLGraphBuilder(context)</code></dfn> constructor steps are: </summary>
     <div class="algorithm-steps">
@@ -2511,67 +2374,238 @@ <h4 class="heading settled" data-level="7.6.1" id="api-mlgraphbuilder-constructo
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.6.2" id="api-mlgraphbuilder-input"><span class="secno">7.6.2. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-input" id="ref-for-dom-mlgraphbuilder-input①">input()</a></code> method</span><a class="self-link" href="#api-mlgraphbuilder-input"></a></h4>
-    Create a named <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑧">MLOperand</a></code> based on a descriptor, that can be used as an input. 
+   <h4 class="heading settled" data-level="7.7.2" id="api-mlgraphbuilder-argminmax"><span class="secno">7.7.2. </span><span class="content">argMin/Max</span><a class="self-link" href="#api-mlgraphbuilder-argminmax"></a></h4>
+    Return the index location of the minimum or maxmium values of all the input values along the axes. 
+<pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlargminmaxoptions"><code><c- g>MLArgMinMaxOptions</c-></code></dfn> {
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-default="null" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlargminmaxoptions-axes" id="ref-for-dom-mlargminmaxoptions-axes"><c- g>axes</c-></a> = <c- b>null</c->;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean"><c- b>boolean</c-></a> <a class="idl-code" data-default="false" data-link-type="dict-member" data-type="boolean " href="#dom-mlargminmaxoptions-keepdimensions" id="ref-for-dom-mlargminmaxoptions-keepdimensions"><c- g>keepDimensions</c-></a> = <c- b>false</c->;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean①"><c- b>boolean</c-></a> <a class="idl-code" data-default="false" data-link-type="dict-member" data-type="boolean " href="#dom-mlargminmaxoptions-selectlastindex" id="ref-for-dom-mlargminmaxoptions-selectlastindex"><c- g>selectLastIndex</c-></a> = <c- b>false</c->;
+};
+
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder①⑨"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑤"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-argmin" id="ref-for-dom-mlgraphbuilder-argmin"><c- g>argMin</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑥"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/argMin(input, options), MLGraphBuilder/argMin(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-argmin-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-argmin-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlargminmaxoptions" id="ref-for-dictdef-mlargminmaxoptions"><c- n>MLArgMinMaxOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/argMin(input, options), MLGraphBuilder/argMin(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-argmin-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-argmin-input-options-options"></a></dfn> = {});
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑦"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-argmax" id="ref-for-dom-mlgraphbuilder-argmax"><c- g>argMax</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑧"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/argMax(input, options), MLGraphBuilder/argMax(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-argmax-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-argmax-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlargminmaxoptions" id="ref-for-dictdef-mlargminmaxoptions①"><c- n>MLArgMinMaxOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/argMax(input, options), MLGraphBuilder/argMax(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-argmax-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-argmax-input-options-options"></a></dfn> = {});
+};
+</pre>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlargminmaxoptions" id="ref-for-dictdef-mlargminmaxoptions②">MLArgMinMaxOptions</a></code> has the following members:</p>
+   <dl>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLArgMinMaxOptions" data-dfn-type="dict-member" data-export id="dom-mlargminmaxoptions-axes"><code>axes</code></dfn>, <span> of type <code class="idl-code">sequence&lt;unsigned long></code>, defaulting to <code>null</code></span>
+    <dd data-md>
+     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①">unsigned long</a></code>. The dimensions to reduce. The values in the sequence must be in the range [0, N-1] where N is the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank">rank</a> of the input tensor. If not present, all dimensions are reduced.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLArgMinMaxOptions" data-dfn-type="dict-member" data-export id="dom-mlargminmaxoptions-keepdimensions"><code>keepDimensions</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean②">boolean</a>, defaulting to <code>false</code></span>
+    <dd data-md>
+     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean③">boolean</a></code>. If true, retains reduced dimensions with <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size">size</a> 1. The default value is false.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLArgMinMaxOptions" data-dfn-type="dict-member" data-export id="dom-mlargminmaxoptions-selectlastindex"><code>selectLastIndex</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean④">boolean</a>, defaulting to <code>false</code></span>
+    <dd data-md>
+     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean⑤">boolean</a></code>. If true, select the last index instead of the first found along the axes. The default value is false.</p>
+   </dl>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>name</em>: a <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string②">string</a> name of the input.</p>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑨">MLOperand</a></code>. The input N-D tensor.</p>
      <li data-md>
-      <p><em>descriptor</em>: an <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor⑨">MLOperandDescriptor</a></code> object.</p>
+      <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlargminmaxoptions" id="ref-for-dictdef-mlargminmaxoptions③">MLArgMinMaxOptions</a></code>. The optional parameters of the operation.</p>
     </ul>
-     <strong>Returns:</strong>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑨">MLOperand</a></code> object. 
+    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⓪">MLOperand</a></code>. The N-D tensor of the reduced shape. The values must be of type "int64" in the range [0, N-1] where N is the corresponding size of each of the input dimensions specified by options.axes.</p>
    </div>
-   <details class="algorithm" data-algorithm="input(name, descriptor)" data-algorithm-for="MLGraphBuilder" open>
-    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-input"><code>input(<var>name</var>, <var>descriptor</var>)</code></dfn> method steps are: </summary>
+   <details class="algorithm" data-algorithm="argminmax-op" data-algorithm-for="MLGraphBuilder" open>
+    <summary> To <dfn class="dfn-paneled" data-dfn-for="MLGraphBuilder" data-dfn-type="dfn" data-lt="argminmax-op" data-noexport id="mlgraphbuilder-argminmax-op">create argMin/argMax operation</dfn> given <var>op</var>, <var>input</var> and <var>options</var>, run the following steps: </summary>
+    <div class="algorithm-steps">
+     <ol>
+      <li data-md>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑤">Assert</a>: <var>op</var> is one of "argMin", "argMax".</p>
+      <li data-md>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑥">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②①">MLOperand</a></code>.</p>
+      <li data-md>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlargminmaxoptions-axes" id="ref-for-dom-mlargminmaxoptions-axes①">axes</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑤">exists</a>, if any of its elements is not in <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#the-range" id="ref-for-the-range">the range</a> 0 to the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank①">rank</a> of <var>input</var>, exclusive, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②②">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑦">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException②⑥">DOMException</a></code>.</p>
+      <li data-md>
+       <p>Let <var>outputShape</var> be the result of invoking the underlying implementation for calculating reduction output dimensions, given <var>options</var>.</p>
+      <li data-md>
+       <p>Let <var>desc</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor⑥">MLOperandDescriptor</a></code>.</p>
+      <li data-md>
+       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①">dataType</a></code> to "int64".</p>
+      <li data-md>
+       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①">dimensions</a></code> to <var>outputShape</var>.</p>
+      <li data-md>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②③">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror①⓪">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException②⑦">DOMException</a></code>.</p>
+       <ol>
+        <li data-md>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this⑤">this</a> and <var>desc</var>.</p>
+        <li data-md>
+         <p>Make a request to the underlying platform to:</p>
+         <ol>
+          <li data-md>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined③">implementation-defined</a> platform operator for the <var>op</var> argMin or argMax operation, given <var>options</var>.</p>
+          <li data-md>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot">[[operator]]</a></code>.</p>
+          <li data-md>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined④">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+          <li data-md>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot">[[operand]]</a></code>.</p>
+         </ol>
+        <li data-md>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+        <li data-md>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot②">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+       </ol>
+      <li data-md>
+       <p>Return <var>output</var>.</p>
+     </ol>
+    </div>
+   </details>
+   <details open>
+    <summary> The following argMin/argMax algorithms are supported. </summary>
+    <div class="algorithm" data-algorithm="argMin(input, options)" data-algorithm-for="MLGraphBuilder">
+      The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export data-lt="argMin(input, options)|argMin(input)" id="dom-mlgraphbuilder-argmin"><code>argMin(<var>input</var>, <var>options</var>)</code></dfn> method steps are: 
+     <ol>
+      <li data-md>
+       <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-argminmax-op" id="ref-for-mlgraphbuilder-argminmax-op"> create argMin/argMax operation</a> given "argMin", <var>input</var> and <var>options</var>.</p>
+       <ol>
+        <li data-md>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②④">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑤">throw</a> the error.</p>
+       </ol>
+      <li data-md>
+       <p>Return <var>output</var>.</p>
+     </ol>
+    </div>
+    <div class="algorithm" data-algorithm="argMax(input, options)" data-algorithm-for="MLGraphBuilder">
+      The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export data-lt="argMax(input, options)|argMax(input)" id="dom-mlgraphbuilder-argmax"><code>argMax(<var>input</var>, <var>options</var>)</code></dfn> method steps are: 
+     <ol>
+      <li data-md>
+       <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-argminmax-op" id="ref-for-mlgraphbuilder-argminmax-op①"> create argMin/argMax operation</a> given "argMax", <var>input</var> and <var>options</var>.</p>
+       <ol>
+        <li data-md>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑥">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑦">throw</a> the error.</p>
+       </ol>
+      <li data-md>
+       <p>Return <var>output</var>.</p>
+     </ol>
+    </div>
+   </details>
+   <h4 class="heading settled" data-level="7.7.3" id="api-mlgraphbuilder-batchnorm"><span class="secno">7.7.3. </span><span class="content">batchNormalization</span><a class="self-link" href="#api-mlgraphbuilder-batchnorm"></a></h4>
+    Normalize the values of the input tensor using <a data-link-type="biblio" href="#biblio-batch-normalization" title="Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift">[Batch-Normalization]</a>. For each input feature, the mean and variance values of that feature are computed across all the samples in the batch dimension while the model is trained. These mean and variance values are then subsequently given to this operation during model inference. 
+<pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlbatchnormalizationoptions"><code><c- g>MLBatchNormalizationOptions</c-></code></dfn> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②②"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlbatchnormalizationoptions-scale" id="ref-for-dom-mlbatchnormalizationoptions-scale"><c- g>scale</c-></a>;
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②③"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlbatchnormalizationoptions-bias" id="ref-for-dom-mlbatchnormalizationoptions-bias"><c- g>bias</c-></a>;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long②"><c- b>unsigned</c-> <c- b>long</c-></a> <a class="idl-code" data-default="1" data-link-type="dict-member" data-type="unsigned long " href="#dom-mlbatchnormalizationoptions-axis" id="ref-for-dom-mlbatchnormalizationoptions-axis"><c- g>axis</c-></a> = 1;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float"><c- b>float</c-></a> <a class="idl-code" data-default="1e-5" data-link-type="dict-member" data-type="float " href="#dom-mlbatchnormalizationoptions-epsilon" id="ref-for-dom-mlbatchnormalizationoptions-epsilon"><c- g>epsilon</c-></a> = 1e-5;
+  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation⑨"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLActivation " href="#dom-mlbatchnormalizationoptions-activation" id="ref-for-dom-mlbatchnormalizationoptions-activation"><c- g>activation</c-></a>;
+};
+
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder②⓪"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②④"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-batchnormalization" id="ref-for-dom-mlgraphbuilder-batchnormalization"><c- g>batchNormalization</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑤"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/batchNormalization(input, mean, variance, options), MLGraphBuilder/batchNormalization(input, mean, variance)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-batchnormalization-input-mean-variance-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-batchnormalization-input-mean-variance-options-input"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑥"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/batchNormalization(input, mean, variance, options), MLGraphBuilder/batchNormalization(input, mean, variance)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-batchnormalization-input-mean-variance-options-mean"><code><c- g>mean</c-></code><a class="self-link" href="#dom-mlgraphbuilder-batchnormalization-input-mean-variance-options-mean"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑦"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/batchNormalization(input, mean, variance, options), MLGraphBuilder/batchNormalization(input, mean, variance)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-batchnormalization-input-mean-variance-options-variance"><code><c- g>variance</c-></code><a class="self-link" href="#dom-mlgraphbuilder-batchnormalization-input-mean-variance-options-variance"></a></dfn>,
+                             <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlbatchnormalizationoptions" id="ref-for-dictdef-mlbatchnormalizationoptions"><c- n>MLBatchNormalizationOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/batchNormalization(input, mean, variance, options), MLGraphBuilder/batchNormalization(input, mean, variance)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-batchnormalization-input-mean-variance-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-batchnormalization-input-mean-variance-options-options"></a></dfn> = {});
+};
+</pre>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlbatchnormalizationoptions" id="ref-for-dictdef-mlbatchnormalizationoptions①">MLBatchNormalizationOptions</a></code> has the following members:</p>
+   <dl>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLBatchNormalizationOptions" data-dfn-type="dict-member" data-export id="dom-mlbatchnormalizationoptions-scale"><code>scale</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑧">MLOperand</a></span>
+    <dd data-md>
+     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑨">MLOperand</a></code>. Specifies the 1-D tensor of the scaling values whose is equal to the size of the input dimension denoted by <code class="idl"><a data-link-type="idl" href="#dom-mlbatchnormalizationoptions-axis" id="ref-for-dom-mlbatchnormalizationoptions-axis①">axis</a></code>.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLBatchNormalizationOptions" data-dfn-type="dict-member" data-export id="dom-mlbatchnormalizationoptions-bias"><code>bias</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⓪">MLOperand</a></span>
+    <dd data-md>
+     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③①">MLOperand</a></code>. Specifies the 1-D tensor of the bias values whose <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size①">size</a> is equal to the size of the input dimension denoted by <code class="idl"><a data-link-type="idl" href="#dom-mlbatchnormalizationoptions-axis" id="ref-for-dom-mlbatchnormalizationoptions-axis②">axis</a></code>.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLBatchNormalizationOptions" data-dfn-type="dict-member" data-export id="dom-mlbatchnormalizationoptions-axis"><code>axis</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③">unsigned long</a>, defaulting to <code>1</code></span>
+    <dd data-md>
+     <p>An <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long④">unsigned long</a></code> scalar. Specifies the index to the feature count dimension of the input shape for which the mean and variance values are. Its value must be in the range [0, N-1] where N is the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank②">rank</a> of the input tensor. The default value is 1, corresponding to the channel (<em>"c"</em>) dimension in the <em>"nchw"</em> data layout.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLBatchNormalizationOptions" data-dfn-type="dict-member" data-export id="dom-mlbatchnormalizationoptions-epsilon"><code>epsilon</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①">float</a>, defaulting to <code>1e-5</code></span>
+    <dd data-md>
+     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②">float</a></code> scalar. Specifies A small value to prevent computational error due to divide-by-zero.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLBatchNormalizationOptions" data-dfn-type="dict-member" data-export id="dom-mlbatchnormalizationoptions-activation"><code>activation</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation①⓪">MLActivation</a></span>
+    <dd data-md>
+     <p>An <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation①①">MLActivation</a></code> object. Specifies the optional activation function that immediately follows the normalization operation.</p>
+   </dl>
+   <div>
+     <strong>Arguments:</strong> 
+    <ul>
+     <li data-md>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③②">MLOperand</a></code>. The input N-D tensor.</p>
+     <li data-md>
+      <p><em>mean</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③③">MLOperand</a></code>. Specifies the 1-D tensor of the mean values of the input features across the batch. Its <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size②">size</a> is equal to the size of the input dimension denoted by <code class="idl"><a data-link-type="idl" href="#dom-mlbatchnormalizationoptions-axis" id="ref-for-dom-mlbatchnormalizationoptions-axis③">axis</a></code>.</p>
+     <li data-md>
+      <p><em>variance</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③④">MLOperand</a></code>. The 1-D tensor of the variance values of the input features across the batch whose <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size③">size</a> is equal to the size of the input dimension denoted by <code class="idl"><a data-link-type="idl" href="#dom-mlbatchnormalizationoptions-axis" id="ref-for-dom-mlbatchnormalizationoptions-axis④">axis</a></code>.</p>
+     <li data-md>
+      <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlbatchnormalizationoptions" id="ref-for-dictdef-mlbatchnormalizationoptions②">MLBatchNormalizationOptions</a></code>. Specifies the optional parameters of the operation.</p>
+    </ul>
+    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑤">MLOperand</a></code>. The batch-normalized N-D tensor of the same shape as <em>input</em>.</p>
+   </div>
+   <details class="algorithm" data-algorithm="batchNormalization(input, mean, variance, options)" data-algorithm-for="MLGraphBuilder" open>
+    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export data-lt="batchNormalization(input, mean, variance, options)|batchNormalization(input, mean, variance)" id="dom-mlgraphbuilder-batchnormalization"><code>batchNormalization(<var>input</var>, <var>mean</var>, <var>variance</var>, <var>options</var>)</code></dfn> method steps are: </summary>
     <div class="algorithm-steps">
-     <div class="note" role="note"> The permissions and context validity have been checked by <a href="#api-mlgraphbuilder-constructor">§ 7.6.1 The MLGraphBuilder constructor</a> steps. </div>
      <ol>
       <li data-md>
-       <p>If <var>name</var> is empty, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②②">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror②">TypeError</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑦">Assert</a>: the type of <var>input</var>, <var>mean</var> and <var>variance</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑥">MLOperand</a></code>.</p>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑨">Assert</a>: the type of <var>descriptor</var> is <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①⓪">MLOperandDescriptor</a></code>.</p>
+       <p>If <var>options</var>.axis is not in <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#the-range" id="ref-for-the-range①">the range</a> 0 to the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank③">rank</a> of <var>input</var>, exclusive, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑧">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror②">TypeError</a></code>.</p>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert①⓪">Assert</a>: If <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑤">dimensions</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑦">exist</a>, then <var>descriptor</var> defines a scalar input.</p>
+       <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size④">size</a> of <var>mean</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②">dimensions</a></code> is not 1, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑨">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror③">TypeError</a></code>.</p>
       <li data-md>
-       <p>If <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑥">dimensions</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑧">exists</a>:</p>
+       <p>If <var>mean</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③">dimensions</a></code>[0] is not equal to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot②">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions④">dimensions</a></code>[<var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlbatchnormalizationoptions-axis" id="ref-for-dom-mlbatchnormalizationoptions-axis⑤">axis</a></code>], then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③⓪">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror④">TypeError</a></code>.</p>
+      <li data-md>
+       <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size⑤">size</a> of <var>variance</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot③">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑤">dimensions</a></code> is not 1, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③①">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror⑤">TypeError</a></code>.</p>
+      <li data-md>
+       <p>If <var>variance</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot④">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑥">dimensions</a></code>[0] is not equal to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑤">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑦">dimensions</a></code>[<var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlbatchnormalizationoptions-axis" id="ref-for-dom-mlbatchnormalizationoptions-axis⑥">axis</a></code>], then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③②">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror⑥">TypeError</a></code>.</p>
+      <li data-md>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlbatchnormalizationoptions-scale" id="ref-for-dom-mlbatchnormalizationoptions-scale①">scale</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑥">exists</a>:</p>
        <ol>
         <li data-md>
-         <p>If the <a data-link-type="dfn" href="#check-dimensions" id="ref-for-check-dimensions①">check dimensions</a> steps given <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype③">dataType</a></code> and <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑦">dimensions</a></code> return false, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②③">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑦">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException②⑥">DOMException</a></code>.</p>
+         <p>If its <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size⑥">size</a> is not 1, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③③">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror⑦">TypeError</a></code>.</p>
         <li data-md>
-         <p>If the <a data-link-type="dfn" href="#mloperanddescriptor-byte-length" id="ref-for-mloperanddescriptor-byte-length④">byte length</a> of <var>descriptor</var> is not supported by the underlying platform, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②④">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑧">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException②⑦">DOMException</a></code>.</p>
+         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlbatchnormalizationoptions-scale" id="ref-for-dom-mlbatchnormalizationoptions-scale②">scale</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑥">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑧">dimensions</a></code>[0] is not equal to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑦">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑨">dimensions</a></code>[<var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlbatchnormalizationoptions-axis" id="ref-for-dom-mlbatchnormalizationoptions-axis⑦">axis</a></code>], then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③④">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror⑧">TypeError</a></code>.</p>
        </ol>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑤">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror①⓪">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException②⑧">DOMException</a></code>.</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlbatchnormalizationoptions-bias" id="ref-for-dom-mlbatchnormalizationoptions-bias①">bias</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑦">exists</a>:</p>
        <ol>
         <li data-md>
-         <p>Let <var>operand</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this⑤">this</a> and <var>descriptor</var>.</p>
+         <p>If its <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size⑦">size</a> is not 1, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③⑤">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror⑨">TypeError</a></code>.</p>
+        <li data-md>
+         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlbatchnormalizationoptions-bias" id="ref-for-dom-mlbatchnormalizationoptions-bias②">bias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑧">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⓪">dimensions</a></code>[0] is not equal to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑨">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①①">dimensions</a></code>[<var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlbatchnormalizationoptions-axis" id="ref-for-dom-mlbatchnormalizationoptions-axis⑧">axis</a></code>], then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③⑥">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror①⓪">TypeError</a></code>.</p>
+       </ol>
+      <li data-md>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③⑦">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror①①">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException②⑧">DOMException</a></code>.</p>
+       <ol>
         <li data-md>
-         <p>Set <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-name-slot" id="ref-for-dom-mloperand-name-slot③">[[name]]</a></code> to <var>name</var>.</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand①">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this⑥">this</a> and <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①⓪">[[descriptor]]</a></code>, that may use the same underlying data as <var>input</var>.</p>
         <li data-md>
-         <p>Make a request to the underlying platform to:</p>
+         <p>Make a request to the underlying platform to initialize the batch normalization:</p>
          <ol>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑤">implementation-defined</a> platform input operand <var>operandImpl</var> given <var>descriptor</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑤">implementation-defined</a> platform operator <var>batchNormImpl</var> for this method, given <var>input</var>, <var>mean</var>, <var>variance</var> and <var>options</var>.</p>
           <li data-md>
-           <p>Store a reference of <var>operandImpl</var> in <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot">[[operand]]</a></code>.</p>
+           <p>If <var>options</var>.activation <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑧">exists</a>,register it as activation to <var>batchNormImpl</var>.</p>
           <li data-md>
-           <p>Register <var>operand</var> as an input.</p>
+           <p>Connect <var>output</var> as output to <var>batchNormImpl</var>.</p>
          </ol>
        </ol>
       <li data-md>
-       <p>Return <var>operand</var>.</p>
+       <p>Return <var>output</var>.</p>
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.6.3" id="api-mlgraphbuilder-build"><span class="secno">7.6.3. </span><span class="content">The build() method</span><a class="self-link" href="#api-mlgraphbuilder-build"></a></h4>
+   <div class="note" role="note">
+    <details open>
+     <summary> The behavior of this operation when the input tensor is 4-D of the <em>"nchw"</em> layout and the activation is of operator type <em>relu</em> can be generically emulated from the usage of other operations as follow. However, user agents typically have a more efficient implementation for it, therefore its usage is encouraged from the performance standpoint. </summary>
+<pre class="highlight"><c- a>const</c-> shape <c- o>=</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-><c- kc>null</c-><c- p>,</c-><c- mf>1</c-><c- p>,</c-><c- mf>1</c-><c- p>];</c->
+<c- k>return</c-> builder<c- p>.</c->relu<c- p>(</c->
+  builder<c- p>.</c->add<c- p>(</c->
+    builder<c- p>.</c->mul<c- p>(</c->
+      builder<c- p>.</c->reshape<c- p>(</c->options<c- p>.</c->scale<c- p>,</c-> shape<c- p>),</c->
+      builder<c- p>.</c->div<c- p>(</c->
+        builder<c- p>.</c->sub<c- p>(</c->input<c- p>,</c-> builder<c- p>.</c->reshape<c- p>(</c->mean<c- p>,</c-> shape<c- p>)),</c->
+        builder<c- p>.</c->sqrt<c- p>(</c->builder<c- p>.</c->add<c- p>(</c->builder<c- p>.</c->reshape<c- p>(</c->variance<c- p>,</c-> shape<c- p>),</c-> builder<c- p>.</c->constant<c- p>(</c->options<c- p>.</c->epsilon<c- p>)))</c->
+        <c- p>)),</c->
+    builder<c- p>.</c->reshape<c- p>(</c->options<c- p>.</c->bias<c- p>,</c-> shape<c- p>)));</c->
+</pre>
+    </details>
+   </div>
+   <h4 class="heading settled" data-level="7.7.4" id="api-mlgraphbuilder-build"><span class="secno">7.7.4. </span><span class="content">build</span><a class="self-link" href="#api-mlgraphbuilder-build"></a></h4>
     Build a composed graph up to a given output operand into a computational graph, asynchronously or synchronously. 
-   <h5 class="heading settled" data-level="7.6.3.1" id="api-mlgraphbuilder-build-outputs"><span class="secno">7.6.3.1. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-build" id="ref-for-dom-mlgraphbuilder-build③">build(outputs)</a></code> method</span><a class="self-link" href="#api-mlgraphbuilder-build-outputs"></a></h5>
+   <h5 class="heading settled" data-level="7.7.4.1" id="api-mlgraphbuilder-build-outputs"><span class="secno">7.7.4.1. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-build" id="ref-for-dom-mlgraphbuilder-build③">build(outputs)</a></code></span><a class="self-link" href="#api-mlgraphbuilder-build-outputs"></a></h5>
    <details class="algorithm" data-algorithm="build(outputs)" data-algorithm-for="MLGraphBuilder" open>
     <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-build"><code>build(<var>outputs</var>)</code></dfn> method steps are: </summary>
     <div class="algorithm-steps">
-     <div class="note" role="note"> The permissions and context validity have been checked by <a href="#api-mlgraphbuilder-constructor">§ 7.6.1 The MLGraphBuilder constructor</a> steps. </div>
+     <div class="note" role="note"> The permissions and context validity have been checked by <a href="#api-mlgraphbuilder-constructor">§ 7.7.1 MLGraphBuilder constructor</a> steps. </div>
      <ol>
       <li data-md>
        <p>Let <var>promise</var> be <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#a-new-promise" id="ref-for-a-new-promise⑤">a new promise</a>.</p>
@@ -2581,39 +2615,39 @@ <h5 class="heading settled" data-level="7.6.3.1" id="api-mlgraphbuilder-build-ou
        <p>Return the result of invoking <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-buildsync" id="ref-for-dom-mlgraphbuilder-buildsync④">buildSync(outputs)</a></code> given <var>outputs</var>.</p>
        <ol>
         <li data-md>
-         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑥">throws</a>, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑦">throw</a> the error.</p>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③⑧">throws</a>, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③⑨">throw</a> the error.</p>
        </ol>
      </ol>
     </div>
    </details>
-   <h5 class="heading settled" data-level="7.6.3.2" id="api-mlgraphbuilder-buildsync-outputs"><span class="secno">7.6.3.2. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-buildsync" id="ref-for-dom-mlgraphbuilder-buildsync⑤">buildSync(outputs)</a></code> method</span><a class="self-link" href="#api-mlgraphbuilder-buildsync-outputs"></a></h5>
+   <h5 class="heading settled" data-level="7.7.4.2" id="api-mlgraphbuilder-buildsync-outputs"><span class="secno">7.7.4.2. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-buildsync" id="ref-for-dom-mlgraphbuilder-buildsync⑤">buildSync(outputs)</a></code></span><a class="self-link" href="#api-mlgraphbuilder-buildsync-outputs"></a></h5>
    <details class="algorithm" data-algorithm="buildSync(outputs)" data-algorithm-for="MLGraphBuilder" open>
     <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-buildsync"><code>buildSync(<var>outputs</var>)</code></dfn> method steps are: </summary>
     <div class="algorithm-steps">
-     <div class="note" role="note"> The permissions and context validity have been checked by <a href="#api-mlgraphbuilder-constructor">§ 7.6.1 The MLGraphBuilder constructor</a> steps. </div>
+     <div class="note" role="note"> The permissions and context validity have been checked by <a href="#api-mlgraphbuilder-constructor">§ 7.7.1 MLGraphBuilder constructor</a> steps. </div>
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert①①">Assert</a>: the type of <var>outputs</var> is <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedoperands" id="ref-for-typedefdef-mlnamedoperands②">MLNamedOperands</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑧">Assert</a>: the type of <var>outputs</var> is <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedoperands" id="ref-for-typedefdef-mlnamedoperands②">MLNamedOperands</a></code>.</p>
       <li data-md>
-       <p>If <var>outputs</var> is empty, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑧">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror③">TypeError</a></code>.</p>
+       <p>If <var>outputs</var> is empty, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw④⓪">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror①①">TypeError</a></code>.</p>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate⑨">For each</a> <var>element</var> in <var>outputs</var>:</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate⑧">For each</a> <var>element</var> in <var>outputs</var>:</p>
        <ol>
         <li data-md>
-         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert①②">Assert</a>: the type of <var>element</var>.key is <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string③">string</a>.</p>
+         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑨">Assert</a>: the type of <var>element</var>.key is <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string①">string</a>.</p>
         <li data-md>
-         <p>If <var>element</var>.key is empty, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑨">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror④">TypeError</a></code>.</p>
+         <p>If <var>element</var>.key is empty, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw④①">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror①②">TypeError</a></code>.</p>
         <li data-md>
-         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert①③">Assert</a>: the type of <var>element</var>.value is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⓪">MLOperand</a></code>.</p>
+         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert①⓪">Assert</a>: the type of <var>element</var>.value is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑦">MLOperand</a></code>.</p>
        </ol>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③⓪">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror①①">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException②⑨">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw④②">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror①②">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException②⑨">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>graph</var> be a new <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph②⑦">MLGraph</a></code>:</p>
+         <p>Let <var>graph</var> be a new <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph②⑧">MLGraph</a></code>:</p>
          <ol>
           <li data-md>
-           <p>Set <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-context-slot" id="ref-for-dom-mlgraph-context-slot②">[[context]]</a></code> to <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this⑥">this</a>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-context-slot" id="ref-for-dom-mlgraphbuilder-context-slot①">[[context]]</a></code>.</p>
+           <p>Set <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-context-slot" id="ref-for-dom-mlgraph-context-slot②">[[context]]</a></code> to <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this⑦">this</a>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-context-slot" id="ref-for-dom-mlgraphbuilder-context-slot①">[[context]]</a></code>.</p>
          </ol>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
@@ -2627,17 +2661,17 @@ <h5 class="heading settled" data-level="7.6.3.2" id="api-mlgraphbuilder-buildsyn
          <p>Make a request to the underlying platform to initialize the graph:</p>
          <ol>
           <li data-md>
-           <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate①⓪">For each</a> <var>operand</var> in <var>outputs</var>:</p>
+           <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate⑨">For each</a> <var>operand</var> in <var>outputs</var>:</p>
            <ol>
             <li data-md>
-             <p>If <a data-link-type="dfn" href="#mloperand-validate-mloperand" id="ref-for-mloperand-validate-mloperand">validating MLOperand</a> given <var>operand</var> and <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this⑦">this</a> returns false, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③①">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror⑤">TypeError</a></code>.</p>
+             <p>If <a data-link-type="dfn" href="#mloperand-validate-mloperand" id="ref-for-mloperand-validate-mloperand">validating MLOperand</a> given <var>operand</var> and <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this⑧">this</a> returns false, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw④③">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror①③">TypeError</a></code>.</p>
             <li data-md>
              <p>If <var>operand</var> was created as an input by the underlying platform:</p>
              <ol>
               <li data-md>
-               <p>If <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-name-slot" id="ref-for-dom-mloperand-name-slot④">[[name]]</a></code>] is not unique for <var>graphImpl</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③②">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror⑥">TypeError</a></code>.</p>
+               <p>If <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-name-slot" id="ref-for-dom-mloperand-name-slot">[[name]]</a></code>] is not unique for <var>graphImpl</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw④④">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror①④">TypeError</a></code>.</p>
               <li data-md>
-               <p>Add <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑤">[[descriptor]]</a></code> to <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-inputdescriptors-slot" id="ref-for-dom-mlgraph-inputdescriptors-slot⑤">[[inputDescriptors]]</a></code>[<var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-name-slot" id="ref-for-dom-mloperand-name-slot⑤">[[name]]</a></code>].</p>
+               <p>Add <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①①">[[descriptor]]</a></code> to <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-inputdescriptors-slot" id="ref-for-dom-mlgraph-inputdescriptors-slot⑤">[[inputDescriptors]]</a></code>[<var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-name-slot" id="ref-for-dom-mloperand-name-slot①">[[name]]</a></code>].</p>
              </ol>
             <li data-md>
              <p>If <var>operand</var> was created as a constant by the underlying platform:</p>
@@ -2646,9 +2680,9 @@ <h5 class="heading settled" data-level="7.6.3.2" id="api-mlgraphbuilder-buildsyn
                <p>Implementations MAY preprocess and optimize the tensor data of <var>operand</var> for the underlying platform.</p>
              </ol>
             <li data-md>
-             <p>Register <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①">[[operand]]</a></code> in <var>graphImpl</var> as graph output.</p>
+             <p>Register <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot③">[[operand]]</a></code> in <var>graphImpl</var> as graph output.</p>
             <li data-md>
-             <p>Register <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot">[[operator]]</a></code> to <var>graphImpl</var>.</p>
+             <p>Register <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot①">[[operator]]</a></code> to <var>graphImpl</var>.</p>
            </ol>
          </ol>
        </ol>
@@ -2657,229 +2691,67 @@ <h5 class="heading settled" data-level="7.6.3.2" id="api-mlgraphbuilder-buildsyn
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.6.4" id="api-mlgraphbuilder-constant-method"><span class="secno">7.6.4. </span><span class="content">The constant() method</span><a class="self-link" href="#api-mlgraphbuilder-constant-method"></a></h4>
-    Create a constant <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③①">MLOperand</a></code> that can be used in <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder②②">MLGraphBuilder</a></code> methods. 
-   <h5 class="heading settled" data-level="7.6.4.1" id="api-mlgraphbuilder-constant"><span class="secno">7.6.4.1. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-constant" id="ref-for-dom-mlgraphbuilder-constant②">constant(descriptor, bufferView)</a></code> method</span><a class="self-link" href="#api-mlgraphbuilder-constant"></a></h5>
+   <h4 class="heading settled" data-level="7.7.5" id="api-mlgraphbuilder-cast"><span class="secno">7.7.5. </span><span class="content">cast</span><a class="self-link" href="#api-mlgraphbuilder-cast"></a></h4>
+    Cast each element in the input tensor to the target data type. 
+<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder②①"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑧"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-cast" id="ref-for-dom-mlgraphbuilder-cast"><c- g>cast</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑨"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/cast(input, type)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-cast-input-type-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-cast-input-type-input"></a></dfn>, <a data-link-type="idl-name" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype②"><c- n>MLOperandDataType</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/cast(input, type)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-cast-input-type-type"><code><c- g>type</c-></code><a class="self-link" href="#dom-mlgraphbuilder-cast-input-type-type"></a></dfn>);
+};
+</pre>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>descriptor</em>: an <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①①">MLOperandDescriptor</a></code> object</p>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④⓪">MLOperand</a></code>. The input N-D tensor.</p>
      <li data-md>
-      <p><em>bufferView</em>: an <code class="idl"><a data-link-type="idl" href="#typedefdef-mlbufferview" id="ref-for-typedefdef-mlbufferview②">MLBufferView</a></code></p>
+      <p><em>type</em>: an <code class="idl"><a data-link-type="idl" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype③">MLOperandDataType</a></code>. The target data type.</p>
     </ul>
-     <strong>Returns:</strong>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③②">MLOperand</a></code> object. 
+    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④①">MLOperand</a></code>. The N-D tensor of the same shape as <em>input</em> with each element casted to the target data type.</p>
    </div>
-   <details class="algorithm" data-algorithm="constant(descriptor, bufferView)" data-algorithm-for="MLGraphBuilder" open>
-    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-constant"><code>constant(<var>descriptor</var>, <var>bufferView</var>)</code></dfn> method steps are: </summary>
+   <details class="algorithm" data-algorithm="cast(input, type)" data-algorithm-for="MLGraphBuilder" open>
+    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-cast"><code>cast(<var>input</var>, <var>type</var>)</code></dfn> method steps are: </summary>
     <div class="algorithm-steps">
-     <div class="note" role="note"> The permissions and context validity have been checked by <a href="#api-mlgraphbuilder-constructor">§ 7.6.1 The MLGraphBuilder constructor</a> steps. </div>
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert①④">Assert</a>: the type of <var>descriptor</var> is <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①②">MLOperandDescriptor</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert①①">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④②">MLOperand</a></code>.</p>
       <li data-md>
-       <p>If the <a data-link-type="dfn" href="#mloperanddescriptor-byte-length" id="ref-for-mloperanddescriptor-byte-length⑤">byte length</a> of <var>descriptor</var> is not supported by the underlying platform, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③③">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑨">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException③⓪">DOMException</a></code>.</p>
-      <li data-md>
-       <p>If the <a data-link-type="dfn" href="#check-dimensions" id="ref-for-check-dimensions②">check dimensions</a> steps given <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype④">dataType</a></code> and <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑧">dimensions</a></code> return false, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③④">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror①⓪">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException③①">DOMException</a></code>.</p>
-      <li data-md>
-       <p>If <a data-link-type="dfn" href="#validate-buffer-with-descriptor" id="ref-for-validate-buffer-with-descriptor①">validating buffer with descriptor</a> given <var>bufferView</var> and <var>descriptor</var> returns false, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③⑤">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror⑦">TypeError</a></code>.</p>
-      <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③⑥">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror①②">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException③②">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw④⑤">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror①③">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException③⓪">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>operand</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand①">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this⑧">this</a> and <var>descriptor</var>.</p>
+         <p>Let <var>operand</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand②">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this⑨">this</a>, <var>input</var> and <var>type</var>.</p>
         <li data-md>
-         <p>Let <var>bytes</var> be the result of invoking the <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-get-buffer-source-copy" id="ref-for-dfn-get-buffer-source-copy">get a copy of the bytes held by the buffer source</a> steps given <var>bufferView</var>.</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand">copying an MLOperand</a> given <var>input</var>.</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑦">implementation-defined</a> platform operand <var>constantImpl</var> to represent a constant, given <var>descriptor</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑦">implementation-defined</a> platform operator <var>castImpl</var> for this method, given <var>type</var>.</p>
           <li data-md>
-           <p>Store a reference of <var>constantImpl</var> in <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot②">[[operand]]</a></code>.</p>
+           <p>Store a reference of <var>castImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot②">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Register <var>operand</var> as a tensor constant with <var>bytes</var> as value.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑧">implementation-defined</a> platform operand <var>outputImpl</var> to represent an output, given <var>output</var> and <var>castImpl</var>.</p>
+          <li data-md>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot④">[[operand]]</a></code>.</p>
          </ol>
-       </ol>
-      <li data-md>
-       <p>Return <var>operand</var>.</p>
-     </ol>
-    </div>
-   </details>
-   <h5 class="heading settled" data-level="7.6.4.2" id="api-mlgraphbuilder-constant-value-datatype"><span class="secno">7.6.4.2. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-constant-value-datatype" id="ref-for-dom-mlgraphbuilder-constant-value-datatype①">constant(value, dataType)</a></code> method</span><a class="self-link" href="#api-mlgraphbuilder-constant-value-datatype"></a></h5>
-   <div>
-     <strong>Arguments:</strong> 
-    <ul>
-     <li data-md>
-      <p><em>value</em>: a number</p>
-     <li data-md>
-      <p><em>dataType</em>: an optional <code class="idl"><a data-link-type="idl" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype③">MLOperandDataType</a></code>, by default <em>"float32"</em>.</p>
-    </ul>
-     <strong>Returns:</strong>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③③">MLOperand</a></code> object. 
-   </div>
-   <details class="algorithm" data-algorithm="constant(value, dataType)" data-algorithm-for="MLGraphBuilder" open>
-    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export data-lt="constant(value, dataType)|constant(value)" id="dom-mlgraphbuilder-constant-value-datatype"><code>constant(<var>value</var>, <var>dataType</var>)</code></dfn> method steps are: </summary>
-    <div class="algorithm-steps">
-     <div class="note" role="note"> The permissions and context validity have been checked by <a href="#api-mlgraphbuilder-constructor">§ 7.6.1 The MLGraphBuilder constructor</a> steps. </div>
-     <ol>
-      <li data-md>
-       <p>Let <var>descriptor</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①③">MLOperandDescriptor</a></code>.</p>
-       <ol>
-        <li data-md>
-         <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype⑤">dataType</a></code> to <var>dataType</var>.</p>
-        <li data-md>
-         <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑨">dimensions</a></code> to <code>undefined</code>.</p>
-         <div class="note" role="note"> In the case of a scalar constant, <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⓪">dimensions</a></code> is ignored. </div>
-       </ol>
-      <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③⑦">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror①③">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException③③">DOMException</a></code>.</p>
-       <ol>
         <li data-md>
-         <p>Let <var>operand</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand②">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this⑨">this</a> and <var>descriptor</var>.</p>
+         <p>Connect <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑤">[[operand]]</a></code> as input to <var>castImpl</var>.</p>
         <li data-md>
-         <p>Make a request to the underlying platform to:</p>
-         <ol>
-          <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑧">implementation-defined</a> platform operand <var>constantImpl</var> to represent a constant, given <var>descriptor</var>.</p>
-          <li data-md>
-           <p>Store a reference of <var>constantImpl</var> in <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot③">[[operand]]</a></code>.</p>
-          <li data-md>
-           <p>Register <var>operand</var> as a scalar constant with <var>value</var> as value.</p>
-         </ol>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑥">[[operand]]</a></code> as output to <var>castImpl</var>.</p>
        </ol>
       <li data-md>
-       <p>Return <var>operand</var>.</p>
+       <p>Return <var>output</var>.</p>
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.6.5" id="api-mlgraphbuilder-batchnorm"><span class="secno">7.6.5. </span><span class="content">The batchNormalization() method</span><a class="self-link" href="#api-mlgraphbuilder-batchnorm"></a></h4>
-    Normalize the tensor values of input features across the batch dimension using <a data-link-type="biblio" href="#biblio-batch-normalization" title="Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift">[Batch-Normalization]</a>. For each input feature, the mean and variance values of that feature supplied in this calculation as parameters are previously computed across the batch dimension of the input during the model training phase of this operation. 
-<pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlbatchnormalizationoptions"><code><c- g>MLBatchNormalizationOptions</c-></code></dfn> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③④"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlbatchnormalizationoptions-scale" id="ref-for-dom-mlbatchnormalizationoptions-scale"><c- g>scale</c-></a>;
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑤"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlbatchnormalizationoptions-bias" id="ref-for-dom-mlbatchnormalizationoptions-bias"><c- g>bias</c-></a>;
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①"><c- b>unsigned</c-> <c- b>long</c-></a> <a class="idl-code" data-default="1" data-link-type="dict-member" data-type="unsigned long " href="#dom-mlbatchnormalizationoptions-axis" id="ref-for-dom-mlbatchnormalizationoptions-axis"><c- g>axis</c-></a> = 1;
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float"><c- b>float</c-></a> <a class="idl-code" data-default="1e-5" data-link-type="dict-member" data-type="float " href="#dom-mlbatchnormalizationoptions-epsilon" id="ref-for-dom-mlbatchnormalizationoptions-epsilon"><c- g>epsilon</c-></a> = 1e-5;
-  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation⑧"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLActivation " href="#dom-mlbatchnormalizationoptions-activation" id="ref-for-dom-mlbatchnormalizationoptions-activation"><c- g>activation</c-></a>;
-};
-
-<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder②③"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑥"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-batchnormalization" id="ref-for-dom-mlgraphbuilder-batchnormalization"><c- g>batchNormalization</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑦"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/batchNormalization(input, mean, variance, options), MLGraphBuilder/batchNormalization(input, mean, variance)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-batchnormalization-input-mean-variance-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-batchnormalization-input-mean-variance-options-input"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑧"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/batchNormalization(input, mean, variance, options), MLGraphBuilder/batchNormalization(input, mean, variance)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-batchnormalization-input-mean-variance-options-mean"><code><c- g>mean</c-></code><a class="self-link" href="#dom-mlgraphbuilder-batchnormalization-input-mean-variance-options-mean"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑨"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/batchNormalization(input, mean, variance, options), MLGraphBuilder/batchNormalization(input, mean, variance)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-batchnormalization-input-mean-variance-options-variance"><code><c- g>variance</c-></code><a class="self-link" href="#dom-mlgraphbuilder-batchnormalization-input-mean-variance-options-variance"></a></dfn>,
-                             <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlbatchnormalizationoptions" id="ref-for-dictdef-mlbatchnormalizationoptions"><c- n>MLBatchNormalizationOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/batchNormalization(input, mean, variance, options), MLGraphBuilder/batchNormalization(input, mean, variance)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-batchnormalization-input-mean-variance-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-batchnormalization-input-mean-variance-options-options"></a></dfn> = {});
-};
-</pre>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlbatchnormalizationoptions" id="ref-for-dictdef-mlbatchnormalizationoptions①">MLBatchNormalizationOptions</a></code> has the following members:</p>
-   <dl>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLBatchNormalizationOptions" data-dfn-type="dict-member" data-export id="dom-mlbatchnormalizationoptions-scale"><code>scale</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand④⓪">MLOperand</a></span>
-    <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④①">MLOperand</a></code>. Specifies the 1-D tensor of the scaling values whose is equal to the size of the input dimension denoted by <code class="idl"><a data-link-type="idl" href="#dom-mlbatchnormalizationoptions-axis" id="ref-for-dom-mlbatchnormalizationoptions-axis①">axis</a></code>.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLBatchNormalizationOptions" data-dfn-type="dict-member" data-export id="dom-mlbatchnormalizationoptions-bias"><code>bias</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand④②">MLOperand</a></span>
-    <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④③">MLOperand</a></code>. Specifies the 1-D tensor of the bias values whose <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size③">size</a> is equal to the size of the input dimension denoted by <code class="idl"><a data-link-type="idl" href="#dom-mlbatchnormalizationoptions-axis" id="ref-for-dom-mlbatchnormalizationoptions-axis②">axis</a></code>.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLBatchNormalizationOptions" data-dfn-type="dict-member" data-export id="dom-mlbatchnormalizationoptions-axis"><code>axis</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long②">unsigned long</a>, defaulting to <code>1</code></span>
-    <dd data-md>
-     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long">long</a></code> scalar. Specifies the index to the feature count dimension of the input shape for which the mean and variance values are. Its value must be in the range [0, N-1] where N is the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank">rank</a> of the input tensor. The default value is 1, corresponding to the channel (<em>"c"</em>) dimension in the <em>"nchw"</em> data layout.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLBatchNormalizationOptions" data-dfn-type="dict-member" data-export id="dom-mlbatchnormalizationoptions-epsilon"><code>epsilon</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①">float</a>, defaulting to <code>1e-5</code></span>
-    <dd data-md>
-     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②">float</a></code> scalar. Specifies A small value to prevent computational error due to divide-by-zero.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLBatchNormalizationOptions" data-dfn-type="dict-member" data-export id="dom-mlbatchnormalizationoptions-activation"><code>activation</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation⑨">MLActivation</a></span>
-    <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation①⓪">MLActivation</a></code> object. Specifies the optional activation function that immediately follows the normalization operation.</p>
-   </dl>
-   <div>
-     <strong>Arguments:</strong> 
-    <ul>
-     <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④④">MLOperand</a></code>. The input N-D tensor.</p>
-     <li data-md>
-      <p><em>mean</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④⑤">MLOperand</a></code>. Specifies the 1-D tensor of the mean values of the input features across the batch. Its <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size④">size</a> is equal to the size of the input dimension denoted by <code class="idl"><a data-link-type="idl" href="#dom-mlbatchnormalizationoptions-axis" id="ref-for-dom-mlbatchnormalizationoptions-axis③">axis</a></code>.</p>
-     <li data-md>
-      <p><em>variance</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④⑥">MLOperand</a></code>. The 1-D tensor of the variance values of the input features across the batch whose <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size⑤">size</a> is equal to the size of the input dimension denoted by <code class="idl"><a data-link-type="idl" href="#dom-mlbatchnormalizationoptions-axis" id="ref-for-dom-mlbatchnormalizationoptions-axis④">axis</a></code>.</p>
-     <li data-md>
-      <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlbatchnormalizationoptions" id="ref-for-dictdef-mlbatchnormalizationoptions②">MLBatchNormalizationOptions</a></code>. Specifies the optional parameters of the operation.</p>
-    </ul>
-    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④⑦">MLOperand</a></code>. The batch-normalized N-D tensor of the same shape as <em>input</em>.</p>
-   </div>
-   <details class="algorithm" data-algorithm="batchNormalization(input, mean, variance, options)" data-algorithm-for="MLGraphBuilder" open>
-    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export data-lt="batchNormalization(input, mean, variance, options)|batchNormalization(input, mean, variance)" id="dom-mlgraphbuilder-batchnormalization"><code>batchNormalization(<var>input</var>, <var>mean</var>, <var>variance</var>, <var>options</var>)</code></dfn> method steps are: </summary>
-    <div class="algorithm-steps">
-     <ol>
-      <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert①⑤">Assert</a>: the type of <var>input</var>, <var>mean</var> and <var>variance</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④⑧">MLOperand</a></code>.</p>
-      <li data-md>
-       <p>If <var>options</var>.axis is not in <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#the-range" id="ref-for-the-range">the range</a> 0 to the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank①">rank</a> of <var>input</var>, exclusive, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③⑧">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror⑧">TypeError</a></code>.</p>
-      <li data-md>
-       <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size⑥">size</a> of <var>mean</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑥">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①①">dimensions</a></code> is not 1, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③⑨">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror⑨">TypeError</a></code>.</p>
-      <li data-md>
-       <p>If <var>mean</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑦">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①②">dimensions</a></code>[0] is not equal to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑧">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①③">dimensions</a></code>[<var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlbatchnormalizationoptions-axis" id="ref-for-dom-mlbatchnormalizationoptions-axis⑤">axis</a></code>], then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw④⓪">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror①⓪">TypeError</a></code>.</p>
-      <li data-md>
-       <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size⑦">size</a> of <var>variance</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑨">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①④">dimensions</a></code> is not 1, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw④①">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror①①">TypeError</a></code>.</p>
-      <li data-md>
-       <p>If <var>variance</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①⓪">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⑤">dimensions</a></code>[0] is not equal to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①①">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⑥">dimensions</a></code>[<var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlbatchnormalizationoptions-axis" id="ref-for-dom-mlbatchnormalizationoptions-axis⑥">axis</a></code>], then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw④②">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror①②">TypeError</a></code>.</p>
-      <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlbatchnormalizationoptions-scale" id="ref-for-dom-mlbatchnormalizationoptions-scale①">scale</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑨">exists</a>:</p>
-       <ol>
-        <li data-md>
-         <p>If its <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size⑧">size</a> is not 1, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw④③">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror①③">TypeError</a></code>.</p>
-        <li data-md>
-         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlbatchnormalizationoptions-scale" id="ref-for-dom-mlbatchnormalizationoptions-scale②">scale</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①②">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⑦">dimensions</a></code>[0] is not equal to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①③">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⑧">dimensions</a></code>[<var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlbatchnormalizationoptions-axis" id="ref-for-dom-mlbatchnormalizationoptions-axis⑦">axis</a></code>], then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw④④">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror①④">TypeError</a></code>.</p>
-       </ol>
-      <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlbatchnormalizationoptions-bias" id="ref-for-dom-mlbatchnormalizationoptions-bias①">bias</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists①⓪">exists</a>:</p>
-       <ol>
-        <li data-md>
-         <p>If its <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size⑨">size</a> is not 1, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw④⑤">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror①⑤">TypeError</a></code>.</p>
-        <li data-md>
-         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlbatchnormalizationoptions-bias" id="ref-for-dom-mlbatchnormalizationoptions-bias②">bias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①④">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⑨">dimensions</a></code>[0] is not equal to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①⑤">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②⓪">dimensions</a></code>[<var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlbatchnormalizationoptions-axis" id="ref-for-dom-mlbatchnormalizationoptions-axis⑧">axis</a></code>], then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw④⑥">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror①⑥">TypeError</a></code>.</p>
-       </ol>
-      <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw④⑦">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror①④">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException③④">DOMException</a></code>.</p>
-       <ol>
-        <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand③">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this①⓪">this</a> and <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①⑥">[[descriptor]]</a></code>, that may use the same underlying data as <var>input</var>.</p>
-        <li data-md>
-         <p>Make a request to the underlying platform to initialize the batch normalization:</p>
-         <ol>
-          <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑨">implementation-defined</a> platform operator <var>batchNormImpl</var> for this method, given <var>input</var>, <var>mean</var>, <var>variance</var> and <var>options</var>.</p>
-          <li data-md>
-           <p>If <var>options</var>.activation <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists①①">exists</a>,register it as activation to <var>batchNormImpl</var>.</p>
-          <li data-md>
-           <p>Connect <var>output</var> as output to <var>batchNormImpl</var>.</p>
-         </ol>
-       </ol>
-      <li data-md>
-       <p>Return <var>output</var>.</p>
-     </ol>
-    </div>
-   </details>
-   <div class="note" role="note">
-    <details open>
-     <summary> The behavior of this operation when the input tensor is 4-D of the <em>"nchw"</em> layout and the activation is of operator type <em>relu</em> can be generically emulated from the usage of other operations as follow. However, user agents typically have a more efficient implementation for it, therefore its usage is encouraged from the performance standpoint. </summary>
-<pre class="highlight"><c- a>const</c-> shape <c- o>=</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-><c- kc>null</c-><c- p>,</c-><c- mf>1</c-><c- p>,</c-><c- mf>1</c-><c- p>];</c->
-<c- k>return</c-> builder<c- p>.</c->relu<c- p>(</c->
-  builder<c- p>.</c->add<c- p>(</c->
-    builder<c- p>.</c->mul<c- p>(</c->
-      builder<c- p>.</c->reshape<c- p>(</c->options<c- p>.</c->scale<c- p>,</c-> shape<c- p>),</c->
-      builder<c- p>.</c->div<c- p>(</c->
-        builder<c- p>.</c->sub<c- p>(</c->input<c- p>,</c-> builder<c- p>.</c->reshape<c- p>(</c->mean<c- p>,</c-> shape<c- p>)),</c->
-        builder<c- p>.</c->pow<c- p>(</c->
-          builder<c- p>.</c->add<c- p>(</c->builder<c- p>.</c->reshape<c- p>(</c->variance<c- p>,</c-> shape<c- p>),</c-> builder<c- p>.</c->constant<c- p>(</c->options<c- p>.</c->epsilon<c- p>)),</c->
-          builder<c- p>.</c->constant<c- p>(</c-><c- mf>0.5</c-><c- p>))</c->
-        <c- p>)),</c->
-    builder<c- p>.</c->reshape<c- p>(</c->options<c- p>.</c->bias<c- p>,</c-> shape<c- p>)));</c->
-</pre>
-    </details>
-   </div>
-   <h4 class="heading settled" data-level="7.6.6" id="api-mlgraphbuilder-clamp"><span class="secno">7.6.6. </span><span class="content">The clamp() method</span><a class="self-link" href="#api-mlgraphbuilder-clamp"></a></h4>
+   <h4 class="heading settled" data-level="7.7.6" id="api-mlgraphbuilder-clamp"><span class="secno">7.7.6. </span><span class="content">clamp</span><a class="self-link" href="#api-mlgraphbuilder-clamp"></a></h4>
     Clamp the input tensor element-wise within a range specified by the minimum and maximum values. 
 <pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlclampoptions"><code><c- g>MLClampOptions</c-></code></dfn> {
   <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③"><c- b>float</c-></a> <dfn class="dfn-paneled idl-code" data-dfn-for="MLClampOptions" data-dfn-type="dict-member" data-export data-type="float " id="dom-mlclampoptions-minvalue"><code><c- g>minValue</c-></code></dfn>;
   <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float④"><c- b>float</c-></a> <dfn class="dfn-paneled idl-code" data-dfn-for="MLClampOptions" data-dfn-type="dict-member" data-export data-type="float " id="dom-mlclampoptions-maxvalue"><code><c- g>maxValue</c-></code></dfn>;
 };
 
-<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder②④"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand④⑨"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-clamp" id="ref-for-dom-mlgraphbuilder-clamp"><c- g>clamp</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑤⓪"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/clamp(operand, options), MLGraphBuilder/clamp(operand)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-clamp-operand-options-operand"><code><c- g>operand</c-></code><a class="self-link" href="#dom-mlgraphbuilder-clamp-operand-options-operand"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlclampoptions" id="ref-for-dictdef-mlclampoptions"><c- n>MLClampOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/clamp(operand, options), MLGraphBuilder/clamp(operand)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-clamp-operand-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-clamp-operand-options-options"></a></dfn> = {});
-  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation①①"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-clamp-options" id="ref-for-dom-mlgraphbuilder-clamp-options"><c- g>clamp</c-></a>(<c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlclampoptions" id="ref-for-dictdef-mlclampoptions①"><c- n>MLClampOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/clamp(options), MLGraphBuilder/clamp()" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-clamp-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-clamp-options-options"></a></dfn> = {});
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder②②"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand④③"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-clamp" id="ref-for-dom-mlgraphbuilder-clamp"><c- g>clamp</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand④④"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/clamp(input, options), MLGraphBuilder/clamp(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-clamp-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-clamp-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlclampoptions" id="ref-for-dictdef-mlclampoptions"><c- n>MLClampOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/clamp(input, options), MLGraphBuilder/clamp(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-clamp-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-clamp-input-options-options"></a></dfn> = {});
+  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation①②"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-clamp-options" id="ref-for-dom-mlgraphbuilder-clamp-options"><c- g>clamp</c-></a>(<c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlclampoptions" id="ref-for-dictdef-mlclampoptions①"><c- n>MLClampOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/clamp(options), MLGraphBuilder/clamp()" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-clamp-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-clamp-options-options"></a></dfn> = {});
 };
 </pre>
    <div class="note" role="note">
@@ -2890,16 +2762,16 @@ <h4 class="heading settled" data-level="7.6.6" id="api-mlgraphbuilder-clamp"><sp
     performance standpoint. </summary>
 <pre class="highlight"><c- k>if</c-> <c- p>(</c->options<c- p>.</c->minValue <c- o>===</c-> <c- kc>undefined</c-><c- p>)</c-> <c- p>{</c->
   <c- k>if</c-> <c- p>(</c->options<c- p>.</c->maxValue <c- o>===</c-> <c- kc>undefined</c-><c- p>)</c-> <c- p>{</c->
-    <c- k>return</c-> operand<c- p>;</c->
+    <c- k>return</c-> input<c- p>;</c->
   <c- p>}</c-> <c- k>else</c-> <c- p>{</c->
-    <c- k>return</c-> builder<c- p>.</c->min<c- p>(</c->operand<c- p>,</c-> builder<c- p>.</c->constant<c- p>(</c->options<c- p>.</c->maxValue<c- p>));</c->
+    <c- k>return</c-> builder<c- p>.</c->min<c- p>(</c->input<c- p>,</c-> builder<c- p>.</c->constant<c- p>(</c->options<c- p>.</c->maxValue<c- p>));</c->
   <c- p>}</c->
 <c- p>}</c-> <c- k>else</c-> <c- p>{</c->
   <c- k>if</c-> <c- p>(</c->options<c- p>.</c->maxValue <c- o>===</c-> <c- kc>undefined</c-><c- p>)</c-> <c- p>{</c->
-    <c- k>return</c-> builder<c- p>.</c->max<c- p>(</c->operand<c- p>,</c-> builder<c- p>.</c->constant<c- p>(</c->options<c- p>.</c->minValue<c- p>));</c->
+    <c- k>return</c-> builder<c- p>.</c->max<c- p>(</c->input<c- p>,</c-> builder<c- p>.</c->constant<c- p>(</c->options<c- p>.</c->minValue<c- p>));</c->
   <c- p>}</c-> <c- k>else</c-> <c- p>{</c->
     <c- k>return</c-> builder<c- p>.</c->min<c- p>(</c->
-        builder<c- p>.</c->max<c- p>(</c->operand<c- p>,</c-> builder<c- p>.</c->constant<c- p>(</c->options<c- p>.</c->minValue<c- p>)),</c->
+        builder<c- p>.</c->max<c- p>(</c->input<c- p>,</c-> builder<c- p>.</c->constant<c- p>(</c->options<c- p>.</c->minValue<c- p>)),</c->
         builder<c- p>.</c->constant<c- p>(</c->options<c- p>.</c->maxValue<c- p>));</c->
   <c- p>}</c->
 <c- p>}</c->
@@ -2917,12 +2789,12 @@ <h4 class="heading settled" data-level="7.6.6" id="api-mlgraphbuilder-clamp"><sp
      </ol>
     </div>
    </details>
-   <h5 class="heading settled" data-level="7.6.6.1" id="api-mlgraphbuilder-clamp-operand-options"><span class="secno">7.6.6.1. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-clamp" id="ref-for-dom-mlgraphbuilder-clamp①">clamp(operand, options)</a></code> method</span><a class="self-link" href="#api-mlgraphbuilder-clamp-operand-options"></a></h5>
+   <h5 class="heading settled" data-level="7.7.6.1" id="api-mlgraphbuilder-clamp-operand-options"><span class="secno">7.7.6.1. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-clamp" id="ref-for-dom-mlgraphbuilder-clamp①">clamp(input, options)</a></code></span><a class="self-link" href="#api-mlgraphbuilder-clamp-operand-options"></a></h5>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>operand</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑤①">MLOperand</a></code>. The input tensor.</p>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④⑤">MLOperand</a></code>. The input tensor.</p>
      <li data-md>
       <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlclampoptions" id="ref-for-dictdef-mlclampoptions②">MLClampOptions</a></code>. The optional parameters of the operation.</p>
       <ul>
@@ -2935,45 +2807,45 @@ <h5 class="heading settled" data-level="7.6.6.1" id="api-mlgraphbuilder-clamp-op
      <strong>Returns:</strong> 
     <ul>
      <li data-md>
-      <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑤②">MLOperand</a></code>. The output tensor of the same shape as <em>operand</em>.</p>
+      <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④⑥">MLOperand</a></code>. The output tensor of the same shape as <em>operand</em>.</p>
     </ul>
    </div>
-   <details class="algorithm" data-algorithm="clamp(operand, options)" data-algorithm-for="MLGraphBuilder" open>
-    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export data-lt="clamp(operand, options)|clamp(operand)" id="dom-mlgraphbuilder-clamp"><code>clamp(<var>operand</var>, <var>options</var>)</code></dfn> method steps are: </summary>
+   <details class="algorithm" data-algorithm="clamp(input, options)" data-algorithm-for="MLGraphBuilder" open>
+    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export data-lt="clamp(input, options)|clamp(input)" id="dom-mlgraphbuilder-clamp"><code>clamp(<var>input</var>, <var>options</var>)</code></dfn> method steps are: </summary>
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert①⑥">Assert</a>: the type of <var>operand</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑤③">MLOperand</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert①②">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④⑦">MLOperand</a></code>.</p>
       <li data-md>
-       <p>If running the <a data-link-type="dfn" href="#check-clamp-options" id="ref-for-check-clamp-options">check clamp options</a> steps given <var>options</var> returns false, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw④⑧">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror①⑦">TypeError</a></code>.</p>
+       <p>If running the <a data-link-type="dfn" href="#check-clamp-options" id="ref-for-check-clamp-options">check clamp options</a> steps given <var>options</var> returns false, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw④⑥">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror①⑤">TypeError</a></code>.</p>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw④⑨">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror①⑤">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException③⑤">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw④⑦">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror①④">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException③①">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand">copying an MLOperand</a> given <var>operand</var>.</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand①">copying an MLOperand</a> given <var>input</var>.</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined①⓪">implementation-defined</a> platform operator <var>clampImpl</var> for this method, given <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlclampoptions-minvalue" id="ref-for-dom-mlclampoptions-minvalue①">minValue</a></code> and <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlclampoptions-maxvalue" id="ref-for-dom-mlclampoptions-maxvalue①">maxValue</a></code>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑨">implementation-defined</a> platform operator <var>clampImpl</var> for this method, given <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlclampoptions-minvalue" id="ref-for-dom-mlclampoptions-minvalue①">minValue</a></code> and <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlclampoptions-maxvalue" id="ref-for-dom-mlclampoptions-maxvalue①">maxValue</a></code>.</p>
           <li data-md>
-           <p>Store a reference of <var>clampImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot①">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>clampImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot③">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined①①">implementation-defined</a> platform operand <var>outputImpl</var> to represent clamp output, given <var>output</var> and <var>clampImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined①⓪">implementation-defined</a> platform operand <var>outputImpl</var> to represent clamp output, given <var>output</var> and <var>clampImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot④">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑦">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑤">[[operand]]</a></code> as input to <var>clampImpl</var>.</p>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑧">[[operand]]</a></code> as input to <var>clampImpl</var>.</p>
         <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑥">[[operand]]</a></code> as output to <var>clampImpl</var>.</p>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑨">[[operand]]</a></code> as output to <var>clampImpl</var>.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
      </ol>
     </div>
    </details>
-   <h5 class="heading settled" data-level="7.6.6.2" id="api-mlgraphbuilder-clamp-options"><span class="secno">7.6.6.2. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-clamp-options" id="ref-for-dom-mlgraphbuilder-clamp-options①">clamp(options)</a></code> method</span><a class="self-link" href="#api-mlgraphbuilder-clamp-options"></a></h5>
+   <h5 class="heading settled" data-level="7.7.6.2" id="api-mlgraphbuilder-clamp-options"><span class="secno">7.7.6.2. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-clamp-options" id="ref-for-dom-mlgraphbuilder-clamp-options①">clamp(options)</a></code></span><a class="self-link" href="#api-mlgraphbuilder-clamp-options"></a></h5>
    <div>
      <strong>Arguments:</strong> 
     <ul>
@@ -2989,7 +2861,7 @@ <h5 class="heading settled" data-level="7.6.6.2" id="api-mlgraphbuilder-clamp-op
      <strong>Returns:</strong> 
     <ul>
      <li data-md>
-      <p>an <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation①②">MLActivation</a></code>. The operator representing the clamp operation.</p>
+      <p>an <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation①③">MLActivation</a></code>. The operator representing the clamp operation.</p>
     </ul>
    </div>
    <details class="algorithm" data-algorithm="clamp(options)" data-algorithm-for="MLGraphBuilder" open>
@@ -2997,34 +2869,34 @@ <h5 class="heading settled" data-level="7.6.6.2" id="api-mlgraphbuilder-clamp-op
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p>If running the <a data-link-type="dfn" href="#check-clamp-options" id="ref-for-check-clamp-options①">check clamp options</a> steps given <var>options</var> returns false, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑤⓪">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror①⑧">TypeError</a></code>.</p>
+       <p>If running the <a data-link-type="dfn" href="#check-clamp-options" id="ref-for-check-clamp-options①">check clamp options</a> steps given <var>options</var> returns false, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw④⑧">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror①⑥">TypeError</a></code>.</p>
       <li data-md>
-       <p>Let <var>op</var> be the result of <a data-link-type="dfn" href="#create-an-mlactivation" id="ref-for-create-an-mlactivation">creating an MLActivation</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this①①">this</a>, <code>"clamp"</code> and <var>options</var>.</p>
+       <p>Let <var>op</var> be the result of <a data-link-type="dfn" href="#create-an-mlactivation" id="ref-for-create-an-mlactivation">creating an MLActivation</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this①⓪">this</a>, <code>"clamp"</code> and <var>options</var>.</p>
        <ol>
         <li data-md>
-         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑤①">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑤②">throw</a> the error.</p>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw④⑨">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑤⓪">throw</a> the error.</p>
        </ol>
       <li data-md>
        <p>Return <var>op</var>.</p>
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.6.7" id="api-mlgraphbuilder-concat"><span class="secno">7.6.7. </span><span class="content">The concat() method</span><a class="self-link" href="#api-mlgraphbuilder-concat"></a></h4>
+   <h4 class="heading settled" data-level="7.7.7" id="api-mlgraphbuilder-concat"><span class="secno">7.7.7. </span><span class="content">concat</span><a class="self-link" href="#api-mlgraphbuilder-concat"></a></h4>
     Concatenates the input tensors along a given axis. 
-<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder②⑤"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑤④"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-concat" id="ref-for-dom-mlgraphbuilder-concat"><c- g>concat</c-></a>(<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①"><c- b>sequence</c-></a>&lt;<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑤⑤"><c- n>MLOperand</c-></a>> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/concat(inputs, axis)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-concat-inputs-axis-inputs"><code><c- g>inputs</c-></code><a class="self-link" href="#dom-mlgraphbuilder-concat-inputs-axis-inputs"></a></dfn>, <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③"><c- b>unsigned</c-> <c- b>long</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/concat(inputs, axis)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-concat-inputs-axis-axis"><code><c- g>axis</c-></code><a class="self-link" href="#dom-mlgraphbuilder-concat-inputs-axis-axis"></a></dfn>);
+<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder②③"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand④⑧"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-concat" id="ref-for-dom-mlgraphbuilder-concat"><c- g>concat</c-></a>(<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①"><c- b>sequence</c-></a>&lt;<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand④⑨"><c- n>MLOperand</c-></a>> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/concat(inputs, axis)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-concat-inputs-axis-inputs"><code><c- g>inputs</c-></code><a class="self-link" href="#dom-mlgraphbuilder-concat-inputs-axis-inputs"></a></dfn>, <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑤"><c- b>unsigned</c-> <c- b>long</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/concat(inputs, axis)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-concat-inputs-axis-axis"><code><c- g>axis</c-></code><a class="self-link" href="#dom-mlgraphbuilder-concat-inputs-axis-axis"></a></dfn>);
 };
 </pre>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>inputs</em>: a sequence of <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑤⑥">MLOperand</a></code>. All input tensors must have the
+      <p><em>inputs</em>: a sequence of <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑤⓪">MLOperand</a></code>. All input tensors must have the
 same shape, except for the size of the dimension to concatenate on.</p>
      <li data-md>
-      <p><em>axis</em>: an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long④">unsigned long</a></code> scalar. The axis that the inputs concatenate along. Its value must be in the range [0, N-1] where N is the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank②">rank</a> of the input tensors.</p>
+      <p><em>axis</em>: an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑥">unsigned long</a></code> scalar. The axis that the inputs concatenate along. Its value must be in the range [0, N-1] where N is the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank④">rank</a> of the input tensors.</p>
     </ul>
-    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑤⑦">MLOperand</a></code>. The concatenated tensor of all the inputs along
+    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑤①">MLOperand</a></code>. The concatenated tensor of all the inputs along
     the <em>axis</em>. The output tensor has the same shape except on the dimension
     that all the inputs concatenated along. The size of that dimension is
     computed as the sum of all the input sizes of the same dimension.</p>
@@ -3032,73 +2904,238 @@ <h4 class="heading settled" data-level="7.6.7" id="api-mlgraphbuilder-concat"><s
    <details class="algorithm" data-algorithm="concat(inputs, axis)" data-algorithm-for="MLGraphBuilder" open>
     <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-concat"><code>concat(<var>inputs</var>, <var>axis</var>)</code></dfn> method steps are: </summary>
     <div class="algorithm-steps">
-     <div class="note" role="note"> The permissions and context validity have been checked by <a href="#api-mlgraphbuilder-constructor">§ 7.6.1 The MLGraphBuilder constructor</a> steps. </div>
+     <div class="note" role="note"> The permissions and context validity have been checked by <a href="#api-mlgraphbuilder-constructor">§ 7.7.1 MLGraphBuilder constructor</a> steps. </div>
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert①⑦">Assert</a>: the type of <var>inputs</var> is sequence of <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑤⑧">MLOperand</a></code> objects.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert①③">Assert</a>: the type of <var>inputs</var> is sequence of <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑤②">MLOperand</a></code> objects.</p>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert①⑧">Assert</a>: the type of <var>axis</var> is <code>unsigned long</code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert①④">Assert</a>: the type of <var>axis</var> is <code>unsigned long</code>.</p>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert①⑨">Assert</a>: the shape, i.e. <code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②①">dimensions</a></code> of each operand in <var>inputs</var> is the same, except on the dimension given by <var>axis</var> on which they are concatenated.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert①⑤">Assert</a>: the shape, i.e. <code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①②">dimensions</a></code> of each operand in <var>inputs</var> is the same, except on the dimension given by <var>axis</var> on which they are concatenated.</p>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert②⓪">Assert</a>: the <code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype⑥">dataType</a></code> of each operand in <var>inputs</var> is the same.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert①⑥">Assert</a>: the <code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②">dataType</a></code> of each operand in <var>inputs</var> is the same.</p>
       <li data-md>
-       <p>If any of the following steps fail, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑤③">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror①①">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException③⑥">DOMException</a></code>.</p>
+       <p>If any of the following steps fail, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑤①">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑧">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException③②">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>desc</var> be <var>inputs</var>[0].<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①⑦">[[descriptor]]</a></code>.</p>
+         <p>Let <var>desc</var> be <var>inputs</var>[0].<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①②">[[descriptor]]</a></code>.</p>
         <li data-md>
-         <p>If <var>axis</var> is greater than or equal to the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank③">rank</a> of <var>desc</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑤④">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror①②">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException③⑦">DOMException</a></code>.</p>
+         <p>If <var>axis</var> is greater than or equal to the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank⑤">rank</a> of <var>desc</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑤②">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑨">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException③③">DOMException</a></code>.</p>
         <li data-md>
-         <p>Let <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②②">dimensions</a></code>[<var>axis</var>] be 0.</p>
+         <p>Let <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①③">dimensions</a></code>[<var>axis</var>] be 0.</p>
         <li data-md>
-         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate①①">For each</a> <var>index</var> in <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#the-range" id="ref-for-the-range①">the range</a> 0 to the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank④">rank</a> of <var>inputs</var>, exclusive:</p>
+         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate①⓪">For each</a> <var>index</var> in <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#the-range" id="ref-for-the-range②">the range</a> 0 to the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank⑥">rank</a> of <var>inputs</var>, exclusive:</p>
          <ol>
           <li data-md>
            <p>Let <var>input</var> be <var>inputs</var>[<var>index</var>].</p>
           <li data-md>
-           <p>If <a data-link-type="dfn" href="#mloperand-validate-mloperand" id="ref-for-mloperand-validate-mloperand①">validating MLOperand</a> given <var>input</var> and <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this①②">this</a> returns false, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑤⑤">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror①③">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException③⑧">DOMException</a></code>.</p>
+           <p>If <a data-link-type="dfn" href="#mloperand-validate-mloperand" id="ref-for-mloperand-validate-mloperand①">validating MLOperand</a> given <var>input</var> and <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this①①">this</a> returns false, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑤③">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror①⓪">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException③④">DOMException</a></code>.</p>
           <li data-md>
-           <p>If <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①⑧">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype⑦">dataType</a></code> is not equal to <var>inputs</var>[0].<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①⑨">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype⑧">dataType</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑤⑥">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror①④">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException③⑨">DOMException</a></code>.</p>
+           <p>If <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①③">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype③">dataType</a></code> is not equal to <var>inputs</var>[0].<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①④">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype④">dataType</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑤④">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror①①">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException③⑤">DOMException</a></code>.</p>
           <li data-md>
-           <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate①②">For each</a> <var>dim</var> in <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#the-range" id="ref-for-the-range②">the range</a> 0 to the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank⑤">rank</a> of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot②⓪">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②③">dimensions</a></code>, exclusive:</p>
+           <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate①①">For each</a> <var>dim</var> in <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#the-range" id="ref-for-the-range③">the range</a> 0 to the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank⑦">rank</a> of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①⑤">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①④">dimensions</a></code>, exclusive:</p>
            <div class="note" role="note"> If the shape of each corresponding dimension and type of the operands, except for those of the dimension given by <var>axis</var>, is not the same, fail. </div>
            <ol>
             <li data-md>
-             <p>If <var>dim</var> is not equal to <var>axis</var> and if <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②④">dimensions</a></code>[<var>dim</var>] is not equal to <var>inputs</var>[0].<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②⑤">dimensions</a></code>[<var>dim</var>], then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑤⑦">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror①⑤">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException④⓪">DOMException</a></code>.</p>
+             <p>If <var>dim</var> is not equal to <var>axis</var> and if <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⑤">dimensions</a></code>[<var>dim</var>] is not equal to <var>inputs</var>[0].<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⑥">dimensions</a></code>[<var>dim</var>], then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑤⑤">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror①②">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException③⑥">DOMException</a></code>.</p>
             <li data-md>
-             <p>If <var>dim</var> is equal to <var>axis</var>, add to <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②⑥">dimensions</a></code>[<var>axis</var>] the value of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②⑦">dimensions</a></code>[<var>dim</var>].</p>
+             <p>If <var>dim</var> is equal to <var>axis</var>, add to <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⑦">dimensions</a></code>[<var>axis</var>] the value of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⑧">dimensions</a></code>[<var>dim</var>].</p>
            </ol>
          </ol>
        </ol>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑤⑧">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror①⑥">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException④①">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑤⑥">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror①⑤">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException③⑦">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand④">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this①③">this</a> and <var>desc</var>.</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand③">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this①②">this</a> and <var>desc</var>.</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined①②">implementation-defined</a> platform operator <var>concatImpl</var> for this method, given <var>inputs</var> and <var>axis</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined①①">implementation-defined</a> platform operator <var>concatImpl</var> for this method, given <var>inputs</var> and <var>axis</var>.</p>
           <li data-md>
-           <p>Store a reference of <var>concatImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot②">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>concatImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot④">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined①③">implementation-defined</a> platform operand <var>outputImpl</var> to represent output,given <var>output</var> and <var>concatImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined①②">implementation-defined</a> platform operand <var>outputImpl</var> to represent output,given <var>output</var> and <var>concatImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑦">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①⓪">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
          <p>Connect <var>inputs</var> as input to <var>concatImpl</var>.</p>
         <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑧">[[operand]]</a></code> as output to <var>concatImpl</var>.</p>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①①">[[operand]]</a></code> as output to <var>concatImpl</var>.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.6.8" id="api-mlgraphbuilder-conv2d"><span class="secno">7.6.8. </span><span class="content">The conv2d() method</span><a class="self-link" href="#api-mlgraphbuilder-conv2d"></a></h4>
+   <h4 class="heading settled" data-level="7.7.8" id="api-mlgraphbuilder-constant"><span class="secno">7.7.8. </span><span class="content">constant</span><a class="self-link" href="#api-mlgraphbuilder-constant"></a></h4>
+    Create a constant <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑤③">MLOperand</a></code> that can be used in <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder②④">MLGraphBuilder</a></code> methods. 
+   <h5 class="heading settled" data-level="7.7.8.1" id="api-mlgraphbuilder-constant-bufferview"><span class="secno">7.7.8.1. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-constant" id="ref-for-dom-mlgraphbuilder-constant②">constant(descriptor, bufferView)</a></code></span><a class="self-link" href="#api-mlgraphbuilder-constant-bufferview"></a></h5>
+    Create a constant <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑤④">MLOperand</a></code> of the specified data type and shape that contains the initializing data. 
+   <div>
+     <strong>Arguments:</strong> 
+    <ul>
+     <li data-md>
+      <p><em>descriptor</em>: an <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor⑦">MLOperandDescriptor</a></code>. The descriptor of the output tensor.</p>
+     <li data-md>
+      <p><em>bufferView</em>: an <code class="idl"><a data-link-type="idl" href="#typedefdef-mlbufferview" id="ref-for-typedefdef-mlbufferview②">MLBufferView</a></code>. The view of the buffer containing the initializing data.</p>
+    </ul>
+     <strong>Returns:</strong>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑤⑤">MLOperand</a></code>. The constant output tensor. 
+   </div>
+   <details class="algorithm" data-algorithm="constant(descriptor, bufferView)" data-algorithm-for="MLGraphBuilder" open>
+    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-constant"><code>constant(<var>descriptor</var>, <var>bufferView</var>)</code></dfn> method steps are: </summary>
+    <div class="algorithm-steps">
+     <div class="note" role="note"> The permissions and context validity have been checked by <a href="#api-mlgraphbuilder-constructor">§ 7.7.1 MLGraphBuilder constructor</a> steps. </div>
+     <ol>
+      <li data-md>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert①⑦">Assert</a>: the type of <var>descriptor</var> is <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor⑧">MLOperandDescriptor</a></code>.</p>
+      <li data-md>
+       <p>If the <a data-link-type="dfn" href="#mloperanddescriptor-byte-length" id="ref-for-mloperanddescriptor-byte-length④">byte length</a> of <var>descriptor</var> is not supported by the underlying platform, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑤⑦">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror①③">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException③⑧">DOMException</a></code>.</p>
+      <li data-md>
+       <p>If the <a data-link-type="dfn" href="#check-dimensions" id="ref-for-check-dimensions">check dimensions</a> steps given <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype⑤">dataType</a></code> and <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⑨">dimensions</a></code> return false, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑤⑧">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror①④">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException③⑨">DOMException</a></code>.</p>
+      <li data-md>
+       <p>If <a data-link-type="dfn" href="#validate-buffer-with-descriptor" id="ref-for-validate-buffer-with-descriptor①">validating buffer with descriptor</a> given <var>bufferView</var> and <var>descriptor</var> returns false, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑤⑨">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror①⑦">TypeError</a></code>.</p>
+      <li data-md>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑥⓪">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror①⑥">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException④⓪">DOMException</a></code>.</p>
+       <ol>
+        <li data-md>
+         <p>Let <var>operand</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand④">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this①③">this</a> and <var>descriptor</var>.</p>
+        <li data-md>
+         <p>Let <var>bytes</var> be the result of invoking the <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-get-buffer-source-copy" id="ref-for-dfn-get-buffer-source-copy">get a copy of the bytes held by the buffer source</a> steps given <var>bufferView</var>.</p>
+        <li data-md>
+         <p>Make a request to the underlying platform to:</p>
+         <ol>
+          <li data-md>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined①③">implementation-defined</a> platform operand <var>constantImpl</var> to represent a constant, given <var>descriptor</var>.</p>
+          <li data-md>
+           <p>Store a reference of <var>constantImpl</var> in <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①②">[[operand]]</a></code>.</p>
+          <li data-md>
+           <p>Register <var>operand</var> as a tensor constant with <var>bytes</var> as value.</p>
+         </ol>
+       </ol>
+      <li data-md>
+       <p>Return <var>operand</var>.</p>
+     </ol>
+    </div>
+   </details>
+   <h5 class="heading settled" data-level="7.7.8.2" id="api-mlgraphbuilder-constant-value-type"><span class="secno">7.7.8.2. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-constant-value-type" id="ref-for-dom-mlgraphbuilder-constant-value-type①">constant(value, type)</a></code></span><a class="self-link" href="#api-mlgraphbuilder-constant-value-type"></a></h5>
+    Create a constant <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑤⑥">MLOperand</a></code> of the specified value and data type. 
+   <div class="note" role="note"> Data truncation will occur when the specified value exceeds the range of the specified output data type e.g. when a float value is assigned to an <em>"int8"</em> data type, etc. </div>
+   <div>
+     <strong>Arguments:</strong> 
+    <ul>
+     <li data-md>
+      <p><em>value</em>: a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float⑨">float</a></code> number. The value of the constant.</p>
+     <li data-md>
+      <p><em>type</em>: an optional <code class="idl"><a data-link-type="idl" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype④">MLOperandDataType</a></code>. If not specified, it is assumed to be <em>"float32"</em>.</p>
+    </ul>
+     <strong>Returns:</strong>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑤⑦">MLOperand</a></code>. The constant output. 
+   </div>
+   <details class="algorithm" data-algorithm="constant(value, type)" data-algorithm-for="MLGraphBuilder" open>
+    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export data-lt="constant(value, type)|constant(value)" id="dom-mlgraphbuilder-constant-value-type"><code>constant(<var>value</var>, <var>type</var>)</code></dfn> method steps are: </summary>
+    <div class="algorithm-steps">
+     <div class="note" role="note"> The permissions and context validity have been checked by <a href="#api-mlgraphbuilder-constructor">§ 7.7.1 MLGraphBuilder constructor</a> steps. </div>
+     <ol>
+      <li data-md>
+       <p>Let <var>descriptor</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor⑨">MLOperandDescriptor</a></code>.</p>
+       <ol>
+        <li data-md>
+         <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype⑥">dataType</a></code> to <var>type</var>.</p>
+        <li data-md>
+         <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②⓪">dimensions</a></code> to <code>undefined</code>.</p>
+         <div class="note" role="note"> In the case of a scalar constant, <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②①">dimensions</a></code> is ignored. </div>
+       </ol>
+      <li data-md>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑥①">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror①⑦">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException④①">DOMException</a></code>.</p>
+       <ol>
+        <li data-md>
+         <p>Let <var>operand</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand⑤">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this①④">this</a> and <var>descriptor</var>.</p>
+        <li data-md>
+         <p>Make a request to the underlying platform to:</p>
+         <ol>
+          <li data-md>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined①④">implementation-defined</a> platform operand <var>constantImpl</var> to represent a constant, given <var>descriptor</var>.</p>
+          <li data-md>
+           <p>Store a reference of <var>constantImpl</var> in <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①③">[[operand]]</a></code>.</p>
+          <li data-md>
+           <p>Register <var>operand</var> as a scalar constant with <var>value</var> as value.</p>
+         </ol>
+       </ol>
+      <li data-md>
+       <p>Return <var>operand</var>.</p>
+     </ol>
+    </div>
+   </details>
+   <h5 class="heading settled" data-level="7.7.8.3" id="api-mlgraphbuilder-constant-range"><span class="secno">7.7.8.3. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-constant-start-end-step-type" id="ref-for-dom-mlgraphbuilder-constant-start-end-step-type">constant(start, end, step, type)</a></code></span><a class="self-link" href="#api-mlgraphbuilder-constant-range"></a></h5>
+    Create a constant <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑤⑧">MLOperand</a></code> of the specified data type and shape that contains the data as specified by the range. 
+   <div class="note" role="note"> Data truncation will occur when the values in the range exceed the range of the specified output data type e.g. when a float value is assigned to an <em>"int8"</em> data type, etc. </div>
+   <div>
+     <strong>Arguments:</strong> 
+    <ul>
+     <li data-md>
+      <p><em>start</em>: a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①⓪">float</a></code> scalar. The starting value of the range.</p>
+     <li data-md>
+      <p><em>end</em>: a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①①">float</a></code> scalar. The ending value of the range.</p>
+     <li data-md>
+      <p><em>step</em>: a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①②">float</a></code> scalar. The gap value between two data points in the range.</p>
+     <li data-md>
+      <p><em>type</em>: an optional <code class="idl"><a data-link-type="idl" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype⑤">MLOperandDataType</a></code>. If not specified, it is assumed to be <em>"float32"</em>.</p>
+    </ul>
+     <strong>Returns:</strong>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑤⑨">MLOperand</a></code>. The constant 1-D output tensor of size <code>max(0, ceil((end - start)/step))</code>. 
+   </div>
+   <details class="algorithm" data-algorithm="constant(start, end, step, type)" data-algorithm-for="MLGraphBuilder" open>
+    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-constant-start-end-step-type"><code>constant(<var>start</var>, <var>end</var>, <var>step</var>, <var>type</var>)</code></dfn> method steps are: </summary>
+    <div class="algorithm-steps">
+     <div class="note" role="note"> The permissions and context validity have been checked by <a href="#api-mlgraphbuilder-constructor">§ 7.7.1 MLGraphBuilder constructor</a> steps. </div>
+     <ol>
+      <li data-md>
+       <p>Let <var>descriptor</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①⓪">MLOperandDescriptor</a></code>.</p>
+       <ol>
+        <li data-md>
+         <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype⑦">dataType</a></code> to <var>type</var>.</p>
+        <li data-md>
+         <p>Let <var>size</var> be <em>max(0, ceil((end - start)/step))</em>.</p>
+        <li data-md>
+         <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②②">dimensions</a></code> to [<var>size</var>].</p>
+       </ol>
+      <li data-md>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑥②">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror①⑧">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException④②">DOMException</a></code>.</p>
+       <ol>
+        <li data-md>
+         <p>Let <var>operand</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand⑥">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this①⑤">this</a>, <var>start</var>, <var>end</var>, <var>step</var>, and <var>type</var>.</p>
+        <li data-md>
+         <p>Make a request to the underlying platform to:</p>
+         <ol>
+          <li data-md>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined①⑤">implementation-defined</a> platform memory buffer the size of <var>size</var> multiplied by sizeof(<var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype⑧">dataType</a></code>).</p>
+          <li data-md>
+           <p>Store the beginning address to that memory buffer as a pointer <var>buffer</var> of the corresponding data type.</p>
+         </ol>
+        <li data-md>
+         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate①②">For each</a> <var>index</var> in <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#the-range" id="ref-for-the-range④">the range</a> 0 to <var>size</var>, exclusive:</p>
+         <ol>
+          <li data-md>
+           <p>Set <var>buffer</var>[<var>index</var>] to <var>start</var> + (<var>index</var> * <var>step</var>).</p>
+         </ol>
+        <li data-md>
+         <p>Make a request to the underlying platform to:</p>
+         <ol>
+          <li data-md>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined①⑥">implementation-defined</a> platform operand <var>constantImpl</var> to represent a constant operand, given <var>descriptor</var>.</p>
+          <li data-md>
+           <p>Store a reference of <var>constantImpl</var> in <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①④">[[operand]]</a></code>.</p>
+          <li data-md>
+           <p>Register <var>operand</var> as a constant with <var>buffer</var> as value.</p>
+         </ol>
+       </ol>
+      <li data-md>
+       <p>Return <var>operand</var>.</p>
+     </ol>
+    </div>
+   </details>
+   <h4 class="heading settled" data-level="7.7.9" id="api-mlgraphbuilder-conv2d"><span class="secno">7.7.9. </span><span class="content">conv2d</span><a class="self-link" href="#api-mlgraphbuilder-conv2d"></a></h4>
     Compute a 2-D convolution given 4-D input and filter tensors 
 <pre class="idl highlight def"><c- b>enum</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="enum" data-export id="enumdef-mlconv2dfilteroperandlayout"><code><c- g>MLConv2dFilterOperandLayout</c-></code></dfn> {
   <dfn class="idl-code" data-dfn-for="MLConv2dFilterOperandLayout" data-dfn-type="enum-value" data-export id="dom-mlconv2dfilteroperandlayout-oihw"><code><c- s>"oihw"</c-></code><a class="self-link" href="#dom-mlconv2dfilteroperandlayout-oihw"></a></dfn>,
@@ -3114,53 +3151,53 @@ <h4 class="heading settled" data-level="7.6.8" id="api-mlgraphbuilder-conv2d"><s
 };
 
 <c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlconv2doptions"><code><c- g>MLConv2dOptions</c-></code></dfn> {
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑤"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlconv2doptions-padding" id="ref-for-dom-mlconv2doptions-padding"><c- g>padding</c-></a>;
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence③"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑥"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlconv2doptions-strides" id="ref-for-dom-mlconv2doptions-strides"><c- g>strides</c-></a>;
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence④"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑦"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlconv2doptions-dilations" id="ref-for-dom-mlconv2doptions-dilations"><c- g>dilations</c-></a>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑦"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlconv2doptions-padding" id="ref-for-dom-mlconv2doptions-padding"><c- g>padding</c-></a>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence③"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑧"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlconv2doptions-strides" id="ref-for-dom-mlconv2doptions-strides"><c- g>strides</c-></a>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence④"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑨"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlconv2doptions-dilations" id="ref-for-dom-mlconv2doptions-dilations"><c- g>dilations</c-></a>;
   <a data-link-type="idl-name" href="#enumdef-mlautopad" id="ref-for-enumdef-mlautopad"><c- n>MLAutoPad</c-></a> <a class="idl-code" data-default="&quot;explicit&quot;" data-link-type="dict-member" data-type="MLAutoPad " href="#dom-mlconv2doptions-autopad" id="ref-for-dom-mlconv2doptions-autopad"><c- g>autoPad</c-></a> = "explicit";
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑧"><c- b>unsigned</c-> <c- b>long</c-></a> <a class="idl-code" data-default="1" data-link-type="dict-member" data-type="unsigned long " href="#dom-mlconv2doptions-groups" id="ref-for-dom-mlconv2doptions-groups"><c- g>groups</c-></a> = 1;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①⓪"><c- b>unsigned</c-> <c- b>long</c-></a> <a class="idl-code" data-default="1" data-link-type="dict-member" data-type="unsigned long " href="#dom-mlconv2doptions-groups" id="ref-for-dom-mlconv2doptions-groups"><c- g>groups</c-></a> = 1;
   <a data-link-type="idl-name" href="#enumdef-mlinputoperandlayout" id="ref-for-enumdef-mlinputoperandlayout"><c- n>MLInputOperandLayout</c-></a> <a class="idl-code" data-default="&quot;nchw&quot;" data-link-type="dict-member" data-type="MLInputOperandLayout " href="#dom-mlconv2doptions-inputlayout" id="ref-for-dom-mlconv2doptions-inputlayout"><c- g>inputLayout</c-></a> = "nchw";
   <a data-link-type="idl-name" href="#enumdef-mlconv2dfilteroperandlayout" id="ref-for-enumdef-mlconv2dfilteroperandlayout"><c- n>MLConv2dFilterOperandLayout</c-></a> <a class="idl-code" data-default="&quot;oihw&quot;" data-link-type="dict-member" data-type="MLConv2dFilterOperandLayout " href="#dom-mlconv2doptions-filterlayout" id="ref-for-dom-mlconv2doptions-filterlayout"><c- g>filterLayout</c-></a> = "oihw";
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑤⑨"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlconv2doptions-bias" id="ref-for-dom-mlconv2doptions-bias"><c- g>bias</c-></a>;
-  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation①③"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLActivation " href="#dom-mlconv2doptions-activation" id="ref-for-dom-mlconv2doptions-activation"><c- g>activation</c-></a>;
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑥⓪"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlconv2doptions-bias" id="ref-for-dom-mlconv2doptions-bias"><c- g>bias</c-></a>;
+  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation①④"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLActivation " href="#dom-mlconv2doptions-activation" id="ref-for-dom-mlconv2doptions-activation"><c- g>activation</c-></a>;
 };
 
