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Commits on Jun 11, 2020

• Fix a bug in lift_to_graph.py.

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• Fix doc error/typo in using TFLite through C++

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• Fix tensorflow::errors:* calls, which use StrCat instead of StrFormat

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• [XLA] Avoid sharding propagation on trivial dims for dot-general convolution

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  Yuanzhong Xu

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• Update XNNPACK dependency

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• [XLA] Turn variadic reduces with a single input and output into normal reduces

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• Adding additional tests that exercise CopyInsertion when a while feeds another while. The structure of the added tests is as follows:

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• Fix config_settings in core/kernels

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• Reorganizing TPU OPS C_API related files.

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• Rename OpFusion pass to FusedKernelMatcher.

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• Bump open source llvm revision to 52cae05e087b3d4fd02849fc37c387c720055ffb

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• Support LEAKY_RELU operator in XNNPACK delegate

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  Maratyszcza

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• Fix FunctionRun's TraceMe and apply the new TraceMe APIs.

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  Jiho Choi

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• Integrate LLVM at https://github.com/llvm/llvm-project/commit/52cae05e087b

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• Merge pull request #40303 from kaixih:test_nhwc_depwise_pr

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• Internal tfstreamz fixes.

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• Add Traceme to tf.constant()

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• Use IntOrUintValue() to read context ids.

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  Jiho Choi

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• Ensure we use the right type in printf regardless of the definition of uint64.

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• Factor out the dummy test delegate from simple_delegate_test and create relevant BUILD rules to show

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• Use Bazel target names aligned with upstream library names

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  GMNGeoffrey

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• Internal change

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• Add a test for api_implements exist but preferred_device not exist.

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  sun51

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• Add tests for automatic outside compilation on TPUs with Keras models.

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• Cleanup: Use std::fill_n and std::copy_n instead of memset and memcpy.

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• Save a map lookup in the eager attribute builder

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• pfor: support vectorizing nested control flow.

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• Use Bazel target names aligned with upstream library names

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• Avoid ContextCompat dependency in TFLite Java demo

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• In `assign_moving_average`, call `update_fn` instead of `strategy.extended.update(var, update_fn)` when in update context.

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• Make CategoryEncoding work with 1D inputs and list inputs.

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• Update TF MLIR ODS for tf.CollectiveBcastRecv, tf.CollectiveBcastSend, tf.CollectiveGather, tf.CollectiveReduce, and tf.TPUReplicatedInput.

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• Make sure compiled metrics are accessible after loading from H5 or SavedModel.

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• [XLA] Support aliasing in HloRunner

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• Use OperandAdaptor via alias inside generated class

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