Skip to content

0.11.1
Compare
Choose a tag to compare
@nsthorat nsthorat released this 18 May 19:16
· 6047 commits to master since this release
v0.11.1
d39f6b6
This commit was created on GitHub.com and signed with GitHub’s verified signature. The key has expired.
GPG key ID: 4AEE18F83AFDEB23
Expired
Learn about vigilant mode.
  • Add capability to save and load tf.Models using the following mediums:
    • browser Local Storage
    • browser IndexedDB
    • browser file downloads and uploads
    • HTTP requests
      See Tutorial Page for more details. (#181).

Core (0.8.3 ==> 0.11.0)

Features

  • Add tf.unstack (#1018). Thanks, @Lewuathe.
  • Add tf.losses.logLoss (#1021). Thanks, @manrajgrover.
  • Add tf.losses.hingeLoss (#1008). Thanks, @manrajgrover.
  • Gradient for tf.gather (#981). Thanks, @jgartman.
  • Add resizeBilinear gradient implementation. (#996).
  • Add tf.losses.cosineDistance (#1005). Thanks, @manrajgrover.
  • Add tf.losses.meanSquaredError (#991). Thanks, @manrajgrover.
  • Add tf.disposeVariables which disposes all registered variables. (#988). Thanks, @Lewuathe.
  • Add tensor.round() (chaining was missing for round) (#994). Thanks, @manrajgrover.
  • Add support for loading quantized weights (#965).
  • Add tf.linalg.gramSchmidt and tf.eye (#1024).
  • Add tf.io.browserHTTPRequest (#1030).
  • Add tf.io.browserDownloads() and tf.io.browserFiles() (#1012).
  • Add IOHandler subtype BrowserLocalStorage. (#1003).
  • Add tf.cumsum (#1032).
  • Add tf.io.browserIndexedDB (#1017).
  • Add support for StridedSlice (#1026).
  • Add model store managers (#1038).

Breaking changes

  • The symbol "tfc" becomes "tf" for ES5 tf-core.js bundle users. [Convert core to use rollup for bundling.] (#1037).
  • Export GPGPUContext and add getCanvas() to the WebGLBackend. (#982).

Bug fixes

  • Fix bug: transpose(scalar|1d) should return a clone. (#1033).
  • Remove explicit dispose in tf.grad to fix second-order gradient (#1013). Thanks, @Lewuathe.
  • Clean up tensor leak in tf.toPixels() (#1031).
  • Fix the import/export of gpgpu_util. (#1009). Thanks, @Nicola17.
  • Fix a bug with backendCPU.conv2dDerInput (#1014).
  • Fix tensor2d/3d/4d to require shape to have the correct length (#1004).
  • Checks if window location is not undefined (#1002). Thanks, @manrajgrover.
  • Default behavior changed with newest NVidia Drivers in Mac OS >=10.13.4 so we have to check for NaN explicitly. [Fix nan propagation in tf.relu] ([#1001]
  • Improve the WebGL random number generator (#993). Thanks, @Nicola17.
  • Fix build issue where module-import code gets dropped from the bundle (#987).
    (tensorflow/tfjs-core#1001)).
  • Align tf.resizeNearestNeighbor with TF. (#1000). Thanks, @Lewuathe.
  • Return 0 for tf.sign(NaN) to align with TF (#998).

Performance

  • Optimize CPU conv2dDerInput on CPU to be 100x faster (#995). Thanks, @piscisaureus.
  • Quantizing weights reduces model size and improves model download time [Add support for loading quantized weights] (#965).

Development

  • adds template to pull request message [adds pull request template] (#1036).
  • Travis: run tests on Node.js 10 as well (#1039). Thanks, @DanielRuf.
  • Travis: use yarn cache (#1040). Thanks, @DanielRuf.
  • Travis: clone only last 5 commits (#1041). Thanks, @DanielRuf.

Documentation

  • Fix typo in tf.tile documentation. (#1043). Thanks, @sorig.
  • Remove erroneous endpoint parameter from linspace JSDoc (#1020). Thanks, @Lewuathe.
  • Removed duplicate typo in tf.buffer docs (#1023). Thanks, @HarshaLaxman.
  • Fixe bug in oneHot doc example (#1015). Thanks, @manrajgrover.
  • Fix code snippet in docs where indices should be int32 (#989). Thanks, @nbardy.
  • Fix typo in comments of io module. (#1006). Thanks, @Lewuathe.
  • Update a comment in environment.ts reference deeplearn.js. (#1007). Thanks, @jgartman.
  • Add logic operation code snippets in jsdocs (#900). Thanks, @nbardy.
  • Update docstring for tf.setBackend() re disposing the old backend. (#1029).

Misc

  • Export GPGPUContext and add getCanvas() to the WebGLBackend. (#982).
  • Add IS_BROWSER to ENV; add scheme-based URL router to tf.io.* modules (#1034).
  • Add tf.pad test for 4d tensor and test memory (#1025).
  • Exports operation decorator for use in tfjs-layers (#1027).
  • Add serialization infrastructure to core (#997).
  • Add tests for tf.conv1d gradients (#992). Thanks, @easadler.
  • Add basic types and helper methods for model exporting (#990).

Layers (0.5.2 ==> 0.6.1)

Features

  • Add version string (e.g., 'tfjs-layers 0.10.3') to the keras_version field of JSONs from model serialization.(#157).
  • added tf.layers.cropping2D (#155). Thanks, @zaidalyafeai.

Breaking changes

  • "tfl" => "tf" for es5 bundle users. (#191).
  • Remove the exporting of the backend symbols (#193).
  • Model.fit(): Change default epochs to 1 (#156).

Bug fixes

  • Fix axis in Softmax activation layer (#177). Thanks, @janhuenermann.
  • Fix slowness in Orthgonal initializer for some RNN layers. (#172).
  • The padding mode is called 'causal' not 'casual' (#152). Thanks, @piscisaureus.

Development

  • chore: use yarn cache (#187). Thanks, @DanielRuf.
  • chore: add Node.js 10 (#189). Thanks, @DanielRuf.
  • adds default pull request template to help remind contributors to use PR commit message tags. (#180).
  • Add integration_test/tfjs2keras. (#173).

Documentation

  • Add code snippet for tf.layers.reshape. (#198).
  • Clarify that the default value of useBias is true for (#162).
  • Clarify that filters is a required field for non-depthwise (#162).
  • Fixes #165: Document model.fit callbacks (#149). Thanks, @manrajgrover.

Misc

Assets 2
Loading