-<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder②⑥"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑥⓪"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-conv2d" id="ref-for-dom-mlgraphbuilder-conv2d"><c- g>conv2d</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑥①"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/conv2d(input, filter, options), MLGraphBuilder/conv2d(input, filter)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-conv2d-input-filter-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-conv2d-input-filter-options-input"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑥②"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/conv2d(input, filter, options), MLGraphBuilder/conv2d(input, filter)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-conv2d-input-filter-options-filter"><code><c- g>filter</c-></code><a class="self-link" href="#dom-mlgraphbuilder-conv2d-input-filter-options-filter"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlconv2doptions" id="ref-for-dictdef-mlconv2doptions"><c- n>MLConv2dOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/conv2d(input, filter, options), MLGraphBuilder/conv2d(input, filter)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-conv2d-input-filter-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-conv2d-input-filter-options-options"></a></dfn> = {});
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder②⑤"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑥①"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-conv2d" id="ref-for-dom-mlgraphbuilder-conv2d"><c- g>conv2d</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑥②"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/conv2d(input, filter, options), MLGraphBuilder/conv2d(input, filter)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-conv2d-input-filter-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-conv2d-input-filter-options-input"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑥③"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/conv2d(input, filter, options), MLGraphBuilder/conv2d(input, filter)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-conv2d-input-filter-options-filter"><code><c- g>filter</c-></code><a class="self-link" href="#dom-mlgraphbuilder-conv2d-input-filter-options-filter"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlconv2doptions" id="ref-for-dictdef-mlconv2doptions"><c- n>MLConv2dOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/conv2d(input, filter, options), MLGraphBuilder/conv2d(input, filter)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-conv2d-input-filter-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-conv2d-input-filter-options-options"></a></dfn> = {});
 };
 </pre>
    <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlconv2doptions" id="ref-for-dictdef-mlconv2doptions①">MLConv2dOptions</a></code> has the following members:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLConv2dOptions" data-dfn-type="dict-member" data-export id="dom-mlconv2doptions-padding"><code>padding</code></dfn>, <span> of type <code class="idl-code">sequence&lt;unsigned long></code></span>
     <dd data-md>
-     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑨">unsigned long</a></code> of length 4: [beginningHeight, endingHeight, beginningWidth, endingWidth].
+     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①①">unsigned long</a></code> of length 4: [beginningHeight, endingHeight, beginningWidth, endingWidth].
 Specifies the additional rows and columns added to the beginning and ending of each spatial dimension of the convolution input.
 The default value is [0, 0, 0, 0].</p>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLConv2dOptions" data-dfn-type="dict-member" data-export id="dom-mlconv2doptions-strides"><code>strides</code></dfn>, <span> of type <code class="idl-code">sequence&lt;unsigned long></code></span>
     <dd data-md>
-     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①⓪">unsigned long</a></code> of length 2: [strideHeight, strideWidth].
+     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①②">unsigned long</a></code> of length 2: [strideHeight, strideWidth].
 Specifies the stride of the sliding window for each spatial dimension of the convolution input.
 The default value is [1, 1].</p>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLConv2dOptions" data-dfn-type="dict-member" data-export id="dom-mlconv2doptions-dilations"><code>dilations</code></dfn>, <span> of type <code class="idl-code">sequence&lt;unsigned long></code></span>
     <dd data-md>
-     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①①">unsigned long</a></code> of length 2: [dilationHeight, dilationWidth]. Specifies the dilation factor for each spatial dimension applied on the convolution filter (kernel).
+     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①③">unsigned long</a></code> of length 2: [dilationHeight, dilationWidth]. Specifies the dilation factor for each spatial dimension applied on the convolution filter (kernel).
 The default value is [1, 1].</p>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLConv2dOptions" data-dfn-type="dict-member" data-export id="dom-mlconv2doptions-autopad"><code>autoPad</code></dfn>, <span> of type <a data-link-type="idl-name" href="#enumdef-mlautopad" id="ref-for-enumdef-mlautopad①">MLAutoPad</a>, defaulting to <code>"explicit"</code></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#enumdef-mlautopad" id="ref-for-enumdef-mlautopad②">MLAutoPad</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string④">string</a>.
+     <p>An <code class="idl"><a data-link-type="idl" href="#enumdef-mlautopad" id="ref-for-enumdef-mlautopad②">MLAutoPad</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string②">string</a>.
 Specifies the automatic input padding options.
 The default value is <em>"explicit"</em>, which means that the values in the <code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-padding" id="ref-for-dom-mlconv2doptions-padding①">padding</a></code> array should be used for input padding.
 When the option is set other than <em>"explicit"</em>, the values in the <code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-padding" id="ref-for-dom-mlconv2doptions-padding②">padding</a></code> array are ignored.</p>
      <p>With the <em>"same-upper"</em> option, the padding values are automatically computed such that the additional ending padding of the spatial input dimensions would allow all of the input values in the corresponding dimension to be filtered.</p>
      <p>The <em>"same-lower"</em> option is similar but padding is applied to the beginning padding of the spatial input dimensions instead of the ending one.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLConv2dOptions" data-dfn-type="dict-member" data-export id="dom-mlconv2doptions-groups"><code>groups</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①②">unsigned long</a>, defaulting to <code>1</code></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLConv2dOptions" data-dfn-type="dict-member" data-export id="dom-mlconv2doptions-groups"><code>groups</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①④">unsigned long</a>, defaulting to <code>1</code></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①③">unsigned long</a></code> scalar.
+     <p>An <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①⑤">unsigned long</a></code> scalar.
 Specifies the number of groups that input channels and output channels are divided into.
 The default value is 1.</p>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLConv2dOptions" data-dfn-type="dict-member" data-export id="dom-mlconv2doptions-inputlayout"><code>inputLayout</code></dfn>, <span> of type <a data-link-type="idl-name" href="#enumdef-mlinputoperandlayout" id="ref-for-enumdef-mlinputoperandlayout①">MLInputOperandLayout</a>, defaulting to <code>"nchw"</code></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#enumdef-mlinputoperandlayout" id="ref-for-enumdef-mlinputoperandlayout②">MLInputOperandLayout</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string⑤">string</a>.
+     <p>An <code class="idl"><a data-link-type="idl" href="#enumdef-mlinputoperandlayout" id="ref-for-enumdef-mlinputoperandlayout②">MLInputOperandLayout</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string③">string</a>.
 Specifies the layout format of the input and output tensor as follows:</p>
      <ul>
       <li data-md>
@@ -3183,7 +3220,7 @@ <h4 class="heading settled" data-level="7.6.8" id="api-mlgraphbuilder-conv2d"><s
      The default value is <em>"nchw"</em>. 
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLConv2dOptions" data-dfn-type="dict-member" data-export id="dom-mlconv2doptions-filterlayout"><code>filterLayout</code></dfn>, <span> of type <a data-link-type="idl-name" href="#enumdef-mlconv2dfilteroperandlayout" id="ref-for-enumdef-mlconv2dfilteroperandlayout①">MLConv2dFilterOperandLayout</a>, defaulting to <code>"oihw"</code></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#enumdef-mlconv2dfilteroperandlayout" id="ref-for-enumdef-mlconv2dfilteroperandlayout②">MLConv2dFilterOperandLayout</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string⑥">string</a>.
+     <p>An <code class="idl"><a data-link-type="idl" href="#enumdef-mlconv2dfilteroperandlayout" id="ref-for-enumdef-mlconv2dfilteroperandlayout②">MLConv2dFilterOperandLayout</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string④">string</a>.
   Specifies the layout format of the filter tensor as follow:</p>
      <ul>
       <li data-md>
@@ -3196,28 +3233,28 @@ <h4 class="heading settled" data-level="7.6.8" id="api-mlgraphbuilder-conv2d"><s
        <p><strong>"ihwo"</strong>: <em>[inputChannels/groups, height, width, outputChannels]</em></p>
      </ul>
       The default value is <em>"oihw"</em>. 
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLConv2dOptions" data-dfn-type="dict-member" data-export id="dom-mlconv2doptions-bias"><code>bias</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑥③">MLOperand</a></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLConv2dOptions" data-dfn-type="dict-member" data-export id="dom-mlconv2doptions-bias"><code>bias</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑥④">MLOperand</a></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑥④">MLOperand</a></code> object.
+     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑥⑤">MLOperand</a></code> object.
   Specifies the additional 1-D tensor with the shape of <em>[outputChannels]</em> whose values are to be added to the convolution result.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLConv2dOptions" data-dfn-type="dict-member" data-export id="dom-mlconv2doptions-activation"><code>activation</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation①④">MLActivation</a></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLConv2dOptions" data-dfn-type="dict-member" data-export id="dom-mlconv2doptions-activation"><code>activation</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation①⑤">MLActivation</a></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation①⑤">MLActivation</a></code> object.
+     <p>An <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation①⑥">MLActivation</a></code> object.
     Specifies the optional activation function that immediately follows the convolution operation.</p>
    </dl>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑥⑤">MLOperand</a></code>. The input 4-D tensor. The logical shape
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑥⑥">MLOperand</a></code>. The input 4-D tensor. The logical shape
 is interpreted according to the value of <em>options</em>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-inputlayout" id="ref-for-dom-mlconv2doptions-inputlayout①">inputLayout</a></code>.</p>
      <li data-md>
-      <p><em>filter</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑥⑥">MLOperand</a></code>. The filter 4-D tensor. The logical shape is
+      <p><em>filter</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑥⑦">MLOperand</a></code>. The filter 4-D tensor. The logical shape is
 interpreted according to the value of <em>options</em>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-filterlayout" id="ref-for-dom-mlconv2doptions-filterlayout①">filterLayout</a></code> and <em>options</em>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-groups" id="ref-for-dom-mlconv2doptions-groups①">groups</a></code>.</p>
      <li data-md>
       <p><em>options</em>: an <code class="idl"><a data-link-type="idl" href="#dictdef-mlconv2doptions" id="ref-for-dictdef-mlconv2doptions②">MLConv2dOptions</a></code>. The optional parameters of the operation.</p>
     </ul>
-    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑥⑦">MLOperand</a></code>. The output 4-D tensor that contains the convolution result. The output shape is interpreted according to the <em>options</em>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-inputlayout" id="ref-for-dom-mlconv2doptions-inputlayout②">inputLayout</a></code> value. More specifically, the spatial dimensions or the sizes of the last two dimensions of the output tensor for the <em>nchw</em> input layout can be calculated as follow:</p>
+    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑥⑧">MLOperand</a></code>. The output 4-D tensor that contains the convolution result. The output shape is interpreted according to the <em>options</em>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-inputlayout" id="ref-for-dom-mlconv2doptions-inputlayout②">inputLayout</a></code> value. More specifically, the spatial dimensions or the sizes of the last two dimensions of the output tensor for the <em>nchw</em> input layout can be calculated as follow:</p>
     <p><em>outputSize = 1 + (inputSize - (filterSize - 1) *</em> <em>dilation - 1 + beginningPadding + endingPadding) / stride</em></p>
    </div>
    <div class="note" role="note"> A <em>depthwise</em> conv2d operation is a variant of grouped convolution, used in models like the MobileNet, where the <em>options.groups</em> = inputChannels = outputChannels and the shape of filter tensor is [options.groups, 1, height, width]
@@ -3227,97 +3264,97 @@ <h4 class="heading settled" data-level="7.6.8" id="api-mlgraphbuilder-conv2d"><s
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert②①">Assert</a>: the type of <var>input</var> and <var>filter</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑥⑧">MLOperand</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert①⑧">Assert</a>: the type of <var>input</var> and <var>filter</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑥⑨">MLOperand</a></code>.</p>
       <li data-md>
-       <p>Let <var>inputSize</var> be the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size①⓪">size</a> of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot②①">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②⑧">dimensions</a></code>.</p>
+       <p>Let <var>inputSize</var> be the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size⑧">size</a> of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①⑥">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②③">dimensions</a></code>.</p>
       <li data-md>
-       <p>Let <var>filterSize</var> be the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size①①">size</a> of <var>filter</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot②②">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②⑨">dimensions</a></code>.</p>
+       <p>Let <var>filterSize</var> be the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size⑨">size</a> of <var>filter</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①⑦">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②④">dimensions</a></code>.</p>
       <li data-md>
-       <p>If <var>inputSize</var> is not 4, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑤⑨">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror①⑥">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException④②">DOMException</a></code>.</p>
+       <p>If <var>inputSize</var> is not 4, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑥③">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror①⑤">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException④③">DOMException</a></code>.</p>
       <li data-md>
-       <p>If <var>filterSize</var> is not 4, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑥⓪">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror①⑦">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException④③">DOMException</a></code>.</p>
+       <p>If <var>filterSize</var> is not 4, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑥④">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror①⑥">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException④④">DOMException</a></code>.</p>
       <li data-md>
-       <p>If <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot②③">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype⑨">dataType</a></code> is not the same as <var>filter</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot②④">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①⓪">dataType</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑥①">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror①⑨">TypeError</a></code>.</p>
+       <p>If <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①⑧">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype⑨">dataType</a></code> is not the same as <var>filter</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①⑨">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①⓪">dataType</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑥⑤">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror①⑧">TypeError</a></code>.</p>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-padding" id="ref-for-dom-mlconv2doptions-padding③">padding</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists①②">exist</a>, set it to <code>« 0, 0, 0, 0 »</code>.</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-padding" id="ref-for-dom-mlconv2doptions-padding③">padding</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑨">exist</a>, set it to <code>« 0, 0, 0, 0 »</code>.</p>
       <li data-md>
-       <p>Else if the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size①②">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-padding" id="ref-for-dom-mlconv2doptions-padding④">padding</a></code> is not 4, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑥②">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror①⑧">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException④④">DOMException</a></code>.</p>
+       <p>Else if the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size①⓪">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-padding" id="ref-for-dom-mlconv2doptions-padding④">padding</a></code> is not 4, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑥⑥">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror①⑦">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException④⑤">DOMException</a></code>.</p>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-strides" id="ref-for-dom-mlconv2doptions-strides①">strides</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists①③">exist</a>, set it to <code>« 1, 1 »</code>.</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-strides" id="ref-for-dom-mlconv2doptions-strides①">strides</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists①⓪">exist</a>, set it to <code>« 1, 1 »</code>.</p>
       <li data-md>
-       <p>Else if the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size①③">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-strides" id="ref-for-dom-mlconv2doptions-strides②">strides</a></code> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑥③">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror②⓪">TypeError</a></code>.</p>
+       <p>Else if the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size①①">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-strides" id="ref-for-dom-mlconv2doptions-strides②">strides</a></code> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑥⑦">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror①⑨">TypeError</a></code>.</p>
       <li data-md>
-       <p>If any element in <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-strides" id="ref-for-dom-mlconv2doptions-strides③">strides</a></code> is equal to 0, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑥④">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror②①">TypeError</a></code>.</p>
+       <p>If any element in <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-strides" id="ref-for-dom-mlconv2doptions-strides③">strides</a></code> is equal to 0, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑥⑧">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror②⓪">TypeError</a></code>.</p>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-dilations" id="ref-for-dom-mlconv2doptions-dilations①">dilations</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists①④">exist</a>, set it to <code>« 1, 1 »</code>.</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-dilations" id="ref-for-dom-mlconv2doptions-dilations①">dilations</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists①①">exist</a>, set it to <code>« 1, 1 »</code>.</p>
       <li data-md>
-       <p>Else if the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size①④">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-dilations" id="ref-for-dom-mlconv2doptions-dilations②">dilations</a></code> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑥⑤">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror②②">TypeError</a></code>.</p>
+       <p>Else if the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size①②">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-dilations" id="ref-for-dom-mlconv2doptions-dilations②">dilations</a></code> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑥⑨">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror②①">TypeError</a></code>.</p>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-autopad" id="ref-for-dom-mlconv2doptions-autopad①">autoPad</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists①⑤">exist</a>, set it to <code>"explicit"</code>.</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-autopad" id="ref-for-dom-mlconv2doptions-autopad①">autoPad</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists①②">exist</a>, set it to <code>"explicit"</code>.</p>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-groups" id="ref-for-dom-mlconv2doptions-groups②">groups</a></code> is 0, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑥⑥">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror①⑨">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException④⑤">DOMException</a></code>.</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-groups" id="ref-for-dom-mlconv2doptions-groups②">groups</a></code> is 0, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑦⓪">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror①⑧">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException④⑥">DOMException</a></code>.</p>
       <li data-md>
-       <p>If <var>inputSize</var> / <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-groups" id="ref-for-dom-mlconv2doptions-groups③">groups</a></code> is not equal to <var>filterSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑥⑦">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror②⓪">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException④⑥">DOMException</a></code>.</p>
+       <p>If <var>inputSize</var> / <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-groups" id="ref-for-dom-mlconv2doptions-groups③">groups</a></code> is not equal to <var>filterSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑦①">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror①⑨">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException④⑦">DOMException</a></code>.</p>
       <li data-md>
-       <p>Else if <var>inputSize</var> % <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-groups" id="ref-for-dom-mlconv2doptions-groups④">groups</a></code> is not 0, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑥⑧">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror②①">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException④⑦">DOMException</a></code>.</p>
+       <p>Else if <var>inputSize</var> % <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-groups" id="ref-for-dom-mlconv2doptions-groups④">groups</a></code> is not 0, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑦②">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror②⓪">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException④⑧">DOMException</a></code>.</p>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-bias" id="ref-for-dom-mlconv2doptions-bias①">bias</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists①⑥">exists</a>:</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-bias" id="ref-for-dom-mlconv2doptions-bias①">bias</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists①③">exists</a>:</p>
        <ol>
         <li data-md>
-         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert②②">Assert</a>: the type of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-bias" id="ref-for-dom-mlconv2doptions-bias②">bias</a></code> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑥⑨">MLOperand</a></code>.</p>
+         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert①⑨">Assert</a>: the type of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-bias" id="ref-for-dom-mlconv2doptions-bias②">bias</a></code> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑦⓪">MLOperand</a></code>.</p>
        </ol>
       <li data-md>
-       <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size①⑤">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-bias" id="ref-for-dom-mlconv2doptions-bias③">bias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot②⑤">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③⓪">dimensions</a></code> is not 1, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑥⑨">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror②③">TypeError</a></code>.</p>
+       <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size①③">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-bias" id="ref-for-dom-mlconv2doptions-bias③">bias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot②⓪">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②⑤">dimensions</a></code> is not 1, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑦③">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror②②">TypeError</a></code>.</p>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-bias" id="ref-for-dom-mlconv2doptions-bias④">bias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot②⑥">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①①">dataType</a></code> is not the same as <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot②⑦">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①②">dataType</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑦⓪">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror②④">TypeError</a></code>.</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-bias" id="ref-for-dom-mlconv2doptions-bias④">bias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot②①">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①①">dataType</a></code> is not the same as <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot②②">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①②">dataType</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑦④">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror②③">TypeError</a></code>.</p>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-activation" id="ref-for-dom-mlconv2doptions-activation①">activation</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists①⑦">exists</a>:</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-activation" id="ref-for-dom-mlconv2doptions-activation①">activation</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists①④">exists</a>:</p>
        <ol>
         <li data-md>
-         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert②③">Assert</a>: the type of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-activation" id="ref-for-dom-mlconv2doptions-activation②">activation</a></code> is <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation①⑥">MLActivation</a></code>.</p>
+         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert②⓪">Assert</a>: the type of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-activation" id="ref-for-dom-mlconv2doptions-activation②">activation</a></code> is <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation①⑦">MLActivation</a></code>.</p>
        </ol>
       <li data-md>
        <p>Let <var>outputShape</var> be the result of invoking the underlying implementation for calculating output dimensions, given <var>options</var>.</p>
       <li data-md>
-       <p>If <var>outputShape</var> is not the same as the shape of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-bias" id="ref-for-dom-mlconv2doptions-bias⑤">bias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot②⑧">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③①">dimensions</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑦①">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror②②">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException④⑧">DOMException</a></code>.</p>
+       <p>If <var>outputShape</var> is not the same as the shape of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-bias" id="ref-for-dom-mlconv2doptions-bias⑤">bias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot②③">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②⑥">dimensions</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑦⑤">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror②①">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException④⑨">DOMException</a></code>.</p>
       <li data-md>
-       <p>Let <var>desc</var> a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①④">MLOperandDescriptor</a></code>.</p>
+       <p>Let <var>desc</var> a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①①">MLOperandDescriptor</a></code>.</p>
       <li data-md>
-       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①③">dataType</a></code> to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot②⑨">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①④">dataType</a></code>.</p>
+       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①③">dataType</a></code> to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot②④">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①④">dataType</a></code>.</p>
       <li data-md>
-       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③②">dimensions</a></code> to <var>outputShape</var>.</p>
+       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②⑦">dimensions</a></code> to <var>outputShape</var>.</p>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑦②">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror①⑦">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException④⑨">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑦⑥">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror①⑨">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑤⓪">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand⑤">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this①④">this</a> and <var>desc</var>.</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand⑦">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this①⑥">this</a> and <var>desc</var>.</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined①④">implementation-defined</a> platform operator <var>conv2dImpl</var> for this method, given <var>options</var> and <var>filter</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined①⑦">implementation-defined</a> platform operator <var>conv2dImpl</var> for this method, given <var>options</var> and <var>filter</var>.</p>
            <ol>
             <li data-md>
-             <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-activation" id="ref-for-dom-mlconv2doptions-activation③">activation</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists①⑧">exists</a>,register it as activation to <var>conv2dImpl</var>.</p>
+             <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-activation" id="ref-for-dom-mlconv2doptions-activation③">activation</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists①⑤">exists</a>,register it as activation to <var>conv2dImpl</var>.</p>
            </ol>
           <li data-md>
-           <p>Store a reference of <var>conv2dImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot③">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>conv2dImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot⑤">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined①⑤">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>conv2dImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined①⑧">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>conv2dImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑨">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①⑤">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①⓪">[[operand]]</a></code> as input to <var>conv2dImpl</var>.</p>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①⑥">[[operand]]</a></code> as input to <var>conv2dImpl</var>.</p>
         <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①①">[[operand]]</a></code> as output to <var>conv2dImpl</var>.</p>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①⑦">[[operand]]</a></code> as output to <var>conv2dImpl</var>.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.6.9" id="api-mlgraphbuilder-convtranspose2d"><span class="secno">7.6.9. </span><span class="content">The convTranspose2d() method</span><a class="self-link" href="#api-mlgraphbuilder-convtranspose2d"></a></h4>
+   <h4 class="heading settled" data-level="7.7.10" id="api-mlgraphbuilder-convtranspose2d"><span class="secno">7.7.10. </span><span class="content">convTranspose2d</span><a class="self-link" href="#api-mlgraphbuilder-convtranspose2d"></a></h4>
     Compute a 2-D transposed convolution given 4-D input and filter tensors 
 <pre class="idl highlight def"><c- b>enum</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="enum" data-export id="enumdef-mlconvtranspose2dfilteroperandlayout"><code><c- g>MLConvTranspose2dFilterOperandLayout</c-></code></dfn> {
   <dfn class="idl-code" data-dfn-for="MLConvTranspose2dFilterOperandLayout" data-dfn-type="enum-value" data-export id="dom-mlconvtranspose2dfilteroperandlayout-iohw"><code><c- s>"iohw"</c-></code><a class="self-link" href="#dom-mlconvtranspose2dfilteroperandlayout-iohw"></a></dfn>,
@@ -3326,21 +3363,21 @@ <h4 class="heading settled" data-level="7.6.9" id="api-mlgraphbuilder-convtransp
 };
 
 <c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlconvtranspose2doptions"><code><c- g>MLConvTranspose2dOptions</c-></code></dfn> {
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence⑤"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①④"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlconvtranspose2doptions-padding" id="ref-for-dom-mlconvtranspose2doptions-padding"><c- g>padding</c-></a>;
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence⑥"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①⑤"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlconvtranspose2doptions-strides" id="ref-for-dom-mlconvtranspose2doptions-strides"><c- g>strides</c-></a>;
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence⑦"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①⑥"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlconvtranspose2doptions-dilations" id="ref-for-dom-mlconvtranspose2doptions-dilations"><c- g>dilations</c-></a>;
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence⑧"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①⑦"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlconvtranspose2doptions-outputpadding" id="ref-for-dom-mlconvtranspose2doptions-outputpadding"><c- g>outputPadding</c-></a>;
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence⑨"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①⑧"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlconvtranspose2doptions-outputsizes" id="ref-for-dom-mlconvtranspose2doptions-outputsizes"><c- g>outputSizes</c-></a>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence⑤"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①⑥"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlconvtranspose2doptions-padding" id="ref-for-dom-mlconvtranspose2doptions-padding"><c- g>padding</c-></a>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence⑥"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①⑦"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlconvtranspose2doptions-strides" id="ref-for-dom-mlconvtranspose2doptions-strides"><c- g>strides</c-></a>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence⑦"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①⑧"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlconvtranspose2doptions-dilations" id="ref-for-dom-mlconvtranspose2doptions-dilations"><c- g>dilations</c-></a>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence⑧"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①⑨"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlconvtranspose2doptions-outputpadding" id="ref-for-dom-mlconvtranspose2doptions-outputpadding"><c- g>outputPadding</c-></a>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence⑨"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long②⓪"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlconvtranspose2doptions-outputsizes" id="ref-for-dom-mlconvtranspose2doptions-outputsizes"><c- g>outputSizes</c-></a>;
   <a data-link-type="idl-name" href="#enumdef-mlautopad" id="ref-for-enumdef-mlautopad③"><c- n>MLAutoPad</c-></a> <a class="idl-code" data-default="&quot;explicit&quot;" data-link-type="dict-member" data-type="MLAutoPad " href="#dom-mlconvtranspose2doptions-autopad" id="ref-for-dom-mlconvtranspose2doptions-autopad"><c- g>autoPad</c-></a> = "explicit";
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①⑨"><c- b>unsigned</c-> <c- b>long</c-></a> <a class="idl-code" data-default="1" data-link-type="dict-member" data-type="unsigned long " href="#dom-mlconvtranspose2doptions-groups" id="ref-for-dom-mlconvtranspose2doptions-groups"><c- g>groups</c-></a> = 1;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long②①"><c- b>unsigned</c-> <c- b>long</c-></a> <a class="idl-code" data-default="1" data-link-type="dict-member" data-type="unsigned long " href="#dom-mlconvtranspose2doptions-groups" id="ref-for-dom-mlconvtranspose2doptions-groups"><c- g>groups</c-></a> = 1;
   <a data-link-type="idl-name" href="#enumdef-mlinputoperandlayout" id="ref-for-enumdef-mlinputoperandlayout③"><c- n>MLInputOperandLayout</c-></a> <a class="idl-code" data-default="&quot;nchw&quot;" data-link-type="dict-member" data-type="MLInputOperandLayout " href="#dom-mlconvtranspose2doptions-inputlayout" id="ref-for-dom-mlconvtranspose2doptions-inputlayout"><c- g>inputLayout</c-></a> = "nchw";
   <a data-link-type="idl-name" href="#enumdef-mlconvtranspose2dfilteroperandlayout" id="ref-for-enumdef-mlconvtranspose2dfilteroperandlayout"><c- n>MLConvTranspose2dFilterOperandLayout</c-></a> <a class="idl-code" data-default="&quot;iohw&quot;" data-link-type="dict-member" data-type="MLConvTranspose2dFilterOperandLayout " href="#dom-mlconvtranspose2doptions-filterlayout" id="ref-for-dom-mlconvtranspose2doptions-filterlayout"><c- g>filterLayout</c-></a> = "iohw";
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑦⓪"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlconvtranspose2doptions-bias" id="ref-for-dom-mlconvtranspose2doptions-bias"><c- g>bias</c-></a>;
-  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation①⑦"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLActivation " href="#dom-mlconvtranspose2doptions-activation" id="ref-for-dom-mlconvtranspose2doptions-activation"><c- g>activation</c-></a>;
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑦①"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlconvtranspose2doptions-bias" id="ref-for-dom-mlconvtranspose2doptions-bias"><c- g>bias</c-></a>;
+  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation①⑧"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLActivation " href="#dom-mlconvtranspose2doptions-activation" id="ref-for-dom-mlconvtranspose2doptions-activation"><c- g>activation</c-></a>;
 };
 
-<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder②⑦"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑦①"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-convtranspose2d" id="ref-for-dom-mlgraphbuilder-convtranspose2d"><c- g>convTranspose2d</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑦②"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/convTranspose2d(input, filter, options), MLGraphBuilder/convTranspose2d(input, filter)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-convtranspose2d-input-filter-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-convtranspose2d-input-filter-options-input"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑦③"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/convTranspose2d(input, filter, options), MLGraphBuilder/convTranspose2d(input, filter)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-convtranspose2d-input-filter-options-filter"><code><c- g>filter</c-></code><a class="self-link" href="#dom-mlgraphbuilder-convtranspose2d-input-filter-options-filter"></a></dfn>,
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder②⑥"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑦②"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-convtranspose2d" id="ref-for-dom-mlgraphbuilder-convtranspose2d"><c- g>convTranspose2d</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑦③"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/convTranspose2d(input, filter, options), MLGraphBuilder/convTranspose2d(input, filter)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-convtranspose2d-input-filter-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-convtranspose2d-input-filter-options-input"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑦④"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/convTranspose2d(input, filter, options), MLGraphBuilder/convTranspose2d(input, filter)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-convtranspose2d-input-filter-options-filter"><code><c- g>filter</c-></code><a class="self-link" href="#dom-mlgraphbuilder-convtranspose2d-input-filter-options-filter"></a></dfn>,
                             <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlconvtranspose2doptions" id="ref-for-dictdef-mlconvtranspose2doptions"><c- n>MLConvTranspose2dOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/convTranspose2d(input, filter, options), MLGraphBuilder/convTranspose2d(input, filter)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-convtranspose2d-input-filter-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-convtranspose2d-input-filter-options-options"></a></dfn> = {});
 };
 </pre>
@@ -3348,45 +3385,45 @@ <h4 class="heading settled" data-level="7.6.9" id="api-mlgraphbuilder-convtransp
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export id="dom-mlconvtranspose2doptions-padding"><code>padding</code></dfn>, <span> of type <code class="idl-code">sequence&lt;unsigned long></code></span>
     <dd data-md>
-     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long②⓪">unsigned long</a></code> of length 4: [beginningHeight, endingHeight, beginningWidth, endingWidth].
+     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long②②">unsigned long</a></code> of length 4: [beginningHeight, endingHeight, beginningWidth, endingWidth].
 Specifies the additional rows and columns added to the beginning and ending of each spatial dimension of the convolution input.
 The default value is [0, 0, 0, 0].</p>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export id="dom-mlconvtranspose2doptions-strides"><code>strides</code></dfn>, <span> of type <code class="idl-code">sequence&lt;unsigned long></code></span>
     <dd data-md>
-     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long②①">unsigned long</a></code> of length 2: [strideHeight, strideWidth].
+     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long②③">unsigned long</a></code> of length 2: [strideHeight, strideWidth].
 Specifies the stride of the sliding window for each spatial dimension of the convolution input.
 The default value is [1, 1].</p>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export id="dom-mlconvtranspose2doptions-dilations"><code>dilations</code></dfn>, <span> of type <code class="idl-code">sequence&lt;unsigned long></code></span>
     <dd data-md>
-     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long②②">unsigned long</a></code> of length 2: [dilationHeight, dilationWidth]. Specifies the dilation factor for each spatial dimension applied on the convolution filter (kernel).
+     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long②④">unsigned long</a></code> of length 2: [dilationHeight, dilationWidth]. Specifies the dilation factor for each spatial dimension applied on the convolution filter (kernel).
 The default value is [1, 1].</p>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export id="dom-mlconvtranspose2doptions-outputpadding"><code>outputPadding</code></dfn>, <span> of type <code class="idl-code">sequence&lt;unsigned long></code></span>
     <dd data-md>
-     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long②③">unsigned long</a></code> of length 2.
+     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long②⑤">unsigned long</a></code> of length 2.
 Specifies the padding values applied to each spatial dimension of the output tensor. The explicit padding values are needed to disambiguate the output tensor shape for transposed convolution when the value of the <em>options</em>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-strides" id="ref-for-dom-mlconvtranspose2doptions-strides①">strides</a></code> is greater than 1.</p>
      <p>Note that these values are only used to disambiguate output shape when needed; it does not necessarily cause any padding value to be written to the output tensor.</p>
      <p>The default values is [0, 0].</p>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export id="dom-mlconvtranspose2doptions-outputsizes"><code>outputSizes</code></dfn>, <span> of type <code class="idl-code">sequence&lt;unsigned long></code></span>
     <dd data-md>
-     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long②④">unsigned long</a></code> of length 2.
+     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long②⑥">unsigned long</a></code> of length 2.
 Specifies the sizes of the last two dimensions of the output tensor. When the output sizes are explicitly specified, the output padding values in <code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-outputpadding" id="ref-for-dom-mlconvtranspose2doptions-outputpadding①">outputPadding</a></code> are ignored.</p>
      <p>If not specified, the output sizes are automatically computed.</p>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export id="dom-mlconvtranspose2doptions-autopad"><code>autoPad</code></dfn>, <span> of type <a data-link-type="idl-name" href="#enumdef-mlautopad" id="ref-for-enumdef-mlautopad④">MLAutoPad</a>, defaulting to <code>"explicit"</code></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#enumdef-mlautopad" id="ref-for-enumdef-mlautopad⑤">MLAutoPad</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string⑦">string</a>.
+     <p>An <code class="idl"><a data-link-type="idl" href="#enumdef-mlautopad" id="ref-for-enumdef-mlautopad⑤">MLAutoPad</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string⑤">string</a>.
 Specifies the automatic input padding options.
 The default value is <em>"explicit"</em>, which means that the values in the <code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-padding" id="ref-for-dom-mlconvtranspose2doptions-padding①">padding</a></code> array should be used for input padding.</p>
      <p>When the option is set other than <em>"explicit"</em>, the values in the <code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-padding" id="ref-for-dom-mlconvtranspose2doptions-padding②">padding</a></code> array are ignored.</p>
      <p>With the <em>"same-upper"</em> option, the padding values are automatically computed such that the additional ending padding of the spatial input dimensions would allow all of the input values in the corresponding dimension to be filtered.</p>
      <p>The <em>"same-lower"</em> option is similar but padding is applied to the beginning padding of the spatial input dimensions instead of the ending one.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export id="dom-mlconvtranspose2doptions-groups"><code>groups</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long②⑤">unsigned long</a>, defaulting to <code>1</code></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export id="dom-mlconvtranspose2doptions-groups"><code>groups</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long②⑦">unsigned long</a>, defaulting to <code>1</code></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long②⑥">unsigned long</a></code> scalar.
+     <p>An <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long②⑧">unsigned long</a></code> scalar.
 Specifies the number of groups that input channels and output channels are divided into.
 The default value is 1.</p>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export id="dom-mlconvtranspose2doptions-inputlayout"><code>inputLayout</code></dfn>, <span> of type <a data-link-type="idl-name" href="#enumdef-mlinputoperandlayout" id="ref-for-enumdef-mlinputoperandlayout④">MLInputOperandLayout</a>, defaulting to <code>"nchw"</code></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#enumdef-mlinputoperandlayout" id="ref-for-enumdef-mlinputoperandlayout⑤">MLInputOperandLayout</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string⑧">string</a>.
+     <p>An <code class="idl"><a data-link-type="idl" href="#enumdef-mlinputoperandlayout" id="ref-for-enumdef-mlinputoperandlayout⑤">MLInputOperandLayout</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string⑥">string</a>.
 Specifies the layout format of the input and output tensor as follows:</p>
      <ul>
       <li data-md>
@@ -3409,7 +3446,7 @@ <h4 class="heading settled" data-level="7.6.9" id="api-mlgraphbuilder-convtransp
      The default value is <em>"nchw"</em>. 
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export id="dom-mlconvtranspose2doptions-filterlayout"><code>filterLayout</code></dfn>, <span> of type <a data-link-type="idl-name" href="#enumdef-mlconvtranspose2dfilteroperandlayout" id="ref-for-enumdef-mlconvtranspose2dfilteroperandlayout①">MLConvTranspose2dFilterOperandLayout</a>, defaulting to <code>"iohw"</code></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#enumdef-mlconvtranspose2dfilteroperandlayout" id="ref-for-enumdef-mlconvtranspose2dfilteroperandlayout②">MLConvTranspose2dFilterOperandLayout</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string⑨">string</a>.
+     <p>An <code class="idl"><a data-link-type="idl" href="#enumdef-mlconvtranspose2dfilteroperandlayout" id="ref-for-enumdef-mlconvtranspose2dfilteroperandlayout②">MLConvTranspose2dFilterOperandLayout</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string⑦">string</a>.
 Specifies the layout format of the filter tensor as follow:</p>
      <ul>
       <li data-md>
@@ -3420,28 +3457,28 @@ <h4 class="heading settled" data-level="7.6.9" id="api-mlgraphbuilder-convtransp
        <p><strong>"ohwi"</strong>: [outputChannels/groups, height, width, inputChannels]</p>
      </ul>
      The default value is <em>"iohw"</em>. 
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export id="dom-mlconvtranspose2doptions-bias"><code>bias</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑦④">MLOperand</a></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export id="dom-mlconvtranspose2doptions-bias"><code>bias</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑦⑤">MLOperand</a></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑦⑤">MLOperand</a></code> object.
+     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑦⑥">MLOperand</a></code> object.
 Specifies the additional 1-D tensor with the shape of <em>[outputChannels]</em> whose values are to be added to the convolution result.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export id="dom-mlconvtranspose2doptions-activation"><code>activation</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation①⑧">MLActivation</a></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export id="dom-mlconvtranspose2doptions-activation"><code>activation</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation①⑨">MLActivation</a></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation①⑨">MLActivation</a></code> object.
+     <p>An <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation②⓪">MLActivation</a></code> object.
 Specifies the optional activation function that immediately follows the convolution operation.</p>
    </dl>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑦⑥">MLOperand</a></code>. The input 4-D tensor. The logical shape
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑦⑦">MLOperand</a></code>. The input 4-D tensor. The logical shape
 is interpreted according to the value of <em>options</em>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-inputlayout" id="ref-for-dom-mlconvtranspose2doptions-inputlayout①">inputLayout</a></code>.</p>
      <li data-md>
-      <p><em>filter</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑦⑦">MLOperand</a></code>. The filter 4-D tensor. The logical shape is
+      <p><em>filter</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑦⑧">MLOperand</a></code>. The filter 4-D tensor. The logical shape is
 interpreted according to the value of <em>options</em>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-filterlayout" id="ref-for-dom-mlconvtranspose2doptions-filterlayout①">filterLayout</a></code> and <code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-groups" id="ref-for-dom-mlconvtranspose2doptions-groups①">groups</a></code>.</p>
      <li data-md>
       <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlconvtranspose2doptions" id="ref-for-dictdef-mlconvtranspose2doptions②">MLConvTranspose2dOptions</a></code>.</p>
     </ul>
-    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑦⑧">MLOperand</a></code>. The output 4-D tensor that contains the transposed convolution result. The output shape is interpreted according to the <em>options</em>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-inputlayout" id="ref-for-dom-mlconvtranspose2doptions-inputlayout②">inputLayout</a></code> value. More specifically, unless the <em>options</em>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-outputsizes" id="ref-for-dom-mlconvtranspose2doptions-outputsizes①">outputSizes</a></code> values are explicitly specified, the <em>options</em>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-outputpadding" id="ref-for-dom-mlconvtranspose2doptions-outputpadding②">outputPadding</a></code> may be needed to compute the spatial dimension values of the output tensor as follow:</p>
+    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑦⑨">MLOperand</a></code>. The output 4-D tensor that contains the transposed convolution result. The output shape is interpreted according to the <em>options</em>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-inputlayout" id="ref-for-dom-mlconvtranspose2doptions-inputlayout②">inputLayout</a></code> value. More specifically, unless the <em>options</em>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-outputsizes" id="ref-for-dom-mlconvtranspose2doptions-outputsizes①">outputSizes</a></code> values are explicitly specified, the <em>options</em>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-outputpadding" id="ref-for-dom-mlconvtranspose2doptions-outputpadding②">outputPadding</a></code> may be needed to compute the spatial dimension values of the output tensor as follow:</p>
     <p><em>outputSize = (inputSize - 1) *</em> <em>stride + (filterSize - 1) *</em> <em>dilation + 1 - beginningPadding - endingPadding + outputPadding</em></p>
    </div>
    <details class="algorithm" data-algorithm="convTranspose2d(input, filter, options)" data-algorithm-for="MLGraphBuilder" open>
@@ -3449,127 +3486,127 @@ <h4 class="heading settled" data-level="7.6.9" id="api-mlgraphbuilder-convtransp
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert②④">Assert</a>: the type of <var>input</var> and <var>filter</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑦⑨">MLOperand</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert②①">Assert</a>: the type of <var>input</var> and <var>filter</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑧⓪">MLOperand</a></code>.</p>
       <li data-md>
-       <p>Let <var>inputSize</var> be the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size①⑥">size</a> of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot③⓪">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③③">dimensions</a></code>.</p>
+       <p>Let <var>inputSize</var> be the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size①④">size</a> of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot②⑤">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②⑧">dimensions</a></code>.</p>
       <li data-md>
-       <p>Let <var>filterSize</var> be the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size①⑦">size</a> of <var>filter</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot③①">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③④">dimensions</a></code>.</p>
+       <p>Let <var>filterSize</var> be the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size①⑤">size</a> of <var>filter</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot②⑥">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②⑨">dimensions</a></code>.</p>
       <li data-md>
-       <p>If <var>inputSize</var> is not 4, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑦③">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror②③">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑤⓪">DOMException</a></code>.</p>
+       <p>If <var>inputSize</var> is not 4, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑦⑦">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror②②">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑤①">DOMException</a></code>.</p>
       <li data-md>
-       <p>If <var>filterSize</var> is not 4, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑦④">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror②④">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑤①">DOMException</a></code>.</p>
+       <p>If <var>filterSize</var> is not 4, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑦⑧">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror②③">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑤②">DOMException</a></code>.</p>
       <li data-md>
-       <p>If <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot③②">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①⑤">dataType</a></code> is not the same as <code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot③③">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①⑥">dataType</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑦⑤">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror②⑤">TypeError</a></code>.</p>
+       <p>If <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot②⑦">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①⑤">dataType</a></code> is not the same as <code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot②⑧">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①⑥">dataType</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑦⑨">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror②④">TypeError</a></code>.</p>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-padding" id="ref-for-dom-mlconvtranspose2doptions-padding③">padding</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists①⑨">exist</a>, set it to <code>« 0, 0, 0, 0 »</code>.</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-padding" id="ref-for-dom-mlconvtranspose2doptions-padding③">padding</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists①⑥">exist</a>, set it to <code>« 0, 0, 0, 0 »</code>.</p>
       <li data-md>
-       <p>Else if the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size①⑧">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-padding" id="ref-for-dom-mlconvtranspose2doptions-padding④">padding</a></code> is not 4, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑦⑥">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror②⑤">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑤②">DOMException</a></code>.</p>
+       <p>Else if the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size①⑥">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-padding" id="ref-for-dom-mlconvtranspose2doptions-padding④">padding</a></code> is not 4, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑧⓪">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror②④">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑤③">DOMException</a></code>.</p>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-strides" id="ref-for-dom-mlconvtranspose2doptions-strides②">strides</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists②⓪">exist</a>, set it to <code>« 1, 1 »</code>.</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-strides" id="ref-for-dom-mlconvtranspose2doptions-strides②">strides</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists①⑦">exist</a>, set it to <code>« 1, 1 »</code>.</p>
       <li data-md>
-       <p>Else if the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size①⑨">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-strides" id="ref-for-dom-mlconvtranspose2doptions-strides③">strides</a></code> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑦⑦">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror②⑥">TypeError</a></code>.</p>
+       <p>Else if the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size①⑦">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-strides" id="ref-for-dom-mlconvtranspose2doptions-strides③">strides</a></code> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑧①">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror②⑤">TypeError</a></code>.</p>
       <li data-md>
-       <p>If any element in <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-strides" id="ref-for-dom-mlconv2doptions-strides④">strides</a></code> is equal to 0, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑦⑧">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror②⑦">TypeError</a></code>.</p>
+       <p>If any element in <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-strides" id="ref-for-dom-mlconv2doptions-strides④">strides</a></code> is equal to 0, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑧②">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror②⑥">TypeError</a></code>.</p>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-dilations" id="ref-for-dom-mlconvtranspose2doptions-dilations①">dilations</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists②①">exist</a>, set it to <code>« 1, 1 »</code>.</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-dilations" id="ref-for-dom-mlconvtranspose2doptions-dilations①">dilations</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists①⑧">exist</a>, set it to <code>« 1, 1 »</code>.</p>
       <li data-md>
-       <p>Else if the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size②⓪">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-dilations" id="ref-for-dom-mlconvtranspose2doptions-dilations②">dilations</a></code> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑦⑨">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror②⑧">TypeError</a></code>.</p>
+       <p>Else if the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size①⑧">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-dilations" id="ref-for-dom-mlconvtranspose2doptions-dilations②">dilations</a></code> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑧③">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror②⑦">TypeError</a></code>.</p>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-outputpadding" id="ref-for-dom-mlconvtranspose2doptions-outputpadding③">outputPadding</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists②②">exist</a>, set it to <code>« 0, 0 »</code>.</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-outputpadding" id="ref-for-dom-mlconvtranspose2doptions-outputpadding③">outputPadding</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists①⑨">exist</a>, set it to <code>« 0, 0 »</code>.</p>
       <li data-md>
-       <p>Else if the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size②①">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-outputpadding" id="ref-for-dom-mlconvtranspose2doptions-outputpadding④">outputPadding</a></code> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑧⓪">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror②⑨">TypeError</a></code>.</p>
+       <p>Else if the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size①⑨">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-outputpadding" id="ref-for-dom-mlconvtranspose2doptions-outputpadding④">outputPadding</a></code> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑧④">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror②⑧">TypeError</a></code>.</p>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-outputsizes" id="ref-for-dom-mlconvtranspose2doptions-outputsizes②">outputSizes</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists②③">exists</a>:</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-outputsizes" id="ref-for-dom-mlconvtranspose2doptions-outputsizes②">outputSizes</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists②⓪">exists</a>:</p>
        <ol>
         <li data-md>
-         <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size②②">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-outputsizes" id="ref-for-dom-mlconvtranspose2doptions-outputsizes③">outputSizes</a></code> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑧①">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror③⓪">TypeError</a></code>.</p>
+         <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size②⓪">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-outputsizes" id="ref-for-dom-mlconvtranspose2doptions-outputsizes③">outputSizes</a></code> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑧⑤">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror②⑨">TypeError</a></code>.</p>
         <li data-md>
-         <p>If the elements of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-outputsizes" id="ref-for-dom-mlconvtranspose2doptions-outputsizes④">outputSizes</a></code> are not smaller than the elements at the same dimension (index) for <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-strides" id="ref-for-dom-mlconvtranspose2doptions-strides④">strides</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑧②">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror②⑥">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑤③">DOMException</a></code>.</p>
+         <p>If the elements of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-outputsizes" id="ref-for-dom-mlconvtranspose2doptions-outputsizes④">outputSizes</a></code> are not smaller than the elements at the same dimension (index) for <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-strides" id="ref-for-dom-mlconvtranspose2doptions-strides④">strides</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑧⑥">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror②⑤">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑤④">DOMException</a></code>.</p>
        </ol>
       <li data-md>
-       <p>If <var>inputSize</var> / <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-groups" id="ref-for-dom-mlconvtranspose2doptions-groups②">groups</a></code> is not equal to <var>filterSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑧③">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror②⑦">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑤④">DOMException</a></code>.</p>
+       <p>If <var>inputSize</var> / <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-groups" id="ref-for-dom-mlconvtranspose2doptions-groups②">groups</a></code> is not equal to <var>filterSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑧⑦">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror②⑥">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑤⑤">DOMException</a></code>.</p>
       <li data-md>
-       <p>Else if <var>inputSize</var> % <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-groups" id="ref-for-dom-mlconvtranspose2doptions-groups③">groups</a></code> is not 0, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑧④">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror②⑧">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑤⑤">DOMException</a></code>.</p>
+       <p>Else if <var>inputSize</var> % <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-groups" id="ref-for-dom-mlconvtranspose2doptions-groups③">groups</a></code> is not 0, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑧⑧">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror②⑦">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑤⑥">DOMException</a></code>.</p>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-bias" id="ref-for-dom-mlconvtranspose2doptions-bias①">bias</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists②④">exists</a>:</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-bias" id="ref-for-dom-mlconvtranspose2doptions-bias①">bias</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists②①">exists</a>:</p>
        <ol>
         <li data-md>
-         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert②⑤">Assert</a>: the type of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-bias" id="ref-for-dom-mlconvtranspose2doptions-bias②">bias</a></code> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑧⓪">MLOperand</a></code>.</p>
+         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert②②">Assert</a>: the type of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-bias" id="ref-for-dom-mlconvtranspose2doptions-bias②">bias</a></code> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑧①">MLOperand</a></code>.</p>
        </ol>
       <li data-md>
-       <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size②③">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-bias" id="ref-for-dom-mlconvtranspose2doptions-bias③">bias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot③④">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③⑤">dimensions</a></code> is not 1, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑧⑤">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror③①">TypeError</a></code>.</p>
+       <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size②①">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-bias" id="ref-for-dom-mlconvtranspose2doptions-bias③">bias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot②⑨">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③⓪">dimensions</a></code> is not 1, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑧⑨">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror③⓪">TypeError</a></code>.</p>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-bias" id="ref-for-dom-mlconvtranspose2doptions-bias④">bias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot③⑤">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①⑦">dataType</a></code> is not the same as <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot③⑥">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①⑧">dataType</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑧⑥">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror③②">TypeError</a></code>.</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-bias" id="ref-for-dom-mlconvtranspose2doptions-bias④">bias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot③⓪">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①⑦">dataType</a></code> is not the same as <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot③①">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①⑧">dataType</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑨⓪">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror③①">TypeError</a></code>.</p>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-activation" id="ref-for-dom-mlconvtranspose2doptions-activation①">activation</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists②⑤">exists</a>:</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-activation" id="ref-for-dom-mlconvtranspose2doptions-activation①">activation</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists②②">exists</a>:</p>
        <ol>
         <li data-md>
-         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert②⑥">Assert</a>: the type of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-activation" id="ref-for-dom-mlconvtranspose2doptions-activation②">activation</a></code> is <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation②⓪">MLActivation</a></code>.</p>
+         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert②③">Assert</a>: the type of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-activation" id="ref-for-dom-mlconvtranspose2doptions-activation②">activation</a></code> is <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation②①">MLActivation</a></code>.</p>
        </ol>
       <li data-md>
        <p>Let <var>outputShape</var> be the result of invoking the underlying implementation for calculating output dimensions, given <var>options</var>.</p>
       <li data-md>
-       <p>If <var>outputShape</var> is not the same as the shape of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-bias" id="ref-for-dom-mlconvtranspose2doptions-bias⑤">bias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot③⑦">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③⑥">dimensions</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑧⑦">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror②⑨">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑤⑥">DOMException</a></code>.</p>
+       <p>If <var>outputShape</var> is not the same as the shape of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-bias" id="ref-for-dom-mlconvtranspose2doptions-bias⑤">bias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot③②">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③①">dimensions</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑨①">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror②⑧">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑤⑦">DOMException</a></code>.</p>
       <li data-md>
-       <p>Let <var>desc</var> a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①⑤">MLOperandDescriptor</a></code>.</p>
+       <p>Let <var>desc</var> a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①②">MLOperandDescriptor</a></code>.</p>
       <li data-md>
-       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①⑨">dataType</a></code> to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot③⑧">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②⓪">dataType</a></code>.</p>
+       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①⑨">dataType</a></code> to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot③③">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②⓪">dataType</a></code>.</p>
       <li data-md>
-       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③⑦">dimensions</a></code> to <var>outputShape</var>.</p>
+       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③②">dimensions</a></code> to <var>outputShape</var>.</p>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑧⑧">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror①⑧">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑤⑦">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑨②">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror②⓪">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑤⑧">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand⑥">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this①⑤">this</a> and <var>desc</var>.</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand⑧">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this①⑦">this</a> and <var>desc</var>.</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined①⑥">implementation-defined</a> platform operator <var>convTranspose2dImpl</var> for this method, given <var>options</var> and <var>filter</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined①⑨">implementation-defined</a> platform operator <var>convTranspose2dImpl</var> for this method, given <var>options</var> and <var>filter</var>.</p>
            <ol>
             <li data-md>
-             <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-activation" id="ref-for-dom-mlconvtranspose2doptions-activation③">activation</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists②⑥">exists</a>,register it as activation to <var>convTranspose2dImpl</var>.</p>
+             <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-activation" id="ref-for-dom-mlconvtranspose2doptions-activation③">activation</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists②③">exists</a>,register it as activation to <var>convTranspose2dImpl</var>.</p>
            </ol>
           <li data-md>
-           <p>Store a reference of <var>convTranspose2dImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot④">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>convTranspose2dImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot⑥">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined①⑦">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>convTranspose2dImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined②⓪">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>convTranspose2dImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①②">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①⑧">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①③">[[operand]]</a></code> as input to <var>convTranspose2dImpl</var>.</p>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①⑨">[[operand]]</a></code> as input to <var>convTranspose2dImpl</var>.</p>
         <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①④">[[operand]]</a></code> as output to <var>convTranspose2dImpl</var>.</p>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot②⓪">[[operand]]</a></code> as output to <var>convTranspose2dImpl</var>.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.6.10" id="api-mlgraphbuilder-binary"><span class="secno">7.6.10. </span><span class="content">Element-wise binary operations</span><a class="self-link" href="#api-mlgraphbuilder-binary"></a></h4>
+   <h4 class="heading settled" data-level="7.7.11" id="api-mlgraphbuilder-binary"><span class="secno">7.7.11. </span><span class="content">Element-wise binary operations</span><a class="self-link" href="#api-mlgraphbuilder-binary"></a></h4>
     Compute the element-wise binary addition, subtraction, multiplication, division, power, maximum and minimum of the two input tensors. 
-   <p>The element-wise binary operations will be broadcasted according to <a data-link-type="biblio" href="#biblio-numpy-broadcasting-rule" title="General Broadcasting Rules of NumPy">[numpy-broadcasting-rule]</a>. The <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank⑥">rank</a> of the output tensor is the maximum <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank⑦">rank</a> of the input tensors. For each dimension of the output tensor, its size
+   <p>The element-wise binary operations will be broadcasted according to <a data-link-type="biblio" href="#biblio-numpy-broadcasting-rule" title="General Broadcasting Rules of NumPy">[numpy-broadcasting-rule]</a>. The <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank⑧">rank</a> of the output tensor is the maximum <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank⑨">rank</a> of the input tensors. For each dimension of the output tensor, its size
 is the maximum size along that dimension of the input tensors.</p>
-<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder②⑧"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑧①"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-add" id="ref-for-dom-mlgraphbuilder-add"><c- g>add</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑧②"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/add(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-add-a-b-a"><code><c- g>a</c-></code><a class="self-link" href="#dom-mlgraphbuilder-add-a-b-a"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑧③"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/add(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-add-a-b-b"><code><c- g>b</c-></code><a class="self-link" href="#dom-mlgraphbuilder-add-a-b-b"></a></dfn>);
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑧④"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-sub" id="ref-for-dom-mlgraphbuilder-sub"><c- g>sub</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑧⑤"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/sub(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-sub-a-b-a"><code><c- g>a</c-></code><a class="self-link" href="#dom-mlgraphbuilder-sub-a-b-a"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑧⑥"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/sub(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-sub-a-b-b"><code><c- g>b</c-></code><a class="self-link" href="#dom-mlgraphbuilder-sub-a-b-b"></a></dfn>);
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑧⑦"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-mul" id="ref-for-dom-mlgraphbuilder-mul"><c- g>mul</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑧⑧"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/mul(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-mul-a-b-a"><code><c- g>a</c-></code><a class="self-link" href="#dom-mlgraphbuilder-mul-a-b-a"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑧⑨"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/mul(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-mul-a-b-b"><code><c- g>b</c-></code><a class="self-link" href="#dom-mlgraphbuilder-mul-a-b-b"></a></dfn>);
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑨⓪"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-div" id="ref-for-dom-mlgraphbuilder-div"><c- g>div</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑨①"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/div(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-div-a-b-a"><code><c- g>a</c-></code><a class="self-link" href="#dom-mlgraphbuilder-div-a-b-a"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑨②"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/div(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-div-a-b-b"><code><c- g>b</c-></code><a class="self-link" href="#dom-mlgraphbuilder-div-a-b-b"></a></dfn>);
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑨③"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-max" id="ref-for-dom-mlgraphbuilder-max"><c- g>max</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑨④"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/max(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-max-a-b-a"><code><c- g>a</c-></code><a class="self-link" href="#dom-mlgraphbuilder-max-a-b-a"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑨⑤"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/max(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-max-a-b-b"><code><c- g>b</c-></code><a class="self-link" href="#dom-mlgraphbuilder-max-a-b-b"></a></dfn>);
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑨⑥"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-min" id="ref-for-dom-mlgraphbuilder-min"><c- g>min</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑨⑦"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/min(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-min-a-b-a"><code><c- g>a</c-></code><a class="self-link" href="#dom-mlgraphbuilder-min-a-b-a"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑨⑧"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/min(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-min-a-b-b"><code><c- g>b</c-></code><a class="self-link" href="#dom-mlgraphbuilder-min-a-b-b"></a></dfn>);
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑨⑨"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-pow" id="ref-for-dom-mlgraphbuilder-pow"><c- g>pow</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⓪⓪"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/pow(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-pow-a-b-a"><code><c- g>a</c-></code><a class="self-link" href="#dom-mlgraphbuilder-pow-a-b-a"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⓪①"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/pow(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-pow-a-b-b"><code><c- g>b</c-></code><a class="self-link" href="#dom-mlgraphbuilder-pow-a-b-b"></a></dfn>);
+<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder②⑦"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑧②"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-add" id="ref-for-dom-mlgraphbuilder-add"><c- g>add</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑧③"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/add(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-add-a-b-a"><code><c- g>a</c-></code><a class="self-link" href="#dom-mlgraphbuilder-add-a-b-a"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑧④"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/add(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-add-a-b-b"><code><c- g>b</c-></code><a class="self-link" href="#dom-mlgraphbuilder-add-a-b-b"></a></dfn>);
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑧⑤"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-sub" id="ref-for-dom-mlgraphbuilder-sub"><c- g>sub</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑧⑥"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/sub(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-sub-a-b-a"><code><c- g>a</c-></code><a class="self-link" href="#dom-mlgraphbuilder-sub-a-b-a"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑧⑦"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/sub(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-sub-a-b-b"><code><c- g>b</c-></code><a class="self-link" href="#dom-mlgraphbuilder-sub-a-b-b"></a></dfn>);
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑧⑧"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-mul" id="ref-for-dom-mlgraphbuilder-mul"><c- g>mul</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑧⑨"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/mul(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-mul-a-b-a"><code><c- g>a</c-></code><a class="self-link" href="#dom-mlgraphbuilder-mul-a-b-a"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑨⓪"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/mul(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-mul-a-b-b"><code><c- g>b</c-></code><a class="self-link" href="#dom-mlgraphbuilder-mul-a-b-b"></a></dfn>);
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑨①"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-div" id="ref-for-dom-mlgraphbuilder-div"><c- g>div</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑨②"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/div(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-div-a-b-a"><code><c- g>a</c-></code><a class="self-link" href="#dom-mlgraphbuilder-div-a-b-a"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑨③"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/div(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-div-a-b-b"><code><c- g>b</c-></code><a class="self-link" href="#dom-mlgraphbuilder-div-a-b-b"></a></dfn>);
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑨④"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-max" id="ref-for-dom-mlgraphbuilder-max"><c- g>max</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑨⑤"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/max(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-max-a-b-a"><code><c- g>a</c-></code><a class="self-link" href="#dom-mlgraphbuilder-max-a-b-a"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑨⑥"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/max(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-max-a-b-b"><code><c- g>b</c-></code><a class="self-link" href="#dom-mlgraphbuilder-max-a-b-b"></a></dfn>);
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑨⑦"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-min" id="ref-for-dom-mlgraphbuilder-min"><c- g>min</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑨⑧"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/min(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-min-a-b-a"><code><c- g>a</c-></code><a class="self-link" href="#dom-mlgraphbuilder-min-a-b-a"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑨⑨"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/min(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-min-a-b-b"><code><c- g>b</c-></code><a class="self-link" href="#dom-mlgraphbuilder-min-a-b-b"></a></dfn>);
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⓪⓪"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-pow" id="ref-for-dom-mlgraphbuilder-pow"><c- g>pow</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⓪①"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/pow(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-pow-a-b-a"><code><c- g>a</c-></code><a class="self-link" href="#dom-mlgraphbuilder-pow-a-b-a"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⓪②"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/pow(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-pow-a-b-b"><code><c- g>b</c-></code><a class="self-link" href="#dom-mlgraphbuilder-pow-a-b-b"></a></dfn>);
 };
 </pre>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>a</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⓪②">MLOperand</a></code>. The first input tensor.</p>
+      <p><em>a</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⓪③">MLOperand</a></code>. The first input tensor.</p>
      <li data-md>
-      <p><em>b</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⓪③">MLOperand</a></code>. The second input tensor.</p>
+      <p><em>b</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⓪④">MLOperand</a></code>. The second input tensor.</p>
     </ul>
-    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⓪④">MLOperand</a></code>. The output tensor that contains the result of
+    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⓪⑤">MLOperand</a></code>. The output tensor that contains the result of
     element-wise binary operation of the two input tensors.</p>
    </div>
    <div>
@@ -3596,42 +3633,42 @@ <h4 class="heading settled" data-level="7.6.10" id="api-mlgraphbuilder-binary"><
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert②⑦">Assert</a>: <var>op</var> is one of "add", "sub", "mul", "div", "max", "min", "pow".</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert②④">Assert</a>: <var>op</var> is one of "add", "sub", "mul", "div", "max", "min", "pow".</p>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert②⑧">Assert</a>: the type of <var>a</var> and <var>b</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⓪⑤">MLOperand</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert②⑤">Assert</a>: the type of <var>a</var> and <var>b</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⓪⑥">MLOperand</a></code>.</p>
       <li data-md>
-       <p>If <var>a</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot③⑨">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②①">dataType</a></code> is not equal to <var>b</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot④⓪">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②②">dataType</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑧⑨">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror③⓪">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑤⑧">DOMException</a></code>.</p>
+       <p>If <var>a</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot③④">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②①">dataType</a></code> is not equal to <var>b</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot③⑤">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②②">dataType</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑨③">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror②⑨">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑤⑨">DOMException</a></code>.</p>
       <li data-md>
-       <p>Let <var>descriptor</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①⑥">MLOperandDescriptor</a></code>.</p>
+       <p>Let <var>descriptor</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①③">MLOperandDescriptor</a></code>.</p>
       <li data-md>
-       <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②③">dataType</a></code> to <var>a</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot④①">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②④">dataType</a></code>.</p>
+       <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②③">dataType</a></code> to <var>a</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot③⑥">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②④">dataType</a></code>.</p>
       <li data-md>
-       <p>Let <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③⑧">dimensions</a></code> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-broadcast-shapes" id="ref-for-mlgraphbuilder-broadcast-shapes">broadcast-shapes</a> steps given <var>a</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot④②">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③⑨">dimensions</a></code> and <var>b</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot④③">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions④⓪">dimensions</a></code>.</p>
+       <p>Let <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③③">dimensions</a></code> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-broadcast-shapes" id="ref-for-mlgraphbuilder-broadcast-shapes">broadcast-shapes</a> steps given <var>a</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot③⑦">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③④">dimensions</a></code> and <var>b</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot③⑧">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③⑤">dimensions</a></code>.</p>
        <ol>
         <li data-md>
-         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑨⓪">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑨①">throw</a> the error.</p>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑨④">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑨⑤">throw</a> the error.</p>
        </ol>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑨②">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror①⑨">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑤⑨">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑨⑥">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror②①">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑥⓪">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand⑦">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this①⑥">this</a> and <var>descriptor</var>.</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand⑨">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this①⑧">this</a> and <var>descriptor</var>.</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined①⑧">implementation-defined</a> platform operator for the binary operation <var>op</var>, given <var>a</var> and <var>b</var>.</p>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined②①">implementation-defined</a> platform operator for the binary operation <var>op</var>, given <var>a</var> and <var>b</var>.</p>
           <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot⑤">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot⑦">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined①⑨">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined②②">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①⑤">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot②①">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>a</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①⑥">[[operand]]</a></code> and <var>b</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①⑦">[[operand]]</a></code> as inputs to <var>opImpl</var>.</p>
+         <p>Connect <var>a</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot②②">[[operand]]</a></code> and <var>b</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot②③">[[operand]]</a></code> as inputs to <var>opImpl</var>.</p>
         <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①⑧">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot②④">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
@@ -3643,12 +3680,12 @@ <h4 class="heading settled" data-level="7.6.10" id="api-mlgraphbuilder-binary"><
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert②⑨">Assert</a>: The type of <var>shape1</var> and <var>shape2</var> is <code>sequence of unsigned long</code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert②⑥">Assert</a>: The type of <var>shape1</var> and <var>shape2</var> is <code>sequence of unsigned long</code>.</p>
       <li data-md>
-       <p>Let <var>output</var> be the result of invoking the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined②⓪">implementation-defined</a> shape broadcast on <var>shape1</var> and <var>shape2</var>.</p>
+       <p>Let <var>output</var> be the result of invoking the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined②③">implementation-defined</a> shape broadcast on <var>shape1</var> and <var>shape2</var>.</p>
        <ol>
         <li data-md>
-         <p>If that fails, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑨③">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror③①">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑥⓪">DOMException</a></code>.</p>
+         <p>If that fails, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑨⑦">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror③⓪">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑥①">DOMException</a></code>.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
@@ -3666,7 +3703,7 @@ <h4 class="heading settled" data-level="7.6.10" id="api-mlgraphbuilder-binary"><
         <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-binary-op" id="ref-for-mlgraphbuilder-element-wise-binary-op①"> create element-wise binary operation</a> given "add", <var>a</var> and <var>b</var>.</p>
         <ol>
          <li data-md>
-          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑨④">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑨⑤">throw</a> the error.</p>
+          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑨⑧">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑨⑨">throw</a> the error.</p>
         </ol>
        <li data-md>
         <p>Return <var>output</var>.</p>
@@ -3679,7 +3716,7 @@ <h4 class="heading settled" data-level="7.6.10" id="api-mlgraphbuilder-binary"><
         <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-binary-op" id="ref-for-mlgraphbuilder-element-wise-binary-op②"> create element-wise binary operation</a> given "sub", <var>a</var> and <var>b</var>.</p>
         <ol>
          <li data-md>
-          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑨⑥">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑨⑦">throw</a> the error.</p>
+          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⓪⓪">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⓪①">throw</a> the error.</p>
         </ol>
        <li data-md>
         <p>Return <var>output</var>.</p>
@@ -3692,7 +3729,7 @@ <h4 class="heading settled" data-level="7.6.10" id="api-mlgraphbuilder-binary"><
         <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-binary-op" id="ref-for-mlgraphbuilder-element-wise-binary-op③"> create element-wise binary operation</a> given "mul", <var>a</var> and <var>b</var>.</p>
         <ol>
          <li data-md>
-          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑨⑧">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑨⑨">throw</a> the error.</p>
+          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⓪②">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⓪③">throw</a> the error.</p>
         </ol>
        <li data-md>
         <p>Return <var>output</var>.</p>
@@ -3705,7 +3742,7 @@ <h4 class="heading settled" data-level="7.6.10" id="api-mlgraphbuilder-binary"><
         <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-binary-op" id="ref-for-mlgraphbuilder-element-wise-binary-op④"> create element-wise binary operation</a> given "div", <var>a</var> and <var>b</var>.</p>
         <ol>
          <li data-md>
-          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⓪⓪">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⓪①">throw</a> the error.</p>
+          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⓪④">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⓪⑤">throw</a> the error.</p>
         </ol>
        <li data-md>
         <p>Return <var>output</var>.</p>
@@ -3718,7 +3755,7 @@ <h4 class="heading settled" data-level="7.6.10" id="api-mlgraphbuilder-binary"><
         <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-binary-op" id="ref-for-mlgraphbuilder-element-wise-binary-op⑤"> create element-wise binary operation</a> given "max", <var>a</var> and <var>b</var>.</p>
         <ol>
          <li data-md>
-          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⓪②">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⓪③">throw</a> the error.</p>
+          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⓪⑥">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⓪⑦">throw</a> the error.</p>
         </ol>
        <li data-md>
         <p>Return <var>output</var>.</p>
@@ -3731,7 +3768,7 @@ <h4 class="heading settled" data-level="7.6.10" id="api-mlgraphbuilder-binary"><
         <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-binary-op" id="ref-for-mlgraphbuilder-element-wise-binary-op⑥"> create element-wise binary operation</a> given "min", <var>a</var> and <var>b</var>.</p>
         <ol>
          <li data-md>
-          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⓪④">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⓪⑤">throw</a> the error.</p>
+          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⓪⑧">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⓪⑨">throw</a> the error.</p>
         </ol>
        <li data-md>
         <p>Return <var>output</var>.</p>
@@ -3744,7 +3781,7 @@ <h4 class="heading settled" data-level="7.6.10" id="api-mlgraphbuilder-binary"><
         <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-binary-op" id="ref-for-mlgraphbuilder-element-wise-binary-op⑦"> create element-wise binary operation</a> given "pow", <var>a</var> and <var>b</var>.</p>
         <ol>
          <li data-md>
-          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⓪⑥">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⓪⑦">throw</a> the error.</p>
+          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①①⓪">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①①①">throw</a> the error.</p>
         </ol>
        <li data-md>
         <p>Return <var>output</var>.</p>
@@ -3752,82 +3789,97 @@ <h4 class="heading settled" data-level="7.6.10" id="api-mlgraphbuilder-binary"><
      </div>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.6.11" id="api-mlgraphbuilder-unary"><span class="secno">7.6.11. </span><span class="content">Element-wise unary operations</span><a class="self-link" href="#api-mlgraphbuilder-unary"></a></h4>
-    Compute the element-wise unary operation for input tensor. 
-<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder②⑨"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⓪⑥"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-abs" id="ref-for-dom-mlgraphbuilder-abs"><c- g>abs</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⓪⑦"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/abs(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-abs-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-abs-input-input"></a></dfn>);
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⓪⑧"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-ceil" id="ref-for-dom-mlgraphbuilder-ceil"><c- g>ceil</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⓪⑨"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/ceil(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-ceil-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-ceil-input-input"></a></dfn>);
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①①⓪"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-cos" id="ref-for-dom-mlgraphbuilder-cos"><c- g>cos</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①①①"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/cos(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-cos-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-cos-input-input"></a></dfn>);
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①①②"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-exp" id="ref-for-dom-mlgraphbuilder-exp"><c- g>exp</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①①③"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/exp(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-exp-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-exp-input-input"></a></dfn>);
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①①④"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-floor" id="ref-for-dom-mlgraphbuilder-floor"><c- g>floor</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①①⑤"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/floor(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-floor-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-floor-input-input"></a></dfn>);
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①①⑥"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-log" id="ref-for-dom-mlgraphbuilder-log"><c- g>log</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①①⑦"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/log(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-log-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-log-input-input"></a></dfn>);
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①①⑧"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-neg" id="ref-for-dom-mlgraphbuilder-neg"><c- g>neg</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①①⑨"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/neg(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-neg-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-neg-input-input"></a></dfn>);
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①②⓪"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-sin" id="ref-for-dom-mlgraphbuilder-sin"><c- g>sin</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①②①"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/sin(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-sin-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-sin-input-input"></a></dfn>);
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①②②"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-tan" id="ref-for-dom-mlgraphbuilder-tan"><c- g>tan</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①②③"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/tan(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-tan-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-tan-input-input"></a></dfn>);
+   <h4 class="heading settled" data-level="7.7.12" id="api-mlgraphbuilder-logical"><span class="secno">7.7.12. </span><span class="content">Element-wise logical operations</span><a class="self-link" href="#api-mlgraphbuilder-logical"></a></h4>
+    Compare input tensors element-wise and return a uint8 tensor of values 0 or 1 for the comparisons. For single-operand operations, return the logical results of the operation. 
+   <p>The input tensor will be broadcasted according to <a data-link-type="biblio" href="#biblio-numpy-broadcasting-rule" title="General Broadcasting Rules of NumPy">[numpy-broadcasting-rule]</a>. The <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank①⓪">rank</a> of the output tensor is the maximum <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank①①">rank</a> of the input tensors.</p>
+<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder②⑧"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⓪⑦"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-equal" id="ref-for-dom-mlgraphbuilder-equal"><c- g>equal</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⓪⑧"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/equal(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-equal-a-b-a"><code><c- g>a</c-></code><a class="self-link" href="#dom-mlgraphbuilder-equal-a-b-a"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⓪⑨"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/equal(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-equal-a-b-b"><code><c- g>b</c-></code><a class="self-link" href="#dom-mlgraphbuilder-equal-a-b-b"></a></dfn>);
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①①⓪"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-greater" id="ref-for-dom-mlgraphbuilder-greater"><c- g>greater</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①①①"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/greater(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-greater-a-b-a"><code><c- g>a</c-></code><a class="self-link" href="#dom-mlgraphbuilder-greater-a-b-a"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①①②"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/greater(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-greater-a-b-b"><code><c- g>b</c-></code><a class="self-link" href="#dom-mlgraphbuilder-greater-a-b-b"></a></dfn>);
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①①③"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-greaterorequal" id="ref-for-dom-mlgraphbuilder-greaterorequal"><c- g>greaterOrEqual</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①①④"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/greaterOrEqual(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-greaterorequal-a-b-a"><code><c- g>a</c-></code><a class="self-link" href="#dom-mlgraphbuilder-greaterorequal-a-b-a"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①①⑤"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/greaterOrEqual(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-greaterorequal-a-b-b"><code><c- g>b</c-></code><a class="self-link" href="#dom-mlgraphbuilder-greaterorequal-a-b-b"></a></dfn>);
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①①⑥"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-lesser" id="ref-for-dom-mlgraphbuilder-lesser"><c- g>lesser</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①①⑦"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/lesser(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-lesser-a-b-a"><code><c- g>a</c-></code><a class="self-link" href="#dom-mlgraphbuilder-lesser-a-b-a"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①①⑧"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/lesser(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-lesser-a-b-b"><code><c- g>b</c-></code><a class="self-link" href="#dom-mlgraphbuilder-lesser-a-b-b"></a></dfn>);
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①①⑨"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-lesserorequal" id="ref-for-dom-mlgraphbuilder-lesserorequal"><c- g>lesserOrEqual</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①②⓪"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/lesserOrEqual(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-lesserorequal-a-b-a"><code><c- g>a</c-></code><a class="self-link" href="#dom-mlgraphbuilder-lesserorequal-a-b-a"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①②①"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/lesserOrEqual(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-lesserorequal-a-b-b"><code><c- g>b</c-></code><a class="self-link" href="#dom-mlgraphbuilder-lesserorequal-a-b-b"></a></dfn>);
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①②②"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-not" id="ref-for-dom-mlgraphbuilder-not"><c- g>not</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①②③"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/not(a)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-not-a-a"><code><c- g>a</c-></code><a class="self-link" href="#dom-mlgraphbuilder-not-a-a"></a></dfn>);
 };
 </pre>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①②④">MLOperand</a></code>. The input tensor.</p>
+      <p><em>a</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①②④">MLOperand</a></code>. The first input tensor.</p>
+     <li data-md>
+      <p><em>b</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①②⑤">MLOperand</a></code>. The second input tensor when specified.</p>
     </ul>
-    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①②⑤">MLOperand</a></code>. The output tensor that contains the result of
-    element-wise unary operation of the input tensor. The shape of the output
-    tensor is the same as the shape of input tensor.</p>
+    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①②⑥">MLOperand</a></code>. The output tensor that contains the result of element-wise comparison of the two input tensors.</p>
    </div>
    <div>
      <strong>Operation types:</strong> 
     <ul>
      <li data-md>
-      <p><em>abs</em>: Compute the absolute value of the input tensor, element-wise.</p>
-     <li data-md>
-      <p><em>ceil</em>: Compute the ceiling of the input tensor, element-wise.</p>
-     <li data-md>
-      <p><em>cos</em>: Compute the cosine of the input tensor, element-wise.</p>
-     <li data-md>
-      <p><em>exp</em>: Compute the exponential of the input tensor, element-wise.</p>
+      <p><em>equal</em>: Compare if the values of the two input tensors are equal, element-wise.</p>
      <li data-md>
-      <p><em>floor</em>: Compute the floor of the input tensor, element-wise.</p>
+      <p><em>greater</em>: Compare if the values of the first input tensor is greater, element-wise.</p>
      <li data-md>
-      <p><em>log</em>: Compute the natural logarithm of the input tensor, element-wise.</p>
+      <p><em>greaterOrEqual</em>: Compare if the values of the first input tensor is greater or equal, element-wise.</p>
      <li data-md>
-      <p><em>neg</em>: Compute the numerical negative value of the input tensor, element-wise.</p>
+      <p><em>lesser</em>: Compare if the values of the first input tensor is lesser, element-wise.</p>
      <li data-md>
-      <p><em>sin</em>: Compute the sine of the input tensor, element-wise.</p>
+      <p><em>lesserOrEqual</em>: Compare if the values of the first input tensor is lesser or equal, element-wise.</p>
      <li data-md>
-      <p><em>tan</em>: Compute the tangent of the input tensor, element-wise.</p>
+      <p><em>not</em>: Invert the values of the input tensor to values 0 or 1, element-wise. Specifically, when the input value is non-zero, invert it to a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean⑥">boolean</a></code> value 0. Conversely, for a zero input value, invert it to a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean⑦">boolean</a></code> value 1.</p>
     </ul>
    </div>
-   <details class="algorithm" data-algorithm="element-wise-unary-op" data-algorithm-for="MLGraphBuilder" open>
-    <summary> To <dfn class="dfn-paneled" data-dfn-for="MLGraphBuilder" data-dfn-type="dfn" data-lt="element-wise-unary-op" data-noexport id="mlgraphbuilder-element-wise-unary-op">create element-wise unary operation</dfn> given <var>op</var> and <var>input</var>, run the following steps: </summary>
+   <div class="note" role="note"> Although operations <em>greaterOrEqual</em> and <em>lesserOrEqual</em> can each be implemented in terms of operations <em>not</em>, <em>lesser</em>, and <em>greater</em> in other words <code>greater-or-equal(a, b)</code> is <code>not(lesser(a, b))</code>, they are specifically defined to handle NaN cases and for performance reason to avoid double comparisons. </div>
+   <details class="algorithm" data-algorithm="element-wise-logical-op" data-algorithm-for="MLGraphBuilder" open>
+    <summary> To <dfn class="dfn-paneled" data-dfn-for="MLGraphBuilder" data-dfn-type="dfn" data-lt="element-wise-logical-op" data-noexport id="mlgraphbuilder-element-wise-logical-op">create element-wise logical operation</dfn> given <var>op</var>, <var>a</var> and <var>b</var>, run the following steps: </summary>
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert③⓪">Assert</a>: <var>op</var> is one of "abs", "ceil", "cos", "exp", "floor", "log", "neg", "sin", "tan".</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert②⑦">Assert</a>: <var>op</var> is one of "equal", "greater", "greaterOrEqual", "lesser", "lesserOrEqual", "not".</p>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert③①">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①②⑥">MLOperand</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert②⑧">Assert</a>: the type of <var>a</var> and <var>b</var> if available is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①②⑦">MLOperand</a></code>.</p>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⓪⑧">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror②⓪">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑥①">DOMException</a></code>.</p>
+       <p>If <var>op</var> is "not".</p>
        <ol>
         <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand①">copying an MLOperand</a> given <var>input</var>.</p>
+         <p>If <var>a</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot③⑨">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②⑤">dataType</a></code> isn’t "uint8", then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①①②">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror③①">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑥②">DOMException</a></code>.</p>
+       </ol>
+      <li data-md>
+       <p>If <var>op</var> is anything else but "not".</p>
+       <ol>
+        <li data-md>
+         <p>If <var>a</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot④⓪">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②⑥">dataType</a></code> is not equal to <var>b</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot④①">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②⑦">dataType</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①①③">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror③②">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑥③">DOMException</a></code>.</p>
+       </ol>
+      <li data-md>
+       <p>Let <var>descriptor</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①④">MLOperandDescriptor</a></code>.</p>
+      <li data-md>
+       <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②⑧">dataType</a></code> to "uint8".</p>
+      <li data-md>
+       <p>Let <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③⑥">dimensions</a></code> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-broadcast-shapes" id="ref-for-mlgraphbuilder-broadcast-shapes①">broadcast-shapes</a> steps given <var>a</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot④②">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③⑦">dimensions</a></code> and <var>b</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot④③">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③⑧">dimensions</a></code>.</p>
+       <ol>
+        <li data-md>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①①④">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①①⑤">throw</a> the error.</p>
+       </ol>
+      <li data-md>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①①⑥">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror②②">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑥④">DOMException</a></code>.</p>
+       <ol>
+        <li data-md>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand①⓪">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this①⑨">this</a> and <var>descriptor</var>.</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined②①">implementation-defined</a> platform operator for the unary operation <var>op</var>.</p>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined②④">implementation-defined</a> platform operator for the binary operation <var>op</var>, given <var>a</var> and <var>b</var>.</p>
           <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot⑥">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot⑧">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined②②">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined②⑤">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①⑨">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot②⑤">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot②⓪">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+         <p>Connect <var>a</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot②⑥">[[operand]]</a></code> and <var>b</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot②⑦">[[operand]]</a></code> as inputs to <var>opImpl</var>.</p>
         <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot②①">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot②⑧">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
@@ -3835,16 +3887,193 @@ <h4 class="heading settled" data-level="7.6.11" id="api-mlgraphbuilder-unary"><s
     </div>
    </details>
    <details open>
-    <summary> The element-wise unary operation algorithms invoke the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-unary-op" id="ref-for-mlgraphbuilder-element-wise-unary-op"> create element-wise unary operation</a> steps as follows. </summary>
+    <summary> The element-wise logical operation algorithms invoke the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-logical-op" id="ref-for-mlgraphbuilder-element-wise-logical-op"> create element-wise logical operation</a> steps as follows. </summary>
     <div class="algorithm-steps">
-     <div class="algorithm" data-algorithm="abs(input)" data-algorithm-for="MLGraphBuilder">
-       The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-abs"><code>abs(<var>input</var>)</code></dfn> method steps are: 
+     <div class="algorithm" data-algorithm="equal(a, b)" data-algorithm-for="MLGraphBuilder">
+       The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-equal"><code>equal(<var>a</var>, <var>b</var>)</code></dfn> method steps are: 
       <ol>
        <li data-md>
-        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-unary-op" id="ref-for-mlgraphbuilder-element-wise-unary-op①"> create element-wise unary operation</a> given "abs" and <var>input</var>.</p>
+        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-logical-op" id="ref-for-mlgraphbuilder-element-wise-logical-op①"> create element-wise logical operation</a> given "equal", <var>a</var> and <var>b</var>.</p>
         <ol>
          <li data-md>
-          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⓪⑨">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①①⓪">throw</a> the error.</p>
+          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①①⑦">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①①⑧">throw</a> the error.</p>
+        </ol>
+       <li data-md>
+        <p>Return <var>output</var>.</p>
+      </ol>
+     </div>
+     <div class="algorithm" data-algorithm="greater(a, b)" data-algorithm-for="MLGraphBuilder">
+       The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-greater"><code>greater(<var>a</var>, <var>b</var>)</code></dfn> method steps are: 
+      <ol>
+       <li data-md>
+        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-logical-op" id="ref-for-mlgraphbuilder-element-wise-logical-op②"> create element-wise logical operation</a> given "greater", <var>a</var> and <var>b</var>.</p>
+        <ol>
+         <li data-md>
+          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①①⑨">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①②⓪">throw</a> the error.</p>
+        </ol>
+       <li data-md>
+        <p>Return <var>output</var>.</p>
+      </ol>
+     </div>
+     <div class="algorithm" data-algorithm="greaterOrEqual(a, b)" data-algorithm-for="MLGraphBuilder">
+       The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-greaterorequal"><code>greaterOrEqual(<var>a</var>, <var>b</var>)</code></dfn> method steps are: 
+      <ol>
+       <li data-md>
+        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-logical-op" id="ref-for-mlgraphbuilder-element-wise-logical-op③"> create element-wise logical operation</a> given "greaterOrEqual", <var>a</var> and <var>b</var>.</p>
+        <ol>
+         <li data-md>
+          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①②①">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①②②">throw</a> the error.</p>
+        </ol>
+       <li data-md>
+        <p>Return <var>output</var>.</p>
+      </ol>
+     </div>
+     <div class="algorithm" data-algorithm="lesser(a, b)" data-algorithm-for="MLGraphBuilder">
+       The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-lesser"><code>lesser(<var>a</var>, <var>b</var>)</code></dfn> method steps are: 
+      <ol>
+       <li data-md>
+        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-logical-op" id="ref-for-mlgraphbuilder-element-wise-logical-op④"> create element-wise logical operation</a> given "lesser", <var>a</var> and <var>b</var>.</p>
+        <ol>
+         <li data-md>
+          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①②③">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①②④">throw</a> the error.</p>
+        </ol>
+       <li data-md>
+        <p>Return <var>output</var>.</p>
+      </ol>
+     </div>
+     <div class="algorithm" data-algorithm="lesserOrEqual(a, b)" data-algorithm-for="MLGraphBuilder">
+       The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-lesserorequal"><code>lesserOrEqual(<var>a</var>, <var>b</var>)</code></dfn> method steps are: 
+      <ol>
+       <li data-md>
+        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-logical-op" id="ref-for-mlgraphbuilder-element-wise-logical-op⑤"> create element-wise logical operation</a> given "lesserOrEqual", <var>a</var> and <var>b</var>.</p>
+        <ol>
+         <li data-md>
+          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①②⑤">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①②⑥">throw</a> the error.</p>
+        </ol>
+       <li data-md>
+        <p>Return <var>output</var>.</p>
+      </ol>
+     </div>
+     <div class="algorithm" data-algorithm="not(a)" data-algorithm-for="MLGraphBuilder">
+       The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-not"><code>not(<var>a</var>)</code></dfn> method steps are: 
+      <ol>
+       <li data-md>
+        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-logical-op" id="ref-for-mlgraphbuilder-element-wise-logical-op⑥"> create element-wise logical operation</a> given "not" and <var>a</var>.</p>
+        <ol>
+         <li data-md>
+          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①②⑦">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①②⑧">throw</a> the error.</p>
+        </ol>
+       <li data-md>
+        <p>Return <var>output</var>.</p>
+      </ol>
+     </div>
+    </div>
+   </details>
+   <h4 class="heading settled" data-level="7.7.13" id="api-mlgraphbuilder-unary"><span class="secno">7.7.13. </span><span class="content">Element-wise unary operations</span><a class="self-link" href="#api-mlgraphbuilder-unary"></a></h4>
+    Compute the element-wise unary operation for input tensor. 
+<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder②⑨"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①②⑧"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-abs" id="ref-for-dom-mlgraphbuilder-abs"><c- g>abs</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①②⑨"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/abs(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-abs-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-abs-input-input"></a></dfn>);
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①③⓪"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-ceil" id="ref-for-dom-mlgraphbuilder-ceil"><c- g>ceil</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①③①"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/ceil(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-ceil-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-ceil-input-input"></a></dfn>);
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①③②"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-cos" id="ref-for-dom-mlgraphbuilder-cos"><c- g>cos</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①③③"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/cos(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-cos-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-cos-input-input"></a></dfn>);
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①③④"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-erf" id="ref-for-dom-mlgraphbuilder-erf"><c- g>erf</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①③⑤"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/erf(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-erf-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-erf-input-input"></a></dfn>);
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①③⑥"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-exp" id="ref-for-dom-mlgraphbuilder-exp"><c- g>exp</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①③⑦"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/exp(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-exp-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-exp-input-input"></a></dfn>);
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①③⑧"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-floor" id="ref-for-dom-mlgraphbuilder-floor"><c- g>floor</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①③⑨"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/floor(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-floor-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-floor-input-input"></a></dfn>);
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①④⓪"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-identity" id="ref-for-dom-mlgraphbuilder-identity"><c- g>identity</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①④①"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/identity(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-identity-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-identity-input-input"></a></dfn>);
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①④②"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-log" id="ref-for-dom-mlgraphbuilder-log"><c- g>log</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①④③"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/log(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-log-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-log-input-input"></a></dfn>);
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①④④"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-neg" id="ref-for-dom-mlgraphbuilder-neg"><c- g>neg</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①④⑤"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/neg(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-neg-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-neg-input-input"></a></dfn>);
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①④⑥"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-reciprocal" id="ref-for-dom-mlgraphbuilder-reciprocal"><c- g>reciprocal</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①④⑦"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reciprocal(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reciprocal-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reciprocal-input-input"></a></dfn>);
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①④⑧"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-sin" id="ref-for-dom-mlgraphbuilder-sin"><c- g>sin</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①④⑨"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/sin(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-sin-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-sin-input-input"></a></dfn>);
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑤⓪"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-sqrt" id="ref-for-dom-mlgraphbuilder-sqrt"><c- g>sqrt</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑤①"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/sqrt(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-sqrt-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-sqrt-input-input"></a></dfn>);
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑤②"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-tan" id="ref-for-dom-mlgraphbuilder-tan"><c- g>tan</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑤③"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/tan(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-tan-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-tan-input-input"></a></dfn>);
+};
+</pre>
+   <div>
+     <strong>Arguments:</strong> 
+    <ul>
+     <li data-md>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑤④">MLOperand</a></code>. The input tensor.</p>
+    </ul>
+    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑤⑤">MLOperand</a></code>. The output tensor that contains the result of
+    element-wise unary operation of the input tensor. The shape of the output
+    tensor is the same as the shape of input tensor.</p>
+   </div>
+   <div>
+     <strong>Operation types:</strong> 
+    <ul>
+     <li data-md>
+      <p><em>abs</em>: Compute the absolute value of the input tensor, element-wise.</p>
+     <li data-md>
+      <p><em>ceil</em>: Compute the ceiling of the input tensor, element-wise.</p>
+     <li data-md>
+      <p><em>cos</em>: Compute the cosine of the input tensor, element-wise.</p>
+     <li data-md>
+      <p><em>erf</em>: Compute the error function <a data-link-type="biblio" href="#biblio-error-function" title="Special functions of mathematics for engineers">[Error-Function]</a> of the input tensor, element-wise.</p>
+     <li data-md>
+      <p><em>exp</em>: Compute the exponential of the input tensor, element-wise.</p>
+     <li data-md>
+      <p><em>floor</em>: Compute the floor of the input tensor, element-wise.</p>
+     <li data-md>
+      <p><em>identity</em>: Copy the value of the input tensor to the output tensor, element-wise.</p>
+     <li data-md>
+      <p><em>log</em>: Compute the natural logarithm of the input tensor, element-wise.</p>
+     <li data-md>
+      <p><em>neg</em>: Compute the numerical negative value of the input tensor, element-wise.</p>
+     <li data-md>
+      <p><em>reciprocal</em>: Compute the reciprocal of the input tensor, element-wise.</p>
+     <li data-md>
+      <p><em>sin</em>: Compute the sine of the input tensor, element-wise.</p>
+     <li data-md>
+      <p><em>sqrt</em>: Compute the square root of the input tensor, element-wise.</p>
+     <li data-md>
+      <p><em>tan</em>: Compute the tangent of the input tensor, element-wise.</p>
+    </ul>
+   </div>
+   <details class="algorithm" data-algorithm="element-wise-unary-op" data-algorithm-for="MLGraphBuilder" open>
+    <summary> To <dfn class="dfn-paneled" data-dfn-for="MLGraphBuilder" data-dfn-type="dfn" data-lt="element-wise-unary-op" data-noexport id="mlgraphbuilder-element-wise-unary-op">create element-wise unary operation</dfn> given <var>op</var> and <var>input</var>, run the following steps: </summary>
+    <div class="algorithm-steps">
+     <ol>
+      <li data-md>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert②⑨">Assert</a>: <var>op</var> is one of "abs", "ceil", "cos", "erf", "exp", "floor", "identity", "log", "neg", "reciprocal", "sin", "sqrt", "tan".</p>
+      <li data-md>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert③⓪">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑤⑥">MLOperand</a></code>.</p>
+      <li data-md>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①②⑨">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror②③">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑥⑤">DOMException</a></code>.</p>
+       <ol>
+        <li data-md>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand②">copying an MLOperand</a> given <var>input</var>.</p>
+        <li data-md>
+         <p>Make a request to the underlying platform to:</p>
+         <ol>
+          <li data-md>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined②⑥">implementation-defined</a> platform operator for the unary operation <var>op</var>.</p>
+          <li data-md>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot⑨">[[operator]]</a></code>.</p>
+          <li data-md>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined②⑦">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+          <li data-md>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot②⑨">[[operand]]</a></code>.</p>
+         </ol>
+        <li data-md>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot③⓪">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+        <li data-md>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot③①">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+       </ol>
+      <li data-md>
+       <p>Return <var>output</var>.</p>
+     </ol>
+    </div>
+   </details>
+   <details open>
+    <summary> The element-wise unary operation algorithms invoke the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-unary-op" id="ref-for-mlgraphbuilder-element-wise-unary-op"> create element-wise unary operation</a> steps as follows. </summary>
+    <div class="algorithm-steps">
+     <div class="algorithm" data-algorithm="abs(input)" data-algorithm-for="MLGraphBuilder">
+       The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-abs"><code>abs(<var>input</var>)</code></dfn> method steps are: 
+      <ol>
+       <li data-md>
+        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-unary-op" id="ref-for-mlgraphbuilder-element-wise-unary-op①"> create element-wise unary operation</a> given "abs" and <var>input</var>.</p>
+        <ol>
+         <li data-md>
+          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①③⓪">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①③①">throw</a> the error.</p>
         </ol>
        <li data-md>
         <p>Return <var>output</var>.</p>
@@ -3857,7 +4086,7 @@ <h4 class="heading settled" data-level="7.6.11" id="api-mlgraphbuilder-unary"><s
         <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-unary-op" id="ref-for-mlgraphbuilder-element-wise-unary-op②"> create element-wise unary operation</a> given "ceil" and <var>input</var>.</p>
         <ol>
          <li data-md>
-          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①①①">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①①②">throw</a> the error.</p>
+          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①③②">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①③③">throw</a> the error.</p>
         </ol>
        <li data-md>
         <p>Return <var>output</var>.</p>
@@ -3870,7 +4099,20 @@ <h4 class="heading settled" data-level="7.6.11" id="api-mlgraphbuilder-unary"><s
         <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-unary-op" id="ref-for-mlgraphbuilder-element-wise-unary-op③"> create element-wise unary operation</a> given "cos" and <var>input</var>.</p>
         <ol>
          <li data-md>
-          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①①③">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①①④">throw</a> the error.</p>
+          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①③④">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①③⑤">throw</a> the error.</p>
+        </ol>
+       <li data-md>
+        <p>Return <var>output</var>.</p>
+      </ol>
+     </div>
+     <div class="algorithm" data-algorithm="erf(input)" data-algorithm-for="MLGraphBuilder">
+       The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-erf"><code>erf(<var>input</var>)</code></dfn> method steps are: 
+      <ol>
+       <li data-md>
+        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-unary-op" id="ref-for-mlgraphbuilder-element-wise-unary-op④"> create element-wise unary operation</a> given "erf" and <var>input</var>.</p>
+        <ol>
+         <li data-md>
+          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①③⑥">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①③⑦">throw</a> the error.</p>
         </ol>
        <li data-md>
         <p>Return <var>output</var>.</p>
@@ -3880,10 +4122,10 @@ <h4 class="heading settled" data-level="7.6.11" id="api-mlgraphbuilder-unary"><s
        The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-exp"><code>exp(<var>input</var>)</code></dfn> method steps are: 
       <ol>
        <li data-md>
-        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-unary-op" id="ref-for-mlgraphbuilder-element-wise-unary-op④"> create element-wise unary operation</a> given "exp" and <var>input</var>.</p>
+        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-unary-op" id="ref-for-mlgraphbuilder-element-wise-unary-op⑤"> create element-wise unary operation</a> given "exp" and <var>input</var>.</p>
         <ol>
          <li data-md>
-          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①①⑤">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①①⑥">throw</a> the error.</p>
+          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①③⑧">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①③⑨">throw</a> the error.</p>
         </ol>
        <li data-md>
         <p>Return <var>output</var>.</p>
@@ -3893,10 +4135,23 @@ <h4 class="heading settled" data-level="7.6.11" id="api-mlgraphbuilder-unary"><s
        The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-floor"><code>floor(<var>input</var>)</code></dfn> method steps are: 
       <ol>
        <li data-md>
-        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-unary-op" id="ref-for-mlgraphbuilder-element-wise-unary-op⑤"> create element-wise unary operation</a> given "floor" and <var>input</var>.</p>
+        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-unary-op" id="ref-for-mlgraphbuilder-element-wise-unary-op⑥"> create element-wise unary operation</a> given "floor" and <var>input</var>.</p>
         <ol>
          <li data-md>
-          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①①⑦">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①①⑧">throw</a> the error.</p>
+          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①④⓪">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①④①">throw</a> the error.</p>
+        </ol>
+       <li data-md>
+        <p>Return <var>output</var>.</p>
+      </ol>
+     </div>
+     <div class="algorithm" data-algorithm="identity(input)" data-algorithm-for="MLGraphBuilder">
+       The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-identity"><code>identity(<var>input</var>)</code></dfn> method steps are: 
+      <ol>
+       <li data-md>
+        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-unary-op" id="ref-for-mlgraphbuilder-element-wise-unary-op⑦"> create element-wise unary operation</a> given "identity" and <var>input</var>.</p>
+        <ol>
+         <li data-md>
+          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①④②">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①④③">throw</a> the error.</p>
         </ol>
        <li data-md>
         <p>Return <var>output</var>.</p>
@@ -3906,10 +4161,10 @@ <h4 class="heading settled" data-level="7.6.11" id="api-mlgraphbuilder-unary"><s
        The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-log"><code>log(<var>input</var>)</code></dfn> method steps are: 
       <ol>
        <li data-md>
-        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-unary-op" id="ref-for-mlgraphbuilder-element-wise-unary-op⑥"> create element-wise unary operation</a> given "log" and <var>input</var>.</p>
+        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-unary-op" id="ref-for-mlgraphbuilder-element-wise-unary-op⑧"> create element-wise unary operation</a> given "log" and <var>input</var>.</p>
         <ol>
          <li data-md>
-          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①①⑨">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①②⓪">throw</a> the error.</p>
+          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①④④">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①④⑤">throw</a> the error.</p>
         </ol>
        <li data-md>
         <p>Return <var>output</var>.</p>
@@ -3919,10 +4174,23 @@ <h4 class="heading settled" data-level="7.6.11" id="api-mlgraphbuilder-unary"><s
        The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-neg"><code>neg(<var>input</var>)</code></dfn> method steps are: 
       <ol>
        <li data-md>
-        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-unary-op" id="ref-for-mlgraphbuilder-element-wise-unary-op⑦"> create element-wise unary operation</a> given "neg" and <var>input</var>.</p>
+        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-unary-op" id="ref-for-mlgraphbuilder-element-wise-unary-op⑨"> create element-wise unary operation</a> given "neg" and <var>input</var>.</p>
         <ol>
          <li data-md>
-          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①②①">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①②②">throw</a> the error.</p>
+          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①④⑥">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①④⑦">throw</a> the error.</p>
+        </ol>
+       <li data-md>
+        <p>Return <var>output</var>.</p>
+      </ol>
+     </div>
+     <div class="algorithm" data-algorithm="reciprocal(input)" data-algorithm-for="MLGraphBuilder">
+       The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-reciprocal"><code>reciprocal(<var>input</var>)</code></dfn> method steps are: 
+      <ol>
+       <li data-md>
+        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-unary-op" id="ref-for-mlgraphbuilder-element-wise-unary-op①⓪"> create element-wise unary operation</a> given "reciprocal" and <var>input</var>.</p>
+        <ol>
+         <li data-md>
+          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①④⑧">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①④⑨">throw</a> the error.</p>
         </ol>
        <li data-md>
         <p>Return <var>output</var>.</p>
@@ -3932,10 +4200,23 @@ <h4 class="heading settled" data-level="7.6.11" id="api-mlgraphbuilder-unary"><s
        The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-sin"><code>sin(<var>input</var>)</code></dfn> method steps are: 
       <ol>
        <li data-md>
-        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-unary-op" id="ref-for-mlgraphbuilder-element-wise-unary-op⑧"> create element-wise unary operation</a> given "sin" and <var>input</var>.</p>
+        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-unary-op" id="ref-for-mlgraphbuilder-element-wise-unary-op①①"> create element-wise unary operation</a> given "sin" and <var>input</var>.</p>
         <ol>
          <li data-md>
-          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①②③">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①②④">throw</a> the error.</p>
+          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑤⓪">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑤①">throw</a> the error.</p>
+        </ol>
+       <li data-md>
+        <p>Return <var>output</var>.</p>
+      </ol>
+     </div>
+     <div class="algorithm" data-algorithm="sqrt(input)" data-algorithm-for="MLGraphBuilder">
+       The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-sqrt"><code>sqrt(<var>input</var>)</code></dfn> method steps are: 
+      <ol>
+       <li data-md>
+        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-unary-op" id="ref-for-mlgraphbuilder-element-wise-unary-op①②"> create element-wise unary operation</a> given "sqrt" and <var>input</var>.</p>
+        <ol>
+         <li data-md>
+          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑤②">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑤③">throw</a> the error.</p>
         </ol>
        <li data-md>
         <p>Return <var>output</var>.</p>
@@ -3945,10 +4226,10 @@ <h4 class="heading settled" data-level="7.6.11" id="api-mlgraphbuilder-unary"><s
        The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-tan"><code>tan(<var>input</var>)</code></dfn> method steps are: 
       <ol>
        <li data-md>
-        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-unary-op" id="ref-for-mlgraphbuilder-element-wise-unary-op⑨"> create element-wise unary operation</a> given "tan" and <var>input</var>.</p>
+        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-element-wise-unary-op" id="ref-for-mlgraphbuilder-element-wise-unary-op①③"> create element-wise unary operation</a> given "tan" and <var>input</var>.</p>
         <ol>
          <li data-md>
-          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①②⑤">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①②⑥">throw</a> the error.</p>
+          <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑤④">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑤⑤">throw</a> the error.</p>
         </ol>
        <li data-md>
         <p>Return <var>output</var>.</p>
@@ -3956,15 +4237,15 @@ <h4 class="heading settled" data-level="7.6.11" id="api-mlgraphbuilder-unary"><s
      </div>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.6.12" id="api-mlgraphbuilder-elu"><span class="secno">7.6.12. </span><span class="content">The elu() method</span><a class="self-link" href="#api-mlgraphbuilder-elu"></a></h4>
+   <h4 class="heading settled" data-level="7.7.14" id="api-mlgraphbuilder-elu"><span class="secno">7.7.14. </span><span class="content">elu</span><a class="self-link" href="#api-mlgraphbuilder-elu"></a></h4>
     Calculate the <a href="https://en.wikipedia.org/wiki/Rectifier_(neural_networks)#ELU"> exponential linear unit function</a> (ELU) on the input tensor element-wise. The calculation follows the expression <code>max(0, x) + alpha * (exp(min(0, x)) - 1)</code>. 
 <pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mleluoptions"><code><c- g>MLEluOptions</c-></code></dfn> {
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float⑨"><c- b>float</c-></a> <dfn class="idl-code" data-default="1" data-dfn-for="MLEluOptions" data-dfn-type="dict-member" data-export data-type="float " id="dom-mleluoptions-alpha"><code><c- g>alpha</c-></code><a class="self-link" href="#dom-mleluoptions-alpha"></a></dfn> = 1;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①③"><c- b>float</c-></a> <dfn class="idl-code" data-default="1" data-dfn-for="MLEluOptions" data-dfn-type="dict-member" data-export data-type="float " id="dom-mleluoptions-alpha"><code><c- g>alpha</c-></code><a class="self-link" href="#dom-mleluoptions-alpha"></a></dfn> = 1;
 };
 
