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Commits on Nov 11, 2017

• Hlo parser: support metadata.

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• Internal Change

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• Internal Change

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• Create documentation for retrain.py to describe addition of fixed point layer.

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• Change HloSharding to allow getting a ShapeTree for non-tuple types.

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• Internal Change

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• Removed StringPiece::set and StringPiece::clear, as they have no absl::string_view equivalents.

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• Remove the backward incompatible shape checks.

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• ...comment format only change...

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• Skip generating input / output properties for _Send and _Recv ops if those ops

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• Adds properties to LossFunction to access inputs separated by minibatch.

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• Add suffix to newly created Mul op in the optimizer to avoid the name collision

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• [TF:XLA] Add helper to append buffers to ShapedBuffer.

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• n/a (internal change only)

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• [XLA] Make TuplePointsToAnalysis and LogicalBufferAnalysis track nested fusion instructions.

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• Extend the Array class with more functionality.

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• Correct comment in K-FAC's layer_collection

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• Hlo parser: support padding.

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• Support more instructions in Hlo parser: Broadcast, Concatenate, Map, Reduce, SelectAndScatter, Reverse, Slice, DynamicSlice, DynamicUpdateSlice, Transpose, BatchNormTraining, BatchNormInference, B…

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• Always push updated nodes to the queue for possible further optimization.

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• Added some additional documentation to the swish() function

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• [TF:XLA] Clean up unused XLA options and functions.

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• Adds streaming_dynamic_auc to Tensorflow contrib metrics. This metric differs from streaming_auc because it uses every prediction as a threshold rather than linearly spaced fixed thresholds.

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• Expose padded_batch_and_drop_remainder

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• Fix bug reported in b/69059093, by skipping rewrites that we can determine have already been applied.

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• Fix GANEstimator docstring.

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• Modify quantization to support add ops that occur after all quantizable types, not just Conv2D.

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• Add per-host input for multi-host setup.

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• Allow a key type without a constructor that takes an int in Squawd.

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• Supports multi-dimensional logits and labels in multi_label head and some cleanup.

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• Previously we had a large number of ComputeAndCompare* methods to run a

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• When sharding a tuple, we typically want to describe the data sharding

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• Remove extra copy of literal in client TransferToOutfeed

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• Changed gradient of GatherNd to use IndexedSlices when possible rather than producing a dense output.

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• Update ops-related pbtxt files.

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