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Commits on Aug 6, 2018

• Raise an error when using stateful metrics with DistributionStrategy.

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  Anjali Sridhar

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• [TF] Extend the Softmax kernels so they accept shapes with rank >= 1, rather than relying on the caller to reshape to rank 2.

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  hawkinsp

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• This removes the output & mask caching done by graph networks in graph mode.

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  fchollet

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Commits on Aug 3, 2018

• Mark `models_test` as medium-sized.

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  akshayka

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• Update loss and metric function weighting logic in keras.

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  pavithrasv

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Commits on Aug 2, 2018

• Added support to use user defined build inside call.

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  raymond-yuan

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• Do not panic on type annotations in python3 for layers / functions passed to TF.

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  alextp

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• Add to our current warning message when we run out of data in the given

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  Anjali Sridhar

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• Add a warning for Model.save_weights in TensorFlow format with a Keras optimizer

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  allenlavoie

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Commits on Aug 1, 2018

• Enable masking support for eager execution.

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  fchollet

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• When model.build() is called on tf.TensorShape((None, None, None, 1)), the code replaces the None values with 1 and the model is then built with the shape of (1, 1, 1, 1). This sets the variables o…

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• Remove deprecated Recurrent class from RNN.

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  qlzh727

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• Add support for DistributionStrategy in tf.keras.

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  Anjali Sridhar

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• fixes issue in stateful metrics, where they are getting batch averaged

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  raymond-yuan

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• Add support for sample_weight_mode in eager execution.

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  pavithrasv

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Commits on Jul 30, 2018

• Initialize self.captures in CapturingGraph.

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  skye

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• Internal change.

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  annarev

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• De-dup few eager mode tests, remove some unused functions and params.

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  pavithrasv

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• BEGIN_PUBLIC

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Commits on Jul 28, 2018

• De-dup and clean get metric name and function code between graph and eager mode

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  pavithrasv

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Commits on Jul 27, 2018

• Automated rollback of commit d4cb01f242dc3ff0f7b0aae7284def46281755f2

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• Layers/Networks now have a default implementation for static shape inference in eager execution (when possible).

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  fchollet

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• Simulate eager variable resoration in tf.keras.Model.load_weights when graph building

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  allenlavoie

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Commits on Jul 26, 2018

• Fix: When sample_weight_mode is a list/dict set default sample_weight values so that we do not require sample_weight to be set during training/eval

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  pavithrasv

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• Keras Tensorboard Callback - enable metrics logging in Eager mode

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Commits on Jul 25, 2018

• Internal change.

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• Added support for build on subclass models

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  raymond-yuan

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• Keras ReLU Consolidation

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Commits on Jul 24, 2018

• use parameterized test in rmsprop

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  tanzhenyu

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• Add binary accuracy metric class.

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  pavithrasv

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• Fix error when symbolic tensors are passed as input to Sequential model (when no input shape is specified.)

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  pavithrasv

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Commits on Jul 23, 2018

• Default .inputs .outputs of Network should be [] otherwise uses_learning_phase fails.

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  sguada

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Commits on Jul 20, 2018

• Update Keras TensorBoard callback to log metrics at the batch-level

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Commits on Jul 18, 2018

• Fix warning message when output not in loss dictionary. Output may be used just in summary so this message can be misleading.

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  pavithrasv

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• Create new metrics class and add mean metric.

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  pavithrasv

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