 <c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder③⓪"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①②⑦"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-elu" id="ref-for-dom-mlgraphbuilder-elu"><c- g>elu</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①②⑧"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/elu(input, options), MLGraphBuilder/elu(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-elu-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-elu-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mleluoptions" id="ref-for-dictdef-mleluoptions"><c- n>MLEluOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/elu(input, options), MLGraphBuilder/elu(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-elu-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-elu-input-options-options"></a></dfn> = {});
-  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation②①"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-elu-options" id="ref-for-dom-mlgraphbuilder-elu-options"><c- g>elu</c-></a>(<c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mleluoptions" id="ref-for-dictdef-mleluoptions①"><c- n>MLEluOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/elu(options), MLGraphBuilder/elu()" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-elu-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-elu-options-options"></a></dfn> = {});
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑤⑦"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-elu" id="ref-for-dom-mlgraphbuilder-elu"><c- g>elu</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑤⑧"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/elu(input, options), MLGraphBuilder/elu(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-elu-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-elu-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mleluoptions" id="ref-for-dictdef-mleluoptions"><c- n>MLEluOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/elu(input, options), MLGraphBuilder/elu(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-elu-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-elu-input-options-options"></a></dfn> = {});
+  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation②②"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-elu-options" id="ref-for-dom-mlgraphbuilder-elu-options"><c- g>elu</c-></a>(<c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mleluoptions" id="ref-for-dictdef-mleluoptions①"><c- n>MLEluOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/elu(options), MLGraphBuilder/elu()" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-elu-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-elu-options-options"></a></dfn> = {});
 };
 </pre>
    <div class="note" role="note">
@@ -3983,23 +4264,23 @@ <h4 class="heading settled" data-level="7.6.12" id="api-mlgraphbuilder-elu"><spa
 </pre>
     </details>
    </div>
-   <h5 class="heading settled" data-level="7.6.12.1" id="api-mlgraphbuilder-elu-input-options"><span class="secno">7.6.12.1. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-elu" id="ref-for-dom-mlgraphbuilder-elu①">elu(input, options)</a></code> method</span><a class="self-link" href="#api-mlgraphbuilder-elu-input-options"></a></h5>
+   <h5 class="heading settled" data-level="7.7.14.1" id="api-mlgraphbuilder-elu-input-options"><span class="secno">7.7.14.1. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-elu" id="ref-for-dom-mlgraphbuilder-elu①">elu(input, options)</a></code></span><a class="self-link" href="#api-mlgraphbuilder-elu-input-options"></a></h5>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①②⑨">MLOperand</a></code>. The input tensor.</p>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑤⑨">MLOperand</a></code>. The input tensor.</p>
      <li data-md>
       <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mleluoptions" id="ref-for-dictdef-mleluoptions②">MLEluOptions</a></code>. The optional parameters of the operation.</p>
       <ul>
        <li data-md>
-        <p><em>alpha</em>: a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①⓪">float</a></code> scalar multiplier, default to 1.</p>
+        <p><em>alpha</em>: a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①④">float</a></code> scalar multiplier, default to 1.</p>
       </ul>
     </ul>
     <p><strong>Returns:</strong></p>
     <ul>
      <li data-md>
-      <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①③⓪">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
+      <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑥⓪">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
     </ul>
    </div>
    <details class="algorithm" data-algorithm="elu(input, options)" data-algorithm-for="MLGraphBuilder" open>
@@ -4007,33 +4288,33 @@ <h5 class="heading settled" data-level="7.6.12.1" id="api-mlgraphbuilder-elu-inp
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①②⑦">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror②①">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑥②">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑤⑥">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror②④">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑥⑥">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand②">copying an MLOperand</a> given <var>input</var>.</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand③">copying an MLOperand</a> given <var>input</var>.</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined②③">implementation-defined</a> platform operator for the ELU operation, given <var>options</var>.</p>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined②⑧">implementation-defined</a> platform operator for the ELU operation, given <var>options</var>.</p>
           <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot⑦">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot①⓪">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined②④">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined②⑨">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot②②">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot③②">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot②③">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot③③">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
         <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot②④">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot③④">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
      </ol>
     </div>
    </details>
-   <h5 class="heading settled" data-level="7.6.12.2" id="api-mlgraphbuilder-elu-options"><span class="secno">7.6.12.2. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-elu-options" id="ref-for-dom-mlgraphbuilder-elu-options①">elu(options)</a></code> method</span><a class="self-link" href="#api-mlgraphbuilder-elu-options"></a></h5>
+   <h5 class="heading settled" data-level="7.7.14.2" id="api-mlgraphbuilder-elu-options"><span class="secno">7.7.14.2. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-elu-options" id="ref-for-dom-mlgraphbuilder-elu-options①">elu(options)</a></code></span><a class="self-link" href="#api-mlgraphbuilder-elu-options"></a></h5>
    <div>
      <strong>Arguments:</strong> 
     <ul>
@@ -4041,13 +4322,13 @@ <h5 class="heading settled" data-level="7.6.12.2" id="api-mlgraphbuilder-elu-opt
       <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mleluoptions" id="ref-for-dictdef-mleluoptions③">MLEluOptions</a></code>. The optional parameters of the operation.</p>
       <ul>
        <li data-md>
-        <p><em>alpha</em>: a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①①">float</a></code> scalar multiplier, default to 1.</p>
+        <p><em>alpha</em>: a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①⑤">float</a></code> scalar multiplier, default to 1.</p>
       </ul>
     </ul>
     <p><strong>Returns:</strong></p>
     <ul>
      <li data-md>
-      <p>an <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation②②">MLActivation</a></code>. The activation function representing the elu operation.</p>
+      <p>an <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation②③">MLActivation</a></code>. The activation function representing the elu operation.</p>
     </ul>
    </div>
    <details class="algorithm" data-algorithm="elu(options)" data-algorithm-for="MLGraphBuilder" open>
@@ -4055,172 +4336,423 @@ <h5 class="heading settled" data-level="7.6.12.2" id="api-mlgraphbuilder-elu-opt
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p>Let <var>op</var> be the result of <a data-link-type="dfn" href="#create-an-mlactivation" id="ref-for-create-an-mlactivation①">creating an MLActivation</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this①⑦">this</a>, <code>"elu"</code> and <var>options</var>.</p>
+       <p>Let <var>op</var> be the result of <a data-link-type="dfn" href="#create-an-mlactivation" id="ref-for-create-an-mlactivation①">creating an MLActivation</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this②⓪">this</a>, <code>"elu"</code> and <var>options</var>.</p>
       <li data-md>
        <p>Return <var>op</var>.</p>
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.6.13" id="api-mlgraphbuilder-gemm"><span class="secno">7.6.13. </span><span class="content">The gemm() method</span><a class="self-link" href="#api-mlgraphbuilder-gemm"></a></h4>
-    Calculate the <a href="https://en.wikipedia.org/wiki/Basic_Linear_Algebra_Subprograms#Level_3">general matrix multiplication of the Basic Linear Algebra Subprograms</a>. The calculation follows the expression <code>alpha * A * B + beta * C</code>, where <code>A</code> is a 2-D tensor with shape [M, K] or [K, M], <code>B</code> is a 2-D tensor with shape [K, N] or [N, K], and <code>C</code> is broadcastable to the shape [M, N]. <code>A</code> and <code>B</code> may optionally be transposed prior to the calculation. 
-<pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlgemmoptions"><code><c- g>MLGemmOptions</c-></code></dfn> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①③①"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlgemmoptions-c" id="ref-for-dom-mlgemmoptions-c"><c- g>c</c-></a>;
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①②"><c- b>float</c-></a> <a class="idl-code" data-default="1.0" data-link-type="dict-member" data-type="float " href="#dom-mlgemmoptions-alpha" id="ref-for-dom-mlgemmoptions-alpha"><c- g>alpha</c-></a> = 1.0;
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①③"><c- b>float</c-></a> <a class="idl-code" data-default="1.0" data-link-type="dict-member" data-type="float " href="#dom-mlgemmoptions-beta" id="ref-for-dom-mlgemmoptions-beta"><c- g>beta</c-></a> = 1.0;
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean"><c- b>boolean</c-></a> <a class="idl-code" data-default="false" data-link-type="dict-member" data-type="boolean " href="#dom-mlgemmoptions-atranspose" id="ref-for-dom-mlgemmoptions-atranspose"><c- g>aTranspose</c-></a> = <c- b>false</c->;
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean①"><c- b>boolean</c-></a> <a class="idl-code" data-default="false" data-link-type="dict-member" data-type="boolean " href="#dom-mlgemmoptions-btranspose" id="ref-for-dom-mlgemmoptions-btranspose"><c- g>bTranspose</c-></a> = <c- b>false</c->;
-};
-
-<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder③①"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①③②"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-gemm" id="ref-for-dom-mlgraphbuilder-gemm①"><c- g>gemm</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①③③"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gemm(a, b, options), MLGraphBuilder/gemm(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gemm-a-b-options-a"><code><c- g>a</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gemm-a-b-options-a"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①③④"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gemm(a, b, options), MLGraphBuilder/gemm(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gemm-a-b-options-b"><code><c- g>b</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gemm-a-b-options-b"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlgemmoptions" id="ref-for-dictdef-mlgemmoptions"><c- n>MLGemmOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gemm(a, b, options), MLGraphBuilder/gemm(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gemm-a-b-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gemm-a-b-options-options"></a></dfn> = {});
+   <h4 class="heading settled" data-level="7.7.15" id="api-mlgraphbuilder-expand"><span class="secno">7.7.15. </span><span class="content">expand</span><a class="self-link" href="#api-mlgraphbuilder-expand"></a></h4>
+    Expand any dimension of size 1 of the input tensor to a larger size according to the new shape. The expansion is consistent with <a data-link-type="biblio" href="#biblio-numpy-broadcasting-rule" title="General Broadcasting Rules of NumPy">[numpy-broadcasting-rule]</a>. The input dimensions must have the size of 1 or match the sizes of the corresponding output dimensions according to the new shape. 
+<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder③①"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑥①"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-expand" id="ref-for-dom-mlgraphbuilder-expand"><c- g>expand</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑥②"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/expand(input, newShape)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-expand-input-newshape-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-expand-input-newshape-input"></a></dfn>, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①⓪"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long②⑨"><c- b>unsigned</c-> <c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/expand(input, newShape)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-expand-input-newshape-newshape"><code><c- g>newShape</c-></code><a class="self-link" href="#dom-mlgraphbuilder-expand-input-newshape-newshape"></a></dfn>);
 };
 </pre>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlgemmoptions" id="ref-for-dictdef-mlgemmoptions①">MLGemmOptions</a></code> has the following members:</p>
-   <dl>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGemmOptions" data-dfn-type="dict-member" data-export id="dom-mlgemmoptions-c"><code>c</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①③⑤">MLOperand</a></span>
-    <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①③⑥">MLOperand</a></code>. Specifies the third input tensor. It is either a scalar, or of the shape that is unidirectionally broadcastable to the shape [M, N] according to <a data-link-type="biblio" href="#biblio-numpy-broadcasting-rule" title="General Broadcasting Rules of NumPy">[numpy-broadcasting-rule]</a>. When it is not specified, the computation is done as if <em>c</em> is a scalar 0.0.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGemmOptions" data-dfn-type="dict-member" data-export id="dom-mlgemmoptions-alpha"><code>alpha</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①④">float</a>, defaulting to <code>1.0</code></span>
-    <dd data-md>
-     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①⑤">float</a></code> scalar multiplier for the first input.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGemmOptions" data-dfn-type="dict-member" data-export id="dom-mlgemmoptions-beta"><code>beta</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①⑥">float</a>, defaulting to <code>1.0</code></span>
-    <dd data-md>
-     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①⑦">float</a></code> scalar multiplier for the third input <code class="idl"><a data-link-type="idl" href="#dom-mlgemmoptions-c" id="ref-for-dom-mlgemmoptions-c①">c</a></code>.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGemmOptions" data-dfn-type="dict-member" data-export id="dom-mlgemmoptions-atranspose"><code>aTranspose</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean②">boolean</a>, defaulting to <code>false</code></span>
-    <dd data-md>
-     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean③">boolean</a></code> indicating if the first input should be transposed prior to calculating the output.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGemmOptions" data-dfn-type="dict-member" data-export id="dom-mlgemmoptions-btranspose"><code>bTranspose</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean④">boolean</a>, defaulting to <code>false</code></span>
-    <dd data-md>
-     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean⑤">boolean</a></code> indicating if the second input should be transposed prior to calculating the output.</p>
-   </dl>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>a</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①③⑦">MLOperand</a></code>. The first input 2-D tensor with shape [M, K] if <em>aTranspose</em> is false, or [K, M] if <em>aTranspose</em> is true.</p>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑥③">MLOperand</a></code>. An input tensor</p>
      <li data-md>
-      <p><em>b</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①③⑧">MLOperand</a></code>. The second input 2-D tensor with shape [K, N] if <em>bTranspose</em> is false, or [N, K] if <em>bTranspose</em> is true.</p>
-     <li data-md>
-      <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlgemmoptions" id="ref-for-dictdef-mlgemmoptions②">MLGemmOptions</a></code>. The optional parameters of the operation.</p>
+      <p><em>newShape</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③⓪">unsigned long</a></code>. The new shape the input tensor is expanded to.</p>
     </ul>
-    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①③⑨">MLOperand</a></code>. The output 2-D tensor of shape [M, N] that contains the calculated product of all the inputs.</p>
+    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑥④">MLOperand</a></code>. The tensor with expanded size dimensions.</p>
    </div>
-   <details class="algorithm" data-algorithm="gemm(a, b, options)" data-algorithm-for="MLGraphBuilder" open>
-    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export data-lt="gemm(a, b, options)|gemm(a, b)" id="dom-mlgraphbuilder-gemm"><code>gemm(<var>a</var>, <var>b</var>, <var>options</var>)</code></dfn> method steps are: </summary>
+   <details class="algorithm" data-algorithm="expand(input, newShape)" data-algorithm-for="MLGraphBuilder" open>
+    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-expand"><code>expand(<var>input</var>, <var>newShape</var>)</code></dfn> method steps are: </summary>
     <div class="algorithm-steps">
+     <div class="note" role="note"> The permissions and context validity have been checked by <a href="#api-mlgraphbuilder-constructor">§ 7.7.1 MLGraphBuilder constructor</a> steps. </div>
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert③②">Assert</a>: the type of <var>a</var> and <var>b</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①④⓪">MLOperand</a></code>.</p>
-      <li data-md>
-       <p>Let <var>shapeA</var> be <var>a</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot④④">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions④①">dimensions</a></code> and <var>sizeA</var> the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size②④">size</a> of <var>shapeA</var>.</p>
-      <li data-md>
-       <p>Let <var>shapeB</var> be <var>b</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot④⑤">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions④②">dimensions</a></code> and <var>sizeB</var> the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size②⑤">size</a> of <var>shapeB</var>.</p>
-      <li data-md>
-       <p>If <var>sizeA</var> is not 2 or <var>sizeB</var> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①②⑧">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror③②">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑥③">DOMException</a></code>.</p>
-      <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgemmoptions-atranspose" id="ref-for-dom-mlgemmoptions-atranspose①">aTranspose</a></code> is true, then let <var>shapeA</var> be the reverse array of <var>shapeA</var>.</p>
-      <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgemmoptions-btranspose" id="ref-for-dom-mlgemmoptions-btranspose①">bTranspose</a></code> is true, then let <var>shapeB</var> be the reverse array of <var>shapeB</var>.</p>
-      <li data-md>
-       <p>If <var>shapeA</var>[1] is not equal to <var>shapeB</var>[0], then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①②⑨">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror③③">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑥④">DOMException</a></code>.</p>
-      <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgemmoptions-c" id="ref-for-dom-mlgemmoptions-c②">c</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists②⑦">exists</a> and is not unidirectionally broadcastable to the shape [<var>shapeA</var>[0], <var>shapeB</var>[1]] according to the <a data-link-type="biblio" href="#biblio-numpy-broadcasting-rule" title="General Broadcasting Rules of NumPy">[numpy-broadcasting-rule]</a>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①③⓪">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror③④">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑥⑤">DOMException</a></code>.</p>
-       <div class="note" role="note"> Type compatibility between <var>a</var>, <var>b</var> and <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgemmoptions-c" id="ref-for-dom-mlgemmoptions-c③">c</a></code> can be also checked. </div>
-      <li data-md>
-       <p>Let <var>desc</var> a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①⑦">MLOperandDescriptor</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert③①">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑥⑤">MLOperand</a></code> object.</p>
       <li data-md>
-       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions④③">dimensions</a></code> to [<var>shapeA</var>[0], <var>shapeB</var>[1]].</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert③②">Assert</a>: the type of <var>newShape</var> is a <code>sequence of unsigned long</code>.</p>
       <li data-md>
-       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②⑤">dataType</a></code> to <var>a</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot④⑥">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②⑥">dataType</a></code>.</p>
+       <p>If any of the following steps fail, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑤⑦">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror③③">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑥⑦">DOMException</a></code>.</p>
+       <ol>
+        <li data-md>
+         <p>Let <var>inputDesc</var> be <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot④④">[[descriptor]]</a></code>.</p>
+        <li data-md>
+         <p>If the sequence length of <var>newShape</var> is not equal to the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank①②">rank</a> of <var>inputDesc</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑤⑧">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror③④">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑥⑧">DOMException</a></code>.</p>
+        <li data-md>
+         <p>Let <var>outputDesc</var> be a copy of <var>inputDesc</var>.</p>
+        <li data-md>
+         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate①③">For each</a> <var>index</var> in <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#the-range" id="ref-for-the-range⑤">the range</a> 0 to the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank①③">rank</a> of <var>input</var>, exclusive:</p>
+         <ol>
+          <li data-md>
+           <p>Let <var>size</var> be the <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-shape" id="ref-for-dom-mloperand-shape">shape()</a></code>[<var>index</var>].</p>
+          <li data-md>
+           <p>If <var>size</var> is not equal to 1 and not equal to <var>newShape</var>[index], then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑤⑨">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror③⑤">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑥⑨">DOMException</a></code>.</p>
+          <li data-md>
+           <p>If <var>size</var> is equal to 1, then let <var>outputDesc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③⑨">dimensions</a></code>[<var>index</var>] be <var>newShape</var>[<var>index</var>].</p>
+         </ol>
+       </ol>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①③①">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror②②">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑥⑥">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑥⓪">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror②⑤">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑦⓪">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand⑧">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this①⑧">this</a> and <var>desc</var>.</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand①①">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this②①">this</a> and <var>outputDesc</var>.</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined②⑤">implementation-defined</a> platform operator for the GEMM operation, given <var>options</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined③⓪">implementation-defined</a> platform operator <var>expandImpl</var> for this method, given <var>input</var> and <var>newShape</var>.</p>
           <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot⑧">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>expandImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot①①">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined②⑥">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined③①">implementation-defined</a> platform operand <var>outputImpl</var> to represent output,given <var>output</var> and <var>expandImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot②⑤">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot③⑤">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>a</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot②⑥">[[operand]]</a></code> and <var>b</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot②⑦">[[operand]]</a></code> as inputs to <var>opImpl</var>.</p>
+         <p>Connect <var>input</var> as input to <var>expandImpl</var>.</p>
         <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot②⑧">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot③⑥">[[operand]]</a></code> as output to <var>expandImpl</var>.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
      </ol>
     </div>
    </details>
-   <div class="note" role="note">
-    <details open>
-     <summary> The behavior of this operation can be generically emulated from the usage of other operations as follow. However, user agents typically have a more efficient implementation for it, therefore its usage is encouraged from the performance standpoint. </summary>
-<pre class="highlight"><c- k>if</c-> <c- p>(</c->options<c- p>.</c->aTranspose<c- p>)</c->
-  a <c- o>=</c-> builder<c- p>.</c->transpose<c- p>(</c->a<c- p>);</c->
-
-<c- k>if</c-> <c- p>(</c->options<c- p>.</c->bTranspose<c- p>)</c->
-  b <c- o>=</c-> builder<c- p>.</c->transpose<c- p>(</c->b<c- p>);</c->
-
-<c- a>let</c-> ab <c- o>=</c-> builder<c- p>.</c->matmul<c- p>(</c->builder<c- p>.</c->mul<c- p>(</c->builder<c- p>.</c->constant<c- p>(</c->options<c- p>.</c->alpha<c- p>),</c-> a<c- p>),</c-> b<c- p>);</c->
-<c- k>return</c-> <c- p>(</c->c <c- o>?</c-> builder<c- p>.</c->add<c- p>(</c->ab<c- p>,</c-> builder<c- p>.</c->mul<c- p>(</c->builder<c- p>.</c->constant<c- p>(</c->options<c- p>.</c->beta<c- p>),</c-> c<c- p>))</c-> <c- o>:</c-> ab<c- p>);</c->
-</pre>
-    </details>
-   </div>
-   <h4 class="heading settled" data-level="7.6.14" id="api-mlgraphbuilder-gru"><span class="secno">7.6.14. </span><span class="content">The gru() method</span><a class="self-link" href="#api-mlgraphbuilder-gru"></a></h4>
-    Gated Recurrent Unit <a data-link-type="biblio" href="#biblio-gru" title="Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation">[GRU]</a> recurrent network uses an update, reset, and new gate to compute the output state that rolls into the output across the temporal sequence of the network. 
-<pre class="idl highlight def"><c- b>enum</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="enum" data-export id="enumdef-mlgruweightlayout"><code><c- g>MLGruWeightLayout</c-></code></dfn> {
-  <dfn class="idl-code" data-dfn-for="MLGruWeightLayout" data-dfn-type="enum-value" data-export id="dom-mlgruweightlayout-zrn"><code><c- s>"zrn"</c-></code><a class="self-link" href="#dom-mlgruweightlayout-zrn"></a></dfn>,  // update-reset-new gate ordering
-  <dfn class="idl-code" data-dfn-for="MLGruWeightLayout" data-dfn-type="enum-value" data-export id="dom-mlgruweightlayout-rzn"><code><c- s>"rzn"</c-></code><a class="self-link" href="#dom-mlgruweightlayout-rzn"></a></dfn>   // reset-update-new gate ordering
-};
-
-<c- b>enum</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="enum" data-export id="enumdef-mlrecurrentnetworkdirection"><code><c- g>MLRecurrentNetworkDirection</c-></code></dfn> {
-  <dfn class="idl-code" data-dfn-for="MLRecurrentNetworkDirection" data-dfn-type="enum-value" data-export id="dom-mlrecurrentnetworkdirection-forward"><code><c- s>"forward"</c-></code><a class="self-link" href="#dom-mlrecurrentnetworkdirection-forward"></a></dfn>,
-  <dfn class="idl-code" data-dfn-for="MLRecurrentNetworkDirection" data-dfn-type="enum-value" data-export id="dom-mlrecurrentnetworkdirection-backward"><code><c- s>"backward"</c-></code><a class="self-link" href="#dom-mlrecurrentnetworkdirection-backward"></a></dfn>,
-  <dfn class="idl-code" data-dfn-for="MLRecurrentNetworkDirection" data-dfn-type="enum-value" data-export id="dom-mlrecurrentnetworkdirection-both"><code><c- s>"both"</c-></code><a class="self-link" href="#dom-mlrecurrentnetworkdirection-both"></a></dfn>
-};
-
-<c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlgruoptions"><code><c- g>MLGruOptions</c-></code></dfn> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①④①"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlgruoptions-bias" id="ref-for-dom-mlgruoptions-bias"><c- g>bias</c-></a>;
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①④②"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlgruoptions-recurrentbias" id="ref-for-dom-mlgruoptions-recurrentbias"><c- g>recurrentBias</c-></a>;
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①④③"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlgruoptions-initialhiddenstate" id="ref-for-dom-mlgruoptions-initialhiddenstate"><c- g>initialHiddenState</c-></a>;
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean⑥"><c- b>boolean</c-></a> <a class="idl-code" data-default="true" data-link-type="dict-member" data-type="boolean " href="#dom-mlgruoptions-resetafter" id="ref-for-dom-mlgruoptions-resetafter"><c- g>resetAfter</c-></a> = <c- b>true</c->;
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean⑦"><c- b>boolean</c-></a> <a class="idl-code" data-default="false" data-link-type="dict-member" data-type="boolean " href="#dom-mlgruoptions-returnsequence" id="ref-for-dom-mlgruoptions-returnsequence"><c- g>returnSequence</c-></a> = <c- b>false</c->;
-  <a data-link-type="idl-name" href="#enumdef-mlrecurrentnetworkdirection" id="ref-for-enumdef-mlrecurrentnetworkdirection"><c- n>MLRecurrentNetworkDirection</c-></a> <a class="idl-code" data-default="&quot;forward&quot;" data-link-type="dict-member" data-type="MLRecurrentNetworkDirection " href="#dom-mlgruoptions-direction" id="ref-for-dom-mlgruoptions-direction"><c- g>direction</c-></a> = "forward";
-  <a data-link-type="idl-name" href="#enumdef-mlgruweightlayout" id="ref-for-enumdef-mlgruweightlayout"><c- n>MLGruWeightLayout</c-></a> <a class="idl-code" data-default="&quot;zrn&quot;" data-link-type="dict-member" data-type="MLGruWeightLayout " href="#dom-mlgruoptions-layout" id="ref-for-dom-mlgruoptions-layout"><c- g>layout</c-></a> = "zrn";
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①⓪"><c- b>sequence</c-></a>&lt;<a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation②③"><c- n>MLActivation</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<MLActivation> " href="#dom-mlgruoptions-activations" id="ref-for-dom-mlgruoptions-activations"><c- g>activations</c-></a>;
+   <h4 class="heading settled" data-level="7.7.16" id="api-mlgraphbuilder-gather"><span class="secno">7.7.16. </span><span class="content">gather</span><a class="self-link" href="#api-mlgraphbuilder-gather"></a></h4>
+    Gather values of the input tensor along an axis according to the indices. 
+<pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlgatheroptions"><code><c- g>MLGatherOptions</c-></code></dfn> {
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③①"><c- b>unsigned</c-> <c- b>long</c-></a> <a class="idl-code" data-default="0" data-link-type="dict-member" data-type="unsigned long " href="#dom-mlgatheroptions-axis" id="ref-for-dom-mlgatheroptions-axis"><c- g>axis</c-></a> = 0;
 };
 
 <c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder③②"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①①"><c- b>sequence</c-></a>&lt;<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①④④"><c- n>MLOperand</c-></a>> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-gru" id="ref-for-dom-mlgraphbuilder-gru"><c- g>gru</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①④⑤"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-input"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①④⑥"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-weight"><code><c- g>weight</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-weight"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①④⑦"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-recurrentweight"><code><c- g>recurrentWeight</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-recurrentweight"></a></dfn>,
-                          <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long②⑦"><c- b>unsigned</c-> <c- b>long</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-steps"><code><c- g>steps</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-steps"></a></dfn>, <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long②⑧"><c- b>unsigned</c-> <c- b>long</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-hiddensize"><code><c- g>hiddenSize</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-hiddensize"></a></dfn>,
-                          <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlgruoptions" id="ref-for-dictdef-mlgruoptions"><c- n>MLGruOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-options"></a></dfn> = {});
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑥⑥"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-gather" id="ref-for-dom-mlgraphbuilder-gather"><c- g>gather</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑥⑦"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gather(input, indices, options), MLGraphBuilder/gather(input, indices)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gather-input-indices-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gather-input-indices-options-input"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑥⑧"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gather(input, indices, options), MLGraphBuilder/gather(input, indices)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gather-input-indices-options-indices"><code><c- g>indices</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gather-input-indices-options-indices"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlgatheroptions" id="ref-for-dictdef-mlgatheroptions"><c- n>MLGatherOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gather(input, indices, options), MLGraphBuilder/gather(input, indices)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gather-input-indices-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gather-input-indices-options-options"></a></dfn> = {});
 };
 </pre>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlgruoptions" id="ref-for-dictdef-mlgruoptions①">MLGruOptions</a></code> has the following members:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlgatheroptions" id="ref-for-dictdef-mlgatheroptions①">MLGatherOptions</a></code> has the following members:</p>
    <dl>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGruOptions" data-dfn-type="dict-member" data-export id="dom-mlgruoptions-bias"><code>bias</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①④⑧">MLOperand</a></span>
-    <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①④⑨">MLOperand</a></code>. Specifies the 2-D input bias tensor of shape [numDirections, 3 * hiddenSize]. The ordering of the bias vectors in the second dimension of the tensor shape is specified according to the <code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-layout" id="ref-for-dom-mlgruoptions-layout①">layout</a></code> argument.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGruOptions" data-dfn-type="dict-member" data-export id="dom-mlgruoptions-recurrentbias"><code>recurrentBias</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑤⓪">MLOperand</a></span>
-    <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑤①">MLOperand</a></code>. Specifies the 2-D recurrent bias tensor of shape [numDirections, 3 * hiddenSize]. The ordering of the bias vectors in the second dimension of the tensor shape is specified according to the <code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-layout" id="ref-for-dom-mlgruoptions-layout②">layout</a></code> argument.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGruOptions" data-dfn-type="dict-member" data-export id="dom-mlgruoptions-initialhiddenstate"><code>initialHiddenState</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑤②">MLOperand</a></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGatherOptions" data-dfn-type="dict-member" data-export id="dom-mlgatheroptions-axis"><code>axis</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③②">unsigned long</a>, defaulting to <code>0</code></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑤③">MLOperand</a></code>. The 3-D initial hidden state tensor of shape [numDirections, batchSize, hiddenSize].
+     <p>An <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③③">unsigned long</a></code> scalar specifying the axis along which the gathered values are obtained. Its value must be in the range [0, N-1] where N is the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank①④">rank</a> of the input tensor.</p>
+   </dl>
+   <div>
+     <strong>Arguments:</strong> 
+    <ul>
+     <li data-md>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑥⑨">MLOperand</a></code>. The input N-D tensor from which the values are gathered.</p>
+     <li data-md>
+      <p><em>indices</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑦⓪">MLOperand</a></code>. The indices N-D tensor of the input values to gather. The values must be of type "uint32" or "int64" in the range [0, N-1] where N is the size of the input dimension indexed by <em>options.axis</em>.</p>
+     <li data-md>
+      <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlgatheroptions" id="ref-for-dictdef-mlgatheroptions②">MLGatherOptions</a></code>. The optional parameters of the operation.</p>
+    </ul>
+    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑦①">MLOperand</a></code>. The output N-D tensor of <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank①⑤">rank</a> equal to the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank①⑥">rank</a> of <em>input</em> + the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank①⑦">rank</a> of <em>indices</em> - 1.</p>
+   </div>
+   <details class="algorithm" data-algorithm="gather(input, indices, options)" data-algorithm-for="MLGraphBuilder" open>
+    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export data-lt="gather(input, indices, options)|gather(input, indices)" id="dom-mlgraphbuilder-gather"><code>gather(<var>input</var>, <var>indices</var>, <var>options</var>)</code></dfn> method steps are: </summary>
+    <div class="algorithm-steps">
+     <ol>
+      <li data-md>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert③③">Assert</a>: the type of <var>input</var> and <var>indices</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑦②">MLOperand</a></code>.</p>
+      <li data-md>
+       <p>If <var>indices</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-datatype" id="ref-for-dom-mloperand-datatype">dataType()</a></code> is neither "uint32" nor "int64", then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑥①">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror③⑥">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑦①">DOMException</a></code>.</p>
+      <li data-md>
+       <p>Let <var>shapeInput</var> be <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot④⑤">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions④⓪">dimensions</a></code> and <var>rankInput</var> be the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size②②">size</a> of <var>shapeInput</var>.</p>
+      <li data-md>
+       <p>Let <var>shapeIndices</var> be <var>indices</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot④⑥">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions④①">dimensions</a></code>.</p>
+      <li data-md>
+       <p>Let <var>axis</var> be <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgatheroptions-axis" id="ref-for-dom-mlgatheroptions-axis①">axis</a></code>.</p>
+      <li data-md>
+       <p>Let <var>axisSize</var> be <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot④⑦">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions④②">dimensions</a></code>[<var>axis</var>]</p>
+      <li data-md>
+       <p>If <var>axis</var> is greater than or equal to <var>rankInput</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑥②">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror③⑦">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑦②">DOMException</a></code>.</p>
+      <li data-md>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate①④">For each</a> <var>index</var> → <var>value</var> of <var>indices</var>:</p>
+       <ol>
+        <li data-md>
+         <p>If <var>index</var> is greater than or equal to <var>axisSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑥③">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror③⑧">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑦③">DOMException</a></code>.</p>
+       </ol>
+      <li data-md>
+       <p>Let <var>dimCount</var> be zero.</p>
+      <li data-md>
+       <p>Let <var>rankOutput</var> be zero.</p>
+      <li data-md>
+       <p>Let <var>shapeOutput</var> be an empty list.</p>
+      <li data-md>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate①⑤">For each</a> <var>size</var> → <var>value</var> of <var>shapeInput</var>:</p>
+       <ol>
+        <li data-md>
+         <p>If <var>dimCount</var> is equal to <var>axis</var> then <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#iteration-break" id="ref-for-iteration-break">break</a>.</p>
+        <li data-md>
+         <p>Set <var>shapeOutput</var>[<var>dimCount</var>] to <var>size</var>.</p>
+        <li data-md>
+         <p>Increment <var>dimCount</var> by one.</p>
+       </ol>
+      <li data-md>
+       <p>Set <var>rankOutput</var> to <var>dimCount</var>.</p>
+      <li data-md>
+       <p>Let <var>dimCount</var> be zero.</p>
+      <li data-md>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate①⑥">For each</a> <var>size</var> → <var>value</var> of <var>shapeIndices</var>:</p>
+       <ol>
+        <li data-md>
+         <p>Set <var>shapeOutput</var>[<var>rankOutput</var> + <var>dimCount</var>] to <var>size</var>.</p>
+        <li data-md>
+         <p>Increment <var>dimCount</var> by one.</p>
+       </ol>
+      <li data-md>
+       <p>Set <var>rankOutput</var> to <var>rankOutput</var> + <var>dimCount</var>.</p>
+      <li data-md>
+       <p>Let <var>dimCount</var> be zero.</p>
+      <li data-md>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate①⑦">For each</a> <var>size</var> → <var>value</var> of <var>shapeInput</var>:</p>
+       <ol>
+        <li data-md>
+         <p>If <var>dimCount</var> is less than or equal to <var>axis</var> then <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#iteration-continue" id="ref-for-iteration-continue">continue</a>.</p>
+        <li data-md>
+         <p>Set <var>shapeOutput</var>[<var>rankOutput</var> + <var>dimCount</var> - <var>axis</var> - 1] to <var>size</var>.</p>
+        <li data-md>
+         <p>Increment <var>dimCount</var> by one.</p>
+       </ol>
+      <li data-md>
+       <p>Let <var>desc</var> a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①⑤">MLOperandDescriptor</a></code>.</p>
+      <li data-md>
+       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions④③">dimensions</a></code> to <var>shapeOutput</var>.</p>
+      <li data-md>
+       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②⑨">dataType</a></code> to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot④⑧">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype③⓪">dataType</a></code>.</p>
+      <li data-md>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑥④">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror②⑥">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑦④">DOMException</a></code>.</p>
+       <ol>
+        <li data-md>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand①②">creating an MLOperand</a> given <var>desc</var>.</p>
+        <li data-md>
+         <p>Make a request to the underlying platform to:</p>
+         <ol>
+          <li data-md>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined③②">implementation-defined</a> platform operator for the Gather operation, given <var>input</var>, <var>indices</var>, and <var>options</var>.</p>
+          <li data-md>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot①②">[[operator]]</a></code>.</p>
+          <li data-md>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined③③">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+          <li data-md>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot③⑦">[[operand]]</a></code>.</p>
+         </ol>
+        <li data-md>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot③⑧">[[operand]]</a></code> and <var>indices</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot③⑨">[[operand]]</a></code> as inputs to <var>opImpl</var>.</p>
+        <li data-md>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot④⓪">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+       </ol>
+      <li data-md>
+       <p>Return <var>output</var>.</p>
+     </ol>
+    </div>
+   </details>
+   <div class="example" id="example-7464c83f">
+    <a class="self-link" href="#example-7464c83f"></a> 
+    <details open>
+     <summary> Examples of how gather works in different slicing schemes. </summary>
+<pre class="highlight"><c- c1>// input of shape [4,3]:</c->
+<c- c1>//   [[ 0,  1,  2],</c->
+<c- c1>//    [10, 11, 12], </c->
+<c- c1>//    [20, 21, 22], </c->
+<c- c1>//    [30, 31, 32]]</c->
+<c- a>const</c-> input <c- o>=</c-> builder<c- p>.</c->constant<c- p>(</c->
+<c- p>{</c-> dimensions<c- o>:</c-> <c- p>[</c-><c- mf>4</c-><c- p>,</c-><c- mf>3</c-><c- p>]</c-> <c- p>},</c-> <c- ow>new</c-> Float32Array<c- p>([</c-><c- mf>0</c-><c- p>,</c-><c- mf>1</c-><c- p>,</c-><c- mf>2</c-><c- p>,</c-><c- mf>10</c-><c- p>,</c-><c- mf>11</c-><c- p>,</c-><c- mf>12</c-><c- p>,</c-><c- mf>20</c-><c- p>,</c-><c- mf>21</c-><c- p>,</c-><c- mf>22</c-><c- p>,</c-><c- mf>30</c-><c- p>,</c-><c- mf>31</c-><c- p>,</c-><c- mf>32</c-><c- p>]));</c->
+
+<c- a>const</c-> indices1 <c- o>=</c-> builder<c- p>.</c->constant<c- p>(</c->
+<c- p>{</c-> dataType<c- o>:</c-> <c- t>'uint32'</c-><c- p>,</c-> dimensions<c- o>:</c-> <c- p>[</c-><c- mf>2</c-><c- p>]</c-> <c- p>},</c-> <c- ow>new</c-> Uint32Array<c- p>([</c-><c- mf>3</c-><c- p>,</c-><c- mf>1</c-><c- p>]));</c->
+
+<c- a>const</c-> indices2 <c- o>=</c-> builder<c- p>.</c->constant<c- p>(</c->
+<c- p>{</c-> dataType<c- o>:</c-> <c- t>'uint32'</c-><c- p>,</c-> dimensions<c- o>:</c-> <c- p>[</c-><c- mf>3</c-><c- p>]</c-> <c- p>},</c-> <c- ow>new</c-> Uint32Array<c- p>([</c-><c- mf>2</c-><c- p>,</c-><c- mf>1</c-><c- p>,</c-><c- mf>1</c-><c- p>]));</c->
+
+<c- a>const</c-> indices3 <c- o>=</c-> builder<c- p>.</c->constant<c- p>(</c->
+<c- p>{</c-> dataType<c- o>:</c-> <c- t>'uint32'</c-><c- p>,</c-> dimensions<c- o>:</c-> <c- p>[</c-><c- mf>2</c-><c- p>,</c-><c- mf>2</c-><c- p>]</c-> <c- p>},</c-> <c- ow>new</c-> Uint32Array<c- p>([</c-><c- mf>0</c-><c- p>,</c-><c- mf>1</c-><c- p>,</c-><c- mf>1</c-><c- p>,</c-><c- mf>2</c-><c- p>]));</c->
+
+<c- c1>// axis = 0 (default)</c->
+<c- c1>// indices of shape [2]: </c->
+<c- c1>//   [3,1]</c->
+<c- c1>// output of shape [2,3]:</c->
+<c- c1>//   [[30, 31, 32], </c->
+<c- c1>//    [10, 11, 12]]</c->
+<c- a>const</c-> output1 <c- o>=</c-> builder<c- p>.</c->gather<c- p>(</c->input<c- p>,</c-> indices1<c- p>);</c->
+
+<c- c1>// axis = 1</c->
+<c- c1>// indices of shape [3]:</c->
+<c- c1>//   [2,1,1]</c->
+<c- c1>// output of shape [4,3]:</c->
+<c- c1>//   [[ 2,  1,  1],</c->
+<c- c1>//    [12, 11, 11], </c->
+<c- c1>//    [22, 21, 21],</c->
+<c- c1>//    [32, 31, 31]]</c->
+<c- a>const</c-> output2 <c- o>=</c-> builder<c- p>.</c->gather<c- p>(</c->input<c- p>,</c-> indices2<c- p>,</c-> <c- p>{</c-> axis<c- o>:</c-> <c- mf>1</c-> <c- p>});</c->
+
+<c- c1>// axis = 1</c->
+<c- c1>// indices of shape [2,2]: </c->
+<c- c1>//   [[0, 1], </c->
+<c- c1>//    [1, 2]]</c->
+<c- c1>// output of shape [4,2,2]:</c->
+<c- c1>//   [[[ 0,  1], [ 1,  2]],</c->
+<c- c1>//    [[10, 11], [11, 12]],</c->
+<c- c1>//    [[20, 21], [21, 22]],</c->
+<c- c1>//    [[30, 31], [31, 32]]]</c->
+<c- a>const</c-> output3 <c- o>=</c-> builder<c- p>.</c->gather<c- p>(</c->input<c- p>,</c-> indices3<c- p>,</c-> <c- p>{</c-> axis<c- o>:</c-> <c- mf>1</c-> <c- p>});</c->
+</pre>
+    </details>
+   </div>
+   <h4 class="heading settled" data-level="7.7.17" id="api-mlgraphbuilder-gemm"><span class="secno">7.7.17. </span><span class="content">gemm</span><a class="self-link" href="#api-mlgraphbuilder-gemm"></a></h4>
+    Calculate the <a href="https://en.wikipedia.org/wiki/Basic_Linear_Algebra_Subprograms#Level_3">general matrix multiplication of the Basic Linear Algebra Subprograms</a>. The calculation follows the expression <code>alpha * A * B + beta * C</code>, where <code>A</code> is a 2-D tensor with shape [M, K] or [K, M], <code>B</code> is a 2-D tensor with shape [K, N] or [N, K], and <code>C</code> is broadcastable to the shape [M, N]. <code>A</code> and <code>B</code> may optionally be transposed prior to the calculation. 
+<pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlgemmoptions"><code><c- g>MLGemmOptions</c-></code></dfn> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑦③"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlgemmoptions-c" id="ref-for-dom-mlgemmoptions-c"><c- g>c</c-></a>;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①⑥"><c- b>float</c-></a> <a class="idl-code" data-default="1.0" data-link-type="dict-member" data-type="float " href="#dom-mlgemmoptions-alpha" id="ref-for-dom-mlgemmoptions-alpha"><c- g>alpha</c-></a> = 1.0;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①⑦"><c- b>float</c-></a> <a class="idl-code" data-default="1.0" data-link-type="dict-member" data-type="float " href="#dom-mlgemmoptions-beta" id="ref-for-dom-mlgemmoptions-beta"><c- g>beta</c-></a> = 1.0;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean⑧"><c- b>boolean</c-></a> <a class="idl-code" data-default="false" data-link-type="dict-member" data-type="boolean " href="#dom-mlgemmoptions-atranspose" id="ref-for-dom-mlgemmoptions-atranspose"><c- g>aTranspose</c-></a> = <c- b>false</c->;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean⑨"><c- b>boolean</c-></a> <a class="idl-code" data-default="false" data-link-type="dict-member" data-type="boolean " href="#dom-mlgemmoptions-btranspose" id="ref-for-dom-mlgemmoptions-btranspose"><c- g>bTranspose</c-></a> = <c- b>false</c->;
+};
+
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder③③"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑦④"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-gemm" id="ref-for-dom-mlgraphbuilder-gemm①"><c- g>gemm</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑦⑤"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gemm(a, b, options), MLGraphBuilder/gemm(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gemm-a-b-options-a"><code><c- g>a</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gemm-a-b-options-a"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑦⑥"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gemm(a, b, options), MLGraphBuilder/gemm(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gemm-a-b-options-b"><code><c- g>b</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gemm-a-b-options-b"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlgemmoptions" id="ref-for-dictdef-mlgemmoptions"><c- n>MLGemmOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gemm(a, b, options), MLGraphBuilder/gemm(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gemm-a-b-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gemm-a-b-options-options"></a></dfn> = {});
+};
+</pre>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlgemmoptions" id="ref-for-dictdef-mlgemmoptions①">MLGemmOptions</a></code> has the following members:</p>
+   <dl>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGemmOptions" data-dfn-type="dict-member" data-export id="dom-mlgemmoptions-c"><code>c</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑦⑦">MLOperand</a></span>
+    <dd data-md>
+     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑦⑧">MLOperand</a></code>. Specifies the third input tensor. It is either a scalar, or of the shape that is unidirectionally broadcastable to the shape [M, N] according to <a data-link-type="biblio" href="#biblio-numpy-broadcasting-rule" title="General Broadcasting Rules of NumPy">[numpy-broadcasting-rule]</a>. When it is not specified, the computation is done as if <em>c</em> is a scalar 0.0.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGemmOptions" data-dfn-type="dict-member" data-export id="dom-mlgemmoptions-alpha"><code>alpha</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①⑧">float</a>, defaulting to <code>1.0</code></span>
+    <dd data-md>
+     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①⑨">float</a></code> scalar multiplier for the first input.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGemmOptions" data-dfn-type="dict-member" data-export id="dom-mlgemmoptions-beta"><code>beta</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②⓪">float</a>, defaulting to <code>1.0</code></span>
+    <dd data-md>
+     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②①">float</a></code> scalar multiplier for the third input <code class="idl"><a data-link-type="idl" href="#dom-mlgemmoptions-c" id="ref-for-dom-mlgemmoptions-c①">c</a></code>.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGemmOptions" data-dfn-type="dict-member" data-export id="dom-mlgemmoptions-atranspose"><code>aTranspose</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean①⓪">boolean</a>, defaulting to <code>false</code></span>
+    <dd data-md>
+     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean①①">boolean</a></code> indicating if the first input should be transposed prior to calculating the output.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGemmOptions" data-dfn-type="dict-member" data-export id="dom-mlgemmoptions-btranspose"><code>bTranspose</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean①②">boolean</a>, defaulting to <code>false</code></span>
+    <dd data-md>
+     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean①③">boolean</a></code> indicating if the second input should be transposed prior to calculating the output.</p>
+   </dl>
+   <div>
+     <strong>Arguments:</strong> 
+    <ul>
+     <li data-md>
+      <p><em>a</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑦⑨">MLOperand</a></code>. The first input 2-D tensor with shape [M, K] if <em>aTranspose</em> is false, or [K, M] if <em>aTranspose</em> is true.</p>
+     <li data-md>
+      <p><em>b</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑧⓪">MLOperand</a></code>. The second input 2-D tensor with shape [K, N] if <em>bTranspose</em> is false, or [N, K] if <em>bTranspose</em> is true.</p>
+     <li data-md>
+      <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlgemmoptions" id="ref-for-dictdef-mlgemmoptions②">MLGemmOptions</a></code>. The optional parameters of the operation.</p>
+    </ul>
+    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑧①">MLOperand</a></code>. The output 2-D tensor of shape [M, N] that contains the calculated product of all the inputs.</p>
+   </div>
+   <details class="algorithm" data-algorithm="gemm(a, b, options)" data-algorithm-for="MLGraphBuilder" open>
+    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export data-lt="gemm(a, b, options)|gemm(a, b)" id="dom-mlgraphbuilder-gemm"><code>gemm(<var>a</var>, <var>b</var>, <var>options</var>)</code></dfn> method steps are: </summary>
+    <div class="algorithm-steps">
+     <ol>
+      <li data-md>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert③④">Assert</a>: the type of <var>a</var> and <var>b</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑧②">MLOperand</a></code>.</p>
+      <li data-md>
+       <p>Let <var>shapeA</var> be <var>a</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot④⑨">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions④④">dimensions</a></code> and <var>sizeA</var> the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size②③">size</a> of <var>shapeA</var>.</p>
+      <li data-md>
+       <p>Let <var>shapeB</var> be <var>b</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑤⓪">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions④⑤">dimensions</a></code> and <var>sizeB</var> the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size②④">size</a> of <var>shapeB</var>.</p>
+      <li data-md>
+       <p>If <var>sizeA</var> is not 2 or <var>sizeB</var> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑥⑤">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror③⑨">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑦⑤">DOMException</a></code>.</p>
+      <li data-md>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgemmoptions-atranspose" id="ref-for-dom-mlgemmoptions-atranspose①">aTranspose</a></code> is true, then let <var>shapeA</var> be the reverse array of <var>shapeA</var>.</p>
+      <li data-md>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgemmoptions-btranspose" id="ref-for-dom-mlgemmoptions-btranspose①">bTranspose</a></code> is true, then let <var>shapeB</var> be the reverse array of <var>shapeB</var>.</p>
+      <li data-md>
+       <p>If <var>shapeA</var>[1] is not equal to <var>shapeB</var>[0], then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑥⑥">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror④⓪">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑦⑥">DOMException</a></code>.</p>
+      <li data-md>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgemmoptions-c" id="ref-for-dom-mlgemmoptions-c②">c</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists②④">exists</a> and is not unidirectionally broadcastable to the shape [<var>shapeA</var>[0], <var>shapeB</var>[1]] according to the <a data-link-type="biblio" href="#biblio-numpy-broadcasting-rule" title="General Broadcasting Rules of NumPy">[numpy-broadcasting-rule]</a>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑥⑦">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror④①">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑦⑦">DOMException</a></code>.</p>
+       <div class="note" role="note"> Type compatibility between <var>a</var>, <var>b</var> and <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgemmoptions-c" id="ref-for-dom-mlgemmoptions-c③">c</a></code> can be also checked. </div>
+      <li data-md>
+       <p>Let <var>desc</var> a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①⑥">MLOperandDescriptor</a></code>.</p>
+      <li data-md>
+       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions④⑥">dimensions</a></code> to [<var>shapeA</var>[0], <var>shapeB</var>[1]].</p>
+      <li data-md>
+       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype③①">dataType</a></code> to <var>a</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑤①">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype③②">dataType</a></code>.</p>
+      <li data-md>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑥⑧">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror②⑦">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑦⑧">DOMException</a></code>.</p>
+       <ol>
+        <li data-md>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand①③">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this②②">this</a> and <var>desc</var>.</p>
+        <li data-md>
+         <p>Make a request to the underlying platform to:</p>
+         <ol>
+          <li data-md>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined③④">implementation-defined</a> platform operator for the GEMM operation, given <var>options</var>.</p>
+          <li data-md>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot①③">[[operator]]</a></code>.</p>
+          <li data-md>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined③⑤">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+          <li data-md>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot④①">[[operand]]</a></code>.</p>
+         </ol>
+        <li data-md>
+         <p>Connect <var>a</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot④②">[[operand]]</a></code> and <var>b</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot④③">[[operand]]</a></code> as inputs to <var>opImpl</var>.</p>
+        <li data-md>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot④④">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+       </ol>
+      <li data-md>
+       <p>Return <var>output</var>.</p>
+     </ol>
+    </div>
+   </details>
+   <div class="note" role="note">
+    <details open>
+     <summary> The behavior of this operation can be generically emulated from the usage of other operations as follow. However, user agents typically have a more efficient implementation for it, therefore its usage is encouraged from the performance standpoint. </summary>
+<pre class="highlight"><c- k>if</c-> <c- p>(</c->options<c- p>.</c->aTranspose<c- p>)</c->
+  a <c- o>=</c-> builder<c- p>.</c->transpose<c- p>(</c->a<c- p>);</c->
+
+<c- k>if</c-> <c- p>(</c->options<c- p>.</c->bTranspose<c- p>)</c->
+  b <c- o>=</c-> builder<c- p>.</c->transpose<c- p>(</c->b<c- p>);</c->
+
+<c- a>let</c-> ab <c- o>=</c-> builder<c- p>.</c->matmul<c- p>(</c->builder<c- p>.</c->mul<c- p>(</c->builder<c- p>.</c->constant<c- p>(</c->options<c- p>.</c->alpha<c- p>),</c-> a<c- p>),</c-> b<c- p>);</c->
+<c- k>return</c-> <c- p>(</c->c <c- o>?</c-> builder<c- p>.</c->add<c- p>(</c->ab<c- p>,</c-> builder<c- p>.</c->mul<c- p>(</c->builder<c- p>.</c->constant<c- p>(</c->options<c- p>.</c->beta<c- p>),</c-> c<c- p>))</c-> <c- o>:</c-> ab<c- p>);</c->
+</pre>
+    </details>
+   </div>
+   <h4 class="heading settled" data-level="7.7.18" id="api-mlgraphbuilder-gru"><span class="secno">7.7.18. </span><span class="content">gru</span><a class="self-link" href="#api-mlgraphbuilder-gru"></a></h4>
+    Gated Recurrent Unit <a data-link-type="biblio" href="#biblio-gru" title="Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation">[GRU]</a> recurrent network uses an update, reset, and new gate to compute the output state that rolls into the output across the temporal sequence of the network. 
+<pre class="idl highlight def"><c- b>enum</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="enum" data-export id="enumdef-mlgruweightlayout"><code><c- g>MLGruWeightLayout</c-></code></dfn> {
+  <dfn class="idl-code" data-dfn-for="MLGruWeightLayout" data-dfn-type="enum-value" data-export id="dom-mlgruweightlayout-zrn"><code><c- s>"zrn"</c-></code><a class="self-link" href="#dom-mlgruweightlayout-zrn"></a></dfn>,  // update-reset-new gate ordering
+  <dfn class="idl-code" data-dfn-for="MLGruWeightLayout" data-dfn-type="enum-value" data-export id="dom-mlgruweightlayout-rzn"><code><c- s>"rzn"</c-></code><a class="self-link" href="#dom-mlgruweightlayout-rzn"></a></dfn>   // reset-update-new gate ordering
+};
+
+<c- b>enum</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="enum" data-export id="enumdef-mlrecurrentnetworkdirection"><code><c- g>MLRecurrentNetworkDirection</c-></code></dfn> {
+  <dfn class="idl-code" data-dfn-for="MLRecurrentNetworkDirection" data-dfn-type="enum-value" data-export id="dom-mlrecurrentnetworkdirection-forward"><code><c- s>"forward"</c-></code><a class="self-link" href="#dom-mlrecurrentnetworkdirection-forward"></a></dfn>,
+  <dfn class="idl-code" data-dfn-for="MLRecurrentNetworkDirection" data-dfn-type="enum-value" data-export id="dom-mlrecurrentnetworkdirection-backward"><code><c- s>"backward"</c-></code><a class="self-link" href="#dom-mlrecurrentnetworkdirection-backward"></a></dfn>,
+  <dfn class="idl-code" data-dfn-for="MLRecurrentNetworkDirection" data-dfn-type="enum-value" data-export id="dom-mlrecurrentnetworkdirection-both"><code><c- s>"both"</c-></code><a class="self-link" href="#dom-mlrecurrentnetworkdirection-both"></a></dfn>
+};
+
+<c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlgruoptions"><code><c- g>MLGruOptions</c-></code></dfn> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑧③"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlgruoptions-bias" id="ref-for-dom-mlgruoptions-bias"><c- g>bias</c-></a>;
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑧④"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlgruoptions-recurrentbias" id="ref-for-dom-mlgruoptions-recurrentbias"><c- g>recurrentBias</c-></a>;
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑧⑤"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlgruoptions-initialhiddenstate" id="ref-for-dom-mlgruoptions-initialhiddenstate"><c- g>initialHiddenState</c-></a>;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean①④"><c- b>boolean</c-></a> <a class="idl-code" data-default="true" data-link-type="dict-member" data-type="boolean " href="#dom-mlgruoptions-resetafter" id="ref-for-dom-mlgruoptions-resetafter"><c- g>resetAfter</c-></a> = <c- b>true</c->;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean①⑤"><c- b>boolean</c-></a> <a class="idl-code" data-default="false" data-link-type="dict-member" data-type="boolean " href="#dom-mlgruoptions-returnsequence" id="ref-for-dom-mlgruoptions-returnsequence"><c- g>returnSequence</c-></a> = <c- b>false</c->;
+  <a data-link-type="idl-name" href="#enumdef-mlrecurrentnetworkdirection" id="ref-for-enumdef-mlrecurrentnetworkdirection"><c- n>MLRecurrentNetworkDirection</c-></a> <a class="idl-code" data-default="&quot;forward&quot;" data-link-type="dict-member" data-type="MLRecurrentNetworkDirection " href="#dom-mlgruoptions-direction" id="ref-for-dom-mlgruoptions-direction"><c- g>direction</c-></a> = "forward";
+  <a data-link-type="idl-name" href="#enumdef-mlgruweightlayout" id="ref-for-enumdef-mlgruweightlayout"><c- n>MLGruWeightLayout</c-></a> <a class="idl-code" data-default="&quot;zrn&quot;" data-link-type="dict-member" data-type="MLGruWeightLayout " href="#dom-mlgruoptions-layout" id="ref-for-dom-mlgruoptions-layout"><c- g>layout</c-></a> = "zrn";
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①①"><c- b>sequence</c-></a>&lt;<a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation②④"><c- n>MLActivation</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<MLActivation> " href="#dom-mlgruoptions-activations" id="ref-for-dom-mlgruoptions-activations"><c- g>activations</c-></a>;
+};
+
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder③④"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①②"><c- b>sequence</c-></a>&lt;<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑧⑥"><c- n>MLOperand</c-></a>> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-gru" id="ref-for-dom-mlgraphbuilder-gru"><c- g>gru</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑧⑦"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-input"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑧⑧"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-weight"><code><c- g>weight</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-weight"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑧⑨"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-recurrentweight"><code><c- g>recurrentWeight</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-recurrentweight"></a></dfn>,
+                          <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③④"><c- b>unsigned</c-> <c- b>long</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-steps"><code><c- g>steps</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-steps"></a></dfn>, <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③⑤"><c- b>unsigned</c-> <c- b>long</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-hiddensize"><code><c- g>hiddenSize</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-hiddensize"></a></dfn>,
+                          <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlgruoptions" id="ref-for-dictdef-mlgruoptions"><c- n>MLGruOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-options"></a></dfn> = {});
+};
+</pre>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlgruoptions" id="ref-for-dictdef-mlgruoptions①">MLGruOptions</a></code> has the following members:</p>
+   <dl>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGruOptions" data-dfn-type="dict-member" data-export id="dom-mlgruoptions-bias"><code>bias</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑨⓪">MLOperand</a></span>
+    <dd data-md>
+     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑨①">MLOperand</a></code>. Specifies the 2-D input bias tensor of shape [numDirections, 3 * hiddenSize]. The ordering of the bias vectors in the second dimension of the tensor shape is specified according to the <code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-layout" id="ref-for-dom-mlgruoptions-layout①">layout</a></code> argument.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGruOptions" data-dfn-type="dict-member" data-export id="dom-mlgruoptions-recurrentbias"><code>recurrentBias</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑨②">MLOperand</a></span>
+    <dd data-md>
+     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑨③">MLOperand</a></code>. Specifies the 2-D recurrent bias tensor of shape [numDirections, 3 * hiddenSize]. The ordering of the bias vectors in the second dimension of the tensor shape is specified according to the <code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-layout" id="ref-for-dom-mlgruoptions-layout②">layout</a></code> argument.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGruOptions" data-dfn-type="dict-member" data-export id="dom-mlgruoptions-initialhiddenstate"><code>initialHiddenState</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑨④">MLOperand</a></span>
+    <dd data-md>
+     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑨⑤">MLOperand</a></code>. The 3-D initial hidden state tensor of shape [numDirections, batchSize, hiddenSize].
 When not specified, implementations SHOULD use a tensor filled with zero.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGruOptions" data-dfn-type="dict-member" data-export id="dom-mlgruoptions-resetafter"><code>resetAfter</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean⑧">boolean</a>, defaulting to <code>true</code></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGruOptions" data-dfn-type="dict-member" data-export id="dom-mlgruoptions-resetafter"><code>resetAfter</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean①⑥">boolean</a>, defaulting to <code>true</code></span>
     <dd data-md>
-     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean⑨">boolean</a></code> indicating whether to apply the reset gate after or before matrix multiplication. The default value is true.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGruOptions" data-dfn-type="dict-member" data-export id="dom-mlgruoptions-returnsequence"><code>returnSequence</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean①⓪">boolean</a>, defaulting to <code>false</code></span>
+     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean①⑦">boolean</a></code> indicating whether to apply the reset gate after or before matrix multiplication. The default value is true.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGruOptions" data-dfn-type="dict-member" data-export id="dom-mlgruoptions-returnsequence"><code>returnSequence</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean①⑧">boolean</a>, defaulting to <code>false</code></span>
     <dd data-md>
-     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean①①">boolean</a></code> indicating whether to also return the entire sequence with every output from each time step in it in addition to the output of the last time step.
+     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean①⑨">boolean</a></code> indicating whether to also return the entire sequence with every output from each time step in it in addition to the output of the last time step.
 The default value is false.</p>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGruOptions" data-dfn-type="dict-member" data-export id="dom-mlgruoptions-direction"><code>direction</code></dfn>, <span> of type <a data-link-type="idl-name" href="#enumdef-mlrecurrentnetworkdirection" id="ref-for-enumdef-mlrecurrentnetworkdirection①">MLRecurrentNetworkDirection</a>, defaulting to <code>"forward"</code></span>
     <dd data-md>
@@ -4228,77 +4760,77 @@ <h4 class="heading settled" data-level="7.6.14" id="api-mlgraphbuilder-gru"><spa
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGruOptions" data-dfn-type="dict-member" data-export id="dom-mlgruoptions-layout"><code>layout</code></dfn>, <span> of type <a data-link-type="idl-name" href="#enumdef-mlgruweightlayout" id="ref-for-enumdef-mlgruweightlayout①">MLGruWeightLayout</a>, defaulting to <code>"zrn"</code></span>
     <dd data-md>
      <p>An <code class="idl"><a data-link-type="idl" href="#enumdef-mlgruweightlayout" id="ref-for-enumdef-mlgruweightlayout②">MLGruWeightLayout</a></code>. The ordering of the weight and bias vectors for the internal gates of GRU, specifically the <code>update (z)</code>, <code>reset (r)</code>, and <code>new (n)</code> gate, as indicated in the second dimension of the weight and bias tensor shape. When not specified, the default layout is <code>"zrn"</code>.bias</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGruOptions" data-dfn-type="dict-member" data-export id="dom-mlgruoptions-activations"><code>activations</code></dfn>, <span> of type sequence&lt;<a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation②④">MLActivation</a>></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGruOptions" data-dfn-type="dict-member" data-export id="dom-mlgruoptions-activations"><code>activations</code></dfn>, <span> of type sequence&lt;<a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation②⑤">MLActivation</a>></span>
     <dd data-md>
-     <p>A sequence of <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation②⑤">MLActivation</a></code>. Specifies a pair of activation functions with the first function used for the update and reset gate, and the second used for the new gate. When not specified, implementations SHOULD use the the pair of sigmoid (<code>"sigmoid"</code>) and the hyperbolic tangent (<code>"tanh"</code>) functions, respectively.</p>
+     <p>A sequence of <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation②⑥">MLActivation</a></code>. Specifies a pair of activation functions with the first function used for the update and reset gate, and the second used for the new gate. When not specified, implementations SHOULD use the the pair of sigmoid (<code>"sigmoid"</code>) and the hyperbolic tangent (<code>"tanh"</code>) functions, respectively.</p>
    </dl>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑤④">MLOperand</a></code>. The input 3-D tensor of shape [steps, batchSize, inputSize].</p>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑨⑥">MLOperand</a></code>. The input 3-D tensor of shape [steps, batchSize, inputSize].</p>
      <li data-md>
-      <p><em>weight</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑤⑤">MLOperand</a></code>. The 3-D input weight tensor of shape [numDirections, 3 * hiddenSize, inputSize]. The ordering of the weight vectors in the second dimension of the tensor shape is specified according to the <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-layout" id="ref-for-dom-mlgruoptions-layout③">layout</a></code> argument.</p>
+      <p><em>weight</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑨⑦">MLOperand</a></code>. The 3-D input weight tensor of shape [numDirections, 3 * hiddenSize, inputSize]. The ordering of the weight vectors in the second dimension of the tensor shape is specified according to the <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-layout" id="ref-for-dom-mlgruoptions-layout③">layout</a></code> argument.</p>
      <li data-md>
-      <p><em>recurrentWeight</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑤⑥">MLOperand</a></code>. The 3-D recurrent weight tensor of shape [numDirections, 3 * hiddenSize, hiddenSize]. The ordering of the weight vectors in the second dimension of the tensor shape is specified according to the <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-layout" id="ref-for-dom-mlgruoptions-layout④">layout</a></code> argument.</p>
+      <p><em>recurrentWeight</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑨⑧">MLOperand</a></code>. The 3-D recurrent weight tensor of shape [numDirections, 3 * hiddenSize, hiddenSize]. The ordering of the weight vectors in the second dimension of the tensor shape is specified according to the <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-layout" id="ref-for-dom-mlgruoptions-layout④">layout</a></code> argument.</p>
      <li data-md>
-      <p><em>steps</em>: an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long②⑨">unsigned long</a></code> scalar. The number of time steps in the recurrent network. The value must be greater than 0.</p>
+      <p><em>steps</em>: an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③⑥">unsigned long</a></code> scalar. The number of time steps in the recurrent network. The value must be greater than 0.</p>
      <li data-md>
-      <p><em>hiddenSize</em>: an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③⓪">unsigned long</a></code> scalar. The value of the third dimension of the cell output tensor shape. It indicates the number of features in the hidden state.</p>
+      <p><em>hiddenSize</em>: an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③⑦">unsigned long</a></code> scalar. The value of the third dimension of the cell output tensor shape. It indicates the number of features in the hidden state.</p>
      <li data-md>
       <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlgruoptions" id="ref-for-dictdef-mlgruoptions②">MLGruOptions</a></code>. The optional parameters of the operation.</p>
     </ul>
-    <p><strong>Returns:</strong> a sequence of <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑤⑦">MLOperand</a></code>. The first element of the sequence is a 3-D tensor of shape [numDirections, batchSize, hiddenSize], the cell output from the last time step of the network. Additionally, if <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-returnsequence" id="ref-for-dom-mlgruoptions-returnsequence①">returnSequence</a></code> is set to true, the second element is the 4-D output tensor of shape [steps, numDirections, batchSize, hiddenSize] containing every cell outputs from each time step in the temporal sequence.</p>
+    <p><strong>Returns:</strong> a sequence of <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑨⑨">MLOperand</a></code>. The first element of the sequence is a 3-D tensor of shape [numDirections, batchSize, hiddenSize], the cell output from the last time step of the network. Additionally, if <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-returnsequence" id="ref-for-dom-mlgruoptions-returnsequence①">returnSequence</a></code> is set to true, the second element is the 4-D output tensor of shape [steps, numDirections, batchSize, hiddenSize] containing every cell outputs from each time step in the temporal sequence.</p>
    </div>
    <details class="algorithm" data-algorithm="gru(input, weight, recurrentWeight, steps, hiddenSize, options)" data-algorithm-for="MLGraphBuilder" open>
     <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export data-lt="gru(input, weight, recurrentWeight, steps, hiddenSize, options)|gru(input, weight, recurrentWeight, steps, hiddenSize)" id="dom-mlgraphbuilder-gru"><code>gru(<var>input</var>, <var>weight</var>, <var>recurrentWeight</var>, <var>steps</var>, <var>hiddenSize</var>, <var>options</var>)</code></dfn> method steps are: </summary>
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert③③">Assert</a>: the type of <var>input</var>, <var>weight</var> and <var>recurrentWeight</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑤⑧">MLOperand</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert③⑤">Assert</a>: the type of <var>input</var>, <var>weight</var> and <var>recurrentWeight</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⓪⓪">MLOperand</a></code>.</p>
       <li data-md>
-       <p>If the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank⑧">rank</a> of <var>input</var> or <var>weight</var> or <var>recurrentWeight</var> is not 3, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①③②">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror③⑤">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑥⑦">DOMException</a></code>.</p>
+       <p>If the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank①⑧">rank</a> of <var>input</var> or <var>weight</var> or <var>recurrentWeight</var> is not 3, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑥⑨">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror④②">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑦⑨">DOMException</a></code>.</p>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-bias" id="ref-for-dom-mlgruoptions-bias①">bias</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists②⑧">exists</a>.</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-bias" id="ref-for-dom-mlgruoptions-bias①">bias</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists②⑤">exists</a>.</p>
        <ol>
         <li data-md>
-         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert③④">Assert</a>: its type is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑤⑨">MLOperand</a></code>.</p>
+         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert③⑥">Assert</a>: its type is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⓪①">MLOperand</a></code>.</p>
         <li data-md>
-         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-bias" id="ref-for-dom-mlgruoptions-bias②">bias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot④⑦">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions④④">dimensions</a></code>[1] is not equal to 3 * <var>hiddenSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①③③">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror③⑥">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑥⑧">DOMException</a></code>.</p>
+         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-bias" id="ref-for-dom-mlgruoptions-bias②">bias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑤②">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions④⑦">dimensions</a></code>[1] is not equal to 3 * <var>hiddenSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑦⓪">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror④③">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑧⓪">DOMException</a></code>.</p>
        </ol>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-recurrentbias" id="ref-for-dom-mlgruoptions-recurrentbias①">recurrentBias</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists②⑨">exists</a>.</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-recurrentbias" id="ref-for-dom-mlgruoptions-recurrentbias①">recurrentBias</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists②⑥">exists</a>.</p>
        <ol>
         <li data-md>
-         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert③⑤">Assert</a>: its type is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑥⓪">MLOperand</a></code>.</p>
+         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert③⑦">Assert</a>: its type is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⓪②">MLOperand</a></code>.</p>
         <li data-md>
-         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-recurrentbias" id="ref-for-dom-mlgruoptions-recurrentbias②">recurrentBias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot④⑧">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions④⑤">dimensions</a></code>[1] is not equal to 3 * <var>hiddenSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①③④">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror③⑦">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑥⑨">DOMException</a></code>.</p>
+         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-recurrentbias" id="ref-for-dom-mlgruoptions-recurrentbias②">recurrentBias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑤③">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions④⑧">dimensions</a></code>[1] is not equal to 3 * <var>hiddenSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑦①">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror④④">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑧①">DOMException</a></code>.</p>
        </ol>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-initialhiddenstate" id="ref-for-dom-mlgruoptions-initialhiddenstate①">initialHiddenState</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists③⓪">exists</a>.</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-initialhiddenstate" id="ref-for-dom-mlgruoptions-initialhiddenstate①">initialHiddenState</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists②⑦">exists</a>.</p>
        <ol>
         <li data-md>
-         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert③⑥">Assert</a>: its type is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑥①">MLOperand</a></code>.</p>
+         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert③⑧">Assert</a>: its type is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⓪③">MLOperand</a></code>.</p>
         <li data-md>
-         <p>If its rank is not 3, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①③⑤">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror③⑧">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑦⓪">DOMException</a></code>.</p>
+         <p>If its rank is not 3, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑦②">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror④⑤">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑧②">DOMException</a></code>.</p>
        </ol>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-activations" id="ref-for-dom-mlgruoptions-activations①">activations</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists③①">exists</a> and its <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size②⑥">size</a> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①③⑥">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror③③">TypeError</a></code>.</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-activations" id="ref-for-dom-mlgruoptions-activations①">activations</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists②⑧">exists</a> and its <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size②⑤">size</a> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑦③">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror③②">TypeError</a></code>.</p>
       <li data-md>
-       <p>If <var>steps</var> is not equal to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot④⑨">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions④⑥">dimensions</a></code>[0], then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①③⑦">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror③④">TypeError</a></code>.</p>
+       <p>If <var>steps</var> is not equal to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑤④">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions④⑨">dimensions</a></code>[0], then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑦④">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror③③">TypeError</a></code>.</p>
       <li data-md>
-       <p>Let <var>output</var> be an empty sequence of <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑥②">MLOperand</a></code> objects.</p>
+       <p>Let <var>output</var> be an empty sequence of <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⓪④">MLOperand</a></code> objects.</p>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①③⑧">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror②③">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑦①">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑦⑤">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror②⑧">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑧③">DOMException</a></code>.</p>
        <ol>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined②⑦">implementation-defined</a> platform operator for <code>"gru"</code>, given <var>weight</var>, <var>recurrentWeight</var>, <var>steps</var>, <var>hiddenSize</var> and <var>options</var> as parameters.</p>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined③⑥">implementation-defined</a> platform operator for <code>"gru"</code>, given <var>weight</var>, <var>recurrentWeight</var>, <var>steps</var>, <var>hiddenSize</var> and <var>options</var> as parameters.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot②⑨">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot④⑤">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
         <li data-md>
          <p>Connect <var>output</var> as output to <var>opImpl</var>.</p>
        </ol>
@@ -4310,7 +4842,11 @@ <h4 class="heading settled" data-level="7.6.14" id="api-mlgraphbuilder-gru"><spa
    <div class="note" role="note">
     <details open>
      <summary> The behavior of this operation can be generically emulated from the usage of other operations as follows. However, user agents typically have a more efficient implementation for it, therefore its usage is encouraged from the performance standpoint. </summary>
-<pre class="highlight"><c- a>const</c-> numDirections <c- o>=</c-> <c- p>(</c->options<c- p>.</c->direction <c- o>==</c-> <c- u>"both"</c-> <c- o>?</c-> <c- mf>2</c-> <c- o>:</c-> <c- mf>1</c-><c- p>);</c->
+<pre class="highlight"><c- a>function</c-> squeeze<c- p>(</c->builder<c- p>,</c-> op<c- p>)</c-> <c- p>{</c->
+  <c- k>return</c-> builder<c- p>.</c->reshape<c- p>(</c->op<c- p>,</c-> op<c- p>.</c->shape<c- p>().</c->remove<c- p>(</c-><c- mf>0</c-><c- p>));</c->
+<c- p>}</c->
+
+<c- a>const</c-> numDirections <c- o>=</c-> <c- p>(</c->options<c- p>.</c->direction <c- o>==</c-> <c- u>"both"</c-> <c- o>?</c-> <c- mf>2</c-> <c- o>:</c-> <c- mf>1</c-><c- p>);</c->
 <c- a>let</c-> hiddenState <c- o>=</c-> options<c- p>.</c->initialHiddenState<c- p>;</c->
 
 <c- k>if</c-> <c- p>(</c-><c- o>!</c->hiddenState<c- p>)</c-> <c- p>{</c->
@@ -4326,11 +4862,11 @@ <h4 class="heading settled" data-level="7.6.14" id="api-mlgraphbuilder-gru"><spa
 <c- a>let</c-> currentRecurrentBias <c- o>=</c-> <c- p>[];</c->
 
 <c- k>for</c-> <c- p>(</c-><c- a>let</c-> dir <c- o>=</c-> <c- mf>0</c-><c- p>;</c-> dir <c- o>&lt;</c-> numDirections<c- p>;</c-> <c- o>++</c->dir<c- p>)</c-> <c- p>{</c->
-  currentWeight<c- p>.</c->push<c- p>(</c->builder<c- p>.</c->squeeze<c- p>(</c->builder<c- p>.</c->slice<c- p>(</c->weight<c- p>,</c-> <c- p>[</c->dir<c- p>,</c-> <c- mf>0</c-><c- p>,</c-> <c- mf>0</c-><c- p>],</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-> <c- mf>3</c-> <c- o>*</c-> hiddenSize<c- p>,</c-> inputSize<c- p>]),</c-> <c- p>{</c-> axes<c- o>:</c-> <c- p>[</c-><c- mf>0</c-><c- p>]</c-> <c- p>}));</c->
-  currentRecurrentWeight<c- p>.</c->push<c- p>(</c->builder<c- p>.</c->squeeze<c- p>(</c->builder<c- p>.</c->slice<c- p>(</c->recurrentWeight<c- p>,</c-> <c- p>[</c->dir<c- p>,</c-> <c- mf>0</c-><c- p>,</c-> <c- mf>0</c-><c- p>],</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-> <c- mf>3</c-> <c- o>*</c-> hiddenSize<c- p>,</c-> hiddenSize<c- p>]),</c-> <c- p>{</c-> axes<c- o>:</c-> <c- p>[</c-><c- mf>0</c-><c- p>]</c-> <c- p>}));</c->
-  currentBias<c- p>.</c->push<c- p>(</c->options<c- p>.</c->bias <c- o>?</c-> <c- p>(</c->builder<c- p>.</c->squeeze<c- p>(</c->builder<c- p>.</c->slice<c- p>(</c->options<c- p>.</c->bias<c- p>,</c-> <c- p>[</c->dir<c- p>,</c-> <c- mf>0</c-><c- p>],</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-> <c- mf>3</c-> <c- o>*</c-> hiddenSize<c- p>]),</c-> <c- p>{</c-> axes<c- o>:</c-> <c- p>[</c-><c- mf>0</c-><c- p>]</c-> <c- p>}))</c-> <c- o>:</c-> <c- kc>null</c-><c- p>);</c->
+  currentWeight<c- p>.</c->push<c- p>(</c->squeeze<c- p>(</c->builder<c- p>,</c-> builder<c- p>.</c->slice<c- p>(</c->weight<c- p>,</c-> <c- p>[</c->dir<c- p>,</c-> <c- mf>0</c-><c- p>,</c-> <c- mf>0</c-><c- p>],</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-> <c- mf>3</c-> <c- o>*</c-> hiddenSize<c- p>,</c-> inputSize<c- p>])));</c->
+  currentRecurrentWeight<c- p>.</c->push<c- p>(</c->squeeze<c- p>(</c->builder<c- p>,</c-> builder<c- p>.</c->slice<c- p>(</c->recurrentWeight<c- p>,</c-> <c- p>[</c->dir<c- p>,</c-> <c- mf>0</c-><c- p>,</c-> <c- mf>0</c-><c- p>],</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-> <c- mf>3</c-> <c- o>*</c-> hiddenSize<c- p>,</c-> hiddenSize<c- p>])));</c->
+  currentBias<c- p>.</c->push<c- p>(</c->options<c- p>.</c->bias <c- o>?</c-> <c- p>(</c->squeeze<c- p>(</c->builder<c- p>,</c-> builder<c- p>.</c->slice<c- p>(</c->options<c- p>.</c->bias<c- p>,</c-> <c- p>[</c->dir<c- p>,</c-> <c- mf>0</c-><c- p>],</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-> <c- mf>3</c-> <c- o>*</c-> hiddenSize<c- p>])))</c-> <c- o>:</c-> <c- kc>null</c-><c- p>);</c->
   currentRecurrentBias<c- p>.</c->push<c- p>(</c->options<c- p>.</c->recurrentBias <c- o>?</c->
-    <c- p>(</c->builder<c- p>.</c->squeeze<c- p>(</c->builder<c- p>.</c->slice<c- p>(</c->options<c- p>.</c->recurrentBias<c- p>,</c-> <c- p>[</c->dir<c- p>,</c-> <c- mf>0</c-><c- p>],</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-> <c- mf>3</c-> <c- o>*</c-> hiddenSize<c- p>]),</c-> <c- p>{</c-> axes<c- o>:</c-> <c- p>[</c-><c- mf>0</c-><c- p>]</c-> <c- p>}))</c-> <c- o>:</c-> <c- kc>null</c-><c- p>);</c->
+    <c- p>(</c->squeeze<c- p>(</c->builder<c- p>,</c-> builder<c- p>.</c->slice<c- p>(</c->options<c- p>.</c->recurrentBias<c- p>,</c-> <c- p>[</c->dir<c- p>,</c-> <c- mf>0</c-><c- p>],</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-> <c- mf>3</c-> <c- o>*</c-> hiddenSize<c- p>])))</c-> <c- o>:</c-> <c- kc>null</c-><c- p>);</c->
 <c- p>}</c->
 
 <c- k>for</c-> <c- p>(</c-><c- a>let</c-> step <c- o>=</c-> <c- mf>0</c-><c- p>;</c-> step <c- o>&lt;</c-> steps<c- p>;</c-> <c- o>++</c->step<c- p>)</c-> <c- p>{</c->
@@ -4338,12 +4874,12 @@ <h4 class="heading settled" data-level="7.6.14" id="api-mlgraphbuilder-gru"><spa
   <c- a>let</c-> currentOutput <c- o>=</c-> <c- kc>null</c-><c- p>;</c->
 
   <c- k>for</c-> <c- p>(</c-><c- a>let</c-> dir <c- o>=</c-> <c- mf>0</c-><c- p>;</c-> dir <c- o>&lt;</c-> numDirections<c- p>;</c-> <c- o>++</c->dir<c- p>)</c-> <c- p>{</c->
-    currentHidden<c- p>.</c->push<c- p>(</c->builder<c- p>.</c->squeeze<c- p>(</c->builder<c- p>.</c->slice<c- p>(</c->hiddenState<c- p>,</c-> <c- p>[</c->dir<c- p>,</c-> <c- mf>0</c-><c- p>,</c-> <c- mf>0</c-><c- p>],</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-> batchSize<c- p>,</c-> hiddenSize<c- p>]),</c-> <c- p>{</c-> axes<c- o>:</c-> <c- p>[</c-><c- mf>0</c-><c- p>]</c-> <c- p>}));</c->
+    currentHidden<c- p>.</c->push<c- p>(</c->squeeze<c- p>(</c->builder<c- p>,</c-> builder<c- p>.</c->slice<c- p>(</c->hiddenState<c- p>,</c-> <c- p>[</c->dir<c- p>,</c-> <c- mf>0</c-><c- p>,</c-> <c- mf>0</c-><c- p>],</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-> batchSize<c- p>,</c-> hiddenSize<c- p>])));</c->
   <c- p>}</c->
 
   <c- k>for</c-> <c- p>(</c-><c- a>let</c-> dir <c- o>=</c-> <c- mf>0</c-><c- p>;</c-> dir <c- o>&lt;</c-> numDirections<c- p>;</c-> <c- o>++</c->dir<c- p>)</c-> <c- p>{</c->
     <c- a>let</c-> slice <c- o>=</c-> <c- p>(</c->dir <c- o>==</c-> <c- mf>1</c-> <c- o>||</c-> options<c- p>.</c->direction <c- o>==</c-> <c- u>"backward"</c-> <c- o>?</c-> steps <c- o>-</c-> step <c- o>-</c-> <c- mf>1</c-> <c- o>:</c-> step<c- p>);</c->
-    <c- a>let</c-> currentInput <c- o>=</c-> builder<c- p>.</c->squeeze<c- p>(</c->builder<c- p>.</c->slice<c- p>(</c->input<c- p>,</c-> <c- p>[</c->slice<c- p>,</c-> <c- mf>0</c-><c- p>,</c-> <c- mf>0</c-><c- p>],</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-> batchSize<c- p>,</c-> inputSize<c- p>]),</c-> <c- p>{</c-> axes<c- o>:</c-> <c- p>[</c-><c- mf>0</c-><c- p>]</c-> <c- p>});</c->
+    <c- a>let</c-> currentInput <c- o>=</c-> squeeze<c- p>(</c->builder<c- p>,</c-> builder<c- p>.</c->slice<c- p>(</c->input<c- p>,</c-> <c- p>[</c->slice<c- p>,</c-> <c- mf>0</c-><c- p>,</c-> <c- mf>0</c-><c- p>],</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-> batchSize<c- p>,</c-> inputSize<c- p>]));</c->
 
     <c- a>let</c-> result <c- o>=</c-> builder<c- p>.</c->reshape<c- p>(</c->
       builder<c- p>.</c->gruCell<c- p>(</c->
@@ -4368,115 +4904,115 @@ <h4 class="heading settled" data-level="7.6.14" id="api-mlgraphbuilder-gru"><spa
 </pre>
     </details>
    </div>
-   <h4 class="heading settled" data-level="7.6.15" id="api-mlgraphbuilder-grucell"><span class="secno">7.6.15. </span><span class="content">The gruCell() method</span><a class="self-link" href="#api-mlgraphbuilder-grucell"></a></h4>
+   <h4 class="heading settled" data-level="7.7.19" id="api-mlgraphbuilder-grucell"><span class="secno">7.7.19. </span><span class="content">gruCell</span><a class="self-link" href="#api-mlgraphbuilder-grucell"></a></h4>
     A single time step of the Gated Recurrent Unit <a data-link-type="biblio" href="#biblio-gru" title="Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation">[GRU]</a> recurrent network using an update gate and a reset gate to compute the hidden state that rolls into the output across the temporal sequence of a recurrent network. 
 <pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlgrucelloptions"><code><c- g>MLGruCellOptions</c-></code></dfn> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑥③"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlgrucelloptions-bias" id="ref-for-dom-mlgrucelloptions-bias"><c- g>bias</c-></a>;
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑥④"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlgrucelloptions-recurrentbias" id="ref-for-dom-mlgrucelloptions-recurrentbias"><c- g>recurrentBias</c-></a>;
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean①②"><c- b>boolean</c-></a> <a class="idl-code" data-default="true" data-link-type="dict-member" data-type="boolean " href="#dom-mlgrucelloptions-resetafter" id="ref-for-dom-mlgrucelloptions-resetafter"><c- g>resetAfter</c-></a> = <c- b>true</c->;
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⓪⑤"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlgrucelloptions-bias" id="ref-for-dom-mlgrucelloptions-bias"><c- g>bias</c-></a>;
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⓪⑥"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlgrucelloptions-recurrentbias" id="ref-for-dom-mlgrucelloptions-recurrentbias"><c- g>recurrentBias</c-></a>;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean②⓪"><c- b>boolean</c-></a> <a class="idl-code" data-default="true" data-link-type="dict-member" data-type="boolean " href="#dom-mlgrucelloptions-resetafter" id="ref-for-dom-mlgrucelloptions-resetafter"><c- g>resetAfter</c-></a> = <c- b>true</c->;
   <a data-link-type="idl-name" href="#enumdef-mlgruweightlayout" id="ref-for-enumdef-mlgruweightlayout③"><c- n>MLGruWeightLayout</c-></a> <a class="idl-code" data-default="&quot;zrn&quot;" data-link-type="dict-member" data-type="MLGruWeightLayout " href="#dom-mlgrucelloptions-layout" id="ref-for-dom-mlgrucelloptions-layout"><c- g>layout</c-></a> = "zrn";
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①②"><c- b>sequence</c-></a>&lt;<a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation②⑥"><c- n>MLActivation</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<MLActivation> " href="#dom-mlgrucelloptions-activations" id="ref-for-dom-mlgrucelloptions-activations"><c- g>activations</c-></a>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①③"><c- b>sequence</c-></a>&lt;<a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation②⑦"><c- n>MLActivation</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<MLActivation> " href="#dom-mlgrucelloptions-activations" id="ref-for-dom-mlgrucelloptions-activations"><c- g>activations</c-></a>;
 };
 
-<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder③③"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑥⑤"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-grucell" id="ref-for-dom-mlgraphbuilder-grucell"><c- g>gruCell</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑥⑥"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize, options), MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-input"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑥⑦"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize, options), MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-weight"><code><c- g>weight</c-></code><a class="self-link" href="#dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-weight"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑥⑧"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize, options), MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-recurrentweight"><code><c- g>recurrentWeight</c-></code><a class="self-link" href="#dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-recurrentweight"></a></dfn>,
-                    <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑥⑨"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize, options), MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-hiddenstate"><code><c- g>hiddenState</c-></code><a class="self-link" href="#dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-hiddenstate"></a></dfn>, <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③①"><c- b>unsigned</c-> <c- b>long</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize, options), MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-hiddensize"><code><c- g>hiddenSize</c-></code><a class="self-link" href="#dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-hiddensize"></a></dfn>,
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder③⑤"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⓪⑦"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-grucell" id="ref-for-dom-mlgraphbuilder-grucell"><c- g>gruCell</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⓪⑧"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize, options), MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-input"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⓪⑨"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize, options), MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-weight"><code><c- g>weight</c-></code><a class="self-link" href="#dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-weight"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②①⓪"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize, options), MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-recurrentweight"><code><c- g>recurrentWeight</c-></code><a class="self-link" href="#dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-recurrentweight"></a></dfn>,
+                    <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②①①"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize, options), MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-hiddenstate"><code><c- g>hiddenState</c-></code><a class="self-link" href="#dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-hiddenstate"></a></dfn>, <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③⑧"><c- b>unsigned</c-> <c- b>long</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize, options), MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-hiddensize"><code><c- g>hiddenSize</c-></code><a class="self-link" href="#dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-hiddensize"></a></dfn>,
                     <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlgrucelloptions" id="ref-for-dictdef-mlgrucelloptions"><c- n>MLGruCellOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize, options), MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-options"></a></dfn> = {});
 };
 </pre>
    <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlgrucelloptions" id="ref-for-dictdef-mlgrucelloptions①">MLGruCellOptions</a></code> has the following members:</p>
    <dl>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGruCellOptions" data-dfn-type="dict-member" data-export id="dom-mlgrucelloptions-bias"><code>bias</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑦⓪">MLOperand</a></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGruCellOptions" data-dfn-type="dict-member" data-export id="dom-mlgrucelloptions-bias"><code>bias</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②①②">MLOperand</a></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑦①">MLOperand</a></code>. Specifies the 1-D input bias tensor of shape [3 * hiddenSize]. The ordering of the bias vectors in the second dimension of the tensor shape is specified according to the <code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-layout" id="ref-for-dom-mlgruoptions-layout⑤">layout</a></code> argument.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGruCellOptions" data-dfn-type="dict-member" data-export id="dom-mlgrucelloptions-recurrentbias"><code>recurrentBias</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑦②">MLOperand</a></span>
+     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②①③">MLOperand</a></code>. Specifies the 1-D input bias tensor of shape [3 * hiddenSize]. The ordering of the bias vectors in the second dimension of the tensor shape is specified according to the <code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-layout" id="ref-for-dom-mlgruoptions-layout⑤">layout</a></code> argument.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGruCellOptions" data-dfn-type="dict-member" data-export id="dom-mlgrucelloptions-recurrentbias"><code>recurrentBias</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②①④">MLOperand</a></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑦③">MLOperand</a></code>. Specifies the 1-D recurrent bias tensor of shape [3 * hiddenSize]. The ordering of the bias vectors in the second dimension of the tensor shape is specified according to the <code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-layout" id="ref-for-dom-mlgruoptions-layout⑥">layout</a></code> argument.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGruCellOptions" data-dfn-type="dict-member" data-export id="dom-mlgrucelloptions-resetafter"><code>resetAfter</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean①③">boolean</a>, defaulting to <code>true</code></span>
+     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②①⑤">MLOperand</a></code>. Specifies the 1-D recurrent bias tensor of shape [3 * hiddenSize]. The ordering of the bias vectors in the second dimension of the tensor shape is specified according to the <code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-layout" id="ref-for-dom-mlgruoptions-layout⑥">layout</a></code> argument.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGruCellOptions" data-dfn-type="dict-member" data-export id="dom-mlgrucelloptions-resetafter"><code>resetAfter</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean②①">boolean</a>, defaulting to <code>true</code></span>
     <dd data-md>
-     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean①④">boolean</a></code> indicating whether to apply the reset gate after or before matrix multiplication. The default value is true.</p>
+     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean②②">boolean</a></code> indicating whether to apply the reset gate after or before matrix multiplication. The default value is true.</p>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGruCellOptions" data-dfn-type="dict-member" data-export id="dom-mlgrucelloptions-layout"><code>layout</code></dfn>, <span> of type <a data-link-type="idl-name" href="#enumdef-mlgruweightlayout" id="ref-for-enumdef-mlgruweightlayout④">MLGruWeightLayout</a>, defaulting to <code>"zrn"</code></span>
     <dd data-md>
      <p>An <code class="idl"><a data-link-type="idl" href="#enumdef-mlgruweightlayout" id="ref-for-enumdef-mlgruweightlayout⑤">MLGruWeightLayout</a></code>. The ordering of the weight and bias vectors for the internal gates of GRU, specifically the <code>update (z)</code>, <code>reset (r)</code>, and <code>new (n)</code> gate, as indicated in the second dimension of the weight and bias tensor shape. When not specified, the default layout is <code>"zrn"</code>.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGruCellOptions" data-dfn-type="dict-member" data-export id="dom-mlgrucelloptions-activations"><code>activations</code></dfn>, <span> of type sequence&lt;<a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation②⑦">MLActivation</a>></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGruCellOptions" data-dfn-type="dict-member" data-export id="dom-mlgrucelloptions-activations"><code>activations</code></dfn>, <span> of type sequence&lt;<a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation②⑧">MLActivation</a>></span>
     <dd data-md>
-     <p>A sequence of <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation②⑧">MLActivation</a></code>. Specifies a pair of activation functions with the first function used for the update and reset gate, and the second used for the new gate. When not specified, implementations SHOULD use the the pair of sigmoid (<code>"sigmoid"</code>) and the hyperbolic tangent (<code>"tanh"</code>) functions, respectively.</p>
+     <p>A sequence of <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation②⑨">MLActivation</a></code>. Specifies a pair of activation functions with the first function used for the update and reset gate, and the second used for the new gate. When not specified, implementations SHOULD use the the pair of sigmoid (<code>"sigmoid"</code>) and the hyperbolic tangent (<code>"tanh"</code>) functions, respectively.</p>
    </dl>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑦④">MLOperand</a></code>. The input 2-D tensor of shape [batchSize, inputSize].</p>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②①⑥">MLOperand</a></code>. The input 2-D tensor of shape [batchSize, inputSize].</p>
      <li data-md>
-      <p><em>weight</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑦⑤">MLOperand</a></code>. The 2-D input weight tensor of shape [3 * hiddenSize, inputSize]. The ordering of the weight vectors in the first dimension of the tensor shape is specified according to the <em>options.layout</em> argument.</p>
+      <p><em>weight</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②①⑦">MLOperand</a></code>. The 2-D input weight tensor of shape [3 * hiddenSize, inputSize]. The ordering of the weight vectors in the first dimension of the tensor shape is specified according to the <em>options.layout</em> argument.</p>
      <li data-md>
-      <p><em>recurrentWeight</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑦⑥">MLOperand</a></code>. The 2-D recurrent weight tensor of shape [3 * hiddenSize, hiddenSize]. The ordering of the weight vectors in the first dimension of the tensor shape is specified according to the <em>options.layout</em> argument.</p>
+      <p><em>recurrentWeight</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②①⑧">MLOperand</a></code>. The 2-D recurrent weight tensor of shape [3 * hiddenSize, hiddenSize]. The ordering of the weight vectors in the first dimension of the tensor shape is specified according to the <em>options.layout</em> argument.</p>
      <li data-md>
-      <p><em>hiddenState</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑦⑦">MLOperand</a></code>. The 2-D input hidden state tensor of shape [batchSize, hiddenSize].</p>
+      <p><em>hiddenState</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②①⑨">MLOperand</a></code>. The 2-D input hidden state tensor of shape [batchSize, hiddenSize].</p>
      <li data-md>
-      <p><em>hiddenSize</em>: an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③②">unsigned long</a></code> scalar. The value of the second dimension of the output tensor shape. It indicates the number of features in the hidden state.</p>
+      <p><em>hiddenSize</em>: an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③⑨">unsigned long</a></code> scalar. The value of the second dimension of the output tensor shape. It indicates the number of features in the hidden state.</p>
      <li data-md>
       <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlgrucelloptions" id="ref-for-dictdef-mlgrucelloptions②">MLGruCellOptions</a></code>. The optional parameters of the operation.</p>
     </ul>
-    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑦⑧">MLOperand</a></code>. The 2-D tensor of shape [batchSize, hiddenSize], the cell output hidden state of a single time step of the recurrent network.</p>
+    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②②⓪">MLOperand</a></code>. The 2-D tensor of shape [batchSize, hiddenSize], the cell output hidden state of a single time step of the recurrent network.</p>
    </div>
    <details class="algorithm" data-algorithm="gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize, options)" data-algorithm-for="MLGraphBuilder" open>
     <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export data-lt="gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize, options)|gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize)" id="dom-mlgraphbuilder-grucell"><code>gruCell(<var>input</var>, <var>weight</var>, <var>recurrentWeight</var>, <var>hiddenState</var>, <var>hiddenSize</var>, <var>options</var>)</code></dfn> method steps are: </summary>
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert③⑦">Assert</a>: the type of <var>input</var>, <var>weight</var> and <var>recurrentWeight</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑦⑨">MLOperand</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert③⑨">Assert</a>: the type of <var>input</var>, <var>weight</var> and <var>recurrentWeight</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②②①">MLOperand</a></code>.</p>
       <li data-md>
-       <p>If the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank⑨">rank</a> of <var>input</var> or <var>weight</var> or <var>recurrentWeight</var> or <var>hiddenState</var> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①③⑨">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror③⑨">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑦②">DOMException</a></code>.</p>
+       <p>If the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank①⑨">rank</a> of <var>input</var> or <var>weight</var> or <var>recurrentWeight</var> or <var>hiddenState</var> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑦⑥">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror④⑥">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑧④">DOMException</a></code>.</p>
       <li data-md>
-       <p>If <var>weight</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑤⓪">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions④⑦">dimensions</a></code>[0] is not equal to 3 * <var>hiddenSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①④⓪">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror④⓪">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑦③">DOMException</a></code>.</p>
+       <p>If <var>weight</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑤⑤">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑤⓪">dimensions</a></code>[0] is not equal to 3 * <var>hiddenSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑦⑦">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror④⑦">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑧⑤">DOMException</a></code>.</p>
       <li data-md>
-       <p>If <var>recurrentWeight</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑤①">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions④⑧">dimensions</a></code>[0] is not equal to 3 * <var>hiddenSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①④①">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror④①">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑦④">DOMException</a></code>.</p>
+       <p>If <var>recurrentWeight</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑤⑥">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑤①">dimensions</a></code>[0] is not equal to 3 * <var>hiddenSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑦⑧">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror④⑧">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑧⑥">DOMException</a></code>.</p>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-bias" id="ref-for-dom-mlgruoptions-bias③">bias</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists③②">exists</a>:</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-bias" id="ref-for-dom-mlgruoptions-bias③">bias</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists②⑨">exists</a>:</p>
        <ol>
         <li data-md>
-         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert③⑧">Assert</a>: its type is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑧⓪">MLOperand</a></code>.</p>
+         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert④⓪">Assert</a>: its type is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②②②">MLOperand</a></code>.</p>
         <li data-md>
-         <p>If its rank is not equal to 3 * <var>hiddenSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①④②">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror④②">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑦⑤">DOMException</a></code>.</p>
+         <p>If its rank is not equal to 3 * <var>hiddenSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑦⑨">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror④⑨">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑧⑦">DOMException</a></code>.</p>
        </ol>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-recurrentbias" id="ref-for-dom-mlgruoptions-recurrentbias③">recurrentBias</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists③③">exists</a>:</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-recurrentbias" id="ref-for-dom-mlgruoptions-recurrentbias③">recurrentBias</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists③⓪">exists</a>:</p>
        <ol>
         <li data-md>
-         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert③⑨">Assert</a>: its type is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑧①">MLOperand</a></code>.</p>
+         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert④①">Assert</a>: its type is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②②③">MLOperand</a></code>.</p>
         <li data-md>
-         <p>If its rank is not equal to 3 * <var>hiddenSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①④③">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror④③">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑦⑥">DOMException</a></code>.</p>
+         <p>If its rank is not equal to 3 * <var>hiddenSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑧⓪">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑤⓪">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑧⑧">DOMException</a></code>.</p>
        </ol>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-activations" id="ref-for-dom-mlgruoptions-activations②">activations</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists③④">exists</a> and its <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size②⑦">size</a> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①④④">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror③⑤">TypeError</a></code>.</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-activations" id="ref-for-dom-mlgruoptions-activations②">activations</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists③①">exists</a> and its <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size②⑥">size</a> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑧①">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror③④">TypeError</a></code>.</p>
       <li data-md>
-       <p>Let <var>desc</var> a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①⑧">MLOperandDescriptor</a></code>.</p>
+       <p>Let <var>desc</var> a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①⑦">MLOperandDescriptor</a></code>.</p>
       <li data-md>
-       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions④⑨">dimensions</a></code> to [ <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑤⓪">dimensions</a></code>[0], <var>hiddenSize</var> ].</p>
+       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑤②">dimensions</a></code> to [ <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑤③">dimensions</a></code>[0], <var>hiddenSize</var> ].</p>
       <li data-md>
-       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②⑦">dataType</a></code> to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑤②">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②⑧">dataType</a></code>.</p>
+       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype③③">dataType</a></code> to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑤⑦">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype③④">dataType</a></code>.</p>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①④⑤">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror②④">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑦⑦">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑧②">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror②⑨">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑧⑨">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand⑨">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this①⑨">this</a> and <var>desc</var>.</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand①④">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this②③">this</a> and <var>desc</var>.</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined②⑧">implementation-defined</a> platform operator for <code>"gruCell"</code>, given <var>weight</var>, <var>recurrentWeight</var>, <var>hiddenState</var>, <var>hiddenSize</var> and <var>options</var> as parameters.</p>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined③⑦">implementation-defined</a> platform operator for <code>"gruCell"</code>, given <var>weight</var>, <var>recurrentWeight</var>, <var>hiddenState</var>, <var>hiddenSize</var> and <var>options</var> as parameters.</p>
           <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot⑨">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot①④">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined②⑨">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined③⑧">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot③⓪">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot④⑥">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot③①">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot④⑦">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
         <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot③②">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot④⑧">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
@@ -4580,16 +5116,16 @@ <h4 class="heading settled" data-level="7.6.15" id="api-mlgraphbuilder-grucell">
 </pre>
     </details>
    </div>
-   <h4 class="heading settled" data-level="7.6.16" id="api-mlgraphbuilder-hard-sigmoid"><span class="secno">7.6.16. </span><span class="content">The hardSigmoid() method</span><a class="self-link" href="#api-mlgraphbuilder-hard-sigmoid"></a></h4>
+   <h4 class="heading settled" data-level="7.7.20" id="api-mlgraphbuilder-hard-sigmoid"><span class="secno">7.7.20. </span><span class="content">hardSigmoid</span><a class="self-link" href="#api-mlgraphbuilder-hard-sigmoid"></a></h4>
     Calculate the non-smooth <a href="https://en.wikipedia.org/wiki/Hard_sigmoid">hard sigmoid function</a> on the input tensor, used instead of the sigmoid function for faster computation. 
 <pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlhardsigmoidoptions"><code><c- g>MLHardSigmoidOptions</c-></code></dfn> {
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①⑧"><c- b>float</c-></a> <a class="idl-code" data-default="0.2" data-link-type="dict-member" data-type="float " href="#dom-mlhardsigmoidoptions-alpha" id="ref-for-dom-mlhardsigmoidoptions-alpha"><c- g>alpha</c-></a> = 0.2;
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①⑨"><c- b>float</c-></a> <a class="idl-code" data-default="0.5" data-link-type="dict-member" data-type="float " href="#dom-mlhardsigmoidoptions-beta" id="ref-for-dom-mlhardsigmoidoptions-beta"><c- g>beta</c-></a> = 0.5;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②②"><c- b>float</c-></a> <a class="idl-code" data-default="0.2" data-link-type="dict-member" data-type="float " href="#dom-mlhardsigmoidoptions-alpha" id="ref-for-dom-mlhardsigmoidoptions-alpha"><c- g>alpha</c-></a> = 0.2;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②③"><c- b>float</c-></a> <a class="idl-code" data-default="0.5" data-link-type="dict-member" data-type="float " href="#dom-mlhardsigmoidoptions-beta" id="ref-for-dom-mlhardsigmoidoptions-beta"><c- g>beta</c-></a> = 0.5;
 };
 
-<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder③④"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑧②"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-hardsigmoid" id="ref-for-dom-mlgraphbuilder-hardsigmoid"><c- g>hardSigmoid</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑧③"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/hardSigmoid(input, options), MLGraphBuilder/hardSigmoid(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-hardsigmoid-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-hardsigmoid-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlhardsigmoidoptions" id="ref-for-dictdef-mlhardsigmoidoptions"><c- n>MLHardSigmoidOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/hardSigmoid(input, options), MLGraphBuilder/hardSigmoid(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-hardsigmoid-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-hardsigmoid-input-options-options"></a></dfn> = {});
-  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation②⑨"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-hardsigmoid-options" id="ref-for-dom-mlgraphbuilder-hardsigmoid-options"><c- g>hardSigmoid</c-></a>(<c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlhardsigmoidoptions" id="ref-for-dictdef-mlhardsigmoidoptions①"><c- n>MLHardSigmoidOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/hardSigmoid(options), MLGraphBuilder/hardSigmoid()" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-hardsigmoid-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-hardsigmoid-options-options"></a></dfn> = {});
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder③⑥"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②②④"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-hardsigmoid" id="ref-for-dom-mlgraphbuilder-hardsigmoid"><c- g>hardSigmoid</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②②⑤"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/hardSigmoid(input, options), MLGraphBuilder/hardSigmoid(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-hardsigmoid-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-hardsigmoid-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlhardsigmoidoptions" id="ref-for-dictdef-mlhardsigmoidoptions"><c- n>MLHardSigmoidOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/hardSigmoid(input, options), MLGraphBuilder/hardSigmoid(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-hardsigmoid-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-hardsigmoid-input-options-options"></a></dfn> = {});
+  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation③⓪"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-hardsigmoid-options" id="ref-for-dom-mlgraphbuilder-hardsigmoid-options"><c- g>hardSigmoid</c-></a>(<c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlhardsigmoidoptions" id="ref-for-dictdef-mlhardsigmoidoptions①"><c- n>MLHardSigmoidOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/hardSigmoid(options), MLGraphBuilder/hardSigmoid()" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-hardsigmoid-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-hardsigmoid-options-options"></a></dfn> = {});
 };
 </pre>
    <div class="note" role="note">
@@ -4610,28 +5146,28 @@ <h4 class="heading settled" data-level="7.6.16" id="api-mlgraphbuilder-hard-sigm
    </div>
    <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlhardsigmoidoptions" id="ref-for-dictdef-mlhardsigmoidoptions②">MLHardSigmoidOptions</a></code> has the following members:</p>
    <dl>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLHardSigmoidOptions" data-dfn-type="dict-member" data-export id="dom-mlhardsigmoidoptions-alpha"><code>alpha</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②⓪">float</a>, defaulting to <code>0.2</code></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLHardSigmoidOptions" data-dfn-type="dict-member" data-export id="dom-mlhardsigmoidoptions-alpha"><code>alpha</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②④">float</a>, defaulting to <code>0.2</code></span>
     <dd data-md>
-     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②①">float</a></code> scalar multiplier.
+     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②⑤">float</a></code> scalar multiplier.
  The default value is 0.2.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLHardSigmoidOptions" data-dfn-type="dict-member" data-export id="dom-mlhardsigmoidoptions-beta"><code>beta</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②②">float</a>, defaulting to <code>0.5</code></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLHardSigmoidOptions" data-dfn-type="dict-member" data-export id="dom-mlhardsigmoidoptions-beta"><code>beta</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②⑥">float</a>, defaulting to <code>0.5</code></span>
     <dd data-md>
-     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②③">float</a></code> scalar addition.
+     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②⑦">float</a></code> scalar addition.
  The default value is 0.5.</p>
    </dl>
-   <h5 class="heading settled" data-level="7.6.16.1" id="api-mlgraphbuilder-hardsigmoid-input-options"><span class="secno">7.6.16.1. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-hardsigmoid" id="ref-for-dom-mlgraphbuilder-hardsigmoid①">hardSigmoid(input, options)</a></code> method</span><a class="self-link" href="#api-mlgraphbuilder-hardsigmoid-input-options"></a></h5>
+   <h5 class="heading settled" data-level="7.7.20.1" id="api-mlgraphbuilder-hardsigmoid-input-options"><span class="secno">7.7.20.1. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-hardsigmoid" id="ref-for-dom-mlgraphbuilder-hardsigmoid①">hardSigmoid(input, options)</a></code></span><a class="self-link" href="#api-mlgraphbuilder-hardsigmoid-input-options"></a></h5>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑧④">MLOperand</a></code>. The input tensor.</p>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②②⑥">MLOperand</a></code>. The input tensor.</p>
      <li data-md>
       <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlhardsigmoidoptions" id="ref-for-dictdef-mlhardsigmoidoptions③">MLHardSigmoidOptions</a></code>. The optional parameters of the operation.</p>
     </ul>
     <p><strong>Returns:</strong></p>
     <ul>
      <li data-md>
-      <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑧⑤">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
+      <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②②⑦">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
     </ul>
    </div>
    <details class="algorithm" data-algorithm="hardSigmoid(input, options)" data-algorithm-for="MLGraphBuilder" open>
@@ -4639,35 +5175,35 @@ <h5 class="heading settled" data-level="7.6.16.1" id="api-mlgraphbuilder-hardsig
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert④⓪">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑧⑥">MLOperand</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert④②">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②②⑧">MLOperand</a></code>.</p>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①④⑥">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror②⑤">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑦⑧">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑧③">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror③⓪">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑨⓪">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand③">copying an MLOperand</a> given <var>input</var>.</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand④">copying an MLOperand</a> given <var>input</var>.</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined③⓪">implementation-defined</a> platform operator for the hard sigmoid operation, given <var>options</var>.</p>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined③⑨">implementation-defined</a> platform operator for the hard sigmoid operation, given <var>options</var>.</p>
           <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot①⓪">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot①⑤">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined③①">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined④⓪">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot③③">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot④⑨">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot③④">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑤⓪">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
         <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot③⑤">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑤①">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
      </ol>
     </div>
    </details>
-   <h5 class="heading settled" data-level="7.6.16.2" id="api-mlgraphbuilder-hardsigmoid-options"><span class="secno">7.6.16.2. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-hardsigmoid-options" id="ref-for-dom-mlgraphbuilder-hardsigmoid-options①">hardSigmoid(options)</a></code> method</span><a class="self-link" href="#api-mlgraphbuilder-hardsigmoid-options"></a></h5>
+   <h5 class="heading settled" data-level="7.7.20.2" id="api-mlgraphbuilder-hardsigmoid-options"><span class="secno">7.7.20.2. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-hardsigmoid-options" id="ref-for-dom-mlgraphbuilder-hardsigmoid-options①">hardSigmoid(options)</a></code></span><a class="self-link" href="#api-mlgraphbuilder-hardsigmoid-options"></a></h5>
    <div>
      <strong>Arguments:</strong> 
     <ul>
@@ -4677,7 +5213,7 @@ <h5 class="heading settled" data-level="7.6.16.2" id="api-mlgraphbuilder-hardsig
     <p><strong>Returns:</strong></p>
     <ul>
      <li data-md>
-      <p>an <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation③⓪">MLActivation</a></code>. The activation function representing the hard sigmoid operation.</p>
+      <p>an <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation③①">MLActivation</a></code>. The activation function representing the hard sigmoid operation.</p>
     </ul>
    </div>
    <details class="algorithm" data-algorithm="hardSigmoid(options)" data-algorithm-for="MLGraphBuilder" open>
@@ -4685,21 +5221,21 @@ <h5 class="heading settled" data-level="7.6.16.2" id="api-mlgraphbuilder-hardsig
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p>Let <var>op</var> be the result of <a data-link-type="dfn" href="#create-an-mlactivation" id="ref-for-create-an-mlactivation②">creating an MLActivation</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this②⓪">this</a>, <code>"hardSigmoid"</code> and <var>options</var>.</p>
+       <p>Let <var>op</var> be the result of <a data-link-type="dfn" href="#create-an-mlactivation" id="ref-for-create-an-mlactivation②">creating an MLActivation</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this②④">this</a>, <code>"hardSigmoid"</code> and <var>options</var>.</p>
        <ol>
         <li data-md>
-         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①④⑦">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①④⑧">throw</a> the error.</p>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑧④">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑧⑤">throw</a> the error.</p>
        </ol>
       <li data-md>
        <p>Return <var>op</var>.</p>
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.6.17" id="api-mlgraphbuilder-hard-swish"><span class="secno">7.6.17. </span><span class="content">The hardSwish() method</span><a class="self-link" href="#api-mlgraphbuilder-hard-swish"></a></h4>
+   <h4 class="heading settled" data-level="7.7.21" id="api-mlgraphbuilder-hard-swish"><span class="secno">7.7.21. </span><span class="content">hardSwish</span><a class="self-link" href="#api-mlgraphbuilder-hard-swish"></a></h4>
     Computes the nonlinear function <code>y = x * max(0, min(6, (x + 3))) / 6</code> that is introduced by <a data-link-type="biblio" href="#biblio-mobilenetv3" title="Searching for MobileNetV3">[MobileNetV3]</a> on the input tensor element-wise. 
-<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder③⑤"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑧⑦"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-hardswish" id="ref-for-dom-mlgraphbuilder-hardswish"><c- g>hardSwish</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑧⑧"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/hardSwish(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-hardswish-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-hardswish-input-input"></a></dfn>);
-  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation③①"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="method" href="#hardswish-noargs" id="ref-for-hardswish-noargs"><c- g>hardSwish</c-></a>();
+<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder③⑦"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②②⑨"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-hardswish" id="ref-for-dom-mlgraphbuilder-hardswish"><c- g>hardSwish</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②③⓪"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/hardSwish(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-hardswish-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-hardswish-input-input"></a></dfn>);
+  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation③②"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="method" href="#hardswish-noargs" id="ref-for-hardswish-noargs"><c- g>hardSwish</c-></a>();
 };
 </pre>
    <div class="note" role="note">
@@ -4720,17 +5256,17 @@ <h4 class="heading settled" data-level="7.6.17" id="api-mlgraphbuilder-hard-swis
 </pre>
     </details>
    </div>
-   <h5 class="heading settled" data-level="7.6.17.1" id="api-mlgraphbuilder-hardswish-input"><span class="secno">7.6.17.1. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-hardswish" id="ref-for-dom-mlgraphbuilder-hardswish①">hardSwish(input)</a></code> method</span><a class="self-link" href="#api-mlgraphbuilder-hardswish-input"></a></h5>
+   <h5 class="heading settled" data-level="7.7.21.1" id="api-mlgraphbuilder-hardswish-input"><span class="secno">7.7.21.1. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-hardswish" id="ref-for-dom-mlgraphbuilder-hardswish①">hardSwish(input)</a></code></span><a class="self-link" href="#api-mlgraphbuilder-hardswish-input"></a></h5>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑧⑨">MLOperand</a></code>. The input tensor.</p>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②③①">MLOperand</a></code>. The input tensor.</p>
     </ul>
     <p><strong>Returns:</strong></p>
     <ul>
      <li data-md>
-      <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑨⓪">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
+      <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②③②">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
     </ul>
    </div>
    <details class="algorithm" data-algorithm="hardSwish(input)" data-algorithm-for="MLGraphBuilder" open>
@@ -4738,33 +5274,33 @@ <h5 class="heading settled" data-level="7.6.17.1" id="api-mlgraphbuilder-hardswi
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①④⑨">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror②⑥">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑦⑨">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑧⑥">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror③①">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑨①">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand④">copying an MLOperand</a> given <var>input</var>.</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand⑤">copying an MLOperand</a> given <var>input</var>.</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined③②">implementation-defined</a> platform operator for the hard-swish operation.</p>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined④①">implementation-defined</a> platform operator for the hard-swish operation.</p>
           <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot①①">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot①⑥">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined③③">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined④②">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot③⑥">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑤②">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot③⑦">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑤③">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
         <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot③⑧">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑤④">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
      </ol>
     </div>
    </details>
-   <h5 class="heading settled" data-level="7.6.17.2" id="api-mlgraphbuilder-hardswish"><span class="secno">7.6.17.2. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#hardswish-noargs" id="ref-for-hardswish-noargs①">hardSwish()</a></code> method</span><a class="self-link" href="#api-mlgraphbuilder-hardswish"></a></h5>
+   <h5 class="heading settled" data-level="7.7.21.2" id="api-mlgraphbuilder-hardswish"><span class="secno">7.7.21.2. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#hardswish-noargs" id="ref-for-hardswish-noargs①">hardSwish()</a></code></span><a class="self-link" href="#api-mlgraphbuilder-hardswish"></a></h5>
    <div>
      <strong>Arguments:</strong> 
     <ul>
@@ -4774,7 +5310,7 @@ <h5 class="heading settled" data-level="7.6.17.2" id="api-mlgraphbuilder-hardswi
     <p><strong>Returns:</strong></p>
     <ul>
      <li data-md>
-      <p>an <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation③②">MLActivation</a></code>. The activation function representing the hard-swish operation.</p>
+      <p>an <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation③③">MLActivation</a></code>. The activation function representing the hard-swish operation.</p>
     </ul>
    </div>
    <details class="algorithm" data-algorithm="hardSwish()" data-algorithm-for="MLGraphBuilder" open>
@@ -4782,41 +5318,95 @@ <h5 class="heading settled" data-level="7.6.17.2" id="api-mlgraphbuilder-hardswi
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p>Let <var>op</var> be the result of <a data-link-type="dfn" href="#create-an-mlactivation" id="ref-for-create-an-mlactivation③">creating an MLActivation</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this②①">this</a> and <code>"hardSwish"</code>.</p>
+       <p>Let <var>op</var> be the result of <a data-link-type="dfn" href="#create-an-mlactivation" id="ref-for-create-an-mlactivation③">creating an MLActivation</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this②⑤">this</a> and <code>"hardSwish"</code>.</p>
        <ol>
         <li data-md>
-         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑤⓪">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑤①">throw</a> the error.</p>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑧⑦">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑧⑧">throw</a> the error.</p>
        </ol>
       <li data-md>
        <p>Return <var>op</var>.</p>
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.6.18" id="api-mlgraphbuilder-instancenorm"><span class="secno">7.6.18. </span><span class="content">The instanceNormalization() method</span><a class="self-link" href="#api-mlgraphbuilder-instancenorm"></a></h4>
-    Normalize the input features using <a data-link-type="biblio" href="#biblio-instance-normalization" title="Instance Normalization: The Missing Ingredient for Fast Stylization">[Instance-Normalization]</a>. Unlike <a href="#api-mlgraphbuilder-batchnorm">§ 7.6.5 The batchNormalization() method</a> where the mean and variance values used in the calculation are previously computed across the batch dimension during the model training phase, the mean and variance values used in the calculation of an instance normalization are computed internally on the fly per input feature. 
+   <h4 class="heading settled" data-level="7.7.22" id="api-mlgraphbuilder-input"><span class="secno">7.7.22. </span><span class="content">input</span><a class="self-link" href="#api-mlgraphbuilder-input"></a></h4>
+    Create a named <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②③③">MLOperand</a></code> based on a descriptor, that can be used as an input. 
+   <div>
+     <strong>Arguments:</strong> 
+    <ul>
+     <li data-md>
+      <p><em>name</em>: a <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string⑧">string</a> name of the input.</p>
+     <li data-md>
+      <p><em>descriptor</em>: an <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①⑧">MLOperandDescriptor</a></code> object.</p>
+    </ul>
+     <strong>Returns:</strong>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②③④">MLOperand</a></code> object. 
+   </div>
+   <details class="algorithm" data-algorithm="input(name, descriptor)" data-algorithm-for="MLGraphBuilder" open>
+    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-input"><code>input(<var>name</var>, <var>descriptor</var>)</code></dfn> method steps are: </summary>
+    <div class="algorithm-steps">
+     <div class="note" role="note"> The permissions and context validity have been checked by <a href="#api-mlgraphbuilder-constructor">§ 7.7.1 MLGraphBuilder constructor</a> steps. </div>
+     <ol>
+      <li data-md>
+       <p>If <var>name</var> is empty, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑧⑨">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror③⑤">TypeError</a></code>.</p>
+      <li data-md>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert④③">Assert</a>: the type of <var>descriptor</var> is <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①⑨">MLOperandDescriptor</a></code>.</p>
+      <li data-md>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert④④">Assert</a>: If <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑤④">dimensions</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists③②">exist</a>, then <var>descriptor</var> defines a scalar input.</p>
+      <li data-md>
+       <p>If <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑤⑤">dimensions</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists③③">exists</a>:</p>
+       <ol>
+        <li data-md>
+         <p>If the <a data-link-type="dfn" href="#check-dimensions" id="ref-for-check-dimensions①">check dimensions</a> steps given <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype③⑤">dataType</a></code> and <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑤⑥">dimensions</a></code> return false, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑨⓪">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑤①">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑨②">DOMException</a></code>.</p>
+        <li data-md>
+         <p>If the <a data-link-type="dfn" href="#mloperanddescriptor-byte-length" id="ref-for-mloperanddescriptor-byte-length⑤">byte length</a> of <var>descriptor</var> is not supported by the underlying platform, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑨①">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑤②">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑨③">DOMException</a></code>.</p>
+       </ol>
+      <li data-md>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑨②">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror③②">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑨④">DOMException</a></code>.</p>
+       <ol>
+        <li data-md>
+         <p>Let <var>operand</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand①⑤">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this②⑥">this</a> and <var>descriptor</var>.</p>
+        <li data-md>
+         <p>Set <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-name-slot" id="ref-for-dom-mloperand-name-slot②">[[name]]</a></code> to <var>name</var>.</p>
+        <li data-md>
+         <p>Make a request to the underlying platform to:</p>
+         <ol>
+          <li data-md>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined④③">implementation-defined</a> platform input operand <var>operandImpl</var> given <var>descriptor</var>.</p>
+          <li data-md>
+           <p>Store a reference of <var>operandImpl</var> in <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑤⑤">[[operand]]</a></code>.</p>
+          <li data-md>
+           <p>Register <var>operand</var> as an input.</p>
+         </ol>
+       </ol>
+      <li data-md>
+       <p>Return <var>operand</var>.</p>
+     </ol>
+    </div>
+   </details>
+   <h4 class="heading settled" data-level="7.7.23" id="api-mlgraphbuilder-instancenorm"><span class="secno">7.7.23. </span><span class="content">instanceNormalization</span><a class="self-link" href="#api-mlgraphbuilder-instancenorm"></a></h4>
+    Normalize the input using <a data-link-type="biblio" href="#biblio-instance-normalization" title="Instance Normalization: The Missing Ingredient for Fast Stylization">[Instance-Normalization]</a>. Unlike <a href="#api-mlgraphbuilder-batchnorm">§ 7.7.3 batchNormalization</a> where the mean and variance values used in the normalization are computed across all the samples in the batch dimension while the model is trained, the mean and variance values used in the instance normalization are computed on the fly for each input feature of each individual sample in the batch. 
 <pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlinstancenormalizationoptions"><code><c- g>MLInstanceNormalizationOptions</c-></code></dfn> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑨①"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlinstancenormalizationoptions-scale" id="ref-for-dom-mlinstancenormalizationoptions-scale"><c- g>scale</c-></a>;
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑨②"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlinstancenormalizationoptions-bias" id="ref-for-dom-mlinstancenormalizationoptions-bias"><c- g>bias</c-></a>;
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②④"><c- b>float</c-></a> <a class="idl-code" data-default="1e-5" data-link-type="dict-member" data-type="float " href="#dom-mlinstancenormalizationoptions-epsilon" id="ref-for-dom-mlinstancenormalizationoptions-epsilon"><c- g>epsilon</c-></a> = 1e-5;
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②③⑤"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlinstancenormalizationoptions-scale" id="ref-for-dom-mlinstancenormalizationoptions-scale"><c- g>scale</c-></a>;
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②③⑥"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlinstancenormalizationoptions-bias" id="ref-for-dom-mlinstancenormalizationoptions-bias"><c- g>bias</c-></a>;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②⑧"><c- b>float</c-></a> <a class="idl-code" data-default="1e-5" data-link-type="dict-member" data-type="float " href="#dom-mlinstancenormalizationoptions-epsilon" id="ref-for-dom-mlinstancenormalizationoptions-epsilon"><c- g>epsilon</c-></a> = 1e-5;
   <a data-link-type="idl-name" href="#enumdef-mlinputoperandlayout" id="ref-for-enumdef-mlinputoperandlayout⑥"><c- n>MLInputOperandLayout</c-></a> <a class="idl-code" data-default="&quot;nchw&quot;" data-link-type="dict-member" data-type="MLInputOperandLayout " href="#dom-mlinstancenormalizationoptions-layout" id="ref-for-dom-mlinstancenormalizationoptions-layout"><c- g>layout</c-></a> = "nchw";
 };
 
