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Commits on Mar 1, 2019

• Fixes TF2 pip includes.

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• Disable PinToHost optimizer.

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• Automated rollback of commit 1944e73. Revert tensorflow#25302.

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• Delete unused cuda 9 remote platform.

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• compat: Update forward compatibility horizon to 2019-03-01

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• [TF:XLA] Don't remove TF_XLA_FLAGS when enabling autojit in _xla_gpu tests.

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• migrate from deprecated tf.nn.rnn_cell.MultiRNNCell to

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• Save an empty event file when StartTracing is called.

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• Support dynamic bidirectional_sequence_rnn with sequence_length case

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• Update the Eigen usage for CONV2D op in TFLite to improve the float multithreading performance.

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• Fixes a test timing out

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• Update ops-related pbtxt files.

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• Wrapper for new resize operation, that fixes the half pixel bug in previous resize method. Adds new sampling kernels and an anti-aliasing option. Fixes tensorflow#6720.

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• Include a graph rewrite invocation count as part of every node name generated

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• Merge pull request tensorflow#25302 from jackwish:fix/lite/quant-precision/master

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Commits on Feb 28, 2019

• Merge pull request tensorflow#25702 from yongtang:25701-dim_size-int

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• Merge pull request tensorflow#23468 from karllessard:eager-type-attr-inference

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• Merge pull request tensorflow#25926 from siju-samuel:patch-35

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• Gets experimental dataset tests running in tf 2 nightlies by replacing dataset.output_types with the internal legacy method.

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• Automated rollback of commit 4218a23

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• Mark some TPU tests to run in deprecated graph mode

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• Merge pull request tensorflow#25447 from rongjiecomputer:fix_win_build

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• Merge pull request tensorflow#26110 from joyalbin:fix_while

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• Merge pull request tensorflow#26195 from siju-samuel:patch-43

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• Expose clear_attr in the python graph API. Use it to clear hanging nodes with no input/output from being TPU compiled.

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• Merge pull request tensorflow#26109 from joyalbin:fix_maximum_minimum

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• PR tensorflow#26170: Fix typo in nmt_with_attention.ipynb

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• Makes failing tests pass in tf2

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• Merge pull request tensorflow#24261 from b0noI:micro_feedback

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• Include what you use fix.

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• Fix SVD gradient bug on batches of matrices

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• Explicitly passing the number of dimensions for RNN states.

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• Make SVD twice differentiable

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• Remove outdated / unused CPU platform.

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• compat: Update forward compatibility horizon to 2019-02-28

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