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Commits on Jan 11, 2019

• Copy remote tensors to be local in ResolveTensor if they are Remote.

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• Switch callers from deprecated tf.distribute.Strategy.colocate_vars_with()

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• replace keras.optimizers with keras v2 optimizer in 1.0.

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  tanzhenyu

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• [tf.data] Adding a benchmark for parallel interleave and using it to improve the performance of the v2 implementation.

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  jsimsa

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• Fix typos in deprecation messages for convolutional layers for TF 2.0 API.

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  mihaimaruseac

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• Lifted *_slice_info methods to Variable

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  superbobry

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• Add bitwise ops to ragged_dispatch

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• Remove unnecessary dependency on :pooling_ops from NN_DEPS (used by :bias_op

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• Corrected ResourceVariable constructor documentation wrt validate_shape

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  superbobry

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• Support S16 and U16 in the HLO evaluator

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  akuegel

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• Added nested structure reconstruction on output.

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  vbardiovskyg

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• [Go]: Allow code in the "master" branch to work against the latest C library

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  asimshankar

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• Update ConvLSTMCell to accept shape as list or tuple

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• Add default comparators which can be used for sorting.

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  akuegel

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• Added simple nested structure serialization on input.

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• compat: Update forward compatibility horizon to 2019-01-11

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• Update Eigen to commit ad3bcd81cc49.

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• Automated rollback of commit 68e869eb40ff0acd03515336bf31eecbabf97adc

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  smit-hinsu

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• Split off SeparableConv and ConvTranspose tests and parameterize many test so they can be properly sharded.

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• Fix typo.

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  penpornk

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• Reenable test cases that are broken by TRT 4.0 since TF is now built against

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  aaroey

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• Simplify PrepareForConvolution:

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  timshen91

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• Add logging of samples/steps count in each line in verbose=2 mode for fit method.

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  fchollet

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• Put all calibration resources into resource manager. This fixes a race condition

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  aaroey

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• Make `steps_per_epoch`, `steps`, `validation_steps` optional for non-infinite datasets.

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  fchollet

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• Go: Update generated wrapper functions for TensorFlow ops.

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• Update ops-related pbtxt files.

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• Automated rollback of commit 55fda7fb66f1774ac5271e523259faa7d2a44d0c

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  dlibenzi

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• Move clustering ops to core.

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  tanzhenyu

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• Centralize the logic that infers accumulator type from element type.

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  timshen91

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• Minor refactor of _WhileBodyGradFuncGraph._capture_helper.

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  skye

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• Move Keras saving and loading functions into keras/saving/, and resolve circular dependencies with the SavedModel code.

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  k-w-w

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• Add registration for (A^-1)^-1 = A.

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• Enable a soft ordering for collectives which adds dependencies as node attrs.

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  dubey

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• Make nccl work in eager mode: wrap nccl ops in a defun; remove control dependencies on NcclAllReduce

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  Yuefeng Zhou

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