-<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder③⑥"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑨③"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-instancenormalization" id="ref-for-dom-mlgraphbuilder-instancenormalization"><c- g>instanceNormalization</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑨④"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/instanceNormalization(input, options), MLGraphBuilder/instanceNormalization(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-instancenormalization-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-instancenormalization-input-options-input"></a></dfn>,
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder③⑧"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②③⑦"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-instancenormalization" id="ref-for-dom-mlgraphbuilder-instancenormalization"><c- g>instanceNormalization</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②③⑧"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/instanceNormalization(input, options), MLGraphBuilder/instanceNormalization(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-instancenormalization-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-instancenormalization-input-options-input"></a></dfn>,
                                 <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlinstancenormalizationoptions" id="ref-for-dictdef-mlinstancenormalizationoptions"><c- n>MLInstanceNormalizationOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/instanceNormalization(input, options), MLGraphBuilder/instanceNormalization(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-instancenormalization-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-instancenormalization-input-options-options"></a></dfn> = {});
 };
 </pre>
    <p>The <code class="idl"><a data-link-type="idl" href="#dictdef-mlinstancenormalizationoptions" id="ref-for-dictdef-mlinstancenormalizationoptions①">MLInstanceNormalizationOptions</a></code> members are:</p>
    <dl>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLInstanceNormalizationOptions" data-dfn-type="dict-member" data-export id="dom-mlinstancenormalizationoptions-scale"><code>scale</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑨⑤">MLOperand</a></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLInstanceNormalizationOptions" data-dfn-type="dict-member" data-export id="dom-mlinstancenormalizationoptions-scale"><code>scale</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②③⑨">MLOperand</a></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑨⑥">MLOperand</a></code>. Specifies the 1-D tensor of the scaling values whose <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size②⑧">size</a> is equal to the number of channels, i.e. the size of the feature dimension of the input. For example, for an <var>input</var> tensor with <code>nchw</code> layout, the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size②⑨">size</a> is the value of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑤③">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑤①">dimensions</a></code>[1].</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLInstanceNormalizationOptions" data-dfn-type="dict-member" data-export id="dom-mlinstancenormalizationoptions-bias"><code>bias</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑨⑦">MLOperand</a></span>
+     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②④⓪">MLOperand</a></code>. Specifies the 1-D tensor of the scaling values whose <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size②⑦">size</a> is equal to the number of channels, i.e. the size of the feature dimension of the input. For example, for an <var>input</var> tensor with <code>nchw</code> layout, the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size②⑧">size</a> is the value of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑤⑧">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑤⑦">dimensions</a></code>[1].</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLInstanceNormalizationOptions" data-dfn-type="dict-member" data-export id="dom-mlinstancenormalizationoptions-bias"><code>bias</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②④①">MLOperand</a></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑨⑧">MLOperand</a></code>. Specifies the 1-D tensor of the bias values whose <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size③⓪">size</a> is equal to the size of the feature dimension of the input. For example, for an <var>input</var> tensor with <code>nchw</code> layout, the len<a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size③①">size</a>gth is the value of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑤④">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑤②">dimensions</a></code>[1].</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLInstanceNormalizationOptions" data-dfn-type="dict-member" data-export id="dom-mlinstancenormalizationoptions-epsilon"><code>epsilon</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②⑤">float</a>, defaulting to <code>1e-5</code></span>
+     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②④②">MLOperand</a></code>. Specifies the 1-D tensor of the bias values whose <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size②⑨">size</a> is equal to the size of the feature dimension of the input. For example, for an <var>input</var> tensor with <code>nchw</code> layout, the len<a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size③⓪">size</a>gth is the value of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑤⑨">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑤⑧">dimensions</a></code>[1].</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLInstanceNormalizationOptions" data-dfn-type="dict-member" data-export id="dom-mlinstancenormalizationoptions-epsilon"><code>epsilon</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②⑨">float</a>, defaulting to <code>1e-5</code></span>
     <dd data-md>
-     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②⑥">float</a></code> scalar. Specifies a small value to prevent computational error due to divide-by-zero.</p>
+     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③⓪">float</a></code> scalar. Specifies a small value to prevent computational error due to divide-by-zero.</p>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLInstanceNormalizationOptions" data-dfn-type="dict-member" data-export id="dom-mlinstancenormalizationoptions-layout"><code>layout</code></dfn>, <span> of type <a data-link-type="idl-name" href="#enumdef-mlinputoperandlayout" id="ref-for-enumdef-mlinputoperandlayout⑦">MLInputOperandLayout</a>, defaulting to <code>"nchw"</code></span>
     <dd data-md>
      <p>An <code class="idl"><a data-link-type="idl" href="#enumdef-mlinputoperandlayout" id="ref-for-enumdef-mlinputoperandlayout⑧">MLInputOperandLayout</a></code>. Specifies the layout format of the input.</p>
@@ -4825,49 +5415,49 @@ <h4 class="heading settled" data-level="7.6.18" id="api-mlgraphbuilder-instancen
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑨⑨">MLOperand</a></code>. The input 4-D tensor.</p>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②④③">MLOperand</a></code>. The input 4-D tensor.</p>
      <li data-md>
       <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlinstancenormalizationoptions" id="ref-for-dictdef-mlinstancenormalizationoptions②">MLInstanceNormalizationOptions</a></code>. The optional parameters of the operation.</p>
     </ul>
-    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⓪⓪">MLOperand</a></code>. The instance-normalized 4-D tensor of the same shape as <em>input</em>.</p>
+    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②④④">MLOperand</a></code>. The instance-normalized 4-D tensor of the same shape as <em>input</em>.</p>
    </div>
    <details class="algorithm" data-algorithm="instanceNormalization(input, options)" data-algorithm-for="MLGraphBuilder" open>
     <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export data-lt="instanceNormalization(input, options)|instanceNormalization(input)" id="dom-mlgraphbuilder-instancenormalization"><code>instanceNormalization(<var>input</var>, <var>options</var>)</code></dfn> method steps are: </summary>
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert④①">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⓪①">MLOperand</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert④⑤">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②④⑤">MLOperand</a></code>.</p>
       <li data-md>
-       <p>If the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank①⓪">rank</a> of <var>input</var> is not 4, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑤②">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror④④">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑧⓪">DOMException</a></code>.</p>
+       <p>If the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank②⓪">rank</a> of <var>input</var> is not 4, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑨③">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑤③">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑨⑤">DOMException</a></code>.</p>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert④②">Assert</a>:  the type of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlinstancenormalizationoptions-scale" id="ref-for-dom-mlinstancenormalizationoptions-scale①">scale</a></code> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⓪②">MLOperand</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert④⑥">Assert</a>:  the type of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlinstancenormalizationoptions-scale" id="ref-for-dom-mlinstancenormalizationoptions-scale①">scale</a></code> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②④⑥">MLOperand</a></code>.</p>
       <li data-md>
-       <p>If the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank①①">rank</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlinstancenormalizationoptions-scale" id="ref-for-dom-mlinstancenormalizationoptions-scale②">scale</a></code> is not equal to the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size③②">size</a> of the channel dimension of <var>input</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑤③">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror④⑤">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑧①">DOMException</a></code>.</p>
+       <p>If the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank②①">rank</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlinstancenormalizationoptions-scale" id="ref-for-dom-mlinstancenormalizationoptions-scale②">scale</a></code> is not equal to 1, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑨④">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑤④">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑨⑥">DOMException</a></code>.</p>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert④③">Assert</a>: the type of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlinstancenormalizationoptions-bias" id="ref-for-dom-mlinstancenormalizationoptions-bias①">bias</a></code> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⓪③">MLOperand</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert④⑦">Assert</a>: the type of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlinstancenormalizationoptions-bias" id="ref-for-dom-mlinstancenormalizationoptions-bias①">bias</a></code> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②④⑦">MLOperand</a></code>.</p>
       <li data-md>
-       <p>If the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank①②">rank</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlinstancenormalizationoptions-bias" id="ref-for-dom-mlinstancenormalizationoptions-bias②">bias</a></code> is not equal to the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size③③">size</a> of the channel dimension of <var>input</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑤④">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror④⑥">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑧②">DOMException</a></code>.</p>
+       <p>If the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank②②">rank</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlinstancenormalizationoptions-bias" id="ref-for-dom-mlinstancenormalizationoptions-bias②">bias</a></code> is not equal to 1, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑨⑤">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑤⑤">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑨⑦">DOMException</a></code>.</p>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑤⑤">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror②⑦">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑧③">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑨⑥">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror③③">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑨⑧">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand⑤">copying an MLOperand</a> given <var>input</var>.</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand⑥">copying an MLOperand</a> given <var>input</var>.</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined③④">implementation-defined</a> platform operator for the instance normalization operation, given <var>options</var>.</p>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined④④">implementation-defined</a> platform operator for the instance normalization operation, given <var>options</var>.</p>
           <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot①②">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot①⑦">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined③⑤">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined④⑤">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot③⑨">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑤⑥">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot④⓪">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑤⑦">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
         <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot④①">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑤⑧">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
@@ -4879,7 +5469,7 @@ <h4 class="heading settled" data-level="7.6.18" id="api-mlgraphbuilder-instancen
      <summary> The behavior of this operation when the input tensor is 4-D of the <em>"nchw"</em> layout can be generically emulated from
     the usage of other operations as follow. However, user agents typically have a more efficient implementation for it,
     therefore its usage is encouraged from the performance standpoint. </summary>
-<pre class="highlight"><c- c1>// The mean reductions happen over the spatial dimensions of the input</c->
+<pre class="highlight"><c- c1>// The reduction of the mean and variance values happens over the spatial dimensions of the input</c->
 <c- c1>// e.g. axis 2 and 3 of the input tensor.</c->
 <c- a>const</c-> reduceOptions <c- o>=</c-> <c- p>{</c-> axes<c- o>:</c-> <c- p>[</c-><c- mf>2</c-><c- p>,</c-><c- mf>3</c-><c- p>],</c-> keepDimensions<c- o>:</c-> <c- kc>true</c-> <c- p>};</c->
 <c- a>const</c-> mean <c- o>=</c-> builder<c- p>.</c->reduceMean<c- p>(</c->input<c- p>,</c-> reduceOptions<c- p>);</c->
@@ -4898,9 +5488,7 @@ <h4 class="heading settled" data-level="7.6.18" id="api-mlgraphbuilder-instancen
     builder<c- p>.</c->reshape<c- p>(</c->options<c- p>.</c->scale<c- p>,</c-> shape<c- p>),</c->
     builder<c- p>.</c->div<c- p>(</c->
       builder<c- p>.</c->sub<c- p>(</c->input<c- p>,</c-> mean<c- p>),</c->
-      buidler<c- p>.</c->pow<c- p>(</c->
-        builder<c- p>.</c->add<c- p>(</c->variance<c- p>,</c-> options<c- p>.</c->epsilon<c- p>),</c->
-        builder<c- p>.</c->constant<c- p>(</c-><c- mf>0.5</c-><c- p>))</c->
+      buidler<c- p>.</c->sqrt<c- p>(</c->builder<c- p>.</c->add<c- p>(</c->variance<c- p>,</c-> options<c- p>.</c->epsilon<c- p>))</c->
       <c- p>)</c->
     <c- p>),</c->
   builder<c- p>.</c->reshape<c- p>(</c->options<c- p>.</c->bias<c- p>,</c-> shape<c- p>)</c->
@@ -4908,48 +5496,172 @@ <h4 class="heading settled" data-level="7.6.18" id="api-mlgraphbuilder-instancen
 </pre>
     </details>
    </div>
-   <h4 class="heading settled" data-level="7.6.19" id="api-mlgraphbuilder-leakyrelu"><span class="secno">7.6.19. </span><span class="content">The leakyRelu() method</span><a class="self-link" href="#api-mlgraphbuilder-leakyrelu"></a></h4>
-    Calculate the <a href="https://en.wikipedia.org/wiki/Rectifier_(neural_networks)#Leaky_ReLU"> leaky version of rectified linear function</a> on the input tensor element-wise. The calculation follows the expression <code>max(0, x) + alpha ∗ min(0, x)</code>. 
-<pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlleakyreluoptions"><code><c- g>MLLeakyReluOptions</c-></code></dfn> {
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②⑦"><c- b>float</c-></a> <a class="idl-code" data-default="0.01" data-link-type="dict-member" data-type="float " href="#dom-mlleakyreluoptions-alpha" id="ref-for-dom-mlleakyreluoptions-alpha"><c- g>alpha</c-></a> = 0.01;
+   <h4 class="heading settled" data-level="7.7.24" id="api-mlgraphbuilder-layernorm"><span class="secno">7.7.24. </span><span class="content">layerNormalization</span><a class="self-link" href="#api-mlgraphbuilder-layernorm"></a></h4>
+    Normalize the input using <a data-link-type="biblio" href="#biblio-layer-normalization" title="Layer Normalization">[Layer-Normalization]</a>. Unlike <a href="#api-mlgraphbuilder-batchnorm">§ 7.7.3 batchNormalization</a> where the mean and variance values are computed across all the samples in the batch dimension while the model is trained, and in <a href="#api-mlgraphbuilder-instancenorm">§ 7.7.23 instanceNormalization</a> where the mean and variance values are computed on the fly for each input feature of each individual sample in the batch, the means and variance values of the layer normalization are computed on the fly across all the input features of each individual sample in the batch. 
+<pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mllayernormalizationoptions"><code><c- g>MLLayerNormalizationOptions</c-></code></dfn> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②④⑧"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mllayernormalizationoptions-scale" id="ref-for-dom-mllayernormalizationoptions-scale"><c- g>scale</c-></a>;
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②④⑨"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mllayernormalizationoptions-bias" id="ref-for-dom-mllayernormalizationoptions-bias"><c- g>bias</c-></a>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①④"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long④⓪"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mllayernormalizationoptions-axes" id="ref-for-dom-mllayernormalizationoptions-axes"><c- g>axes</c-></a>;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③①"><c- b>float</c-></a> <a class="idl-code" data-default="1e-5" data-link-type="dict-member" data-type="float " href="#dom-mllayernormalizationoptions-epsilon" id="ref-for-dom-mllayernormalizationoptions-epsilon"><c- g>epsilon</c-></a> = 1e-5;
 };
 
-<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder③⑦"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⓪④"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-leakyrelu" id="ref-for-dom-mlgraphbuilder-leakyrelu"><c- g>leakyRelu</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⓪⑤"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/leakyRelu(input, options), MLGraphBuilder/leakyRelu(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-leakyrelu-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-leakyrelu-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlleakyreluoptions" id="ref-for-dictdef-mlleakyreluoptions"><c- n>MLLeakyReluOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/leakyRelu(input, options), MLGraphBuilder/leakyRelu(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-leakyrelu-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-leakyrelu-input-options-options"></a></dfn> = {});
-  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation③③"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-leakyrelu-options" id="ref-for-dom-mlgraphbuilder-leakyrelu-options"><c- g>leakyRelu</c-></a>(<c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlleakyreluoptions" id="ref-for-dictdef-mlleakyreluoptions①"><c- n>MLLeakyReluOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/leakyRelu(options), MLGraphBuilder/leakyRelu()" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-leakyrelu-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-leakyrelu-options-options"></a></dfn> = {});
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder③⑨"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑤⓪"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-layernormalization" id="ref-for-dom-mlgraphbuilder-layernormalization"><c- g>layerNormalization</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑤①"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/layerNormalization(input, options), MLGraphBuilder/layerNormalization(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-layernormalization-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-layernormalization-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mllayernormalizationoptions" id="ref-for-dictdef-mllayernormalizationoptions"><c- n>MLLayerNormalizationOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/layerNormalization(input, options), MLGraphBuilder/layerNormalization(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-layernormalization-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-layernormalization-input-options-options"></a></dfn> = {});
 };
 </pre>
-   <div class="note" role="note">
-    <details open>
-     <summary> The behavior of this operation can be generically emulated from the usage of
-    other operations as follow. However, user agents typically have a more
-    efficient implementation for it, therefore its usage is encouraged from the
-    performance standpoint. </summary>
-<pre class="highlight"><c- k>return</c-> builder<c- p>.</c->add<c- p>(</c->builder<c- p>.</c->max<c- p>(</c->builder<c- p>.</c->constant<c- p>(</c-><c- mf>0</c-><c- p>),</c-> x<c- p>),</c->
-          builder<c- p>.</c->mul<c- p>(</c->builder<c- p>.</c->constant<c- p>(</c->options<c- p>.</c->alpha<c- p>),</c-> builder<c- p>.</c->min<c- p>(</c->builder<c- p>.</c->constant<c- p>(</c-><c- mf>0</c-><c- p>),</c-> x<c- p>)));</c->
-</pre>
-    </details>
-   </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlleakyreluoptions" id="ref-for-dictdef-mlleakyreluoptions②">MLLeakyReluOptions</a></code> has the following members:</p>
+   <p>The <code class="idl"><a data-link-type="idl" href="#dictdef-mllayernormalizationoptions" id="ref-for-dictdef-mllayernormalizationoptions①">MLLayerNormalizationOptions</a></code> members are:</p>
    <dl>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLeakyReluOptions" data-dfn-type="dict-member" data-export id="dom-mlleakyreluoptions-alpha"><code>alpha</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②⑧">float</a>, defaulting to <code>0.01</code></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLayerNormalizationOptions" data-dfn-type="dict-member" data-export id="dom-mllayernormalizationoptions-scale"><code>scale</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑤②">MLOperand</a></span>
     <dd data-md>
-     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②⑨">float</a></code> scalar multiplier.
- The default value is 0.01.</p>
+     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑤③">MLOperand</a></code>. Specifies the N-D tensor of the scaling values whose shape is determined by the <var>axes</var> member in that each value in <var>axes</var> indicates the dimension of the input tensor with scaling values. For example, for an <var>axes</var> values of [1,2,3], the shape of this tensor is the list of the corresponding sizes of the input dimension 1, 2 and 3. When this member is not present, the scaling value is assumed to be 1.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLayerNormalizationOptions" data-dfn-type="dict-member" data-export id="dom-mllayernormalizationoptions-bias"><code>bias</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑤④">MLOperand</a></span>
+    <dd data-md>
+     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑤⑤">MLOperand</a></code>. Specifies the N-D tensor of the bias values whose shape is determined by the <var>axes</var> member in that each value in <var>axes</var> indicates the dimension of the input tensor with bias values. For example, for an <var>axes</var> values of [1,2,3], the shape of this tensor is the list of the corresponding sizes of the input dimension 1, 2 and 3. When this member is not present, the bias value is assumed to be 0.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLayerNormalizationOptions" data-dfn-type="dict-member" data-export id="dom-mllayernormalizationoptions-axes"><code>axes</code></dfn>, <span> of type <code class="idl-code">sequence&lt;unsigned long></code></span>
+    <dd data-md>
+     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long④①">unsigned long</a></code>. The indices to the input dimensions to reduce. When this member is not present, it is assumed to be [1,2,3] that is, the reduction for the mean and variance values are calculated across all the input features for each individual sample in the batch.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLayerNormalizationOptions" data-dfn-type="dict-member" data-export id="dom-mllayernormalizationoptions-epsilon"><code>epsilon</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③②">float</a>, defaulting to <code>1e-5</code></span>
+    <dd data-md>
+     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③③">float</a></code> scalar. Specifies a small value to prevent computational error due to divide-by-zero.</p>
+   </dl>
+   <div>
+     <strong>Arguments:</strong> 
+    <ul>
+     <li data-md>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑤⑥">MLOperand</a></code>. The input N-D tensor.</p>
+     <li data-md>
+      <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mllayernormalizationoptions" id="ref-for-dictdef-mllayernormalizationoptions②">MLLayerNormalizationOptions</a></code>. The optional parameters of the operation.</p>
+    </ul>
+    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑤⑦">MLOperand</a></code>. The layer-normalized N-D tensor of the same shape as <em>input</em>.</p>
+   </div>
+   <details class="algorithm" data-algorithm="layerNormalization(input, options)" data-algorithm-for="MLGraphBuilder" open>
+    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export data-lt="layerNormalization(input, options)|layerNormalization(input)" id="dom-mlgraphbuilder-layernormalization"><code>layerNormalization(<var>input</var>, <var>options</var>)</code></dfn> method steps are: </summary>
+    <div class="algorithm-steps">
+     <ol>
+      <li data-md>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert④⑧">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑤⑧">MLOperand</a></code>.</p>
+      <li data-md>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert④⑨">Assert</a>:  the type of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllayernormalizationoptions-scale" id="ref-for-dom-mllayernormalizationoptions-scale①">scale</a></code> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑤⑨">MLOperand</a></code>.</p>
+      <li data-md>
+       <p>If the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank②③">rank</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllayernormalizationoptions-scale" id="ref-for-dom-mllayernormalizationoptions-scale②">scale</a></code> is not equal to the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size③①">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllayernormalizationoptions-axes" id="ref-for-dom-mllayernormalizationoptions-axes①">axes</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑨⑦">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑤⑥">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑨⑨">DOMException</a></code>.</p>
+      <li data-md>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑤⓪">Assert</a>: the type of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllayernormalizationoptions-bias" id="ref-for-dom-mllayernormalizationoptions-bias①">bias</a></code> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑥⓪">MLOperand</a></code>.</p>
+      <li data-md>
+       <p>If the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank②④">rank</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllayernormalizationoptions-bias" id="ref-for-dom-mllayernormalizationoptions-bias②">bias</a></code> is not equal to the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size③②">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllayernormalizationoptions-axes" id="ref-for-dom-mllayernormalizationoptions-axes②">axes</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑨⑧">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑤⑦">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⓪⓪">DOMException</a></code>.</p>
+      <li data-md>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate①⑧">For each</a> <var>index</var> in <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#the-range" id="ref-for-the-range⑥">the range</a> 0 to the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size③③">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllayernormalizationoptions-axes" id="ref-for-dom-mllayernormalizationoptions-axes③">axes</a></code>, exclusive:</p>
+       <ol>
+        <li data-md>
+         <p>Let <var>axis</var> be <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllayernormalizationoptions-axes" id="ref-for-dom-mllayernormalizationoptions-axes④">axes</a></code>[<var>index</var>].</p>
+        <li data-md>
+         <p>If <var>axis</var> is greater or equal to the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size③④">size</a> of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑥⓪">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑤⑨">dimensions</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑨⑨">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑤⑧">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⓪①">DOMException</a></code>.</p>
+        <li data-md>
+         <p>Let <var>size</var> be <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑥①">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑥⓪">dimensions</a></code>[<var>axis</var>].</p>
+        <li data-md>
+         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllayernormalizationoptions-scale" id="ref-for-dom-mllayernormalizationoptions-scale③">scale</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑥②">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑥①">dimensions</a></code>[<var>index</var>] is not equal to <var>size</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⓪⓪">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑤⑨">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⓪②">DOMException</a></code>.</p>
+        <li data-md>
+         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllayernormalizationoptions-bias" id="ref-for-dom-mllayernormalizationoptions-bias③">bias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑥③">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑥②">dimensions</a></code>[<var>index</var>] is not equal to <var>size</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⓪①">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑥⓪">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⓪③">DOMException</a></code>.</p>
+       </ol>
+      <li data-md>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⓪②">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror③④">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⓪④">DOMException</a></code>.</p>
+       <ol>
+        <li data-md>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand⑦">copying an MLOperand</a> given <var>input</var>.</p>
+        <li data-md>
+         <p>Make a request to the underlying platform to:</p>
+         <ol>
+          <li data-md>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined④⑥">implementation-defined</a> platform operator for the instance normalization operation, given <var>options</var>.</p>
+          <li data-md>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot①⑧">[[operator]]</a></code>.</p>
+          <li data-md>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined④⑦">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+          <li data-md>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑤⑨">[[operand]]</a></code>.</p>
+         </ol>
+        <li data-md>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑥⓪">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+        <li data-md>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑥①">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+       </ol>
+      <li data-md>
+       <p>Return <var>output</var>.</p>
+     </ol>
+    </div>
+   </details>
+   <div class="note" role="note">
+    <details open>
+     <summary> The behavior of this operation when the axes parameter is set to [1,2,3] can be generically emulated from
+    the usage of other operations as follow. However, user agents typically have a more efficient implementation for it,
+    therefore its usage is encouraged from the performance standpoint. </summary>
+<pre class="highlight"><c- c1>// The reduction of the mean and variance values happens over the spatial dimensions </c->
+<c- c1>// across all the input features (i.e. all channels) of the input tensor.</c->
+<c- a>const</c-> reduceOptions <c- o>=</c-> <c- p>{</c-> axes<c- o>:</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-><c- mf>2</c-><c- p>,</c-><c- mf>3</c-><c- p>],</c-> keepDimensions<c- o>:</c-> <c- kc>true</c-> <c- p>};</c->
+<c- a>const</c-> mean <c- o>=</c-> builder<c- p>.</c->reduceMean<c- p>(</c->input<c- p>,</c-> reduceOptions<c- p>);</c->
+<c- a>const</c-> variance <c- o>=</c-> builder<c- p>.</c->reduceMean<c- p>(</c->
+  builder<c- p>.</c->pow<c- p>(</c->
+    builder<c- p>.</c->sub<c- p>(</c->input<c- p>,</c-> mean<c- p>),</c->
+    buider<c- p>.</c->constant<c- p>(</c-><c- mf>2</c-><c- p>)),</c->
+  reduceOptions
+  <c- p>);</c->
+
+<c- c1>// The scale and bias tensors are of the shape of the input dimensions specified </c->
+<c- c1>// by the values in the axes parameter (i.e. [1,2,3]).</c->
+<c- k>return</c-> builder<c- p>.</c->add<c- p>(</c->
+  builder<c- p>.</c->mul<c- p>(</c->
+    options<c- p>.</c->scale<c- p>,</c->
+    builder<c- p>.</c->div<c- p>(</c->
+      builder<c- p>.</c->sub<c- p>(</c->input<c- p>,</c-> mean<c- p>),</c->
+      buidler<c- p>.</c->sqrt<c- p>(</c->builder<c- p>.</c->add<c- p>(</c->variance<c- p>,</c-> options<c- p>.</c->epsilon<c- p>))</c->
+      <c- p>)</c->
+    <c- p>),</c->
+  options<c- p>.</c->bias
+  <c- p>);</c->
+</pre>
+    </details>
+   </div>
+   <h4 class="heading settled" data-level="7.7.25" id="api-mlgraphbuilder-leakyrelu"><span class="secno">7.7.25. </span><span class="content">leakyRelu</span><a class="self-link" href="#api-mlgraphbuilder-leakyrelu"></a></h4>
+    Calculate the <a href="https://en.wikipedia.org/wiki/Rectifier_(neural_networks)#Leaky_ReLU"> leaky version of rectified linear function</a> on the input tensor element-wise. The calculation follows the expression <code>max(0, x) + alpha ∗ min(0, x)</code>. 
+<pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlleakyreluoptions"><code><c- g>MLLeakyReluOptions</c-></code></dfn> {
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③④"><c- b>float</c-></a> <a class="idl-code" data-default="0.01" data-link-type="dict-member" data-type="float " href="#dom-mlleakyreluoptions-alpha" id="ref-for-dom-mlleakyreluoptions-alpha"><c- g>alpha</c-></a> = 0.01;
+};
+
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder④⓪"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑥①"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-leakyrelu" id="ref-for-dom-mlgraphbuilder-leakyrelu"><c- g>leakyRelu</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑥②"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/leakyRelu(input, options), MLGraphBuilder/leakyRelu(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-leakyrelu-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-leakyrelu-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlleakyreluoptions" id="ref-for-dictdef-mlleakyreluoptions"><c- n>MLLeakyReluOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/leakyRelu(input, options), MLGraphBuilder/leakyRelu(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-leakyrelu-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-leakyrelu-input-options-options"></a></dfn> = {});
+  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation③④"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-leakyrelu-options" id="ref-for-dom-mlgraphbuilder-leakyrelu-options"><c- g>leakyRelu</c-></a>(<c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlleakyreluoptions" id="ref-for-dictdef-mlleakyreluoptions①"><c- n>MLLeakyReluOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/leakyRelu(options), MLGraphBuilder/leakyRelu()" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-leakyrelu-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-leakyrelu-options-options"></a></dfn> = {});
+};
+</pre>
+   <div class="note" role="note">
+    <details open>
+     <summary> The behavior of this operation can be generically emulated from the usage of
+    other operations as follow. However, user agents typically have a more
+    efficient implementation for it, therefore its usage is encouraged from the
+    performance standpoint. </summary>
+<pre class="highlight"><c- k>return</c-> builder<c- p>.</c->add<c- p>(</c->builder<c- p>.</c->max<c- p>(</c->builder<c- p>.</c->constant<c- p>(</c-><c- mf>0</c-><c- p>),</c-> x<c- p>),</c->
+          builder<c- p>.</c->mul<c- p>(</c->builder<c- p>.</c->constant<c- p>(</c->options<c- p>.</c->alpha<c- p>),</c-> builder<c- p>.</c->min<c- p>(</c->builder<c- p>.</c->constant<c- p>(</c-><c- mf>0</c-><c- p>),</c-> x<c- p>)));</c->
+</pre>
+    </details>
+   </div>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlleakyreluoptions" id="ref-for-dictdef-mlleakyreluoptions②">MLLeakyReluOptions</a></code> has the following members:</p>
+   <dl>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLeakyReluOptions" data-dfn-type="dict-member" data-export id="dom-mlleakyreluoptions-alpha"><code>alpha</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③⑤">float</a>, defaulting to <code>0.01</code></span>
+    <dd data-md>
+     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③⑥">float</a></code> scalar multiplier.
+ The default value is 0.01.</p>
    </dl>
-   <h5 class="heading settled" data-level="7.6.19.1" id="api-mlgraphbuilder-leaky-relu-input-options"><span class="secno">7.6.19.1. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-leakyrelu" id="ref-for-dom-mlgraphbuilder-leakyrelu①">leakyRelu(input, options)</a></code> method</span><a class="self-link" href="#api-mlgraphbuilder-leaky-relu-input-options"></a></h5>
+   <h5 class="heading settled" data-level="7.7.25.1" id="api-mlgraphbuilder-leaky-relu-input-options"><span class="secno">7.7.25.1. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-leakyrelu" id="ref-for-dom-mlgraphbuilder-leakyrelu①">leakyRelu(input, options)</a></code></span><a class="self-link" href="#api-mlgraphbuilder-leaky-relu-input-options"></a></h5>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⓪⑥">MLOperand</a></code>. The input tensor.</p>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑥③">MLOperand</a></code>. The input tensor.</p>
      <li data-md>
       <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlleakyreluoptions" id="ref-for-dictdef-mlleakyreluoptions③">MLLeakyReluOptions</a></code>. The optional parameters of the operation.</p>
     </ul>
     <p><strong>Returns:</strong></p>
     <ul>
      <li data-md>
-      <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⓪⑦">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
+      <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑥④">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
     </ul>
    </div>
    <details class="algorithm" data-algorithm="leakyRelu(input, options)" data-algorithm-for="MLGraphBuilder" open>
@@ -4957,33 +5669,33 @@ <h5 class="heading settled" data-level="7.6.19.1" id="api-mlgraphbuilder-leaky-r
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑤⑥">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror②⑧">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑧④">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⓪③">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror③⑤">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⓪⑤">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand⑥">copying an MLOperand</a> given <var>input</var>.</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand⑧">copying an MLOperand</a> given <var>input</var>.</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined③⑥">implementation-defined</a> platform operator for the Leaky RELU operation, given <var>options</var>.</p>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined④⑧">implementation-defined</a> platform operator for the Leaky RELU operation, given <var>options</var>.</p>
           <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot①③">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot①⑨">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined③⑦">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined④⑨">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot④②">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑥②">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot④③">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑥③">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
         <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot④④">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑥④">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
      </ol>
     </div>
    </details>
-   <h5 class="heading settled" data-level="7.6.19.2" id="api-mlgraphbuilder-leaky-relu-options"><span class="secno">7.6.19.2. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-leakyrelu-options" id="ref-for-dom-mlgraphbuilder-leakyrelu-options①">leakyRelu(options)</a></code> method</span><a class="self-link" href="#api-mlgraphbuilder-leaky-relu-options"></a></h5>
+   <h5 class="heading settled" data-level="7.7.25.2" id="api-mlgraphbuilder-leaky-relu-options"><span class="secno">7.7.25.2. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-leakyrelu-options" id="ref-for-dom-mlgraphbuilder-leakyrelu-options①">leakyRelu(options)</a></code></span><a class="self-link" href="#api-mlgraphbuilder-leaky-relu-options"></a></h5>
    <div>
      <strong>Arguments:</strong> 
     <ul>
@@ -4993,7 +5705,7 @@ <h5 class="heading settled" data-level="7.6.19.2" id="api-mlgraphbuilder-leaky-r
     <p><strong>Returns:</strong></p>
     <ul>
      <li data-md>
-      <p>an <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation③④">MLActivation</a></code>. The activation function representing the leaky relu operation.</p>
+      <p>an <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation③⑤">MLActivation</a></code>. The activation function representing the leaky relu operation.</p>
     </ul>
    </div>
    <details class="algorithm" data-algorithm="leakyRelu(options)" data-algorithm-for="MLGraphBuilder" open>
@@ -5001,26 +5713,26 @@ <h5 class="heading settled" data-level="7.6.19.2" id="api-mlgraphbuilder-leaky-r
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p>Let <var>op</var> be the result of <a data-link-type="dfn" href="#create-an-mlactivation" id="ref-for-create-an-mlactivation④">creating an MLActivation</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this②②">this</a>, <code>"leakyRelu"</code> and <var>options</var>.</p>
+       <p>Let <var>op</var> be the result of <a data-link-type="dfn" href="#create-an-mlactivation" id="ref-for-create-an-mlactivation④">creating an MLActivation</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this②⑦">this</a>, <code>"leakyRelu"</code> and <var>options</var>.</p>
        <ol>
         <li data-md>
-         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑤⑦">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑤⑧">throw</a> the error.</p>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⓪④">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⓪⑤">throw</a> the error.</p>
        </ol>
       <li data-md>
        <p>Return <var>op</var>.</p>
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.6.20" id="api-mlgraphbuilder-linear"><span class="secno">7.6.20. </span><span class="content">The linear() method</span><a class="self-link" href="#api-mlgraphbuilder-linear"></a></h4>
+   <h4 class="heading settled" data-level="7.7.26" id="api-mlgraphbuilder-linear"><span class="secno">7.7.26. </span><span class="content">linear</span><a class="self-link" href="#api-mlgraphbuilder-linear"></a></h4>
     Calculate a linear function <code>y = alpha * x + beta</code> on the input tensor. 
 <pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mllinearoptions"><code><c- g>MLLinearOptions</c-></code></dfn> {
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③⓪"><c- b>float</c-></a> <a class="idl-code" data-default="1" data-link-type="dict-member" data-type="float " href="#dom-mllinearoptions-alpha" id="ref-for-dom-mllinearoptions-alpha"><c- g>alpha</c-></a> = 1;
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③①"><c- b>float</c-></a> <a class="idl-code" data-default="0" data-link-type="dict-member" data-type="float " href="#dom-mllinearoptions-beta" id="ref-for-dom-mllinearoptions-beta"><c- g>beta</c-></a> = 0;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③⑦"><c- b>float</c-></a> <a class="idl-code" data-default="1" data-link-type="dict-member" data-type="float " href="#dom-mllinearoptions-alpha" id="ref-for-dom-mllinearoptions-alpha"><c- g>alpha</c-></a> = 1;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③⑧"><c- b>float</c-></a> <a class="idl-code" data-default="0" data-link-type="dict-member" data-type="float " href="#dom-mllinearoptions-beta" id="ref-for-dom-mllinearoptions-beta"><c- g>beta</c-></a> = 0;
 };
 
-<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder③⑧"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⓪⑧"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-linear" id="ref-for-dom-mlgraphbuilder-linear"><c- g>linear</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⓪⑨"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/linear(input, options), MLGraphBuilder/linear(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-linear-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-linear-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mllinearoptions" id="ref-for-dictdef-mllinearoptions"><c- n>MLLinearOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/linear(input, options), MLGraphBuilder/linear(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-linear-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-linear-input-options-options"></a></dfn> = {});
-  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation③⑤"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-linear-options" id="ref-for-dom-mlgraphbuilder-linear-options"><c- g>linear</c-></a>(<c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mllinearoptions" id="ref-for-dictdef-mllinearoptions①"><c- n>MLLinearOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/linear(options), MLGraphBuilder/linear()" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-linear-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-linear-options-options"></a></dfn> = {});
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder④①"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑥⑤"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-linear" id="ref-for-dom-mlgraphbuilder-linear"><c- g>linear</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑥⑥"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/linear(input, options), MLGraphBuilder/linear(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-linear-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-linear-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mllinearoptions" id="ref-for-dictdef-mllinearoptions"><c- n>MLLinearOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/linear(input, options), MLGraphBuilder/linear(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-linear-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-linear-input-options-options"></a></dfn> = {});
+  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation③⑥"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-linear-options" id="ref-for-dom-mlgraphbuilder-linear-options"><c- g>linear</c-></a>(<c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mllinearoptions" id="ref-for-dictdef-mllinearoptions①"><c- n>MLLinearOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/linear(options), MLGraphBuilder/linear()" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-linear-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-linear-options-options"></a></dfn> = {});
 };
 </pre>
    <div class="note" role="note">
@@ -5037,28 +5749,28 @@ <h4 class="heading settled" data-level="7.6.20" id="api-mlgraphbuilder-linear"><
    </div>
    <p><code class="idl"><a data-link-type="idl" href="#dictdef-mllinearoptions" id="ref-for-dictdef-mllinearoptions②">MLLinearOptions</a></code> has the following members:</p>
    <dl>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLinearOptions" data-dfn-type="dict-member" data-export id="dom-mllinearoptions-alpha"><code>alpha</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③②">float</a>, defaulting to <code>1</code></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLinearOptions" data-dfn-type="dict-member" data-export id="dom-mllinearoptions-alpha"><code>alpha</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③⑨">float</a>, defaulting to <code>1</code></span>
     <dd data-md>
-     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③③">float</a></code> scalar multiplier.
+     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float④⓪">float</a></code> scalar multiplier.
  The default value is 1.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLinearOptions" data-dfn-type="dict-member" data-export id="dom-mllinearoptions-beta"><code>beta</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③④">float</a>, defaulting to <code>0</code></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLinearOptions" data-dfn-type="dict-member" data-export id="dom-mllinearoptions-beta"><code>beta</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float④①">float</a>, defaulting to <code>0</code></span>
     <dd data-md>
-     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③⑤">float</a></code> scalar addition.
+     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float④②">float</a></code> scalar addition.
  The default value is 0.</p>
    </dl>
-   <h5 class="heading settled" data-level="7.6.20.1" id="api-mlgraphbuilder-linear-input-options"><span class="secno">7.6.20.1. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-linear" id="ref-for-dom-mlgraphbuilder-linear①">linear(input, options)</a></code> method</span><a class="self-link" href="#api-mlgraphbuilder-linear-input-options"></a></h5>
+   <h5 class="heading settled" data-level="7.7.26.1" id="api-mlgraphbuilder-linear-input-options"><span class="secno">7.7.26.1. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-linear" id="ref-for-dom-mlgraphbuilder-linear①">linear(input, options)</a></code></span><a class="self-link" href="#api-mlgraphbuilder-linear-input-options"></a></h5>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②①⓪">MLOperand</a></code>. The input tensor.</p>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑥⑦">MLOperand</a></code>. The input tensor.</p>
      <li data-md>
       <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mllinearoptions" id="ref-for-dictdef-mllinearoptions③">MLLinearOptions</a></code>. The optional parameters of the operation.</p>
     </ul>
     <p><strong>Returns:</strong></p>
     <ul>
      <li data-md>
-      <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②①①">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
+      <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑥⑧">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
     </ul>
    </div>
    <details class="algorithm" data-algorithm="linear(input, options)" data-algorithm-for="MLGraphBuilder" open>
@@ -5066,33 +5778,33 @@ <h5 class="heading settled" data-level="7.6.20.1" id="api-mlgraphbuilder-linear-
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑤⑨">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror②⑨">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑧⑤">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⓪⑥">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror③⑥">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⓪⑥">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand⑦">copying an MLOperand</a> given <var>input</var>.</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand⑨">copying an MLOperand</a> given <var>input</var>.</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined③⑧">implementation-defined</a> platform operator for the linear operation, given <var>options</var>.</p>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑤⓪">implementation-defined</a> platform operator for the linear operation, given <var>options</var>.</p>
           <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot①④">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot②⓪">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined③⑨">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑤①">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot④⑤">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑥⑤">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot④⑥">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑥⑥">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
         <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot④⑦">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑥⑦">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
      </ol>
     </div>
    </details>
-   <h5 class="heading settled" data-level="7.6.20.2" id="api-mlgraphbuilder-linear-options"><span class="secno">7.6.20.2. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-linear-options" id="ref-for-dom-mlgraphbuilder-linear-options①">linear(options)</a></code> method</span><a class="self-link" href="#api-mlgraphbuilder-linear-options"></a></h5>
+   <h5 class="heading settled" data-level="7.7.26.2" id="api-mlgraphbuilder-linear-options"><span class="secno">7.7.26.2. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-linear-options" id="ref-for-dom-mlgraphbuilder-linear-options①">linear(options)</a></code></span><a class="self-link" href="#api-mlgraphbuilder-linear-options"></a></h5>
    <div>
      <strong>Arguments:</strong> 
     <ul>
@@ -5102,7 +5814,7 @@ <h5 class="heading settled" data-level="7.6.20.2" id="api-mlgraphbuilder-linear-
     <p><strong>Returns:</strong></p>
     <ul>
      <li data-md>
-      <p>an <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation③⑥">MLActivation</a></code>. The activation function representing the linear operation.</p>
+      <p>an <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation③⑦">MLActivation</a></code>. The activation function representing the linear operation.</p>
     </ul>
    </div>
    <details class="algorithm" data-algorithm="linear(options)" data-algorithm-for="MLGraphBuilder" open>
@@ -5110,17 +5822,17 @@ <h5 class="heading settled" data-level="7.6.20.2" id="api-mlgraphbuilder-linear-
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p>Let <var>op</var> be the result of <a data-link-type="dfn" href="#create-an-mlactivation" id="ref-for-create-an-mlactivation⑤">creating an MLActivation</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this②③">this</a>, <code>"linear"</code> and <var>options</var>.</p>
+       <p>Let <var>op</var> be the result of <a data-link-type="dfn" href="#create-an-mlactivation" id="ref-for-create-an-mlactivation⑤">creating an MLActivation</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this②⑧">this</a>, <code>"linear"</code> and <var>options</var>.</p>
        <ol>
         <li data-md>
-         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑥⓪">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑥①">throw</a> the error.</p>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⓪⑦">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⓪⑧">throw</a> the error.</p>
        </ol>
       <li data-md>
        <p>Return <var>op</var>.</p>
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.6.21" id="api-mlgraphbuilder-lstm"><span class="secno">7.6.21. </span><span class="content">The lstm() method</span><a class="self-link" href="#api-mlgraphbuilder-lstm"></a></h4>
+   <h4 class="heading settled" data-level="7.7.27" id="api-mlgraphbuilder-lstm"><span class="secno">7.7.27. </span><span class="content">lstm</span><a class="self-link" href="#api-mlgraphbuilder-lstm"></a></h4>
     Long Short-Term Memory <a data-link-type="biblio" href="#biblio-lstm" title="Long Short-Term Memory">[LSTM]</a> recurrent network uses an input, output, forget, and cell gate to compute the output state that rolls into the output across the temporal sequence of the network. 
 <pre class="idl highlight def"><c- b>enum</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="enum" data-export id="enumdef-mllstmweightlayout"><code><c- g>MLLstmWeightLayout</c-></code></dfn> {
   <dfn class="idl-code" data-dfn-for="MLLstmWeightLayout" data-dfn-type="enum-value" data-export id="dom-mllstmweightlayout-iofg"><code><c- s>"iofg"</c-></code><a class="self-link" href="#dom-mllstmweightlayout-iofg"></a></dfn>, // input-output-forget-cell gate ordering
@@ -5128,70 +5840,70 @@ <h4 class="heading settled" data-level="7.6.21" id="api-mlgraphbuilder-lstm"><sp
 };
 
 <c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mllstmoptions"><code><c- g>MLLstmOptions</c-></code></dfn> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②①②"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mllstmoptions-bias" id="ref-for-dom-mllstmoptions-bias"><c- g>bias</c-></a>;
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②①③"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mllstmoptions-recurrentbias" id="ref-for-dom-mllstmoptions-recurrentbias"><c- g>recurrentBias</c-></a>;
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②①④"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mllstmoptions-peepholeweight" id="ref-for-dom-mllstmoptions-peepholeweight"><c- g>peepholeWeight</c-></a>;
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②①⑤"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mllstmoptions-initialhiddenstate" id="ref-for-dom-mllstmoptions-initialhiddenstate"><c- g>initialHiddenState</c-></a>;
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②①⑥"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mllstmoptions-initialcellstate" id="ref-for-dom-mllstmoptions-initialcellstate"><c- g>initialCellState</c-></a>;
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean①⑤"><c- b>boolean</c-></a> <a class="idl-code" data-default="false" data-link-type="dict-member" data-type="boolean " href="#dom-mllstmoptions-returnsequence" id="ref-for-dom-mllstmoptions-returnsequence"><c- g>returnSequence</c-></a> = <c- b>false</c->;
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑥⑨"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mllstmoptions-bias" id="ref-for-dom-mllstmoptions-bias"><c- g>bias</c-></a>;
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑦⓪"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mllstmoptions-recurrentbias" id="ref-for-dom-mllstmoptions-recurrentbias"><c- g>recurrentBias</c-></a>;
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑦①"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mllstmoptions-peepholeweight" id="ref-for-dom-mllstmoptions-peepholeweight"><c- g>peepholeWeight</c-></a>;
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑦②"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mllstmoptions-initialhiddenstate" id="ref-for-dom-mllstmoptions-initialhiddenstate"><c- g>initialHiddenState</c-></a>;
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑦③"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mllstmoptions-initialcellstate" id="ref-for-dom-mllstmoptions-initialcellstate"><c- g>initialCellState</c-></a>;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean②③"><c- b>boolean</c-></a> <a class="idl-code" data-default="false" data-link-type="dict-member" data-type="boolean " href="#dom-mllstmoptions-returnsequence" id="ref-for-dom-mllstmoptions-returnsequence"><c- g>returnSequence</c-></a> = <c- b>false</c->;
   <a data-link-type="idl-name" href="#enumdef-mlrecurrentnetworkdirection" id="ref-for-enumdef-mlrecurrentnetworkdirection③"><c- n>MLRecurrentNetworkDirection</c-></a> <a class="idl-code" data-default="&quot;forward&quot;" data-link-type="dict-member" data-type="MLRecurrentNetworkDirection " href="#dom-mllstmoptions-direction" id="ref-for-dom-mllstmoptions-direction"><c- g>direction</c-></a> = "forward";
   <a data-link-type="idl-name" href="#enumdef-mllstmweightlayout" id="ref-for-enumdef-mllstmweightlayout"><c- n>MLLstmWeightLayout</c-></a> <a class="idl-code" data-default="&quot;iofg&quot;" data-link-type="dict-member" data-type="MLLstmWeightLayout " href="#dom-mllstmoptions-layout" id="ref-for-dom-mllstmoptions-layout"><c- g>layout</c-></a> = "iofg";
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①③"><c- b>sequence</c-></a>&lt;<a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation③⑦"><c- n>MLActivation</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<MLActivation> " href="#dom-mllstmoptions-activations" id="ref-for-dom-mllstmoptions-activations"><c- g>activations</c-></a>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①⑤"><c- b>sequence</c-></a>&lt;<a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation③⑧"><c- n>MLActivation</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<MLActivation> " href="#dom-mllstmoptions-activations" id="ref-for-dom-mllstmoptions-activations"><c- g>activations</c-></a>;
 };
 
-<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder③⑨"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①④"><c- b>sequence</c-></a>&lt;<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②①⑦"><c- n>MLOperand</c-></a>> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-lstm" id="ref-for-dom-mlgraphbuilder-lstm"><c- g>lstm</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②①⑧"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/lstm(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/lstm(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-lstm-input-weight-recurrentweight-steps-hiddensize-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-lstm-input-weight-recurrentweight-steps-hiddensize-options-input"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②①⑨"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/lstm(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/lstm(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-lstm-input-weight-recurrentweight-steps-hiddensize-options-weight"><code><c- g>weight</c-></code><a class="self-link" href="#dom-mlgraphbuilder-lstm-input-weight-recurrentweight-steps-hiddensize-options-weight"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②②⓪"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/lstm(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/lstm(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-lstm-input-weight-recurrentweight-steps-hiddensize-options-recurrentweight"><code><c- g>recurrentWeight</c-></code><a class="self-link" href="#dom-mlgraphbuilder-lstm-input-weight-recurrentweight-steps-hiddensize-options-recurrentweight"></a></dfn>,
-                           <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③③"><c- b>unsigned</c-> <c- b>long</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/lstm(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/lstm(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-lstm-input-weight-recurrentweight-steps-hiddensize-options-steps"><code><c- g>steps</c-></code><a class="self-link" href="#dom-mlgraphbuilder-lstm-input-weight-recurrentweight-steps-hiddensize-options-steps"></a></dfn>, <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③④"><c- b>unsigned</c-> <c- b>long</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/lstm(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/lstm(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-lstm-input-weight-recurrentweight-steps-hiddensize-options-hiddensize"><code><c- g>hiddenSize</c-></code><a class="self-link" href="#dom-mlgraphbuilder-lstm-input-weight-recurrentweight-steps-hiddensize-options-hiddensize"></a></dfn>,
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder④②"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①⑥"><c- b>sequence</c-></a>&lt;<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑦④"><c- n>MLOperand</c-></a>> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-lstm" id="ref-for-dom-mlgraphbuilder-lstm"><c- g>lstm</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑦⑤"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/lstm(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/lstm(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-lstm-input-weight-recurrentweight-steps-hiddensize-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-lstm-input-weight-recurrentweight-steps-hiddensize-options-input"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑦⑥"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/lstm(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/lstm(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-lstm-input-weight-recurrentweight-steps-hiddensize-options-weight"><code><c- g>weight</c-></code><a class="self-link" href="#dom-mlgraphbuilder-lstm-input-weight-recurrentweight-steps-hiddensize-options-weight"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑦⑦"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/lstm(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/lstm(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-lstm-input-weight-recurrentweight-steps-hiddensize-options-recurrentweight"><code><c- g>recurrentWeight</c-></code><a class="self-link" href="#dom-mlgraphbuilder-lstm-input-weight-recurrentweight-steps-hiddensize-options-recurrentweight"></a></dfn>,
+                           <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long④②"><c- b>unsigned</c-> <c- b>long</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/lstm(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/lstm(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-lstm-input-weight-recurrentweight-steps-hiddensize-options-steps"><code><c- g>steps</c-></code><a class="self-link" href="#dom-mlgraphbuilder-lstm-input-weight-recurrentweight-steps-hiddensize-options-steps"></a></dfn>, <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long④③"><c- b>unsigned</c-> <c- b>long</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/lstm(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/lstm(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-lstm-input-weight-recurrentweight-steps-hiddensize-options-hiddensize"><code><c- g>hiddenSize</c-></code><a class="self-link" href="#dom-mlgraphbuilder-lstm-input-weight-recurrentweight-steps-hiddensize-options-hiddensize"></a></dfn>,
                            <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mllstmoptions" id="ref-for-dictdef-mllstmoptions"><c- n>MLLstmOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/lstm(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/lstm(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-lstm-input-weight-recurrentweight-steps-hiddensize-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-lstm-input-weight-recurrentweight-steps-hiddensize-options-options"></a></dfn> = {});
 };
 </pre>
    <p><code class="idl"><a data-link-type="idl" href="#dictdef-mllstmoptions" id="ref-for-dictdef-mllstmoptions①">MLLstmOptions</a></code> has the following members:</p>
    <dl>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLstmOptions" data-dfn-type="dict-member" data-export id="dom-mllstmoptions-bias"><code>bias</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②②①">MLOperand</a></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLstmOptions" data-dfn-type="dict-member" data-export id="dom-mllstmoptions-bias"><code>bias</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑦⑧">MLOperand</a></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②②②">MLOperand</a></code>. Specifies the 2-D input bias tensor of shape [numDirections, 4 * hiddenSize]. The ordering of the bias vectors in the second dimension of the tensor shape is specified according to <code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-layout" id="ref-for-dom-mllstmoptions-layout①">layout</a></code>.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLstmOptions" data-dfn-type="dict-member" data-export id="dom-mllstmoptions-recurrentbias"><code>recurrentBias</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②②③">MLOperand</a></span>
+     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑦⑨">MLOperand</a></code>. Specifies the 2-D input bias tensor of shape [numDirections, 4 * hiddenSize]. The ordering of the bias vectors in the second dimension of the tensor shape is specified according to <code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-layout" id="ref-for-dom-mllstmoptions-layout①">layout</a></code>.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLstmOptions" data-dfn-type="dict-member" data-export id="dom-mllstmoptions-recurrentbias"><code>recurrentBias</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑧⓪">MLOperand</a></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②②④">MLOperand</a></code>. Specifies the 2-D recurrent bias tensor of shape [numDirections, 4 * hiddenSize]. The ordering of the bias vectors in the first dimension of the tensor shape is specified according to <code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-layout" id="ref-for-dom-mllstmoptions-layout②">layout</a></code>.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLstmOptions" data-dfn-type="dict-member" data-export id="dom-mllstmoptions-peepholeweight"><code>peepholeWeight</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②②⑤">MLOperand</a></span>
+     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑧①">MLOperand</a></code>. Specifies the 2-D recurrent bias tensor of shape [numDirections, 4 * hiddenSize]. The ordering of the bias vectors in the first dimension of the tensor shape is specified according to <code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-layout" id="ref-for-dom-mllstmoptions-layout②">layout</a></code>.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLstmOptions" data-dfn-type="dict-member" data-export id="dom-mllstmoptions-peepholeweight"><code>peepholeWeight</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑧②">MLOperand</a></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②②⑥">MLOperand</a></code>. Specifies the 2-D weight tensor for peepholes of shape [numDirections, 3 * hiddenSize]. The pack ordering of the weight vectors is for the <code>input (i)</code>, <code>output (o)</code>, and <code>forget (f)</code> gate, respectively.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLstmOptions" data-dfn-type="dict-member" data-export id="dom-mllstmoptions-initialhiddenstate"><code>initialHiddenState</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②②⑦">MLOperand</a></span>
+     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑧③">MLOperand</a></code>. Specifies the 2-D weight tensor for peepholes of shape [numDirections, 3 * hiddenSize]. The pack ordering of the weight vectors is for the <code>input (i)</code>, <code>output (o)</code>, and <code>forget (f)</code> gate, respectively.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLstmOptions" data-dfn-type="dict-member" data-export id="dom-mllstmoptions-initialhiddenstate"><code>initialHiddenState</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑧④">MLOperand</a></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②②⑧">MLOperand</a></code>. Specifies the 3-D initial hidden state tensor of shape [numDirections, batchSize, hiddenSize]. When not specified, implementations SHOULD use a tensor filled with zero.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLstmOptions" data-dfn-type="dict-member" data-export id="dom-mllstmoptions-initialcellstate"><code>initialCellState</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②②⑨">MLOperand</a></span>
+     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑧⑤">MLOperand</a></code>. Specifies the 3-D initial hidden state tensor of shape [numDirections, batchSize, hiddenSize]. When not specified, implementations SHOULD use a tensor filled with zero.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLstmOptions" data-dfn-type="dict-member" data-export id="dom-mllstmoptions-initialcellstate"><code>initialCellState</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑧⑥">MLOperand</a></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②③⓪">MLOperand</a></code>. Specifies the 3-D initial hidden state tensor of shape [numDirections, batchSize, hiddenSize]. When not specified, implementations SHOULD use a tensor filled with zero.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLstmOptions" data-dfn-type="dict-member" data-export id="dom-mllstmoptions-returnsequence"><code>returnSequence</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean①⑥">boolean</a>, defaulting to <code>false</code></span>
+     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑧⑦">MLOperand</a></code>. Specifies the 3-D initial hidden state tensor of shape [numDirections, batchSize, hiddenSize]. When not specified, implementations SHOULD use a tensor filled with zero.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLstmOptions" data-dfn-type="dict-member" data-export id="dom-mllstmoptions-returnsequence"><code>returnSequence</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean②④">boolean</a>, defaulting to <code>false</code></span>
     <dd data-md>
-     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean①⑦">boolean</a></code> indicating whether to also return the entire sequence with every output from each time step in it in addition to the output of the last time step.</p>
+     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean②⑤">boolean</a></code> indicating whether to also return the entire sequence with every output from each time step in it in addition to the output of the last time step.</p>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLstmOptions" data-dfn-type="dict-member" data-export id="dom-mllstmoptions-direction"><code>direction</code></dfn>, <span> of type <a data-link-type="idl-name" href="#enumdef-mlrecurrentnetworkdirection" id="ref-for-enumdef-mlrecurrentnetworkdirection④">MLRecurrentNetworkDirection</a>, defaulting to <code>"forward"</code></span>
     <dd data-md>
      <p>An <code class="idl"><a data-link-type="idl" href="#enumdef-mlrecurrentnetworkdirection" id="ref-for-enumdef-mlrecurrentnetworkdirection⑤">MLRecurrentNetworkDirection</a></code>. Specifies the processing direction of the input sequence. When set to <code>"both"</code>, the size of the first dimension of the weight and the bias tensor shapes must be 2, and the input is processed in both directions.</p>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLstmOptions" data-dfn-type="dict-member" data-export id="dom-mllstmoptions-layout"><code>layout</code></dfn>, <span> of type <a data-link-type="idl-name" href="#enumdef-mllstmweightlayout" id="ref-for-enumdef-mllstmweightlayout①">MLLstmWeightLayout</a>, defaulting to <code>"iofg"</code></span>
     <dd data-md>
      <p>An <code class="idl"><a data-link-type="idl" href="#enumdef-mllstmweightlayout" id="ref-for-enumdef-mllstmweightlayout②">MLLstmWeightLayout</a></code>. The ordering of the weight and bias vectors for the internal gates of LSTM, specifically the <code>input (i)</code>, <code>output (o)</code>, <code>forget (f)</code>, and <code>cell (g)</code> gate, as indicated in the first dimension of the weight and bias tensor shapes. When not specified, the default layout is <code>"iofg"</code>.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLstmOptions" data-dfn-type="dict-member" data-export id="dom-mllstmoptions-activations"><code>activations</code></dfn>, <span> of type sequence&lt;<a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation③⑧">MLActivation</a>></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLstmOptions" data-dfn-type="dict-member" data-export id="dom-mllstmoptions-activations"><code>activations</code></dfn>, <span> of type sequence&lt;<a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation③⑨">MLActivation</a>></span>
     <dd data-md>
-     <p>A sequence of <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation③⑨">MLActivation</a></code>. A sequence of three activation functions, the first one is used for the <code>input (i)</code>, <code>forget (f)</code>, and <code>output (o)</code> gate, the second one is used for the <code>cell (g)</code> gate, and the last used for filtering the output cell state before combining it with the result of the output gate to form the output hidden state. When not specified, implementations SHOULD use the sequence of the sigmoid function (<code>"sigmoid"</code>) followed by two hyperbolic tangent functions (<code>"tanh"</code>) respectively.</p>
+     <p>A sequence of <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation④⓪">MLActivation</a></code>. A sequence of three activation functions, the first one is used for the <code>input (i)</code>, <code>forget (f)</code>, and <code>output (o)</code> gate, the second one is used for the <code>cell (g)</code> gate, and the last used for filtering the output cell state before combining it with the result of the output gate to form the output hidden state. When not specified, implementations SHOULD use the sequence of the sigmoid function (<code>"sigmoid"</code>) followed by two hyperbolic tangent functions (<code>"tanh"</code>) respectively.</p>
    </dl>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②③①">MLOperand</a></code>. The input 3-D tensor of shape [steps, batchSize, inputSize].</p>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑧⑧">MLOperand</a></code>. The input 3-D tensor of shape [steps, batchSize, inputSize].</p>
      <li data-md>
-      <p><em>weight</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②③②">MLOperand</a></code>. The 3-D input weight tensor of shape [numDirections, 4 * hiddenSize, inputSize]. The ordering of the weight vectors in the second dimension of the tensor shape is specified according to the <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-layout" id="ref-for-dom-mllstmoptions-layout③">layout</a></code>.</p>
+      <p><em>weight</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑧⑨">MLOperand</a></code>. The 3-D input weight tensor of shape [numDirections, 4 * hiddenSize, inputSize]. The ordering of the weight vectors in the second dimension of the tensor shape is specified according to the <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-layout" id="ref-for-dom-mllstmoptions-layout③">layout</a></code>.</p>
      <li data-md>
-      <p><em>recurrentWeight</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②③③">MLOperand</a></code>. The 3-D recurrent weight tensor of shape [numDirections, 4 * hiddenSize, hiddenSize]. The ordering of the weight vectors in the second dimension of the tensor shape is specified according to the <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-layout" id="ref-for-dom-mllstmoptions-layout④">layout</a></code> argument.</p>
+      <p><em>recurrentWeight</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑨⓪">MLOperand</a></code>. The 3-D recurrent weight tensor of shape [numDirections, 4 * hiddenSize, hiddenSize]. The ordering of the weight vectors in the second dimension of the tensor shape is specified according to the <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-layout" id="ref-for-dom-mllstmoptions-layout④">layout</a></code> argument.</p>
      <li data-md>
-      <p><em>steps</em>: an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③⑤">unsigned long</a></code> scalar. The number of time steps in the recurrent network. The value must be greater than 0.</p>
+      <p><em>steps</em>: an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long④④">unsigned long</a></code> scalar. The number of time steps in the recurrent network. The value must be greater than 0.</p>
      <li data-md>
-      <p><em>hiddenSize</em>: an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③⑥">unsigned long</a></code> scalar. The value of the third dimension of the cell output tensor shape. It indicates the number of features in the hidden state.</p>
+      <p><em>hiddenSize</em>: an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long④⑤">unsigned long</a></code> scalar. The value of the third dimension of the cell output tensor shape. It indicates the number of features in the hidden state.</p>
      <li data-md>
       <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mllstmoptions" id="ref-for-dictdef-mllstmoptions②">MLLstmOptions</a></code>. The optional parameters of the operation.</p>
     </ul>
-    <p><strong>Returns:</strong> a sequence of <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②③④">MLOperand</a></code>. The first element of the sequence is a 3-D tensor of shape [numDirections, batchSize, hiddenSize], the output hidden state from the last time step of the network. The second element is a 3-D tensor of shape [numDirections, batchSize, hiddenSize], the output cell state from the last time step of the network. Additionally, if <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-returnsequence" id="ref-for-dom-mllstmoptions-returnsequence①">returnSequence</a></code> is set to true, the third element is the 4-D output tensor of shape [steps, numDirections, batchSize, hiddenSize] containing every output from each time step in the temporal sequence.</p>
+    <p><strong>Returns:</strong> a sequence of <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑨①">MLOperand</a></code>. The first element of the sequence is a 3-D tensor of shape [numDirections, batchSize, hiddenSize], the output hidden state from the last time step of the network. The second element is a 3-D tensor of shape [numDirections, batchSize, hiddenSize], the output cell state from the last time step of the network. Additionally, if <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-returnsequence" id="ref-for-dom-mllstmoptions-returnsequence①">returnSequence</a></code> is set to true, the third element is the 4-D output tensor of shape [steps, numDirections, batchSize, hiddenSize] containing every output from each time step in the temporal sequence.</p>
    </div>
    <details class="algorithm" data-algorithm="lstm(input, weight, recurrentWeight, steps, hiddenSize, options)" data-algorithm-for="MLGraphBuilder" open>
     <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export data-lt="lstm(input, weight, recurrentWeight, steps, hiddenSize, options)|lstm(input, weight, recurrentWeight, steps, hiddenSize)" id="dom-mlgraphbuilder-lstm"><code>lstm(<var>input</var>, <var>weight</var>, <var>recurrentWeight</var>, <var>steps</var>, <var>hiddenSize</var>, <var>options</var>)</code></dfn> method steps are: </summary>
@@ -5200,104 +5912,104 @@ <h4 class="heading settled" data-level="7.6.21" id="api-mlgraphbuilder-lstm"><sp
       <li data-md>
        <p>Let <var>numDirections</var> be 1 if <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-direction" id="ref-for-dom-mllstmoptions-direction①">direction</a></code> is <code>"forward"</code>, or otherwise let it be 2.</p>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert④④">Assert</a>: the type of <var>input</var>, <var>weight</var> and <var>recurrentWeight</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②③⑤">MLOperand</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑤①">Assert</a>: the type of <var>input</var>, <var>weight</var> and <var>recurrentWeight</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑨②">MLOperand</a></code>.</p>
        <div class="note" role="note"> The shape of <var>input</var>, <var>weight</var> or <var>recurrentWeight</var> could be also checked here. </div>
       <li data-md>
-       <p>If <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑤⑤">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑤③">dimensions</a></code>[0] is not equal to <var>steps</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑥②">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror④⑦">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑧⑥">DOMException</a></code>.</p>
+       <p>If <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑥④">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑥③">dimensions</a></code>[0] is not equal to <var>steps</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⓪⑨">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑥①">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⓪⑦">DOMException</a></code>.</p>
       <li data-md>
-       <p>Let <var>batchSize</var> be <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑤⑥">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑤④">dimensions</a></code>[1].</p>
+       <p>Let <var>batchSize</var> be <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑥⑤">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑥④">dimensions</a></code>[1].</p>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-bias" id="ref-for-dom-mllstmoptions-bias①">bias</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists③⑤">exists</a>:</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-bias" id="ref-for-dom-mllstmoptions-bias①">bias</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists③④">exists</a>:</p>
        <ol>
         <li data-md>
-         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert④⑤">Assert</a>: its type is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②③⑥">MLOperand</a></code>.</p>
+         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑤②">Assert</a>: its type is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑨③">MLOperand</a></code>.</p>
         <li data-md>
-         <p>If its rank is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑥③">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror④⑧">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑧⑦">DOMException</a></code>.</p>
+         <p>If its rank is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②①⓪">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑥②">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⓪⑧">DOMException</a></code>.</p>
         <li data-md>
-         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-bias" id="ref-for-dom-mllstmoptions-bias②">bias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑤⑦">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑤⑤">dimensions</a></code>[0] is not <var>numDirections</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑥④">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror④⑨">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑧⑧">DOMException</a></code>.</p>
+         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-bias" id="ref-for-dom-mllstmoptions-bias②">bias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑥⑥">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑥⑤">dimensions</a></code>[0] is not <var>numDirections</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②①①">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑥③">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⓪⑨">DOMException</a></code>.</p>
         <li data-md>
-         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-bias" id="ref-for-dom-mllstmoptions-bias③">bias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑤⑧">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑤⑥">dimensions</a></code>[1] is not 4 * <var>hiddenSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑥⑤">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑤⓪">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑧⑨">DOMException</a></code>.</p>
+         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-bias" id="ref-for-dom-mllstmoptions-bias③">bias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑥⑦">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑥⑥">dimensions</a></code>[1] is not 4 * <var>hiddenSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②①②">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑥④">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①①⓪">DOMException</a></code>.</p>
        </ol>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-recurrentbias" id="ref-for-dom-mllstmoptions-recurrentbias①">recurrentBias</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists③⑥">exists</a>:</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-recurrentbias" id="ref-for-dom-mllstmoptions-recurrentbias①">recurrentBias</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists③⑤">exists</a>:</p>
        <ol>
         <li data-md>
-         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert④⑥">Assert</a>: its type is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②③⑦">MLOperand</a></code>.</p>
+         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑤③">Assert</a>: its type is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑨④">MLOperand</a></code>.</p>
         <li data-md>
-         <p>If its rank is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑥⑥">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑤①">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑨⓪">DOMException</a></code>.</p>
+         <p>If its rank is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②①③">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑥⑤">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①①①">DOMException</a></code>.</p>
         <li data-md>
-         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-recurrentbias" id="ref-for-dom-mllstmoptions-recurrentbias②">recurrentBias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑤⑨">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑤⑦">dimensions</a></code>[0] is not <var>numDirections</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑥⑦">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑤②">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑨①">DOMException</a></code>.</p>
+         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-recurrentbias" id="ref-for-dom-mllstmoptions-recurrentbias②">recurrentBias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑥⑧">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑥⑦">dimensions</a></code>[0] is not <var>numDirections</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②①④">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑥⑥">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①①②">DOMException</a></code>.</p>
         <li data-md>
-         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-recurrentbias" id="ref-for-dom-mllstmoptions-recurrentbias③">recurrentBias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑥⓪">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑤⑧">dimensions</a></code>[1] is not 4 * <var>hiddenSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑥⑧">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑤③">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑨②">DOMException</a></code>.</p>
+         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-recurrentbias" id="ref-for-dom-mllstmoptions-recurrentbias③">recurrentBias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑥⑨">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑥⑧">dimensions</a></code>[1] is not 4 * <var>hiddenSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②①⑤">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑥⑦">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①①③">DOMException</a></code>.</p>
        </ol>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-peepholeweight" id="ref-for-dom-mllstmoptions-peepholeweight①">peepholeWeight</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists③⑦">exists</a>:</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-peepholeweight" id="ref-for-dom-mllstmoptions-peepholeweight①">peepholeWeight</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists③⑥">exists</a>:</p>
        <ol>
         <li data-md>
-         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert④⑦">Assert</a>: its type is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②③⑧">MLOperand</a></code>.</p>
+         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑤④">Assert</a>: its type is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑨⑤">MLOperand</a></code>.</p>
         <li data-md>
-         <p>If its rank is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑥⑨">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑤④">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑨③">DOMException</a></code>.</p>
+         <p>If its rank is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②①⑥">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑥⑧">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①①④">DOMException</a></code>.</p>
         <li data-md>
-         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-peepholeweight" id="ref-for-dom-mllstmoptions-peepholeweight②">peepholeWeight</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑥①">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑤⑨">dimensions</a></code>[0] is not <var>numDirections</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑦⓪">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑤⑤">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑨④">DOMException</a></code>.</p>
+         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-peepholeweight" id="ref-for-dom-mllstmoptions-peepholeweight②">peepholeWeight</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑦⓪">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑥⑨">dimensions</a></code>[0] is not <var>numDirections</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②①⑦">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑥⑨">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①①⑤">DOMException</a></code>.</p>
         <li data-md>
-         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-peepholeweight" id="ref-for-dom-mllstmoptions-peepholeweight③">peepholeWeight</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑥②">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑥⓪">dimensions</a></code>[1] is not 4 * <var>hiddenSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑦①">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑤⑥">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑨⑤">DOMException</a></code>.</p>
+         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-peepholeweight" id="ref-for-dom-mllstmoptions-peepholeweight③">peepholeWeight</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑦①">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑦⓪">dimensions</a></code>[1] is not 4 * <var>hiddenSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②①⑧">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑦⓪">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①①⑥">DOMException</a></code>.</p>
        </ol>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-initialhiddenstate" id="ref-for-dom-mllstmoptions-initialhiddenstate①">initialHiddenState</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists③⑧">exists</a>:</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-initialhiddenstate" id="ref-for-dom-mllstmoptions-initialhiddenstate①">initialHiddenState</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists③⑦">exists</a>:</p>
        <ol>
         <li data-md>
-         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert④⑧">Assert</a>: its type is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②③⑨">MLOperand</a></code>.</p>
+         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑤⑤">Assert</a>: its type is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑨⑥">MLOperand</a></code>.</p>
         <li data-md>
-         <p>If its rank is not 3, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑦②">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑤⑦">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑨⑥">DOMException</a></code>.</p>
+         <p>If its rank is not 3, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②①⑨">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑦①">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①①⑦">DOMException</a></code>.</p>
         <li data-md>
-         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-initialhiddenstate" id="ref-for-dom-mllstmoptions-initialhiddenstate②">initialHiddenState</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑥③">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑥①">dimensions</a></code>[0] is not <var>numDirections</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑦③">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑤⑧">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑨⑦">DOMException</a></code>.</p>
+         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-initialhiddenstate" id="ref-for-dom-mllstmoptions-initialhiddenstate②">initialHiddenState</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑦②">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑦①">dimensions</a></code>[0] is not <var>numDirections</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②②⓪">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑦②">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①①⑧">DOMException</a></code>.</p>
         <li data-md>
-         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-initialhiddenstate" id="ref-for-dom-mllstmoptions-initialhiddenstate③">initialHiddenState</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑥④">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑥②">dimensions</a></code>[1] is not equal to <var>batchSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑦④">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑤⑨">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑨⑧">DOMException</a></code>.</p>
+         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-initialhiddenstate" id="ref-for-dom-mllstmoptions-initialhiddenstate③">initialHiddenState</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑦③">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑦②">dimensions</a></code>[1] is not equal to <var>batchSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②②①">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑦③">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①①⑨">DOMException</a></code>.</p>
         <li data-md>
-         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-initialhiddenstate" id="ref-for-dom-mllstmoptions-initialhiddenstate④">initialHiddenState</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑥⑤">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑥③">dimensions</a></code>[2] is not <var>hiddenSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑦⑤">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑥⓪">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑨⑨">DOMException</a></code>.</p>
+         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-initialhiddenstate" id="ref-for-dom-mllstmoptions-initialhiddenstate④">initialHiddenState</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑦④">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑦③">dimensions</a></code>[2] is not <var>hiddenSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②②②">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑦④">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①②⓪">DOMException</a></code>.</p>
        </ol>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-initialcellstate" id="ref-for-dom-mllstmoptions-initialcellstate①">initialCellState</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists③⑨">exists</a>:</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-initialcellstate" id="ref-for-dom-mllstmoptions-initialcellstate①">initialCellState</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists③⑧">exists</a>:</p>
        <ol>
         <li data-md>
-         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert④⑨">Assert</a>: its type is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②④⓪">MLOperand</a></code>.</p>
+         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑤⑥">Assert</a>: its type is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑨⑦">MLOperand</a></code>.</p>
         <li data-md>
-         <p>If its rank is not 3, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑦⑥">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑥①">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⓪⓪">DOMException</a></code>.</p>
+         <p>If its rank is not 3, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②②③">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑦⑤">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①②①">DOMException</a></code>.</p>
         <li data-md>
-         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-initialcellstate" id="ref-for-dom-mllstmoptions-initialcellstate②">initialCellState</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑥⑥">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑥④">dimensions</a></code>[0] is not <var>numDirections</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑦⑦">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑥②">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⓪①">DOMException</a></code>.</p>
+         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-initialcellstate" id="ref-for-dom-mllstmoptions-initialcellstate②">initialCellState</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑦⑤">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑦④">dimensions</a></code>[0] is not <var>numDirections</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②②④">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑦⑥">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①②②">DOMException</a></code>.</p>
         <li data-md>
-         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-initialcellstate" id="ref-for-dom-mllstmoptions-initialcellstate③">initialCellState</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑥⑦">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑥⑤">dimensions</a></code>[1] is not equal to <var>batchSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑦⑧">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑥③">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⓪②">DOMException</a></code>.</p>
+         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-initialcellstate" id="ref-for-dom-mllstmoptions-initialcellstate③">initialCellState</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑦⑥">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑦⑤">dimensions</a></code>[1] is not equal to <var>batchSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②②⑤">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑦⑦">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①②③">DOMException</a></code>.</p>
         <li data-md>
-         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-initialcellstate" id="ref-for-dom-mllstmoptions-initialcellstate④">initialCellState</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑥⑧">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑥⑥">dimensions</a></code>[2] is not <var>hiddenSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑦⑨">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑥④">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⓪③">DOMException</a></code>.</p>
+         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-initialcellstate" id="ref-for-dom-mllstmoptions-initialcellstate④">initialCellState</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑦⑦">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑦⑥">dimensions</a></code>[2] is not <var>hiddenSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②②⑥">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑦⑧">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①②④">DOMException</a></code>.</p>
        </ol>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-activations" id="ref-for-dom-mllstmoptions-activations①">activations</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists④⓪">exists</a>:</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-activations" id="ref-for-dom-mllstmoptions-activations①">activations</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists③⑨">exists</a>:</p>
        <ol>
         <li data-md>
-         <p>If its <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size③④">size</a> is not 3, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑧⓪">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror③⑥">TypeError</a></code>.</p>
+         <p>If its <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size③⑤">size</a> is not 3, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②②⑦">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror③⑥">TypeError</a></code>.</p>
         <li data-md>
-         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑤⓪">Assert</a>: the type of its elements is <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation④⓪">MLActivation</a></code>.</p>
+         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑤⑦">Assert</a>: the type of its elements is <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation④①">MLActivation</a></code>.</p>
        </ol>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑧①">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror③⓪">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⓪④">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②②⑧">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror③⑦">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①②⑤">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>desc</var> a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①⑨">MLOperandDescriptor</a></code>.</p>
+         <p>Let <var>desc</var> a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor②⓪">MLOperandDescriptor</a></code>.</p>
         <li data-md>
-         <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑥⑦">dimensions</a></code> to [ <var>numDirections</var>, <var>batchSize</var>, <var>hiddenSize</var> ].</p>
+         <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑦⑦">dimensions</a></code> to [ <var>numDirections</var>, <var>batchSize</var>, <var>hiddenSize</var> ].</p>
         <li data-md>
-         <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②⑨">dataType</a></code> to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑥⑨">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype③⓪">dataType</a></code>.</p>
+         <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype③⑥">dataType</a></code> to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑦⑧">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype③⑦">dataType</a></code>.</p>
         <li data-md>
-         <p>Let <var>output0</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand①⓪">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this②④">this</a> and <var>desc</var>.</p>
+         <p>Let <var>output0</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand①⑥">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this②⑨">this</a> and <var>desc</var>.</p>
         <li data-md>
-         <p>Let <var>output1</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand①①">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this②⑤">this</a> and <var>desc</var>.</p>
+         <p>Let <var>output1</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand①⑦">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this③⓪">this</a> and <var>desc</var>.</p>
         <li data-md>
-         <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑥⑧">dimensions</a></code> to [ <var>steps</var>, <var>numDirections</var>, <var>batchSize</var>, <var>hiddenSize</var> ].</p>
+         <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑦⑧">dimensions</a></code> to [ <var>steps</var>, <var>numDirections</var>, <var>batchSize</var>, <var>hiddenSize</var> ].</p>
         <li data-md>
          <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-returnsequence" id="ref-for-dom-mllstmoptions-returnsequence②">returnSequence</a></code> is set to true:</p>
          <ol>
           <li data-md>
-           <p>Let <var>output2</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand①②">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this②⑥">this</a> and <var>desc</var>.</p>
+           <p>Let <var>output2</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand①⑧">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this③①">this</a> and <var>desc</var>.</p>
           <li data-md>
            <p>Let <var>output</var> be the array [ <var>output0</var>, <var>output1</var>, <var>output2</var> ].</p>
          </ol>
@@ -5307,16 +6019,16 @@ <h4 class="heading settled" data-level="7.6.21" id="api-mlgraphbuilder-lstm"><sp
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined④⓪">implementation-defined</a> platform operator for the LSTM operation, given <var>weight</var>, <var>recurrentWeight</var>, <var>steps</var>, <var>hiddenSize</var> and <var>options</var>.</p>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑤②">implementation-defined</a> platform operator for the LSTM operation, given <var>weight</var>, <var>recurrentWeight</var>, <var>steps</var>, <var>hiddenSize</var> and <var>options</var>.</p>
           <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>output0</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot①⑤">[[operator]]</a></code>, <var>output1</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot①⑥">[[operator]]</a></code> and <var>output2</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot①⑦">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>opImpl</var> in <var>output0</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot②①">[[operator]]</a></code>, <var>output1</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot②②">[[operator]]</a></code> and <var>output2</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot②③">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined④①">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑤③">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output0</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot④⑧">[[operand]]</a></code>, <var>output1</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot④⑨">[[operand]]</a></code> and <var>output2</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑤⓪">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output0</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑥⑧">[[operand]]</a></code>, <var>output1</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑥⑨">[[operand]]</a></code> and <var>output2</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑦⓪">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑤①">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑦①">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
         <li data-md>
          <p>Connect <var>output</var> as output to <var>opImpl</var>.</p>
        </ol>
@@ -5328,7 +6040,11 @@ <h4 class="heading settled" data-level="7.6.21" id="api-mlgraphbuilder-lstm"><sp
    <div class="note" role="note">
     <details open>
      <summary> The behavior of this operation can be generically emulated from the usage of other operations as follow. However, user agents typically have a more efficient implementation for it, therefore its usage is encouraged from the performance standpoint. </summary>
-<pre class="highlight"><c- a>const</c-> numDirections <c- o>=</c-> <c- p>(</c->options<c- p>.</c->direction <c- o>==</c-> <c- u>"both"</c-> <c- o>?</c-> <c- mf>2</c-> <c- o>:</c-> <c- mf>1</c-><c- p>);</c->
+<pre class="highlight"><c- a>function</c-> squeeze<c- p>(</c->builder<c- p>,</c-> op<c- p>)</c-> <c- p>{</c->
+  <c- k>return</c-> builder<c- p>.</c->reshape<c- p>(</c->op<c- p>,</c-> op<c- p>.</c->shape<c- p>().</c->remove<c- p>(</c-><c- mf>0</c-><c- p>));</c->
+<c- p>}</c->
+
+<c- a>const</c-> numDirections <c- o>=</c-> <c- p>(</c->options<c- p>.</c->direction <c- o>==</c-> <c- u>"both"</c-> <c- o>?</c-> <c- mf>2</c-> <c- o>:</c-> <c- mf>1</c-><c- p>);</c->
 <c- a>let</c-> hiddenState <c- o>=</c-> options<c- p>.</c->initialHiddenState<c- p>;</c->
 <c- a>let</c-> cellState <c- o>=</c-> options<c- p>.</c->initialCellState<c- p>;</c->
 
@@ -5352,13 +6068,13 @@ <h4 class="heading settled" data-level="7.6.21" id="api-mlgraphbuilder-lstm"><sp
 <c- a>let</c-> currentPeepholeWeight <c- o>=</c-> <c- p>[];</c->
 
 <c- k>for</c-> <c- p>(</c-><c- a>let</c-> dir <c- o>=</c-> <c- mf>0</c-><c- p>;</c-> dir <c- o>&lt;</c-> numDirections<c- p>;</c-> <c- o>++</c->dir<c- p>)</c-> <c- p>{</c->
-  currentWeight<c- p>.</c->push<c- p>(</c->builder<c- p>.</c->squeeze<c- p>(</c->builder<c- p>.</c->slice<c- p>(</c->weight<c- p>,</c-> <c- p>[</c->dir<c- p>,</c-> <c- mf>0</c-><c- p>,</c-> <c- mf>0</c-><c- p>],</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-> <c- mf>4</c-> <c- o>*</c-> hiddenSize<c- p>,</c-> inputSize<c- p>]),</c-> <c- p>{</c-> axes<c- o>:</c-> <c- p>[</c-><c- mf>0</c-><c- p>]</c-> <c- p>}));</c->
-  currentRecurrentWeight<c- p>.</c->push<c- p>(</c->builder<c- p>.</c->squeeze<c- p>(</c->builder<c- p>.</c->slice<c- p>(</c->recurrentWeight<c- p>,</c-> <c- p>[</c->dir<c- p>,</c-> <c- mf>0</c-><c- p>,</c-> <c- mf>0</c-><c- p>],</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-> <c- mf>4</c-> <c- o>*</c-> hiddenSize<c- p>,</c-> hiddenSize<c- p>]),</c-> <c- p>{</c-> axes<c- o>:</c-> <c- p>[</c-><c- mf>0</c-><c- p>]</c-> <c- p>}));</c->
-  currentBias<c- p>.</c->push<c- p>(</c->options<c- p>.</c->bias <c- o>?</c-> <c- p>(</c->builder<c- p>.</c->squeeze<c- p>(</c->builder<c- p>.</c->slice<c- p>(</c->options<c- p>.</c->bias<c- p>,</c-> <c- p>[</c->dir<c- p>,</c-> <c- mf>0</c-><c- p>],</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-> <c- mf>4</c-> <c- o>*</c-> hiddenSize<c- p>]),</c-> <c- p>{</c-> axes<c- o>:</c-> <c- p>[</c-><c- mf>0</c-><c- p>]</c-> <c- p>}))</c-> <c- o>:</c-> <c- kc>null</c-><c- p>);</c->
+  currentWeight<c- p>.</c->push<c- p>(</c->squeeze<c- p>(</c->builder<c- p>,</c-> builder<c- p>.</c->slice<c- p>(</c->weight<c- p>,</c-> <c- p>[</c->dir<c- p>,</c-> <c- mf>0</c-><c- p>,</c-> <c- mf>0</c-><c- p>],</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-> <c- mf>4</c-> <c- o>*</c-> hiddenSize<c- p>,</c-> inputSize<c- p>])));</c->
+  currentRecurrentWeight<c- p>.</c->push<c- p>(</c->squeeze<c- p>(</c->builder<c- p>,</c-> builder<c- p>.</c->slice<c- p>(</c->recurrentWeight<c- p>,</c-> <c- p>[</c->dir<c- p>,</c-> <c- mf>0</c-><c- p>,</c-> <c- mf>0</c-><c- p>],</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-> <c- mf>4</c-> <c- o>*</c-> hiddenSize<c- p>,</c-> hiddenSize<c- p>])));</c->
+  currentBias<c- p>.</c->push<c- p>(</c->options<c- p>.</c->bias <c- o>?</c-> <c- p>(</c->squeeze<c- p>(</c->builder<c- p>,</c-> builder<c- p>.</c->slice<c- p>(</c->options<c- p>.</c->bias<c- p>,</c-> <c- p>[</c->dir<c- p>,</c-> <c- mf>0</c-><c- p>],</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-> <c- mf>4</c-> <c- o>*</c-> hiddenSize<c- p>])))</c-> <c- o>:</c-> <c- kc>null</c-><c- p>);</c->
   currentRecurrentBias<c- p>.</c->push<c- p>(</c->options<c- p>.</c->recurrentBias <c- o>?</c->
-    <c- p>(</c->builder<c- p>.</c->squeeze<c- p>(</c->builder<c- p>.</c->slice<c- p>(</c->options<c- p>.</c->recurrentBias<c- p>,</c-> <c- p>[</c->dir<c- p>,</c-> <c- mf>0</c-><c- p>],</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-> <c- mf>4</c-> <c- o>*</c-> hiddenSize<c- p>]),</c-> <c- p>{</c-> axes<c- o>:</c-> <c- p>[</c-><c- mf>0</c-><c- p>]</c-> <c- p>}))</c-> <c- o>:</c-> <c- kc>null</c-><c- p>);</c->
+    <c- p>(</c->squeeze<c- p>(</c->builder<c- p>,</c-> builder<c- p>.</c->slice<c- p>(</c->options<c- p>.</c->recurrentBias<c- p>,</c-> <c- p>[</c->dir<c- p>,</c-> <c- mf>0</c-><c- p>],</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-> <c- mf>4</c-> <c- o>*</c-> hiddenSize<c- p>])))</c-> <c- o>:</c-> <c- kc>null</c-><c- p>);</c->
   currentPeepholeWeight<c- p>.</c->push<c- p>(</c->options<c- p>.</c->peepholeWeight <c- o>?</c->
-    <c- p>(</c->builder<c- p>.</c->squeeze<c- p>(</c->builder<c- p>.</c->slice<c- p>(</c->options<c- p>.</c->peepholeWeight<c- p>,</c-> <c- p>[</c->dir<c- p>,</c-> <c- mf>0</c-><c- p>],</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-> <c- mf>3</c-> <c- o>*</c-> hiddenSize<c- p>]),</c-> <c- p>{</c-> axes<c- o>:</c-> <c- p>[</c-><c- mf>0</c-><c- p>]</c-> <c- p>}))</c-> <c- o>:</c-> <c- kc>null</c-><c- p>);</c->
+    <c- p>(</c->squeeze<c- p>(</c->builder<c- p>,</c-> builder<c- p>.</c->slice<c- p>(</c->options<c- p>.</c->peepholeWeight<c- p>,</c-> <c- p>[</c->dir<c- p>,</c-> <c- mf>0</c-><c- p>],</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-> <c- mf>3</c-> <c- o>*</c-> hiddenSize<c- p>])))</c-> <c- o>:</c-> <c- kc>null</c-><c- p>);</c->
 <c- p>}</c->
 
 <c- k>for</c-> <c- p>(</c-><c- a>let</c-> step <c- o>=</c-> <c- mf>0</c-><c- p>;</c-> step <c- o>&lt;</c-> steps<c- p>;</c-> <c- o>++</c->step<c- p>)</c-> <c- p>{</c->
@@ -5368,13 +6084,13 @@ <h4 class="heading settled" data-level="7.6.21" id="api-mlgraphbuilder-lstm"><sp
   <c- a>let</c-> nextCell <c- o>=</c-> <c- kc>null</c-><c- p>;</c->
 
   <c- k>for</c-> <c- p>(</c-><c- a>let</c-> dir <c- o>=</c-> <c- mf>0</c-><c- p>;</c-> dir <c- o>&lt;</c-> numDirections<c- p>;</c-> <c- o>++</c->dir<c- p>)</c-> <c- p>{</c->
-    currentHidden<c- p>.</c->push<c- p>(</c->builder<c- p>.</c->squeeze<c- p>(</c->builder<c- p>.</c->slice<c- p>(</c->hiddenState<c- p>,</c-> <c- p>[</c->dir<c- p>,</c-> <c- mf>0</c-><c- p>,</c-> <c- mf>0</c-><c- p>],</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-> batchSize<c- p>,</c-> hiddenSize<c- p>]),</c-> <c- p>{</c-> axes<c- o>:</c-> <c- p>[</c-><c- mf>0</c-><c- p>]</c-> <c- p>}));</c->
-    currentCell<c- p>.</c->push<c- p>(</c->builder<c- p>.</c->squeeze<c- p>(</c->builder<c- p>.</c->slice<c- p>(</c->cellState<c- p>,</c-> <c- p>[</c->dir<c- p>,</c-> <c- mf>0</c-><c- p>,</c-> <c- mf>0</c-><c- p>],</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-> batchSize<c- p>,</c-> hiddenSize<c- p>]),</c-> <c- p>{</c-> axes<c- o>:</c-> <c- p>[</c-><c- mf>0</c-><c- p>]</c-> <c- p>}));</c->
+    currentHidden<c- p>.</c->push<c- p>(</c->squeeze<c- p>(</c->builder<c- p>,</c-> builder<c- p>.</c->slice<c- p>(</c->hiddenState<c- p>,</c-> <c- p>[</c->dir<c- p>,</c-> <c- mf>0</c-><c- p>,</c-> <c- mf>0</c-><c- p>],</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-> batchSize<c- p>,</c-> hiddenSize<c- p>])));</c->
+    currentCell<c- p>.</c->push<c- p>(</c->squeeze<c- p>(</c->builder<c- p>,</c-> builder<c- p>.</c->slice<c- p>(</c->cellState<c- p>,</c-> <c- p>[</c->dir<c- p>,</c-> <c- mf>0</c-><c- p>,</c-> <c- mf>0</c-><c- p>],</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-> batchSize<c- p>,</c-> hiddenSize<c- p>])));</c->
   <c- p>}</c->
 
   <c- k>for</c-> <c- p>(</c-><c- a>let</c-> dir <c- o>=</c-> <c- mf>0</c-><c- p>;</c-> dir <c- o>&lt;</c-> numDirections<c- p>;</c-> <c- o>++</c->dir<c- p>)</c-> <c- p>{</c->
     <c- a>let</c-> slice <c- o>=</c-> <c- p>(</c->dir <c- o>==</c-> <c- mf>1</c-> <c- o>||</c-> options<c- p>.</c->direction <c- o>==</c-> <c- u>"backward"</c-> <c- o>?</c-> steps <c- o>-</c-> step <c- o>-</c-> <c- mf>1</c-> <c- o>:</c-> step<c- p>);</c->
-    <c- a>let</c-> currentInput <c- o>=</c-> builder<c- p>.</c->squeeze<c- p>(</c->builder<c- p>.</c->slice<c- p>(</c->input<c- p>,</c-> <c- p>[</c->slice<c- p>,</c-> <c- mf>0</c-><c- p>,</c-> <c- mf>0</c-><c- p>],</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-> batchSize<c- p>,</c-> inputSize<c- p>]),</c-> <c- p>{</c-> axes<c- o>:</c-> <c- p>[</c-><c- mf>0</c-><c- p>]</c-> <c- p>});</c->
+    <c- a>let</c-> currentInput <c- o>=</c-> squeeze<c- p>(</c->builder<c- p>,</c-> builder<c- p>.</c->slice<c- p>(</c->input<c- p>,</c-> <c- p>[</c->slice<c- p>,</c-> <c- mf>0</c-><c- p>,</c-> <c- mf>0</c-><c- p>],</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-> batchSize<c- p>,</c-> inputSize<c- p>]));</c->
 
     <c- a>let</c-> results <c- o>=</c-> builder<c- p>.</c->lstmCell<c- p>(</c->
       currentInput<c- p>,</c-> currentWeight<c- p>[</c->dir<c- p>],</c-> currentRecurrentWeight<c- p>[</c->dir<c- p>],</c->
@@ -5402,137 +6118,137 @@ <h4 class="heading settled" data-level="7.6.21" id="api-mlgraphbuilder-lstm"><sp
 </pre>
     </details>
    </div>
-   <h4 class="heading settled" data-level="7.6.22" id="api-mlgraphbuilder-lstmcell"><span class="secno">7.6.22. </span><span class="content">The lstmCell() method</span><a class="self-link" href="#api-mlgraphbuilder-lstmcell"></a></h4>
+   <h4 class="heading settled" data-level="7.7.28" id="api-mlgraphbuilder-lstmcell"><span class="secno">7.7.28. </span><span class="content">lstmCell</span><a class="self-link" href="#api-mlgraphbuilder-lstmcell"></a></h4>
     A single time step of the Long Short-Term Memory <a data-link-type="biblio" href="#biblio-lstm" title="Long Short-Term Memory">[LSTM]</a> recurrent network using a cell state, an input, output, and forget gate to compute the cell state and the hidden state of the next time step that rolls into the output across the temporal sequence of the network. 
 <pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mllstmcelloptions"><code><c- g>MLLstmCellOptions</c-></code></dfn> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②④①"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mllstmcelloptions-bias" id="ref-for-dom-mllstmcelloptions-bias"><c- g>bias</c-></a>;
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②④②"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mllstmcelloptions-recurrentbias" id="ref-for-dom-mllstmcelloptions-recurrentbias"><c- g>recurrentBias</c-></a>;
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②④③"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mllstmcelloptions-peepholeweight" id="ref-for-dom-mllstmcelloptions-peepholeweight"><c- g>peepholeWeight</c-></a>;
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑨⑧"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mllstmcelloptions-bias" id="ref-for-dom-mllstmcelloptions-bias"><c- g>bias</c-></a>;
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑨⑨"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mllstmcelloptions-recurrentbias" id="ref-for-dom-mllstmcelloptions-recurrentbias"><c- g>recurrentBias</c-></a>;
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⓪⓪"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mllstmcelloptions-peepholeweight" id="ref-for-dom-mllstmcelloptions-peepholeweight"><c- g>peepholeWeight</c-></a>;
   <a data-link-type="idl-name" href="#enumdef-mllstmweightlayout" id="ref-for-enumdef-mllstmweightlayout③"><c- n>MLLstmWeightLayout</c-></a> <a class="idl-code" data-default="&quot;iofg&quot;" data-link-type="dict-member" data-type="MLLstmWeightLayout " href="#dom-mllstmcelloptions-layout" id="ref-for-dom-mllstmcelloptions-layout"><c- g>layout</c-></a> = "iofg";
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①⑤"><c- b>sequence</c-></a>&lt;<a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation④①"><c- n>MLActivation</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<MLActivation> " href="#dom-mllstmcelloptions-activations" id="ref-for-dom-mllstmcelloptions-activations"><c- g>activations</c-></a>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①⑦"><c- b>sequence</c-></a>&lt;<a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation④②"><c- n>MLActivation</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<MLActivation> " href="#dom-mllstmcelloptions-activations" id="ref-for-dom-mllstmcelloptions-activations"><c- g>activations</c-></a>;
 };
 
