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Commits on Aug 31, 2019

• Add decorator to run all tests in a class in deprecated graph mode.

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Commits on Aug 30, 2019

• Track trackables in graph networks, and removing automatic tracking of Keras-internal attributes.

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Commits on Aug 28, 2019

• Add SaveOptions object with option to whitelist op namespaces. Added options argument to all functions that save out a SavedModel.

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Commits on Aug 20, 2019

• Add sample weight description to 2.0 docstring of model_to_estimator.

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Commits on Aug 14, 2019

• Track lookup tables created in FeatureColumn, and add FeatureColumn saving/loading test.

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• Fix bug where input signature is added for call functions with kwargs.

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Commits on Aug 9, 2019

• Add specific error for functions capturing Keras learning phase, and fix keras saving tests.

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• Set default training value to False when exporting layer/model calls to SavedModel.

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Commits on Aug 5, 2019

• Add signatures argument to model.save

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• Fix issue preventing BatchNormalization update from being captured by tf.function. In addition, set inputs in the call context (which was causing issues with updates in V1 graph mode)

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Commits on Aug 1, 2019

• Add traces for both training paths if any of the layer's children expects the training arg.

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Commits on Jul 31, 2019

• Automated rollback of commit 37c7abc

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Commits on Jul 16, 2019

• Fix sequential model setattr and layer tracking logic.

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Commits on Jul 12, 2019

• Automated rollback of commit dd8e9cf

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• Additional fixes to Layer call function tracing.

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Commits on Jul 10, 2019

• Fix error with tracing function with extra argument. This appeared when training argument is passed in args instead of kwargs.

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Commits on Jul 9, 2019

• Fix performance regression with convolution layers by lazily creating the convolution op attribute.

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Commits on Jun 28, 2019

• Change compare_shapes to a nested function.

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Commits on Jun 25, 2019

• Resolve output shape issue with conv dilation by moving op creation into layer.call.

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Commits on Jun 21, 2019

• Fix bug with loading nested model with trainable/nontrainable weights.

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Commits on Jun 20, 2019

• Fix config of network with disconnected input layers.

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Commits on Jun 19, 2019

• Move Keras SavedModel code into separate files and directory.

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Commits on Jun 18, 2019

• Fix bug where model/layer losses are added multiple times by saving a new attribute that contains only the object's losses (and not the losses from the sublayers).

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Commits on Jun 17, 2019

• Trace model with defined training value, to avoid the training arg from being set to the Keras placeholder.

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Commits on Jun 13, 2019

• Mark experimental save and load functions as deprecated.

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• Automated rollback of commit 65b507e

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Commits on Jun 12, 2019

• Allow SavedModel serialization to accept None InputSpec values.

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Commits on Jun 11, 2019

• Automated rollback of commit 65b507e

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• Replace training tensor argument with python boolean. Required for TFLite, which does not yet support control flow ops.

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Commits on Jun 5, 2019

• Set SavedModel as default format for model.save in TF2, and compile loaded model.

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Commits on Jun 4, 2019

• Keras models and layers saving and reviving code. Implements go/tf-model-serialization.

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• Allow sample weights to be passed in as a Tuple.

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Commits on Jun 3, 2019

• Support sample_weights in model_to_estimator.

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Commits on May 30, 2019

• Allow sample weights to be defined as a graph tensor during model compile.

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Commits on May 29, 2019

• (CL 2/2) Allow model_to_estimator to save object-based checkpoints.

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