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Commits on Oct 11, 2017

• Link RNN ops/kernels in contrib/BUILD.

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Commits on Aug 11, 2017

• Allow the next input in ScheduledOutputTrainingHelper to be computed by any callable by removing requirement that it be a Layer.

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• Allow specification of sample_id_shape and sample_id_dtype in seq2seq.BasicDecoder and add a new InferenceHelper.

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• Add softmax temperature to SampleEmbeddingHelper.

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Commits on Jul 25, 2017

• Add multi-head attention capabilities to AttentionWrapper via the specification of multiple AttentionMechanisms.

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  Amit Patankar

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Commits on Jul 20, 2017

• Add multi-head attention capabilities to AttentionWrapper via the specification of multiple AttentionMechanisms.

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Commits on Jul 11, 2017

• Make ScheduledEmbeddingTrainingHelper more readable and consistent with output ScheduledOutputTrainingHelper helper. Also results in minor speedup.

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Commits on Jun 13, 2017

• Add at_end option and reset to LoggingTensorHook.

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Commits on Apr 28, 2017

• Catch TypeError and add improved failure message for hparam parsing.

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Commits on Apr 1, 2017

• Handle stack of TensorArray with empty elements. Previously caused a SIGFPE.

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Commits on Mar 31, 2017

• Fix condition for skipping sampling by treating sample_ids as a boolean array instead of a list of indices.

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Commits on Mar 30, 2017

• Avoid sampling overhead when no sampled inputs are to be used.

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Commits on Mar 14, 2017

• Add auxiliary_inputs support to ScheduledOutputTrainingHelper.

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Commits on Feb 10, 2017

• Return dataset keys in DatasetDataProvider.

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Commits on Feb 9, 2017

• Return dataset keys in DatasetDataProvider

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Commits on Feb 7, 2017

• Fixes a couple of mis-formatted error messages.

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  gunan

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Commits on Feb 6, 2017

• Fixes a couple of mis-formatted error messages.

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Commits on Feb 2, 2017

• Add reader_kwargs to slim dataset.

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