-<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder④⓪"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①⑥"><c- b>sequence</c-></a>&lt;<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②④④"><c- n>MLOperand</c-></a>> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-lstmcell" id="ref-for-dom-mlgraphbuilder-lstmcell"><c- g>lstmCell</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②④⑤"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize, options), MLGraphBuilder/lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-lstmcell-input-weight-recurrentweight-hiddenstate-cellstate-hiddensize-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-lstmcell-input-weight-recurrentweight-hiddenstate-cellstate-hiddensize-options-input"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②④⑥"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize, options), MLGraphBuilder/lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-lstmcell-input-weight-recurrentweight-hiddenstate-cellstate-hiddensize-options-weight"><code><c- g>weight</c-></code><a class="self-link" href="#dom-mlgraphbuilder-lstmcell-input-weight-recurrentweight-hiddenstate-cellstate-hiddensize-options-weight"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②④⑦"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize, options), MLGraphBuilder/lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-lstmcell-input-weight-recurrentweight-hiddenstate-cellstate-hiddensize-options-recurrentweight"><code><c- g>recurrentWeight</c-></code><a class="self-link" href="#dom-mlgraphbuilder-lstmcell-input-weight-recurrentweight-hiddenstate-cellstate-hiddensize-options-recurrentweight"></a></dfn>,
-                               <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②④⑧"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize, options), MLGraphBuilder/lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-lstmcell-input-weight-recurrentweight-hiddenstate-cellstate-hiddensize-options-hiddenstate"><code><c- g>hiddenState</c-></code><a class="self-link" href="#dom-mlgraphbuilder-lstmcell-input-weight-recurrentweight-hiddenstate-cellstate-hiddensize-options-hiddenstate"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②④⑨"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize, options), MLGraphBuilder/lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-lstmcell-input-weight-recurrentweight-hiddenstate-cellstate-hiddensize-options-cellstate"><code><c- g>cellState</c-></code><a class="self-link" href="#dom-mlgraphbuilder-lstmcell-input-weight-recurrentweight-hiddenstate-cellstate-hiddensize-options-cellstate"></a></dfn>, <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③⑦"><c- b>unsigned</c-> <c- b>long</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize, options), MLGraphBuilder/lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-lstmcell-input-weight-recurrentweight-hiddenstate-cellstate-hiddensize-options-hiddensize"><code><c- g>hiddenSize</c-></code><a class="self-link" href="#dom-mlgraphbuilder-lstmcell-input-weight-recurrentweight-hiddenstate-cellstate-hiddensize-options-hiddensize"></a></dfn>,
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder④③"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①⑧"><c- b>sequence</c-></a>&lt;<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⓪①"><c- n>MLOperand</c-></a>> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-lstmcell" id="ref-for-dom-mlgraphbuilder-lstmcell"><c- g>lstmCell</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⓪②"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize, options), MLGraphBuilder/lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-lstmcell-input-weight-recurrentweight-hiddenstate-cellstate-hiddensize-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-lstmcell-input-weight-recurrentweight-hiddenstate-cellstate-hiddensize-options-input"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⓪③"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize, options), MLGraphBuilder/lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-lstmcell-input-weight-recurrentweight-hiddenstate-cellstate-hiddensize-options-weight"><code><c- g>weight</c-></code><a class="self-link" href="#dom-mlgraphbuilder-lstmcell-input-weight-recurrentweight-hiddenstate-cellstate-hiddensize-options-weight"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⓪④"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize, options), MLGraphBuilder/lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-lstmcell-input-weight-recurrentweight-hiddenstate-cellstate-hiddensize-options-recurrentweight"><code><c- g>recurrentWeight</c-></code><a class="self-link" href="#dom-mlgraphbuilder-lstmcell-input-weight-recurrentweight-hiddenstate-cellstate-hiddensize-options-recurrentweight"></a></dfn>,
+                               <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⓪⑤"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize, options), MLGraphBuilder/lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-lstmcell-input-weight-recurrentweight-hiddenstate-cellstate-hiddensize-options-hiddenstate"><code><c- g>hiddenState</c-></code><a class="self-link" href="#dom-mlgraphbuilder-lstmcell-input-weight-recurrentweight-hiddenstate-cellstate-hiddensize-options-hiddenstate"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⓪⑥"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize, options), MLGraphBuilder/lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-lstmcell-input-weight-recurrentweight-hiddenstate-cellstate-hiddensize-options-cellstate"><code><c- g>cellState</c-></code><a class="self-link" href="#dom-mlgraphbuilder-lstmcell-input-weight-recurrentweight-hiddenstate-cellstate-hiddensize-options-cellstate"></a></dfn>, <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long④⑥"><c- b>unsigned</c-> <c- b>long</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize, options), MLGraphBuilder/lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-lstmcell-input-weight-recurrentweight-hiddenstate-cellstate-hiddensize-options-hiddensize"><code><c- g>hiddenSize</c-></code><a class="self-link" href="#dom-mlgraphbuilder-lstmcell-input-weight-recurrentweight-hiddenstate-cellstate-hiddensize-options-hiddensize"></a></dfn>,
                                <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mllstmcelloptions" id="ref-for-dictdef-mllstmcelloptions"><c- n>MLLstmCellOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize, options), MLGraphBuilder/lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-lstmcell-input-weight-recurrentweight-hiddenstate-cellstate-hiddensize-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-lstmcell-input-weight-recurrentweight-hiddenstate-cellstate-hiddensize-options-options"></a></dfn> = {});
 };
 </pre>
    <p><code class="idl"><a data-link-type="idl" href="#dictdef-mllstmcelloptions" id="ref-for-dictdef-mllstmcelloptions①">MLLstmCellOptions</a></code> has the following members:</p>
    <dl>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLstmCellOptions" data-dfn-type="dict-member" data-export id="dom-mllstmcelloptions-bias"><code>bias</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑤⓪">MLOperand</a></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLstmCellOptions" data-dfn-type="dict-member" data-export id="dom-mllstmcelloptions-bias"><code>bias</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⓪⑦">MLOperand</a></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑤①">MLOperand</a></code>. The 1-D input bias tensor of shape [4 * hiddenSize]. The ordering of the bias vectors in the first dimension of the tensor shape is specified according to the <code class="idl"><a data-link-type="idl" href="#dom-mllstmcelloptions-layout" id="ref-for-dom-mllstmcelloptions-layout①">layout</a></code> argument.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLstmCellOptions" data-dfn-type="dict-member" data-export id="dom-mllstmcelloptions-recurrentbias"><code>recurrentBias</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑤②">MLOperand</a></span>
+     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⓪⑧">MLOperand</a></code>. The 1-D input bias tensor of shape [4 * hiddenSize]. The ordering of the bias vectors in the first dimension of the tensor shape is specified according to the <code class="idl"><a data-link-type="idl" href="#dom-mllstmcelloptions-layout" id="ref-for-dom-mllstmcelloptions-layout①">layout</a></code> argument.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLstmCellOptions" data-dfn-type="dict-member" data-export id="dom-mllstmcelloptions-recurrentbias"><code>recurrentBias</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⓪⑨">MLOperand</a></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑤③">MLOperand</a></code>. The 1-D recurrent bias tensor of shape [4 * hiddenSize]. The ordering of the bias vectors in the first dimension of the tensor shape is specified according to the <code class="idl"><a data-link-type="idl" href="#dom-mllstmcelloptions-layout" id="ref-for-dom-mllstmcelloptions-layout②">layout</a></code> argument.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLstmCellOptions" data-dfn-type="dict-member" data-export id="dom-mllstmcelloptions-peepholeweight"><code>peepholeWeight</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑤④">MLOperand</a></span>
+     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③①⓪">MLOperand</a></code>. The 1-D recurrent bias tensor of shape [4 * hiddenSize]. The ordering of the bias vectors in the first dimension of the tensor shape is specified according to the <code class="idl"><a data-link-type="idl" href="#dom-mllstmcelloptions-layout" id="ref-for-dom-mllstmcelloptions-layout②">layout</a></code> argument.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLstmCellOptions" data-dfn-type="dict-member" data-export id="dom-mllstmcelloptions-peepholeweight"><code>peepholeWeight</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③①①">MLOperand</a></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑤⑤">MLOperand</a></code>. The 1-D weight tensor for peepholes of shape [3 * hiddenSize]. The pack ordering of the weight vectors is for the <code>input (i)</code>, <code>output (o)</code>, and <code>forget (f)</code> gate, respectively.</p>
+     <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③①②">MLOperand</a></code>. The 1-D weight tensor for peepholes of shape [3 * hiddenSize]. The pack ordering of the weight vectors is for the <code>input (i)</code>, <code>output (o)</code>, and <code>forget (f)</code> gate, respectively.</p>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLstmCellOptions" data-dfn-type="dict-member" data-export id="dom-mllstmcelloptions-layout"><code>layout</code></dfn>, <span> of type <a data-link-type="idl-name" href="#enumdef-mllstmweightlayout" id="ref-for-enumdef-mllstmweightlayout④">MLLstmWeightLayout</a>, defaulting to <code>"iofg"</code></span>
     <dd data-md>
      <p>An <code class="idl"><a data-link-type="idl" href="#enumdef-mllstmweightlayout" id="ref-for-enumdef-mllstmweightlayout⑤">MLLstmWeightLayout</a></code>. The ordering of the weight and bias vectors for the internal gates of LSTM, specifically the <code>input (i)</code>, <code>output (o)</code>, <code>forget (f)</code>, and <code>cell (g)</code> gate, as indicated in the first dimension of the weight and bias tensor shapes. When not specified, the default layout is <code>"iofg"</code>.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLstmCellOptions" data-dfn-type="dict-member" data-export id="dom-mllstmcelloptions-activations"><code>activations</code></dfn>, <span> of type sequence&lt;<a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation④②">MLActivation</a>></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLstmCellOptions" data-dfn-type="dict-member" data-export id="dom-mllstmcelloptions-activations"><code>activations</code></dfn>, <span> of type sequence&lt;<a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation④③">MLActivation</a>></span>
     <dd data-md>
-     <p>A sequence of <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation④③">MLActivation</a></code>. A sequence of three activation functions, the first one is used for the <code>input (i)</code>, <code>forget (f)</code>, and <code>output (o)</code> gate, the second one is used for the <code>cell (g)</code> gate, and the last used for filtering the output cell state before combining it with the result of the output gate to form the output hidden state. When not specified, they are assumed to be of the sigmoid function (<code>"sigmoid"</code>) followed by two hyperbolic tangent functions (<code>"tanh"</code>) respectively.</p>
+     <p>A sequence of <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation④④">MLActivation</a></code>. A sequence of three activation functions, the first one is used for the <code>input (i)</code>, <code>forget (f)</code>, and <code>output (o)</code> gate, the second one is used for the <code>cell (g)</code> gate, and the last used for filtering the output cell state before combining it with the result of the output gate to form the output hidden state. When not specified, they are assumed to be of the sigmoid function (<code>"sigmoid"</code>) followed by two hyperbolic tangent functions (<code>"tanh"</code>) respectively.</p>
    </dl>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑤⑥">MLOperand</a></code>. The input 2-D tensor of shape [batchSize, inputSize].</p>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③①③">MLOperand</a></code>. The input 2-D tensor of shape [batchSize, inputSize].</p>
      <li data-md>
-      <p><em>weight</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑤⑦">MLOperand</a></code>. The 2-D input weight tensor of shape [4 * hiddenSize, inputSize]. The ordering of the weight vectors in the first dimension of the tensor shape is specified according to the <em>options.layout</em> argument.</p>
+      <p><em>weight</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③①④">MLOperand</a></code>. The 2-D input weight tensor of shape [4 * hiddenSize, inputSize]. The ordering of the weight vectors in the first dimension of the tensor shape is specified according to the <em>options.layout</em> argument.</p>
      <li data-md>
-      <p><em>recurrentWeight</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑤⑧">MLOperand</a></code>. The 2-D recurrent weight tensor of shape [4 * hiddenSize, hiddenSize]. The ordering of the weight vectors in the first dimension of the tensor shape is specified according to the <em>options.layout</em> argument.</p>
+      <p><em>recurrentWeight</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③①⑤">MLOperand</a></code>. The 2-D recurrent weight tensor of shape [4 * hiddenSize, hiddenSize]. The ordering of the weight vectors in the first dimension of the tensor shape is specified according to the <em>options.layout</em> argument.</p>
      <li data-md>
-      <p><em>hiddenState</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑤⑨">MLOperand</a></code>. The 2-D input hidden state tensor of shape [batchSize, hiddenSize].</p>
+      <p><em>hiddenState</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③①⑥">MLOperand</a></code>. The 2-D input hidden state tensor of shape [batchSize, hiddenSize].</p>
      <li data-md>
-      <p><em>cellState</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑥⓪">MLOperand</a></code>. The 2-D input cell state tensor of shape [batchSize, hiddenSize].</p>
+      <p><em>cellState</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③①⑦">MLOperand</a></code>. The 2-D input cell state tensor of shape [batchSize, hiddenSize].</p>
      <li data-md>
-      <p><em>hiddenSize</em>: an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③⑧">unsigned long</a></code> scalar. The value of the second dimension of the output tensor shape. It indicates the number of features in the hidden state.</p>
+      <p><em>hiddenSize</em>: an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long④⑦">unsigned long</a></code> scalar. The value of the second dimension of the output tensor shape. It indicates the number of features in the hidden state.</p>
      <li data-md>
       <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mllstmcelloptions" id="ref-for-dictdef-mllstmcelloptions②">MLLstmCellOptions</a></code>. The optional parameters of the operation.</p>
     </ul>
-    <p><strong>Returns:</strong> a sequence of <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑥①">MLOperand</a></code>. The first element of the sequence is the output hidden state of the current time step of the recurrent network. The following element is the output cell state. Both elements are 2-D tensors of shape [batchSize, hiddenSize].</p>
+    <p><strong>Returns:</strong> a sequence of <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③①⑧">MLOperand</a></code>. The first element of the sequence is the output hidden state of the current time step of the recurrent network. The following element is the output cell state. Both elements are 2-D tensors of shape [batchSize, hiddenSize].</p>
    </div>
    <details class="algorithm" data-algorithm="lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize, options)" data-algorithm-for="MLGraphBuilder" open>
     <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export data-lt="lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize, options)|lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize)" id="dom-mlgraphbuilder-lstmcell"><code>lstmCell(<var>input</var>, <var>weight</var>, <var>recurrentWeight</var>, <var>hiddenState</var>, <var>cellState</var>, <var>hiddenSize</var>, <var>options</var>)</code></dfn> method steps are: </summary>
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑤①">Assert</a>: the type of <var>input</var>, <var>weight</var>, <var>recurrentWeight</var>, <var>hiddenState</var> and <var>cellState</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑥②">MLOperand</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑤⑧">Assert</a>: the type of <var>input</var>, <var>weight</var>, <var>recurrentWeight</var>, <var>hiddenState</var> and <var>cellState</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③①⑨">MLOperand</a></code>.</p>
       <li data-md>
-       <p>If the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank①③">rank</a> of <var>input</var>, <var>weight</var>, <var>recurrentWeight</var>, <var>hiddenState</var> or <var>cellState</var> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑧②">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑥⑤">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⓪⑤">DOMException</a></code>.</p>
+       <p>If the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank②⑤">rank</a> of <var>input</var>, <var>weight</var>, <var>recurrentWeight</var>, <var>hiddenState</var> or <var>cellState</var> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②②⑨">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑦⑨">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①②⑥">DOMException</a></code>.</p>
       <li data-md>
-       <p>Let <var>batchSize</var> be <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑦⓪">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑥⑨">dimensions</a></code>[0].</p>
+       <p>Let <var>batchSize</var> be <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑦⑨">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑦⑨">dimensions</a></code>[0].</p>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmcelloptions-bias" id="ref-for-dom-mllstmcelloptions-bias①">bias</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists④①">exists</a>:</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmcelloptions-bias" id="ref-for-dom-mllstmcelloptions-bias①">bias</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists④⓪">exists</a>:</p>
        <ol>
         <li data-md>
-         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑤②">Assert</a>: its type is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑥③">MLOperand</a></code>.</p>
+         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑤⑨">Assert</a>: its type is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③②⓪">MLOperand</a></code>.</p>
         <li data-md>
-         <p>If its rank is not 1, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑧③">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑥⑥">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⓪⑥">DOMException</a></code>.</p>
+         <p>If its rank is not 1, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②③⓪">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑧⓪">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①②⑦">DOMException</a></code>.</p>
         <li data-md>
-         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmcelloptions-bias" id="ref-for-dom-mllstmcelloptions-bias②">bias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑦①">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑦⓪">dimensions</a></code>[0] is not 4 * <var>hiddenSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑧④">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑥⑦">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⓪⑦">DOMException</a></code>.</p>
+         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmcelloptions-bias" id="ref-for-dom-mllstmcelloptions-bias②">bias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑧⓪">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑧⓪">dimensions</a></code>[0] is not 4 * <var>hiddenSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②③①">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑧①">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①②⑧">DOMException</a></code>.</p>
        </ol>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmcelloptions-recurrentbias" id="ref-for-dom-mllstmcelloptions-recurrentbias①">recurrentBias</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists④②">exists</a>:</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmcelloptions-recurrentbias" id="ref-for-dom-mllstmcelloptions-recurrentbias①">recurrentBias</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists④①">exists</a>:</p>
        <ol>
         <li data-md>
-         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑤③">Assert</a>: its type is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑥④">MLOperand</a></code>.</p>
+         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑥⓪">Assert</a>: its type is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③②①">MLOperand</a></code>.</p>
         <li data-md>
-         <p>If its rank is not 1, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑧⑤">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑥⑧">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⓪⑧">DOMException</a></code>.</p>
+         <p>If its rank is not 1, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②③②">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑧②">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①②⑨">DOMException</a></code>.</p>
         <li data-md>
-         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmcelloptions-recurrentbias" id="ref-for-dom-mllstmcelloptions-recurrentbias②">recurrentBias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑦②">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑦①">dimensions</a></code>[0] is not 4 * <var>hiddenSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑧⑥">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑥⑨">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⓪⑨">DOMException</a></code>.</p>
+         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmcelloptions-recurrentbias" id="ref-for-dom-mllstmcelloptions-recurrentbias②">recurrentBias</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑧①">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑧①">dimensions</a></code>[0] is not 4 * <var>hiddenSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②③③">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑧③">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①③⓪">DOMException</a></code>.</p>
        </ol>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmcelloptions-peepholeweight" id="ref-for-dom-mllstmcelloptions-peepholeweight①">peepholeWeight</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists④③">exists</a>:</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmcelloptions-peepholeweight" id="ref-for-dom-mllstmcelloptions-peepholeweight①">peepholeWeight</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists④②">exists</a>:</p>
        <ol>
         <li data-md>
-         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑤④">Assert</a>: its type is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑥⑤">MLOperand</a></code>.</p>
+         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑥①">Assert</a>: its type is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③②②">MLOperand</a></code>.</p>
         <li data-md>
-         <p>If its rank is not 1, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑧⑦">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑦⓪">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①①⓪">DOMException</a></code>.</p>
+         <p>If its rank is not 1, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②③④">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑧④">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①③①">DOMException</a></code>.</p>
         <li data-md>
-         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmcelloptions-peepholeweight" id="ref-for-dom-mllstmcelloptions-peepholeweight②">peepholeWeight</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑦③">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑦②">dimensions</a></code>[0] is not 3 * <var>hiddenSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑧⑧">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑦①">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①①①">DOMException</a></code>.</p>
+         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmcelloptions-peepholeweight" id="ref-for-dom-mllstmcelloptions-peepholeweight②">peepholeWeight</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑧②">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑧②">dimensions</a></code>[0] is not 3 * <var>hiddenSize</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②③⑤">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑧⑤">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①③②">DOMException</a></code>.</p>
        </ol>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmcelloptions-activations" id="ref-for-dom-mllstmcelloptions-activations①">activations</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists④④">exists</a>:</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmcelloptions-activations" id="ref-for-dom-mllstmcelloptions-activations①">activations</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists④③">exists</a>:</p>
        <ol>
         <li data-md>
-         <p>If its <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size③⑤">size</a> is not 3, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑧⑨">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror③⑦">TypeError</a></code>.</p>
+         <p>If its <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size③⑥">size</a> is not 3, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②③⑥">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror③⑦">TypeError</a></code>.</p>
         <li data-md>
-         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑤⑤">Assert</a>: the type of its elements is <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation④④">MLActivation</a></code>.</p>
+         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑥②">Assert</a>: the type of its elements is <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation④⑤">MLActivation</a></code>.</p>
        </ol>
       <li data-md>
-       <p>Let <var>desc</var> a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor②⓪">MLOperandDescriptor</a></code>.</p>
+       <p>Let <var>desc</var> a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor②①">MLOperandDescriptor</a></code>.</p>
       <li data-md>
-       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑦③">dimensions</a></code> to [ <var>batchSize</var>, <var>hiddenSize</var> ].</p>
+       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑧③">dimensions</a></code> to [ <var>batchSize</var>, <var>hiddenSize</var> ].</p>
       <li data-md>
-       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype③①">dataType</a></code> to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑦④">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype③②">dataType</a></code>.</p>
+       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype③⑧">dataType</a></code> to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑧③">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype③⑨">dataType</a></code>.</p>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑨⓪">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror③①">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①①②">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②③⑦">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror③⑧">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①③③">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>output0</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand①③">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this②⑦">this</a> and <var>desc</var>.</p>
+         <p>Let <var>output0</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand①⑨">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this③②">this</a> and <var>desc</var>.</p>
         <li data-md>
-         <p>Let <var>output1</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand①④">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this②⑧">this</a> and <var>desc</var>.</p>
+         <p>Let <var>output1</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand②⓪">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this③③">this</a> and <var>desc</var>.</p>
         <li data-md>
          <p>Let <var>output</var> be the array [ <var>output0</var>, <var>output1</var> ].</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined④②">implementation-defined</a> platform operator for the LSTM cell operation, given <var>weight</var>, <var>recurrentWeight</var>, <var>hiddenState</var>, <var>cellState</var>, <var>hiddenSize</var> and <var>options</var>.</p>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑤④">implementation-defined</a> platform operator for the LSTM cell operation, given <var>weight</var>, <var>recurrentWeight</var>, <var>hiddenState</var>, <var>cellState</var>, <var>hiddenSize</var> and <var>options</var>.</p>
           <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>output0</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot①⑧">[[operator]]</a></code> and <var>output1</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot①⑨">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>opImpl</var> in <var>output0</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot②④">[[operator]]</a></code> and <var>output1</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot②⑤">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined④③">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑤⑤">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output0</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑤②">[[operand]]</a></code> and <var>output1</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑤③">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output0</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑦②">[[operand]]</a></code> and <var>output1</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑦③">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑤④">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑦④">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
         <li data-md>
          <p>Connect <var>output</var> as output to <var>opImpl</var>.</p>
        </ol>
@@ -5654,21 +6370,21 @@ <h4 class="heading settled" data-level="7.6.22" id="api-mlgraphbuilder-lstmcell"
 </pre>
     </details>
    </div>
-   <h4 class="heading settled" data-level="7.6.23" id="api-mlgraphbuilder-matmul"><span class="secno">7.6.23. </span><span class="content">The matmul() method</span><a class="self-link" href="#api-mlgraphbuilder-matmul"></a></h4>
+   <h4 class="heading settled" data-level="7.7.29" id="api-mlgraphbuilder-matmul"><span class="secno">7.7.29. </span><span class="content">matmul</span><a class="self-link" href="#api-mlgraphbuilder-matmul"></a></h4>
     Compute the matrix product of two input tensors. 
-<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder④①"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑥⑥"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-matmul" id="ref-for-dom-mlgraphbuilder-matmul"><c- g>matmul</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑥⑦"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/matmul(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-matmul-a-b-a"><code><c- g>a</c-></code><a class="self-link" href="#dom-mlgraphbuilder-matmul-a-b-a"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑥⑧"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/matmul(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-matmul-a-b-b"><code><c- g>b</c-></code><a class="self-link" href="#dom-mlgraphbuilder-matmul-a-b-b"></a></dfn>);
+<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder④④"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③②③"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-matmul" id="ref-for-dom-mlgraphbuilder-matmul"><c- g>matmul</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③②④"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/matmul(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-matmul-a-b-a"><code><c- g>a</c-></code><a class="self-link" href="#dom-mlgraphbuilder-matmul-a-b-a"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③②⑤"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/matmul(a, b)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-matmul-a-b-b"><code><c- g>b</c-></code><a class="self-link" href="#dom-mlgraphbuilder-matmul-a-b-b"></a></dfn>);
 };
 </pre>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>a</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑥⑨">MLOperand</a></code>. The first N-dimensional input tensor.</p>
+      <p><em>a</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③②⑥">MLOperand</a></code>. The first N-dimensional input tensor.</p>
      <li data-md>
-      <p><em>b</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑦⓪">MLOperand</a></code>. The second N-dimensional input tensor.</p>
+      <p><em>b</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③②⑦">MLOperand</a></code>. The second N-dimensional input tensor.</p>
     </ul>
-    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑦①">MLOperand</a></code>. The output tensor that contains the matrix
+    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③②⑧">MLOperand</a></code>. The output tensor that contains the matrix
     product of two input tensors.</p>
    </div>
    <div>
@@ -5678,7 +6394,7 @@ <h4 class="heading settled" data-level="7.6.23" id="api-mlgraphbuilder-matmul"><
       <p>If both <em>a</em> and <em>b</em> are 2-dimensional, they are multiplied like conventional
 matrices and produce a 2-dimensional tensor as the output.</p>
      <li data-md>
-      <p>If either <em>a</em> or <em>b</em> is <code>N</code>-dimensional where <code>N > 2</code>, it is treated as a stack of matrices with dimensions corresponding to the last two indices. The matrix multiplication will be broadcasted accordingly by following the <a data-link-type="biblio" href="#biblio-numpy-broadcasting-rule" title="General Broadcasting Rules of NumPy">[numpy-broadcasting-rule]</a>. The output is a <code>N</code>-dimensional tensor whose rank is the maximum <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank①④">rank</a> of the input tensors. For each dimension, except the last two, of the output tensor, its size is the maximum size along that dimension of the input tensors.</p>
+      <p>If either <em>a</em> or <em>b</em> is <code>N</code>-dimensional where <code>N > 2</code>, it is treated as a stack of matrices with dimensions corresponding to the last two indices. The matrix multiplication will be broadcasted accordingly by following the <a data-link-type="biblio" href="#biblio-numpy-broadcasting-rule" title="General Broadcasting Rules of NumPy">[numpy-broadcasting-rule]</a>. The output is a <code>N</code>-dimensional tensor whose rank is the maximum <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank②⑥">rank</a> of the input tensors. For each dimension, except the last two, of the output tensor, its size is the maximum size along that dimension of the input tensors.</p>
      <li data-md>
       <p>If <em>a</em> is 1-dimensional, it is converted to a 2-dimensional tensor by prepending a 1 to its dimensions.</p>
      <li data-md>
@@ -5692,23 +6408,23 @@ <h4 class="heading settled" data-level="7.6.23" id="api-mlgraphbuilder-matmul"><
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p>Let <var>shapeA</var> be <var>a</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑦⑤">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑦④">dimensions</a></code> and <var>sizeA</var> the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size③⑥">size</a> of <var>shapeA</var>.</p>
+       <p>Let <var>shapeA</var> be <var>a</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑧④">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑧④">dimensions</a></code> and <var>sizeA</var> the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size③⑦">size</a> of <var>shapeA</var>.</p>
       <li data-md>
-       <p>Let <var>shapeB</var> be <var>b</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑦⑥">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑦⑤">dimensions</a></code> and <var>sizeB</var> the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size③⑦">size</a> of <var>shapeB</var>.</p>
+       <p>Let <var>shapeB</var> be <var>b</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑧⑤">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑧⑤">dimensions</a></code> and <var>sizeB</var> the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size③⑧">size</a> of <var>shapeB</var>.</p>
       <li data-md>
        <p>If <var>sizeA</var> and <var>sizeB</var> is 1, return <code>«  1  »</code>.</p>
       <li data-md>
        <p>If <var>sizeA</var> is 1 and <var>sizeB</var> is not, then insert 1 in the front of <var>shapeA</var> to become [ 1 | <var>shapeA</var> ] and let <var>sizeA</var> be 2.</p>
       <li data-md>
-       <p>If <var>shapeA</var>[0] is not equal to <var>shapeB</var>[<var>sizeB</var> - 2], then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑨①">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror③②">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①①③">DOMException</a></code>.</p>
+       <p>If <var>shapeA</var>[0] is not equal to <var>shapeB</var>[<var>sizeB</var> - 2], then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②③⑧">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror③⑨">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①③④">DOMException</a></code>.</p>
       <li data-md>
        <p>If <var>sizeB</var> is 1 and <var>sizeA</var> is not, then append 1 to <var>shapeB</var> to become [ <var>shapeB</var> | 1 ] and let <var>sizeB</var> be 2.</p>
       <li data-md>
-       <p>If <var>shapeA</var>[<var>sizeA</var> - 1] is not equal to <var>shapeB</var>[0], then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑨②">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror③③">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①①④">DOMException</a></code>.</p>
+       <p>If <var>shapeA</var>[<var>sizeA</var> - 1] is not equal to <var>shapeB</var>[0], then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②③⑨">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror④⓪">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①③⑤">DOMException</a></code>.</p>
       <li data-md>
        <p>Let <var>shape</var> be an array whose size <var>size</var> is the maximum of <var>sizeA</var> and <var>sizeB</var>.</p>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate①③">For each</a> <var>index</var> in <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#the-range" id="ref-for-the-range③">the range</a> 0 to <var>size</var>, exclusive:</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate①⑨">For each</a> <var>index</var> in <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#the-range" id="ref-for-the-range⑦">the range</a> 0 to <var>size</var>, exclusive:</p>
       <li data-md>
        <p>Set <var>shape</var>[<var>index</var>] to the maximum of <var>shapeA</var>[<var>index</var>] and <var>shapeB</var>[<var>index</var>].</p>
       <li data-md>
@@ -5721,43 +6437,43 @@ <h4 class="heading settled" data-level="7.6.23" id="api-mlgraphbuilder-matmul"><
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑤⑥">Assert</a>: the type of <var>a</var> and <var>b</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑦②">MLOperand</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑥③">Assert</a>: the type of <var>a</var> and <var>b</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③②⑨">MLOperand</a></code>.</p>
       <li data-md>
-       <p>Let <var>desc</var> a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor②①">MLOperandDescriptor</a></code>.</p>
+       <p>Let <var>desc</var> a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor②②">MLOperandDescriptor</a></code>.</p>
       <li data-md>
-       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑦⑥">dimensions</a></code> to the result of invoking the <a data-link-type="dfn" href="#mlgraphbuilder-calculate-matmul-output-sizes" id="ref-for-mlgraphbuilder-calculate-matmul-output-sizes">calculate matmul output sizes</a> steps given <var>a</var> and <var>b</var>.</p>
+       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑧⑥">dimensions</a></code> to the result of invoking the <a data-link-type="dfn" href="#mlgraphbuilder-calculate-matmul-output-sizes" id="ref-for-mlgraphbuilder-calculate-matmul-output-sizes">calculate matmul output sizes</a> steps given <var>a</var> and <var>b</var>.</p>
       <li data-md>
-       <p>If that throws an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑨③">throw</a> the error.</p>
+       <p>If that throws an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②④⓪">throw</a> the error.</p>
       <li data-md>
-       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype③③">dataType</a></code> to <var>a</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑦⑦">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype③④">dataType</a></code>.</p>
+       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype④⓪">dataType</a></code> to <var>a</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑧⑥">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype④①">dataType</a></code>.</p>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑨④">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror③④">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①①⑤">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②④①">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror④①">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①③⑥">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand①⑤">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this②⑨">this</a> and <var>desc</var>.</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand②①">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this③④">this</a> and <var>desc</var>.</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined④④">implementation-defined</a> platform operator for the matrix multiplication operation.</p>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑤⑥">implementation-defined</a> platform operator for the matrix multiplication operation.</p>
           <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot②⓪">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot②⑥">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined④⑤">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑤⑦">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑤⑤">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑦⑤">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>a</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑤⑥">[[operand]]</a></code> and <var>b</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑤⑦">[[operand]]</a></code> as inputs to <var>opImpl</var>.</p>
+         <p>Connect <var>a</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑦⑥">[[operand]]</a></code> and <var>b</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑦⑦">[[operand]]</a></code> as inputs to <var>opImpl</var>.</p>
         <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑤⑧">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑦⑧">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.6.24" id="api-mlgraphbuilder-pad"><span class="secno">7.6.24. </span><span class="content">The pad() method</span><a class="self-link" href="#api-mlgraphbuilder-pad"></a></h4>
+   <h4 class="heading settled" data-level="7.7.30" id="api-mlgraphbuilder-pad"><span class="secno">7.7.30. </span><span class="content">pad</span><a class="self-link" href="#api-mlgraphbuilder-pad"></a></h4>
     Inflate the tensor with constant or mirrored values on the edges. 
 <pre class="idl highlight def"><c- b>enum</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="enum" data-export id="enumdef-mlpaddingmode"><code><c- g>MLPaddingMode</c-></code></dfn> {
   <dfn class="idl-code" data-dfn-for="MLPaddingMode" data-dfn-type="enum-value" data-export id="dom-mlpaddingmode-constant"><code><c- s>"constant"</c-></code><a class="self-link" href="#dom-mlpaddingmode-constant"></a></dfn>,
@@ -5768,13 +6484,13 @@ <h4 class="heading settled" data-level="7.6.24" id="api-mlgraphbuilder-pad"><spa
 
 <c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlpadoptions"><code><c- g>MLPadOptions</c-></code></dfn> {
   <a data-link-type="idl-name" href="#enumdef-mlpaddingmode" id="ref-for-enumdef-mlpaddingmode"><c- n>MLPaddingMode</c-></a> <a class="idl-code" data-default="&quot;constant&quot;" data-link-type="dict-member" data-type="MLPaddingMode " href="#dom-mlpadoptions-mode" id="ref-for-dom-mlpadoptions-mode"><c- g>mode</c-></a> = "constant";
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③⑥"><c- b>float</c-></a> <a class="idl-code" data-default="0" data-link-type="dict-member" data-type="float " href="#dom-mlpadoptions-value" id="ref-for-dom-mlpadoptions-value"><c- g>value</c-></a> = 0;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float④③"><c- b>float</c-></a> <a class="idl-code" data-default="0" data-link-type="dict-member" data-type="float " href="#dom-mlpadoptions-value" id="ref-for-dom-mlpadoptions-value"><c- g>value</c-></a> = 0;
 };
 
-<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder④②"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑦③"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-pad" id="ref-for-dom-mlgraphbuilder-pad"><c- g>pad</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑦④"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/pad(input, beginningPadding, endingPadding, options), MLGraphBuilder/pad(input, beginningPadding, endingPadding)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-pad-input-beginningpadding-endingpadding-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-pad-input-beginningpadding-endingpadding-options-input"></a></dfn>,
-                <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①⑦"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③⑨"><c- b>unsigned</c-> <c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/pad(input, beginningPadding, endingPadding, options), MLGraphBuilder/pad(input, beginningPadding, endingPadding)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-pad-input-beginningpadding-endingpadding-options-beginningpadding"><code><c- g>beginningPadding</c-></code><a class="self-link" href="#dom-mlgraphbuilder-pad-input-beginningpadding-endingpadding-options-beginningpadding"></a></dfn>,
-                <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①⑧"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long④⓪"><c- b>unsigned</c-> <c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/pad(input, beginningPadding, endingPadding, options), MLGraphBuilder/pad(input, beginningPadding, endingPadding)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-pad-input-beginningpadding-endingpadding-options-endingpadding"><code><c- g>endingPadding</c-></code><a class="self-link" href="#dom-mlgraphbuilder-pad-input-beginningpadding-endingpadding-options-endingpadding"></a></dfn>,
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder④⑤"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③③⓪"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-pad" id="ref-for-dom-mlgraphbuilder-pad"><c- g>pad</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③③①"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/pad(input, beginningPadding, endingPadding, options), MLGraphBuilder/pad(input, beginningPadding, endingPadding)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-pad-input-beginningpadding-endingpadding-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-pad-input-beginningpadding-endingpadding-options-input"></a></dfn>,
+                <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①⑨"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long④⑧"><c- b>unsigned</c-> <c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/pad(input, beginningPadding, endingPadding, options), MLGraphBuilder/pad(input, beginningPadding, endingPadding)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-pad-input-beginningpadding-endingpadding-options-beginningpadding"><code><c- g>beginningPadding</c-></code><a class="self-link" href="#dom-mlgraphbuilder-pad-input-beginningpadding-endingpadding-options-beginningpadding"></a></dfn>,
+                <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②⓪"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long④⑨"><c- b>unsigned</c-> <c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/pad(input, beginningPadding, endingPadding, options), MLGraphBuilder/pad(input, beginningPadding, endingPadding)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-pad-input-beginningpadding-endingpadding-options-endingpadding"><code><c- g>endingPadding</c-></code><a class="self-link" href="#dom-mlgraphbuilder-pad-input-beginningpadding-endingpadding-options-endingpadding"></a></dfn>,
                 <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlpadoptions" id="ref-for-dictdef-mlpadoptions"><c- n>MLPadOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/pad(input, beginningPadding, endingPadding, options), MLGraphBuilder/pad(input, beginningPadding, endingPadding)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-pad-input-beginningpadding-endingpadding-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-pad-input-beginningpadding-endingpadding-options-options"></a></dfn> = {});
 };
 </pre>
@@ -5782,12 +6498,12 @@ <h4 class="heading settled" data-level="7.6.24" id="api-mlgraphbuilder-pad"><spa
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLPadOptions" data-dfn-type="dict-member" data-export id="dom-mlpadoptions-mode"><code>mode</code></dfn>, <span> of type <a data-link-type="idl-name" href="#enumdef-mlpaddingmode" id="ref-for-enumdef-mlpaddingmode①">MLPaddingMode</a>, defaulting to <code>"constant"</code></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#enumdef-mlpaddingmode" id="ref-for-enumdef-mlpaddingmode②">MLPaddingMode</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string①⓪">string</a>.
+     <p>An <code class="idl"><a data-link-type="idl" href="#enumdef-mlpaddingmode" id="ref-for-enumdef-mlpaddingmode②">MLPaddingMode</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string⑨">string</a>.
 Specifies the different ways to pad the tensor.
 The default value is <code>"constant"</code>.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLPadOptions" data-dfn-type="dict-member" data-export id="dom-mlpadoptions-value"><code>value</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③⑦">float</a>, defaulting to <code>0</code></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLPadOptions" data-dfn-type="dict-member" data-export id="dom-mlpadoptions-value"><code>value</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float④④">float</a>, defaulting to <code>0</code></span>
     <dd data-md>
-     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③⑧">float</a></code>.
+     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float④⑤">float</a></code>.
 Specifies the padding value when <code class="idl"><a data-link-type="idl" href="#dom-mlpadoptions-mode" id="ref-for-dom-mlpadoptions-mode①">mode</a></code> is set to <code>"constant"</code>.
 The default value is 0.</p>
    </dl>
@@ -5795,15 +6511,15 @@ <h4 class="heading settled" data-level="7.6.24" id="api-mlgraphbuilder-pad"><spa
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑦⑤">MLOperand</a></code>. The input tensor.</p>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③③②">MLOperand</a></code>. The input tensor.</p>
      <li data-md>
-      <p><em>beginningPadding</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long④①">unsigned long</a></code>. The sequence of unsigned integer values indicating the number of padding values to add at the beginning of each input dimension, of length <em>N</em> where <em>N</em> is the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank①⑤">rank</a> of the input tensor. For each dimension <em>d</em> of <em>input</em>, <em>beginningPadding[d]</em> indicates how many values to add before the content in that dimension.</p>
+      <p><em>beginningPadding</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑤⓪">unsigned long</a></code>. The sequence of unsigned integer values indicating the number of padding values to add at the beginning of each input dimension, of length <em>N</em> where <em>N</em> is the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank②⑦">rank</a> of the input tensor. For each dimension <em>d</em> of <em>input</em>, <em>beginningPadding[d]</em> indicates how many values to add before the content in that dimension.</p>
      <li data-md>
-      <p><em>endingPadding</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long④②">unsigned long</a></code>. The sequence of unsigned integer values indicating the number of padding values to add at the ending of each input dimension, of length <em>N</em> where <em>N</em> is the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank①⑥">rank</a> of the input tensor. For each dimension <em>d</em> of <em>input</em>, <em>endingPadding[d]</em> indicates how many values to add after the content in that dimension.</p>
+      <p><em>endingPadding</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑤①">unsigned long</a></code>. The sequence of unsigned integer values indicating the number of padding values to add at the ending of each input dimension, of length <em>N</em> where <em>N</em> is the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank②⑧">rank</a> of the input tensor. For each dimension <em>d</em> of <em>input</em>, <em>endingPadding[d]</em> indicates how many values to add after the content in that dimension.</p>
      <li data-md>
       <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlpadoptions" id="ref-for-dictdef-mlpadoptions②">MLPadOptions</a></code>. The optional parameters of the operation.</p>
     </ul>
-    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑦⑥">MLOperand</a></code>. The padded output tensor. Each dimension of the output tensor can be calculated as follow:</p>
+    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③③③">MLOperand</a></code>. The padded output tensor. Each dimension of the output tensor can be calculated as follow:</p>
     <p><em>output size = beginning padding + input size + ending padding</em></p>
    </div>
    <details class="algorithm" data-algorithm="calculate padding output sizes" data-algorithm-for="MLGraphBuilder" open>
@@ -5811,9 +6527,9 @@ <h4 class="heading settled" data-level="7.6.24" id="api-mlgraphbuilder-pad"><spa
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p>Let <var>shape</var> be a copy of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑦⑧">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑦⑦">dimensions</a></code>.</p>
+       <p>Let <var>shape</var> be a copy of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑧⑦">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑧⑦">dimensions</a></code>.</p>
       <li data-md>
-       <p>For <var>index</var> in <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#the-range" id="ref-for-the-range④">the range</a> 0 to the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank①⑦">rank</a> of <var>shape</var>, exclusive:</p>
+       <p>For <var>index</var> in <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#the-range" id="ref-for-the-range⑧">the range</a> 0 to the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank②⑨">rank</a> of <var>shape</var>, exclusive:</p>
        <ol>
         <li data-md>
          <p>Add to <var>shape</var>[<var>index</var>] the value of <var>beginningPadding</var>[<var>index</var>].</p>
@@ -5830,34 +6546,34 @@ <h4 class="heading settled" data-level="7.6.24" id="api-mlgraphbuilder-pad"><spa
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑤⑦">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑦⑦">MLOperand</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑥④">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③③④">MLOperand</a></code>.</p>
       <li data-md>
-       <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size③⑧">size</a> of <var>beginningPadding</var> and <var>endingPadding</var> is not equal to the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank①⑧">rank</a> of <var>input</var>, then then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑨⑤">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror③⑧">TypeError</a></code>".</p>
+       <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size③⑨">size</a> of <var>beginningPadding</var> and <var>endingPadding</var> is not equal to the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank③⓪">rank</a> of <var>input</var>, then then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②④②">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror③⑧">TypeError</a></code>".</p>
       <li data-md>
-       <p>Let <var>desc</var> be a copy of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑦⑨">[[descriptor]]</a></code>.</p>
+       <p>Let <var>desc</var> be a copy of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑧⑧">[[descriptor]]</a></code>.</p>
       <li data-md>
-       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑦⑧">dimensions</a></code> to the result of invoking the <a data-link-type="dfn" href="#mlgraphbuilder-calculate-padding-output-sizes" id="ref-for-mlgraphbuilder-calculate-padding-output-sizes">calculate padding output sizes</a> steps given <var>input</var>, <var>beginningPadding</var> and <var>endingPadding</var>.</p>
+       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑧⑧">dimensions</a></code> to the result of invoking the <a data-link-type="dfn" href="#mlgraphbuilder-calculate-padding-output-sizes" id="ref-for-mlgraphbuilder-calculate-padding-output-sizes">calculate padding output sizes</a> steps given <var>input</var>, <var>beginningPadding</var> and <var>endingPadding</var>.</p>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑨⑥">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror③⑤">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①①⑥">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②④③">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror④②">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①③⑦">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand①⑥">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this③⓪">this</a> and <var>desc</var>.</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand②②">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this③⑤">this</a> and <var>desc</var>.</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined④⑥">implementation-defined</a> platform operator for the padding operation, given <var>beginningPadding</var>, <var>endingPadding</var> and <var>options</var>.</p>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑤⑧">implementation-defined</a> platform operator for the padding operation, given <var>beginningPadding</var>, <var>endingPadding</var> and <var>options</var>.</p>
           <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot②①">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot②⑦">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined④⑦">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑤⑨">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑤⑨">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑦⑨">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑥⓪">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑧⓪">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
         <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑥①">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑧①">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
@@ -5905,76 +6621,54 @@ <h4 class="heading settled" data-level="7.6.24" id="api-mlgraphbuilder-pad"><spa
 </pre>
     </details>
    </div>
-   <h4 class="heading settled" data-level="7.6.25" id="api-mlgraphbuilder-pool2d"><span class="secno">7.6.25. </span><span class="content">Pooling operations</span><a class="self-link" href="#api-mlgraphbuilder-pool2d"></a></h4>
-    Compute a <em>mean</em>, <em>L2 norm</em>, or <em>max</em> reduction operation across all the elements within the moving window over the input tensor. See the description of each type of reduction in <a href="#api-mlgraphbuilder-reduce">§ 7.6.27 Reduction operations</a>. 
+   <h4 class="heading settled" data-level="7.7.31" id="api-mlgraphbuilder-pool2d"><span class="secno">7.7.31. </span><span class="content">Pooling operations</span><a class="self-link" href="#api-mlgraphbuilder-pool2d"></a></h4>
+    Compute a pooling operation across all the elements within the moving window over the input tensor. 
 <pre class="idl highlight def"><c- b>enum</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="enum" data-export id="enumdef-mlroundingtype"><code><c- g>MLRoundingType</c-></code></dfn> {
   <dfn class="idl-code" data-dfn-for="MLRoundingType" data-dfn-type="enum-value" data-export id="dom-mlroundingtype-floor"><code><c- s>"floor"</c-></code><a class="self-link" href="#dom-mlroundingtype-floor"></a></dfn>,
   <dfn class="idl-code" data-dfn-for="MLRoundingType" data-dfn-type="enum-value" data-export id="dom-mlroundingtype-ceil"><code><c- s>"ceil"</c-></code><a class="self-link" href="#dom-mlroundingtype-ceil"></a></dfn>
 };
 
 <c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlpool2doptions"><code><c- g>MLPool2dOptions</c-></code></dfn> {
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①⑨"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long④③"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlpool2doptions-windowdimensions" id="ref-for-dom-mlpool2doptions-windowdimensions"><c- g>windowDimensions</c-></a>;
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②⓪"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long④④"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlpool2doptions-padding" id="ref-for-dom-mlpool2doptions-padding"><c- g>padding</c-></a>;
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②①"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long④⑤"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlpool2doptions-strides" id="ref-for-dom-mlpool2doptions-strides"><c- g>strides</c-></a>;
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②②"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long④⑥"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlpool2doptions-dilations" id="ref-for-dom-mlpool2doptions-dilations"><c- g>dilations</c-></a>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②①"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑤②"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlpool2doptions-windowdimensions" id="ref-for-dom-mlpool2doptions-windowdimensions"><c- g>windowDimensions</c-></a>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②②"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑤③"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlpool2doptions-padding" id="ref-for-dom-mlpool2doptions-padding"><c- g>padding</c-></a>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②③"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑤④"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlpool2doptions-strides" id="ref-for-dom-mlpool2doptions-strides"><c- g>strides</c-></a>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②④"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑤⑤"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlpool2doptions-dilations" id="ref-for-dom-mlpool2doptions-dilations"><c- g>dilations</c-></a>;
   <a data-link-type="idl-name" href="#enumdef-mlautopad" id="ref-for-enumdef-mlautopad⑥"><c- n>MLAutoPad</c-></a> <a class="idl-code" data-default="&quot;explicit&quot;" data-link-type="dict-member" data-type="MLAutoPad " href="#dom-mlpool2doptions-autopad" id="ref-for-dom-mlpool2doptions-autopad"><c- g>autoPad</c-></a> = "explicit";
   <a data-link-type="idl-name" href="#enumdef-mlinputoperandlayout" id="ref-for-enumdef-mlinputoperandlayout⑨"><c- n>MLInputOperandLayout</c-></a> <a class="idl-code" data-default="&quot;nchw&quot;" data-link-type="dict-member" data-type="MLInputOperandLayout " href="#dom-mlpool2doptions-layout" id="ref-for-dom-mlpool2doptions-layout"><c- g>layout</c-></a> = "nchw";
   <a data-link-type="idl-name" href="#enumdef-mlroundingtype" id="ref-for-enumdef-mlroundingtype"><c- n>MLRoundingType</c-></a> <a class="idl-code" data-default="&quot;floor&quot;" data-link-type="dict-member" data-type="MLRoundingType " href="#dom-mlpool2doptions-roundingtype" id="ref-for-dom-mlpool2doptions-roundingtype"><c- g>roundingType</c-></a> = "floor";
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②③"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long④⑦"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlpool2doptions-outputsizes" id="ref-for-dom-mlpool2doptions-outputsizes"><c- g>outputSizes</c-></a>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②⑤"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑤⑥"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlpool2doptions-outputsizes" id="ref-for-dom-mlpool2doptions-outputsizes"><c- g>outputSizes</c-></a>;
 };
 
-<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder④③"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑦⑧"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-averagepool2d" id="ref-for-dom-mlgraphbuilder-averagepool2d"><c- g>averagePool2d</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑦⑨"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/averagePool2d(input, options), MLGraphBuilder/averagePool2d(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-averagepool2d-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-averagepool2d-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlpool2doptions" id="ref-for-dictdef-mlpool2doptions"><c- n>MLPool2dOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/averagePool2d(input, options), MLGraphBuilder/averagePool2d(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-averagepool2d-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-averagepool2d-input-options-options"></a></dfn> = {});
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑧⓪"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-l2pool2d" id="ref-for-dom-mlgraphbuilder-l2pool2d"><c- g>l2Pool2d</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑧①"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/l2Pool2d(input, options), MLGraphBuilder/l2Pool2d(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-l2pool2d-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-l2pool2d-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlpool2doptions" id="ref-for-dictdef-mlpool2doptions①"><c- n>MLPool2dOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/l2Pool2d(input, options), MLGraphBuilder/l2Pool2d(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-l2pool2d-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-l2pool2d-input-options-options"></a></dfn> = {});
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑧②"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-maxpool2d" id="ref-for-dom-mlgraphbuilder-maxpool2d"><c- g>maxPool2d</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑧③"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/maxPool2d(input, options), MLGraphBuilder/maxPool2d(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-maxpool2d-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-maxpool2d-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlpool2doptions" id="ref-for-dictdef-mlpool2doptions②"><c- n>MLPool2dOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/maxPool2d(input, options), MLGraphBuilder/maxPool2d(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-maxpool2d-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-maxpool2d-input-options-options"></a></dfn> = {});
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder④⑥"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③③⑤"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-averagepool2d" id="ref-for-dom-mlgraphbuilder-averagepool2d"><c- g>averagePool2d</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③③⑥"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/averagePool2d(input, options), MLGraphBuilder/averagePool2d(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-averagepool2d-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-averagepool2d-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlpool2doptions" id="ref-for-dictdef-mlpool2doptions"><c- n>MLPool2dOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/averagePool2d(input, options), MLGraphBuilder/averagePool2d(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-averagepool2d-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-averagepool2d-input-options-options"></a></dfn> = {});
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③③⑦"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-l2pool2d" id="ref-for-dom-mlgraphbuilder-l2pool2d"><c- g>l2Pool2d</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③③⑧"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/l2Pool2d(input, options), MLGraphBuilder/l2Pool2d(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-l2pool2d-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-l2pool2d-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlpool2doptions" id="ref-for-dictdef-mlpool2doptions①"><c- n>MLPool2dOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/l2Pool2d(input, options), MLGraphBuilder/l2Pool2d(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-l2pool2d-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-l2pool2d-input-options-options"></a></dfn> = {});
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③③⑨"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-maxpool2d" id="ref-for-dom-mlgraphbuilder-maxpool2d"><c- g>maxPool2d</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③④⓪"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/maxPool2d(input, options), MLGraphBuilder/maxPool2d(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-maxpool2d-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-maxpool2d-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlpool2doptions" id="ref-for-dictdef-mlpool2doptions②"><c- n>MLPool2dOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/maxPool2d(input, options), MLGraphBuilder/maxPool2d(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-maxpool2d-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-maxpool2d-input-options-options"></a></dfn> = {});
 };
 </pre>
-   <div>
-     <strong>Arguments:</strong> 
-    <ul>
-     <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑧④">MLOperand</a></code>. The input 4-D tensor. The logical shape
-is interpreted according to the value of <em>options.layout</em>.</p>
-     <li data-md>
-      <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlpool2doptions" id="ref-for-dictdef-mlpool2doptions③">MLPool2dOptions</a></code>. The optional parameters of the operation.</p>
-    </ul>
-    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑧⑤">MLOperand</a></code>. The output 4-D tensor that contains the
-    result of the reduction. The logical shape is interpreted according to the
-    value of <em>layout</em>. More specifically, if the <em>options.roundingType</em> is <em>"floor"</em>, the spatial dimensions of the output tensor can be calculated as follow:</p>
-    <p><em>output size = floor(1 + (input size - filter size + beginning padding + ending padding) / stride)</em></p>
-    <p>or if <em>options.roundingType</em> is <em>"ceil"</em>:</p>
-    <p><em>output size = ceil(1 + (input size - filter size + beginning padding + ending padding) / stride)</em></p>
-   </div>
-   <div class="note" role="note">
-     A <em>global</em> pooling operation such as one for the max pooling operation is a variant of pooling where the window dimensions is the spatial dimensions (last two dimensions) of the input shape, as follow. 
-<pre class="highlight"><c- c1>// 'global' max pooling</c->
-builder<c- p>.</c->maxPool2d<c- p>(</c->input<c- p>);</c->
-</pre>
-   </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlpool2doptions" id="ref-for-dictdef-mlpool2doptions④">MLPool2dOptions</a></code> has the following members:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlpool2doptions" id="ref-for-dictdef-mlpool2doptions③">MLPool2dOptions</a></code> has the following members:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLPool2dOptions" data-dfn-type="dict-member" data-export id="dom-mlpool2doptions-windowdimensions"><code>windowDimensions</code></dfn>, <span> of type <code class="idl-code">sequence&lt;unsigned long></code></span>
     <dd data-md>
-     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long④⑧">unsigned long</a></code> of length 2: [windowHeight, windowWidth].
+     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑤⑦">unsigned long</a></code> of length 2: [windowHeight, windowWidth].
  Specifies the dimensions of the sliding window.
  The default value for the window dimensions are the height and width dimensions of the input shape.</p>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLPool2dOptions" data-dfn-type="dict-member" data-export id="dom-mlpool2doptions-padding"><code>padding</code></dfn>, <span> of type <code class="idl-code">sequence&lt;unsigned long></code></span>
     <dd data-md>
-     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long④⑨">unsigned long</a></code> of length 4: [beginningHeight, endingHeight, beginningWidth, endingWidth].
+     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑤⑧">unsigned long</a></code> of length 4: [beginningHeight, endingHeight, beginningWidth, endingWidth].
 Specifies the additional rows and columns added to the beginning and ending of each spatial dimension of the convolution input.
 The default value is [0,0,0,0].</p>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLPool2dOptions" data-dfn-type="dict-member" data-export id="dom-mlpool2doptions-strides"><code>strides</code></dfn>, <span> of type <code class="idl-code">sequence&lt;unsigned long></code></span>
     <dd data-md>
-     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑤⓪">unsigned long</a></code> of length 2: [strideHeight, strideWidth].
+     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑤⑨">unsigned long</a></code> of length 2: [strideHeight, strideWidth].
 Specifies the stride of the sliding window for each spatial dimension of the convolution input.
 The default value is [1,1].</p>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLPool2dOptions" data-dfn-type="dict-member" data-export id="dom-mlpool2doptions-dilations"><code>dilations</code></dfn>, <span> of type <code class="idl-code">sequence&lt;unsigned long></code></span>
     <dd data-md>
-     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑤①">unsigned long</a></code> of length 2: [dilationHeight, dilationWidth]. Specifies the dilation factor for each spatial dimension applied on the convolution filter (kernel).
+     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑥⓪">unsigned long</a></code> of length 2: [dilationHeight, dilationWidth]. Specifies the dilation factor for each spatial dimension applied on the convolution filter (kernel).
 The default value is [1,1].</p>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLPool2dOptions" data-dfn-type="dict-member" data-export id="dom-mlpool2doptions-autopad"><code>autoPad</code></dfn>, <span> of type <a data-link-type="idl-name" href="#enumdef-mlautopad" id="ref-for-enumdef-mlautopad⑦">MLAutoPad</a>, defaulting to <code>"explicit"</code></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#enumdef-mlautopad" id="ref-for-enumdef-mlautopad⑧">MLAutoPad</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string①①">string</a>.
+     <p>An <code class="idl"><a data-link-type="idl" href="#enumdef-mlautopad" id="ref-for-enumdef-mlautopad⑧">MLAutoPad</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string①⓪">string</a>.
 Specifies the automatic input padding options.
 The default value is <em>"explicit"</em>, which means that the values in the <code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-padding" id="ref-for-dom-mlpool2doptions-padding①">padding</a></code> array should be used for input padding.
 When the option is set other than <em>"explicit"</em>, the values in the <code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-padding" id="ref-for-dom-mlpool2doptions-padding②">padding</a></code> array are ignored.</p>
@@ -5982,7 +6676,7 @@ <h4 class="heading settled" data-level="7.6.25" id="api-mlgraphbuilder-pool2d"><
      <p>The <em>"same-lower"</em> option is similar but padding is applied to the beginning padding of the spatial input dimensions instead of the ending one.</p>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLPool2dOptions" data-dfn-type="dict-member" data-export id="dom-mlpool2doptions-layout"><code>layout</code></dfn>, <span> of type <a data-link-type="idl-name" href="#enumdef-mlinputoperandlayout" id="ref-for-enumdef-mlinputoperandlayout①⓪">MLInputOperandLayout</a>, defaulting to <code>"nchw"</code></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#enumdef-mlinputoperandlayout" id="ref-for-enumdef-mlinputoperandlayout①①">MLInputOperandLayout</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string①②">string</a>.
+     <p>An <code class="idl"><a data-link-type="idl" href="#enumdef-mlinputoperandlayout" id="ref-for-enumdef-mlinputoperandlayout①①">MLInputOperandLayout</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string①①">string</a>.
 Specifies the layout format of the input and output tensor as follows:</p>
      <ul>
       <li data-md>
@@ -6005,79 +6699,101 @@ <h4 class="heading settled" data-level="7.6.25" id="api-mlgraphbuilder-pool2d"><
      The default value is <em>"nchw"</em>. 
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLPool2dOptions" data-dfn-type="dict-member" data-export id="dom-mlpool2doptions-roundingtype"><code>roundingType</code></dfn>, <span> of type <a data-link-type="idl-name" href="#enumdef-mlroundingtype" id="ref-for-enumdef-mlroundingtype①">MLRoundingType</a>, defaulting to <code>"floor"</code></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#enumdef-mlroundingtype" id="ref-for-enumdef-mlroundingtype②">MLRoundingType</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string①③">string</a>.
+     <p>An <code class="idl"><a data-link-type="idl" href="#enumdef-mlroundingtype" id="ref-for-enumdef-mlroundingtype②">MLRoundingType</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string①②">string</a>.
 Specifies the rounding function used to compute the output shape.</p>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLPool2dOptions" data-dfn-type="dict-member" data-export id="dom-mlpool2doptions-outputsizes"><code>outputSizes</code></dfn>, <span> of type <code class="idl-code">sequence&lt;unsigned long></code></span>
     <dd data-md>
-     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑤②">unsigned long</a></code> of length 2.
+     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑥①">unsigned long</a></code> of length 2.
 Specifies the sizes of the two spacial dimensions of the output tensor. When the output sizes are explicitly specified, the <code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-roundingtype" id="ref-for-dom-mlpool2doptions-roundingtype①">roundingType</a></code> is ignored.</p>
      <p>If not specified, the output sizes are automatically computed.</p>
    </dl>
+   <div>
+     <strong>Arguments:</strong> 
+    <ul>
+     <li data-md>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③④①">MLOperand</a></code>. The input 4-D tensor. The logical shape
+is interpreted according to the value of <em>options.layout</em>.</p>
+     <li data-md>
+      <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlpool2doptions" id="ref-for-dictdef-mlpool2doptions④">MLPool2dOptions</a></code>. The optional parameters of the operation.</p>
+    </ul>
+    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③④②">MLOperand</a></code>. The output 4-D tensor that contains the
+    result of the reduction. The logical shape is interpreted according to the
+    value of <em>layout</em>. More specifically, if the <em>options.roundingType</em> is <em>"floor"</em>, the spatial dimensions of the output tensor can be calculated as follow:</p>
+    <p><em>output size = floor(1 + (input size - filter size + beginning padding + ending padding) / stride)</em></p>
+    <p>or if <em>options.roundingType</em> is <em>"ceil"</em>:</p>
+    <p><em>output size = ceil(1 + (input size - filter size + beginning padding + ending padding) / stride)</em></p>
+   </div>
+   <div class="note" role="note">
+     A <em>global</em> pooling operation such as one for the max pooling operation is a variant of pooling where the window dimensions is the spatial dimensions (last two dimensions) of the input shape, as follow. 
+<pre class="highlight"><c- c1>// 'global' max pooling</c->
+builder<c- p>.</c->maxPool2d<c- p>(</c->input<c- p>);</c->
+</pre>
+   </div>
    <details class="algorithm" data-algorithm="pooling-op" data-algorithm-for="MLGraphBuilder" open>
     <summary> To <dfn class="dfn-paneled" data-dfn-for="MLGraphBuilder" data-dfn-type="dfn" data-lt="pooling-op" data-noexport id="mlgraphbuilder-pooling-op">create pooling operation</dfn> given <var>op</var>, <var>input</var> and <var>options</var>, run the following steps: </summary>
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑤⑧">Assert</a>: <var>op</var> is one of "averagePool2d", "l2Pool2d", "maxPool2d".</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑥⑤">Assert</a>: <var>op</var> is one of "averagePool2d", "l2Pool2d", "maxPool2d".</p>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑤⑨">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑧⑥">MLOperand</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑥⑥">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③④③">MLOperand</a></code>.</p>
       <li data-md>
-       <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size③⑨">size</a> of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑧⓪">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑦⑨">dimensions</a></code> is not 4, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑨⑦">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑦②">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①①⑦">DOMException</a></code>.</p>
+       <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size④⓪">size</a> of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑧⑨">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑧⑨">dimensions</a></code> is not 4, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②④④">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑧⑥">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①③⑧">DOMException</a></code>.</p>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-windowdimensions" id="ref-for-dom-mlpool2doptions-windowdimensions①">windowDimensions</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists④⑤">exists</a> and its <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size④⓪">size</a> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑨⑧">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑦③">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①①⑧">DOMException</a></code>.</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-windowdimensions" id="ref-for-dom-mlpool2doptions-windowdimensions①">windowDimensions</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists④④">exists</a> and its <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size④①">size</a> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②④⑤">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑧⑦">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①③⑨">DOMException</a></code>.</p>
       <li data-md>
        <p>Otherwise, set <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-windowdimensions" id="ref-for-dom-mlpool2doptions-windowdimensions②">windowDimensions</a></code> to the height and width dimensions of the shape of <var>input</var>.</p>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-outputsizes" id="ref-for-dom-mlpool2doptions-outputsizes①">outputSizes</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists④⑥">exists</a>, or if <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-padding" id="ref-for-dom-mlpool2doptions-padding③">padding</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists④⑦">exist</a>, set <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-padding" id="ref-for-dom-mlpool2doptions-padding④">padding</a></code> to <code>« 0, 0, 0, 0 »</code>.</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-outputsizes" id="ref-for-dom-mlpool2doptions-outputsizes①">outputSizes</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists④⑤">exists</a>, or if <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-padding" id="ref-for-dom-mlpool2doptions-padding③">padding</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists④⑥">exist</a>, set <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-padding" id="ref-for-dom-mlpool2doptions-padding④">padding</a></code> to <code>« 0, 0, 0, 0 »</code>.</p>
       <li data-md>
-       <p>If the len<a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size④①">size</a>gth of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-padding" id="ref-for-dom-mlpool2doptions-padding⑤">padding</a></code> is not 4, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①⑨⑨">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑦④">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①①⑨">DOMException</a></code>.</p>
+       <p>If the len<a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size④②">size</a>gth of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-padding" id="ref-for-dom-mlpool2doptions-padding⑤">padding</a></code> is not 4, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②④⑥">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑧⑧">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①④⓪">DOMException</a></code>.</p>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-strides" id="ref-for-dom-mlpool2doptions-strides①">strides</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists④⑧">exist</a>, set <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-strides" id="ref-for-dom-mlpool2doptions-strides②">strides</a></code> to <code>« 1, 1 »</code>.</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-strides" id="ref-for-dom-mlpool2doptions-strides①">strides</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists④⑦">exist</a>, set <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-strides" id="ref-for-dom-mlpool2doptions-strides②">strides</a></code> to <code>« 1, 1 »</code>.</p>
       <li data-md>
-       <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size④②">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-strides" id="ref-for-dom-mlpool2doptions-strides③">strides</a></code> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⓪⓪">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑦⑤">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①②⓪">DOMException</a></code>.</p>
+       <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size④③">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-strides" id="ref-for-dom-mlpool2doptions-strides③">strides</a></code> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②④⑦">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑧⑨">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①④①">DOMException</a></code>.</p>
       <li data-md>
-       <p>If any value in <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-strides" id="ref-for-dom-mlpool2doptions-strides④">strides</a></code> is not greater than 0, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⓪①">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑦⑥">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①②①">DOMException</a></code>.</p>
+       <p>If any value in <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-strides" id="ref-for-dom-mlpool2doptions-strides④">strides</a></code> is not greater than 0, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②④⑧">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑨⓪">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①④②">DOMException</a></code>.</p>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-outputsizes" id="ref-for-dom-mlpool2doptions-outputsizes②">outputSizes</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists④⑨">exists</a>:</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-outputsizes" id="ref-for-dom-mlpool2doptions-outputsizes②">outputSizes</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists④⑧">exists</a>:</p>
        <ol>
         <li data-md>
-         <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size④③">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-outputsizes" id="ref-for-dom-mlpool2doptions-outputsizes③">outputSizes</a></code> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⓪②">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror③⑨">TypeError</a></code>.</p>
+         <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size④④">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-outputsizes" id="ref-for-dom-mlpool2doptions-outputsizes③">outputSizes</a></code> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②④⑨">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror③⑨">TypeError</a></code>.</p>
         <li data-md>
-         <p>If the elements of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-outputsizes" id="ref-for-dom-mlpool2doptions-outputsizes④">outputSizes</a></code> are not smaller than the elements at the same dimension (index) for <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-strides" id="ref-for-dom-mlpool2doptions-strides⑤">strides</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⓪③">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑦⑦">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①②②">DOMException</a></code>.</p>
+         <p>If the elements of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-outputsizes" id="ref-for-dom-mlpool2doptions-outputsizes④">outputSizes</a></code> are not smaller than the elements at the same dimension (index) for <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-strides" id="ref-for-dom-mlpool2doptions-strides⑤">strides</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑤⓪">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑨①">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①④③">DOMException</a></code>.</p>
        </ol>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-dilations" id="ref-for-dom-mlpool2doptions-dilations①">dilations</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑤⓪">exist</a>, set <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-dilations" id="ref-for-dom-mlpool2doptions-dilations②">dilations</a></code> to <code>« 1, 1 »</code>.</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-dilations" id="ref-for-dom-mlpool2doptions-dilations①">dilations</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists④⑨">exist</a>, set <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-dilations" id="ref-for-dom-mlpool2doptions-dilations②">dilations</a></code> to <code>« 1, 1 »</code>.</p>
       <li data-md>
-       <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size④④">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-dilations" id="ref-for-dom-mlpool2doptions-dilations③">dilations</a></code> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⓪④">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑦⑧">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①②③">DOMException</a></code>.</p>
+       <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size④⑤">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-dilations" id="ref-for-dom-mlpool2doptions-dilations③">dilations</a></code> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑤①">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑨②">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①④④">DOMException</a></code>.</p>
       <li data-md>
-       <p>If any value in <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-dilations" id="ref-for-dom-mlpool2doptions-dilations④">dilations</a></code> is not greater than 0, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⓪⑤">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑦⑨">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①②④">DOMException</a></code>.</p>
+       <p>If any value in <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-dilations" id="ref-for-dom-mlpool2doptions-dilations④">dilations</a></code> is not greater than 0, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑤②">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑨③">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①④⑤">DOMException</a></code>.</p>
       <li data-md>
        <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-autopad" id="ref-for-dom-mlpool2doptions-autopad①">autoPad</a></code> is not <code>"explicit"</code>, set <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-padding" id="ref-for-dom-mlpool2doptions-padding⑥">padding</a></code> to <code>« 0, 0, 0, 0 »</code>.</p>
       <li data-md>
-       <p>Let <var>desc</var> be a copy of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑧①">[[descriptor]]</a></code>.</p>
+       <p>Let <var>desc</var> be a copy of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑨⓪">[[descriptor]]</a></code>.</p>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⓪⑥">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror③⑥">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①②⑤">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑤③">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror④③">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①④⑥">DOMException</a></code>.</p>
        <ol>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Calculate the output dimensions given <var>input</var> and <var>options</var>. Let <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑧⓪">dimensions</a></code> be the result of that.</p>
+           <p>Calculate the output dimensions given <var>input</var> and <var>options</var>. Let <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑨⓪">dimensions</a></code> be the result of that.</p>
           <li data-md>
-           <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand①⑦">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this③①">this</a> and <var>desc</var>.</p>
+           <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand②③">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this③⑥">this</a> and <var>desc</var>.</p>
           <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined④⑧">implementation-defined</a> platform operator for the <var>op</var> pooling operation, given <var>options</var>.</p>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑥⓪">implementation-defined</a> platform operator for the <var>op</var> pooling operation, given <var>options</var>.</p>
           <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot②②">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot②⑧">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined④⑨">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑥①">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑥②">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑧②">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑥③">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑧③">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
         <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑥④">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑧④">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
@@ -6093,7 +6809,7 @@ <h4 class="heading settled" data-level="7.6.25" id="api-mlgraphbuilder-pool2d"><
        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-pooling-op" id="ref-for-mlgraphbuilder-pooling-op"> create pooling operation</a> given <code>"averagePool2d"</code>, <var>input</var> and <var>options</var>.</p>
        <ol>
         <li data-md>
-         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⓪⑦">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⓪⑧">throw</a> the error.</p>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑤④">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑤⑤">throw</a> the error.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
@@ -6106,7 +6822,7 @@ <h4 class="heading settled" data-level="7.6.25" id="api-mlgraphbuilder-pool2d"><
        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-pooling-op" id="ref-for-mlgraphbuilder-pooling-op①"> create pooling operation</a> given <code>"l2Pool2d"</code>, <var>input</var> and <var>options</var>.</p>
        <ol>
         <li data-md>
-         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⓪⑨">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②①⓪">throw</a> the error.</p>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑤⑥">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑤⑦">throw</a> the error.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
@@ -6119,31 +6835,37 @@ <h4 class="heading settled" data-level="7.6.25" id="api-mlgraphbuilder-pool2d"><
        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-pooling-op" id="ref-for-mlgraphbuilder-pooling-op②"> create pooling operation</a> given <code>"maxPool2d"</code>, <var>input</var> and <var>options</var>.</p>
        <ol>
         <li data-md>
-         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②①①">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②①②">throw</a> the error.</p>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑤⑧">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑤⑨">throw</a> the error.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.6.26" id="api-mlgraphbuilder-prelu"><span class="secno">7.6.26. </span><span class="content">The prelu() method</span><a class="self-link" href="#api-mlgraphbuilder-prelu"></a></h4>
+   <h5 class="heading settled" data-level="7.7.31.1" id="api-mlgraphbuilder-pool2d-average"><span class="secno">7.7.31.1. </span><span class="content">averagePool2d</span><a class="self-link" href="#api-mlgraphbuilder-pool2d-average"></a></h5>
+    Calculate the average value for patches of a feature map, and use it to create a pooled feature map. See <a href="#api-mlgraphbuilder-pool2d">§ 7.7.31 Pooling operations</a> for more detail. 
+   <h5 class="heading settled" data-level="7.7.31.2" id="api-mlgraphbuilder-pool2d-l2"><span class="secno">7.7.31.2. </span><span class="content">l2Pool2d</span><a class="self-link" href="#api-mlgraphbuilder-pool2d-l2"></a></h5>
+    Apply the L2 norm function to a region of the input feature map. The L2 norm is the square root of the sum of the squares of its elements. See <a href="#api-mlgraphbuilder-pool2d">§ 7.7.31 Pooling operations</a> for more detail. 
+   <h5 class="heading settled" data-level="7.7.31.3" id="api-mlgraphbuilder-pool2d-max"><span class="secno">7.7.31.3. </span><span class="content">maxPool2d</span><a class="self-link" href="#api-mlgraphbuilder-pool2d-max"></a></h5>
+    Calculate the maximum value for patches of a feature map, and use it to create a pooled feature map. See <a href="#api-mlgraphbuilder-pool2d">§ 7.7.31 Pooling operations</a> for more detail. 
+   <h4 class="heading settled" data-level="7.7.32" id="api-mlgraphbuilder-prelu"><span class="secno">7.7.32. </span><span class="content">prelu</span><a class="self-link" href="#api-mlgraphbuilder-prelu"></a></h4>
     Calculate the <a href="https://en.wikipedia.org/wiki/Rectifier_(neural_networks)#Parametric_ReLU">parametric version of rectified linear function (Parametric ReLU)</a> on the input tensor element-wise. Parametric ReLU is a type of leaky ReLU that, instead of having a scalar slope like 0.01, making the slope (coefficient of leakage) into a parameter that is learned during the model training phase of this operation. The calculation follows the expression <code>max(0, x) + slope ∗ min(0, x)</code>. 
-<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder④④"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑧⑦"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-prelu" id="ref-for-dom-mlgraphbuilder-prelu"><c- g>prelu</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑧⑧"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/prelu(input, slope)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-prelu-input-slope-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-prelu-input-slope-input"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑧⑨"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/prelu(input, slope)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-prelu-input-slope-slope"><code><c- g>slope</c-></code><a class="self-link" href="#dom-mlgraphbuilder-prelu-input-slope-slope"></a></dfn>);
+<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder④⑦"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③④④"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-prelu" id="ref-for-dom-mlgraphbuilder-prelu"><c- g>prelu</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③④⑤"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/prelu(input, slope)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-prelu-input-slope-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-prelu-input-slope-input"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③④⑥"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/prelu(input, slope)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-prelu-input-slope-slope"><code><c- g>slope</c-></code><a class="self-link" href="#dom-mlgraphbuilder-prelu-input-slope-slope"></a></dfn>);
 };
 </pre>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑨⓪">MLOperand</a></code>. The input tensor.</p>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③④⑦">MLOperand</a></code>. The input tensor.</p>
      <li data-md>
-      <p><em>slope</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑨①">MLOperand</a></code>. The slope tensor. Its shape is either the same as, or unidirectionally broadcastable to the shape of input tensor <em>input</em> according to <a data-link-type="biblio" href="#biblio-numpy-broadcasting-rule" title="General Broadcasting Rules of NumPy">[numpy-broadcasting-rule]</a>.</p>
+      <p><em>slope</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③④⑧">MLOperand</a></code>. The slope tensor. Its shape is either the same as, or unidirectionally broadcastable to the shape of input tensor <em>input</em> according to <a data-link-type="biblio" href="#biblio-numpy-broadcasting-rule" title="General Broadcasting Rules of NumPy">[numpy-broadcasting-rule]</a>.</p>
     </ul>
     <p><strong>Returns:</strong></p>
     <ul>
      <li data-md>
-      <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑨②">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
+      <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③④⑨">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
     </ul>
    </div>
    <details class="algorithm" data-algorithm="prelu(input, slope)" data-algorithm-for="MLGraphBuilder" open>
@@ -6151,38 +6873,38 @@ <h4 class="heading settled" data-level="7.6.26" id="api-mlgraphbuilder-prelu"><s
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑥⓪">Assert</a>: the type of <var>input</var> and <var>slope</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑨③">MLOperand</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑥⑦">Assert</a>: the type of <var>input</var> and <var>slope</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑤⓪">MLOperand</a></code>.</p>
       <li data-md>
-       <p>Let <var>descriptor</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor②②">MLOperandDescriptor</a></code>.</p>
+       <p>Let <var>descriptor</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor②③">MLOperandDescriptor</a></code>.</p>
       <li data-md>
-       <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype③⑤">dataType</a></code> to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑧②">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype③⑥">dataType</a></code>.</p>
+       <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype④②">dataType</a></code> to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑨①">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype④③">dataType</a></code>.</p>
       <li data-md>
-       <p>Let <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑧①">dimensions</a></code> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-broadcast-shapes" id="ref-for-mlgraphbuilder-broadcast-shapes①">broadcast-shapes</a> steps given <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑧③">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑧②">dimensions</a></code> and <var>slope</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑧④">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑧③">dimensions</a></code>.</p>
+       <p>Let <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑨①">dimensions</a></code> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-broadcast-shapes" id="ref-for-mlgraphbuilder-broadcast-shapes②">broadcast-shapes</a> steps given <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑨②">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑨②">dimensions</a></code> and <var>slope</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑨③">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑨③">dimensions</a></code>.</p>
        <ol>
         <li data-md>
-         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②①③">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②①④">throw</a> the error.</p>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑥⓪">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑥①">throw</a> the error.</p>
        </ol>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②①⑤">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror③⑦">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①②⑥">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑥②">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror④④">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①④⑦">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand①⑧">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this③②">this</a> and <var>descriptor</var>.</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand②④">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this③⑦">this</a> and <var>descriptor</var>.</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑤⓪">implementation-defined</a> platform operator for the PreLU operation, given <var>slope</var>.</p>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑥②">implementation-defined</a> platform operator for the PreLU operation, given <var>slope</var>.</p>
           <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot②③">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot②⑨">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑤①">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑥③">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑥⑤">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑧⑤">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑥⑥">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑧⑥">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
         <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑥⑦">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑧⑦">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
@@ -6200,43 +6922,44 @@ <h4 class="heading settled" data-level="7.6.26" id="api-mlgraphbuilder-prelu"><s
 </pre>
     </details>
    </div>
-   <h4 class="heading settled" data-level="7.6.27" id="api-mlgraphbuilder-reduce"><span class="secno">7.6.27. </span><span class="content">Reduction operations</span><a class="self-link" href="#api-mlgraphbuilder-reduce"></a></h4>
+   <h4 class="heading settled" data-level="7.7.33" id="api-mlgraphbuilder-reduce"><span class="secno">7.7.33. </span><span class="content">Reduction operations</span><a class="self-link" href="#api-mlgraphbuilder-reduce"></a></h4>
     Reduce the input tensor along all dimensions, or along the axes specified in the <code class="idl"><a data-link-type="idl" href="#dom-mlreduceoptions-axes" id="ref-for-dom-mlreduceoptions-axes">axes</a></code> array parameter. For each specified axis, the dimension with that index is reduced, i.e. the resulting tensor will not contain it, unless the <code class="idl"><a data-link-type="idl" href="#dom-mlreduceoptions-keepdimensions" id="ref-for-dom-mlreduceoptions-keepdimensions">keepDimensions</a></code> option is specified. The values of the resulting tensor are calculated using the specified reduction function that takes as parameters all the values across the reduced dimension. 
 <pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlreduceoptions"><code><c- g>MLReduceOptions</c-></code></dfn> {
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②④"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑤③"><c- b>unsigned</c-> <c- b>long</c-></a>> <dfn class="dfn-paneled idl-code" data-default="null" data-dfn-for="MLReduceOptions" data-dfn-type="dict-member" data-export data-type="sequence<unsigned long> " id="dom-mlreduceoptions-axes"><code><c- g>axes</c-></code></dfn> = <c- b>null</c->;
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean①⑧"><c- b>boolean</c-></a> <dfn class="dfn-paneled idl-code" data-default="false" data-dfn-for="MLReduceOptions" data-dfn-type="dict-member" data-export data-type="boolean " id="dom-mlreduceoptions-keepdimensions"><code><c- g>keepDimensions</c-></code></dfn> = <c- b>false</c->;
-};
-
-<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder④⑤"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑨④"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-reducel1" id="ref-for-dom-mlgraphbuilder-reducel1"><c- g>reduceL1</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑨⑤"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceL1(input, options), MLGraphBuilder/reduceL1(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducel1-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducel1-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlreduceoptions" id="ref-for-dictdef-mlreduceoptions"><c- n>MLReduceOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceL1(input, options), MLGraphBuilder/reduceL1(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducel1-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducel1-input-options-options"></a></dfn> = {});
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑨⑥"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-reducel2" id="ref-for-dom-mlgraphbuilder-reducel2"><c- g>reduceL2</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑨⑦"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceL2(input, options), MLGraphBuilder/reduceL2(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducel2-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducel2-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlreduceoptions" id="ref-for-dictdef-mlreduceoptions①"><c- n>MLReduceOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceL2(input, options), MLGraphBuilder/reduceL2(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducel2-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducel2-input-options-options"></a></dfn> = {});
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑨⑧"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-reducelogsum" id="ref-for-dom-mlgraphbuilder-reducelogsum"><c- g>reduceLogSum</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⑨⑨"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceLogSum(input, options), MLGraphBuilder/reduceLogSum(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducelogsum-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducelogsum-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlreduceoptions" id="ref-for-dictdef-mlreduceoptions②"><c- n>MLReduceOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceLogSum(input, options), MLGraphBuilder/reduceLogSum(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducelogsum-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducelogsum-input-options-options"></a></dfn> = {});
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⓪⓪"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-reducelogsumexp" id="ref-for-dom-mlgraphbuilder-reducelogsumexp"><c- g>reduceLogSumExp</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⓪①"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceLogSumExp(input, options), MLGraphBuilder/reduceLogSumExp(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducelogsumexp-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducelogsumexp-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlreduceoptions" id="ref-for-dictdef-mlreduceoptions③"><c- n>MLReduceOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceLogSumExp(input, options), MLGraphBuilder/reduceLogSumExp(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducelogsumexp-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducelogsumexp-input-options-options"></a></dfn> = {});
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⓪②"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-reducemax" id="ref-for-dom-mlgraphbuilder-reducemax"><c- g>reduceMax</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⓪③"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceMax(input, options), MLGraphBuilder/reduceMax(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducemax-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducemax-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlreduceoptions" id="ref-for-dictdef-mlreduceoptions④"><c- n>MLReduceOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceMax(input, options), MLGraphBuilder/reduceMax(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducemax-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducemax-input-options-options"></a></dfn> = {});
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⓪④"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-reducemean" id="ref-for-dom-mlgraphbuilder-reducemean"><c- g>reduceMean</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⓪⑤"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceMean(input, options), MLGraphBuilder/reduceMean(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducemean-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducemean-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlreduceoptions" id="ref-for-dictdef-mlreduceoptions⑤"><c- n>MLReduceOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceMean(input, options), MLGraphBuilder/reduceMean(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducemean-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducemean-input-options-options"></a></dfn> = {});
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⓪⑥"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-reducemin" id="ref-for-dom-mlgraphbuilder-reducemin"><c- g>reduceMin</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⓪⑦"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceMin(input, options), MLGraphBuilder/reduceMin(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducemin-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducemin-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlreduceoptions" id="ref-for-dictdef-mlreduceoptions⑥"><c- n>MLReduceOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceMin(input, options), MLGraphBuilder/reduceMin(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducemin-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducemin-input-options-options"></a></dfn> = {});
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⓪⑧"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-reduceproduct" id="ref-for-dom-mlgraphbuilder-reduceproduct"><c- g>reduceProduct</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⓪⑨"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceProduct(input, options), MLGraphBuilder/reduceProduct(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reduceproduct-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reduceproduct-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlreduceoptions" id="ref-for-dictdef-mlreduceoptions⑦"><c- n>MLReduceOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceProduct(input, options), MLGraphBuilder/reduceProduct(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reduceproduct-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reduceproduct-input-options-options"></a></dfn> = {});
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③①⓪"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-reducesum" id="ref-for-dom-mlgraphbuilder-reducesum"><c- g>reduceSum</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③①①"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceSum(input, options), MLGraphBuilder/reduceSum(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducesum-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducesum-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlreduceoptions" id="ref-for-dictdef-mlreduceoptions⑧"><c- n>MLReduceOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceSum(input, options), MLGraphBuilder/reduceSum(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducesum-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducesum-input-options-options"></a></dfn> = {});
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③①②"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-reducesumsquare" id="ref-for-dom-mlgraphbuilder-reducesumsquare"><c- g>reduceSumSquare</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③①③"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceSumSquare(input, options), MLGraphBuilder/reduceSumSquare(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducesumsquare-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducesumsquare-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlreduceoptions" id="ref-for-dictdef-mlreduceoptions⑨"><c- n>MLReduceOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceSumSquare(input, options), MLGraphBuilder/reduceSumSquare(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducesumsquare-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducesumsquare-input-options-options"></a></dfn> = {});
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②⑥"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑥②"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-default="null" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlreduceoptions-axes" id="ref-for-dom-mlreduceoptions-axes①"><c- g>axes</c-></a> = <c- b>null</c->;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean②⑥"><c- b>boolean</c-></a> <a class="idl-code" data-default="false" data-link-type="dict-member" data-type="boolean " href="#dom-mlreduceoptions-keepdimensions" id="ref-for-dom-mlreduceoptions-keepdimensions①"><c- g>keepDimensions</c-></a> = <c- b>false</c->;
+};
+
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder④⑧"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑤①"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-reducel1" id="ref-for-dom-mlgraphbuilder-reducel1"><c- g>reduceL1</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑤②"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceL1(input, options), MLGraphBuilder/reduceL1(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducel1-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducel1-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlreduceoptions" id="ref-for-dictdef-mlreduceoptions"><c- n>MLReduceOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceL1(input, options), MLGraphBuilder/reduceL1(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducel1-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducel1-input-options-options"></a></dfn> = {});
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑤③"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-reducel2" id="ref-for-dom-mlgraphbuilder-reducel2"><c- g>reduceL2</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑤④"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceL2(input, options), MLGraphBuilder/reduceL2(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducel2-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducel2-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlreduceoptions" id="ref-for-dictdef-mlreduceoptions①"><c- n>MLReduceOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceL2(input, options), MLGraphBuilder/reduceL2(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducel2-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducel2-input-options-options"></a></dfn> = {});
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑤⑤"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-reducelogsum" id="ref-for-dom-mlgraphbuilder-reducelogsum"><c- g>reduceLogSum</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑤⑥"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceLogSum(input, options), MLGraphBuilder/reduceLogSum(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducelogsum-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducelogsum-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlreduceoptions" id="ref-for-dictdef-mlreduceoptions②"><c- n>MLReduceOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceLogSum(input, options), MLGraphBuilder/reduceLogSum(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducelogsum-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducelogsum-input-options-options"></a></dfn> = {});
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑤⑦"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-reducelogsumexp" id="ref-for-dom-mlgraphbuilder-reducelogsumexp"><c- g>reduceLogSumExp</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑤⑧"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceLogSumExp(input, options), MLGraphBuilder/reduceLogSumExp(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducelogsumexp-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducelogsumexp-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlreduceoptions" id="ref-for-dictdef-mlreduceoptions③"><c- n>MLReduceOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceLogSumExp(input, options), MLGraphBuilder/reduceLogSumExp(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducelogsumexp-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducelogsumexp-input-options-options"></a></dfn> = {});
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑤⑨"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-reducemax" id="ref-for-dom-mlgraphbuilder-reducemax"><c- g>reduceMax</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑥⓪"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceMax(input, options), MLGraphBuilder/reduceMax(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducemax-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducemax-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlreduceoptions" id="ref-for-dictdef-mlreduceoptions④"><c- n>MLReduceOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceMax(input, options), MLGraphBuilder/reduceMax(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducemax-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducemax-input-options-options"></a></dfn> = {});
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑥①"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-reducemean" id="ref-for-dom-mlgraphbuilder-reducemean"><c- g>reduceMean</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑥②"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceMean(input, options), MLGraphBuilder/reduceMean(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducemean-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducemean-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlreduceoptions" id="ref-for-dictdef-mlreduceoptions⑤"><c- n>MLReduceOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceMean(input, options), MLGraphBuilder/reduceMean(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducemean-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducemean-input-options-options"></a></dfn> = {});
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑥③"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-reducemin" id="ref-for-dom-mlgraphbuilder-reducemin"><c- g>reduceMin</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑥④"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceMin(input, options), MLGraphBuilder/reduceMin(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducemin-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducemin-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlreduceoptions" id="ref-for-dictdef-mlreduceoptions⑥"><c- n>MLReduceOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceMin(input, options), MLGraphBuilder/reduceMin(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducemin-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducemin-input-options-options"></a></dfn> = {});
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑥⑤"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-reduceproduct" id="ref-for-dom-mlgraphbuilder-reduceproduct"><c- g>reduceProduct</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑥⑥"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceProduct(input, options), MLGraphBuilder/reduceProduct(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reduceproduct-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reduceproduct-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlreduceoptions" id="ref-for-dictdef-mlreduceoptions⑦"><c- n>MLReduceOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceProduct(input, options), MLGraphBuilder/reduceProduct(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reduceproduct-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reduceproduct-input-options-options"></a></dfn> = {});
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑥⑦"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-reducesum" id="ref-for-dom-mlgraphbuilder-reducesum"><c- g>reduceSum</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑥⑧"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceSum(input, options), MLGraphBuilder/reduceSum(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducesum-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducesum-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlreduceoptions" id="ref-for-dictdef-mlreduceoptions⑧"><c- n>MLReduceOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceSum(input, options), MLGraphBuilder/reduceSum(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducesum-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducesum-input-options-options"></a></dfn> = {});
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑥⑨"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-reducesumsquare" id="ref-for-dom-mlgraphbuilder-reducesumsquare"><c- g>reduceSumSquare</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑦⓪"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceSumSquare(input, options), MLGraphBuilder/reduceSumSquare(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducesumsquare-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducesumsquare-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlreduceoptions" id="ref-for-dictdef-mlreduceoptions⑨"><c- n>MLReduceOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reduceSumSquare(input, options), MLGraphBuilder/reduceSumSquare(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reducesumsquare-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reducesumsquare-input-options-options"></a></dfn> = {});
 };
 </pre>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlreduceoptions" id="ref-for-dictdef-mlreduceoptions①⓪">MLReduceOptions</a></code> has the following members:</p>
+   <dl>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLReduceOptions" data-dfn-type="dict-member" data-export id="dom-mlreduceoptions-axes"><code>axes</code></dfn>, <span> of type <code class="idl-code">sequence&lt;unsigned long></code>, defaulting to <code>null</code></span>
+    <dd data-md>
+     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑥③">unsigned long</a></code>. The dimensions to reduce. The values in the sequence must be in the range [0, N-1] where N is the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank③①">rank</a> of the input tensor. If not present, all dimensions are reduced.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLReduceOptions" data-dfn-type="dict-member" data-export id="dom-mlreduceoptions-keepdimensions"><code>keepDimensions</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean②⑦">boolean</a>, defaulting to <code>false</code></span>
+    <dd data-md>
+     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean②⑧">boolean</a></code>. If true, retains reduced dimensions with <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size④⑥">size</a> 1. The default value is false.</p>
+   </dl>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③①④">MLOperand</a></code>. The input tensor.</p>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑦①">MLOperand</a></code>. The input tensor.</p>
      <li data-md>
-      <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlreduceoptions" id="ref-for-dictdef-mlreduceoptions①⓪">MLReduceOptions</a></code>. The optional parameters of the operation.</p>
-      <ul>
-       <li data-md>
-        <p><em>axes</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑤④">unsigned long</a></code>. The dimensions to reduce. The values in the sequence must be in the range [0, N-1] where N is the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank①⑨">rank</a> of the input tensor.
-If not present, all dimensions are reduced.</p>
-       <li data-md>
-        <p><em>keepDimensions</em>: a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean①⑨">boolean</a></code>. If true, retains reduced dimensions with <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size④⑤">size</a> 1.
-The default value is false.</p>
-      </ul>
+      <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlreduceoptions" id="ref-for-dictdef-mlreduceoptions①①">MLReduceOptions</a></code>. The optional parameters of the operation.</p>
     </ul>
-    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③①⑤">MLOperand</a></code>. The reduced output tensor.</p>
+    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑦②">MLOperand</a></code>. The reduced output tensor.</p>
    </div>
    <div class="note" role="note">
      <strong>Reduction types:</strong> 
@@ -6268,32 +6991,40 @@ <h4 class="heading settled" data-level="7.6.27" id="api-mlgraphbuilder-reduce"><
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑥①">Assert</a>: <var>op</var> is one of "reduceL1", "reduceL2", "reduceLogSum", "reduceLogSumExp", "reduceMax", "reduceMean", "reduceMin", "reduceProduct", "reduceSum", "reduceSumSquare".</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑥⑧">Assert</a>: <var>op</var> is one of "reduceL1", "reduceL2", "reduceLogSum", "reduceLogSumExp", "reduceMax", "reduceMean", "reduceMin", "reduceProduct", "reduceSum", "reduceSumSquare".</p>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑥②">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③①⑥">MLOperand</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑥⑨">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑦③">MLOperand</a></code>.</p>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlreduceoptions-axes" id="ref-for-dom-mlreduceoptions-axes①">axes</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑤①">exists</a>, if any of its elements is not in <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#the-range" id="ref-for-the-range⑤">the range</a> 0 to the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank②⓪">rank</a> of <var>input</var>, exclusive, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②①⑥">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑧⓪">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①②⑦">DOMException</a></code>.</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlreduceoptions-axes" id="ref-for-dom-mlreduceoptions-axes②">axes</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑤⓪">exists</a>, if any of its elements is not in <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#the-range" id="ref-for-the-range⑨">the range</a> 0 to the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank③②">rank</a> of <var>input</var>, exclusive, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑥③">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑨④">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①④⑧">DOMException</a></code>.</p>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②①⑦">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror③⑧">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①②⑧">DOMException</a></code>.</p>
+       <p>Let <var>outputShape</var> be the result of invoking the underlying implementation for calculating reduction output dimensions, given <var>options</var>.</p>
+      <li data-md>
+       <p>Let <var>desc</var> a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor②④">MLOperandDescriptor</a></code>.</p>
+      <li data-md>
+       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype④④">dataType</a></code> to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑨④">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype④⑤">dataType</a></code>.</p>
+      <li data-md>
+       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑨④">dimensions</a></code> to <var>outputShape</var>.</p>
+      <li data-md>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑥④">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror④⑤">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①④⑨">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand⑧">copying an MLOperand</a> given <var>input</var>.</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand②⑤">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this③⑧">this</a> and <var>desc</var>.</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑤②">implementation-defined</a> platform operator for the <var>op</var> reduce operation, given <var>options</var>.</p>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑥④">implementation-defined</a> platform operator for the <var>op</var> reduce operation, given <var>options</var>.</p>
           <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot②④">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot③⓪">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑤③">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑥⑤">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑥⑧">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑧⑧">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑥⑨">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑧⑨">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
         <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑦⓪">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑨⓪">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
@@ -6309,7 +7040,7 @@ <h4 class="heading settled" data-level="7.6.27" id="api-mlgraphbuilder-reduce"><
        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-reduce-op" id="ref-for-mlgraphbuilder-reduce-op"> create reduce operation</a> given "reduceL1", <var>input</var> and <var>options</var>.</p>
        <ol>
         <li data-md>
-         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②①⑧">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②①⑨">throw</a> the error.</p>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑥⑤">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑥⑥">throw</a> the error.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
@@ -6322,7 +7053,7 @@ <h4 class="heading settled" data-level="7.6.27" id="api-mlgraphbuilder-reduce"><
        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-reduce-op" id="ref-for-mlgraphbuilder-reduce-op①"> create reduce operation</a> given "reduceL2", <var>input</var> and <var>options</var>.</p>
        <ol>
         <li data-md>
-         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②②⓪">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②②①">throw</a> the error.</p>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑥⑦">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑥⑧">throw</a> the error.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
@@ -6335,7 +7066,7 @@ <h4 class="heading settled" data-level="7.6.27" id="api-mlgraphbuilder-reduce"><
        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-reduce-op" id="ref-for-mlgraphbuilder-reduce-op②"> create reduce operation</a> given "reduceLogSum", <var>input</var> and <var>options</var>.</p>
        <ol>
         <li data-md>
-         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②②②">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②②③">throw</a> the error.</p>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑥⑨">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑦⓪">throw</a> the error.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
@@ -6348,7 +7079,7 @@ <h4 class="heading settled" data-level="7.6.27" id="api-mlgraphbuilder-reduce"><
        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-reduce-op" id="ref-for-mlgraphbuilder-reduce-op③"> create reduce operation</a> given "reduceLogSumExp", <var>input</var> and <var>options</var>.</p>
        <ol>
         <li data-md>
-         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②②④">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②②⑤">throw</a> the error.</p>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑦①">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑦②">throw</a> the error.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
@@ -6361,7 +7092,7 @@ <h4 class="heading settled" data-level="7.6.27" id="api-mlgraphbuilder-reduce"><
        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-reduce-op" id="ref-for-mlgraphbuilder-reduce-op④"> create reduce operation</a> given "reduceMax", <var>input</var> and <var>options</var>.</p>
        <ol>
         <li data-md>
-         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②②⑥">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②②⑦">throw</a> the error.</p>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑦③">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑦④">throw</a> the error.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
@@ -6374,7 +7105,7 @@ <h4 class="heading settled" data-level="7.6.27" id="api-mlgraphbuilder-reduce"><
        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-reduce-op" id="ref-for-mlgraphbuilder-reduce-op⑤"> create reduce operation</a> given "reduceMean", <var>input</var> and <var>options</var>.</p>
        <ol>
         <li data-md>
-         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②②⑧">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②②⑨">throw</a> the error.</p>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑦⑤">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑦⑥">throw</a> the error.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
@@ -6387,7 +7118,7 @@ <h4 class="heading settled" data-level="7.6.27" id="api-mlgraphbuilder-reduce"><
        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-reduce-op" id="ref-for-mlgraphbuilder-reduce-op⑥"> create reduce operation</a> given "reduceMin", <var>input</var> and <var>options</var>.</p>
        <ol>
         <li data-md>
-         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②③⓪">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②③①">throw</a> the error.</p>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑦⑦">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑦⑧">throw</a> the error.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
@@ -6400,7 +7131,7 @@ <h4 class="heading settled" data-level="7.6.27" id="api-mlgraphbuilder-reduce"><
        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-reduce-op" id="ref-for-mlgraphbuilder-reduce-op⑦"> create reduce operation</a> given "reduceProduct", <var>input</var> and <var>options</var>.</p>
        <ol>
         <li data-md>
-         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②③②">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②③③">throw</a> the error.</p>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑦⑨">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑧⓪">throw</a> the error.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
@@ -6413,7 +7144,7 @@ <h4 class="heading settled" data-level="7.6.27" id="api-mlgraphbuilder-reduce"><
        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-reduce-op" id="ref-for-mlgraphbuilder-reduce-op⑧"> create reduce operation</a> given "reduceSum", <var>input</var> and <var>options</var>.</p>
        <ol>
         <li data-md>
-         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②③④">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②③⑤">throw</a> the error.</p>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑧①">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑧②">throw</a> the error.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
@@ -6426,18 +7157,18 @@ <h4 class="heading settled" data-level="7.6.27" id="api-mlgraphbuilder-reduce"><
        <p>Let <var>output</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-reduce-op" id="ref-for-mlgraphbuilder-reduce-op⑨"> create reduce operation</a> given "reduceSumSquare", <var>input</var> and <var>options</var>.</p>
        <ol>
         <li data-md>
-         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②③⑥">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②③⑦">throw</a> the error.</p>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑧③">throws</a> an error, then re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑧④">throw</a> the error.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.6.28" id="api-mlgraphbuilder-relu-method"><span class="secno">7.6.28. </span><span class="content">The relu() method</span><a class="self-link" href="#api-mlgraphbuilder-relu-method"></a></h4>
+   <h4 class="heading settled" data-level="7.7.34" id="api-mlgraphbuilder-relu-method"><span class="secno">7.7.34. </span><span class="content">relu</span><a class="self-link" href="#api-mlgraphbuilder-relu-method"></a></h4>
     Compute the <a href="https://en.wikipedia.org/wiki/Rectifier_(neural_networks)">rectified linear function</a> of the input tensor. 
-<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder④⑥"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③①⑦"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-relu" id="ref-for-dom-mlgraphbuilder-relu"><c- g>relu</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③①⑧"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/relu(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-relu-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-relu-input-input"></a></dfn>);
-  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation④⑤"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="method" href="#relu-noargs" id="ref-for-relu-noargs"><c- g>relu</c-></a>();
+<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder④⑨"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑦④"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-relu" id="ref-for-dom-mlgraphbuilder-relu"><c- g>relu</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑦⑤"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/relu(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-relu-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-relu-input-input"></a></dfn>);
+  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation④⑥"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="method" href="#relu-noargs" id="ref-for-relu-noargs"><c- g>relu</c-></a>();
 };
 </pre>
    <div class="note" role="note">
@@ -6450,17 +7181,17 @@ <h4 class="heading settled" data-level="7.6.28" id="api-mlgraphbuilder-relu-meth
 </pre>
     </details>
    </div>
-   <h5 class="heading settled" data-level="7.6.28.1" id="api-mlgraphbuilder-relu-input"><span class="secno">7.6.28.1. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-relu" id="ref-for-dom-mlgraphbuilder-relu①">relu(input)</a></code> method</span><a class="self-link" href="#api-mlgraphbuilder-relu-input"></a></h5>
+   <h5 class="heading settled" data-level="7.7.34.1" id="api-mlgraphbuilder-relu-input"><span class="secno">7.7.34.1. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-relu" id="ref-for-dom-mlgraphbuilder-relu①">relu(input)</a></code></span><a class="self-link" href="#api-mlgraphbuilder-relu-input"></a></h5>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③①⑨">MLOperand</a></code>. The input tensor.</p>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑦⑥">MLOperand</a></code>. The input tensor.</p>
     </ul>
     <p><strong>Returns:</strong></p>
     <ul>
      <li data-md>
-      <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③②⓪">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
+      <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑦⑦">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
     </ul>
    </div>
    <details class="algorithm" data-algorithm="relu(input)" data-algorithm-for="MLGraphBuilder" open>
@@ -6468,35 +7199,35 @@ <h5 class="heading settled" data-level="7.6.28.1" id="api-mlgraphbuilder-relu-in
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑥③">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③②①">MLOperand</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑦⓪">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑦⑧">MLOperand</a></code>.</p>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②③⑧">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror③⑨">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①②⑨">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑧⑤">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror④⑥">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑤⓪">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand⑨">copying an MLOperand</a> given <var>input</var>.</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand①⓪">copying an MLOperand</a> given <var>input</var>.</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑤④">implementation-defined</a> platform operator for the ReLU operation.</p>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑥⑥">implementation-defined</a> platform operator for the ReLU operation.</p>
           <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot②⑤">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot③①">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑤⑤">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑥⑦">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑦①">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑨①">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑦②">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑨②">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
         <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑦③">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑨③">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
      </ol>
     </div>
    </details>
-   <h5 class="heading settled" data-level="7.6.28.2" id="api-mlgraphbuilder-relu"><span class="secno">7.6.28.2. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#relu-noargs" id="ref-for-relu-noargs①">relu()</a></code> method</span><a class="self-link" href="#api-mlgraphbuilder-relu"></a></h5>
+   <h5 class="heading settled" data-level="7.7.34.2" id="api-mlgraphbuilder-relu"><span class="secno">7.7.34.2. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#relu-noargs" id="ref-for-relu-noargs①">relu()</a></code></span><a class="self-link" href="#api-mlgraphbuilder-relu"></a></h5>
    <div>
      <strong>Arguments:</strong> 
     <ul>
@@ -6506,7 +7237,7 @@ <h5 class="heading settled" data-level="7.6.28.2" id="api-mlgraphbuilder-relu"><
     <p><strong>Returns:</strong></p>
     <ul>
      <li data-md>
-      <p>an <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation④⑥">MLActivation</a></code>. The activation function representing the relu operation.</p>
+      <p>an <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation④⑦">MLActivation</a></code>. The activation function representing the relu operation.</p>
     </ul>
    </div>
    <details class="algorithm" data-algorithm="relu()" data-algorithm-for="MLGraphBuilder" open>
@@ -6514,17 +7245,17 @@ <h5 class="heading settled" data-level="7.6.28.2" id="api-mlgraphbuilder-relu"><
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p>Let <var>op</var> be the result of <a data-link-type="dfn" href="#create-an-mlactivation" id="ref-for-create-an-mlactivation⑥">creating an MLActivation</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this③③">this</a> and <code>"relu"</code>.</p>
+       <p>Let <var>op</var> be the result of <a data-link-type="dfn" href="#create-an-mlactivation" id="ref-for-create-an-mlactivation⑥">creating an MLActivation</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this③⑨">this</a> and <code>"relu"</code>.</p>
        <ol>
         <li data-md>
-         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②③⑨">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②④⓪">throw</a> the error.</p>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑧⑥">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑧⑦">throw</a> the error.</p>
        </ol>
       <li data-md>
        <p>Return <var>op</var>.</p>
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.6.29" id="api-mlgraphbuilder-resample2d-method"><span class="secno">7.6.29. </span><span class="content">The resample2d() method</span><a class="self-link" href="#api-mlgraphbuilder-resample2d-method"></a></h4>
+   <h4 class="heading settled" data-level="7.7.35" id="api-mlgraphbuilder-resample2d-method"><span class="secno">7.7.35. </span><span class="content">resample2d</span><a class="self-link" href="#api-mlgraphbuilder-resample2d-method"></a></h4>
     Resample the tensor values from the source to the destination spatial dimensions according to the scaling factors. 
 <pre class="idl highlight def"><c- b>enum</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="enum" data-export id="enumdef-mlinterpolationmode"><code><c- g>MLInterpolationMode</c-></code></dfn> {
   <dfn class="idl-code" data-dfn-for="MLInterpolationMode" data-dfn-type="enum-value" data-export id="dom-mlinterpolationmode-nearest-neighbor"><code><c- s>"nearest-neighbor"</c-></code><a class="self-link" href="#dom-mlinterpolationmode-nearest-neighbor"></a></dfn>,
@@ -6533,44 +7264,44 @@ <h4 class="heading settled" data-level="7.6.29" id="api-mlgraphbuilder-resample2
 
