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Commits on Apr 18, 2019

• Merge pull request #27699 from yongtang:27497-ragged-axis

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• Add PReLU support to the NN API delegate

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• Add support for composite tensor metadata.

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• Improve performance of HloValue::SetPositionsAndComputeUses

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• compat: Update forward compatibility horizon to 2019-04-18

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• Add C++ Gradient for BatchMatMulV2.

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• Fix typos.

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• Add versioning to Mean.

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• Make tf.saved_model.load work with explicit device placement.

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  tomhennigan

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• Google internal metrics collection.

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• Make backend print utility v2-ready.

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• Remove GPU pip package's explicit dependencies on CUDA runtime.

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• Make physical device initialization thread-safe

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• Fix test failures.

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  Yuefeng Zhou

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• Remove confusing unused output_gen field.

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  Suharsh Sivakumar

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• Automated rollback of commit 93ce8af6f9c97f766b4dcdd919a30805885d61e3

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• Skip the failing test in mirrored_strategy_test in guitar.

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• Change a few places BatchMatMul -> BatchMatMulV2.

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• Register int32 GPU kernel for BroadcastTo that runs on the host.

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• Enable ExportSavedModel V2 Support for TPUEstimator.

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• Add option to disable spinning while waiting for work in TF threadpool.

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• Automated rollback of commit d208ae26ed00b260ffefa8100437242260278ae8

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• Add benchmark for QR decomposition in TensorFlow.

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• Support captured Datasets in tf.functions exported using tf.saved_model.save

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• Merge pull request #27772 from Intel-tensorflow:guizili/addn

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• Temporarily disable failing contrib tests.

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• Add more tf.contrib.summary migrations to tf_upgrade_v2

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• Automated rollback of commit 2c7b3e5e24af711738d2c9bc912b8de5cda55d8d

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• Change TensorListLength op to return fixed size of TensorList.

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• Populate arg_attr field in FunctionDef during graph <-> FunctionDef conversion.

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• Disable in-graph multi-worker path in MirroredStrategy unless an in-graph multi-worker cross_device_ops is specified.

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  Yuefeng Zhou

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• Properly handle output of while loop in scoped allocator optimizer.

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• [XLA] Use variadic reduce for argmin/argmax implementation to avoid issues with

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• [XLA] HLO replication analysis: finds whether each HLO instruction outputs the same result across replicas at each shape index.

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• Upgrade XLA timers to also display cumulative and maximum time across *all* invocations.

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