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Commits on Aug 18, 2017

• Fixing merge conflicts

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Commits on Aug 17, 2017

• Adding a head name that will prefix metrics and loss summaries.

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• Adds AUTO_REUSE as a reuse mode to variable scopes. This mode modifies the behavior of get_variable() to create requested variables if they do not exist or return them if they do exist. It is now p…

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  Ali Yahya

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• Fix a typo in the Saver's doc.

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• Moves tensor_id() from tape.py to framework/ops.py; breaks dependency cycle in subsequent CLs.

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  Ali Yahya

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• Make Context handle initialization lazy. Keep a singleton Context instead of a

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• tfdbg: make BaseDebugWrapperSession subtypes work on MonitoredSession

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  caisq

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• ignore_existing should not be mandatory for eager colocate-with

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  alextp

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• TFE: pip cleanup + fix BUILD dependency of benchmarks_test

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• Automated g4 rollback of changelist 165521057

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• Merging 1.3.0 back to master.

  

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• Add GPU implementation of tf.matrix_solve.

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• eager: Tool to measure execution overheads

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  asimshankar

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• Automatically promote int32 boundaries to int64 in tf.train.piecewise_constant

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• BUILD cleanup in tensorflow/python/...

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• Remove context.Context._device_index

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• Allowing functions to run across devices. This change expands the ProcessFunctionLibraryRuntime library to Instantiate and Run functions on different devices. When a FunctionLibraryRuntime encounte…

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Commits on Aug 16, 2017

• Improved sequence_mask error message.

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• Merges eager and graph IndexedSlices.

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  alextp

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• Tests for eager execution of operations.

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  alextp

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• Fix hasattr check in saved_model_cli

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• Support second order gradient for fused batch norm.

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  Yao Zhang

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• Padding queue support for tf.estimator generator input pipeline (#10732)

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  Scitator

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• Allow setting fields in construction in estimator.RunConfig.

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  Jonathan Hseu

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• Removes forced function definition for eager gradients.

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  alextp

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• Initial tests for gradient code.

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  alextp

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• Allow Defun to inherit enclosing XLA compilation scope.

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• Remove incorrect comment related to `logits_input`.

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• Fix parameter naming in docstring and quote it.

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• Add a CheckpointSaverListener subclass which evaluates and exports a model

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• 1. Support profiling nodes in RunMetadata but not in GraphDef.

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• Add decode_jpeg benchmark and set the baseline for further optimizations.

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• Make indices placeholder in sparse_placeholder maintain rank information.

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• 1. Adjust code view pprof image to better visualize backprop.

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• eager: Handle both UTF8 strings and bytes in Python3 correctly.

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