 <c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlresample2doptions"><code><c- g>MLResample2dOptions</c-></code></dfn> {
   <a data-link-type="idl-name" href="#enumdef-mlinterpolationmode" id="ref-for-enumdef-mlinterpolationmode"><c- n>MLInterpolationMode</c-></a> <a class="idl-code" data-default="&quot;nearest-neighbor&quot;" data-link-type="dict-member" data-type="MLInterpolationMode " href="#dom-mlresample2doptions-mode" id="ref-for-dom-mlresample2doptions-mode"><c- g>mode</c-></a> = "nearest-neighbor";
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②⑤"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③⑨"><c- b>float</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<float> " href="#dom-mlresample2doptions-scales" id="ref-for-dom-mlresample2doptions-scales"><c- g>scales</c-></a>;
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②⑥"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑤⑤"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlresample2doptions-sizes" id="ref-for-dom-mlresample2doptions-sizes"><c- g>sizes</c-></a>;
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②⑦"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑤⑥"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlresample2doptions-axes" id="ref-for-dom-mlresample2doptions-axes"><c- g>axes</c-></a>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②⑦"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float④⑥"><c- b>float</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<float> " href="#dom-mlresample2doptions-scales" id="ref-for-dom-mlresample2doptions-scales"><c- g>scales</c-></a>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②⑧"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑥④"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlresample2doptions-sizes" id="ref-for-dom-mlresample2doptions-sizes"><c- g>sizes</c-></a>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②⑨"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑥⑤"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlresample2doptions-axes" id="ref-for-dom-mlresample2doptions-axes"><c- g>axes</c-></a>;
 };
 
-<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder④⑦"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③②②"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-resample2d" id="ref-for-dom-mlgraphbuilder-resample2d"><c- g>resample2d</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③②③"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/resample2d(input, options), MLGraphBuilder/resample2d(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-resample2d-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-resample2d-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlresample2doptions" id="ref-for-dictdef-mlresample2doptions"><c- n>MLResample2dOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/resample2d(input, options), MLGraphBuilder/resample2d(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-resample2d-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-resample2d-input-options-options"></a></dfn> = {});
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑤⓪"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑦⑨"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-resample2d" id="ref-for-dom-mlgraphbuilder-resample2d"><c- g>resample2d</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑧⓪"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/resample2d(input, options), MLGraphBuilder/resample2d(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-resample2d-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-resample2d-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlresample2doptions" id="ref-for-dictdef-mlresample2doptions"><c- n>MLResample2dOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/resample2d(input, options), MLGraphBuilder/resample2d(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-resample2d-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-resample2d-input-options-options"></a></dfn> = {});
 };
 </pre>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③②④">MLOperand</a></code>. The input 4-D tensor.</p>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑧①">MLOperand</a></code>. The input 4-D tensor.</p>
      <li data-md>
       <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlresample2doptions" id="ref-for-dictdef-mlresample2doptions①">MLResample2dOptions</a></code>. The optional parameters of the operation.</p>
     </ul>
-    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③②⑤">MLOperand</a></code>. The output 4-D tensor.</p>
+    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑧②">MLOperand</a></code>. The output 4-D tensor.</p>
    </div>
    <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlresample2doptions" id="ref-for-dictdef-mlresample2doptions②">MLResample2dOptions</a></code> has the following members:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLResample2dOptions" data-dfn-type="dict-member" data-export id="dom-mlresample2doptions-mode"><code>mode</code></dfn>, <span> of type <a data-link-type="idl-name" href="#enumdef-mlinterpolationmode" id="ref-for-enumdef-mlinterpolationmode①">MLInterpolationMode</a>, defaulting to <code>"nearest-neighbor"</code></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="#enumdef-mlinterpolationmode" id="ref-for-enumdef-mlinterpolationmode②">MLInterpolationMode</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string①④">string</a>.
+     <p>An <code class="idl"><a data-link-type="idl" href="#enumdef-mlinterpolationmode" id="ref-for-enumdef-mlinterpolationmode②">MLInterpolationMode</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string①③">string</a>.
 Specifies the interpolation algorithm used to fill the output tensor values.
 The default value is <code>"nearest-neighbor"</code>, standing for <em>Nearest Neighbor</em> interpolation.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLResample2dOptions" data-dfn-type="dict-member" data-export id="dom-mlresample2doptions-scales"><code>scales</code></dfn>, <span> of type sequence&lt;<a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float④⓪">float</a>></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLResample2dOptions" data-dfn-type="dict-member" data-export id="dom-mlresample2doptions-scales"><code>scales</code></dfn>, <span> of type sequence&lt;<a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float④⑦">float</a>></span>
     <dd data-md>
-     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float④①">float</a></code> of length 2.
+     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float④⑧">float</a></code> of length 2.
 Specifies the scaling factor in each spatial dimensions of the input: [scaleHeight, scaleWidth].
 The default value is [1.0, 1.0].</p>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLResample2dOptions" data-dfn-type="dict-member" data-export id="dom-mlresample2doptions-sizes"><code>sizes</code></dfn>, <span> of type <code class="idl-code">sequence&lt;unsigned long></code></span>
     <dd data-md>
-     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑤⑦">unsigned long</a></code> of length 2.
+     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑥⑥">unsigned long</a></code> of length 2.
 Specifies the target sizes for each spatial dimensions of the input: [sizeHeight, sizeWidth]. When the target sizes are specified, the <code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-scales" id="ref-for-dom-mlresample2doptions-scales①">scales</a></code> argument is ignored, since the scaling factor values are derived from the target sizes of each spatial dimension of the input.</p>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLResample2dOptions" data-dfn-type="dict-member" data-export id="dom-mlresample2doptions-axes"><code>axes</code></dfn>, <span> of type <code class="idl-code">sequence&lt;unsigned long></code></span>
     <dd data-md>
-     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑤⑧">unsigned long</a></code> of length 2.
+     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑥⑦">unsigned long</a></code> of length 2.
 Specifies the two consecutive dimensions of the input tensor to which the interpolation algorithm applies. The valid values in the sequence are [0, 1], [1, 2] or [2, 3].
 The default value is [2, 3].</p>
    </dl>
@@ -6579,13 +7310,13 @@ <h4 class="heading settled" data-level="7.6.29" id="api-mlgraphbuilder-resample2
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-scales" id="ref-for-dom-mlresample2doptions-scales②">scales</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑤②">exist</a>, set it to to <code>« 1.0, 1.0 »</code>.</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-scales" id="ref-for-dom-mlresample2doptions-scales②">scales</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑤①">exist</a>, set it to to <code>« 1.0, 1.0 »</code>.</p>
       <li data-md>
-       <p>Otherwise, if any of its values is not greater than 0, or if its <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size④⑥">size</a> is not 2, return false.</p>
+       <p>Otherwise, if any of its values is not greater than 0, or if its <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size④⑦">size</a> is not 2, return false.</p>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-sizes" id="ref-for-dom-mlresample2doptions-sizes①">sizes</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑤③">exists</a>, and if its size is not 2, or if any of its values is not greater than 0, return false.</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-sizes" id="ref-for-dom-mlresample2doptions-sizes①">sizes</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑤②">exists</a>, and if its size is not 2, or if any of its values is not greater than 0, return false.</p>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-axes" id="ref-for-dom-mlresample2doptions-axes①">axes</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑤④">exists</a>, set it to <code>« 2, 3 »</code>.</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-axes" id="ref-for-dom-mlresample2doptions-axes①">axes</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑤③">exists</a>, set it to <code>« 2, 3 »</code>.</p>
       <li data-md>
        <p>Otherwise, if its value is not one of <code>« 0, 1», « 1, 2», « 2, 3 »</code>, return false.</p>
       <li data-md>
@@ -6598,14 +7329,14 @@ <h4 class="heading settled" data-level="7.6.29" id="api-mlgraphbuilder-resample2
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p>Let <var>desc</var> be an <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor②③">MLOperandDescriptor</a></code> initialized to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑧⑤">[[descriptor]]</a></code>.</p>
+       <p>Let <var>desc</var> be an <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor②⑤">MLOperandDescriptor</a></code> initialized to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑨⑤">[[descriptor]]</a></code>.</p>
       <li data-md>
-       <p>For <var>index</var> in <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#the-range" id="ref-for-the-range⑥">the range</a> 0 to the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size④⑦">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-axes" id="ref-for-dom-mlresample2doptions-axes②">axes</a></code>, exclusive:</p>
+       <p>For <var>index</var> in <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#the-range" id="ref-for-the-range①⓪">the range</a> 0 to the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size④⑧">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-axes" id="ref-for-dom-mlresample2doptions-axes②">axes</a></code>, exclusive:</p>
        <ol>
         <li data-md>
-         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-sizes" id="ref-for-dom-mlresample2doptions-sizes②">sizes</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑤⑤">exists</a>, set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑧⑥">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑧④">dimensions</a></code>[<var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-axes" id="ref-for-dom-mlresample2doptions-axes③">axes</a></code>[<var>index</var>]] to <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-sizes" id="ref-for-dom-mlresample2doptions-sizes③">sizes</a></code>[<var>index</var>] and return <var>desc</var>.</p>
+         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-sizes" id="ref-for-dom-mlresample2doptions-sizes②">sizes</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑤④">exists</a>, set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑨⑥">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑨⑤">dimensions</a></code>[<var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-axes" id="ref-for-dom-mlresample2doptions-axes③">axes</a></code>[<var>index</var>]] to <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-sizes" id="ref-for-dom-mlresample2doptions-sizes③">sizes</a></code>[<var>index</var>] and return <var>desc</var>.</p>
         <li data-md>
-         <p>Otherwise, set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑧⑦">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑧⑤">dimensions</a></code>[<var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-axes" id="ref-for-dom-mlresample2doptions-axes④">axes</a></code>[<var>index</var>]] to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑧⑧">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑧⑥">dimensions</a></code>[<var>index</var>] multiplied by <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-scales" id="ref-for-dom-mlresample2doptions-scales③">scales</a></code>.</p>
+         <p>Otherwise, set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑨⑦">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑨⑥">dimensions</a></code>[<var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-axes" id="ref-for-dom-mlresample2doptions-axes④">axes</a></code>[<var>index</var>]] to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑨⑧">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑨⑦">dimensions</a></code>[<var>index</var>] multiplied by <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-scales" id="ref-for-dom-mlresample2doptions-scales③">scales</a></code>.</p>
        </ol>
       <li data-md>
        <p>Return <var>desc</var>.</p>
@@ -6617,61 +7348,61 @@ <h4 class="heading settled" data-level="7.6.29" id="api-mlgraphbuilder-resample2
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size④⑧">size</a> of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑧⑨">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑧⑦">dimensions</a></code> is not 4, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②④①">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑧①">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①③⓪">DOMException</a></code>.</p>
+       <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size④⑨">size</a> of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑨⑨">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑨⑧">dimensions</a></code> is not 4, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑧⑧">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑨⑤">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑤①">DOMException</a></code>.</p>
       <li data-md>
-       <p>If running the <a data-link-type="dfn" href="#mlgraphbuilder-check-resample-options" id="ref-for-mlgraphbuilder-check-resample-options">check resample options</a> steps given <var>options</var> returns false, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②④②">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑧②">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①③①">DOMException</a></code>.</p>
+       <p>If running the <a data-link-type="dfn" href="#mlgraphbuilder-check-resample-options" id="ref-for-mlgraphbuilder-check-resample-options">check resample options</a> steps given <var>options</var> returns false, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑧⑨">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑨⑥">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑤②">DOMException</a></code>.</p>
       <li data-md>
        <p>Let <var>desc</var> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-resample-output-sizes" id="ref-for-mlgraphbuilder-resample-output-sizes">resample output sizes</a> steps given <var>options</var>.</p>
        <ol>
         <li data-md>
-         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②④③">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②④④">throw</a> the error.</p>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑨⓪">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑨①">throw</a> the error.</p>
        </ol>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②④⑤">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror④⓪">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①③②">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑨②">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror④⑦">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑤③">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand①⑨">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this③④">this</a> and <var>desc</var>.</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand②⑥">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this④⓪">this</a> and <var>desc</var>.</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑤⑥">implementation-defined</a> platform operator for the resample 2D operation, given <var>options</var>.</p>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑥⑧">implementation-defined</a> platform operator for the resample 2D operation, given <var>options</var>.</p>
           <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot②⑥">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot③②">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑤⑦">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑥⑨">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑦④">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑨④">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑦⑤">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑨⑤">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
         <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑦⑥">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑨⑥">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.6.30" id="api-mlgraphbuilder-reshape-method"><span class="secno">7.6.30. </span><span class="content">The reshape() method</span><a class="self-link" href="#api-mlgraphbuilder-reshape-method"></a></h4>
+   <h4 class="heading settled" data-level="7.7.36" id="api-mlgraphbuilder-reshape-method"><span class="secno">7.7.36. </span><span class="content">reshape</span><a class="self-link" href="#api-mlgraphbuilder-reshape-method"></a></h4>
     Alter the shape of a tensor to a new shape. Reshape does not copy or change the content of the tensor. It just changes the tensor’s logical dimensions for the subsequent operations. 
-<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder④⑧"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③②⑥"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-reshape" id="ref-for-dom-mlgraphbuilder-reshape"><c- g>reshape</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③②⑦"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reshape(input, newShape)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reshape-input-newshape-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reshape-input-newshape-input"></a></dfn>, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②⑧"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑤⑨"><c- b>unsigned</c-> <c- b>long</c-></a>?> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reshape(input, newShape)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reshape-input-newshape-newshape"><code><c- g>newShape</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reshape-input-newshape-newshape"></a></dfn>);
+<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑤①"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑧③"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-reshape" id="ref-for-dom-mlgraphbuilder-reshape"><c- g>reshape</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑧④"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reshape(input, newShape)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reshape-input-newshape-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reshape-input-newshape-input"></a></dfn>, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence③⓪"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑥⑧"><c- b>unsigned</c-> <c- b>long</c-></a>?> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reshape(input, newShape)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reshape-input-newshape-newshape"><code><c- g>newShape</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reshape-input-newshape-newshape"></a></dfn>);
 };
 </pre>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③②⑧">MLOperand</a></code>. The input tensor.</p>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑧⑤">MLOperand</a></code>. The input tensor.</p>
      <li data-md>
-      <p><em>newShape</em>: a sequence of <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-nullable-type" id="ref-for-dfn-nullable-type">nullable</a> <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑥⓪">unsigned long</a></code>. The shape of the output tensor.
+      <p><em>newShape</em>: a sequence of <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-nullable-type" id="ref-for-dfn-nullable-type">nullable</a> <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑥⑨">unsigned long</a></code>. The shape of the output tensor.
 The number of elements implied by <em>newShape</em> must be the same as the
 number of elements in the input tensor. Only one component of <em>newShape</em> can be the special value of <code>null</code>. The size of the dimension
 with the value <code>null</code> is computed so that the total size remains
 constant.</p>
     </ul>
-    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③②⑨">MLOperand</a></code>. The output tensor. The values of the output
+    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑧⑥">MLOperand</a></code>. The output tensor. The values of the output
     tensor are the same as values of the input tensor. The shape of the output
     tensor is specified by the <em>newShape</em> argument.</p>
    </div>
@@ -6680,67 +7411,100 @@ <h4 class="heading settled" data-level="7.6.30" id="api-mlgraphbuilder-reshape-m
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑥④">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③③⓪">MLOperand</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑦①">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑧⑦">MLOperand</a></code>.</p>
       <li data-md>
-       <p>Let <var>outputShape</var> be an empty array of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑥①">unsigned long</a></code>.</p>
+       <p>Let <var>outputShape</var> be an empty array of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑦⓪">unsigned long</a></code>.</p>
       <li data-md>
        <p>If <var>newShape</var> is a scalar <a data-link-type="dfn" href="https://drafts.csswg.org/css-values-4/#number" id="ref-for-number">number</a>, set <var>outputShape</var> to <code>«  1  »</code>.</p>
       <li data-md>
-       <p>Otherwise, if <var>newShape</var> is an array of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑥②">unsigned long</a></code>:</p>
+       <p>Otherwise, if <var>newShape</var> is an array of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑦①">unsigned long</a></code>:</p>
        <ol>
         <li data-md>
-         <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size④⑨">size</a> of <var>newShape</var> is 0, set <var>outputShape</var> to <code>«  1  »</code> (reshaping to scalar).</p>
+         <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size⑤⓪">size</a> of <var>newShape</var> is 0, set <var>outputShape</var> to <code>«  1  »</code> (reshaping to scalar).</p>
         <li data-md>
-         <p>If <var>newShape</var> contains more than one <code>null</code> value, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②④⑥">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑧③">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①③③">DOMException</a></code>.</p>
+         <p>If <var>newShape</var> contains more than one <code>null</code> value, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑨③">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑨⑦">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑤④">DOMException</a></code>.</p>
         <li data-md>
-         <p>If any value in <var>newShape</var> is 0, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②④⑦">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑧④">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①③④">DOMException</a></code>.</p>
+         <p>If any value in <var>newShape</var> is 0, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑨④">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑨⑧">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑤⑤">DOMException</a></code>.</p>
         <li data-md>
-         <p>Let <var>inputElementCount</var> be the product of all elements in <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑨⓪">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑧⑧">dimensions</a></code>.</p>
+         <p>Let <var>inputElementCount</var> be the product of all elements in <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①⓪⓪">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑨⑨">dimensions</a></code>.</p>
         <li data-md>
          <p>If <var>newShape</var> contains a <code>null</code> value, set that value to <var>inputElementCount</var> divided by the product of all other values in <var>newShape</var>.</p>
          <ol>
           <li data-md>
-           <p>If that value is too large for <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑥③">unsigned long</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②④⑧">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑧⑤">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①③⑤">DOMException</a></code>.</p>
+           <p>If that value is too large for <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑦②">unsigned long</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑨⑤">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑨⑨">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑤⑥">DOMException</a></code>.</p>
          </ol>
         <li data-md>
-         <p>If product of all values in <var>newShape</var> is not equal to <var>inputElementCount</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②④⑨">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑧⑥">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①③⑥">DOMException</a></code>.</p>
+         <p>If product of all values in <var>newShape</var> is not equal to <var>inputElementCount</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑨⑥">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror①⓪⓪">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑤⑦">DOMException</a></code>.</p>
        </ol>
       <li data-md>
-       <p>Let <var>desc</var> be a copy of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑨①">[[descriptor]]</a></code>.</p>
+       <p>Let <var>desc</var> be a copy of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①⓪①">[[descriptor]]</a></code>.</p>
       <li data-md>
-       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑧⑨">dimensions</a></code> to <var>newShape</var>.</p>
+       <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⓪⓪">dimensions</a></code> to <var>newShape</var>.</p>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑤⓪">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror④①">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①③⑦">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑨⑦">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror④⑧">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑤⑧">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand②⓪">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this③⑤">this</a> and <var>desc</var>.</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand②⑦">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this④①">this</a> and <var>desc</var>.</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑤⑧">implementation-defined</a> platform operator for the reshape operation.</p>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑦⓪">implementation-defined</a> platform operator for the reshape operation.</p>
           <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot②⑦">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot③③">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑤⑨">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑦①">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑦⑦">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑨⑦">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑦⑧">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑨⑧">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
         <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑦⑨">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑨⑨">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.6.31" id="api-mlgraphbuilder-sigmoid-method"><span class="secno">7.6.31. </span><span class="content">The sigmoid() method</span><a class="self-link" href="#api-mlgraphbuilder-sigmoid-method"></a></h4>
+   <div class="note" role="note">
+    <details open>
+     <summary> Many shape-related operations such as <a href="https://pytorch.org/docs/stable/generated/torch.squeeze.html">squeeze</a>, <a href="https://pytorch.org/docs/stable/generated/torch.unsqueeze.html">unsqueeze</a>, and <a href="https://pytorch.org/docs/stable/generated/torch.flatten.html">flatten</a> can be generically implemented using the <em>reshape</em>}} operation as follows: </summary>
+<pre class="highlight"><c- c1>// Returns a tensor with all specified dimensions of input of size 1 removed.</c->
+<c- a>function</c-> squeeze<c- p>(</c->input<c- p>,</c-> axes<c- p>)</c-> <c- p>{</c->
+  <c- k>if</c-> <c- p>(</c-><c- o>!</c->axes<c- p>)</c-> axes <c- o>=</c-> <c- p>[];</c->
+  <c- k>if</c-> <c- p>(</c-><c- o>!</c->axes<c- p>.</c->length<c- p>)</c->
+    input<c- p>.</c->shape<c- p>().</c->forEach<c- p>((</c->item<c- p>,</c-> i<c- p>)</c-> <c- p>=></c-> <c- p>{</c-> axes<c- p>.</c->push<c- p>(</c->i<c- p>);</c-> <c- p>});</c->
+  shape <c- o>=</c-> Array<c- p>.</c-><c- kr>from</c-><c- p>(</c->input<c- p>.</c->shape<c- p>());</c->
+  <c- k>for</c-> <c- p>(</c-><c- a>let</c-> axis <c- ow>in</c-> axes<c- p>.</c->sort<c- p>().</c->reverse<c- p>())</c->
+    <c- k>if</c-> <c- p>(</c->axis <c- o>&lt;</c-> shape<c- p>.</c->length <c- o>&amp;&amp;</c-> shape<c- p>[</c->axis<c- p>]</c-> <c- o>==</c-> <c- mf>1</c-><c- p>)</c->
+      shape<c- p>.</c->splice<c- p>(</c->axis<c- p>,</c-> <c- mf>1</c-><c- p>);</c->
+  <c- k>return</c-> builder<c- p>.</c->reshape<c- p>(</c->input<c- p>,</c-> shape<c- p>);</c->
+<c- p>}</c->
+
+<c- c1>// Returns a new tensor with a dimension of size one inserted at the specified position.</c->
+<c- a>function</c-> unsqueeze<c- p>(</c->input<c- p>,</c-> axes<c- p>)</c-> <c- p>{</c->
+  shape <c- o>=</c-> Array<c- p>.</c-><c- kr>from</c-><c- p>(</c->input<c- p>.</c->shape<c- p>());</c->
+  <c- k>for</c-><c- p>(</c-><c- a>let</c-> axis <c- ow>in</c-> axes<c- p>.</c->sort<c- p>())</c->
+    shape<c- p>.</c->splice<c- p>(</c->axis<c- p>,</c-> <c- mf>0</c-><c- p>,</c-> <c- mf>1</c-><c- p>);</c->
+  <c- k>return</c-> builder<c- p>.</c->reshape<c- p>(</c->input<c- p>,</c-> shape<c- p>);</c->
+<c- p>}</c->
+
+<c- c1>// Flattens input by reshaping it into a one-dimensional tensor. </c->
+<c- a>function</c-> flatten<c- p>(</c->input<c- p>,</c-> axis<c- p>)</c-> <c- p>{</c->
+  <c- k>if</c-> <c- p>(</c->axis <c- o>></c-> input<c- p>.</c->shape<c- p>().</c->length<c- p>)</c-> <c- k>return</c-> input<c- p>;</c->
+  <c- a>let</c-> before <c- o>=</c-> axis<c- p>.</c->slice<c- p>(</c-><c- mf>0</c-><c- p>,</c-> axis<c- p>).</c->reduce<c- p>((</c->a<c- p>,</c-> b<c- p>)</c-> <c- p>=></c-> <c- p>{</c-> a <c- o>*</c-> b<c- p>;</c-> <c- p>});</c->
+  <c- a>let</c-> after <c- o>=</c-> axis<c- p>.</c->slice<c- p>(</c->axis<c- p>,</c-> input<c- p>.</c->shape<c- p>().</c->length<c- p>).</c->reduce<c- p>((</c->a<c- p>,</c-> b<c- p>)</c-> <c- p>=></c-> <c- p>{</c-> a <c- o>*</c-> b<c- p>;</c-> <c- p>});</c->
+  <c- k>return</c-> builder<c- p>.</c->reshape<c- p>(</c->input<c- p>,</c-> <c- p>[</c->before<c- p>,</c-> after<c- p>]);</c->
+<c- p>}</c->
+</pre>
+    </details>
+   </div>
+   <h4 class="heading settled" data-level="7.7.37" id="api-mlgraphbuilder-sigmoid-method"><span class="secno">7.7.37. </span><span class="content">sigmoid</span><a class="self-link" href="#api-mlgraphbuilder-sigmoid-method"></a></h4>
     Compute the <a href="https://en.wikipedia.org/wiki/Sigmoid_function">sigmoid function</a> of the input tensor. The calculation follows the expression <code>1 / (exp(-x) + 1)</code>. 
-<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder④⑨"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③③①"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-sigmoid" id="ref-for-dom-mlgraphbuilder-sigmoid"><c- g>sigmoid</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③③②"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/sigmoid(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-sigmoid-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-sigmoid-input-input"></a></dfn>);
-  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation④⑦"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="method" href="#sigmoid-noargs" id="ref-for-sigmoid-noargs"><c- g>sigmoid</c-></a>();
+<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑤②"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑧⑧"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-sigmoid" id="ref-for-dom-mlgraphbuilder-sigmoid"><c- g>sigmoid</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑧⑨"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/sigmoid(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-sigmoid-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-sigmoid-input-input"></a></dfn>);
+  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation④⑧"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="method" href="#sigmoid-noargs" id="ref-for-sigmoid-noargs"><c- g>sigmoid</c-></a>();
 };
 </pre>
    <div class="note" role="note">
@@ -6757,17 +7521,17 @@ <h4 class="heading settled" data-level="7.6.31" id="api-mlgraphbuilder-sigmoid-m
 </pre>
     </details>
    </div>
-   <h5 class="heading settled" data-level="7.6.31.1" id="api-mlgraphbuilder-sigmoid-input"><span class="secno">7.6.31.1. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-sigmoid" id="ref-for-dom-mlgraphbuilder-sigmoid①">sigmoid(input)</a></code> method</span><a class="self-link" href="#api-mlgraphbuilder-sigmoid-input"></a></h5>
+   <h5 class="heading settled" data-level="7.7.37.1" id="api-mlgraphbuilder-sigmoid-input"><span class="secno">7.7.37.1. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-sigmoid" id="ref-for-dom-mlgraphbuilder-sigmoid①">sigmoid(input)</a></code></span><a class="self-link" href="#api-mlgraphbuilder-sigmoid-input"></a></h5>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③③③">MLOperand</a></code>. The input tensor.</p>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑨⓪">MLOperand</a></code>. The input tensor.</p>
     </ul>
     <p><strong>Returns:</strong></p>
     <ul>
      <li data-md>
-      <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③③④">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
+      <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑨①">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
     </ul>
    </div>
    <details class="algorithm" data-algorithm="sigmoid(input)" data-algorithm-for="MLGraphBuilder" open>
@@ -6775,35 +7539,35 @@ <h5 class="heading settled" data-level="7.6.31.1" id="api-mlgraphbuilder-sigmoid
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑥⑤">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③③⑤">MLOperand</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑦②">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑨②">MLOperand</a></code>.</p>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑤①">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror④②">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①③⑧">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑨⑧">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror④⑨">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑤⑨">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand①⓪">copying an MLOperand</a> given <var>input</var>.</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand①①">copying an MLOperand</a> given <var>input</var>.</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑥⓪">implementation-defined</a> platform operator for the sigmoid operation.</p>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑦②">implementation-defined</a> platform operator for the sigmoid operation.</p>
           <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot②⑧">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot③④">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑥①">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑦③">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑧⓪">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①⓪⓪">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑧①">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①⓪①">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
         <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑧②">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①⓪②">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
      </ol>
     </div>
    </details>
-   <h5 class="heading settled" data-level="7.6.31.2" id="api-mlgraphbuilder-sigmoid"><span class="secno">7.6.31.2. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#sigmoid-noargs" id="ref-for-sigmoid-noargs①">sigmoid()</a></code> method</span><a class="self-link" href="#api-mlgraphbuilder-sigmoid"></a></h5>
+   <h5 class="heading settled" data-level="7.7.37.2" id="api-mlgraphbuilder-sigmoid"><span class="secno">7.7.37.2. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#sigmoid-noargs" id="ref-for-sigmoid-noargs①">sigmoid()</a></code></span><a class="self-link" href="#api-mlgraphbuilder-sigmoid"></a></h5>
    <div>
      <strong>Arguments:</strong> 
     <ul>
@@ -6813,7 +7577,7 @@ <h5 class="heading settled" data-level="7.6.31.2" id="api-mlgraphbuilder-sigmoid
     <p><strong>Returns:</strong></p>
     <ul>
      <li data-md>
-      <p>an <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation④⑧">MLActivation</a></code>. The activation function representing the sigmoid operation.</p>
+      <p>an <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation④⑨">MLActivation</a></code>. The activation function representing the sigmoid operation.</p>
     </ul>
    </div>
    <details class="algorithm" data-algorithm="sigmoid()" data-algorithm-for="MLGraphBuilder" open>
@@ -6821,77 +7585,77 @@ <h5 class="heading settled" data-level="7.6.31.2" id="api-mlgraphbuilder-sigmoid
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p>Let <var>op</var> be the result of <a data-link-type="dfn" href="#create-an-mlactivation" id="ref-for-create-an-mlactivation⑦">creating an MLActivation</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this③⑥">this</a> and <code>"sigmoid"</code>.</p>
+       <p>Let <var>op</var> be the result of <a data-link-type="dfn" href="#create-an-mlactivation" id="ref-for-create-an-mlactivation⑦">creating an MLActivation</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this④②">this</a> and <code>"sigmoid"</code>.</p>
        <ol>
         <li data-md>
-         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑤②">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑤③">throw</a> the error.</p>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑨⑨">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③⓪⓪">throw</a> the error.</p>
        </ol>
       <li data-md>
        <p>Return <var>op</var>.</p>
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.6.32" id="api-mlgraphbuilder-slice"><span class="secno">7.6.32. </span><span class="content">The slice() method</span><a class="self-link" href="#api-mlgraphbuilder-slice"></a></h4>
+   <h4 class="heading settled" data-level="7.7.38" id="api-mlgraphbuilder-slice"><span class="secno">7.7.38. </span><span class="content">slice</span><a class="self-link" href="#api-mlgraphbuilder-slice"></a></h4>
     Produce a slice of the input tensor. 
-<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑤⓪"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③③⑥"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-slice" id="ref-for-dom-mlgraphbuilder-slice"><c- g>slice</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③③⑦"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/slice(input, starts, sizes)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-slice-input-starts-sizes-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-slice-input-starts-sizes-input"></a></dfn>, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②⑨"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑥④"><c- b>unsigned</c-> <c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/slice(input, starts, sizes)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-slice-input-starts-sizes-starts"><code><c- g>starts</c-></code><a class="self-link" href="#dom-mlgraphbuilder-slice-input-starts-sizes-starts"></a></dfn>, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence③⓪"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑥⑤"><c- b>unsigned</c-> <c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/slice(input, starts, sizes)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-slice-input-starts-sizes-sizes"><code><c- g>sizes</c-></code><a class="self-link" href="#dom-mlgraphbuilder-slice-input-starts-sizes-sizes"></a></dfn>);
+<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑤③"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑨③"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-slice" id="ref-for-dom-mlgraphbuilder-slice"><c- g>slice</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑨④"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/slice(input, starts, sizes)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-slice-input-starts-sizes-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-slice-input-starts-sizes-input"></a></dfn>, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence③①"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑦③"><c- b>unsigned</c-> <c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/slice(input, starts, sizes)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-slice-input-starts-sizes-starts"><code><c- g>starts</c-></code><a class="self-link" href="#dom-mlgraphbuilder-slice-input-starts-sizes-starts"></a></dfn>, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence③②"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑦④"><c- b>unsigned</c-> <c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/slice(input, starts, sizes)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-slice-input-starts-sizes-sizes"><code><c- g>sizes</c-></code><a class="self-link" href="#dom-mlgraphbuilder-slice-input-starts-sizes-sizes"></a></dfn>);
 };
 </pre>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③③⑧">MLOperand</a></code>. The input tensor.</p>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑨⑤">MLOperand</a></code>. The input tensor.</p>
      <li data-md>
-      <p><em>starts</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑥⑥">unsigned long</a></code>. The sequence of unsigned integer values indicating the starting index to slice of each input dimension, of length N where N is the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank②①">rank</a> of the input tensor. For each dimension <em>d</em> of <em>input</em>, <em>starts[d]</em> indicates the starting index to slice in that dimension. The starting index must be in the range [0, input size - 1] in that dimension.</p>
+      <p><em>starts</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑦⑤">unsigned long</a></code>. The sequence of unsigned integer values indicating the starting index to slice of each input dimension, of length N where N is the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank③③">rank</a> of the input tensor. For each dimension <em>d</em> of <em>input</em>, <em>starts[d]</em> indicates the starting index to slice in that dimension. The starting index must be in the range [0, input size - 1] in that dimension.</p>
      <li data-md>
-      <p><em>sizes</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑥⑦">unsigned long</a></code>. The sequence of unsigned integer values indicating the number of elements to slice of each input dimension, of length N where N is the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank②②">rank</a> of the input tensor. For each dimension <em>d</em> of <em>input</em>, <em>sizes[d]</em> indicates the number of elements to slice in that dimension. The size must not be 0 and must satisfy the constraint <em>starting index + size &lt;= input size</em> in that dimension.</p>
+      <p><em>sizes</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑦⑥">unsigned long</a></code>. The sequence of unsigned integer values indicating the number of elements to slice of each input dimension, of length N where N is the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank③④">rank</a> of the input tensor. For each dimension <em>d</em> of <em>input</em>, <em>sizes[d]</em> indicates the number of elements to slice in that dimension. The size must not be 0 and must satisfy the constraint <em>starting index + size &lt;= input size</em> in that dimension.</p>
     </ul>
-    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③③⑨">MLOperand</a></code>. The output tensor of the same rank as the input tensor with tensor values stripped to the specified starting and ending indices in each dimension.</p>
+    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑨⑥">MLOperand</a></code>. The output tensor of the same rank as the input tensor with tensor values stripped to the specified starting and ending indices in each dimension.</p>
    </div>
    <details class="algorithm" data-algorithm="slice(input, starts, sizes)" data-algorithm-for="MLGraphBuilder" open>
     <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-slice"><code>slice(<var>input</var>, <var>starts</var>, <var>sizes</var>)</code></dfn> method steps are: </summary>
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑥⑥">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③④⓪">MLOperand</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑦③">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑨⑦">MLOperand</a></code>.</p>
       <li data-md>
-       <p>If <var>sizes</var>.size is 0, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑤④">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror④⓪">TypeError</a></code>.</p>
+       <p>If <var>sizes</var>.size is 0, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③⓪①">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror④⓪">TypeError</a></code>.</p>
       <li data-md>
-       <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size⑤⓪">size</a> of <var>starts</var> and <var>sizes</var> is not equal to the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank②③">rank</a> of <var>input</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑤⑤">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror④①">TypeError</a></code>.</p>
+       <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size⑤①">size</a> of <var>starts</var> and <var>sizes</var> is not equal to the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank③⑤">rank</a> of <var>input</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③⓪②">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror④①">TypeError</a></code>.</p>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑤⑥">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror④③">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①③⑨">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③⓪③">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror⑤⓪">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑥⓪">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand①①">copying an MLOperand</a> given <var>input</var>.</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand①②">copying an MLOperand</a> given <var>input</var>.</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑥②">implementation-defined</a> platform operator for the slice operation, given <var>starts</var> and <var>sizes</var>.</p>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑦④">implementation-defined</a> platform operator for the slice operation, given <var>starts</var> and <var>sizes</var>.</p>
           <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot②⑨">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot③⑤">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑥③">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑦⑤">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑧③">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①⓪③">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑧④">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①⓪④">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
         <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑧⑤">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①⓪⑤">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.6.33" id="api-mlgraphbuilder-softmax-method"><span class="secno">7.6.33. </span><span class="content">The softmax() method</span><a class="self-link" href="#api-mlgraphbuilder-softmax-method"></a></h4>
+   <h4 class="heading settled" data-level="7.7.39" id="api-mlgraphbuilder-softmax-method"><span class="secno">7.7.39. </span><span class="content">softmax</span><a class="self-link" href="#api-mlgraphbuilder-softmax-method"></a></h4>
     Compute the <a href="https://en.wikipedia.org/wiki/Softmax_function">softmax</a> values of
 the 2-D input tensor along axis 1. 
-<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑤①"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③④①"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-softmax" id="ref-for-dom-mlgraphbuilder-softmax"><c- g>softmax</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③④②"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/softmax(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-softmax-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-softmax-input-input"></a></dfn>);
-  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation④⑨"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="method" href="#softmax-noargs" id="ref-for-softmax-noargs①"><c- g>softmax</c-></a>();
+<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑤④"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑨⑧"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-softmax" id="ref-for-dom-mlgraphbuilder-softmax"><c- g>softmax</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑨⑨"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/softmax(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-softmax-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-softmax-input-input"></a></dfn>);
+  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation⑤⓪"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="method" href="#softmax-noargs" id="ref-for-softmax-noargs①"><c- g>softmax</c-></a>();
 };
 </pre>
    <div class="note" role="note">
@@ -6911,17 +7675,17 @@ <h4 class="heading settled" data-level="7.6.33" id="api-mlgraphbuilder-softmax-m
 </pre>
     </details>
    </div>
-   <h5 class="heading settled" data-level="7.6.33.1" id="api-mlgraphbuilder-softmax-input"><span class="secno">7.6.33.1. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-softmax" id="ref-for-dom-mlgraphbuilder-softmax①">softmax(input)</a></code> method</span><a class="self-link" href="#api-mlgraphbuilder-softmax-input"></a></h5>
+   <h5 class="heading settled" data-level="7.7.39.1" id="api-mlgraphbuilder-softmax-input"><span class="secno">7.7.39.1. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-softmax" id="ref-for-dom-mlgraphbuilder-softmax①">softmax(input)</a></code></span><a class="self-link" href="#api-mlgraphbuilder-softmax-input"></a></h5>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③④③">MLOperand</a></code>. The input 2-D tensor.</p>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④⓪⓪">MLOperand</a></code>. The input 2-D tensor.</p>
     </ul>
     <p><strong>Returns:</strong></p>
     <ul>
      <li data-md>
-      <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③④④">MLOperand</a></code>. The output 2-D tensor that contains the softmax results, of the same shape as <em>input</em>.</p>
+      <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④⓪①">MLOperand</a></code>. The output 2-D tensor that contains the softmax results, of the same shape as <em>input</em>.</p>
     </ul>
    </div>
    <details class="algorithm" data-algorithm="softmax(input)" data-algorithm-for="MLGraphBuilder" open>
@@ -6929,37 +7693,37 @@ <h5 class="heading settled" data-level="7.6.33.1" id="api-mlgraphbuilder-softmax
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑥⑦">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③④⑤">MLOperand</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑦④">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④⓪②">MLOperand</a></code>.</p>
       <li data-md>
-       <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size⑤①">size</a> of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑨②">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑨⓪">dimensions</a></code> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑤⑦">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror⑧⑦">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①④⓪">DOMException</a></code>.</p>
+       <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size⑤②">size</a> of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①⓪②">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⓪①">dimensions</a></code> is not 2, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③⓪④">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror①⓪①">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑥①">DOMException</a></code>.</p>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑤⑧">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror④④">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①④①">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③⓪⑤">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror⑤①">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑥②">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand①②">copying an MLOperand</a> given <var>input</var>.</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand①③">copying an MLOperand</a> given <var>input</var>.</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑥④">implementation-defined</a> platform operator for the softmax operation.</p>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑦⑥">implementation-defined</a> platform operator for the softmax operation.</p>
           <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot③⓪">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot③⑥">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑥⑤">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑦⑦">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑧⑥">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①⓪⑥">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑧⑦">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①⓪⑦">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
         <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑧⑧">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①⓪⑧">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
      </ol>
     </div>
    </details>
-   <h5 class="heading settled" data-level="7.6.33.2" id="api-mlgraphbuilder-softmax"><span class="secno">7.6.33.2. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#softmax-noargs" id="ref-for-softmax-noargs②">softmax()</a></code> method</span><a class="self-link" href="#api-mlgraphbuilder-softmax"></a></h5>
+   <h5 class="heading settled" data-level="7.7.39.2" id="api-mlgraphbuilder-softmax"><span class="secno">7.7.39.2. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#softmax-noargs" id="ref-for-softmax-noargs②">softmax()</a></code></span><a class="self-link" href="#api-mlgraphbuilder-softmax"></a></h5>
    <div>
      <strong>Arguments:</strong> 
     <ul>
@@ -6969,7 +7733,7 @@ <h5 class="heading settled" data-level="7.6.33.2" id="api-mlgraphbuilder-softmax
     <p><strong>Returns:</strong></p>
     <ul>
      <li data-md>
-      <p>an <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation⑤⓪">MLActivation</a></code>. The activation function representing the softmax operation.</p>
+      <p>an <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation⑤①">MLActivation</a></code>. The activation function representing the softmax operation.</p>
     </ul>
    </div>
    <details class="algorithm" data-algorithm="softmax()" data-algorithm-for="MLGraphBuilder" open>
@@ -6980,22 +7744,22 @@ <h5 class="heading settled" data-level="7.6.33.2" id="api-mlgraphbuilder-softmax
        <p>Let <var>op</var> be the result of <a data-link-type="dfn" href="#create-an-mlactivation" id="ref-for-create-an-mlactivation⑧">creating an MLActivation</a> given  and <code>"softmax"</code>.</p>
        <ol>
         <li data-md>
-         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑤⑨">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑥⓪">throw</a> the error.</p>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③⓪⑥">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③⓪⑦">throw</a> the error.</p>
        </ol>
       <li data-md>
        <p>Return <var>op</var>.</p>
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.6.34" id="api-mlgraphbuilder-softplus-method"><span class="secno">7.6.34. </span><span class="content">The softplus() method</span><a class="self-link" href="#api-mlgraphbuilder-softplus-method"></a></h4>
+   <h4 class="heading settled" data-level="7.7.40" id="api-mlgraphbuilder-softplus-method"><span class="secno">7.7.40. </span><span class="content">softplus</span><a class="self-link" href="#api-mlgraphbuilder-softplus-method"></a></h4>
     Compute the <a href="https://en.wikipedia.org/wiki/Rectifier_(neural_networks)#Softplus">softplus function</a> of the input tensor. The calculation follows the expression <code>ln(1 + exp(steepness * x)) / steepness</code>. 
 <pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlsoftplusoptions"><code><c- g>MLSoftplusOptions</c-></code></dfn> {
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float④②"><c- b>float</c-></a> <a class="idl-code" data-default="1" data-link-type="dict-member" data-type="float " href="#dom-mlsoftplusoptions-steepness" id="ref-for-dom-mlsoftplusoptions-steepness"><c- g>steepness</c-></a> = 1;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float④⑨"><c- b>float</c-></a> <a class="idl-code" data-default="1" data-link-type="dict-member" data-type="float " href="#dom-mlsoftplusoptions-steepness" id="ref-for-dom-mlsoftplusoptions-steepness"><c- g>steepness</c-></a> = 1;
 };
 
-<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑤②"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③④⑥"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-softplus" id="ref-for-dom-mlgraphbuilder-softplus"><c- g>softplus</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③④⑦"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/softplus(input, options), MLGraphBuilder/softplus(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-softplus-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-softplus-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlsoftplusoptions" id="ref-for-dictdef-mlsoftplusoptions"><c- n>MLSoftplusOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/softplus(input, options), MLGraphBuilder/softplus(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-softplus-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-softplus-input-options-options"></a></dfn> = {});
-  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation⑤①"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-softplus-options" id="ref-for-dom-mlgraphbuilder-softplus-options"><c- g>softplus</c-></a>(<c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlsoftplusoptions" id="ref-for-dictdef-mlsoftplusoptions①"><c- n>MLSoftplusOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/softplus(options), MLGraphBuilder/softplus()" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-softplus-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-softplus-options-options"></a></dfn> = {});
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑤⑤"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand④⓪③"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-softplus" id="ref-for-dom-mlgraphbuilder-softplus"><c- g>softplus</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand④⓪④"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/softplus(input, options), MLGraphBuilder/softplus(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-softplus-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-softplus-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlsoftplusoptions" id="ref-for-dictdef-mlsoftplusoptions"><c- n>MLSoftplusOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/softplus(input, options), MLGraphBuilder/softplus(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-softplus-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-softplus-input-options-options"></a></dfn> = {});
+  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation⑤②"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-softplus-options" id="ref-for-dom-mlgraphbuilder-softplus-options"><c- g>softplus</c-></a>(<c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlsoftplusoptions" id="ref-for-dictdef-mlsoftplusoptions①"><c- n>MLSoftplusOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/softplus(options), MLGraphBuilder/softplus()" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-softplus-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-softplus-options-options"></a></dfn> = {});
 };
 </pre>
    <div class="note" role="note">
@@ -7015,24 +7779,24 @@ <h4 class="heading settled" data-level="7.6.34" id="api-mlgraphbuilder-softplus-
    </div>
    <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlsoftplusoptions" id="ref-for-dictdef-mlsoftplusoptions②">MLSoftplusOptions</a></code> has the following members:</p>
    <dl>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLSoftplusOptions" data-dfn-type="dict-member" data-export id="dom-mlsoftplusoptions-steepness"><code>steepness</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float④③">float</a>, defaulting to <code>1</code></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLSoftplusOptions" data-dfn-type="dict-member" data-export id="dom-mlsoftplusoptions-steepness"><code>steepness</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float⑤⓪">float</a>, defaulting to <code>1</code></span>
     <dd data-md>
-     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float④④">float</a></code> scalar parameter.
+     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float⑤①">float</a></code> scalar parameter.
  The default value is 1.</p>
    </dl>
-   <h5 class="heading settled" data-level="7.6.34.1" id="api-mlgraphbuilder-softplus-input-options"><span class="secno">7.6.34.1. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-softplus" id="ref-for-dom-mlgraphbuilder-softplus①">softplus(input, options)</a></code> method</span><a class="self-link" href="#api-mlgraphbuilder-softplus-input-options"></a></h5>
+   <h5 class="heading settled" data-level="7.7.40.1" id="api-mlgraphbuilder-softplus-input-options"><span class="secno">7.7.40.1. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-softplus" id="ref-for-dom-mlgraphbuilder-softplus①">softplus(input, options)</a></code></span><a class="self-link" href="#api-mlgraphbuilder-softplus-input-options"></a></h5>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③④⑧">MLOperand</a></code>. The input tensor.</p>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④⓪⑤">MLOperand</a></code>. The input tensor.</p>
      <li data-md>
       <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlsoftplusoptions" id="ref-for-dictdef-mlsoftplusoptions③">MLSoftplusOptions</a></code>. The optional parameters of the operation.</p>
     </ul>
     <p><strong>Returns:</strong></p>
     <ul>
      <li data-md>
-      <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③④⑨">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
+      <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④⓪⑥">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
     </ul>
    </div>
    <details class="algorithm" data-algorithm="softplus(input, options)" data-algorithm-for="MLGraphBuilder" open>
@@ -7040,33 +7804,33 @@ <h5 class="heading settled" data-level="7.6.34.1" id="api-mlgraphbuilder-softplu
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑥①">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror④⑤">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①④②">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③⓪⑧">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror⑤②">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑥③">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand①③">copying an MLOperand</a> given <var>input</var>.</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand①④">copying an MLOperand</a> given <var>input</var>.</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑥⑥">implementation-defined</a> platform operator for the softplus operation, given <var>options</var>.</p>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑦⑧">implementation-defined</a> platform operator for the softplus operation, given <var>options</var>.</p>
           <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot③①">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot③⑦">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑥⑦">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑦⑨">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑧⑨">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①⓪⑨">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑨⓪">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①①⓪">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
         <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑨①">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①①①">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
      </ol>
     </div>
    </details>
-   <h5 class="heading settled" data-level="7.6.34.2" id="api-mlgraphbuilder-softplus-options"><span class="secno">7.6.34.2. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-softplus-options" id="ref-for-dom-mlgraphbuilder-softplus-options①">softplus(options)</a></code> method</span><a class="self-link" href="#api-mlgraphbuilder-softplus-options"></a></h5>
+   <h5 class="heading settled" data-level="7.7.40.2" id="api-mlgraphbuilder-softplus-options"><span class="secno">7.7.40.2. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-softplus-options" id="ref-for-dom-mlgraphbuilder-softplus-options①">softplus(options)</a></code></span><a class="self-link" href="#api-mlgraphbuilder-softplus-options"></a></h5>
    <div>
      <strong>Arguments:</strong> 
     <ul>
@@ -7076,7 +7840,7 @@ <h5 class="heading settled" data-level="7.6.34.2" id="api-mlgraphbuilder-softplu
     <p><strong>Returns:</strong></p>
     <ul>
      <li data-md>
-      <p>an <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation⑤②">MLActivation</a></code>. The activation function representing the softplus operation.</p>
+      <p>an <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation⑤③">MLActivation</a></code>. The activation function representing the softplus operation.</p>
     </ul>
    </div>
    <details class="algorithm" data-algorithm="softplus(options)" data-algorithm-for="MLGraphBuilder" open>
@@ -7084,21 +7848,21 @@ <h5 class="heading settled" data-level="7.6.34.2" id="api-mlgraphbuilder-softplu
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p>Let <var>op</var> be the result of <a data-link-type="dfn" href="#create-an-mlactivation" id="ref-for-create-an-mlactivation⑨">creating an MLActivation</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this③⑦">this</a>, <code>"softplus"</code> and <var>options</var>.</p>
+       <p>Let <var>op</var> be the result of <a data-link-type="dfn" href="#create-an-mlactivation" id="ref-for-create-an-mlactivation⑨">creating an MLActivation</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this④③">this</a>, <code>"softplus"</code> and <var>options</var>.</p>
        <ol>
         <li data-md>
-         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑥②">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑥③">throw</a> the error.</p>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③⓪⑨">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③①⓪">throw</a> the error.</p>
        </ol>
       <li data-md>
        <p>Return <var>op</var>.</p>
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.6.35" id="api-mlgraphbuilder-softsign-method"><span class="secno">7.6.35. </span><span class="content">The softsign() method</span><a class="self-link" href="#api-mlgraphbuilder-softsign-method"></a></h4>
+   <h4 class="heading settled" data-level="7.7.41" id="api-mlgraphbuilder-softsign-method"><span class="secno">7.7.41. </span><span class="content">softsign</span><a class="self-link" href="#api-mlgraphbuilder-softsign-method"></a></h4>
     Compute the <a href="https://pytorch.org/docs/stable/generated/torch.nn.Softsign.html">softsign function</a> of the input tensor. The calculation follows the expression <code>x / (1 + |x|)</code>. 
-<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑤③"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑤⓪"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-softsign" id="ref-for-dom-mlgraphbuilder-softsign"><c- g>softsign</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑤①"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/softsign(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-softsign-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-softsign-input-input"></a></dfn>);
-  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation⑤③"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="method" href="#softsign-noargs" id="ref-for-softsign-noargs"><c- g>softsign</c-></a>();
+<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑤⑥"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand④⓪⑦"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-softsign" id="ref-for-dom-mlgraphbuilder-softsign"><c- g>softsign</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand④⓪⑧"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/softsign(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-softsign-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-softsign-input-input"></a></dfn>);
+  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation⑤④"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="method" href="#softsign-noargs" id="ref-for-softsign-noargs"><c- g>softsign</c-></a>();
 };
 </pre>
    <div class="note" role="note">
@@ -7111,17 +7875,17 @@ <h4 class="heading settled" data-level="7.6.35" id="api-mlgraphbuilder-softsign-
 </pre>
     </details>
    </div>
-   <h5 class="heading settled" data-level="7.6.35.1" id="api-mlgraphbuilder-softsign-input"><span class="secno">7.6.35.1. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-softsign" id="ref-for-dom-mlgraphbuilder-softsign①">softsign(input)</a></code> method</span><a class="self-link" href="#api-mlgraphbuilder-softsign-input"></a></h5>
+   <h5 class="heading settled" data-level="7.7.41.1" id="api-mlgraphbuilder-softsign-input"><span class="secno">7.7.41.1. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-softsign" id="ref-for-dom-mlgraphbuilder-softsign①">softsign(input)</a></code></span><a class="self-link" href="#api-mlgraphbuilder-softsign-input"></a></h5>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑤②">MLOperand</a></code>. The input tensor.</p>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④⓪⑨">MLOperand</a></code>. The input tensor.</p>
     </ul>
     <p><strong>Returns:</strong></p>
     <ul>
      <li data-md>
-      <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑤③">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
+      <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④①⓪">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
     </ul>
    </div>
    <details class="algorithm" data-algorithm="softsign(input)" data-algorithm-for="MLGraphBuilder" open>
@@ -7129,35 +7893,35 @@ <h5 class="heading settled" data-level="7.6.35.1" id="api-mlgraphbuilder-softsig
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑥⑧">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑤④">MLOperand</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑦⑤">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④①①">MLOperand</a></code>.</p>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑥④">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror④⑥">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①④③">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③①①">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror⑤③">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑥④">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand①④">copying an MLOperand</a> given <var>input</var>.</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand①⑤">copying an MLOperand</a> given <var>input</var>.</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑥⑧">implementation-defined</a> platform operator for the softsign operation.</p>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑧⓪">implementation-defined</a> platform operator for the softsign operation.</p>
           <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot③②">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot③⑧">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑥⑨">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑧①">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑨②">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①①②">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑨③">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①①③">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
         <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑨④">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①①④">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
      </ol>
     </div>
    </details>
-   <h5 class="heading settled" data-level="7.6.35.2" id="api-mlgraphbuilder-softsign"><span class="secno">7.6.35.2. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#softsign-noargs" id="ref-for-softsign-noargs①">softsign()</a></code> method</span><a class="self-link" href="#api-mlgraphbuilder-softsign"></a></h5>
+   <h5 class="heading settled" data-level="7.7.41.2" id="api-mlgraphbuilder-softsign"><span class="secno">7.7.41.2. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#softsign-noargs" id="ref-for-softsign-noargs①">softsign()</a></code></span><a class="self-link" href="#api-mlgraphbuilder-softsign"></a></h5>
    <div>
      <strong>Arguments:</strong> 
     <ul>
@@ -7167,7 +7931,7 @@ <h5 class="heading settled" data-level="7.6.35.2" id="api-mlgraphbuilder-softsig
     <p><strong>Returns:</strong></p>
     <ul>
      <li data-md>
-      <p>an <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation⑤④">MLActivation</a></code>. The activation function representing the softsign operation.</p>
+      <p>an <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation⑤⑤">MLActivation</a></code>. The activation function representing the softsign operation.</p>
     </ul>
    </div>
    <details class="algorithm" data-algorithm="softsign()" data-algorithm-for="MLGraphBuilder" open>
@@ -7175,25 +7939,25 @@ <h5 class="heading settled" data-level="7.6.35.2" id="api-mlgraphbuilder-softsig
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p>Let <var>op</var> be the result of <a data-link-type="dfn" href="#create-an-mlactivation" id="ref-for-create-an-mlactivation①⓪">creating an MLActivation</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this③⑧">this</a> and <code>"softsign"</code>.</p>
+       <p>Let <var>op</var> be the result of <a data-link-type="dfn" href="#create-an-mlactivation" id="ref-for-create-an-mlactivation①⓪">creating an MLActivation</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this④④">this</a> and <code>"softsign"</code>.</p>
        <ol>
         <li data-md>
-         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑥⑤">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑥⑥">throw</a> the error.</p>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③①②">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③①③">throw</a> the error.</p>
        </ol>
       <li data-md>
        <p>Return <var>op</var>.</p>
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.6.36" id="api-mlgraphbuilder-split"><span class="secno">7.6.36. </span><span class="content">The split() method</span><a class="self-link" href="#api-mlgraphbuilder-split"></a></h4>
+   <h4 class="heading settled" data-level="7.7.42" id="api-mlgraphbuilder-split"><span class="secno">7.7.42. </span><span class="content">split</span><a class="self-link" href="#api-mlgraphbuilder-split"></a></h4>
     Split the input tensor into a number of sub tensors along the given axis. 
 <pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlsplitoptions"><code><c- g>MLSplitOptions</c-></code></dfn> {
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑥⑧"><c- b>unsigned</c-> <c- b>long</c-></a> <a class="idl-code" data-default="0" data-link-type="dict-member" data-type="unsigned long " href="#dom-mlsplitoptions-axis" id="ref-for-dom-mlsplitoptions-axis"><c- g>axis</c-></a> = 0;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑦⑦"><c- b>unsigned</c-> <c- b>long</c-></a> <a class="idl-code" data-default="0" data-link-type="dict-member" data-type="unsigned long " href="#dom-mlsplitoptions-axis" id="ref-for-dom-mlsplitoptions-axis"><c- g>axis</c-></a> = 0;
 };
 
-<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑤④"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence③①"><c- b>sequence</c-></a>&lt;<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑤⑤"><c- n>MLOperand</c-></a>> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-split" id="ref-for-dom-mlgraphbuilder-split"><c- g>split</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑤⑥"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/split(input, splits, options), MLGraphBuilder/split(input, splits)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-split-input-splits-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-split-input-splits-options-input"></a></dfn>,
-                          (<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑥⑨"><c- b>unsigned</c-> <c- b>long</c-></a> <c- b>or</c-> <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence③②"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑦⓪"><c- b>unsigned</c-> <c- b>long</c-></a>>) <dfn class="idl-code" data-dfn-for="MLGraphBuilder/split(input, splits, options), MLGraphBuilder/split(input, splits)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-split-input-splits-options-splits"><code><c- g>splits</c-></code><a class="self-link" href="#dom-mlgraphbuilder-split-input-splits-options-splits"></a></dfn>,
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑤⑦"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence③③"><c- b>sequence</c-></a>&lt;<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand④①②"><c- n>MLOperand</c-></a>> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-split" id="ref-for-dom-mlgraphbuilder-split"><c- g>split</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand④①③"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/split(input, splits, options), MLGraphBuilder/split(input, splits)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-split-input-splits-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-split-input-splits-options-input"></a></dfn>,
+                          (<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑦⑧"><c- b>unsigned</c-> <c- b>long</c-></a> <c- b>or</c-> <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence③④"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑦⑨"><c- b>unsigned</c-> <c- b>long</c-></a>>) <dfn class="idl-code" data-dfn-for="MLGraphBuilder/split(input, splits, options), MLGraphBuilder/split(input, splits)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-split-input-splits-options-splits"><code><c- g>splits</c-></code><a class="self-link" href="#dom-mlgraphbuilder-split-input-splits-options-splits"></a></dfn>,
                           <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlsplitoptions" id="ref-for-dictdef-mlsplitoptions"><c- n>MLSplitOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/split(input, splits, options), MLGraphBuilder/split(input, splits)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-split-input-splits-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-split-input-splits-options-options"></a></dfn> = {});
 };
 </pre>
@@ -7201,19 +7965,19 @@ <h4 class="heading settled" data-level="7.6.36" id="api-mlgraphbuilder-split"><s
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑤⑦">MLOperand</a></code>. The input tensor.</p>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④①④">MLOperand</a></code>. The input tensor.</p>
      <li data-md>
-      <p><em>splits</em>: an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑦①">unsigned long</a></code> or a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑦②">unsigned long</a></code>. If an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑦③">unsigned long</a></code>, it specifies the number of output tensors along the axis. The number must evenly divide the dimension size of <em>input</em> along <em>options.axis</em>. If a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑦④">unsigned long</a></code>, it specifies the sizes of each output tensor along the <em>options.axis</em>. The sum of sizes must equal to the dimension size of <em>input</em> along <em>options.axis</em>.</p>
+      <p><em>splits</em>: an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑧⓪">unsigned long</a></code> or a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑧①">unsigned long</a></code>. If an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑧②">unsigned long</a></code>, it specifies the number of output tensors along the axis. The number must evenly divide the dimension size of <em>input</em> along <em>options.axis</em>. If a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑧③">unsigned long</a></code>, it specifies the sizes of each output tensor along the <em>options.axis</em>. The sum of sizes must equal to the dimension size of <em>input</em> along <em>options.axis</em>.</p>
      <li data-md>
       <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlsplitoptions" id="ref-for-dictdef-mlsplitoptions①">MLSplitOptions</a></code>. The optional parameters of the operation.</p>
     </ul>
-    <p><strong>Returns:</strong> a sequence of <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑤⑧">MLOperand</a></code>. The splitted output tensors. If <em>splits</em> is an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑦⑤">unsigned long</a></code>, the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size⑤②">size</a> of the output sequence equals to <em>splits</em>. The shape of each output tensor is the same as <em>input</em> except the dimension size of <em>axis</em> equals to the quotient of dividing the dimension size of <em>input</em> along <em>axis</em> by <em>splits</em>. If <em>splits</em> is a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑦⑥">unsigned long</a></code>, the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size⑤③">size</a> of the output sequence equals to the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size⑤④">size</a> of <em>splits</em>. The shape of the i-th output tensor is the same as as <em>input</em> except along <em>axis</em> where the dimension size is <em>splits[i]</em>.</p>
+    <p><strong>Returns:</strong> a sequence of <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④①⑤">MLOperand</a></code>. The splitted output tensors. If <em>splits</em> is an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑧④">unsigned long</a></code>, the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size⑤③">size</a> of the output sequence equals to <em>splits</em>. The shape of each output tensor is the same as <em>input</em> except the dimension size of <em>axis</em> equals to the quotient of dividing the dimension size of <em>input</em> along <em>axis</em> by <em>splits</em>. If <em>splits</em> is a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑧⑤">unsigned long</a></code>, the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size⑤④">size</a> of the output sequence equals to the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size⑤⑤">size</a> of <em>splits</em>. The shape of the i-th output tensor is the same as as <em>input</em> except along <em>axis</em> where the dimension size is <em>splits[i]</em>.</p>
    </div>
    <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlsplitoptions" id="ref-for-dictdef-mlsplitoptions②">MLSplitOptions</a></code> has the following members:</p>
    <dl>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLSplitOptions" data-dfn-type="dict-member" data-export id="dom-mlsplitoptions-axis"><code>axis</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑦⑦">unsigned long</a>, defaulting to <code>0</code></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLSplitOptions" data-dfn-type="dict-member" data-export id="dom-mlsplitoptions-axis"><code>axis</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑧⑥">unsigned long</a>, defaulting to <code>0</code></span>
     <dd data-md>
-     <p>An <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑦⑧">unsigned long</a></code> scalar. The dimension along which to split. Its value must be in the range [0, N-1] where N is the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank②④">rank</a> of the input tensor.
+     <p>An <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑧⑦">unsigned long</a></code> scalar. The dimension along which to split. Its value must be in the range [0, N-1] where N is the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank③⑥">rank</a> of the input tensor.
 The default value is 0.</p>
    </dl>
    <details class="algorithm" data-algorithm="split(input, splits, options)" data-algorithm-for="MLGraphBuilder" open>
@@ -7221,32 +7985,32 @@ <h4 class="heading settled" data-level="7.6.36" id="api-mlgraphbuilder-split"><s
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑥⑨">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑤⑨">MLOperand</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑦⑥">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④①⑥">MLOperand</a></code>.</p>
       <li data-md>
-       <p>If <var>splits</var> is an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑦⑨">unsigned long</a></code>, and <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑨①">dimensions</a></code>[<var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlsplitoptions-axis" id="ref-for-dom-mlsplitoptions-axis①">axis</a></code>] % <var>splits</var> is not 0, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑥⑦">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror④②">TypeError</a></code>.</p>
+       <p>If <var>splits</var> is an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑧⑧">unsigned long</a></code>, and <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⓪②">dimensions</a></code>[<var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlsplitoptions-axis" id="ref-for-dom-mlsplitoptions-axis①">axis</a></code>] % <var>splits</var> is not 0, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③①④">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror④②">TypeError</a></code>.</p>
       <li data-md>
-       <p>If <var>splits</var> is a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑧⓪">unsigned long</a></code>, and the sum of its elements is not equal to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑨②">dimensions</a></code>[<var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlsplitoptions-axis" id="ref-for-dom-mlsplitoptions-axis②">axis</a></code>], then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑥⑧">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror④③">TypeError</a></code>.</p>
+       <p>If <var>splits</var> is a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑧⑨">unsigned long</a></code>, and the sum of its elements is not equal to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⓪③">dimensions</a></code>[<var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlsplitoptions-axis" id="ref-for-dom-mlsplitoptions-axis②">axis</a></code>], then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③①⑤">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror④③">TypeError</a></code>.</p>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑥⑨">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror④⑦">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①④④">DOMException</a></code>.</p>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③①⑥">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror⑤④">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑥⑤">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand①⑤">copying an MLOperand</a> given <var>input</var>.</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand①⑥">copying an MLOperand</a> given <var>input</var>.</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑦⓪">implementation-defined</a> platform operator for the split operation, given <var>splits</var> and <var>options</var>.</p>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑧②">implementation-defined</a> platform operator for the split operation, given <var>splits</var> and <var>options</var>.</p>
           <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot③③">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot③⑨">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑦①">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑧③">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑨⑤">[[operand]]</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①①⑤">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑨⑥">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①①⑥">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
         <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑨⑦">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①①⑦">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
        </ol>
       <li data-md>
        <p>Return <var>output</var>.</p>
@@ -7274,249 +8038,547 @@ <h4 class="heading settled" data-level="7.6.36" id="api-mlgraphbuilder-split"><s
 </pre>
     </details>
    </div>
-   <h4 class="heading settled" data-level="7.6.37" id="api-mlgraphbuilder-squeeze"><span class="secno">7.6.37. </span><span class="content">The squeeze() method</span><a class="self-link" href="#api-mlgraphbuilder-squeeze"></a></h4>
-    Reduce the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank②⑤">rank</a> of a tensor by eliminating dimensions with size 1 of the tensor shape. Squeeze only affects the tensor’s logical dimensions. It does not copy or change the content in the tensor. 
-<pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlsqueezeoptions"><code><c- g>MLSqueezeOptions</c-></code></dfn> {
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence③③"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑧①"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlsqueezeoptions-axes" id="ref-for-dom-mlsqueezeoptions-axes"><c- g>axes</c-></a>;
-};
-
-<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑤⑤"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑥⓪"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-squeeze" id="ref-for-dom-mlgraphbuilder-squeeze"><c- g>squeeze</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑥①"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/squeeze(input, options), MLGraphBuilder/squeeze(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-squeeze-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-squeeze-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlsqueezeoptions" id="ref-for-dictdef-mlsqueezeoptions"><c- n>MLSqueezeOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/squeeze(input, options), MLGraphBuilder/squeeze(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-squeeze-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-squeeze-input-options-options"></a></dfn> = {});
+   <h4 class="heading settled" data-level="7.7.43" id="api-mlgraphbuilder-tanh-method"><span class="secno">7.7.43. </span><span class="content">tanh</span><a class="self-link" href="#api-mlgraphbuilder-tanh-method"></a></h4>
+    Compute the <a href="https://en.wikipedia.org/wiki/Hyperbolic_functions">hyperbolic tangent function</a> of the input tensor. The calculation follows the expression <code>(exp(2 * x) - 1) / (exp(2 * x) + 1)</code>. 
+<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑤⑧"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand④①⑦"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-tanh" id="ref-for-dom-mlgraphbuilder-tanh"><c- g>tanh</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand④①⑧"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/tanh(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-tanh-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-tanh-input-input"></a></dfn>);
+  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation⑤⑥"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="method" href="#tanh-noargs" id="ref-for-tanh-noargs"><c- g>tanh</c-></a>();
 };
 </pre>
+   <div class="note" role="note">
+    <details open>
+     <summary> The behavior of this operation can be generically emulated from the usage of
+    other operations as follow. However, user agents typically have a more
+    efficient implementation for it, therefore its usage is encouraged from the
+    performance standpoint. </summary>
+<pre class="highlight"><c- k>return</c-> builder<c- p>.</c->div<c- p>(</c->
+          builder<c- p>.</c->sub<c- p>(</c->builder<c- p>.</c->exp<c- p>(</c->builder<c- p>.</c->mul<c- p>(</c->builder<c- p>.</c->constant<c- p>(</c-><c- mf>2</c-><c- p>),</c-> x<c- p>)),</c-> builder<c- p>.</c->constant<c- p>(</c-><c- mf>1</c-><c- p>)),</c->
+          builder<c- p>.</c->add<c- p>(</c->builder<c- p>.</c->exp<c- p>(</c->builder<c- p>.</c->mul<c- p>(</c->builder<c- p>.</c->constant<c- p>(</c-><c- mf>2</c-><c- p>),</c-> x<c- p>)),</c-> builder<c- p>.</c->constant<c- p>(</c-><c- mf>1</c-><c- p>)));</c->
+</pre>
+    </details>
+   </div>
+   <h5 class="heading settled" data-level="7.7.43.1" id="api-mlgraphbuilder-tanh-input"><span class="secno">7.7.43.1. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-tanh" id="ref-for-dom-mlgraphbuilder-tanh①">tanh(input)</a></code></span><a class="self-link" href="#api-mlgraphbuilder-tanh-input"></a></h5>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑥②">MLOperand</a></code>. The input tensor.</p>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④①⑨">MLOperand</a></code>. The input tensor.</p>
+    </ul>
+    <p><strong>Returns:</strong></p>
+    <ul>
      <li data-md>
-      <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlsqueezeoptions" id="ref-for-dictdef-mlsqueezeoptions①">MLSqueezeOptions</a></code>. The optional parameters of the operation.</p>
+      <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④②⓪">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
     </ul>
-    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑥③">MLOperand</a></code>. The output tensor of the same or reduced rank with the shape dimensions of size 1 eliminated.</p>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlsqueezeoptions" id="ref-for-dictdef-mlsqueezeoptions②">MLSqueezeOptions</a></code> has the following members:</p>
+   <details class="algorithm" data-algorithm="tanh(input)" data-algorithm-for="MLGraphBuilder" open>
+    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-tanh"><code>tanh(<var>input</var>)</code></dfn> method steps are: </summary>
+    <div class="algorithm-steps">
+     <ol>
+      <li data-md>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑦⑦">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④②①">MLOperand</a></code>.</p>
+      <li data-md>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③①⑦">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror⑤⑤">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑥⑥">DOMException</a></code>.</p>
+       <ol>
+        <li data-md>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand①⑦">copying an MLOperand</a> given <var>input</var>.</p>
+        <li data-md>
+         <p>Make a request to the underlying platform to:</p>
+         <ol>
+          <li data-md>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑧④">implementation-defined</a> platform operator for the hyperbolic tangent operation.</p>
+          <li data-md>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot④⓪">[[operator]]</a></code>.</p>
+          <li data-md>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑧⑤">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+          <li data-md>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①①⑧">[[operand]]</a></code>.</p>
+         </ol>
+        <li data-md>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①①⑨">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+        <li data-md>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①②⓪">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+       </ol>
+      <li data-md>
+       <p>Return <var>output</var>.</p>
+     </ol>
+    </div>
+   </details>
+   <h5 class="heading settled" data-level="7.7.43.2" id="api-mlgraphbuilder-tanh"><span class="secno">7.7.43.2. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#tanh-noargs" id="ref-for-tanh-noargs①">tanh()</a></code></span><a class="self-link" href="#api-mlgraphbuilder-tanh"></a></h5>
+   <div>
+     <strong>Arguments:</strong> 
+    <ul>
+     <li data-md>
+      <p>None.</p>
+    </ul>
+    <p><strong>Returns:</strong></p>
+    <ul>
+     <li data-md>
+      <p>an <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation⑤⑦">MLActivation</a></code>. The activation function representing the tanh operation.</p>
+    </ul>
+   </div>
+   <details class="algorithm" data-algorithm="tanh()" data-algorithm-for="MLGraphBuilder" open>
+    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="tanh-noargs"><code>tanh()</code></dfn> method steps are: </summary>
+    <div class="algorithm-steps">
+     <ol>
+      <li data-md>
+       <p>Let <var>op</var> be the result of <a data-link-type="dfn" href="#create-an-mlactivation" id="ref-for-create-an-mlactivation①①">creating an MLActivation</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this④⑤">this</a> and <code>"tanh"</code>.</p>
+       <ol>
+        <li data-md>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③①⑧">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③①⑨">throw</a> the error.</p>
+       </ol>
+      <li data-md>
+       <p>Return <var>op</var>.</p>
+     </ol>
+    </div>
+   </details>
+   <h4 class="heading settled" data-level="7.7.44" id="api-mlgraphbuilder-transpose"><span class="secno">7.7.44. </span><span class="content">transpose</span><a class="self-link" href="#api-mlgraphbuilder-transpose"></a></h4>
+    Permute the dimensions of the input tensor according to the <em>permutation</em> argument. 
+<pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mltransposeoptions"><code><c- g>MLTransposeOptions</c-></code></dfn> {
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence③⑤"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑨⓪"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mltransposeoptions-permutation" id="ref-for-dom-mltransposeoptions-permutation"><c- g>permutation</c-></a>;
+};
+
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑤⑨"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand④②②"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-transpose" id="ref-for-dom-mlgraphbuilder-transpose"><c- g>transpose</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand④②③"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/transpose(input, options), MLGraphBuilder/transpose(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-transpose-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-transpose-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mltransposeoptions" id="ref-for-dictdef-mltransposeoptions"><c- n>MLTransposeOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/transpose(input, options), MLGraphBuilder/transpose(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-transpose-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-transpose-input-options-options"></a></dfn> = {});
+};
+</pre>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mltransposeoptions" id="ref-for-dictdef-mltransposeoptions①">MLTransposeOptions</a></code> has the following members:</p>
    <dl>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLSqueezeOptions" data-dfn-type="dict-member" data-export id="dom-mlsqueezeoptions-axes"><code>axes</code></dfn>, <span> of type <code class="idl-code">sequence&lt;unsigned long></code></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLTransposeOptions" data-dfn-type="dict-member" data-export id="dom-mltransposeoptions-permutation"><code>permutation</code></dfn>, <span> of type <code class="idl-code">sequence&lt;unsigned long></code></span>
     <dd data-md>
-     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑧②">unsigned long</a></code>.
-Specifies the indices to the shape dimensions of size 1 to eliminate. The values in the sequence must be in the range [0, N-1] where N is the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank②⑥">rank</a> of the input tensor.
-When not specified, every shape dimensions of size 1 in the tensor are eliminated.</p>
+     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑨①">unsigned long</a></code> values.
+Specifies the values used to permute the output shape.
+The default value is [N-1, ..., 0], where N is the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank③⑦">rank</a> of the input tensor, e.g. [2,1,0] for a 3-D tensor.
+These default values cause the output to become a transposed tensor of the input. When specified, the number of values in the sequence must be the same as the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank③⑧">rank</a> of the input tensor, and the values in the sequence must be within the range from 0 to N-1 with no two or more same values found in the sequence.</p>
    </dl>
-   <details class="algorithm" data-algorithm="squeeze(input, options)" data-algorithm-for="MLGraphBuilder" open>
-    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export data-lt="squeeze(input, options)|squeeze(input)" id="dom-mlgraphbuilder-squeeze"><code>squeeze(<var>input</var>, <var>options</var>)</code></dfn> method steps are: </summary>
+   <div>
+     <strong>Arguments:</strong> 
+    <ul>
+     <li data-md>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④②④">MLOperand</a></code>. The input N-D tensor.</p>
+     <li data-md>
+      <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mltransposeoptions" id="ref-for-dictdef-mltransposeoptions②">MLTransposeOptions</a></code>. The optional parameters of the operation.</p>
+    </ul>
+    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④②⑤">MLOperand</a></code>. The permuted or transposed N-D tensor.</p>
+   </div>
+   <details class="algorithm" data-algorithm="transpose(input, options)" data-algorithm-for="MLGraphBuilder" open>
+    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export data-lt="transpose(input, options)|transpose(input)" id="dom-mlgraphbuilder-transpose"><code>transpose(<var>input</var>, <var>options</var>)</code></dfn> method steps are: </summary>
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑦⓪">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑥④">MLOperand</a></code>.</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑦⑧">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④②⑥">MLOperand</a></code>.</p>
       <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlsqueezeoptions-axes" id="ref-for-dom-mlsqueezeoptions-axes①">axes</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑤⑥">exists</a>, then:</p>
+       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mltransposeoptions-permutation" id="ref-for-dom-mltransposeoptions-permutation①">permutation</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑤⑤">exist</a>, let <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mltransposeoptions-permutation" id="ref-for-dom-mltransposeoptions-permutation②">permutation</a></code> be the reversed sequence of all indices for <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①⓪③">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⓪④">dimensions</a></code>.</p>
+      <li data-md>
+       <p>Otherwise if <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mltransposeoptions-permutation" id="ref-for-dom-mltransposeoptions-permutation③">permutation</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑤⑥">exists</a>:</p>
        <ol>
         <li data-md>
-         <p>Let <var>dimensions</var> be <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑨③">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑨③">dimensions</a></code>.</p>
+         <p>If the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank③⑨">rank</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mltransposeoptions-permutation" id="ref-for-dom-mltransposeoptions-permutation④">permutation</a></code> is not the same as the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank④⓪">rank</a> of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①⓪④">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⓪⑤">dimensions</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③②⓪">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror④④">TypeError</a></code>.</p>
         <li data-md>
-         <p>Let <var>axesLength</var> be the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size⑤⑤">size</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlsqueezeoptions-axes" id="ref-for-dom-mlsqueezeoptions-axes②">axes</a></code>.</p>
+         <p>If the values in <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mltransposeoptions-permutation" id="ref-for-dom-mltransposeoptions-permutation⑤">permutation</a></code> are not in <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#the-range" id="ref-for-the-range①①">the range</a> 0 and the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank④①">rank</a> of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①⓪⑤">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⓪⑥">dimensions</a></code> exclusive, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③②①">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror④⑤">TypeError</a></code>.</p>
         <li data-md>
-         <p>If <var>axesLength</var> is not smaller than the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank②⑦">rank</a> of <var>dimensions</var>,</p>
+         <p>If the values in <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mltransposeoptions-permutation" id="ref-for-dom-mltransposeoptions-permutation⑥">permutation</a></code> contain duplicate value, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③②②">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror④⑥">TypeError</a></code>.</p>
+       </ol>
+      <li data-md>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③②③">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror⑤⑥">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑥⑦">DOMException</a></code>.</p>
+       <ol>
         <li data-md>
-         <p>For <var>index</var> in <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#the-range" id="ref-for-the-range⑦">the range</a> 0 to <var>axesLength</var>, exclusive:</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand①⑧">copying an MLOperand</a> given <var>input</var>.</p>
+        <li data-md>
+         <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Let <var>oneDimIndex</var> be <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlsqueezeoptions-axes" id="ref-for-dom-mlsqueezeoptions-axes③">axes</a></code>[<var>index</var>].</p>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑧⑥">implementation-defined</a> platform operator for the transpose operation, given <var>options</var>.</p>
+          <li data-md>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot④①">[[operator]]</a></code>.</p>
+          <li data-md>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑧⑦">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
           <li data-md>
-           <p>If <var>dimensions</var>[<var>oneDimIndex</var>] is not 1, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑦⓪">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror④④">TypeError</a></code>.</p>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①②①">[[operand]]</a></code>.</p>
          </ol>
+        <li data-md>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①②②">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+        <li data-md>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①②③">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
        </ol>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑦①">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror④⑧">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①④⑤">DOMException</a></code>.</p>
+       <p>Return <var>output</var>.</p>
+     </ol>
+    </div>
+   </details>
+   <h4 class="heading settled" data-level="7.7.45" id="api-mlgraphbuilder-triangular"><span class="secno">7.7.45. </span><span class="content">triangular</span><a class="self-link" href="#api-mlgraphbuilder-triangular"></a></h4>
+    Given a 2-D tensor (matrix), return a 2-D tensor containing either the upper or lower triangular part of the input tensor. 
+<pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mltriangularoptions"><code><c- g>MLTriangularOptions</c-></code></dfn> {
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean②⑨"><c- b>boolean</c-></a> <a class="idl-code" data-default="true" data-link-type="dict-member" data-type="boolean " href="#dom-mltriangularoptions-upper" id="ref-for-dom-mltriangularoptions-upper"><c- g>upper</c-></a> = <c- b>true</c->;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long"><c- b>long</c-></a> <a class="idl-code" data-default="0" data-link-type="dict-member" data-type="long " href="#dom-mltriangularoptions-diagonal" id="ref-for-dom-mltriangularoptions-diagonal"><c- g>diagonal</c-></a> = 0;
+};
+
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑥⓪"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand④②⑦"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-triangular" id="ref-for-dom-mlgraphbuilder-triangular"><c- g>triangular</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand④②⑧"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/triangular(input, options), MLGraphBuilder/triangular(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-triangular-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-triangular-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mltriangularoptions" id="ref-for-dictdef-mltriangularoptions"><c- n>MLTriangularOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/triangular(input, options), MLGraphBuilder/triangular(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-triangular-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-triangular-input-options-options"></a></dfn> = {});
+};
+</pre>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mltriangularoptions" id="ref-for-dictdef-mltriangularoptions①">MLTriangularOptions</a></code> has the following members:</p>
+   <dl>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLTriangularOptions" data-dfn-type="dict-member" data-export id="dom-mltriangularoptions-upper"><code>upper</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean③⓪">boolean</a>, defaulting to <code>true</code></span>
+    <dd data-md>
+     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean③①">boolean</a></code> value. Indicate whether the output the upper or the lower part of the input matrix is retained. If not set, it is assumed to be true, indicating that the upper part is retained.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLTriangularOptions" data-dfn-type="dict-member" data-export id="dom-mltriangularoptions-diagonal"><code>diagonal</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long①">long</a>, defaulting to <code>0</code></span>
+    <dd data-md>
+     <p>A <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long②">long</a></code> value. Specify how many diagonals above or below the main diagonals of the input matrix are retained or excluded. If not set, this value is assumed to be 0, which means no diagonals other than the main diagonals are affected.</p>
+   </dl>
+   <div>
+     <strong>Arguments:</strong> 
+    <ul>
+     <li data-md>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④②⑨">MLOperand</a></code>. The input 2-D tensor.</p>
+     <li data-md>
+      <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mltriangularoptions" id="ref-for-dictdef-mltriangularoptions②">MLTriangularOptions</a></code>. The optional parameters of the operation.</p>
+    </ul>
+    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④③⓪">MLOperand</a></code>. The output 2-D tensor representing a triangular matrix.</p>
+   </div>
+   <details class="algorithm" data-algorithm="triangular(input, options)" data-algorithm-for="MLGraphBuilder" open>
+    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export data-lt="triangular(input, options)|triangular(input)" id="dom-mlgraphbuilder-triangular"><code>triangular(<var>input</var>, <var>options</var>)</code></dfn> method steps are: </summary>
+    <div class="algorithm-steps">
+     <ol>
+      <li data-md>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③②④">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror⑤⑦">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑥⑧">DOMException</a></code>.</p>
        <ol>
         <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand①⑥">copying an MLOperand</a> given <var>input</var>.</p>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand①⑨">copying an MLOperand</a> given <var>input</var>.</p>
         <li data-md>
          <p>Make a request to the underlying platform to:</p>
          <ol>
           <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑦②">implementation-defined</a> platform operator for the squeeze operation, given <var>options</var>.</p>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑧⑧">implementation-defined</a> platform operator for the triangular operation, given <var>options</var>.</p>
           <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot③④">[[operator]]</a></code>.</p>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot④②">[[operator]]</a></code>.</p>
           <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑦③">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑧⑨">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+          <li data-md>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①②④">[[operand]]</a></code>.</p>
+         </ol>
+        <li data-md>
+         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①②⑤">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+        <li data-md>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①②⑥">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+       </ol>
+      <li data-md>
+       <p>Return <var>output</var>.</p>
+     </ol>
+    </div>
+   </details>
+   <div class="example" id="example-9705b5c9">
+    <a class="self-link" href="#example-9705b5c9"></a> 
+    <details open>
+     <summary> Examples of how triangular works in different diagonal settings. </summary>
+<pre class="highlight"><c- c1>// input:</c->
+<c- c1>//   [[7, 1, 2],</c->
+<c- c1>//    [9, 4, 8],</c->
+<c- c1>//    [2, 6, 3]]</c->
+<c- a>const</c-> input <c- o>=</c-> builder<c- p>.</c->constant<c- p>(</c->
+<c- p>{</c-> dimensions<c- o>:</c-> <c- p>[</c-><c- mf>3</c-><c- p>,</c-><c- mf>3</c-><c- p>]</c-> <c- p>},</c-> <c- ow>new</c-> Float32Array<c- p>([</c-><c- mf>7</c-><c- p>,</c-><c- mf>1</c-><c- p>,</c-><c- mf>2</c-><c- p>,</c-><c- mf>9</c-><c- p>,</c-><c- mf>4</c-><c- p>,</c-><c- mf>8</c-><c- p>,</c-><c- mf>2</c-><c- p>,</c-><c- mf>6</c-><c- p>,</c-><c- mf>3</c-><c- p>]));</c->
+
+<c- c1>// upper triangular matrix:</c->
+<c- c1>//   [[7, 1, 2], </c->
+<c- c1>//    [0, 4, 8],</c->
+<c- c1>//    [0, 0, 3]]</c->
+<c- a>const</c-> upper <c- o>=</c-> builder<c- p>.</c->triangular<c- p>(</c->input<c- p>);</c->
+
+<c- c1>// upper triangular matrix with one additional set of diagonals excluded:</c->
+<c- c1>//   [[0, 1, 2], </c->
+<c- c1>//    [0, 0, 8],</c->
+<c- c1>//    [0, 0, 0]]</c->
+<c- a>const</c-> upperPositive <c- o>=</c-> builder<c- p>.</c->triangular<c- p>(</c->input<c- p>,</c-> <c- p>{</c-> diagonal<c- o>:</c-> <c- mf>1</c-> <c- p>});</c->
+
+<c- c1>// upper triangular matrix with one additional set of diagonals retained:</c->
+<c- c1>//   [[7, 1, 2], </c->
+<c- c1>//    [9, 4, 8],</c->
+<c- c1>//    [0, 6, 3]]</c->
+<c- a>const</c-> upperNegative <c- o>=</c-> builder<c- p>.</c->triangular<c- p>(</c->input<c- p>,</c-> <c- p>{</c-> diagonal<c- o>:</c-> <c- o>-</c-><c- mf>1</c-> <c- p>});</c->
+
+<c- c1>// lower triangular matrix:</c->
+<c- c1>//   [[7, 0, 0],</c->
+<c- c1>//    [9, 4, 0],</c->
+<c- c1>//    [2, 6, 3]]</c->
+<c- a>const</c-> lower <c- o>=</c-> builder<c- p>.</c->triangular<c- p>(</c->input<c- p>,</c-> <c- p>{</c-> upper<c- o>:</c-> <c- kc>false</c-> <c- p>});</c->
+
+<c- c1>// lower triangular matrix with one additional set of diagonals retained:</c->
+<c- c1>//   [[7, 1, 0],</c->
+<c- c1>//    [9, 4, 8],</c->
+<c- c1>//    [2, 6, 3]]</c->
+<c- a>const</c-> lowerPositive <c- o>=</c-> builder<c- p>.</c->triangular<c- p>(</c->input<c- p>,</c-> <c- p>{</c-> upper<c- o>:</c-> <c- kc>false</c-><c- p>,</c-> diagonal<c- o>:</c-> <c- mf>1</c-> <c- p>});</c->
+
+<c- c1>// lower triangular matrix with one additional set of diagonals excluded:</c->
+<c- c1>//   [[0, 0, 0],</c->
+<c- c1>//    [9, 0, 0],</c->
+<c- c1>//    [2, 6, 0]]</c->
+<c- a>const</c-> lowerNegative <c- o>=</c-> builder<c- p>.</c->triangular<c- p>(</c->input<c- p>,</c-> <c- p>{</c-> upper<c- o>:</c-> <c- kc>false</c-><c- p>,</c-> diagonal<c- o>:</c-> <c- o>-</c-><c- mf>1</c-> <c- p>});</c->
+</pre>
+    </details>
+   </div>
+   <h4 class="heading settled" data-level="7.7.46" id="api-mlgraphbuilder-where"><span class="secno">7.7.46. </span><span class="content">where</span><a class="self-link" href="#api-mlgraphbuilder-where"></a></h4>
+    Select the values from the input or the other tensor depending on the corresponding <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean③②">boolean</a></code> values of the condition tensor. The condition tensor is often the output of one of the element-wise logical operations. 
+   <p>The input tensors will be broadcasted according to <a data-link-type="biblio" href="#biblio-numpy-broadcasting-rule" title="General Broadcasting Rules of NumPy">[numpy-broadcasting-rule]</a> to the final output shape. The <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank④②">rank</a> of the output tensor is the maximum <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank④③">rank</a> of the input tensors.
+For each dimension of the output tensor, its size is the maximum size along that dimension of the input tensors.</p>
+<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑥①"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand④③①"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-where" id="ref-for-dom-mlgraphbuilder-where"><c- g>where</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand④③②"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/where(condition, input, other)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-where-condition-input-other-condition"><code><c- g>condition</c-></code><a class="self-link" href="#dom-mlgraphbuilder-where-condition-input-other-condition"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand④③③"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/where(condition, input, other)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-where-condition-input-other-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-where-condition-input-other-input"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand④③④"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/where(condition, input, other)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-where-condition-input-other-other"><code><c- g>other</c-></code><a class="self-link" href="#dom-mlgraphbuilder-where-condition-input-other-other"></a></dfn>);
+};
+</pre>
+   <div>
+     <strong>Arguments:</strong> 
+    <ul>
+     <li data-md>
+      <p><em>condition</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④③⑤">MLOperand</a></code>. The condition tensor.</p>
+     <li data-md>
+      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④③⑥">MLOperand</a></code>. The input tensor from which the value is selected when the condition of the corresponding element is set to true.</p>
+     <li data-md>
+      <p><em>other</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④③⑦">MLOperand</a></code>. The other tensor from which the value is selected when the condition of the corresponding element is set to false.</p>
+    </ul>
+    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④③⑧">MLOperand</a></code>. The output tensor that contains the values selected element-wise from either the input or the other tensor.</p>
+   </div>
+   <details class="algorithm" data-algorithm="where(condition, input, other)" data-algorithm-for="MLGraphBuilder" open>
+    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-where"><code>where(<var>condition</var>, <var>input</var>, <var>other</var>)</code></dfn> method steps are: </summary>
+    <div class="algorithm-steps">
+     <ol>
+      <li data-md>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑦⑨">Assert</a>: the type of <var>condition</var>, <var>input</var> and <var>other</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④③⑨">MLOperand</a></code>.</p>
+      <li data-md>
+       <p>If <var>condition</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①⓪⑥">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype④⑥">dataType</a></code> is not equal to "uint8", then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③②⑤">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror①⓪②">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑥⑨">DOMException</a></code>.</p>
+      <li data-md>
+       <p>If <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①⓪⑦">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype④⑦">dataType</a></code> is not equal to <var>other</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①⓪⑧">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype④⑧">dataType</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③②⑥">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror①⓪③">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑦⓪">DOMException</a></code>.</p>
+      <li data-md>
+       <p>Let <var>descriptor</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor②⑥">MLOperandDescriptor</a></code>.</p>
+      <li data-md>
+       <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype④⑨">dataType</a></code> to <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①⓪⑨">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype⑤⓪">dataType</a></code>.</p>
+      <li data-md>
+       <p>Let <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⓪⑦">dimensions</a></code> be the result of running the <a data-link-type="dfn" href="#mlgraphbuilder-broadcast-shapes" id="ref-for-mlgraphbuilder-broadcast-shapes③">broadcast-shapes</a> steps given <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①①⓪">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⓪⑧">dimensions</a></code> and <var>other</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①①①">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⓪⑨">dimensions</a></code>.</p>
+       <ol>
+        <li data-md>
+         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③②⑦">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③②⑧">throw</a> the error.</p>
+       </ol>
+      <li data-md>
+       <p>If <var>condition</var> is not unidirectionally broadcastable to <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①①⓪">dimensions</a></code> according to the <a data-link-type="biblio" href="#biblio-numpy-broadcasting-rule" title="General Broadcasting Rules of NumPy">[numpy-broadcasting-rule]</a>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③②⑨">throw</a> a "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#dataerror" id="ref-for-dataerror①⓪④">DataError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑦①">DOMException</a></code>.</p>
+      <li data-md>
+       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③③⓪">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror⑤⑧">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①⑦②">DOMException</a></code>.</p>
+       <ol>
+        <li data-md>
+         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand②⑧">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this④⑥">this</a> and <var>descriptor</var>.</p>
+        <li data-md>
+         <p>Make a request to the underlying platform to:</p>
+         <ol>
           <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑨⑧">[[operand]]</a></code>.</p>
+           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑨⓪">implementation-defined</a> platform operator for the where operation, given <var>condition</var>, <var>input</var> and <var>other</var>.</p>
+          <li data-md>
+           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot④③">[[operator]]</a></code>.</p>
+          <li data-md>
+           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑨①">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
+          <li data-md>
+           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①②⑦">[[operand]]</a></code>.</p>
          </ol>
         <li data-md>
-         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot⑨⑨">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
+         <p>Connect <var>condition</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①②⑧">[[operand]]</a></code>, <var>input</var> and <var>other</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①②⑨">[[operand]]</a></code> as inputs to <var>opImpl</var>.</p>
         <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①⓪⓪">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
+         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①③⓪">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
        </ol>
       <li data-md>
-       <p>Return <var>output</var>.</p>
+       <p>Return <var>output</var>.</p>
+     </ol>
+    </div>
+   </details>
+   <div class="note" role="note">
+    <details open>
+     <summary> The behavior of this operation can be generically emulated from the usage of other operations as follow. However, user agents typically have a more efficient implementation for it, therefore its usage is encouraged from the performance standpoint. </summary>
+<pre class="highlight"><c- a>const</c-> c <c- o>=</c-> builder<c- p>.</c->clamp<c- p>(</c->condition<c- p>,</c-> <c- p>{</c-><c- t>'minValue'</c-><c- o>:</c-> <c- mf>0</c-><c- p>,</c-> <c- t>'maxValue'</c-><c- o>:</c-> <c- mf>1</c-><c- p>});</c->
+builder<c- p>.</c->add<c- p>(</c->
+  builder<c- p>.</c->mul<c- p>(</c->
+    input<c- p>,</c->
+    builder<c- p>.</c->cast<c- p>(</c->c<c- p>,</c-> input<c- p>.</c->dataType<c- p>())),</c->
+  builder<c- p>.</c->mul<c- p>(</c->
+    other<c- p>,</c->
+    builder<c- p>.</c->cast<c- p>(</c->builder<c- p>.</c->not<c- p>(</c->c<c- p>),</c-> other<c- p>.</c->dataType<c- p>())));</c->
+</pre>
+    </details>
+   </div>
+   <h3 class="heading settled" data-level="7.8" id="api-mloperand"><span class="secno">7.8. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④④⓪">MLOperand</a></code> interface</span><a class="self-link" href="#api-mloperand"></a></h3>
+   <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④④①">MLOperand</a></code> represents an intermediary graph being constructed as a result of compositing parts of an operation into a fully composed operation.</p>
+   <p>For instance, an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④④②">MLOperand</a></code> may represent a constant feeding to an operation or the result from combining multiple constants together into an operation. See also <a href="#programming-model">§ 6 Programming Model</a>.</p>
+<pre class="idl highlight def">[<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#SecureContext" id="ref-for-SecureContext⑦"><c- g>SecureContext</c-></a>, <a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#Exposed" id="ref-for-Exposed①⓪"><c- g>Exposed</c-></a>=(<c- n>Window</c->, <c- n>DedicatedWorker</c->)]
+<c- b>interface</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="interface" data-export id="mloperand"><code><c- g>MLOperand</c-></code></dfn> {};
+</pre>
+   <div class="internal-slots">
+     <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④④③">MLOperand</a></code> has the following internal slots: 
+    <dl>
+     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOperand" data-dfn-type="attribute" data-export id="dom-mloperand-builder-slot"><code>[[builder]]</code></dfn> of type <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑥②">MLGraphBuilder</a></code>
+     <dd data-md>
+      <p>The <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④④④">MLOperand</a></code>'s associated builder object.</p>
+     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOperand" data-dfn-type="attribute" data-export id="dom-mloperand-descriptor-slot"><code>[[descriptor]]</code></dfn> of type <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor②⑦">MLOperandDescriptor</a></code>
+     <dd data-md>
+      <p>The <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④④⑤">MLOperand</a></code>'s descriptor.</p>
+     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOperand" data-dfn-type="attribute" data-export id="dom-mloperand-name-slot"><code>[[name]]</code></dfn> of type <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#string" id="ref-for-string①④">string</a>
+     <dd data-md>
+      <p>The <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④④⑥">MLOperand</a></code>'s name (only for input operands).</p>
+     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOperand" data-dfn-type="attribute" data-export id="dom-mloperand-operand-slot"><code>[[operand]]</code></dfn> of type <a data-link-type="dfn" href="https://w3c.github.io/FileAPI/#blob-url-entry-object" id="ref-for-blob-url-entry-object④">object</a>
+     <dd data-md>
+      <p>Reference to <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④④⑦">MLOperand</a></code>'s corresponding <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑨②">implementation-defined</a> platform operand object.</p>
+     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOperand" data-dfn-type="attribute" data-export id="dom-mloperand-operator-slot"><code>[[operator]]</code></dfn> of type <a data-link-type="dfn" href="https://w3c.github.io/FileAPI/#blob-url-entry-object" id="ref-for-blob-url-entry-object⑤">object</a>
+     <dd data-md>
+      <p>Reference to <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④④⑧">MLOperand</a></code>'s corresponding <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑨③">implementation-defined</a> platform operator object.</p>
+    </dl>
+   </div>
+   <div class="algorithm" data-algorithm="rank" data-algorithm-for="MLOperand">
+     To get the <dfn class="dfn-paneled" data-dfn-for="MLOperand" data-dfn-type="dfn" data-noexport id="mloperand-rank">rank</dfn> of an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④④⑨">MLOperand</a></code> <var>operand</var>, run the following steps: 
+    <div class="algorithm-steps">
+     <ol>
+      <li data-md>
+       <p>Return the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size⑤⑥">size</a> of <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①①②">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①①①">dimensions</a></code>.</p>
+     </ol>
+    </div>
+   </div>
+   <p>Since the <code class="idl"><a data-link-type="idl" href="#dom-mloperand-builder-slot" id="ref-for-dom-mloperand-builder-slot">[[builder]]</a></code> object is bound by the <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-mlgraphbuilder" id="ref-for-dom-mlgraphbuilder-mlgraphbuilder①">MLGraphBuilder()</a></code> constructor to an <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext④⓪">MLContext</a></code> object, an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④⑤⓪">MLOperand</a></code> is also always bound to the same <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext④①">MLContext</a></code> object.</p>
+   <h4 class="heading settled" data-level="7.8.1" id="api-mloperand-create"><span class="secno">7.8.1. </span><span class="content">Creating <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④⑤①">MLOperand</a></code></span><a class="self-link" href="#api-mloperand-create"></a></h4>
+    The <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④⑤②">MLOperand</a></code> objects are created by the methods of <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑥③">MLGraphBuilder</a></code>, internally using the following algorithms. 
+   <details class="algorithm" data-algorithm="create an MLOperand" open>
+    <summary> To <dfn class="dfn-paneled" data-dfn-type="dfn" data-noexport id="create-an-mloperand">create an MLOperand</dfn> given <var>builder</var> and <var>desc</var>, run the following steps: </summary>
+    <div class="algorithm-steps">
+     <ol>
+      <li data-md>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑧⓪">Assert</a>: the type of <var>builder</var> is <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑥④">MLGraphBuilder</a></code>.</p>
+      <li data-md>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑧①">Assert</a>: the type of <var>desc</var> is <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor②⑧">MLOperandDescriptor</a></code>.</p>
+      <li data-md>
+       <p>Let <var>operand</var> be a new <a data-link-type="dfn" href="https://w3c.github.io/FileAPI/#blob-url-entry-object" id="ref-for-blob-url-entry-object⑥">object</a>.</p>
+      <li data-md>
+       <p>Set <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-builder-slot" id="ref-for-dom-mloperand-builder-slot①">[[builder]]</a></code> to <var>builder</var>.</p>
+      <li data-md>
+       <p>Set <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①①③">[[descriptor]]</a></code> to <var>desc</var>.</p>
+      <li data-md>
+       <p>Return <var>operand</var>.</p>
+     </ol>
+    </div>
+   </details>
+   <details class="algorithm" data-algorithm="copy an MLOperand" open>
+    <summary> To <dfn class="dfn-paneled" data-dfn-type="dfn" data-noexport id="copy-an-mloperand">copy an MLOperand</dfn> given <var>operand</var>, run the following steps: </summary>
+    <div class="algorithm-steps">
+     <ol>
+      <li data-md>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑧②">Assert</a>: the type of <var>operand</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④⑤③">MLOperand</a></code>.</p>
+      <li data-md>
+       <p>Let <var>result</var> be a new <a data-link-type="dfn" href="https://w3c.github.io/FileAPI/#blob-url-entry-object" id="ref-for-blob-url-entry-object⑦">object</a>.</p>
+      <li data-md>
+       <p>Set <var>result</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-builder-slot" id="ref-for-dom-mloperand-builder-slot②">[[builder]]</a></code> to <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-builder-slot" id="ref-for-dom-mloperand-builder-slot③">[[builder]]</a></code>.</p>
+      <li data-md>
+       <p>Set <var>result</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①①④">[[descriptor]]</a></code> to <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①①⑤">[[descriptor]]</a></code>.</p>
+      <li data-md>
+       <p>If <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-name-slot" id="ref-for-dom-mloperand-name-slot③">[[name]]</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑤⑦">exists</a>, then set <var>result</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-name-slot" id="ref-for-dom-mloperand-name-slot④">[[name]]</a></code> to <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-name-slot" id="ref-for-dom-mloperand-name-slot⑤">[[name]]</a></code>.</p>
+      <li data-md>
+       <p>Return <var>result</var>.</p>
+     </ol>
+    </div>
+   </details>
+   <details class="algorithm" data-algorithm="check dimensions" open>
+    <summary> To <dfn class="dfn-paneled" data-dfn-type="dfn" data-noexport id="check-dimensions">check dimensions</dfn> given <var>dimensions</var> and <var>type</var>, run the following steps: </summary>
+    <div class="algorithm-steps">
+     <ol>
+      <li data-md>
+       <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size⑤⑦">size</a> of <var>dimensions</var> is 0, return false.</p>
+      <li data-md>
+       <p>If the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size⑤⑧">size</a> of <var>dimensions</var> is too large to be supported by the implementation, return false.</p>
+      <li data-md>
+       <p>If any element of <var>dimensions</var> is not a positive number, or it is too large to be supported by the implementation given <var>type</var>, return false.</p>
+      <li data-md>
+       <p>Return true.</p>
+     </ol>
+    </div>
+   </details>
+   <details class="algorithm" data-algorithm="validate MLOperand" data-algorithm-for="MLOperand" open>
+    <summary> To <dfn class="dfn-paneled" data-dfn-for="MLOperand" data-dfn-type="dfn" data-noexport id="mloperand-validate-mloperand">validate MLOperand</dfn> given <var>operand</var> and <var>builder</var>, run the following steps: </summary>
+    <div class="algorithm-steps">
+     <ol>
+      <li data-md>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑧③">Assert</a>: the type of <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-builder-slot" id="ref-for-dom-mloperand-builder-slot④">[[builder]]</a></code> is <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑥⑤">MLGraphBuilder</a></code>.</p>
+      <li data-md>
+       <p>If <var>builder</var> is not equal to <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-builder-slot" id="ref-for-dom-mloperand-builder-slot⑤">[[builder]]</a></code>, return false.</p>
+      <li data-md>
+       <p>Let <var>desc</var> be <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①①⑥">[[descriptor]]</a></code>.</p>
+      <li data-md>
+       <p>If <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①①②">dimensions</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑤⑧">exists</a> and invoking <a data-link-type="dfn" href="#check-dimensions" id="ref-for-check-dimensions②">check dimensions</a> given <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①①③">dimensions</a></code> and <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype⑤①">dataType</a></code> returns false, then return false.</p>
+      <li data-md>
+       <p>Return true.</p>
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.6.38" id="api-mlgraphbuilder-tanh-method"><span class="secno">7.6.38. </span><span class="content">The tanh() method</span><a class="self-link" href="#api-mlgraphbuilder-tanh-method"></a></h4>
-    Compute the <a href="https://en.wikipedia.org/wiki/Hyperbolic_functions">hyperbolic tangent function</a> of the input tensor. The calculation follows the expression <code>(exp(2 * x) - 1) / (exp(2 * x) + 1)</code>. 
-<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑤⑥"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑥⑤"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-tanh" id="ref-for-dom-mlgraphbuilder-tanh"><c- g>tanh</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑥⑥"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/tanh(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-tanh-input-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-tanh-input-input"></a></dfn>);
-  <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation⑤⑤"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="method" href="#tanh-noargs" id="ref-for-tanh-noargs"><c- g>tanh</c-></a>();
+   <h4 class="heading settled" data-level="7.8.2" id="api-mloperand-datatype"><span class="secno">7.8.2. </span><span class="content">dataType</span><a class="self-link" href="#api-mloperand-datatype"></a></h4>
+    Return a data type of the <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④⑤④">MLOperand</a></code>. 
+<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mloperand" id="ref-for-mloperand④⑤⑤"><c- g>MLOperand</c-></a> {
+  <a data-link-type="idl-name" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype⑥"><c- n>MLOperandDataType</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mloperand-datatype" id="ref-for-dom-mloperand-datatype①"><c- g>dataType</c-></a>();
 };
 </pre>
-   <div class="note" role="note">
-    <details open>
-     <summary> The behavior of this operation can be generically emulated from the usage of
-    other operations as follow. However, user agents typically have a more
-    efficient implementation for it, therefore its usage is encouraged from the
-    performance standpoint. </summary>
-<pre class="highlight"><c- k>return</c-> builder<c- p>.</c->div<c- p>(</c->
-          builder<c- p>.</c->sub<c- p>(</c->builder<c- p>.</c->exp<c- p>(</c->builder<c- p>.</c->mul<c- p>(</c->builder<c- p>.</c->constant<c- p>(</c-><c- mf>2</c-><c- p>),</c-> x<c- p>)),</c-> builder<c- p>.</c->constant<c- p>(</c-><c- mf>1</c-><c- p>)),</c->
-          builder<c- p>.</c->add<c- p>(</c->builder<c- p>.</c->exp<c- p>(</c->builder<c- p>.</c->mul<c- p>(</c->builder<c- p>.</c->constant<c- p>(</c-><c- mf>2</c-><c- p>),</c-> x<c- p>)),</c-> builder<c- p>.</c->constant<c- p>(</c-><c- mf>1</c-><c- p>)));</c->
-</pre>
-    </details>
-   </div>
-   <h5 class="heading settled" data-level="7.6.38.1" id="api-mlgraphbuilder-tanh-input"><span class="secno">7.6.38.1. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-tanh" id="ref-for-dom-mlgraphbuilder-tanh①">tanh(input)</a></code> method</span><a class="self-link" href="#api-mlgraphbuilder-tanh-input"></a></h5>
-   <div>
-     <strong>Arguments:</strong> 
-    <ul>
-     <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑥⑦">MLOperand</a></code>. The input tensor.</p>
-    </ul>
-    <p><strong>Returns:</strong></p>
-    <ul>
-     <li data-md>
-      <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑥⑧">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
-    </ul>
-   </div>
-   <details class="algorithm" data-algorithm="tanh(input)" data-algorithm-for="MLGraphBuilder" open>
-    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="dom-mlgraphbuilder-tanh"><code>tanh(<var>input</var>)</code></dfn> method steps are: </summary>
+   <div> <strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype⑦">MLOperandDataType</a></code>. The data type of the operand. </div>
+   <details class="algorithm" data-algorithm="dataType()" data-algorithm-for="MLOperand" open>
+    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLOperand" data-dfn-type="method" data-export id="dom-mloperand-datatype"><code>dataType()</code></dfn> method steps are: </summary>
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑦①">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑥⑨">MLOperand</a></code>.</p>
-      <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑦②">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror④⑨">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①④⑥">DOMException</a></code>.</p>
-       <ol>
-        <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand①⑦">copying an MLOperand</a> given <var>input</var>.</p>
-        <li data-md>
-         <p>Make a request to the underlying platform to:</p>
-         <ol>
-          <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑦④">implementation-defined</a> platform operator for the hyperbolic tangent operation.</p>
-          <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot③⑤">[[operator]]</a></code>.</p>
-          <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑦⑤">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
-          <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①⓪①">[[operand]]</a></code>.</p>
-         </ol>
-        <li data-md>
-         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①⓪②">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
-        <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①⓪③">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
-       </ol>
-      <li data-md>
-       <p>Return <var>output</var>.</p>
+       <p>Return <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this④⑦">this</a>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①①⑦">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype⑤②">dataType</a></code>.</p>
      </ol>
     </div>
    </details>
-   <h5 class="heading settled" data-level="7.6.38.2" id="api-mlgraphbuilder-tanh"><span class="secno">7.6.38.2. </span><span class="content">The <code class="idl"><a data-link-type="idl" href="#tanh-noargs" id="ref-for-tanh-noargs①">tanh()</a></code> method</span><a class="self-link" href="#api-mlgraphbuilder-tanh"></a></h5>
-   <div>
-     <strong>Arguments:</strong> 
-    <ul>
-     <li data-md>
-      <p>None.</p>
-    </ul>
-    <p><strong>Returns:</strong></p>
-    <ul>
-     <li data-md>
-      <p>an <code class="idl"><a data-link-type="idl" href="#mlactivation" id="ref-for-mlactivation⑤⑥">MLActivation</a></code>. The activation function representing the tanh operation.</p>
-    </ul>
-   </div>
-   <details class="algorithm" data-algorithm="tanh()" data-algorithm-for="MLGraphBuilder" open>
-    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export id="tanh-noargs"><code>tanh()</code></dfn> method steps are: </summary>
+   <h4 class="heading settled" data-level="7.8.3" id="api-mloperand-shape"><span class="secno">7.8.3. </span><span class="content">shape</span><a class="self-link" href="#api-mloperand-shape"></a></h4>
+    Return a shape of the <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④⑤⑥">MLOperand</a></code>. 
+<pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mloperand" id="ref-for-mloperand④⑤⑦"><c- g>MLOperand</c-></a> {
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence③⑥"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑨②"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="method" href="#dom-mloperand-shape" id="ref-for-dom-mloperand-shape①"><c- g>shape</c-></a>();
+};
+</pre>
+   <div> <strong>Returns:</strong> a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑨③">unsigned long</a></code>. The shape of the operand. </div>
+   <details class="algorithm" data-algorithm="shape()" data-algorithm-for="MLOperand" open>
+    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLOperand" data-dfn-type="method" data-export id="dom-mloperand-shape"><code>shape()</code></dfn> method steps are: </summary>
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p>Let <var>op</var> be the result of <a data-link-type="dfn" href="#create-an-mlactivation" id="ref-for-create-an-mlactivation①①">creating an MLActivation</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this③⑨">this</a> and <code>"tanh"</code>.</p>
-       <ol>
-        <li data-md>
-         <p>If that <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑦③">throws</a> an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑦④">throw</a> the error.</p>
-       </ol>
-      <li data-md>
-       <p>Return <var>op</var>.</p>
+       <p>Return <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this④⑧">this</a>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①①⑧">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①①④">dimensions</a></code>.</p>
      </ol>
     </div>
    </details>
-   <h4 class="heading settled" data-level="7.6.39" id="api-mlgraphbuilder-transpose"><span class="secno">7.6.39. </span><span class="content">The transpose() method</span><a class="self-link" href="#api-mlgraphbuilder-transpose"></a></h4>
-    Permute the dimensions of the input tensor according to the <em>permutation</em> argument. 
-<pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mltransposeoptions"><code><c- g>MLTransposeOptions</c-></code></dfn> {
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence③④"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑧③"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mltransposeoptions-permutation" id="ref-for-dom-mltransposeoptions-permutation"><c- g>permutation</c-></a>;
+   <h3 class="heading settled" data-level="7.9" id="api-mloperanddescriptor"><span class="secno">7.9. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor②⑨">MLOperandDescriptor</a></code> dictionary</span><a class="self-link" href="#api-mloperanddescriptor"></a></h3>
+<pre class="idl highlight def"><c- b>enum</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="enum" data-export id="enumdef-mlinputoperandlayout"><code><c- g>MLInputOperandLayout</c-></code></dfn> {
+  <dfn class="idl-code" data-dfn-for="MLInputOperandLayout" data-dfn-type="enum-value" data-export id="dom-mlinputoperandlayout-nchw"><code><c- s>"nchw"</c-></code><a class="self-link" href="#dom-mlinputoperandlayout-nchw"></a></dfn>,
+  <dfn class="idl-code" data-dfn-for="MLInputOperandLayout" data-dfn-type="enum-value" data-export id="dom-mlinputoperandlayout-nhwc"><code><c- s>"nhwc"</c-></code><a class="self-link" href="#dom-mlinputoperandlayout-nhwc"></a></dfn>
 };
 
