diff --git a/index.bs b/index.bs
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@@ -1343,40 +1343,6 @@ Data truncation will occur when the specified value exceeds the range of the spe
1. Return |operand|.
-#### {{MLGraphBuilder/constant(start, end, step, type)}} #### {#api-mlgraphbuilder-constant-range}
-Create a constant {{MLOperand}} of the specified data type and shape that contains the data as specified by the range.
-
-
-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 {{MLOperandDataType/"int8"}} data type, etc.
-
-
-
- **Arguments:**
- - *start*: a {{float}} scalar. The starting value of the range.
- - *end*: a {{float}} scalar. The ending value of the range.
- - *step*: a {{float}} scalar. The gap value between two data points in the range.
- - *type*: an optional {{MLOperandDataType}}. If not specified, it is assumed to be {{MLOperandDataType/"float32"}}.
- **Returns:** an {{MLOperand}}. The constant 1-D output tensor of size `max(0, ceil((end - start)/step))`.
-
-
-
-
- The constant(|start|, |end|, |step|, |type|) method steps are:
-
- 1. Let |descriptor| be a new {{MLOperandDescriptor}}.
- 1. Set |descriptor|.{{MLOperandDescriptor/dataType}} to |type|.
- 1. Let |size| be max(0, ceil((|end| - |start|)/|step|)).
- 1. If |size| is not a [=valid dimension=], then [=exception/throw=] a {{TypeError}}.
- 1. Set |descriptor|.{{MLOperandDescriptor/dimensions}} to the [=/list=] « |size| ».
- 1. *Make graph connections:*
- 1. Let |operand| be the result of [=creating an MLOperand=] given [=this=] and |descriptor|.
- 1. Let |buffer| be an [=implementation-defined=] platform memory buffer the size of |size| multiplied by sizeof(|descriptor|.{{MLOperandDescriptor/dataType}}).
- 1. [=list/For each=] |index| in [=the range=] 0 to |size|, exclusive:
- 1. Set |buffer|[|index|] to |start| + (|index| * |step|).
- 1. Add |operand| to [=this=]'s [=MLGraphBuilder/graph=]'s [=computational graph/constants=] with |buffer| as value.
- 1. Return |operand|.
-
-
### build method ### {#api-mlgraphbuilder-build}
Build a composed graph up to a given output operand into a computational graph asynchronously.