-<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑤⑦"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑦⓪"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-transpose" id="ref-for-dom-mlgraphbuilder-transpose"><c- g>transpose</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑦①"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/transpose(input, options), MLGraphBuilder/transpose(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-transpose-input-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-transpose-input-options-input"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mltransposeoptions" id="ref-for-dictdef-mltransposeoptions"><c- n>MLTransposeOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/transpose(input, options), MLGraphBuilder/transpose(input)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-transpose-input-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-transpose-input-options-options"></a></dfn> = {});
+<c- b>enum</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="enum" data-export id="enumdef-mloperanddatatype"><code><c- g>MLOperandDataType</c-></code></dfn> {
+  <dfn class="dfn-paneled idl-code" data-dfn-for="MLOperandDataType" data-dfn-type="enum-value" data-export id="dom-mloperanddatatype-float32"><code><c- s>"float32"</c-></code></dfn>,
+  <dfn class="dfn-paneled idl-code" data-dfn-for="MLOperandDataType" data-dfn-type="enum-value" data-export id="dom-mloperanddatatype-float16"><code><c- s>"float16"</c-></code></dfn>,
+  <dfn class="dfn-paneled idl-code" data-dfn-for="MLOperandDataType" data-dfn-type="enum-value" data-export id="dom-mloperanddatatype-int32"><code><c- s>"int32"</c-></code></dfn>,
+  <dfn class="dfn-paneled idl-code" data-dfn-for="MLOperandDataType" data-dfn-type="enum-value" data-export id="dom-mloperanddatatype-uint32"><code><c- s>"uint32"</c-></code></dfn>,
+  <dfn class="idl-code" data-dfn-for="MLOperandDataType" data-dfn-type="enum-value" data-export id="dom-mloperanddatatype-int64"><code><c- s>"int64"</c-></code><a class="self-link" href="#dom-mloperanddatatype-int64"></a></dfn>,
+  <dfn class="idl-code" data-dfn-for="MLOperandDataType" data-dfn-type="enum-value" data-export id="dom-mloperanddatatype-uint64"><code><c- s>"uint64"</c-></code><a class="self-link" href="#dom-mloperanddatatype-uint64"></a></dfn>,
+  <dfn class="dfn-paneled idl-code" data-dfn-for="MLOperandDataType" data-dfn-type="enum-value" data-export id="dom-mloperanddatatype-int8"><code><c- s>"int8"</c-></code></dfn>,
+  <dfn class="dfn-paneled idl-code" data-dfn-for="MLOperandDataType" data-dfn-type="enum-value" data-export id="dom-mloperanddatatype-uint8"><code><c- s>"uint8"</c-></code></dfn>
+};
+
+<c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mloperanddescriptor"><code><c- g>MLOperandDescriptor</c-></code></dfn> {
+  // The operand type.
+  <c- b>required</c-> <a data-link-type="idl-name" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype⑧"><c- n>MLOperandDataType</c-></a> <dfn class="dfn-paneled idl-code" data-dfn-for="MLOperandDescriptor" data-dfn-type="dict-member" data-export data-type="MLOperandDataType " id="dom-mloperanddescriptor-datatype"><code><c- g>dataType</c-></code></dfn>;
+
+  // The dimensions field is only required for tensor operands.
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence③⑦"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑨④"><c- b>unsigned</c-> <c- b>long</c-></a>> <dfn class="dfn-paneled idl-code" data-dfn-for="MLOperandDescriptor" data-dfn-type="dict-member" data-export data-type="sequence<unsigned long> " id="dom-mloperanddescriptor-dimensions"><code><c- g>dimensions</c-></code></dfn>;
 };
 </pre>
-   <div>
-     <strong>Arguments:</strong> 
-    <ul>
-     <li data-md>
-      <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑦②">MLOperand</a></code>. The input N-D tensor.</p>
-     <li data-md>
-      <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mltransposeoptions" id="ref-for-dictdef-mltransposeoptions①">MLTransposeOptions</a></code>. The optional parameters of the operation.</p>
-    </ul>
-    <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑦③">MLOperand</a></code>. The permuted or transposed N-D tensor.</p>
-   </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mltransposeoptions" id="ref-for-dictdef-mltransposeoptions②">MLTransposeOptions</a></code> has the following members:</p>
-   <dl>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLTransposeOptions" data-dfn-type="dict-member" data-export id="dom-mltransposeoptions-permutation"><code>permutation</code></dfn>, <span> of type <code class="idl-code">sequence&lt;unsigned long></code></span>
-    <dd data-md>
-     <p>A sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑧④">unsigned long</a></code> values.
-Specifies the values used to permute the output shape.
-The default value is [N-1, ..., 0], where N is the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank②⑧">rank</a> of the input tensor, e.g. [2,1,0] for a 3-D tensor.
-These default values cause the output to become a transposed tensor of the input. When specified, the number of values in the sequence must be the same as the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank②⑨">rank</a> of the input tensor, and the values in the sequence must be within the range from 0 to N-1 with no two or more same values found in the sequence.</p>
-   </dl>
-   <details class="algorithm" data-algorithm="transpose(input, options)" data-algorithm-for="MLGraphBuilder" open>
-    <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export data-lt="transpose(input, options)|transpose(input)" id="dom-mlgraphbuilder-transpose"><code>transpose(<var>input</var>, <var>options</var>)</code></dfn> method steps are: </summary>
+   <details class="algorithm" data-algorithm="byte length" data-algorithm-for="MLOperandDescriptor" open>
+    <summary> The <dfn class="dfn-paneled" data-dfn-for="MLOperandDescriptor" data-dfn-type="dfn" data-noexport id="mloperanddescriptor-byte-length">byte length</dfn> of an <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor③⓪">MLOperandDescriptor</a></code> <var>desc</var> is the value returned by the following steps: </summary>
     <div class="algorithm-steps">
      <ol>
       <li data-md>
-       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#assert" id="ref-for-assert⑦②">Assert</a>: the type of <var>input</var> is <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑦④">MLOperand</a></code>.</p>
-      <li data-md>
-       <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mltransposeoptions-permutation" id="ref-for-dom-mltransposeoptions-permutation①">permutation</a></code> does not <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑤⑦">exist</a>, let <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mltransposeoptions-permutation" id="ref-for-dom-mltransposeoptions-permutation②">permutation</a></code> be the reversed sequence of all indices for <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑨④">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑨④">dimensions</a></code>.</p>
+       <p>Let <var>elementLength</var> be 1.</p>
       <li data-md>
-       <p>Otherwise if <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mltransposeoptions-permutation" id="ref-for-dom-mltransposeoptions-permutation③">permutation</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑤⑧">exists</a>:</p>
+       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate②⓪">For each</a> <var>dimension</var> of <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①①⑤">dimensions</a></code>:</p>
        <ol>
         <li data-md>
-         <p>If the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank③⓪">rank</a> of <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mltransposeoptions-permutation" id="ref-for-dom-mltransposeoptions-permutation④">permutation</a></code> is not the same as the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank③①">rank</a> of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑨⑤">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑨⑤">dimensions</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑦⑤">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror④⑤">TypeError</a></code>.</p>
-        <li data-md>
-         <p>If the values in <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mltransposeoptions-permutation" id="ref-for-dom-mltransposeoptions-permutation⑤">permutation</a></code> are not in <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#the-range" id="ref-for-the-range⑧">the range</a> 0 and the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank③②">rank</a> of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑨⑥">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑨⑥">dimensions</a></code> exclusive, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑦⑥">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror④⑥">TypeError</a></code>.</p>
-        <li data-md>
-         <p>If the values in <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mltransposeoptions-permutation" id="ref-for-dom-mltransposeoptions-permutation⑥">permutation</a></code> contain duplicate value, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑦⑦">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror④⑦">TypeError</a></code>.</p>
+         <p>Set <var>elementLength</var> to <var>elementLength</var> × <var>dimension</var>.</p>
        </ol>
       <li data-md>
-       <p>If any of the following sub-steps fail, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑦⑧">throw</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror⑤⓪">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException①④⑦">DOMException</a></code>.</p>
-       <ol>
-        <li data-md>
-         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand①⑧">copying an MLOperand</a> given <var>input</var>.</p>
-        <li data-md>
-         <p>Make a request to the underlying platform to:</p>
-         <ol>
-          <li data-md>
-           <p>Let <var>opImpl</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑦⑥">implementation-defined</a> platform operator for the transpose operation, given <var>options</var>.</p>
-          <li data-md>
-           <p>Store a reference of <var>opImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot③⑥">[[operator]]</a></code>.</p>
-          <li data-md>
-           <p>Create an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined⑦⑦">implementation-defined</a> platform operand <var>outputImpl</var> to represent the output, given <var>output</var> and <var>opImpl</var>.</p>
-          <li data-md>
-           <p>Store a reference to <var>outputImpl</var> in <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①⓪④">[[operand]]</a></code>.</p>
-         </ol>
-        <li data-md>
-         <p>Connect <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①⓪⑤">[[operand]]</a></code> as input to <var>opImpl</var>.</p>
-        <li data-md>
-         <p>Connect <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operand-slot" id="ref-for-dom-mloperand-operand-slot①⓪⑥">[[operand]]</a></code> as output to <var>opImpl</var>.</p>
-       </ol>
+       <p>Let <var>elementSize</var> be the <a data-link-type="dfn" href="https://tc39.es/ecma262/#table-the-typedarray-constructors" id="ref-for-table-the-typedarray-constructors⑥">element size</a> of one of the <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView⑦">ArrayBufferView</a></code> types that matches <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype⑤③">dataType</a></code> according to <a href="#appendices-mloperanddatatype-arraybufferview-compatibility">this table</a>.</p>
       <li data-md>
-       <p>Return <var>output</var>.</p>
+       <p>Return <var>elementLength</var> × <var>elementSize</var>.</p>
      </ol>
     </div>
    </details>
@@ -7601,11 +8663,11 @@ <h2 class="heading settled" data-level="8" id="examples"><span class="secno">8.
     </details>
    </div>
    <h2 class="heading settled" data-level="9" id="appendices"><span class="secno">9. </span><span class="content">Appendices</span><a class="self-link" href="#appendices"></a></h2>
-   <h3 class="heading settled" data-level="9.1" id="appendices-mloperanddatatype-arraybufferview-compatibility"><span class="secno">9.1. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype④">MLOperandDataType</a></code> and <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView⑧">ArrayBufferView</a></code> compatibility</span><a class="self-link" href="#appendices-mloperanddatatype-arraybufferview-compatibility"></a></h3>
+   <h3 class="heading settled" data-level="9.1" id="appendices-mloperanddatatype-arraybufferview-compatibility"><span class="secno">9.1. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype⑨">MLOperandDataType</a></code> and <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView⑧">ArrayBufferView</a></code> compatibility</span><a class="self-link" href="#appendices-mloperanddatatype-arraybufferview-compatibility"></a></h3>
    <table class="data">
     <thead class="stickyheader">
      <tr>
-      <th><code class="idl"><a data-link-type="idl" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype⑤">MLOperandDataType</a></code> 
+      <th><code class="idl"><a data-link-type="idl" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype①⓪">MLOperandDataType</a></code> 
       <th><code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView⑨">ArrayBufferView</a></code> 
     <tbody>
      <tr>
@@ -7642,6 +8704,7 @@ <h2 class="heading settled" data-level="10" id="acknowledgements"><span class="s
    <p>Thanks to Michal Karzynski for sharing practical guidelines and learnings from ONNX.</p>
    <p>Thanks to Kaustubha Govind and Chrome privacy reviewers for feedback and privacy considerations.</p>
    <p>Thanks to Jiewei Qian for Chromium implementation review and feedback.</p>
+   <p>Thanks to Dwayne Robinson for his work investigating and providing recommendation for transformer support, and for providing reviews of operator conformance and WPT implementation.</p>
   </main>
   <div data-fill-with="conformance">
    <h2 class="no-ref no-num heading settled" id="w3c-conformance"><span class="content">Conformance</span><a class="self-link" href="#w3c-conformance"></a></h2>
@@ -7690,504 +8753,548 @@ <h3 class="no-ref no-num heading settled" id="w3c-conformant-algorithms"><span c
   <h2 class="no-num no-ref heading settled" id="index"><span class="content">Index</span><a class="self-link" href="#index"></a></h2>
   <h3 class="no-num no-ref heading settled" id="index-defined-here"><span class="content">Terms defined by this specification</span><a class="self-link" href="#index-defined-here"></a></h3>
   <ul class="index">
-   <li><a href="#dom-mlgraphbuilder-abs">abs(input)</a><span>, in § 7.6.11</span>
+   <li><a href="#dom-mlgraphbuilder-abs">abs(input)</a><span>, in § 7.7.13</span>
    <li>
     activation
     <ul>
-     <li><a href="#dom-mlbatchnormalizationoptions-activation">dict-member for MLBatchNormalizationOptions</a><span>, in § 7.6.5</span>
-     <li><a href="#dom-mlconv2doptions-activation">dict-member for MLConv2dOptions</a><span>, in § 7.6.8</span>
-     <li><a href="#dom-mlconvtranspose2doptions-activation">dict-member for MLConvTranspose2dOptions</a><span>, in § 7.6.9</span>
+     <li><a href="#dom-mlbatchnormalizationoptions-activation">dict-member for MLBatchNormalizationOptions</a><span>, in § 7.7.3</span>
+     <li><a href="#dom-mlconv2doptions-activation">dict-member for MLConv2dOptions</a><span>, in § 7.7.9</span>
+     <li><a href="#dom-mlconvtranspose2doptions-activation">dict-member for MLConvTranspose2dOptions</a><span>, in § 7.7.10</span>
     </ul>
    <li>
     activations
     <ul>
-     <li><a href="#dom-mlgrucelloptions-activations">dict-member for MLGruCellOptions</a><span>, in § 7.6.15</span>
-     <li><a href="#dom-mlgruoptions-activations">dict-member for MLGruOptions</a><span>, in § 7.6.14</span>
-     <li><a href="#dom-mllstmcelloptions-activations">dict-member for MLLstmCellOptions</a><span>, in § 7.6.22</span>
-     <li><a href="#dom-mllstmoptions-activations">dict-member for MLLstmOptions</a><span>, in § 7.6.21</span>
+     <li><a href="#dom-mlgrucelloptions-activations">dict-member for MLGruCellOptions</a><span>, in § 7.7.19</span>
+     <li><a href="#dom-mlgruoptions-activations">dict-member for MLGruOptions</a><span>, in § 7.7.18</span>
+     <li><a href="#dom-mllstmcelloptions-activations">dict-member for MLLstmCellOptions</a><span>, in § 7.7.28</span>
+     <li><a href="#dom-mllstmoptions-activations">dict-member for MLLstmOptions</a><span>, in § 7.7.27</span>
     </ul>
-   <li><a href="#dom-mlgraphbuilder-add">add(a, b)</a><span>, in § 7.6.10</span>
+   <li><a href="#dom-mlgraphbuilder-add">add(a, b)</a><span>, in § 7.7.11</span>
    <li>
     alpha
     <ul>
-     <li><a href="#dom-mleluoptions-alpha">dict-member for MLEluOptions</a><span>, in § 7.6.12</span>
-     <li><a href="#dom-mlgemmoptions-alpha">dict-member for MLGemmOptions</a><span>, in § 7.6.13</span>
-     <li><a href="#dom-mlhardsigmoidoptions-alpha">dict-member for MLHardSigmoidOptions</a><span>, in § 7.6.16</span>
-     <li><a href="#dom-mlleakyreluoptions-alpha">dict-member for MLLeakyReluOptions</a><span>, in § 7.6.19</span>
-     <li><a href="#dom-mllinearoptions-alpha">dict-member for MLLinearOptions</a><span>, in § 7.6.20</span>
+     <li><a href="#dom-mleluoptions-alpha">dict-member for MLEluOptions</a><span>, in § 7.7.14</span>
+     <li><a href="#dom-mlgemmoptions-alpha">dict-member for MLGemmOptions</a><span>, in § 7.7.17</span>
+     <li><a href="#dom-mlhardsigmoidoptions-alpha">dict-member for MLHardSigmoidOptions</a><span>, in § 7.7.20</span>
+     <li><a href="#dom-mlleakyreluoptions-alpha">dict-member for MLLeakyReluOptions</a><span>, in § 7.7.25</span>
+     <li><a href="#dom-mllinearoptions-alpha">dict-member for MLLinearOptions</a><span>, in § 7.7.26</span>
     </ul>
-   <li><a href="#dom-mlgemmoptions-atranspose">aTranspose</a><span>, in § 7.6.13</span>
+   <li><a href="#dom-mlgraphbuilder-argmax">argMax(input)</a><span>, in § 7.7.2</span>
+   <li><a href="#dom-mlgraphbuilder-argmax">argMax(input, options)</a><span>, in § 7.7.2</span>
+   <li><a href="#dom-mlgraphbuilder-argmin">argMin(input)</a><span>, in § 7.7.2</span>
+   <li><a href="#dom-mlgraphbuilder-argmin">argMin(input, options)</a><span>, in § 7.7.2</span>
+   <li><a href="#mlgraphbuilder-argminmax-op">argminmax-op</a><span>, in § 7.7.2</span>
+   <li><a href="#dom-mlgemmoptions-atranspose">aTranspose</a><span>, in § 7.7.17</span>
    <li>
     autoPad
     <ul>
-     <li><a href="#dom-mlconv2doptions-autopad">dict-member for MLConv2dOptions</a><span>, in § 7.6.8</span>
-     <li><a href="#dom-mlconvtranspose2doptions-autopad">dict-member for MLConvTranspose2dOptions</a><span>, in § 7.6.9</span>
-     <li><a href="#dom-mlpool2doptions-autopad">dict-member for MLPool2dOptions</a><span>, in § 7.6.25</span>
+     <li><a href="#dom-mlconv2doptions-autopad">dict-member for MLConv2dOptions</a><span>, in § 7.7.9</span>
+     <li><a href="#dom-mlconvtranspose2doptions-autopad">dict-member for MLConvTranspose2dOptions</a><span>, in § 7.7.10</span>
+     <li><a href="#dom-mlpool2doptions-autopad">dict-member for MLPool2dOptions</a><span>, in § 7.7.31</span>
     </ul>
-   <li><a href="#dom-mlgraphbuilder-averagepool2d">averagePool2d(input)</a><span>, in § 7.6.25</span>
-   <li><a href="#dom-mlgraphbuilder-averagepool2d">averagePool2d(input, options)</a><span>, in § 7.6.25</span>
+   <li><a href="#dom-mlgraphbuilder-averagepool2d">averagePool2d(input)</a><span>, in § 7.7.31</span>
+   <li><a href="#dom-mlgraphbuilder-averagepool2d">averagePool2d(input, options)</a><span>, in § 7.7.31</span>
    <li>
     axes
     <ul>
-     <li><a href="#dom-mlreduceoptions-axes">dict-member for MLReduceOptions</a><span>, in § 7.6.27</span>
-     <li><a href="#dom-mlresample2doptions-axes">dict-member for MLResample2dOptions</a><span>, in § 7.6.29</span>
-     <li><a href="#dom-mlsqueezeoptions-axes">dict-member for MLSqueezeOptions</a><span>, in § 7.6.37</span>
+     <li><a href="#dom-mlargminmaxoptions-axes">dict-member for MLArgMinMaxOptions</a><span>, in § 7.7.2</span>
+     <li><a href="#dom-mllayernormalizationoptions-axes">dict-member for MLLayerNormalizationOptions</a><span>, in § 7.7.24</span>
+     <li><a href="#dom-mlreduceoptions-axes">dict-member for MLReduceOptions</a><span>, in § 7.7.33</span>
+     <li><a href="#dom-mlresample2doptions-axes">dict-member for MLResample2dOptions</a><span>, in § 7.7.35</span>
     </ul>
    <li>
     axis
     <ul>
-     <li><a href="#dom-mlbatchnormalizationoptions-axis">dict-member for MLBatchNormalizationOptions</a><span>, in § 7.6.5</span>
-     <li><a href="#dom-mlsplitoptions-axis">dict-member for MLSplitOptions</a><span>, in § 7.6.36</span>
+     <li><a href="#dom-mlbatchnormalizationoptions-axis">dict-member for MLBatchNormalizationOptions</a><span>, in § 7.7.3</span>
+     <li><a href="#dom-mlgatheroptions-axis">dict-member for MLGatherOptions</a><span>, in § 7.7.16</span>
+     <li><a href="#dom-mlsplitoptions-axis">dict-member for MLSplitOptions</a><span>, in § 7.7.42</span>
     </ul>
-   <li><a href="#dom-mlrecurrentnetworkdirection-backward">"backward"</a><span>, in § 7.6.14</span>
-   <li><a href="#dom-mlgraphbuilder-batchnormalization">batchNormalization(input, mean, variance)</a><span>, in § 7.6.5</span>
-   <li><a href="#dom-mlgraphbuilder-batchnormalization">batchNormalization(input, mean, variance, options)</a><span>, in § 7.6.5</span>
+   <li><a href="#dom-mlrecurrentnetworkdirection-backward">"backward"</a><span>, in § 7.7.18</span>
+   <li><a href="#dom-mlgraphbuilder-batchnormalization">batchNormalization(input, mean, variance)</a><span>, in § 7.7.3</span>
+   <li><a href="#dom-mlgraphbuilder-batchnormalization">batchNormalization(input, mean, variance, options)</a><span>, in § 7.7.3</span>
    <li>
     beta
     <ul>
-     <li><a href="#dom-mlgemmoptions-beta">dict-member for MLGemmOptions</a><span>, in § 7.6.13</span>
-     <li><a href="#dom-mlhardsigmoidoptions-beta">dict-member for MLHardSigmoidOptions</a><span>, in § 7.6.16</span>
-     <li><a href="#dom-mllinearoptions-beta">dict-member for MLLinearOptions</a><span>, in § 7.6.20</span>
+     <li><a href="#dom-mlgemmoptions-beta">dict-member for MLGemmOptions</a><span>, in § 7.7.17</span>
+     <li><a href="#dom-mlhardsigmoidoptions-beta">dict-member for MLHardSigmoidOptions</a><span>, in § 7.7.20</span>
+     <li><a href="#dom-mllinearoptions-beta">dict-member for MLLinearOptions</a><span>, in § 7.7.26</span>
     </ul>
    <li>
     bias
     <ul>
-     <li><a href="#dom-mlbatchnormalizationoptions-bias">dict-member for MLBatchNormalizationOptions</a><span>, in § 7.6.5</span>
-     <li><a href="#dom-mlconv2doptions-bias">dict-member for MLConv2dOptions</a><span>, in § 7.6.8</span>
-     <li><a href="#dom-mlconvtranspose2doptions-bias">dict-member for MLConvTranspose2dOptions</a><span>, in § 7.6.9</span>
-     <li><a href="#dom-mlgrucelloptions-bias">dict-member for MLGruCellOptions</a><span>, in § 7.6.15</span>
-     <li><a href="#dom-mlgruoptions-bias">dict-member for MLGruOptions</a><span>, in § 7.6.14</span>
-     <li><a href="#dom-mlinstancenormalizationoptions-bias">dict-member for MLInstanceNormalizationOptions</a><span>, in § 7.6.18</span>
-     <li><a href="#dom-mllstmcelloptions-bias">dict-member for MLLstmCellOptions</a><span>, in § 7.6.22</span>
-     <li><a href="#dom-mllstmoptions-bias">dict-member for MLLstmOptions</a><span>, in § 7.6.21</span>
-    </ul>
-   <li><a href="#dom-mlrecurrentnetworkdirection-both">"both"</a><span>, in § 7.6.14</span>
-   <li><a href="#mlgraphbuilder-broadcast-shapes">broadcast-shapes</a><span>, in § 7.6.10</span>
-   <li><a href="#dom-mlgemmoptions-btranspose">bTranspose</a><span>, in § 7.6.13</span>
+     <li><a href="#dom-mlbatchnormalizationoptions-bias">dict-member for MLBatchNormalizationOptions</a><span>, in § 7.7.3</span>
+     <li><a href="#dom-mlconv2doptions-bias">dict-member for MLConv2dOptions</a><span>, in § 7.7.9</span>
+     <li><a href="#dom-mlconvtranspose2doptions-bias">dict-member for MLConvTranspose2dOptions</a><span>, in § 7.7.10</span>
+     <li><a href="#dom-mlgrucelloptions-bias">dict-member for MLGruCellOptions</a><span>, in § 7.7.19</span>
+     <li><a href="#dom-mlgruoptions-bias">dict-member for MLGruOptions</a><span>, in § 7.7.18</span>
+     <li><a href="#dom-mlinstancenormalizationoptions-bias">dict-member for MLInstanceNormalizationOptions</a><span>, in § 7.7.23</span>
+     <li><a href="#dom-mllayernormalizationoptions-bias">dict-member for MLLayerNormalizationOptions</a><span>, in § 7.7.24</span>
+     <li><a href="#dom-mllstmcelloptions-bias">dict-member for MLLstmCellOptions</a><span>, in § 7.7.28</span>
+     <li><a href="#dom-mllstmoptions-bias">dict-member for MLLstmOptions</a><span>, in § 7.7.27</span>
+    </ul>
+   <li><a href="#dom-mlrecurrentnetworkdirection-both">"both"</a><span>, in § 7.7.18</span>
+   <li><a href="#mlgraphbuilder-broadcast-shapes">broadcast-shapes</a><span>, in § 7.7.11</span>
+   <li><a href="#dom-mlgemmoptions-btranspose">bTranspose</a><span>, in § 7.7.17</span>
    <li>
     [[builder]]
     <ul>
-     <li><a href="#dom-mlactivation-builder-slot">attribute for MLActivation</a><span>, in § 7.3.3</span>
-     <li><a href="#dom-mloperand-builder-slot">attribute for MLOperand</a><span>, in § 7.3.2</span>
-    </ul>
-   <li><a href="#dom-mlgraphbuilder-build">build(outputs)</a><span>, in § 7.6.3.1</span>
-   <li><a href="#dom-mlgraphbuilder-buildsync">buildSync(outputs)</a><span>, in § 7.6.3.2</span>
-   <li><a href="#mloperanddescriptor-byte-length">byte length</a><span>, in § 7.3.1</span>
-   <li><a href="#dom-mlgemmoptions-c">c</a><span>, in § 7.6.13</span>
-   <li><a href="#mlgraphbuilder-calculate-matmul-output-sizes">calculate matmul output sizes</a><span>, in § 7.6.23</span>
-   <li><a href="#mlgraphbuilder-calculate-padding-output-sizes">calculate padding output sizes</a><span>, in § 7.6.24</span>
-   <li><a href="#dom-mlroundingtype-ceil">"ceil"</a><span>, in § 7.6.25</span>
-   <li><a href="#dom-mlgraphbuilder-ceil">ceil(input)</a><span>, in § 7.6.11</span>
-   <li><a href="#check-clamp-options">check clamp options</a><span>, in § 7.6.6</span>
-   <li><a href="#check-dimensions">check dimensions</a><span>, in § 7.3.2.1</span>
-   <li><a href="#mlgraphbuilder-check-resample-options">check resample options</a><span>, in § 7.6.29</span>
-   <li><a href="#dom-mlgraphbuilder-clamp-options">clamp()</a><span>, in § 7.6.6.2</span>
-   <li><a href="#dom-mlgraphbuilder-clamp">clamp(operand)</a><span>, in § 7.6.6.1</span>
-   <li><a href="#dom-mlgraphbuilder-clamp">clamp(operand, options)</a><span>, in § 7.6.6.1</span>
-   <li><a href="#dom-mlgraphbuilder-clamp-options">clamp(options)</a><span>, in § 7.6.6.2</span>
-   <li><a href="#dom-mlcontext-compute">compute(graph, inputs, outputs)</a><span>, in § 7.4.4</span>
-   <li><a href="#dom-mlcontext-computesync">computeSync(graph, inputs, outputs)</a><span>, in § 7.4.2</span>
-   <li><a href="#dom-mlgraphbuilder-concat">concat(inputs, axis)</a><span>, in § 7.6.7</span>
-   <li><a href="#dom-mlpaddingmode-constant">"constant"</a><span>, in § 7.6.24</span>
-   <li><a href="#dom-mlgraphbuilder-constant">constant(descriptor, bufferView)</a><span>, in § 7.6.4.1</span>
-   <li><a href="#dom-mlgraphbuilder-constant-value-datatype">constant(value)</a><span>, in § 7.6.4.2</span>
-   <li><a href="#dom-mlgraphbuilder-constant-value-datatype">constant(value, dataType)</a><span>, in § 7.6.4.2</span>
-   <li><a href="#dom-mlgraphbuilder-mlgraphbuilder">constructor(context)</a><span>, in § 7.6.1</span>
+     <li><a href="#dom-mlactivation-builder-slot">attribute for MLActivation</a><span>, in § 7.3</span>
+     <li><a href="#dom-mloperand-builder-slot">attribute for MLOperand</a><span>, in § 7.8</span>
+    </ul>
+   <li><a href="#dom-mlgraphbuilder-build">build(outputs)</a><span>, in § 7.7.4.1</span>
+   <li><a href="#dom-mlgraphbuilder-buildsync">buildSync(outputs)</a><span>, in § 7.7.4.2</span>
+   <li><a href="#mloperanddescriptor-byte-length">byte length</a><span>, in § 7.9</span>
+   <li><a href="#dom-mlgemmoptions-c">c</a><span>, in § 7.7.17</span>
+   <li><a href="#mlgraphbuilder-calculate-matmul-output-sizes">calculate matmul output sizes</a><span>, in § 7.7.29</span>
+   <li><a href="#mlgraphbuilder-calculate-padding-output-sizes">calculate padding output sizes</a><span>, in § 7.7.30</span>
+   <li><a href="#dom-mlgraphbuilder-cast">cast(input, type)</a><span>, in § 7.7.5</span>
+   <li><a href="#dom-mlroundingtype-ceil">"ceil"</a><span>, in § 7.7.31</span>
+   <li><a href="#dom-mlgraphbuilder-ceil">ceil(input)</a><span>, in § 7.7.13</span>
+   <li><a href="#check-clamp-options">check clamp options</a><span>, in § 7.7.6</span>
+   <li><a href="#check-dimensions">check dimensions</a><span>, in § 7.8.1</span>
+   <li><a href="#mlgraphbuilder-check-resample-options">check resample options</a><span>, in § 7.7.35</span>
+   <li><a href="#dom-mlgraphbuilder-clamp-options">clamp()</a><span>, in § 7.7.6.2</span>
+   <li><a href="#dom-mlgraphbuilder-clamp">clamp(input)</a><span>, in § 7.7.6.1</span>
+   <li><a href="#dom-mlgraphbuilder-clamp">clamp(input, options)</a><span>, in § 7.7.6.1</span>
+   <li><a href="#dom-mlgraphbuilder-clamp-options">clamp(options)</a><span>, in § 7.7.6.2</span>
+   <li><a href="#dom-mlcontext-compute">compute(graph, inputs, outputs)</a><span>, in § 7.5.4</span>
+   <li><a href="#dom-mlcontext-computesync">computeSync(graph, inputs, outputs)</a><span>, in § 7.5.2</span>
+   <li><a href="#dom-mlgraphbuilder-concat">concat(inputs, axis)</a><span>, in § 7.7.7</span>
+   <li><a href="#dom-mlpaddingmode-constant">"constant"</a><span>, in § 7.7.30</span>
+   <li><a href="#dom-mlgraphbuilder-constant">constant(descriptor, bufferView)</a><span>, in § 7.7.8.1</span>
+   <li><a href="#dom-mlgraphbuilder-constant-start-end-step-type">constant(start, end, step, type)</a><span>, in § 7.7.8.3</span>
+   <li><a href="#dom-mlgraphbuilder-constant-value-type">constant(value)</a><span>, in § 7.7.8.2</span>
+   <li><a href="#dom-mlgraphbuilder-constant-value-type">constant(value, type)</a><span>, in § 7.7.8.2</span>
+   <li><a href="#dom-mlgraphbuilder-mlgraphbuilder">constructor(context)</a><span>, in § 7.7.1</span>
    <li>
     [[context]]
     <ul>
-     <li><a href="#dom-mlcommandencoder-context-slot">attribute for MLCommandEncoder</a><span>, in § 7.5</span>
-     <li><a href="#dom-mlgraph-context-slot">attribute for MLGraph</a><span>, in § 7.3</span>
-     <li><a href="#dom-mlgraphbuilder-context-slot">attribute for MLGraphBuilder</a><span>, in § 7.6</span>
-    </ul>
-   <li><a href="#dom-mlcontext-contexttype-slot">[[contextType]]</a><span>, in § 7.4</span>
-   <li><a href="#context-type">context type</a><span>, in § 7.4</span>
-   <li><a href="#dom-mlgraphbuilder-conv2d">conv2d(input, filter)</a><span>, in § 7.6.8</span>
-   <li><a href="#dom-mlgraphbuilder-conv2d">conv2d(input, filter, options)</a><span>, in § 7.6.8</span>
-   <li><a href="#dom-mlgraphbuilder-convtranspose2d">convTranspose2d(input, filter)</a><span>, in § 7.6.9</span>
-   <li><a href="#dom-mlgraphbuilder-convtranspose2d">convTranspose2d(input, filter, options)</a><span>, in § 7.6.9</span>
-   <li><a href="#copy-an-mloperand">copy an MLOperand</a><span>, in § 7.3.2.1</span>
-   <li><a href="#dom-mlgraphbuilder-cos">cos(input)</a><span>, in § 7.6.11</span>
+     <li><a href="#dom-mlcommandencoder-context-slot">attribute for MLCommandEncoder</a><span>, in § 7.4</span>
+     <li><a href="#dom-mlgraph-context-slot">attribute for MLGraph</a><span>, in § 7.6</span>
+     <li><a href="#dom-mlgraphbuilder-context-slot">attribute for MLGraphBuilder</a><span>, in § 7.7</span>
+    </ul>
+   <li><a href="#dom-mlcontext-contexttype-slot">[[contextType]]</a><span>, in § 7.5</span>
+   <li><a href="#context-type">context type</a><span>, in § 7.5</span>
+   <li><a href="#dom-mlgraphbuilder-conv2d">conv2d(input, filter)</a><span>, in § 7.7.9</span>
+   <li><a href="#dom-mlgraphbuilder-conv2d">conv2d(input, filter, options)</a><span>, in § 7.7.9</span>
+   <li><a href="#dom-mlgraphbuilder-convtranspose2d">convTranspose2d(input, filter)</a><span>, in § 7.7.10</span>
+   <li><a href="#dom-mlgraphbuilder-convtranspose2d">convTranspose2d(input, filter, options)</a><span>, in § 7.7.10</span>
+   <li><a href="#copy-an-mloperand">copy an MLOperand</a><span>, in § 7.8.1</span>
+   <li><a href="#dom-mlgraphbuilder-cos">cos(input)</a><span>, in § 7.7.13</span>
    <li><a href="#dom-mldevicetype-cpu">"cpu"</a><span>, in § 7.2</span>
    <li><a href="#create-a-context">create a context</a><span>, in § 7.2.2</span>
-   <li><a href="#create-an-mlactivation">create an MLActivation</a><span>, in § 7.3.3.1</span>
-   <li><a href="#create-an-mloperand">create an MLOperand</a><span>, in § 7.3.2.1</span>
-   <li><a href="#dom-mlcontext-createcommandencoder">createCommandEncoder()</a><span>, in § 7.4.5</span>
+   <li><a href="#create-an-mlactivation">create an MLActivation</a><span>, in § 7.3.1</span>
+   <li><a href="#create-an-mloperand">create an MLOperand</a><span>, in § 7.8.1</span>
+   <li><a href="#dom-mlcontext-createcommandencoder">createCommandEncoder()</a><span>, in § 7.5.5</span>
    <li><a href="#dom-ml-createcontext">createContext()</a><span>, in § 7.2.2</span>
    <li><a href="#dom-ml-createcontext-gpudevice">createContext(gpuDevice)</a><span>, in § 7.2.2</span>
    <li><a href="#dom-ml-createcontext">createContext(options)</a><span>, in § 7.2.2</span>
    <li><a href="#dom-ml-createcontextsync">createContextSync()</a><span>, in § 7.2.3</span>
    <li><a href="#dom-ml-createcontextsync-gpudevice">createContextSync(gpuDevice)</a><span>, in § 7.2.3</span>
    <li><a href="#dom-ml-createcontextsync">createContextSync(options)</a><span>, in § 7.2.3</span>
-   <li><a href="#dom-mloperanddescriptor-datatype">dataType</a><span>, in § 7.3.1</span>
+   <li><a href="#dom-mloperanddescriptor-datatype">dataType</a><span>, in § 7.9</span>
+   <li><a href="#dom-mloperand-datatype">dataType()</a><span>, in § 7.8.2</span>
    <li><a href="#dom-mlpowerpreference-default">"default"</a><span>, in § 7.2</span>
-   <li><a href="#default-context">default-context</a><span>, in § 7.4</span>
-   <li><a href="#dom-mloperand-descriptor-slot">[[descriptor]]</a><span>, in § 7.3.2</span>
-   <li><a href="#dom-mlcontext-devicetype-slot">[[deviceType]]</a><span>, in § 7.4</span>
-   <li><a href="#device-type">device type</a><span>, in § 7.4</span>
+   <li><a href="#default-context">default-context</a><span>, in § 7.5</span>
+   <li><a href="#dom-mloperand-descriptor-slot">[[descriptor]]</a><span>, in § 7.8</span>
+   <li><a href="#dom-mlcontext-devicetype-slot">[[deviceType]]</a><span>, in § 7.5</span>
+   <li><a href="#device-type">device type</a><span>, in § 7.5</span>
    <li><a href="#dom-mlcontextoptions-devicetype">deviceType</a><span>, in § 7.2</span>
-   <li><a href="#device-type-cpu">device-type-cpu</a><span>, in § 7.4</span>
-   <li><a href="#device-type-gpu">device-type-gpu</a><span>, in § 7.4</span>
+   <li><a href="#device-type-cpu">device-type-cpu</a><span>, in § 7.5</span>
+   <li><a href="#device-type-gpu">device-type-gpu</a><span>, in § 7.5</span>
+   <li><a href="#dom-mltriangularoptions-diagonal">diagonal</a><span>, in § 7.7.45</span>
    <li>
     dilations
     <ul>
-     <li><a href="#dom-mlconv2doptions-dilations">dict-member for MLConv2dOptions</a><span>, in § 7.6.8</span>
-     <li><a href="#dom-mlconvtranspose2doptions-dilations">dict-member for MLConvTranspose2dOptions</a><span>, in § 7.6.9</span>
-     <li><a href="#dom-mlpool2doptions-dilations">dict-member for MLPool2dOptions</a><span>, in § 7.6.25</span>
+     <li><a href="#dom-mlconv2doptions-dilations">dict-member for MLConv2dOptions</a><span>, in § 7.7.9</span>
+     <li><a href="#dom-mlconvtranspose2doptions-dilations">dict-member for MLConvTranspose2dOptions</a><span>, in § 7.7.10</span>
+     <li><a href="#dom-mlpool2doptions-dilations">dict-member for MLPool2dOptions</a><span>, in § 7.7.31</span>
     </ul>
-   <li><a href="#dom-mloperanddescriptor-dimensions">dimensions</a><span>, in § 7.3.1</span>
+   <li><a href="#dom-mloperanddescriptor-dimensions">dimensions</a><span>, in § 7.9</span>
    <li>
     direction
     <ul>
-     <li><a href="#dom-mlgruoptions-direction">dict-member for MLGruOptions</a><span>, in § 7.6.14</span>
-     <li><a href="#dom-mllstmoptions-direction">dict-member for MLLstmOptions</a><span>, in § 7.6.21</span>
-    </ul>
-   <li><a href="#dom-mlcommandencoder-dispatch">dispatch(graph, inputs, outputs)</a><span>, in § 7.5.2</span>
-   <li><a href="#dom-mlgraphbuilder-div">div(a, b)</a><span>, in § 7.6.10</span>
-   <li><a href="#dom-mlpaddingmode-edge">"edge"</a><span>, in § 7.6.24</span>
-   <li><a href="#mlgraphbuilder-element-wise-binary-op">element-wise-binary-op</a><span>, in § 7.6.10</span>
-   <li><a href="#mlgraphbuilder-element-wise-unary-op">element-wise-unary-op</a><span>, in § 7.6.11</span>
-   <li><a href="#dom-mlgraphbuilder-elu-options">elu()</a><span>, in § 7.6.12.2</span>
-   <li><a href="#dom-mlgraphbuilder-elu">elu(input)</a><span>, in § 7.6.12.1</span>
-   <li><a href="#dom-mlgraphbuilder-elu">elu(input, options)</a><span>, in § 7.6.12.1</span>
-   <li><a href="#dom-mlgraphbuilder-elu-options">elu(options)</a><span>, in § 7.6.12.2</span>
+     <li><a href="#dom-mlgruoptions-direction">dict-member for MLGruOptions</a><span>, in § 7.7.18</span>
+     <li><a href="#dom-mllstmoptions-direction">dict-member for MLLstmOptions</a><span>, in § 7.7.27</span>
+    </ul>
+   <li><a href="#dom-mlcommandencoder-dispatch">dispatch(graph, inputs, outputs)</a><span>, in § 7.4.2</span>
+   <li><a href="#dom-mlgraphbuilder-div">div(a, b)</a><span>, in § 7.7.11</span>
+   <li><a href="#dom-mlpaddingmode-edge">"edge"</a><span>, in § 7.7.30</span>
+   <li><a href="#mlgraphbuilder-element-wise-binary-op">element-wise-binary-op</a><span>, in § 7.7.11</span>
+   <li><a href="#mlgraphbuilder-element-wise-logical-op">element-wise-logical-op</a><span>, in § 7.7.12</span>
+   <li><a href="#mlgraphbuilder-element-wise-unary-op">element-wise-unary-op</a><span>, in § 7.7.13</span>
+   <li><a href="#dom-mlgraphbuilder-elu-options">elu()</a><span>, in § 7.7.14.2</span>
+   <li><a href="#dom-mlgraphbuilder-elu">elu(input)</a><span>, in § 7.7.14.1</span>
+   <li><a href="#dom-mlgraphbuilder-elu">elu(input, options)</a><span>, in § 7.7.14.1</span>
+   <li><a href="#dom-mlgraphbuilder-elu-options">elu(options)</a><span>, in § 7.7.14.2</span>
    <li>
     epsilon
     <ul>
-     <li><a href="#dom-mlbatchnormalizationoptions-epsilon">dict-member for MLBatchNormalizationOptions</a><span>, in § 7.6.5</span>
-     <li><a href="#dom-mlinstancenormalizationoptions-epsilon">dict-member for MLInstanceNormalizationOptions</a><span>, in § 7.6.18</span>
+     <li><a href="#dom-mlbatchnormalizationoptions-epsilon">dict-member for MLBatchNormalizationOptions</a><span>, in § 7.7.3</span>
+     <li><a href="#dom-mlinstancenormalizationoptions-epsilon">dict-member for MLInstanceNormalizationOptions</a><span>, in § 7.7.23</span>
+     <li><a href="#dom-mllayernormalizationoptions-epsilon">dict-member for MLLayerNormalizationOptions</a><span>, in § 7.7.24</span>
     </ul>
-   <li><a href="#execute-graph">execute graph</a><span>, in § 7.4.2</span>
-   <li><a href="#dom-mlgraphbuilder-exp">exp(input)</a><span>, in § 7.6.11</span>
-   <li><a href="#dom-mlautopad-explicit">"explicit"</a><span>, in § 7.6.8</span>
+   <li><a href="#dom-mlgraphbuilder-equal">equal(a, b)</a><span>, in § 7.7.12</span>
+   <li><a href="#dom-mlgraphbuilder-erf">erf(input)</a><span>, in § 7.7.13</span>
+   <li><a href="#execute-graph">execute graph</a><span>, in § 7.5.2</span>
+   <li><a href="#dom-mlgraphbuilder-expand">expand(input, newShape)</a><span>, in § 7.7.15</span>
+   <li><a href="#dom-mlgraphbuilder-exp">exp(input)</a><span>, in § 7.7.13</span>
+   <li><a href="#dom-mlautopad-explicit">"explicit"</a><span>, in § 7.7.9</span>
    <li>
     filterLayout
     <ul>
-     <li><a href="#dom-mlconv2doptions-filterlayout">dict-member for MLConv2dOptions</a><span>, in § 7.6.8</span>
-     <li><a href="#dom-mlconvtranspose2doptions-filterlayout">dict-member for MLConvTranspose2dOptions</a><span>, in § 7.6.9</span>
-    </ul>
-   <li><a href="#dom-mlcommandencoder-finish">finish()</a><span>, in § 7.5.3</span>
-   <li><a href="#dom-mlcommandencoder-finish">finish(descriptor)</a><span>, in § 7.5.3</span>
-   <li><a href="#dom-mloperanddatatype-float16">"float16"</a><span>, in § 7.3.1</span>
-   <li><a href="#dom-mloperanddatatype-float32">"float32"</a><span>, in § 7.3.1</span>
-   <li><a href="#dom-mlroundingtype-floor">"floor"</a><span>, in § 7.6.25</span>
-   <li><a href="#dom-mlgraphbuilder-floor">floor(input)</a><span>, in § 7.6.11</span>
-   <li><a href="#dom-mlrecurrentnetworkdirection-forward">"forward"</a><span>, in § 7.6.14</span>
-   <li><a href="#dom-mlgraphbuilder-gemm">gemm(a, b)</a><span>, in § 7.6.13</span>
-   <li><a href="#dom-mlgraphbuilder-gemm">gemm(a, b, options)</a><span>, in § 7.6.13</span>
+     <li><a href="#dom-mlconv2doptions-filterlayout">dict-member for MLConv2dOptions</a><span>, in § 7.7.9</span>
+     <li><a href="#dom-mlconvtranspose2doptions-filterlayout">dict-member for MLConvTranspose2dOptions</a><span>, in § 7.7.10</span>
+    </ul>
+   <li><a href="#dom-mlcommandencoder-finish">finish()</a><span>, in § 7.4.3</span>
+   <li><a href="#dom-mlcommandencoder-finish">finish(descriptor)</a><span>, in § 7.4.3</span>
+   <li><a href="#dom-mloperanddatatype-float16">"float16"</a><span>, in § 7.9</span>
+   <li><a href="#dom-mloperanddatatype-float32">"float32"</a><span>, in § 7.9</span>
+   <li><a href="#dom-mlroundingtype-floor">"floor"</a><span>, in § 7.7.31</span>
+   <li><a href="#dom-mlgraphbuilder-floor">floor(input)</a><span>, in § 7.7.13</span>
+   <li><a href="#dom-mlrecurrentnetworkdirection-forward">"forward"</a><span>, in § 7.7.18</span>
+   <li><a href="#dom-mlgraphbuilder-gather">gather(input, indices)</a><span>, in § 7.7.16</span>
+   <li><a href="#dom-mlgraphbuilder-gather">gather(input, indices, options)</a><span>, in § 7.7.16</span>
+   <li><a href="#dom-mlgraphbuilder-gemm">gemm(a, b)</a><span>, in § 7.7.17</span>
+   <li><a href="#dom-mlgraphbuilder-gemm">gemm(a, b, options)</a><span>, in § 7.7.17</span>
    <li><a href="#dom-mldevicetype-gpu">"gpu"</a><span>, in § 7.2</span>
+   <li><a href="#dom-mlgraphbuilder-greater">greater(a, b)</a><span>, in § 7.7.12</span>
+   <li><a href="#dom-mlgraphbuilder-greaterorequal">greaterOrEqual(a, b)</a><span>, in § 7.7.12</span>
    <li>
     groups
     <ul>
-     <li><a href="#dom-mlconv2doptions-groups">dict-member for MLConv2dOptions</a><span>, in § 7.6.8</span>
-     <li><a href="#dom-mlconvtranspose2doptions-groups">dict-member for MLConvTranspose2dOptions</a><span>, in § 7.6.9</span>
-    </ul>
-   <li><a href="#dom-mlgraphbuilder-grucell">gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize)</a><span>, in § 7.6.15</span>
-   <li><a href="#dom-mlgraphbuilder-grucell">gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize, options)</a><span>, in § 7.6.15</span>
-   <li><a href="#dom-mlgraphbuilder-gru">gru(input, weight, recurrentWeight, steps, hiddenSize)</a><span>, in § 7.6.14</span>
-   <li><a href="#dom-mlgraphbuilder-gru">gru(input, weight, recurrentWeight, steps, hiddenSize, options)</a><span>, in § 7.6.14</span>
-   <li><a href="#dom-mlgraphbuilder-hardsigmoid-options">hardSigmoid()</a><span>, in § 7.6.16.2</span>
-   <li><a href="#dom-mlgraphbuilder-hardsigmoid">hardSigmoid(input)</a><span>, in § 7.6.16.1</span>
-   <li><a href="#dom-mlgraphbuilder-hardsigmoid">hardSigmoid(input, options)</a><span>, in § 7.6.16.1</span>
-   <li><a href="#dom-mlgraphbuilder-hardsigmoid-options">hardSigmoid(options)</a><span>, in § 7.6.16.2</span>
-   <li><a href="#hardswish-noargs">hardSwish()</a><span>, in § 7.6.17.2</span>
-   <li><a href="#dom-mlgraphbuilder-hardswish">hardSwish(input)</a><span>, in § 7.6.17.1</span>
+     <li><a href="#dom-mlconv2doptions-groups">dict-member for MLConv2dOptions</a><span>, in § 7.7.9</span>
+     <li><a href="#dom-mlconvtranspose2doptions-groups">dict-member for MLConvTranspose2dOptions</a><span>, in § 7.7.10</span>
+    </ul>
+   <li><a href="#dom-mlgraphbuilder-grucell">gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize)</a><span>, in § 7.7.19</span>
+   <li><a href="#dom-mlgraphbuilder-grucell">gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize, options)</a><span>, in § 7.7.19</span>
+   <li><a href="#dom-mlgraphbuilder-gru">gru(input, weight, recurrentWeight, steps, hiddenSize)</a><span>, in § 7.7.18</span>
+   <li><a href="#dom-mlgraphbuilder-gru">gru(input, weight, recurrentWeight, steps, hiddenSize, options)</a><span>, in § 7.7.18</span>
+   <li><a href="#dom-mlgraphbuilder-hardsigmoid-options">hardSigmoid()</a><span>, in § 7.7.20.2</span>
+   <li><a href="#dom-mlgraphbuilder-hardsigmoid">hardSigmoid(input)</a><span>, in § 7.7.20.1</span>
+   <li><a href="#dom-mlgraphbuilder-hardsigmoid">hardSigmoid(input, options)</a><span>, in § 7.7.20.1</span>
+   <li><a href="#dom-mlgraphbuilder-hardsigmoid-options">hardSigmoid(options)</a><span>, in § 7.7.20.2</span>
+   <li><a href="#hardswish-noargs">hardSwish()</a><span>, in § 7.7.21.2</span>
+   <li><a href="#dom-mlgraphbuilder-hardswish">hardSwish(input)</a><span>, in § 7.7.21.1</span>
    <li><a href="#dom-mlpowerpreference-high-performance">"high-performance"</a><span>, in § 7.2</span>
-   <li><a href="#dom-mlconv2dfilteroperandlayout-hwio">"hwio"</a><span>, in § 7.6.8</span>
-   <li><a href="#dom-mlconvtranspose2dfilteroperandlayout-hwoi">"hwoi"</a><span>, in § 7.6.9</span>
-   <li><a href="#dom-mllstmweightlayout-ifgo">"ifgo"</a><span>, in § 7.6.21</span>
-   <li><a href="#dom-mlconv2dfilteroperandlayout-ihwo">"ihwo"</a><span>, in § 7.6.8</span>
+   <li><a href="#dom-mlconv2dfilteroperandlayout-hwio">"hwio"</a><span>, in § 7.7.9</span>
+   <li><a href="#dom-mlconvtranspose2dfilteroperandlayout-hwoi">"hwoi"</a><span>, in § 7.7.10</span>
+   <li><a href="#dom-mlgraphbuilder-identity">identity(input)</a><span>, in § 7.7.13</span>
+   <li><a href="#dom-mllstmweightlayout-ifgo">"ifgo"</a><span>, in § 7.7.27</span>
+   <li><a href="#dom-mlconv2dfilteroperandlayout-ihwo">"ihwo"</a><span>, in § 7.7.9</span>
    <li>
     [[implementation]]
     <ul>
-     <li><a href="#dom-mlcommandencoder-implementation-slot">attribute for MLCommandEncoder</a><span>, in § 7.5</span>
-     <li><a href="#dom-mlgraph-implementation-slot">attribute for MLGraph</a><span>, in § 7.3</span>
+     <li><a href="#dom-mlcommandencoder-implementation-slot">attribute for MLCommandEncoder</a><span>, in § 7.4</span>
+     <li><a href="#dom-mlgraph-implementation-slot">attribute for MLGraph</a><span>, in § 7.6</span>
     </ul>
-   <li><a href="#dom-mllstmoptions-initialcellstate">initialCellState</a><span>, in § 7.6.21</span>
+   <li><a href="#dom-mllstmoptions-initialcellstate">initialCellState</a><span>, in § 7.7.27</span>
    <li>
     initialHiddenState
     <ul>
-     <li><a href="#dom-mlgruoptions-initialhiddenstate">dict-member for MLGruOptions</a><span>, in § 7.6.14</span>
-     <li><a href="#dom-mllstmoptions-initialhiddenstate">dict-member for MLLstmOptions</a><span>, in § 7.6.21</span>
+     <li><a href="#dom-mlgruoptions-initialhiddenstate">dict-member for MLGruOptions</a><span>, in § 7.7.18</span>
+     <li><a href="#dom-mllstmoptions-initialhiddenstate">dict-member for MLLstmOptions</a><span>, in § 7.7.27</span>
     </ul>
-   <li><a href="#dom-mlcommandencoder-initializegraph">initializeGraph(graph)</a><span>, in § 7.5.1</span>
-   <li><a href="#dom-mlgraph-inputdescriptors-slot">[[inputDescriptors]]</a><span>, in § 7.3</span>
+   <li><a href="#dom-mlcommandencoder-initializegraph">initializeGraph(graph)</a><span>, in § 7.4.1</span>
+   <li><a href="#dom-mlgraph-inputdescriptors-slot">[[inputDescriptors]]</a><span>, in § 7.6</span>
    <li>
     inputLayout
     <ul>
-     <li><a href="#dom-mlconv2doptions-inputlayout">dict-member for MLConv2dOptions</a><span>, in § 7.6.8</span>
-     <li><a href="#dom-mlconvtranspose2doptions-inputlayout">dict-member for MLConvTranspose2dOptions</a><span>, in § 7.6.9</span>
-    </ul>
-   <li><a href="#dom-mlgraphbuilder-input">input(name, descriptor)</a><span>, in § 7.6.2</span>
-   <li><a href="#dom-mlcomputeresult-inputs">inputs</a><span>, in § 7.4.4</span>
-   <li><a href="#dom-mlgraphbuilder-instancenormalization">instanceNormalization(input)</a><span>, in § 7.6.18</span>
-   <li><a href="#dom-mlgraphbuilder-instancenormalization">instanceNormalization(input, options)</a><span>, in § 7.6.18</span>
-   <li><a href="#dom-mloperanddatatype-int32">"int32"</a><span>, in § 7.3.1</span>
-   <li><a href="#dom-mloperanddatatype-int8">"int8"</a><span>, in § 7.3.1</span>
-   <li><a href="#dom-mllstmweightlayout-iofg">"iofg"</a><span>, in § 7.6.21</span>
-   <li><a href="#dom-mlconvtranspose2dfilteroperandlayout-iohw">"iohw"</a><span>, in § 7.6.9</span>
-   <li><a href="#dom-mlreduceoptions-keepdimensions">keepDimensions</a><span>, in § 7.6.27</span>
-   <li><a href="#dom-mlgraphbuilder-l2pool2d">l2Pool2d(input)</a><span>, in § 7.6.25</span>
-   <li><a href="#dom-mlgraphbuilder-l2pool2d">l2Pool2d(input, options)</a><span>, in § 7.6.25</span>
+     <li><a href="#dom-mlconv2doptions-inputlayout">dict-member for MLConv2dOptions</a><span>, in § 7.7.9</span>
+     <li><a href="#dom-mlconvtranspose2doptions-inputlayout">dict-member for MLConvTranspose2dOptions</a><span>, in § 7.7.10</span>
+    </ul>
+   <li><a href="#dom-mlgraphbuilder-input">input(name, descriptor)</a><span>, in § 7.7.22</span>
+   <li><a href="#dom-mlcomputeresult-inputs">inputs</a><span>, in § 7.5.4</span>
+   <li><a href="#dom-mlgraphbuilder-instancenormalization">instanceNormalization(input)</a><span>, in § 7.7.23</span>
+   <li><a href="#dom-mlgraphbuilder-instancenormalization">instanceNormalization(input, options)</a><span>, in § 7.7.23</span>
+   <li><a href="#dom-mloperanddatatype-int32">"int32"</a><span>, in § 7.9</span>
+   <li><a href="#dom-mloperanddatatype-int64">"int64"</a><span>, in § 7.9</span>
+   <li><a href="#dom-mloperanddatatype-int8">"int8"</a><span>, in § 7.9</span>
+   <li><a href="#dom-mllstmweightlayout-iofg">"iofg"</a><span>, in § 7.7.27</span>
+   <li><a href="#dom-mlconvtranspose2dfilteroperandlayout-iohw">"iohw"</a><span>, in § 7.7.10</span>
+   <li>
+    keepDimensions
+    <ul>
+     <li><a href="#dom-mlargminmaxoptions-keepdimensions">dict-member for MLArgMinMaxOptions</a><span>, in § 7.7.2</span>
+     <li><a href="#dom-mlreduceoptions-keepdimensions">dict-member for MLReduceOptions</a><span>, in § 7.7.33</span>
+    </ul>
+   <li><a href="#dom-mlgraphbuilder-l2pool2d">l2Pool2d(input)</a><span>, in § 7.7.31</span>
+   <li><a href="#dom-mlgraphbuilder-l2pool2d">l2Pool2d(input, options)</a><span>, in § 7.7.31</span>
+   <li><a href="#dom-mlgraphbuilder-layernormalization">layerNormalization(input)</a><span>, in § 7.7.24</span>
+   <li><a href="#dom-mlgraphbuilder-layernormalization">layerNormalization(input, options)</a><span>, in § 7.7.24</span>
    <li>
     layout
     <ul>
-     <li><a href="#dom-mlgrucelloptions-layout">dict-member for MLGruCellOptions</a><span>, in § 7.6.15</span>
-     <li><a href="#dom-mlgruoptions-layout">dict-member for MLGruOptions</a><span>, in § 7.6.14</span>
-     <li><a href="#dom-mlinstancenormalizationoptions-layout">dict-member for MLInstanceNormalizationOptions</a><span>, in § 7.6.18</span>
-     <li><a href="#dom-mllstmcelloptions-layout">dict-member for MLLstmCellOptions</a><span>, in § 7.6.22</span>
-     <li><a href="#dom-mllstmoptions-layout">dict-member for MLLstmOptions</a><span>, in § 7.6.21</span>
-     <li><a href="#dom-mlpool2doptions-layout">dict-member for MLPool2dOptions</a><span>, in § 7.6.25</span>
-    </ul>
-   <li><a href="#dom-mlgraphbuilder-leakyrelu-options">leakyRelu()</a><span>, in § 7.6.19.2</span>
-   <li><a href="#dom-mlgraphbuilder-leakyrelu">leakyRelu(input)</a><span>, in § 7.6.19.1</span>
-   <li><a href="#dom-mlgraphbuilder-leakyrelu">leakyRelu(input, options)</a><span>, in § 7.6.19.1</span>
-   <li><a href="#dom-mlgraphbuilder-leakyrelu-options">leakyRelu(options)</a><span>, in § 7.6.19.2</span>
-   <li><a href="#dom-mlinterpolationmode-linear">"linear"</a><span>, in § 7.6.29</span>
-   <li><a href="#dom-mlgraphbuilder-linear-options">linear()</a><span>, in § 7.6.20.2</span>
-   <li><a href="#dom-mlgraphbuilder-linear">linear(input)</a><span>, in § 7.6.20.1</span>
-   <li><a href="#dom-mlgraphbuilder-linear">linear(input, options)</a><span>, in § 7.6.20.1</span>
-   <li><a href="#dom-mlgraphbuilder-linear-options">linear(options)</a><span>, in § 7.6.20.2</span>
-   <li><a href="#dom-mlgraphbuilder-log">log(input)</a><span>, in § 7.6.11</span>
+     <li><a href="#dom-mlgrucelloptions-layout">dict-member for MLGruCellOptions</a><span>, in § 7.7.19</span>
+     <li><a href="#dom-mlgruoptions-layout">dict-member for MLGruOptions</a><span>, in § 7.7.18</span>
+     <li><a href="#dom-mlinstancenormalizationoptions-layout">dict-member for MLInstanceNormalizationOptions</a><span>, in § 7.7.23</span>
+     <li><a href="#dom-mllstmcelloptions-layout">dict-member for MLLstmCellOptions</a><span>, in § 7.7.28</span>
+     <li><a href="#dom-mllstmoptions-layout">dict-member for MLLstmOptions</a><span>, in § 7.7.27</span>
+     <li><a href="#dom-mlpool2doptions-layout">dict-member for MLPool2dOptions</a><span>, in § 7.7.31</span>
+    </ul>
+   <li><a href="#dom-mlgraphbuilder-leakyrelu-options">leakyRelu()</a><span>, in § 7.7.25.2</span>
+   <li><a href="#dom-mlgraphbuilder-leakyrelu">leakyRelu(input)</a><span>, in § 7.7.25.1</span>
+   <li><a href="#dom-mlgraphbuilder-leakyrelu">leakyRelu(input, options)</a><span>, in § 7.7.25.1</span>
+   <li><a href="#dom-mlgraphbuilder-leakyrelu-options">leakyRelu(options)</a><span>, in § 7.7.25.2</span>
+   <li><a href="#dom-mlgraphbuilder-lesser">lesser(a, b)</a><span>, in § 7.7.12</span>
+   <li><a href="#dom-mlgraphbuilder-lesserorequal">lesserOrEqual(a, b)</a><span>, in § 7.7.12</span>
+   <li><a href="#dom-mlinterpolationmode-linear">"linear"</a><span>, in § 7.7.35</span>
+   <li><a href="#dom-mlgraphbuilder-linear-options">linear()</a><span>, in § 7.7.26.2</span>
+   <li><a href="#dom-mlgraphbuilder-linear">linear(input)</a><span>, in § 7.7.26.1</span>
+   <li><a href="#dom-mlgraphbuilder-linear">linear(input, options)</a><span>, in § 7.7.26.1</span>
+   <li><a href="#dom-mlgraphbuilder-linear-options">linear(options)</a><span>, in § 7.7.26.2</span>
+   <li><a href="#dom-mlgraphbuilder-log">log(input)</a><span>, in § 7.7.13</span>
    <li><a href="#dom-mlpowerpreference-low-power">"low-power"</a><span>, in § 7.2</span>
-   <li><a href="#dom-mlgraphbuilder-lstmcell">lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize)</a><span>, in § 7.6.22</span>
-   <li><a href="#dom-mlgraphbuilder-lstmcell">lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize, options)</a><span>, in § 7.6.22</span>
-   <li><a href="#dom-mlgraphbuilder-lstm">lstm(input, weight, recurrentWeight, steps, hiddenSize)</a><span>, in § 7.6.21</span>
-   <li><a href="#dom-mlgraphbuilder-lstm">lstm(input, weight, recurrentWeight, steps, hiddenSize, options)</a><span>, in § 7.6.21</span>
-   <li><a href="#dom-mlgraphbuilder-matmul">matmul(a, b)</a><span>, in § 7.6.23</span>
-   <li><a href="#dom-mlgraphbuilder-max">max(a, b)</a><span>, in § 7.6.10</span>
-   <li><a href="#dom-mlgraphbuilder-maxpool2d">maxPool2d(input)</a><span>, in § 7.6.25</span>
-   <li><a href="#dom-mlgraphbuilder-maxpool2d">maxPool2d(input, options)</a><span>, in § 7.6.25</span>
-   <li><a href="#dom-mlclampoptions-maxvalue">maxValue</a><span>, in § 7.6.6</span>
-   <li><a href="#dom-mlgraphbuilder-min">min(a, b)</a><span>, in § 7.6.10</span>
-   <li><a href="#dom-mlclampoptions-minvalue">minValue</a><span>, in § 7.6.6</span>
+   <li><a href="#dom-mlgraphbuilder-lstmcell">lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize)</a><span>, in § 7.7.28</span>
+   <li><a href="#dom-mlgraphbuilder-lstmcell">lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize, options)</a><span>, in § 7.7.28</span>
+   <li><a href="#dom-mlgraphbuilder-lstm">lstm(input, weight, recurrentWeight, steps, hiddenSize)</a><span>, in § 7.7.27</span>
+   <li><a href="#dom-mlgraphbuilder-lstm">lstm(input, weight, recurrentWeight, steps, hiddenSize, options)</a><span>, in § 7.7.27</span>
+   <li><a href="#dom-mlgraphbuilder-matmul">matmul(a, b)</a><span>, in § 7.7.29</span>
+   <li><a href="#dom-mlgraphbuilder-max">max(a, b)</a><span>, in § 7.7.11</span>
+   <li><a href="#dom-mlgraphbuilder-maxpool2d">maxPool2d(input)</a><span>, in § 7.7.31</span>
+   <li><a href="#dom-mlgraphbuilder-maxpool2d">maxPool2d(input, options)</a><span>, in § 7.7.31</span>
+   <li><a href="#dom-mlclampoptions-maxvalue">maxValue</a><span>, in § 7.7.6</span>
+   <li><a href="#dom-mlgraphbuilder-min">min(a, b)</a><span>, in § 7.7.11</span>
+   <li><a href="#dom-mlclampoptions-minvalue">minValue</a><span>, in § 7.7.6</span>
    <li><a href="#ml">ML</a><span>, in § 7.2</span>
    <li><a href="#dom-navigatorml-ml">ml</a><span>, in § 7.1</span>
-   <li><a href="#mlactivation">MLActivation</a><span>, in § 7.3.3</span>
-   <li><a href="#enumdef-mlautopad">MLAutoPad</a><span>, in § 7.6.8</span>
-   <li><a href="#dictdef-mlbatchnormalizationoptions">MLBatchNormalizationOptions</a><span>, in § 7.6.5</span>
-   <li><a href="#dictdef-mlbufferresourceview">MLBufferResourceView</a><span>, in § 7.6</span>
-   <li><a href="#typedefdef-mlbufferview">MLBufferView</a><span>, in § 7.6</span>
-   <li><a href="#dictdef-mlclampoptions">MLClampOptions</a><span>, in § 7.6.6</span>
-   <li><a href="#mlcommandencoder">MLCommandEncoder</a><span>, in § 7.5</span>
-   <li><a href="#dictdef-mlcomputeresult">MLComputeResult</a><span>, in § 7.4.4</span>
-   <li><a href="#mlcontext">MLContext</a><span>, in § 7.4</span>
+   <li><a href="#mlactivation">MLActivation</a><span>, in § 7.3</span>
+   <li><a href="#dictdef-mlargminmaxoptions">MLArgMinMaxOptions</a><span>, in § 7.7.2</span>
+   <li><a href="#enumdef-mlautopad">MLAutoPad</a><span>, in § 7.7.9</span>
+   <li><a href="#dictdef-mlbatchnormalizationoptions">MLBatchNormalizationOptions</a><span>, in § 7.7.3</span>
+   <li><a href="#dictdef-mlbufferresourceview">MLBufferResourceView</a><span>, in § 7.7</span>
+   <li><a href="#typedefdef-mlbufferview">MLBufferView</a><span>, in § 7.7</span>
+   <li><a href="#dictdef-mlclampoptions">MLClampOptions</a><span>, in § 7.7.6</span>
+   <li><a href="#mlcommandencoder">MLCommandEncoder</a><span>, in § 7.4</span>
+   <li><a href="#dictdef-mlcomputeresult">MLComputeResult</a><span>, in § 7.5.4</span>
+   <li><a href="#mlcontext">MLContext</a><span>, in § 7.5</span>
    <li><a href="#dictdef-mlcontextoptions">MLContextOptions</a><span>, in § 7.2</span>
-   <li><a href="#enumdef-mlconv2dfilteroperandlayout">MLConv2dFilterOperandLayout</a><span>, in § 7.6.8</span>
-   <li><a href="#dictdef-mlconv2doptions">MLConv2dOptions</a><span>, in § 7.6.8</span>
-   <li><a href="#enumdef-mlconvtranspose2dfilteroperandlayout">MLConvTranspose2dFilterOperandLayout</a><span>, in § 7.6.9</span>
-   <li><a href="#dictdef-mlconvtranspose2doptions">MLConvTranspose2dOptions</a><span>, in § 7.6.9</span>
+   <li><a href="#enumdef-mlconv2dfilteroperandlayout">MLConv2dFilterOperandLayout</a><span>, in § 7.7.9</span>
+   <li><a href="#dictdef-mlconv2doptions">MLConv2dOptions</a><span>, in § 7.7.9</span>
+   <li><a href="#enumdef-mlconvtranspose2dfilteroperandlayout">MLConvTranspose2dFilterOperandLayout</a><span>, in § 7.7.10</span>
+   <li><a href="#dictdef-mlconvtranspose2doptions">MLConvTranspose2dOptions</a><span>, in § 7.7.10</span>
    <li><a href="#enumdef-mldevicetype">MLDeviceType</a><span>, in § 7.2</span>
-   <li><a href="#dictdef-mleluoptions">MLEluOptions</a><span>, in § 7.6.12</span>
-   <li><a href="#dictdef-mlgemmoptions">MLGemmOptions</a><span>, in § 7.6.13</span>
-   <li><a href="#typedefdef-mlgpuresource">MLGPUResource</a><span>, in § 7.5</span>
-   <li><a href="#mlgraph">MLGraph</a><span>, in § 7.3</span>
-   <li><a href="#mlgraphbuilder">MLGraphBuilder</a><span>, in § 7.6</span>
-   <li><a href="#dom-mlgraphbuilder-mlgraphbuilder">MLGraphBuilder(context)</a><span>, in § 7.6.1</span>
-   <li><a href="#dictdef-mlgrucelloptions">MLGruCellOptions</a><span>, in § 7.6.15</span>
-   <li><a href="#dictdef-mlgruoptions">MLGruOptions</a><span>, in § 7.6.14</span>
-   <li><a href="#enumdef-mlgruweightlayout">MLGruWeightLayout</a><span>, in § 7.6.14</span>
-   <li><a href="#dictdef-mlhardsigmoidoptions">MLHardSigmoidOptions</a><span>, in § 7.6.16</span>
-   <li><a href="#enumdef-mlinputoperandlayout">MLInputOperandLayout</a><span>, in § 7.3.1</span>
-   <li><a href="#dictdef-mlinstancenormalizationoptions">MLInstanceNormalizationOptions</a><span>, in § 7.6.18</span>
-   <li><a href="#enumdef-mlinterpolationmode">MLInterpolationMode</a><span>, in § 7.6.29</span>
-   <li><a href="#dictdef-mlleakyreluoptions">MLLeakyReluOptions</a><span>, in § 7.6.19</span>
-   <li><a href="#dictdef-mllinearoptions">MLLinearOptions</a><span>, in § 7.6.20</span>
-   <li><a href="#dictdef-mllstmcelloptions">MLLstmCellOptions</a><span>, in § 7.6.22</span>
-   <li><a href="#dictdef-mllstmoptions">MLLstmOptions</a><span>, in § 7.6.21</span>
-   <li><a href="#enumdef-mllstmweightlayout">MLLstmWeightLayout</a><span>, in § 7.6.21</span>
-   <li><a href="#typedefdef-mlnamedarraybufferviews">MLNamedArrayBufferViews</a><span>, in § 7.4</span>
-   <li><a href="#typedefdef-mlnamedgpuresources">MLNamedGPUResources</a><span>, in § 7.5</span>
-   <li><a href="#typedefdef-mlnamedoperands">MLNamedOperands</a><span>, in § 7.6</span>
-   <li><a href="#mloperand">MLOperand</a><span>, in § 7.3.2</span>
-   <li><a href="#enumdef-mloperanddatatype">MLOperandDataType</a><span>, in § 7.3.1</span>
-   <li><a href="#dictdef-mloperanddescriptor">MLOperandDescriptor</a><span>, in § 7.3.1</span>
-   <li><a href="#enumdef-mlpaddingmode">MLPaddingMode</a><span>, in § 7.6.24</span>
-   <li><a href="#dictdef-mlpadoptions">MLPadOptions</a><span>, in § 7.6.24</span>
-   <li><a href="#dictdef-mlpool2doptions">MLPool2dOptions</a><span>, in § 7.6.25</span>
+   <li><a href="#dictdef-mleluoptions">MLEluOptions</a><span>, in § 7.7.14</span>
+   <li><a href="#dictdef-mlgatheroptions">MLGatherOptions</a><span>, in § 7.7.16</span>
+   <li><a href="#dictdef-mlgemmoptions">MLGemmOptions</a><span>, in § 7.7.17</span>
+   <li><a href="#typedefdef-mlgpuresource">MLGPUResource</a><span>, in § 7.4</span>
+   <li><a href="#mlgraph">MLGraph</a><span>, in § 7.6</span>
+   <li><a href="#mlgraphbuilder">MLGraphBuilder</a><span>, in § 7.7</span>
+   <li><a href="#dom-mlgraphbuilder-mlgraphbuilder">MLGraphBuilder(context)</a><span>, in § 7.7.1</span>
+   <li><a href="#dictdef-mlgrucelloptions">MLGruCellOptions</a><span>, in § 7.7.19</span>
+   <li><a href="#dictdef-mlgruoptions">MLGruOptions</a><span>, in § 7.7.18</span>
+   <li><a href="#enumdef-mlgruweightlayout">MLGruWeightLayout</a><span>, in § 7.7.18</span>
+   <li><a href="#dictdef-mlhardsigmoidoptions">MLHardSigmoidOptions</a><span>, in § 7.7.20</span>
+   <li><a href="#enumdef-mlinputoperandlayout">MLInputOperandLayout</a><span>, in § 7.9</span>
+   <li><a href="#dictdef-mlinstancenormalizationoptions">MLInstanceNormalizationOptions</a><span>, in § 7.7.23</span>
+   <li><a href="#enumdef-mlinterpolationmode">MLInterpolationMode</a><span>, in § 7.7.35</span>
+   <li><a href="#dictdef-mllayernormalizationoptions">MLLayerNormalizationOptions</a><span>, in § 7.7.24</span>
+   <li><a href="#dictdef-mlleakyreluoptions">MLLeakyReluOptions</a><span>, in § 7.7.25</span>
+   <li><a href="#dictdef-mllinearoptions">MLLinearOptions</a><span>, in § 7.7.26</span>
+   <li><a href="#dictdef-mllstmcelloptions">MLLstmCellOptions</a><span>, in § 7.7.28</span>
+   <li><a href="#dictdef-mllstmoptions">MLLstmOptions</a><span>, in § 7.7.27</span>
+   <li><a href="#enumdef-mllstmweightlayout">MLLstmWeightLayout</a><span>, in § 7.7.27</span>
+   <li><a href="#typedefdef-mlnamedarraybufferviews">MLNamedArrayBufferViews</a><span>, in § 7.5</span>
+   <li><a href="#typedefdef-mlnamedgpuresources">MLNamedGPUResources</a><span>, in § 7.4</span>
+   <li><a href="#typedefdef-mlnamedoperands">MLNamedOperands</a><span>, in § 7.7</span>
+   <li><a href="#mloperand">MLOperand</a><span>, in § 7.8</span>
+   <li><a href="#enumdef-mloperanddatatype">MLOperandDataType</a><span>, in § 7.9</span>
+   <li><a href="#dictdef-mloperanddescriptor">MLOperandDescriptor</a><span>, in § 7.9</span>
+   <li><a href="#enumdef-mlpaddingmode">MLPaddingMode</a><span>, in § 7.7.30</span>
+   <li><a href="#dictdef-mlpadoptions">MLPadOptions</a><span>, in § 7.7.30</span>
+   <li><a href="#dictdef-mlpool2doptions">MLPool2dOptions</a><span>, in § 7.7.31</span>
    <li><a href="#enumdef-mlpowerpreference">MLPowerPreference</a><span>, in § 7.2</span>
-   <li><a href="#enumdef-mlrecurrentnetworkdirection">MLRecurrentNetworkDirection</a><span>, in § 7.6.14</span>
-   <li><a href="#dictdef-mlreduceoptions">MLReduceOptions</a><span>, in § 7.6.27</span>
-   <li><a href="#dictdef-mlresample2doptions">MLResample2dOptions</a><span>, in § 7.6.29</span>
-   <li><a href="#enumdef-mlroundingtype">MLRoundingType</a><span>, in § 7.6.25</span>
-   <li><a href="#dictdef-mlsoftplusoptions">MLSoftplusOptions</a><span>, in § 7.6.34</span>
-   <li><a href="#dictdef-mlsplitoptions">MLSplitOptions</a><span>, in § 7.6.36</span>
-   <li><a href="#dictdef-mlsqueezeoptions">MLSqueezeOptions</a><span>, in § 7.6.37</span>
-   <li><a href="#dictdef-mltransposeoptions">MLTransposeOptions</a><span>, in § 7.6.39</span>
+   <li><a href="#enumdef-mlrecurrentnetworkdirection">MLRecurrentNetworkDirection</a><span>, in § 7.7.18</span>
+   <li><a href="#dictdef-mlreduceoptions">MLReduceOptions</a><span>, in § 7.7.33</span>
+   <li><a href="#dictdef-mlresample2doptions">MLResample2dOptions</a><span>, in § 7.7.35</span>
+   <li><a href="#enumdef-mlroundingtype">MLRoundingType</a><span>, in § 7.7.31</span>
+   <li><a href="#dictdef-mlsoftplusoptions">MLSoftplusOptions</a><span>, in § 7.7.40</span>
+   <li><a href="#dictdef-mlsplitoptions">MLSplitOptions</a><span>, in § 7.7.42</span>
+   <li><a href="#dictdef-mltransposeoptions">MLTransposeOptions</a><span>, in § 7.7.44</span>
+   <li><a href="#dictdef-mltriangularoptions">MLTriangularOptions</a><span>, in § 7.7.45</span>
    <li>
     mode
     <ul>
-     <li><a href="#dom-mlpadoptions-mode">dict-member for MLPadOptions</a><span>, in § 7.6.24</span>
-     <li><a href="#dom-mlresample2doptions-mode">dict-member for MLResample2dOptions</a><span>, in § 7.6.29</span>
+     <li><a href="#dom-mlpadoptions-mode">dict-member for MLPadOptions</a><span>, in § 7.7.30</span>
+     <li><a href="#dom-mlresample2doptions-mode">dict-member for MLResample2dOptions</a><span>, in § 7.7.35</span>
     </ul>
-   <li><a href="#dom-mlgraphbuilder-mul">mul(a, b)</a><span>, in § 7.6.10</span>
+   <li><a href="#dom-mlgraphbuilder-mul">mul(a, b)</a><span>, in § 7.7.11</span>
    <li>
     [[name]]
     <ul>
-     <li><a href="#dom-mlactivation-name-slot">attribute for MLActivation</a><span>, in § 7.3.3</span>
-     <li><a href="#dom-mloperand-name-slot">attribute for MLOperand</a><span>, in § 7.3.2</span>
+     <li><a href="#dom-mlactivation-name-slot">attribute for MLActivation</a><span>, in § 7.3</span>
+     <li><a href="#dom-mloperand-name-slot">attribute for MLOperand</a><span>, in § 7.8</span>
     </ul>
    <li><a href="#navigatorml">NavigatorML</a><span>, in § 7.1</span>
-   <li><a href="#dom-mlinputoperandlayout-nchw">"nchw"</a><span>, in § 7.3.1</span>
-   <li><a href="#dom-mlinterpolationmode-nearest-neighbor">"nearest-neighbor"</a><span>, in § 7.6.29</span>
-   <li><a href="#dom-mlgraphbuilder-neg">neg(input)</a><span>, in § 7.6.11</span>
-   <li><a href="#dom-mlinputoperandlayout-nhwc">"nhwc"</a><span>, in § 7.3.1</span>
-   <li><a href="#dom-mlbufferresourceview-offset">offset</a><span>, in § 7.6</span>
+   <li><a href="#dom-mlinputoperandlayout-nchw">"nchw"</a><span>, in § 7.9</span>
+   <li><a href="#dom-mlinterpolationmode-nearest-neighbor">"nearest-neighbor"</a><span>, in § 7.7.35</span>
+   <li><a href="#dom-mlgraphbuilder-neg">neg(input)</a><span>, in § 7.7.13</span>
+   <li><a href="#dom-mlinputoperandlayout-nhwc">"nhwc"</a><span>, in § 7.9</span>
+   <li><a href="#dom-mlgraphbuilder-not">not(a)</a><span>, in § 7.7.12</span>
+   <li><a href="#dom-mlbufferresourceview-offset">offset</a><span>, in § 7.7</span>
    <li>
     "ohwi"
     <ul>
-     <li><a href="#dom-mlconv2dfilteroperandlayout-ohwi">enum-value for MLConv2dFilterOperandLayout</a><span>, in § 7.6.8</span>
-     <li><a href="#dom-mlconvtranspose2dfilteroperandlayout-ohwi">enum-value for MLConvTranspose2dFilterOperandLayout</a><span>, in § 7.6.9</span>
+     <li><a href="#dom-mlconv2dfilteroperandlayout-ohwi">enum-value for MLConv2dFilterOperandLayout</a><span>, in § 7.7.9</span>
+     <li><a href="#dom-mlconvtranspose2dfilteroperandlayout-ohwi">enum-value for MLConvTranspose2dFilterOperandLayout</a><span>, in § 7.7.10</span>
     </ul>
-   <li><a href="#dom-mlconv2dfilteroperandlayout-oihw">"oihw"</a><span>, in § 7.6.8</span>
-   <li><a href="#dom-mloperand-operand-slot">[[operand]]</a><span>, in § 7.3.2</span>
+   <li><a href="#dom-mlconv2dfilteroperandlayout-oihw">"oihw"</a><span>, in § 7.7.9</span>
+   <li><a href="#dom-mloperand-operand-slot">[[operand]]</a><span>, in § 7.8</span>
    <li>
     [[operator]]
     <ul>
-     <li><a href="#dom-mlactivation-operator-slot">attribute for MLActivation</a><span>, in § 7.3.3</span>
-     <li><a href="#dom-mloperand-operator-slot">attribute for MLOperand</a><span>, in § 7.3.2</span>
+     <li><a href="#dom-mlactivation-operator-slot">attribute for MLActivation</a><span>, in § 7.3</span>
+     <li><a href="#dom-mloperand-operator-slot">attribute for MLOperand</a><span>, in § 7.8</span>
     </ul>
-   <li><a href="#dom-mlactivation-options-slot">[[options]]</a><span>, in § 7.3.3</span>
-   <li><a href="#dom-mlgraph-outputdescriptors-slot">[[outputDescriptors]]</a><span>, in § 7.3</span>
-   <li><a href="#dom-mlconvtranspose2doptions-outputpadding">outputPadding</a><span>, in § 7.6.9</span>
-   <li><a href="#dom-mlcomputeresult-outputs">outputs</a><span>, in § 7.4.4</span>
+   <li><a href="#dom-mlactivation-options-slot">[[options]]</a><span>, in § 7.3</span>
+   <li><a href="#dom-mlgraph-outputdescriptors-slot">[[outputDescriptors]]</a><span>, in § 7.6</span>
+   <li><a href="#dom-mlconvtranspose2doptions-outputpadding">outputPadding</a><span>, in § 7.7.10</span>
+   <li><a href="#dom-mlcomputeresult-outputs">outputs</a><span>, in § 7.5.4</span>
    <li>
     outputSizes
     <ul>
-     <li><a href="#dom-mlconvtranspose2doptions-outputsizes">dict-member for MLConvTranspose2dOptions</a><span>, in § 7.6.9</span>
-     <li><a href="#dom-mlpool2doptions-outputsizes">dict-member for MLPool2dOptions</a><span>, in § 7.6.25</span>
+     <li><a href="#dom-mlconvtranspose2doptions-outputsizes">dict-member for MLConvTranspose2dOptions</a><span>, in § 7.7.10</span>
+     <li><a href="#dom-mlpool2doptions-outputsizes">dict-member for MLPool2dOptions</a><span>, in § 7.7.31</span>
     </ul>
    <li>
     padding
     <ul>
-     <li><a href="#dom-mlconv2doptions-padding">dict-member for MLConv2dOptions</a><span>, in § 7.6.8</span>
-     <li><a href="#dom-mlconvtranspose2doptions-padding">dict-member for MLConvTranspose2dOptions</a><span>, in § 7.6.9</span>
-     <li><a href="#dom-mlpool2doptions-padding">dict-member for MLPool2dOptions</a><span>, in § 7.6.25</span>
+     <li><a href="#dom-mlconv2doptions-padding">dict-member for MLConv2dOptions</a><span>, in § 7.7.9</span>
+     <li><a href="#dom-mlconvtranspose2doptions-padding">dict-member for MLConvTranspose2dOptions</a><span>, in § 7.7.10</span>
+     <li><a href="#dom-mlpool2doptions-padding">dict-member for MLPool2dOptions</a><span>, in § 7.7.31</span>
     </ul>
-   <li><a href="#dom-mlgraphbuilder-pad">pad(input, beginningPadding, endingPadding)</a><span>, in § 7.6.24</span>
-   <li><a href="#dom-mlgraphbuilder-pad">pad(input, beginningPadding, endingPadding, options)</a><span>, in § 7.6.24</span>
+   <li><a href="#dom-mlgraphbuilder-pad">pad(input, beginningPadding, endingPadding)</a><span>, in § 7.7.30</span>
+   <li><a href="#dom-mlgraphbuilder-pad">pad(input, beginningPadding, endingPadding, options)</a><span>, in § 7.7.30</span>
    <li>
     peepholeWeight
     <ul>
-     <li><a href="#dom-mllstmcelloptions-peepholeweight">dict-member for MLLstmCellOptions</a><span>, in § 7.6.22</span>
-     <li><a href="#dom-mllstmoptions-peepholeweight">dict-member for MLLstmOptions</a><span>, in § 7.6.21</span>
+     <li><a href="#dom-mllstmcelloptions-peepholeweight">dict-member for MLLstmCellOptions</a><span>, in § 7.7.28</span>
+     <li><a href="#dom-mllstmoptions-peepholeweight">dict-member for MLLstmOptions</a><span>, in § 7.7.27</span>
     </ul>
-   <li><a href="#dom-mltransposeoptions-permutation">permutation</a><span>, in § 7.6.39</span>
-   <li><a href="#mlgraphbuilder-pooling-op">pooling-op</a><span>, in § 7.6.25</span>
-   <li><a href="#dom-mlgraphbuilder-pow">pow(a, b)</a><span>, in § 7.6.10</span>
-   <li><a href="#dom-mlcontext-powerpreference-slot">[[powerPreference]]</a><span>, in § 7.4</span>
-   <li><a href="#power-preference">power preference</a><span>, in § 7.4</span>
+   <li><a href="#dom-mltransposeoptions-permutation">permutation</a><span>, in § 7.7.44</span>
+   <li><a href="#mlgraphbuilder-pooling-op">pooling-op</a><span>, in § 7.7.31</span>
+   <li><a href="#dom-mlgraphbuilder-pow">pow(a, b)</a><span>, in § 7.7.11</span>
+   <li><a href="#dom-mlcontext-powerpreference-slot">[[powerPreference]]</a><span>, in § 7.5</span>
+   <li><a href="#power-preference">power preference</a><span>, in § 7.5</span>
    <li><a href="#dom-mlcontextoptions-powerpreference">powerPreference</a><span>, in § 7.2</span>
-   <li><a href="#power-preference-default">power-preference-default</a><span>, in § 7.4</span>
-   <li><a href="#power-preference-high-performance">power-preference-high-performance</a><span>, in § 7.4</span>
-   <li><a href="#power-preference-low-power">power-preference-low-power</a><span>, in § 7.4</span>
-   <li><a href="#dom-mlgraphbuilder-prelu">prelu(input, slope)</a><span>, in § 7.6.26</span>
-   <li><a href="#mloperand-rank">rank</a><span>, in § 7.3.2</span>
+   <li><a href="#power-preference-default">power-preference-default</a><span>, in § 7.5</span>
+   <li><a href="#power-preference-high-performance">power-preference-high-performance</a><span>, in § 7.5</span>
+   <li><a href="#power-preference-low-power">power-preference-low-power</a><span>, in § 7.5</span>
+   <li><a href="#dom-mlgraphbuilder-prelu">prelu(input, slope)</a><span>, in § 7.7.32</span>
+   <li><a href="#mloperand-rank">rank</a><span>, in § 7.8</span>
+   <li><a href="#dom-mlgraphbuilder-reciprocal">reciprocal(input)</a><span>, in § 7.7.13</span>
    <li>
     recurrentBias
     <ul>
-     <li><a href="#dom-mlgrucelloptions-recurrentbias">dict-member for MLGruCellOptions</a><span>, in § 7.6.15</span>
-     <li><a href="#dom-mlgruoptions-recurrentbias">dict-member for MLGruOptions</a><span>, in § 7.6.14</span>
-     <li><a href="#dom-mllstmcelloptions-recurrentbias">dict-member for MLLstmCellOptions</a><span>, in § 7.6.22</span>
-     <li><a href="#dom-mllstmoptions-recurrentbias">dict-member for MLLstmOptions</a><span>, in § 7.6.21</span>
-    </ul>
-   <li><a href="#dom-mlgraphbuilder-reducel1">reduceL1(input)</a><span>, in § 7.6.27</span>
-   <li><a href="#dom-mlgraphbuilder-reducel1">reduceL1(input, options)</a><span>, in § 7.6.27</span>
-   <li><a href="#dom-mlgraphbuilder-reducel2">reduceL2(input)</a><span>, in § 7.6.27</span>
-   <li><a href="#dom-mlgraphbuilder-reducel2">reduceL2(input, options)</a><span>, in § 7.6.27</span>
-   <li><a href="#dom-mlgraphbuilder-reducelogsumexp">reduceLogSumExp(input)</a><span>, in § 7.6.27</span>
-   <li><a href="#dom-mlgraphbuilder-reducelogsumexp">reduceLogSumExp(input, options)</a><span>, in § 7.6.27</span>
-   <li><a href="#dom-mlgraphbuilder-reducelogsum">reduceLogSum(input)</a><span>, in § 7.6.27</span>
-   <li><a href="#dom-mlgraphbuilder-reducelogsum">reduceLogSum(input, options)</a><span>, in § 7.6.27</span>
-   <li><a href="#dom-mlgraphbuilder-reducemax">reduceMax(input)</a><span>, in § 7.6.27</span>
-   <li><a href="#dom-mlgraphbuilder-reducemax">reduceMax(input, options)</a><span>, in § 7.6.27</span>
-   <li><a href="#dom-mlgraphbuilder-reducemean">reduceMean(input)</a><span>, in § 7.6.27</span>
-   <li><a href="#dom-mlgraphbuilder-reducemean">reduceMean(input, options)</a><span>, in § 7.6.27</span>
-   <li><a href="#dom-mlgraphbuilder-reducemin">reduceMin(input)</a><span>, in § 7.6.27</span>
-   <li><a href="#dom-mlgraphbuilder-reducemin">reduceMin(input, options)</a><span>, in § 7.6.27</span>
-   <li><a href="#mlgraphbuilder-reduce-op">reduce-op</a><span>, in § 7.6.27</span>
-   <li><a href="#dom-mlgraphbuilder-reduceproduct">reduceProduct(input)</a><span>, in § 7.6.27</span>
-   <li><a href="#dom-mlgraphbuilder-reduceproduct">reduceProduct(input, options)</a><span>, in § 7.6.27</span>
-   <li><a href="#dom-mlgraphbuilder-reducesum">reduceSum(input)</a><span>, in § 7.6.27</span>
-   <li><a href="#dom-mlgraphbuilder-reducesum">reduceSum(input, options)</a><span>, in § 7.6.27</span>
-   <li><a href="#dom-mlgraphbuilder-reducesumsquare">reduceSumSquare(input)</a><span>, in § 7.6.27</span>
-   <li><a href="#dom-mlgraphbuilder-reducesumsquare">reduceSumSquare(input, options)</a><span>, in § 7.6.27</span>
-   <li><a href="#dom-mlpaddingmode-reflection">"reflection"</a><span>, in § 7.6.24</span>
-   <li><a href="#relu-noargs">relu()</a><span>, in § 7.6.28.2</span>
-   <li><a href="#dom-mlgraphbuilder-relu">relu(input)</a><span>, in § 7.6.28.1</span>
-   <li><a href="#dom-mlgraphbuilder-resample2d">resample2d(input)</a><span>, in § 7.6.29</span>
-   <li><a href="#dom-mlgraphbuilder-resample2d">resample2d(input, options)</a><span>, in § 7.6.29</span>
-   <li><a href="#mlgraphbuilder-resample-output-sizes">resample output sizes</a><span>, in § 7.6.29</span>
+     <li><a href="#dom-mlgrucelloptions-recurrentbias">dict-member for MLGruCellOptions</a><span>, in § 7.7.19</span>
+     <li><a href="#dom-mlgruoptions-recurrentbias">dict-member for MLGruOptions</a><span>, in § 7.7.18</span>
+     <li><a href="#dom-mllstmcelloptions-recurrentbias">dict-member for MLLstmCellOptions</a><span>, in § 7.7.28</span>
+     <li><a href="#dom-mllstmoptions-recurrentbias">dict-member for MLLstmOptions</a><span>, in § 7.7.27</span>
+    </ul>
+   <li><a href="#dom-mlgraphbuilder-reducel1">reduceL1(input)</a><span>, in § 7.7.33</span>
+   <li><a href="#dom-mlgraphbuilder-reducel1">reduceL1(input, options)</a><span>, in § 7.7.33</span>
+   <li><a href="#dom-mlgraphbuilder-reducel2">reduceL2(input)</a><span>, in § 7.7.33</span>
+   <li><a href="#dom-mlgraphbuilder-reducel2">reduceL2(input, options)</a><span>, in § 7.7.33</span>
+   <li><a href="#dom-mlgraphbuilder-reducelogsumexp">reduceLogSumExp(input)</a><span>, in § 7.7.33</span>
+   <li><a href="#dom-mlgraphbuilder-reducelogsumexp">reduceLogSumExp(input, options)</a><span>, in § 7.7.33</span>
+   <li><a href="#dom-mlgraphbuilder-reducelogsum">reduceLogSum(input)</a><span>, in § 7.7.33</span>
+   <li><a href="#dom-mlgraphbuilder-reducelogsum">reduceLogSum(input, options)</a><span>, in § 7.7.33</span>
+   <li><a href="#dom-mlgraphbuilder-reducemax">reduceMax(input)</a><span>, in § 7.7.33</span>
+   <li><a href="#dom-mlgraphbuilder-reducemax">reduceMax(input, options)</a><span>, in § 7.7.33</span>
+   <li><a href="#dom-mlgraphbuilder-reducemean">reduceMean(input)</a><span>, in § 7.7.33</span>
+   <li><a href="#dom-mlgraphbuilder-reducemean">reduceMean(input, options)</a><span>, in § 7.7.33</span>
+   <li><a href="#dom-mlgraphbuilder-reducemin">reduceMin(input)</a><span>, in § 7.7.33</span>
+   <li><a href="#dom-mlgraphbuilder-reducemin">reduceMin(input, options)</a><span>, in § 7.7.33</span>
+   <li><a href="#mlgraphbuilder-reduce-op">reduce-op</a><span>, in § 7.7.33</span>
+   <li><a href="#dom-mlgraphbuilder-reduceproduct">reduceProduct(input)</a><span>, in § 7.7.33</span>
+   <li><a href="#dom-mlgraphbuilder-reduceproduct">reduceProduct(input, options)</a><span>, in § 7.7.33</span>
+   <li><a href="#dom-mlgraphbuilder-reducesum">reduceSum(input)</a><span>, in § 7.7.33</span>
+   <li><a href="#dom-mlgraphbuilder-reducesum">reduceSum(input, options)</a><span>, in § 7.7.33</span>
+   <li><a href="#dom-mlgraphbuilder-reducesumsquare">reduceSumSquare(input)</a><span>, in § 7.7.33</span>
+   <li><a href="#dom-mlgraphbuilder-reducesumsquare">reduceSumSquare(input, options)</a><span>, in § 7.7.33</span>
+   <li><a href="#dom-mlpaddingmode-reflection">"reflection"</a><span>, in § 7.7.30</span>
+   <li><a href="#relu-noargs">relu()</a><span>, in § 7.7.34.2</span>
+   <li><a href="#dom-mlgraphbuilder-relu">relu(input)</a><span>, in § 7.7.34.1</span>
+   <li><a href="#dom-mlgraphbuilder-resample2d">resample2d(input)</a><span>, in § 7.7.35</span>
+   <li><a href="#dom-mlgraphbuilder-resample2d">resample2d(input, options)</a><span>, in § 7.7.35</span>
+   <li><a href="#mlgraphbuilder-resample-output-sizes">resample output sizes</a><span>, in § 7.7.35</span>
    <li>
     resetAfter
     <ul>
-     <li><a href="#dom-mlgrucelloptions-resetafter">dict-member for MLGruCellOptions</a><span>, in § 7.6.15</span>
-     <li><a href="#dom-mlgruoptions-resetafter">dict-member for MLGruOptions</a><span>, in § 7.6.14</span>
+     <li><a href="#dom-mlgrucelloptions-resetafter">dict-member for MLGruCellOptions</a><span>, in § 7.7.19</span>
+     <li><a href="#dom-mlgruoptions-resetafter">dict-member for MLGruOptions</a><span>, in § 7.7.18</span>
     </ul>
-   <li><a href="#dom-mlgraphbuilder-reshape">reshape(input, newShape)</a><span>, in § 7.6.30</span>
-   <li><a href="#dom-mlbufferresourceview-resource">resource</a><span>, in § 7.6</span>
+   <li><a href="#dom-mlgraphbuilder-reshape">reshape(input, newShape)</a><span>, in § 7.7.36</span>
+   <li><a href="#dom-mlbufferresourceview-resource">resource</a><span>, in § 7.7</span>
    <li>
     returnSequence
     <ul>
-     <li><a href="#dom-mlgruoptions-returnsequence">dict-member for MLGruOptions</a><span>, in § 7.6.14</span>
-     <li><a href="#dom-mllstmoptions-returnsequence">dict-member for MLLstmOptions</a><span>, in § 7.6.21</span>
+     <li><a href="#dom-mlgruoptions-returnsequence">dict-member for MLGruOptions</a><span>, in § 7.7.18</span>
+     <li><a href="#dom-mllstmoptions-returnsequence">dict-member for MLLstmOptions</a><span>, in § 7.7.27</span>
     </ul>
-   <li><a href="#dom-mlpool2doptions-roundingtype">roundingType</a><span>, in § 7.6.25</span>
-   <li><a href="#dom-mlgruweightlayout-rzn">"rzn"</a><span>, in § 7.6.14</span>
-   <li><a href="#dom-mlautopad-same-lower">"same-lower"</a><span>, in § 7.6.8</span>
-   <li><a href="#dom-mlautopad-same-upper">"same-upper"</a><span>, in § 7.6.8</span>
+   <li><a href="#dom-mlpool2doptions-roundingtype">roundingType</a><span>, in § 7.7.31</span>
+   <li><a href="#dom-mlgruweightlayout-rzn">"rzn"</a><span>, in § 7.7.18</span>
+   <li><a href="#dom-mlautopad-same-lower">"same-lower"</a><span>, in § 7.7.9</span>
+   <li><a href="#dom-mlautopad-same-upper">"same-upper"</a><span>, in § 7.7.9</span>
    <li>
     scale
     <ul>
-     <li><a href="#dom-mlbatchnormalizationoptions-scale">dict-member for MLBatchNormalizationOptions</a><span>, in § 7.6.5</span>
-     <li><a href="#dom-mlinstancenormalizationoptions-scale">dict-member for MLInstanceNormalizationOptions</a><span>, in § 7.6.18</span>
-    </ul>
-   <li><a href="#dom-mlresample2doptions-scales">scales</a><span>, in § 7.6.29</span>
-   <li><a href="#sigmoid-noargs">sigmoid()</a><span>, in § 7.6.31.2</span>
-   <li><a href="#dom-mlgraphbuilder-sigmoid">sigmoid(input)</a><span>, in § 7.6.31.1</span>
-   <li><a href="#dom-mlgraphbuilder-sin">sin(input)</a><span>, in § 7.6.11</span>
-   <li><a href="#dom-mlbufferresourceview-size">size</a><span>, in § 7.6</span>
-   <li><a href="#dom-mlresample2doptions-sizes">sizes</a><span>, in § 7.6.29</span>
-   <li><a href="#dom-mlgraphbuilder-slice">slice(input, starts, sizes)</a><span>, in § 7.6.32</span>
-   <li><a href="#softmax-noargs">softmax()</a><span>, in § 7.6.33.2</span>
-   <li><a href="#dom-mlgraphbuilder-softmax">softmax(input)</a><span>, in § 7.6.33.1</span>
-   <li><a href="#dom-mlgraphbuilder-softplus-options">softplus()</a><span>, in § 7.6.34.2</span>
-   <li><a href="#dom-mlgraphbuilder-softplus">softplus(input)</a><span>, in § 7.6.34.1</span>
-   <li><a href="#dom-mlgraphbuilder-softplus">softplus(input, options)</a><span>, in § 7.6.34.1</span>
-   <li><a href="#dom-mlgraphbuilder-softplus-options">softplus(options)</a><span>, in § 7.6.34.2</span>
-   <li><a href="#softsign-noargs">softsign()</a><span>, in § 7.6.35.2</span>
-   <li><a href="#dom-mlgraphbuilder-softsign">softsign(input)</a><span>, in § 7.6.35.1</span>
-   <li><a href="#dom-mlgraphbuilder-split">split(input, splits)</a><span>, in § 7.6.36</span>
-   <li><a href="#dom-mlgraphbuilder-split">split(input, splits, options)</a><span>, in § 7.6.36</span>
-   <li><a href="#dom-mlgraphbuilder-squeeze">squeeze(input)</a><span>, in § 7.6.37</span>
-   <li><a href="#dom-mlgraphbuilder-squeeze">squeeze(input, options)</a><span>, in § 7.6.37</span>
-   <li><a href="#dom-mlsoftplusoptions-steepness">steepness</a><span>, in § 7.6.34</span>
+     <li><a href="#dom-mlbatchnormalizationoptions-scale">dict-member for MLBatchNormalizationOptions</a><span>, in § 7.7.3</span>
+     <li><a href="#dom-mlinstancenormalizationoptions-scale">dict-member for MLInstanceNormalizationOptions</a><span>, in § 7.7.23</span>
+     <li><a href="#dom-mllayernormalizationoptions-scale">dict-member for MLLayerNormalizationOptions</a><span>, in § 7.7.24</span>
+    </ul>
+   <li><a href="#dom-mlresample2doptions-scales">scales</a><span>, in § 7.7.35</span>
+   <li><a href="#dom-mlargminmaxoptions-selectlastindex">selectLastIndex</a><span>, in § 7.7.2</span>
+   <li><a href="#dom-mloperand-shape">shape()</a><span>, in § 7.8.3</span>
+   <li><a href="#sigmoid-noargs">sigmoid()</a><span>, in § 7.7.37.2</span>
+   <li><a href="#dom-mlgraphbuilder-sigmoid">sigmoid(input)</a><span>, in § 7.7.37.1</span>
+   <li><a href="#dom-mlgraphbuilder-sin">sin(input)</a><span>, in § 7.7.13</span>
+   <li><a href="#dom-mlbufferresourceview-size">size</a><span>, in § 7.7</span>
+   <li><a href="#dom-mlresample2doptions-sizes">sizes</a><span>, in § 7.7.35</span>
+   <li><a href="#dom-mlgraphbuilder-slice">slice(input, starts, sizes)</a><span>, in § 7.7.38</span>
+   <li><a href="#softmax-noargs">softmax()</a><span>, in § 7.7.39.2</span>
+   <li><a href="#dom-mlgraphbuilder-softmax">softmax(input)</a><span>, in § 7.7.39.1</span>
+   <li><a href="#dom-mlgraphbuilder-softplus-options">softplus()</a><span>, in § 7.7.40.2</span>
+   <li><a href="#dom-mlgraphbuilder-softplus">softplus(input)</a><span>, in § 7.7.40.1</span>
+   <li><a href="#dom-mlgraphbuilder-softplus">softplus(input, options)</a><span>, in § 7.7.40.1</span>
+   <li><a href="#dom-mlgraphbuilder-softplus-options">softplus(options)</a><span>, in § 7.7.40.2</span>
+   <li><a href="#softsign-noargs">softsign()</a><span>, in § 7.7.41.2</span>
+   <li><a href="#dom-mlgraphbuilder-softsign">softsign(input)</a><span>, in § 7.7.41.1</span>
+   <li><a href="#dom-mlgraphbuilder-split">split(input, splits)</a><span>, in § 7.7.42</span>
+   <li><a href="#dom-mlgraphbuilder-split">split(input, splits, options)</a><span>, in § 7.7.42</span>
+   <li><a href="#dom-mlgraphbuilder-sqrt">sqrt(input)</a><span>, in § 7.7.13</span>
+   <li><a href="#dom-mlsoftplusoptions-steepness">steepness</a><span>, in § 7.7.40</span>
    <li>
     strides
     <ul>
-     <li><a href="#dom-mlconv2doptions-strides">dict-member for MLConv2dOptions</a><span>, in § 7.6.8</span>
-     <li><a href="#dom-mlconvtranspose2doptions-strides">dict-member for MLConvTranspose2dOptions</a><span>, in § 7.6.9</span>
-     <li><a href="#dom-mlpool2doptions-strides">dict-member for MLPool2dOptions</a><span>, in § 7.6.25</span>
-    </ul>
-   <li><a href="#dom-mlgraphbuilder-sub">sub(a, b)</a><span>, in § 7.6.10</span>
-   <li><a href="#dom-mlpaddingmode-symmetric">"symmetric"</a><span>, in § 7.6.24</span>
-   <li><a href="#tanh-noargs">tanh()</a><span>, in § 7.6.38.2</span>
-   <li><a href="#dom-mlgraphbuilder-tanh">tanh(input)</a><span>, in § 7.6.38.1</span>
-   <li><a href="#dom-mlgraphbuilder-tan">tan(input)</a><span>, in § 7.6.11</span>
-   <li><a href="#mlnamedarraybufferviews-transfer">transfer</a><span>, in § 7.4.3</span>
-   <li><a href="#dom-mlgraphbuilder-transpose">transpose(input)</a><span>, in § 7.6.39</span>
-   <li><a href="#dom-mlgraphbuilder-transpose">transpose(input, options)</a><span>, in § 7.6.39</span>
-   <li><a href="#dom-mloperanddatatype-uint32">"uint32"</a><span>, in § 7.3.1</span>
-   <li><a href="#dom-mloperanddatatype-uint8">"uint8"</a><span>, in § 7.3.1</span>
-   <li><a href="#validate-buffer-with-descriptor">validate buffer with descriptor</a><span>, in § 7.4.2</span>
-   <li><a href="#validate-graph-resources">validate graph resources</a><span>, in § 7.4.2</span>
-   <li><a href="#validate-mlcontext">validate MLContext</a><span>, in § 7.4.1</span>
-   <li><a href="#mloperand-validate-mloperand">validate MLOperand</a><span>, in § 7.3.2.1</span>
-   <li><a href="#dom-mlpadoptions-value">value</a><span>, in § 7.6.24</span>
-   <li><a href="#webgpu-context">webgpu-context</a><span>, in § 7.4</span>
+     <li><a href="#dom-mlconv2doptions-strides">dict-member for MLConv2dOptions</a><span>, in § 7.7.9</span>
+     <li><a href="#dom-mlconvtranspose2doptions-strides">dict-member for MLConvTranspose2dOptions</a><span>, in § 7.7.10</span>
+     <li><a href="#dom-mlpool2doptions-strides">dict-member for MLPool2dOptions</a><span>, in § 7.7.31</span>
+    </ul>
+   <li><a href="#dom-mlgraphbuilder-sub">sub(a, b)</a><span>, in § 7.7.11</span>
+   <li><a href="#dom-mlpaddingmode-symmetric">"symmetric"</a><span>, in § 7.7.30</span>
+   <li><a href="#tanh-noargs">tanh()</a><span>, in § 7.7.43.2</span>
+   <li><a href="#dom-mlgraphbuilder-tanh">tanh(input)</a><span>, in § 7.7.43.1</span>
+   <li><a href="#dom-mlgraphbuilder-tan">tan(input)</a><span>, in § 7.7.13</span>
+   <li><a href="#mlnamedarraybufferviews-transfer">transfer</a><span>, in § 7.5.3</span>
+   <li><a href="#dom-mlgraphbuilder-transpose">transpose(input)</a><span>, in § 7.7.44</span>
+   <li><a href="#dom-mlgraphbuilder-transpose">transpose(input, options)</a><span>, in § 7.7.44</span>
+   <li><a href="#dom-mlgraphbuilder-triangular">triangular(input)</a><span>, in § 7.7.45</span>
+   <li><a href="#dom-mlgraphbuilder-triangular">triangular(input, options)</a><span>, in § 7.7.45</span>
+   <li><a href="#dom-mloperanddatatype-uint32">"uint32"</a><span>, in § 7.9</span>
+   <li><a href="#dom-mloperanddatatype-uint64">"uint64"</a><span>, in § 7.9</span>
+   <li><a href="#dom-mloperanddatatype-uint8">"uint8"</a><span>, in § 7.9</span>
+   <li><a href="#dom-mltriangularoptions-upper">upper</a><span>, in § 7.7.45</span>
+   <li><a href="#validate-buffer-with-descriptor">validate buffer with descriptor</a><span>, in § 7.5.2</span>
+   <li><a href="#validate-graph-resources">validate graph resources</a><span>, in § 7.5.2</span>
+   <li><a href="#validate-mlcontext">validate MLContext</a><span>, in § 7.5.1</span>
+   <li><a href="#mloperand-validate-mloperand">validate MLOperand</a><span>, in § 7.8.1</span>
+   <li><a href="#dom-mlpadoptions-value">value</a><span>, in § 7.7.30</span>
+   <li><a href="#webgpu-context">webgpu-context</a><span>, in § 7.5</span>
    <li><a href="#webnn-feature">webnn-feature</a><span>, in § 7.2.1</span>
-   <li><a href="#dom-mlpool2doptions-windowdimensions">windowDimensions</a><span>, in § 7.6.25</span>
-   <li><a href="#dom-mlgruweightlayout-zrn">"zrn"</a><span>, in § 7.6.14</span>
+   <li><a href="#dom-mlgraphbuilder-where">where(condition, input, other)</a><span>, in § 7.7.46</span>
+   <li><a href="#dom-mlpool2doptions-windowdimensions">windowDimensions</a><span>, in § 7.7.31</span>
+   <li><a href="#dom-mlgruweightlayout-zrn">"zrn"</a><span>, in § 7.7.18</span>
   </ul>
   <h3 class="no-num no-ref heading settled" id="index-defined-elsewhere"><span class="content">Terms defined by reference</span><a class="self-link" href="#index-defined-elsewhere"></a></h3>
   <ul class="index">
@@ -8230,6 +9337,8 @@ <h3 class="no-num no-ref heading settled" id="index-defined-elsewhere"><span cla
     <a data-link-type="biblio">[INFRA]</a> defines the following terms:
     <ul>
      <li><span class="dfn-paneled" id="77b4c09a">assert</span>
+     <li><span class="dfn-paneled" id="7b0d918d">break</span>
+     <li><span class="dfn-paneled" id="f937b7b6">continue</span>
      <li><span class="dfn-paneled" id="1243a891">exist</span>
      <li><span class="dfn-paneled" id="45209803">for each</span>
      <li><span class="dfn-paneled" id="860300d4">implementation-defined</span>
@@ -8318,7 +9427,7 @@ <h3 class="no-num no-ref heading settled" id="normative"><span class="content">N
    <dt id="biblio-rfc2119">[RFC2119]
    <dd>S. Bradner. <a href="https://datatracker.ietf.org/doc/html/rfc2119"><cite>Key words for use in RFCs to Indicate Requirement Levels</cite></a>. March 1997. Best Current Practice. URL: <a href="https://datatracker.ietf.org/doc/html/rfc2119">https://datatracker.ietf.org/doc/html/rfc2119</a>
    <dt id="biblio-webgpu">[WEBGPU]
-   <dd>Kai Ninomiya; Brandon Jones; Myles Maxfield. <a href="https://gpuweb.github.io/gpuweb/"><cite>WebGPU</cite></a>. URL: <a href="https://gpuweb.github.io/gpuweb/">https://gpuweb.github.io/gpuweb/</a>
+   <dd>Kai Ninomiya; Brandon Jones; Jim Blandy. <a href="https://gpuweb.github.io/gpuweb/"><cite>WebGPU</cite></a>. URL: <a href="https://gpuweb.github.io/gpuweb/">https://gpuweb.github.io/gpuweb/</a>
    <dt id="biblio-webidl">[WEBIDL]
    <dd>Edgar Chen; Timothy Gu. <a href="https://webidl.spec.whatwg.org/"><cite>Web IDL Standard</cite></a>. Living Standard. URL: <a href="https://webidl.spec.whatwg.org/">https://webidl.spec.whatwg.org/</a>
   </dl>
@@ -8334,6 +9443,8 @@ <h3 class="no-num no-ref heading settled" id="informative"><span class="content"
    <dd>Bjarke Felbo; et al. <a href="https://arxiv.org/abs/1708.00524"><cite>Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm</cite></a>. October 2017. URL: <a href="https://arxiv.org/abs/1708.00524">https://arxiv.org/abs/1708.00524</a>
    <dt id="biblio-elu">[ELU]
    <dd>Djork-Arné Clevert; Thomas Unterthiner; Sepp Hochreiter. <a href="https://arxiv.org/abs/1511.07289"><cite>Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)</cite></a>. February 2016. URL: <a href="https://arxiv.org/abs/1511.07289">https://arxiv.org/abs/1511.07289</a>
+   <dt id="biblio-error-function">[Error-Function]
+   <dd>Larry C. Andrews. <a href="https://books.google.com/books?id=2CAqsF-RebgC&amp;pg=PA110"><cite>Special functions of mathematics for engineers</cite></a>. 1998. URL: <a href="https://books.google.com/books?id=2CAqsF-RebgC&amp;pg=PA110">https://books.google.com/books?id=2CAqsF-RebgC&amp;pg=PA110</a>
    <dt id="biblio-faceforensics">[FaceForensics++]
    <dd>Andreas Rössler; et al. <a href="https://github.com/ondyari/FaceForensics"><cite>FaceForensics++</cite></a>. January 2019. URL: <a href="https://github.com/ondyari/FaceForensics">https://github.com/ondyari/FaceForensics</a>
    <dt id="biblio-facenet">[FaceNet]
@@ -8350,6 +9461,8 @@ <h3 class="no-num no-ref heading settled" id="informative"><span class="content"
    <dd>Oriol Vinyals; et al. <a href="https://arxiv.org/abs/1609.06647"><cite>Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge</cite></a>. September 2016. URL: <a href="https://arxiv.org/abs/1609.06647">https://arxiv.org/abs/1609.06647</a>
    <dt id="biblio-instance-normalization">[Instance-Normalization]
    <dd>Dmitry Ulyanov; Andrea Vedaldi; Victor Lempitsky. <a href="https://arxiv.org/abs/1607.08022"><cite>Instance Normalization: The Missing Ingredient for Fast Stylization</cite></a>. July 2016. URL: <a href="https://arxiv.org/abs/1607.08022">https://arxiv.org/abs/1607.08022</a>
+   <dt id="biblio-layer-normalization">[Layer-Normalization]
+   <dd>Jimmy Lei Ba; Jamie Ryan Kiros; Geoffrey E. Hinton. <a href="https://arxiv.org/abs/1607.06450"><cite>Layer Normalization</cite></a>. July 2016. URL: <a href="https://arxiv.org/abs/1607.06450">https://arxiv.org/abs/1607.06450</a>
    <dt id="biblio-leakyrelu">[LeakyReLU]
    <dd>Andrew L. Maas; Awni Y. Hannun; Andrew Y. Ng. <a href="https://pdfs.semanticscholar.org/367f/2c63a6f6a10b3b64b8729d601e69337ee3cc.pdf"><cite>Rectifier Nonlinearities Improve Neural Network Acoustic Models</cite></a>. June 2013. URL: <a href="https://pdfs.semanticscholar.org/367f/2c63a6f6a10b3b64b8729d601e69337ee3cc.pdf">https://pdfs.semanticscholar.org/367f/2c63a6f6a10b3b64b8729d601e69337ee3cc.pdf</a>
    <dt id="biblio-lstm">[LSTM]
@@ -8418,35 +9531,26 @@ <h2 class="no-num no-ref heading settled" id="idl-index"><span class="content">I
 };
 
 [<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#SecureContext"><c- g>SecureContext</c-></a>, <a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#Exposed"><c- g>Exposed</c-></a>=(<c- n>Window</c->, <c- n>DedicatedWorker</c->)]
-<c- b>interface</c-> <a href="#mlgraph"><code><c- g>MLGraph</c-></code></a> {};
-
-<c- b>enum</c-> <a href="#enumdef-mlinputoperandlayout"><code><c- g>MLInputOperandLayout</c-></code></a> {
-  <a href="#dom-mlinputoperandlayout-nchw"><code><c- s>"nchw"</c-></code></a>,
-  <a href="#dom-mlinputoperandlayout-nhwc"><code><c- s>"nhwc"</c-></code></a>
+<c- b>interface</c-> <a href="#mlactivation"><code><c- g>MLActivation</c-></code></a> {
 };
 
-<c- b>enum</c-> <a href="#enumdef-mloperanddatatype"><code><c- g>MLOperandDataType</c-></code></a> {
-  <a href="#dom-mloperanddatatype-float32"><code><c- s>"float32"</c-></code></a>,
-  <a href="#dom-mloperanddatatype-float16"><code><c- s>"float16"</c-></code></a>,
-  <a href="#dom-mloperanddatatype-int32"><code><c- s>"int32"</c-></code></a>,
-  <a href="#dom-mloperanddatatype-uint32"><code><c- s>"uint32"</c-></code></a>,
-  <a href="#dom-mloperanddatatype-int8"><code><c- s>"int8"</c-></code></a>,
-  <a href="#dom-mloperanddatatype-uint8"><code><c- s>"uint8"</c-></code></a>
-};
+<c- b>typedef</c-> (<a data-link-type="idl-name" href="https://gpuweb.github.io/gpuweb/#gpubuffer"><c- n>GPUBuffer</c-></a> <c- b>or</c-> <a data-link-type="idl-name" href="https://gpuweb.github.io/gpuweb/#gputexture"><c- n>GPUTexture</c-></a>) <a href="#typedefdef-mlgpuresource"><code><c- g>MLGPUResource</c-></code></a>;
 
-<c- b>dictionary</c-> <a href="#dictdef-mloperanddescriptor"><code><c- g>MLOperandDescriptor</c-></code></a> {
-  // The operand data type.
-  <c- b>required</c-> <a data-link-type="idl-name" href="#enumdef-mloperanddatatype"><c- n>MLOperandDataType</c-></a> <a data-type="MLOperandDataType " href="#dom-mloperanddescriptor-datatype"><code><c- g>dataType</c-></code></a>;
+<c- b>typedef</c-> <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-record"><c- b>record</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-DOMString"><c- b>DOMString</c-></a>, <a data-link-type="idl-name" href="#typedefdef-mlgpuresource"><c- n>MLGPUResource</c-></a>> <a href="#typedefdef-mlnamedgpuresources"><code><c- g>MLNamedGPUResources</c-></code></a>;
 
-  // The dimensions field is only required for tensor operands.
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long"><c- b>unsigned</c-> <c- b>long</c-></a>> <a data-type="sequence<unsigned long> " href="#dom-mloperanddescriptor-dimensions"><code><c- g>dimensions</c-></code></a>;
+[<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#SecureContext"><c- g>SecureContext</c-></a>, <a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#Exposed"><c- g>Exposed</c-></a>=(<c- n>Window</c->, <c- n>DedicatedWorker</c->)]
+<c- b>interface</c-> <a href="#mlcommandencoder"><code><c- g>MLCommandEncoder</c-></code></a> {};
+
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlcommandencoder"><c- g>MLCommandEncoder</c-></a> {
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-undefined"><c- b>undefined</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlcommandencoder-initializegraph"><c- g>initializeGraph</c-></a>(<a data-link-type="idl-name" href="#mlgraph"><c- n>MLGraph</c-></a> <a href="#dom-mlcommandencoder-initializegraph-graph-graph"><code><c- g>graph</c-></code></a>);
 };
 
-[<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#SecureContext"><c- g>SecureContext</c-></a>, <a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#Exposed"><c- g>Exposed</c-></a>=(<c- n>Window</c->, <c- n>DedicatedWorker</c->)]
-<c- b>interface</c-> <a href="#mloperand"><code><c- g>MLOperand</c-></code></a> {};
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlcommandencoder"><c- g>MLCommandEncoder</c-></a> {
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-undefined"><c- b>undefined</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlcommandencoder-dispatch"><c- g>dispatch</c-></a>(<a data-link-type="idl-name" href="#mlgraph"><c- n>MLGraph</c-></a> <a href="#dom-mlcommandencoder-dispatch-graph-inputs-outputs-graph"><code><c- g>graph</c-></code></a>, <a data-link-type="idl-name" href="#typedefdef-mlnamedgpuresources"><c- n>MLNamedGPUResources</c-></a> <a href="#dom-mlcommandencoder-dispatch-graph-inputs-outputs-inputs"><code><c- g>inputs</c-></code></a>, <a data-link-type="idl-name" href="#typedefdef-mlnamedgpuresources"><c- n>MLNamedGPUResources</c-></a> <a href="#dom-mlcommandencoder-dispatch-graph-inputs-outputs-outputs"><code><c- g>outputs</c-></code></a>);
+};
 
-[<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#SecureContext"><c- g>SecureContext</c-></a>, <a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#Exposed"><c- g>Exposed</c-></a>=(<c- n>Window</c->, <c- n>DedicatedWorker</c->)]
-<c- b>interface</c-> <a href="#mlactivation"><code><c- g>MLActivation</c-></code></a> {
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlcommandencoder"><c- g>MLCommandEncoder</c-></a> {
+  <a data-link-type="idl-name" href="https://gpuweb.github.io/gpuweb/#gpucommandbuffer"><c- n>GPUCommandBuffer</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlcommandencoder-finish"><c- g>finish</c-></a>(<c- b>optional</c-> <a data-link-type="idl-name" href="https://gpuweb.github.io/gpuweb/#dictdef-gpucommandbufferdescriptor"><c- n>GPUCommandBufferDescriptor</c-></a> <a href="#dom-mlcommandencoder-finish-descriptor-descriptor"><code><c- g>descriptor</c-></code></a> = {});
 };
 
 <c- b>typedef</c-> <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-record"><c- b>record</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-DOMString"><c- b>DOMString</c-></a>, <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#ArrayBufferView"><c- n>ArrayBufferView</c-></a>> <a href="#typedefdef-mlnamedarraybufferviews"><code><c- g>MLNamedArrayBufferViews</c-></code></a>;
@@ -8474,24 +9578,8 @@ <h2 class="no-num no-ref heading settled" id="idl-index"><span class="content">I
   <a data-link-type="idl-name" href="#mlcommandencoder"><c- n>MLCommandEncoder</c-></a> <a href="#dom-mlcontext-createcommandencoder"><code><c- g>createCommandEncoder</c-></code></a>();
 };
 
-<c- b>typedef</c-> (<a data-link-type="idl-name" href="https://gpuweb.github.io/gpuweb/#gpubuffer"><c- n>GPUBuffer</c-></a> <c- b>or</c-> <a data-link-type="idl-name" href="https://gpuweb.github.io/gpuweb/#gputexture"><c- n>GPUTexture</c-></a>) <a href="#typedefdef-mlgpuresource"><code><c- g>MLGPUResource</c-></code></a>;
-
-<c- b>typedef</c-> <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-record"><c- b>record</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-DOMString"><c- b>DOMString</c-></a>, <a data-link-type="idl-name" href="#typedefdef-mlgpuresource"><c- n>MLGPUResource</c-></a>> <a href="#typedefdef-mlnamedgpuresources"><code><c- g>MLNamedGPUResources</c-></code></a>;
-
 [<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#SecureContext"><c- g>SecureContext</c-></a>, <a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#Exposed"><c- g>Exposed</c-></a>=(<c- n>Window</c->, <c- n>DedicatedWorker</c->)]
-<c- b>interface</c-> <a href="#mlcommandencoder"><code><c- g>MLCommandEncoder</c-></code></a> {};
-
-<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlcommandencoder"><c- g>MLCommandEncoder</c-></a> {
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-undefined"><c- b>undefined</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlcommandencoder-initializegraph"><c- g>initializeGraph</c-></a>(<a data-link-type="idl-name" href="#mlgraph"><c- n>MLGraph</c-></a> <a href="#dom-mlcommandencoder-initializegraph-graph-graph"><code><c- g>graph</c-></code></a>);
-};
-
-<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlcommandencoder"><c- g>MLCommandEncoder</c-></a> {
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-undefined"><c- b>undefined</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlcommandencoder-dispatch"><c- g>dispatch</c-></a>(<a data-link-type="idl-name" href="#mlgraph"><c- n>MLGraph</c-></a> <a href="#dom-mlcommandencoder-dispatch-graph-inputs-outputs-graph"><code><c- g>graph</c-></code></a>, <a data-link-type="idl-name" href="#typedefdef-mlnamedgpuresources"><c- n>MLNamedGPUResources</c-></a> <a href="#dom-mlcommandencoder-dispatch-graph-inputs-outputs-inputs"><code><c- g>inputs</c-></code></a>, <a data-link-type="idl-name" href="#typedefdef-mlnamedgpuresources"><c- n>MLNamedGPUResources</c-></a> <a href="#dom-mlcommandencoder-dispatch-graph-inputs-outputs-outputs"><code><c- g>outputs</c-></code></a>);
-};
-
-<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlcommandencoder"><c- g>MLCommandEncoder</c-></a> {
-  <a data-link-type="idl-name" href="https://gpuweb.github.io/gpuweb/#gpucommandbuffer"><c- n>GPUCommandBuffer</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlcommandencoder-finish"><c- g>finish</c-></a>(<c- b>optional</c-> <a data-link-type="idl-name" href="https://gpuweb.github.io/gpuweb/#dictdef-gpucommandbufferdescriptor"><c- n>GPUCommandBufferDescriptor</c-></a> <a href="#dom-mlcommandencoder-finish-descriptor-descriptor"><code><c- g>descriptor</c-></code></a> = {});
-};
+<c- b>interface</c-> <a href="#mlgraph"><code><c- g>MLGraph</c-></code></a> {};
 
 <c- b>typedef</c-> <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-record"><c- b>record</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-DOMString"><c- b>DOMString</c-></a>, <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a>> <a href="#typedefdef-mlnamedoperands"><code><c- g>MLNamedOperands</c-></code></a>;
 
@@ -8515,7 +9603,7 @@ <h2 class="no-num no-ref heading settled" id="idl-index"><span class="content">I
   <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-constant"><c- g>constant</c-></a>(<a data-link-type="idl-name" href="#dictdef-mloperanddescriptor"><c- n>MLOperandDescriptor</c-></a> <a href="#dom-mlgraphbuilder-constant-descriptor-bufferview-descriptor"><code><c- g>descriptor</c-></code></a>, <a data-link-type="idl-name" href="#typedefdef-mlbufferview"><c- n>MLBufferView</c-></a> <a href="#dom-mlgraphbuilder-constant-descriptor-bufferview-bufferview"><code><c- g>bufferView</c-></code></a>);
 
   // Create a single-value operand from the specified number of the specified type.
-  <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-constant-value-datatype"><c- g>constant</c-></a>(<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-double"><c- b>double</c-></a> <a href="#dom-mlgraphbuilder-constant-value-datatype-value"><code><c- g>value</c-></code></a>, <c- b>optional</c-> <a data-link-type="idl-name" href="#enumdef-mloperanddatatype"><c- n>MLOperandDataType</c-></a> <a href="#dom-mlgraphbuilder-constant-value-datatype-datatype"><code><c- g>dataType</c-></code></a> = "float32");
+  <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-constant-value-type"><c- g>constant</c-></a>(<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-double"><c- b>double</c-></a> <a href="#dom-mlgraphbuilder-constant-value-type-value"><code><c- g>value</c-></code></a>, <c- b>optional</c-> <a data-link-type="idl-name" href="#enumdef-mloperanddatatype"><c- n>MLOperandDataType</c-></a> <a href="#dom-mlgraphbuilder-constant-value-type-type"><code><c- g>type</c-></code></a> = "float32");
 
   // Compile the graph up to the specified output operands asynchronously.
   <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-promise"><c- b>Promise</c-></a>&lt;<a data-link-type="idl-name" href="#mlgraph"><c- n>MLGraph</c-></a>> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-build"><c- g>build</c-></a>(<a data-link-type="idl-name" href="#typedefdef-mlnamedoperands"><c- n>MLNamedOperands</c-></a> <a href="#dom-mlgraphbuilder-build-outputs-outputs"><code><c- g>outputs</c-></code></a>);
@@ -8525,6 +9613,17 @@ <h2 class="no-num no-ref heading settled" id="idl-index"><span class="content">I
   <a data-link-type="idl-name" href="#mlgraph"><c- n>MLGraph</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-buildsync"><c- g>buildSync</c-></a>(<a data-link-type="idl-name" href="#typedefdef-mlnamedoperands"><c- n>MLNamedOperands</c-></a> <a href="#dom-mlgraphbuilder-buildsync-outputs-outputs"><code><c- g>outputs</c-></code></a>);
 };
 
+<c- b>dictionary</c-> <a href="#dictdef-mlargminmaxoptions"><code><c- g>MLArgMinMaxOptions</c-></code></a> {
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-default="null" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlargminmaxoptions-axes"><c- g>axes</c-></a> = <c- b>null</c->;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-boolean"><c- b>boolean</c-></a> <a class="idl-code" data-default="false" data-link-type="dict-member" data-type="boolean " href="#dom-mlargminmaxoptions-keepdimensions"><c- g>keepDimensions</c-></a> = <c- b>false</c->;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-boolean"><c- b>boolean</c-></a> <a class="idl-code" data-default="false" data-link-type="dict-member" data-type="boolean " href="#dom-mlargminmaxoptions-selectlastindex"><c- g>selectLastIndex</c-></a> = <c- b>false</c->;
+};
+
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-argmin"><c- g>argMin</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-argmin-input-options-input"><code><c- g>input</c-></code></a>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlargminmaxoptions"><c- n>MLArgMinMaxOptions</c-></a> <a href="#dom-mlgraphbuilder-argmin-input-options-options"><code><c- g>options</c-></code></a> = {});
+  <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-argmax"><c- g>argMax</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-argmax-input-options-input"><code><c- g>input</c-></code></a>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlargminmaxoptions"><c- n>MLArgMinMaxOptions</c-></a> <a href="#dom-mlgraphbuilder-argmax-input-options-options"><code><c- g>options</c-></code></a> = {});
+};
+
 <c- b>dictionary</c-> <a href="#dictdef-mlbatchnormalizationoptions"><code><c- g>MLBatchNormalizationOptions</c-></code></a> {
   <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlbatchnormalizationoptions-scale"><c- g>scale</c-></a>;
   <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlbatchnormalizationoptions-bias"><c- g>bias</c-></a>;
@@ -8538,13 +9637,17 @@ <h2 class="no-num no-ref heading settled" id="idl-index"><span class="content">I
                              <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlbatchnormalizationoptions"><c- n>MLBatchNormalizationOptions</c-></a> <a href="#dom-mlgraphbuilder-batchnormalization-input-mean-variance-options-options"><code><c- g>options</c-></code></a> = {});
 };
 
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-cast"><c- g>cast</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-cast-input-type-input"><code><c- g>input</c-></code></a>, <a data-link-type="idl-name" href="#enumdef-mloperanddatatype"><c- n>MLOperandDataType</c-></a> <a href="#dom-mlgraphbuilder-cast-input-type-type"><code><c- g>type</c-></code></a>);
+};
+
 <c- b>dictionary</c-> <a href="#dictdef-mlclampoptions"><code><c- g>MLClampOptions</c-></code></a> {
   <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float"><c- b>float</c-></a> <a data-type="float " href="#dom-mlclampoptions-minvalue"><code><c- g>minValue</c-></code></a>;
   <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float"><c- b>float</c-></a> <a data-type="float " href="#dom-mlclampoptions-maxvalue"><code><c- g>maxValue</c-></code></a>;
 };
 
 <c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-clamp"><c- g>clamp</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-clamp-operand-options-operand"><code><c- g>operand</c-></code></a>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlclampoptions"><c- n>MLClampOptions</c-></a> <a href="#dom-mlgraphbuilder-clamp-operand-options-options"><code><c- g>options</c-></code></a> = {});
+  <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-clamp"><c- g>clamp</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-clamp-input-options-input"><code><c- g>input</c-></code></a>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlclampoptions"><c- n>MLClampOptions</c-></a> <a href="#dom-mlgraphbuilder-clamp-input-options-options"><code><c- g>options</c-></code></a> = {});
   <a data-link-type="idl-name" href="#mlactivation"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-clamp-options"><c- g>clamp</c-></a>(<c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlclampoptions"><c- n>MLClampOptions</c-></a> <a href="#dom-mlgraphbuilder-clamp-options-options"><code><c- g>options</c-></code></a> = {});
 };
 
@@ -8616,15 +9719,28 @@ <h2 class="no-num no-ref heading settled" id="idl-index"><span class="content">I
   <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-pow"><c- g>pow</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-pow-a-b-a"><code><c- g>a</c-></code></a>, <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-pow-a-b-b"><code><c- g>b</c-></code></a>);
 };
 
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-equal"><c- g>equal</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-equal-a-b-a"><code><c- g>a</c-></code></a>, <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-equal-a-b-b"><code><c- g>b</c-></code></a>);
+  <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-greater"><c- g>greater</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-greater-a-b-a"><code><c- g>a</c-></code></a>, <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-greater-a-b-b"><code><c- g>b</c-></code></a>);
+  <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-greaterorequal"><c- g>greaterOrEqual</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-greaterorequal-a-b-a"><code><c- g>a</c-></code></a>, <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-greaterorequal-a-b-b"><code><c- g>b</c-></code></a>);
+  <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-lesser"><c- g>lesser</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-lesser-a-b-a"><code><c- g>a</c-></code></a>, <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-lesser-a-b-b"><code><c- g>b</c-></code></a>);
+  <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-lesserorequal"><c- g>lesserOrEqual</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-lesserorequal-a-b-a"><code><c- g>a</c-></code></a>, <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-lesserorequal-a-b-b"><code><c- g>b</c-></code></a>);
+  <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-not"><c- g>not</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-not-a-a"><code><c- g>a</c-></code></a>);
+};
+
 <c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder"><c- g>MLGraphBuilder</c-></a> {
   <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-abs"><c- g>abs</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-abs-input-input"><code><c- g>input</c-></code></a>);
   <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-ceil"><c- g>ceil</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-ceil-input-input"><code><c- g>input</c-></code></a>);
   <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-cos"><c- g>cos</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-cos-input-input"><code><c- g>input</c-></code></a>);
+  <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-erf"><c- g>erf</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-erf-input-input"><code><c- g>input</c-></code></a>);
   <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-exp"><c- g>exp</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-exp-input-input"><code><c- g>input</c-></code></a>);
   <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-floor"><c- g>floor</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-floor-input-input"><code><c- g>input</c-></code></a>);
+  <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-identity"><c- g>identity</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-identity-input-input"><code><c- g>input</c-></code></a>);
   <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-log"><c- g>log</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-log-input-input"><code><c- g>input</c-></code></a>);
   <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-neg"><c- g>neg</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-neg-input-input"><code><c- g>input</c-></code></a>);
+  <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-reciprocal"><c- g>reciprocal</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-reciprocal-input-input"><code><c- g>input</c-></code></a>);
   <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-sin"><c- g>sin</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-sin-input-input"><code><c- g>input</c-></code></a>);
+  <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-sqrt"><c- g>sqrt</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-sqrt-input-input"><code><c- g>input</c-></code></a>);
   <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-tan"><c- g>tan</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-tan-input-input"><code><c- g>input</c-></code></a>);
 };
 
@@ -8637,6 +9753,18 @@ <h2 class="no-num no-ref heading settled" id="idl-index"><span class="content">I
   <a data-link-type="idl-name" href="#mlactivation"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-elu-options"><c- g>elu</c-></a>(<c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mleluoptions"><c- n>MLEluOptions</c-></a> <a href="#dom-mlgraphbuilder-elu-options-options"><code><c- g>options</c-></code></a> = {});
 };
 
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-expand"><c- g>expand</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-expand-input-newshape-input"><code><c- g>input</c-></code></a>, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long"><c- b>unsigned</c-> <c- b>long</c-></a>> <a href="#dom-mlgraphbuilder-expand-input-newshape-newshape"><code><c- g>newShape</c-></code></a>);
+};
+
+<c- b>dictionary</c-> <a href="#dictdef-mlgatheroptions"><code><c- g>MLGatherOptions</c-></code></a> {
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long"><c- b>unsigned</c-> <c- b>long</c-></a> <a class="idl-code" data-default="0" data-link-type="dict-member" data-type="unsigned long " href="#dom-mlgatheroptions-axis"><c- g>axis</c-></a> = 0;
+};
+
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-gather"><c- g>gather</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-gather-input-indices-options-input"><code><c- g>input</c-></code></a>, <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-gather-input-indices-options-indices"><code><c- g>indices</c-></code></a>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlgatheroptions"><c- n>MLGatherOptions</c-></a> <a href="#dom-mlgraphbuilder-gather-input-indices-options-options"><code><c- g>options</c-></code></a> = {});
+};
+
 <c- b>dictionary</c-> <a href="#dictdef-mlgemmoptions"><code><c- g>MLGemmOptions</c-></code></a> {
   <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlgemmoptions-c"><c- g>c</c-></a>;
   <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float"><c- b>float</c-></a> <a class="idl-code" data-default="1.0" data-link-type="dict-member" data-type="float " href="#dom-mlgemmoptions-alpha"><c- g>alpha</c-></a> = 1.0;
@@ -8718,6 +9846,17 @@ <h2 class="no-num no-ref heading settled" id="idl-index"><span class="content">I
                                 <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlinstancenormalizationoptions"><c- n>MLInstanceNormalizationOptions</c-></a> <a href="#dom-mlgraphbuilder-instancenormalization-input-options-options"><code><c- g>options</c-></code></a> = {});
 };
 
+<c- b>dictionary</c-> <a href="#dictdef-mllayernormalizationoptions"><code><c- g>MLLayerNormalizationOptions</c-></code></a> {
+  <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mllayernormalizationoptions-scale"><c- g>scale</c-></a>;
+  <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mllayernormalizationoptions-bias"><c- g>bias</c-></a>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mllayernormalizationoptions-axes"><c- g>axes</c-></a>;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float"><c- b>float</c-></a> <a class="idl-code" data-default="1e-5" data-link-type="dict-member" data-type="float " href="#dom-mllayernormalizationoptions-epsilon"><c- g>epsilon</c-></a> = 1e-5;
+};
+
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-layernormalization"><c- g>layerNormalization</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-layernormalization-input-options-input"><code><c- g>input</c-></code></a>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mllayernormalizationoptions"><c- n>MLLayerNormalizationOptions</c-></a> <a href="#dom-mlgraphbuilder-layernormalization-input-options-options"><code><c- g>options</c-></code></a> = {});
+};
+
 <c- b>dictionary</c-> <a href="#dictdef-mlleakyreluoptions"><code><c- g>MLLeakyReluOptions</c-></code></a> {
   <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float"><c- b>float</c-></a> <a class="idl-code" data-default="0.01" data-link-type="dict-member" data-type="float " href="#dom-mlleakyreluoptions-alpha"><c- g>alpha</c-></a> = 0.01;
 };
@@ -8824,8 +9963,8 @@ <h2 class="no-num no-ref heading settled" id="idl-index"><span class="content">I
 };
 
 <c- b>dictionary</c-> <a href="#dictdef-mlreduceoptions"><code><c- g>MLReduceOptions</c-></code></a> {
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long"><c- b>unsigned</c-> <c- b>long</c-></a>> <a data-default="null" data-type="sequence<unsigned long> " href="#dom-mlreduceoptions-axes"><code><c- g>axes</c-></code></a> = <c- b>null</c->;
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-boolean"><c- b>boolean</c-></a> <a data-default="false" data-type="boolean " href="#dom-mlreduceoptions-keepdimensions"><code><c- g>keepDimensions</c-></code></a> = <c- b>false</c->;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-default="null" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlreduceoptions-axes"><c- g>axes</c-></a> = <c- b>null</c->;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-boolean"><c- b>boolean</c-></a> <a class="idl-code" data-default="false" data-link-type="dict-member" data-type="boolean " href="#dom-mlreduceoptions-keepdimensions"><c- g>keepDimensions</c-></a> = <c- b>false</c->;
 };
 
 <c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder"><c- g>MLGraphBuilder</c-></a> {
@@ -8904,14 +10043,6 @@ <h2 class="no-num no-ref heading settled" id="idl-index"><span class="content">I
                           <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlsplitoptions"><c- n>MLSplitOptions</c-></a> <a href="#dom-mlgraphbuilder-split-input-splits-options-options"><code><c- g>options</c-></code></a> = {});
 };
 
-<c- b>dictionary</c-> <a href="#dictdef-mlsqueezeoptions"><code><c- g>MLSqueezeOptions</c-></code></a> {
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<unsigned long> " href="#dom-mlsqueezeoptions-axes"><c- g>axes</c-></a>;
-};
-
-<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-squeeze"><c- g>squeeze</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-squeeze-input-options-input"><code><c- g>input</c-></code></a>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlsqueezeoptions"><c- n>MLSqueezeOptions</c-></a> <a href="#dom-mlgraphbuilder-squeeze-input-options-options"><code><c- g>options</c-></code></a> = {});
-};
-
 <c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder"><c- g>MLGraphBuilder</c-></a> {
   <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-tanh"><c- g>tanh</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-tanh-input-input"><code><c- g>input</c-></code></a>);
   <a data-link-type="idl-name" href="#mlactivation"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="method" href="#tanh-noargs"><c- g>tanh</c-></a>();
@@ -8925,6 +10056,54 @@ <h2 class="no-num no-ref heading settled" id="idl-index"><span class="content">I
   <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-transpose"><c- g>transpose</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-transpose-input-options-input"><code><c- g>input</c-></code></a>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mltransposeoptions"><c- n>MLTransposeOptions</c-></a> <a href="#dom-mlgraphbuilder-transpose-input-options-options"><code><c- g>options</c-></code></a> = {});
 };
 
+<c- b>dictionary</c-> <a href="#dictdef-mltriangularoptions"><code><c- g>MLTriangularOptions</c-></code></a> {
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-boolean"><c- b>boolean</c-></a> <a class="idl-code" data-default="true" data-link-type="dict-member" data-type="boolean " href="#dom-mltriangularoptions-upper"><c- g>upper</c-></a> = <c- b>true</c->;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long"><c- b>long</c-></a> <a class="idl-code" data-default="0" data-link-type="dict-member" data-type="long " href="#dom-mltriangularoptions-diagonal"><c- g>diagonal</c-></a> = 0;
+};
+
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-triangular"><c- g>triangular</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-triangular-input-options-input"><code><c- g>input</c-></code></a>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mltriangularoptions"><c- n>MLTriangularOptions</c-></a> <a href="#dom-mlgraphbuilder-triangular-input-options-options"><code><c- g>options</c-></code></a> = {});
+};
+
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder"><c- g>MLGraphBuilder</c-></a> {
+  <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-where"><c- g>where</c-></a>(<a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-where-condition-input-other-condition"><code><c- g>condition</c-></code></a>, <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-where-condition-input-other-input"><code><c- g>input</c-></code></a>, <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a href="#dom-mlgraphbuilder-where-condition-input-other-other"><code><c- g>other</c-></code></a>);
+};
+
+[<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#SecureContext"><c- g>SecureContext</c-></a>, <a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#Exposed"><c- g>Exposed</c-></a>=(<c- n>Window</c->, <c- n>DedicatedWorker</c->)]
+<c- b>interface</c-> <a href="#mloperand"><code><c- g>MLOperand</c-></code></a> {};
+
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mloperand"><c- g>MLOperand</c-></a> {
+  <a data-link-type="idl-name" href="#enumdef-mloperanddatatype"><c- n>MLOperandDataType</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mloperand-datatype"><c- g>dataType</c-></a>();
+};
+
+<c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mloperand"><c- g>MLOperand</c-></a> {
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="method" href="#dom-mloperand-shape"><c- g>shape</c-></a>();
+};
+
+<c- b>enum</c-> <a href="#enumdef-mlinputoperandlayout"><code><c- g>MLInputOperandLayout</c-></code></a> {
+  <a href="#dom-mlinputoperandlayout-nchw"><code><c- s>"nchw"</c-></code></a>,
+  <a href="#dom-mlinputoperandlayout-nhwc"><code><c- s>"nhwc"</c-></code></a>
+};
+
+<c- b>enum</c-> <a href="#enumdef-mloperanddatatype"><code><c- g>MLOperandDataType</c-></code></a> {
+  <a href="#dom-mloperanddatatype-float32"><code><c- s>"float32"</c-></code></a>,
+  <a href="#dom-mloperanddatatype-float16"><code><c- s>"float16"</c-></code></a>,
+  <a href="#dom-mloperanddatatype-int32"><code><c- s>"int32"</c-></code></a>,
+  <a href="#dom-mloperanddatatype-uint32"><code><c- s>"uint32"</c-></code></a>,
+  <a href="#dom-mloperanddatatype-int64"><code><c- s>"int64"</c-></code></a>,
+  <a href="#dom-mloperanddatatype-uint64"><code><c- s>"uint64"</c-></code></a>,
+  <a href="#dom-mloperanddatatype-int8"><code><c- s>"int8"</c-></code></a>,
+  <a href="#dom-mloperanddatatype-uint8"><code><c- s>"uint8"</c-></code></a>
+};
+
+<c- b>dictionary</c-> <a href="#dictdef-mloperanddescriptor"><code><c- g>MLOperandDescriptor</c-></code></a> {
+  // The operand type.
+  <c- b>required</c-> <a data-link-type="idl-name" href="#enumdef-mloperanddatatype"><c- n>MLOperandDataType</c-></a> <a data-type="MLOperandDataType " href="#dom-mloperanddescriptor-datatype"><code><c- g>dataType</c-></code></a>;
+
+  // The dimensions field is only required for tensor operands.
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long"><c- b>unsigned</c-> <c- b>long</c-></a>> <a data-type="sequence<unsigned long> " href="#dom-mloperanddescriptor-dimensions"><code><c- g>dimensions</c-></code></a>;
+};
+
 </pre>
   <h2 class="no-num no-ref heading settled" id="issues-index"><span class="content">Issues Index</span><a class="self-link" href="#issues-index"></a></h2>
   <div style="counter-reset:issue">
@@ -9240,370 +10419,406 @@ <h2 class="no-num no-ref heading settled" id="issues-index"><span class="content
 </script>
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"7.7.21. hardSwish"}, {"refs": [{"id": "ref-for-mloperand\u2461\u2462\u2460"}, {"id": "ref-for-mloperand\u2461\u2462\u2461"}], "title": "7.7.21.1. hardSwish(input)"}, {"refs": [{"id": "ref-for-mloperand\u2461\u2462\u2462"}, {"id": "ref-for-mloperand\u2461\u2462\u2463"}], "title": "7.7.22. input"}, {"refs": [{"id": "ref-for-mloperand\u2461\u2462\u2464"}, {"id": "ref-for-mloperand\u2461\u2462\u2465"}, {"id": "ref-for-mloperand\u2461\u2462\u2466"}, {"id": "ref-for-mloperand\u2461\u2462\u2467"}, {"id": "ref-for-mloperand\u2461\u2462\u2468"}, {"id": "ref-for-mloperand\u2461\u2463\u24ea"}, {"id": "ref-for-mloperand\u2461\u2463\u2460"}, {"id": "ref-for-mloperand\u2461\u2463\u2461"}, {"id": "ref-for-mloperand\u2461\u2463\u2462"}, {"id": "ref-for-mloperand\u2461\u2463\u2463"}, {"id": "ref-for-mloperand\u2461\u2463\u2464"}, {"id": "ref-for-mloperand\u2461\u2463\u2465"}, {"id": "ref-for-mloperand\u2461\u2463\u2466"}], "title": "7.7.23. instanceNormalization"}, {"refs": [{"id": 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"ref-for-mloperand\u2461\u2465\u2465"}], "title": "7.7.26. linear"}, {"refs": [{"id": "ref-for-mloperand\u2461\u2465\u2466"}, {"id": "ref-for-mloperand\u2461\u2465\u2467"}], "title": "7.7.26.1. linear(input, options)"}, {"refs": [{"id": "ref-for-mloperand\u2461\u2465\u2468"}, {"id": "ref-for-mloperand\u2461\u2466\u24ea"}, {"id": "ref-for-mloperand\u2461\u2466\u2460"}, {"id": "ref-for-mloperand\u2461\u2466\u2461"}, {"id": "ref-for-mloperand\u2461\u2466\u2462"}, {"id": "ref-for-mloperand\u2461\u2466\u2463"}, {"id": "ref-for-mloperand\u2461\u2466\u2464"}, {"id": "ref-for-mloperand\u2461\u2466\u2465"}, {"id": "ref-for-mloperand\u2461\u2466\u2466"}, {"id": "ref-for-mloperand\u2461\u2466\u2467"}, {"id": "ref-for-mloperand\u2461\u2466\u2468"}, {"id": "ref-for-mloperand\u2461\u2467\u24ea"}, {"id": "ref-for-mloperand\u2461\u2467\u2460"}, {"id": "ref-for-mloperand\u2461\u2467\u2461"}, {"id": "ref-for-mloperand\u2461\u2467\u2462"}, {"id": "ref-for-mloperand\u2461\u2467\u2463"}, {"id": "ref-for-mloperand\u2461\u2467\u2464"}, {"id": "ref-for-mloperand\u2461\u2467\u2465"}, {"id": "ref-for-mloperand\u2461\u2467\u2466"}, {"id": "ref-for-mloperand\u2461\u2467\u2467"}, {"id": "ref-for-mloperand\u2461\u2467\u2468"}, {"id": "ref-for-mloperand\u2461\u2468\u24ea"}, {"id": "ref-for-mloperand\u2461\u2468\u2460"}, {"id": "ref-for-mloperand\u2461\u2468\u2461"}, {"id": "ref-for-mloperand\u2461\u2468\u2462"}, {"id": "ref-for-mloperand\u2461\u2468\u2463"}, {"id": "ref-for-mloperand\u2461\u2468\u2464"}, {"id": "ref-for-mloperand\u2461\u2468\u2465"}, {"id": "ref-for-mloperand\u2461\u2468\u2466"}], "title": "7.7.27. lstm"}, {"refs": [{"id": "ref-for-mloperand\u2461\u2468\u2467"}, {"id": "ref-for-mloperand\u2461\u2468\u2468"}, {"id": "ref-for-mloperand\u2462\u24ea\u24ea"}, {"id": "ref-for-mloperand\u2462\u24ea\u2460"}, {"id": "ref-for-mloperand\u2462\u24ea\u2461"}, {"id": "ref-for-mloperand\u2462\u24ea\u2462"}, {"id": "ref-for-mloperand\u2462\u24ea\u2463"}, {"id": "ref-for-mloperand\u2462\u24ea\u2464"}, {"id": "ref-for-mloperand\u2462\u24ea\u2465"}, {"id": "ref-for-mloperand\u2462\u24ea\u2466"}, {"id": "ref-for-mloperand\u2462\u24ea\u2467"}, {"id": "ref-for-mloperand\u2462\u24ea\u2468"}, {"id": "ref-for-mloperand\u2462\u2460\u24ea"}, {"id": "ref-for-mloperand\u2462\u2460\u2460"}, {"id": "ref-for-mloperand\u2462\u2460\u2461"}, {"id": "ref-for-mloperand\u2462\u2460\u2462"}, {"id": "ref-for-mloperand\u2462\u2460\u2463"}, {"id": "ref-for-mloperand\u2462\u2460\u2464"}, {"id": "ref-for-mloperand\u2462\u2460\u2465"}, {"id": "ref-for-mloperand\u2462\u2460\u2466"}, {"id": "ref-for-mloperand\u2462\u2460\u2467"}, {"id": "ref-for-mloperand\u2462\u2460\u2468"}, {"id": "ref-for-mloperand\u2462\u2461\u24ea"}, {"id": "ref-for-mloperand\u2462\u2461\u2460"}, {"id": "ref-for-mloperand\u2462\u2461\u2461"}], "title": "7.7.28. lstmCell"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2461\u2462"}, {"id": "ref-for-mloperand\u2462\u2461\u2463"}, {"id": "ref-for-mloperand\u2462\u2461\u2464"}, {"id": "ref-for-mloperand\u2462\u2461\u2465"}, {"id": "ref-for-mloperand\u2462\u2461\u2466"}, {"id": "ref-for-mloperand\u2462\u2461\u2467"}, {"id": "ref-for-mloperand\u2462\u2461\u2468"}], "title": "7.7.29. matmul"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2462\u24ea"}, {"id": "ref-for-mloperand\u2462\u2462\u2460"}, {"id": "ref-for-mloperand\u2462\u2462\u2461"}, {"id": "ref-for-mloperand\u2462\u2462\u2462"}, {"id": "ref-for-mloperand\u2462\u2462\u2463"}], "title": "7.7.30. pad"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2462\u2464"}, {"id": "ref-for-mloperand\u2462\u2462\u2465"}, {"id": "ref-for-mloperand\u2462\u2462\u2466"}, {"id": "ref-for-mloperand\u2462\u2462\u2467"}, {"id": "ref-for-mloperand\u2462\u2462\u2468"}, {"id": "ref-for-mloperand\u2462\u2463\u24ea"}, {"id": "ref-for-mloperand\u2462\u2463\u2460"}, {"id": "ref-for-mloperand\u2462\u2463\u2461"}, {"id": "ref-for-mloperand\u2462\u2463\u2462"}], "title": "7.7.31. Pooling operations"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2463\u2463"}, {"id": "ref-for-mloperand\u2462\u2463\u2464"}, {"id": "ref-for-mloperand\u2462\u2463\u2465"}, {"id": "ref-for-mloperand\u2462\u2463\u2466"}, {"id": "ref-for-mloperand\u2462\u2463\u2467"}, {"id": "ref-for-mloperand\u2462\u2463\u2468"}, {"id": "ref-for-mloperand\u2462\u2464\u24ea"}], "title": "7.7.32. prelu"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2464\u2460"}, {"id": "ref-for-mloperand\u2462\u2464\u2461"}, {"id": "ref-for-mloperand\u2462\u2464\u2462"}, {"id": "ref-for-mloperand\u2462\u2464\u2463"}, {"id": "ref-for-mloperand\u2462\u2464\u2464"}, {"id": "ref-for-mloperand\u2462\u2464\u2465"}, {"id": "ref-for-mloperand\u2462\u2464\u2466"}, {"id": "ref-for-mloperand\u2462\u2464\u2467"}, {"id": "ref-for-mloperand\u2462\u2464\u2468"}, {"id": "ref-for-mloperand\u2462\u2465\u24ea"}, {"id": "ref-for-mloperand\u2462\u2465\u2460"}, {"id": "ref-for-mloperand\u2462\u2465\u2461"}, {"id": "ref-for-mloperand\u2462\u2465\u2462"}, {"id": "ref-for-mloperand\u2462\u2465\u2463"}, {"id": "ref-for-mloperand\u2462\u2465\u2464"}, {"id": "ref-for-mloperand\u2462\u2465\u2465"}, {"id": "ref-for-mloperand\u2462\u2465\u2466"}, {"id": "ref-for-mloperand\u2462\u2465\u2467"}, {"id": "ref-for-mloperand\u2462\u2465\u2468"}, {"id": "ref-for-mloperand\u2462\u2466\u24ea"}, {"id": "ref-for-mloperand\u2462\u2466\u2460"}, {"id": "ref-for-mloperand\u2462\u2466\u2461"}, {"id": "ref-for-mloperand\u2462\u2466\u2462"}], "title": "7.7.33. Reduction operations"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2466\u2463"}, {"id": "ref-for-mloperand\u2462\u2466\u2464"}], "title": "7.7.34. relu"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2466\u2465"}, {"id": "ref-for-mloperand\u2462\u2466\u2466"}, {"id": "ref-for-mloperand\u2462\u2466\u2467"}], "title": "7.7.34.1. relu(input)"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2466\u2468"}, {"id": "ref-for-mloperand\u2462\u2467\u24ea"}, {"id": "ref-for-mloperand\u2462\u2467\u2460"}, {"id": "ref-for-mloperand\u2462\u2467\u2461"}], "title": "7.7.35. resample2d"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2467\u2462"}, {"id": "ref-for-mloperand\u2462\u2467\u2463"}, {"id": "ref-for-mloperand\u2462\u2467\u2464"}, {"id": "ref-for-mloperand\u2462\u2467\u2465"}, {"id": "ref-for-mloperand\u2462\u2467\u2466"}], "title": "7.7.36. reshape"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2467\u2467"}, {"id": "ref-for-mloperand\u2462\u2467\u2468"}], "title": "7.7.37. sigmoid"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2468\u24ea"}, {"id": "ref-for-mloperand\u2462\u2468\u2460"}, {"id": "ref-for-mloperand\u2462\u2468\u2461"}], "title": "7.7.37.1. sigmoid(input)"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2468\u2462"}, {"id": "ref-for-mloperand\u2462\u2468\u2463"}, {"id": "ref-for-mloperand\u2462\u2468\u2464"}, {"id": "ref-for-mloperand\u2462\u2468\u2465"}, {"id": "ref-for-mloperand\u2462\u2468\u2466"}], "title": "7.7.38. slice"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2468\u2467"}, {"id": "ref-for-mloperand\u2462\u2468\u2468"}], "title": "7.7.39. softmax"}, {"refs": [{"id": "ref-for-mloperand\u2463\u24ea\u24ea"}, {"id": "ref-for-mloperand\u2463\u24ea\u2460"}, {"id": "ref-for-mloperand\u2463\u24ea\u2461"}], "title": "7.7.39.1. softmax(input)"}, {"refs": [{"id": "ref-for-mloperand\u2463\u24ea\u2462"}, {"id": "ref-for-mloperand\u2463\u24ea\u2463"}], "title": "7.7.40. softplus"}, {"refs": [{"id": "ref-for-mloperand\u2463\u24ea\u2464"}, {"id": "ref-for-mloperand\u2463\u24ea\u2465"}], "title": "7.7.40.1. softplus(input, options)"}, {"refs": [{"id": "ref-for-mloperand\u2463\u24ea\u2466"}, {"id": "ref-for-mloperand\u2463\u24ea\u2467"}], "title": "7.7.41. softsign"}, {"refs": [{"id": "ref-for-mloperand\u2463\u24ea\u2468"}, {"id": "ref-for-mloperand\u2463\u2460\u24ea"}, {"id": "ref-for-mloperand\u2463\u2460\u2460"}], "title": "7.7.41.1. softsign(input)"}, {"refs": [{"id": "ref-for-mloperand\u2463\u2460\u2461"}, {"id": "ref-for-mloperand\u2463\u2460\u2462"}, {"id": "ref-for-mloperand\u2463\u2460\u2463"}, {"id": "ref-for-mloperand\u2463\u2460\u2464"}, {"id": "ref-for-mloperand\u2463\u2460\u2465"}], "title": "7.7.42. split"}, {"refs": [{"id": "ref-for-mloperand\u2463\u2460\u2466"}, {"id": "ref-for-mloperand\u2463\u2460\u2467"}], "title": "7.7.43. tanh"}, {"refs": [{"id": "ref-for-mloperand\u2463\u2460\u2468"}, {"id": "ref-for-mloperand\u2463\u2461\u24ea"}, {"id": "ref-for-mloperand\u2463\u2461\u2460"}], "title": "7.7.43.1. tanh(input)"}, {"refs": [{"id": "ref-for-mloperand\u2463\u2461\u2461"}, {"id": "ref-for-mloperand\u2463\u2461\u2462"}, {"id": "ref-for-mloperand\u2463\u2461\u2463"}, {"id": "ref-for-mloperand\u2463\u2461\u2464"}, {"id": "ref-for-mloperand\u2463\u2461\u2465"}], "title": "7.7.44. transpose"}, {"refs": [{"id": "ref-for-mloperand\u2463\u2461\u2466"}, {"id": "ref-for-mloperand\u2463\u2461\u2467"}, {"id": "ref-for-mloperand\u2463\u2461\u2468"}, {"id": "ref-for-mloperand\u2463\u2462\u24ea"}], "title": "7.7.45. triangular"}, {"refs": [{"id": "ref-for-mloperand\u2463\u2462\u2460"}, {"id": "ref-for-mloperand\u2463\u2462\u2461"}, {"id": "ref-for-mloperand\u2463\u2462\u2462"}, {"id": "ref-for-mloperand\u2463\u2462\u2463"}, {"id": "ref-for-mloperand\u2463\u2462\u2464"}, {"id": "ref-for-mloperand\u2463\u2462\u2465"}, {"id": "ref-for-mloperand\u2463\u2462\u2466"}, {"id": "ref-for-mloperand\u2463\u2462\u2467"}, {"id": "ref-for-mloperand\u2463\u2462\u2468"}], "title": "7.7.46. where"}, {"refs": [{"id": "ref-for-mloperand\u2463\u2463\u24ea"}, {"id": "ref-for-mloperand\u2463\u2463\u2460"}, {"id": "ref-for-mloperand\u2463\u2463\u2461"}, {"id": "ref-for-mloperand\u2463\u2463\u2462"}, {"id": "ref-for-mloperand\u2463\u2463\u2463"}, {"id": "ref-for-mloperand\u2463\u2463\u2464"}, {"id": "ref-for-mloperand\u2463\u2463\u2465"}, {"id": "ref-for-mloperand\u2463\u2463\u2466"}, {"id": "ref-for-mloperand\u2463\u2463\u2467"}, {"id": "ref-for-mloperand\u2463\u2463\u2468"}, {"id": "ref-for-mloperand\u2463\u2464\u24ea"}], "title": "7.8. MLOperand interface"}, {"refs": [{"id": "ref-for-mloperand\u2463\u2464\u2460"}, {"id": "ref-for-mloperand\u2463\u2464\u2461"}, {"id": "ref-for-mloperand\u2463\u2464\u2462"}], "title": "7.8.1. Creating MLOperand"}, {"refs": [{"id": "ref-for-mloperand\u2463\u2464\u2463"}, {"id": "ref-for-mloperand\u2463\u2464\u2464"}], "title": "7.8.2. dataType"}, {"refs": [{"id": "ref-for-mloperand\u2463\u2464\u2465"}, {"id": "ref-for-mloperand\u2463\u2464\u2466"}], "title": "7.8.3. shape"}], "external": false};
+window.dfnpanelData['dom-mloperand-builder-slot'] = {"dfnID": "dom-mloperand-builder-slot", "url": "#dom-mloperand-builder-slot", "dfnText": "[[builder]]", "refSections": [{"refs": [{"id": "ref-for-dom-mloperand-builder-slot"}], "title": "7.8. MLOperand interface"}, {"refs": [{"id": "ref-for-dom-mloperand-builder-slot\u2460"}, {"id": "ref-for-dom-mloperand-builder-slot\u2461"}, {"id": "ref-for-dom-mloperand-builder-slot\u2462"}, {"id": "ref-for-dom-mloperand-builder-slot\u2463"}, {"id": "ref-for-dom-mloperand-builder-slot\u2464"}], "title": "7.8.1. Creating MLOperand"}], "external": false};
+window.dfnpanelData['dom-mloperand-descriptor-slot'] = {"dfnID": "dom-mloperand-descriptor-slot", "url": "#dom-mloperand-descriptor-slot", "dfnText": "[[descriptor]]", "refSections": [{"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2460"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2461"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2462"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2463"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2464"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2465"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2466"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2467"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2468"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2460\u24ea"}], "title": "7.7.3. batchNormalization"}, {"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot\u2460\u2460"}], "title": "7.7.4.2. buildSync(outputs)"}, {"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot\u2460\u2461"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2460\u2462"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2460\u2463"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2460\u2464"}], "title": "7.7.7. concat"}, {"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot\u2460\u2465"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2460\u2466"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2460\u2467"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2460\u2468"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2461\u24ea"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2461\u2460"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2461\u2461"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2461\u2462"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2461\u2463"}], "title": "7.7.9. conv2d"}, {"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot\u2461\u2464"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2461\u2465"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2461\u2466"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2461\u2467"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2461\u2468"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2462\u24ea"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2462\u2460"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2462\u2461"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2462\u2462"}], "title": "7.7.10. convTranspose2d"}, {"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot\u2462\u2463"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2462\u2464"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2462\u2465"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2462\u2466"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2462\u2467"}], "title": "7.7.11. Element-wise binary operations"}, {"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot\u2462\u2468"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2463\u24ea"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2463\u2460"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2463\u2461"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2463\u2462"}], "title": "7.7.12. Element-wise logical operations"}, {"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot\u2463\u2463"}], "title": "7.7.15. expand"}, {"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot\u2463\u2464"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2463\u2465"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2463\u2466"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2463\u2467"}], "title": "7.7.16. gather"}, {"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot\u2463\u2468"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2464\u24ea"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2464\u2460"}], "title": "7.7.17. gemm"}, {"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot\u2464\u2461"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2464\u2462"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2464\u2463"}], "title": "7.7.18. gru"}, {"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot\u2464\u2464"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2464\u2465"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2464\u2466"}], "title": "7.7.19. gruCell"}, {"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot\u2464\u2467"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2464\u2468"}], "title": "7.7.23. instanceNormalization"}, {"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot\u2465\u24ea"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2465\u2460"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2465\u2461"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2465\u2462"}], "title": "7.7.24. layerNormalization"}, {"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot\u2465\u2463"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2465\u2464"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2465\u2465"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2465\u2466"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2465\u2467"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2465\u2468"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2466\u24ea"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2466\u2460"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2466\u2461"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2466\u2462"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2466\u2463"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2466\u2464"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2466\u2465"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2466\u2466"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2466\u2467"}], "title": "7.7.27. lstm"}, {"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot\u2466\u2468"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2467\u24ea"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2467\u2460"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2467\u2461"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2467\u2462"}], "title": "7.7.28. lstmCell"}, {"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot\u2467\u2463"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2467\u2464"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2467\u2465"}], "title": "7.7.29. matmul"}, {"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot\u2467\u2466"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2467\u2467"}], "title": "7.7.30. pad"}, {"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot\u2467\u2468"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2468\u24ea"}], "title": "7.7.31. Pooling operations"}, {"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot\u2468\u2460"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2468\u2461"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2468\u2462"}], "title": "7.7.32. prelu"}, {"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot\u2468\u2463"}], "title": "7.7.33. Reduction operations"}, {"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot\u2468\u2464"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2468\u2465"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2468\u2466"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2468\u2467"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2468\u2468"}], "title": "7.7.35. resample2d"}, {"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot\u2460\u24ea\u24ea"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2460\u24ea\u2460"}], "title": "7.7.36. reshape"}, {"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot\u2460\u24ea\u2461"}], "title": "7.7.39.1. softmax(input)"}, {"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot\u2460\u24ea\u2462"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2460\u24ea\u2463"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2460\u24ea\u2464"}], "title": "7.7.44. transpose"}, {"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot\u2460\u24ea\u2465"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2460\u24ea\u2466"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2460\u24ea\u2467"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2460\u24ea\u2468"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2460\u2460\u24ea"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2460\u2460\u2460"}], "title": "7.7.46. where"}, {"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot\u2460\u2460\u2461"}], "title": "7.8. MLOperand interface"}, {"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot\u2460\u2460\u2462"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2460\u2460\u2463"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2460\u2460\u2464"}, {"id": "ref-for-dom-mloperand-descriptor-slot\u2460\u2460\u2465"}], "title": "7.8.1. Creating MLOperand"}, {"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot\u2460\u2460\u2466"}], "title": "7.8.2. dataType"}, {"refs": [{"id": "ref-for-dom-mloperand-descriptor-slot\u2460\u2460\u2467"}], "title": "7.8.3. shape"}], "external": false};
+window.dfnpanelData['dom-mloperand-name-slot'] = {"dfnID": "dom-mloperand-name-slot", "url": "#dom-mloperand-name-slot", "dfnText": "[[name]]", "refSections": [{"refs": [{"id": "ref-for-dom-mloperand-name-slot"}, {"id": "ref-for-dom-mloperand-name-slot\u2460"}], "title": "7.7.4.2. buildSync(outputs)"}, {"refs": [{"id": "ref-for-dom-mloperand-name-slot\u2461"}], "title": "7.7.22. input"}, {"refs": [{"id": "ref-for-dom-mloperand-name-slot\u2462"}, {"id": "ref-for-dom-mloperand-name-slot\u2463"}, {"id": "ref-for-dom-mloperand-name-slot\u2464"}], "title": "7.8.1. Creating MLOperand"}], "external": false};
+window.dfnpanelData['dom-mloperand-operand-slot'] = {"dfnID": "dom-mloperand-operand-slot", "url": "#dom-mloperand-operand-slot", "dfnText": "[[operand]]", "refSections": [{"refs": [{"id": "ref-for-dom-mloperand-operand-slot"}, {"id": "ref-for-dom-mloperand-operand-slot\u2460"}, {"id": "ref-for-dom-mloperand-operand-slot\u2461"}], "title": "7.7.2. argMin/Max"}, {"refs": [{"id": "ref-for-dom-mloperand-operand-slot\u2462"}], "title": "7.7.4.2. buildSync(outputs)"}, {"refs": [{"id": "ref-for-dom-mloperand-operand-slot\u2463"}, {"id": "ref-for-dom-mloperand-operand-slot\u2464"}, {"id": "ref-for-dom-mloperand-operand-slot\u2465"}], "title": "7.7.5. cast"}, {"refs": [{"id": "ref-for-dom-mloperand-operand-slot\u2466"}, {"id": "ref-for-dom-mloperand-operand-slot\u2467"}, {"id": "ref-for-dom-mloperand-operand-slot\u2468"}], "title": "7.7.6.1. clamp(input, options)"}, {"refs": [{"id": "ref-for-dom-mloperand-operand-slot\u2460\u24ea"}, {"id": "ref-for-dom-mloperand-operand-slot\u2460\u2460"}], "title": "7.7.7. concat"}, {"refs": [{"id": "ref-for-dom-mloperand-operand-slot\u2460\u2461"}], "title": "7.7.8.1. constant(descriptor, bufferView)"}, {"refs": [{"id": "ref-for-dom-mloperand-operand-slot\u2460\u2462"}], "title": "7.7.8.2. constant(value, type)"}, {"refs": [{"id": "ref-for-dom-mloperand-operand-slot\u2460\u2463"}], "title": "7.7.8.3. constant(start, end, step, type)"}, {"refs": [{"id": "ref-for-dom-mloperand-operand-slot\u2460\u2464"}, {"id": "ref-for-dom-mloperand-operand-slot\u2460\u2465"}, {"id": "ref-for-dom-mloperand-operand-slot\u2460\u2466"}], "title": "7.7.9. conv2d"}, {"refs": [{"id": "ref-for-dom-mloperand-operand-slot\u2460\u2467"}, {"id": "ref-for-dom-mloperand-operand-slot\u2460\u2468"}, {"id": "ref-for-dom-mloperand-operand-slot\u2461\u24ea"}], "title": "7.7.10. convTranspose2d"}, {"refs": [{"id": "ref-for-dom-mloperand-operand-slot\u2461\u2460"}, {"id": "ref-for-dom-mloperand-operand-slot\u2461\u2461"}, {"id": "ref-for-dom-mloperand-operand-slot\u2461\u2462"}, {"id": "ref-for-dom-mloperand-operand-slot\u2461\u2463"}], "title": "7.7.11. Element-wise binary operations"}, {"refs": [{"id": "ref-for-dom-mloperand-operand-slot\u2461\u2464"}, {"id": "ref-for-dom-mloperand-operand-slot\u2461\u2465"}, {"id": "ref-for-dom-mloperand-operand-slot\u2461\u2466"}, {"id": "ref-for-dom-mloperand-operand-slot\u2461\u2467"}], "title": "7.7.12. Element-wise logical operations"}, {"refs": [{"id": "ref-for-dom-mloperand-operand-slot\u2461\u2468"}, {"id": "ref-for-dom-mloperand-operand-slot\u2462\u24ea"}, {"id": "ref-for-dom-mloperand-operand-slot\u2462\u2460"}], "title": "7.7.13. 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The clamp() method"}, {"refs": [{"id": "ref-for-mloperand\u2464\u2460"}, {"id": "ref-for-mloperand\u2464\u2461"}, {"id": "ref-for-mloperand\u2464\u2462"}], "title": "7.6.6.1. The clamp(operand, options) method"}, {"refs": [{"id": "ref-for-mloperand\u2464\u2463"}, {"id": "ref-for-mloperand\u2464\u2464"}, {"id": "ref-for-mloperand\u2464\u2465"}, {"id": "ref-for-mloperand\u2464\u2466"}, {"id": "ref-for-mloperand\u2464\u2467"}], "title": "7.6.7. The concat() method"}, {"refs": [{"id": "ref-for-mloperand\u2464\u2468"}, {"id": "ref-for-mloperand\u2465\u24ea"}, {"id": "ref-for-mloperand\u2465\u2460"}, {"id": "ref-for-mloperand\u2465\u2461"}, {"id": "ref-for-mloperand\u2465\u2462"}, {"id": "ref-for-mloperand\u2465\u2463"}, {"id": "ref-for-mloperand\u2465\u2464"}, {"id": "ref-for-mloperand\u2465\u2465"}, {"id": "ref-for-mloperand\u2465\u2466"}, {"id": "ref-for-mloperand\u2465\u2467"}, {"id": "ref-for-mloperand\u2465\u2468"}], "title": "7.6.8. The conv2d() method"}, {"refs": [{"id": "ref-for-mloperand\u2466\u24ea"}, {"id": "ref-for-mloperand\u2466\u2460"}, {"id": "ref-for-mloperand\u2466\u2461"}, {"id": "ref-for-mloperand\u2466\u2462"}, {"id": "ref-for-mloperand\u2466\u2463"}, {"id": "ref-for-mloperand\u2466\u2464"}, {"id": "ref-for-mloperand\u2466\u2465"}, {"id": "ref-for-mloperand\u2466\u2466"}, {"id": "ref-for-mloperand\u2466\u2467"}, {"id": "ref-for-mloperand\u2466\u2468"}, {"id": "ref-for-mloperand\u2467\u24ea"}], "title": "7.6.9. The convTranspose2d() method"}, {"refs": [{"id": "ref-for-mloperand\u2467\u2460"}, {"id": "ref-for-mloperand\u2467\u2461"}, {"id": "ref-for-mloperand\u2467\u2462"}, {"id": "ref-for-mloperand\u2467\u2463"}, {"id": "ref-for-mloperand\u2467\u2464"}, {"id": "ref-for-mloperand\u2467\u2465"}, {"id": "ref-for-mloperand\u2467\u2466"}, {"id": "ref-for-mloperand\u2467\u2467"}, {"id": "ref-for-mloperand\u2467\u2468"}, {"id": "ref-for-mloperand\u2468\u24ea"}, {"id": "ref-for-mloperand\u2468\u2460"}, {"id": "ref-for-mloperand\u2468\u2461"}, {"id": "ref-for-mloperand\u2468\u2462"}, {"id": "ref-for-mloperand\u2468\u2463"}, {"id": "ref-for-mloperand\u2468\u2464"}, {"id": "ref-for-mloperand\u2468\u2465"}, {"id": "ref-for-mloperand\u2468\u2466"}, {"id": "ref-for-mloperand\u2468\u2467"}, {"id": "ref-for-mloperand\u2468\u2468"}, {"id": "ref-for-mloperand\u2460\u24ea\u24ea"}, {"id": "ref-for-mloperand\u2460\u24ea\u2460"}, {"id": "ref-for-mloperand\u2460\u24ea\u2461"}, {"id": "ref-for-mloperand\u2460\u24ea\u2462"}, {"id": "ref-for-mloperand\u2460\u24ea\u2463"}, {"id": "ref-for-mloperand\u2460\u24ea\u2464"}], "title": "7.6.10. Element-wise binary operations"}, {"refs": [{"id": "ref-for-mloperand\u2460\u24ea\u2465"}, {"id": "ref-for-mloperand\u2460\u24ea\u2466"}, {"id": "ref-for-mloperand\u2460\u24ea\u2467"}, {"id": "ref-for-mloperand\u2460\u24ea\u2468"}, {"id": "ref-for-mloperand\u2460\u2460\u24ea"}, {"id": "ref-for-mloperand\u2460\u2460\u2460"}, {"id": "ref-for-mloperand\u2460\u2460\u2461"}, {"id": "ref-for-mloperand\u2460\u2460\u2462"}, {"id": "ref-for-mloperand\u2460\u2460\u2463"}, {"id": "ref-for-mloperand\u2460\u2460\u2464"}, {"id": "ref-for-mloperand\u2460\u2460\u2465"}, {"id": "ref-for-mloperand\u2460\u2460\u2466"}, {"id": "ref-for-mloperand\u2460\u2460\u2467"}, {"id": "ref-for-mloperand\u2460\u2460\u2468"}, {"id": "ref-for-mloperand\u2460\u2461\u24ea"}, {"id": "ref-for-mloperand\u2460\u2461\u2460"}, {"id": "ref-for-mloperand\u2460\u2461\u2461"}, {"id": "ref-for-mloperand\u2460\u2461\u2462"}, {"id": "ref-for-mloperand\u2460\u2461\u2463"}, {"id": "ref-for-mloperand\u2460\u2461\u2464"}, {"id": "ref-for-mloperand\u2460\u2461\u2465"}], "title": "7.6.11. Element-wise unary operations"}, {"refs": [{"id": "ref-for-mloperand\u2460\u2461\u2466"}, {"id": "ref-for-mloperand\u2460\u2461\u2467"}], "title": "7.6.12. The elu() method"}, {"refs": [{"id": "ref-for-mloperand\u2460\u2461\u2468"}, {"id": "ref-for-mloperand\u2460\u2462\u24ea"}], "title": "7.6.12.1. The elu(input, options) method"}, {"refs": [{"id": "ref-for-mloperand\u2460\u2462\u2460"}, {"id": "ref-for-mloperand\u2460\u2462\u2461"}, {"id": "ref-for-mloperand\u2460\u2462\u2462"}, {"id": "ref-for-mloperand\u2460\u2462\u2463"}, {"id": "ref-for-mloperand\u2460\u2462\u2464"}, {"id": "ref-for-mloperand\u2460\u2462\u2465"}, {"id": "ref-for-mloperand\u2460\u2462\u2466"}, {"id": "ref-for-mloperand\u2460\u2462\u2467"}, {"id": "ref-for-mloperand\u2460\u2462\u2468"}, {"id": "ref-for-mloperand\u2460\u2463\u24ea"}], "title": "7.6.13. The gemm() method"}, {"refs": [{"id": "ref-for-mloperand\u2460\u2463\u2460"}, {"id": "ref-for-mloperand\u2460\u2463\u2461"}, {"id": "ref-for-mloperand\u2460\u2463\u2462"}, {"id": "ref-for-mloperand\u2460\u2463\u2463"}, {"id": "ref-for-mloperand\u2460\u2463\u2464"}, {"id": "ref-for-mloperand\u2460\u2463\u2465"}, {"id": "ref-for-mloperand\u2460\u2463\u2466"}, {"id": "ref-for-mloperand\u2460\u2463\u2467"}, {"id": "ref-for-mloperand\u2460\u2463\u2468"}, {"id": "ref-for-mloperand\u2460\u2464\u24ea"}, {"id": "ref-for-mloperand\u2460\u2464\u2460"}, {"id": "ref-for-mloperand\u2460\u2464\u2461"}, {"id": "ref-for-mloperand\u2460\u2464\u2462"}, {"id": "ref-for-mloperand\u2460\u2464\u2463"}, {"id": "ref-for-mloperand\u2460\u2464\u2464"}, {"id": "ref-for-mloperand\u2460\u2464\u2465"}, {"id": "ref-for-mloperand\u2460\u2464\u2466"}, {"id": "ref-for-mloperand\u2460\u2464\u2467"}, {"id": "ref-for-mloperand\u2460\u2464\u2468"}, {"id": "ref-for-mloperand\u2460\u2465\u24ea"}, {"id": "ref-for-mloperand\u2460\u2465\u2460"}, {"id": "ref-for-mloperand\u2460\u2465\u2461"}], "title": "7.6.14. The gru() method"}, {"refs": [{"id": "ref-for-mloperand\u2460\u2465\u2462"}, {"id": "ref-for-mloperand\u2460\u2465\u2463"}, {"id": "ref-for-mloperand\u2460\u2465\u2464"}, {"id": "ref-for-mloperand\u2460\u2465\u2465"}, {"id": "ref-for-mloperand\u2460\u2465\u2466"}, {"id": "ref-for-mloperand\u2460\u2465\u2467"}, {"id": "ref-for-mloperand\u2460\u2465\u2468"}, {"id": "ref-for-mloperand\u2460\u2466\u24ea"}, {"id": "ref-for-mloperand\u2460\u2466\u2460"}, {"id": "ref-for-mloperand\u2460\u2466\u2461"}, {"id": "ref-for-mloperand\u2460\u2466\u2462"}, {"id": "ref-for-mloperand\u2460\u2466\u2463"}, {"id": "ref-for-mloperand\u2460\u2466\u2464"}, {"id": "ref-for-mloperand\u2460\u2466\u2465"}, {"id": "ref-for-mloperand\u2460\u2466\u2466"}, {"id": "ref-for-mloperand\u2460\u2466\u2467"}, {"id": "ref-for-mloperand\u2460\u2466\u2468"}, {"id": "ref-for-mloperand\u2460\u2467\u24ea"}, {"id": "ref-for-mloperand\u2460\u2467\u2460"}], "title": "7.6.15. The gruCell() method"}, {"refs": [{"id": "ref-for-mloperand\u2460\u2467\u2461"}, {"id": "ref-for-mloperand\u2460\u2467\u2462"}], "title": "7.6.16. The hardSigmoid() method"}, {"refs": [{"id": "ref-for-mloperand\u2460\u2467\u2463"}, {"id": "ref-for-mloperand\u2460\u2467\u2464"}, {"id": "ref-for-mloperand\u2460\u2467\u2465"}], "title": "7.6.16.1. The hardSigmoid(input, options) method"}, {"refs": [{"id": "ref-for-mloperand\u2460\u2467\u2466"}, {"id": "ref-for-mloperand\u2460\u2467\u2467"}], "title": "7.6.17. The hardSwish() method"}, {"refs": [{"id": "ref-for-mloperand\u2460\u2467\u2468"}, {"id": "ref-for-mloperand\u2460\u2468\u24ea"}], "title": "7.6.17.1. The hardSwish(input) method"}, {"refs": [{"id": "ref-for-mloperand\u2460\u2468\u2460"}, {"id": "ref-for-mloperand\u2460\u2468\u2461"}, {"id": "ref-for-mloperand\u2460\u2468\u2462"}, {"id": "ref-for-mloperand\u2460\u2468\u2463"}, {"id": "ref-for-mloperand\u2460\u2468\u2464"}, {"id": "ref-for-mloperand\u2460\u2468\u2465"}, {"id": "ref-for-mloperand\u2460\u2468\u2466"}, {"id": "ref-for-mloperand\u2460\u2468\u2467"}, {"id": "ref-for-mloperand\u2460\u2468\u2468"}, {"id": "ref-for-mloperand\u2461\u24ea\u24ea"}, {"id": "ref-for-mloperand\u2461\u24ea\u2460"}, {"id": "ref-for-mloperand\u2461\u24ea\u2461"}, {"id": "ref-for-mloperand\u2461\u24ea\u2462"}], "title": "7.6.18. The instanceNormalization() method"}, {"refs": [{"id": "ref-for-mloperand\u2461\u24ea\u2463"}, {"id": "ref-for-mloperand\u2461\u24ea\u2464"}], "title": "7.6.19. The leakyRelu() method"}, {"refs": [{"id": "ref-for-mloperand\u2461\u24ea\u2465"}, {"id": "ref-for-mloperand\u2461\u24ea\u2466"}], "title": "7.6.19.1. The leakyRelu(input, options) method"}, {"refs": [{"id": "ref-for-mloperand\u2461\u24ea\u2467"}, {"id": "ref-for-mloperand\u2461\u24ea\u2468"}], "title": "7.6.20. The linear() method"}, {"refs": [{"id": "ref-for-mloperand\u2461\u2460\u24ea"}, {"id": "ref-for-mloperand\u2461\u2460\u2460"}], "title": "7.6.20.1. The linear(input, options) method"}, {"refs": [{"id": "ref-for-mloperand\u2461\u2460\u2461"}, {"id": "ref-for-mloperand\u2461\u2460\u2462"}, {"id": "ref-for-mloperand\u2461\u2460\u2463"}, {"id": "ref-for-mloperand\u2461\u2460\u2464"}, {"id": "ref-for-mloperand\u2461\u2460\u2465"}, {"id": "ref-for-mloperand\u2461\u2460\u2466"}, {"id": "ref-for-mloperand\u2461\u2460\u2467"}, {"id": "ref-for-mloperand\u2461\u2460\u2468"}, {"id": "ref-for-mloperand\u2461\u2461\u24ea"}, {"id": "ref-for-mloperand\u2461\u2461\u2460"}, {"id": "ref-for-mloperand\u2461\u2461\u2461"}, {"id": "ref-for-mloperand\u2461\u2461\u2462"}, {"id": "ref-for-mloperand\u2461\u2461\u2463"}, {"id": "ref-for-mloperand\u2461\u2461\u2464"}, {"id": "ref-for-mloperand\u2461\u2461\u2465"}, {"id": "ref-for-mloperand\u2461\u2461\u2466"}, {"id": "ref-for-mloperand\u2461\u2461\u2467"}, {"id": "ref-for-mloperand\u2461\u2461\u2468"}, {"id": "ref-for-mloperand\u2461\u2462\u24ea"}, {"id": "ref-for-mloperand\u2461\u2462\u2460"}, {"id": "ref-for-mloperand\u2461\u2462\u2461"}, {"id": "ref-for-mloperand\u2461\u2462\u2462"}, {"id": "ref-for-mloperand\u2461\u2462\u2463"}, {"id": "ref-for-mloperand\u2461\u2462\u2464"}, {"id": "ref-for-mloperand\u2461\u2462\u2465"}, {"id": "ref-for-mloperand\u2461\u2462\u2466"}, {"id": "ref-for-mloperand\u2461\u2462\u2467"}, {"id": "ref-for-mloperand\u2461\u2462\u2468"}, {"id": "ref-for-mloperand\u2461\u2463\u24ea"}], "title": "7.6.21. The lstm() method"}, {"refs": [{"id": "ref-for-mloperand\u2461\u2463\u2460"}, {"id": "ref-for-mloperand\u2461\u2463\u2461"}, {"id": "ref-for-mloperand\u2461\u2463\u2462"}, {"id": "ref-for-mloperand\u2461\u2463\u2463"}, {"id": "ref-for-mloperand\u2461\u2463\u2464"}, {"id": "ref-for-mloperand\u2461\u2463\u2465"}, {"id": "ref-for-mloperand\u2461\u2463\u2466"}, {"id": "ref-for-mloperand\u2461\u2463\u2467"}, {"id": "ref-for-mloperand\u2461\u2463\u2468"}, {"id": "ref-for-mloperand\u2461\u2464\u24ea"}, {"id": "ref-for-mloperand\u2461\u2464\u2460"}, {"id": "ref-for-mloperand\u2461\u2464\u2461"}, {"id": "ref-for-mloperand\u2461\u2464\u2462"}, {"id": "ref-for-mloperand\u2461\u2464\u2463"}, {"id": "ref-for-mloperand\u2461\u2464\u2464"}, {"id": "ref-for-mloperand\u2461\u2464\u2465"}, {"id": "ref-for-mloperand\u2461\u2464\u2466"}, {"id": "ref-for-mloperand\u2461\u2464\u2467"}, {"id": "ref-for-mloperand\u2461\u2464\u2468"}, {"id": "ref-for-mloperand\u2461\u2465\u24ea"}, {"id": "ref-for-mloperand\u2461\u2465\u2460"}, {"id": "ref-for-mloperand\u2461\u2465\u2461"}, {"id": "ref-for-mloperand\u2461\u2465\u2462"}, {"id": "ref-for-mloperand\u2461\u2465\u2463"}, {"id": "ref-for-mloperand\u2461\u2465\u2464"}], "title": "7.6.22. The lstmCell() method"}, {"refs": [{"id": "ref-for-mloperand\u2461\u2465\u2465"}, {"id": "ref-for-mloperand\u2461\u2465\u2466"}, {"id": "ref-for-mloperand\u2461\u2465\u2467"}, {"id": "ref-for-mloperand\u2461\u2465\u2468"}, {"id": "ref-for-mloperand\u2461\u2466\u24ea"}, {"id": "ref-for-mloperand\u2461\u2466\u2460"}, {"id": "ref-for-mloperand\u2461\u2466\u2461"}], "title": "7.6.23. The matmul() method"}, {"refs": [{"id": "ref-for-mloperand\u2461\u2466\u2462"}, {"id": "ref-for-mloperand\u2461\u2466\u2463"}, {"id": "ref-for-mloperand\u2461\u2466\u2464"}, {"id": "ref-for-mloperand\u2461\u2466\u2465"}, {"id": "ref-for-mloperand\u2461\u2466\u2466"}], "title": "7.6.24. The pad() method"}, {"refs": [{"id": "ref-for-mloperand\u2461\u2466\u2467"}, {"id": "ref-for-mloperand\u2461\u2466\u2468"}, {"id": "ref-for-mloperand\u2461\u2467\u24ea"}, {"id": "ref-for-mloperand\u2461\u2467\u2460"}, {"id": "ref-for-mloperand\u2461\u2467\u2461"}, {"id": "ref-for-mloperand\u2461\u2467\u2462"}, {"id": "ref-for-mloperand\u2461\u2467\u2463"}, {"id": "ref-for-mloperand\u2461\u2467\u2464"}, {"id": "ref-for-mloperand\u2461\u2467\u2465"}], "title": "7.6.25. Pooling operations"}, {"refs": [{"id": "ref-for-mloperand\u2461\u2467\u2466"}, {"id": "ref-for-mloperand\u2461\u2467\u2467"}, {"id": "ref-for-mloperand\u2461\u2467\u2468"}, {"id": "ref-for-mloperand\u2461\u2468\u24ea"}, {"id": "ref-for-mloperand\u2461\u2468\u2460"}, {"id": "ref-for-mloperand\u2461\u2468\u2461"}, {"id": "ref-for-mloperand\u2461\u2468\u2462"}], "title": "7.6.26. The prelu() method"}, {"refs": [{"id": "ref-for-mloperand\u2461\u2468\u2463"}, {"id": "ref-for-mloperand\u2461\u2468\u2464"}, {"id": "ref-for-mloperand\u2461\u2468\u2465"}, {"id": "ref-for-mloperand\u2461\u2468\u2466"}, {"id": "ref-for-mloperand\u2461\u2468\u2467"}, {"id": "ref-for-mloperand\u2461\u2468\u2468"}, {"id": "ref-for-mloperand\u2462\u24ea\u24ea"}, {"id": "ref-for-mloperand\u2462\u24ea\u2460"}, {"id": "ref-for-mloperand\u2462\u24ea\u2461"}, {"id": "ref-for-mloperand\u2462\u24ea\u2462"}, {"id": "ref-for-mloperand\u2462\u24ea\u2463"}, {"id": "ref-for-mloperand\u2462\u24ea\u2464"}, {"id": "ref-for-mloperand\u2462\u24ea\u2465"}, {"id": "ref-for-mloperand\u2462\u24ea\u2466"}, {"id": "ref-for-mloperand\u2462\u24ea\u2467"}, {"id": "ref-for-mloperand\u2462\u24ea\u2468"}, {"id": "ref-for-mloperand\u2462\u2460\u24ea"}, {"id": "ref-for-mloperand\u2462\u2460\u2460"}, {"id": "ref-for-mloperand\u2462\u2460\u2461"}, {"id": "ref-for-mloperand\u2462\u2460\u2462"}, {"id": "ref-for-mloperand\u2462\u2460\u2463"}, {"id": "ref-for-mloperand\u2462\u2460\u2464"}, {"id": "ref-for-mloperand\u2462\u2460\u2465"}], "title": "7.6.27. Reduction operations"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2460\u2466"}, {"id": "ref-for-mloperand\u2462\u2460\u2467"}], "title": "7.6.28. The relu() method"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2460\u2468"}, {"id": "ref-for-mloperand\u2462\u2461\u24ea"}, {"id": "ref-for-mloperand\u2462\u2461\u2460"}], "title": "7.6.28.1. The relu(input) method"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2461\u2461"}, {"id": "ref-for-mloperand\u2462\u2461\u2462"}, {"id": "ref-for-mloperand\u2462\u2461\u2463"}, {"id": "ref-for-mloperand\u2462\u2461\u2464"}], "title": "7.6.29. The resample2d() method"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2461\u2465"}, {"id": "ref-for-mloperand\u2462\u2461\u2466"}, {"id": "ref-for-mloperand\u2462\u2461\u2467"}, {"id": "ref-for-mloperand\u2462\u2461\u2468"}, {"id": "ref-for-mloperand\u2462\u2462\u24ea"}], "title": "7.6.30. The reshape() method"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2462\u2460"}, {"id": "ref-for-mloperand\u2462\u2462\u2461"}], "title": "7.6.31. The sigmoid() method"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2462\u2462"}, {"id": "ref-for-mloperand\u2462\u2462\u2463"}, {"id": "ref-for-mloperand\u2462\u2462\u2464"}], "title": "7.6.31.1. The sigmoid(input) method"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2462\u2465"}, {"id": "ref-for-mloperand\u2462\u2462\u2466"}, {"id": "ref-for-mloperand\u2462\u2462\u2467"}, {"id": "ref-for-mloperand\u2462\u2462\u2468"}, {"id": "ref-for-mloperand\u2462\u2463\u24ea"}], "title": "7.6.32. The slice() method"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2463\u2460"}, {"id": "ref-for-mloperand\u2462\u2463\u2461"}], "title": "7.6.33. The softmax() method"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2463\u2462"}, {"id": "ref-for-mloperand\u2462\u2463\u2463"}, {"id": "ref-for-mloperand\u2462\u2463\u2464"}], "title": "7.6.33.1. The softmax(input) method"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2463\u2465"}, {"id": "ref-for-mloperand\u2462\u2463\u2466"}], "title": "7.6.34. The softplus() method"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2463\u2467"}, {"id": "ref-for-mloperand\u2462\u2463\u2468"}], "title": "7.6.34.1. The softplus(input, options) method"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2464\u24ea"}, {"id": "ref-for-mloperand\u2462\u2464\u2460"}], "title": "7.6.35. The softsign() method"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2464\u2461"}, {"id": "ref-for-mloperand\u2462\u2464\u2462"}, {"id": "ref-for-mloperand\u2462\u2464\u2463"}], "title": "7.6.35.1. The softsign(input) method"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2464\u2464"}, {"id": "ref-for-mloperand\u2462\u2464\u2465"}, {"id": "ref-for-mloperand\u2462\u2464\u2466"}, {"id": "ref-for-mloperand\u2462\u2464\u2467"}, {"id": "ref-for-mloperand\u2462\u2464\u2468"}], "title": "7.6.36. 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