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Commits on Sep 9, 2016

• Merge commit for internal changes

  

  Daniel Mané

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• Allow seq2seq attention decoder to receive dynamic length attention states.

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  tensorflower-gardener

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Commits on Sep 1, 2016

• seq2seq.py: Fixed the documentation to be consistent with the code (#3802)

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  sahiliitm

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  Vijay Vasudevan

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Commits on Aug 16, 2016

• Recent code change added some lines that inadvertently passed scopes in seq2seq,

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  Lukasz Kaiser

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  tensorflower-gardener

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Commits on Aug 10, 2016

• Added support for fp16 to the seq2seq primitives

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  benoitsteiner

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  tensorflower-gardener

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Commits on Aug 9, 2016

• Deprecate op_scope by extending name_scope and move all callers to the new name_scope.

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  Lukasz Kaiser

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  tensorflower-gardener

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Commits on Aug 4, 2016

• Make attention_decoder in seq2seq work with state_is_tuple=True. (Fix #3056.)

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  Lukasz Kaiser

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  tensorflower-gardener

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Commits on Jul 2, 2016

• Make the seq2seq module work well with RNNCells with tuple-like states. (#3056)

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  Lukasz Kaiser

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  tensorflower-gardener

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Commits on Jun 4, 2016

• Change embedding_tied_rnn_seq2seq function to provide an option of only predicting from specified decoding symbols (as opposed to predicting from all symbols) during the decoding phase.

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  A. Unique TensorFlower

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  tensorflower-gardener

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Commits on Jun 2, 2016

• Update copyright for 3p/tf/python.

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  A. Unique TensorFlower

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  tensorflower-gardener

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Commits on May 26, 2016

• Merge changes from github.

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  Vijay Vasudevan

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  tensorflower-gardener

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Commits on May 11, 2016

• rnn_cell.linear and models.rnn are going away.

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  ebrevdo

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  tensorflower-gardener

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Commits on Apr 19, 2016

• Merge changes from github.

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  ilblackdragon

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Commits on Apr 13, 2016

• Remove RNNCell's input_size property.

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  ebrevdo

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  tensorflower-gardener

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Commits on Mar 30, 2016

• Make embedding_size an explicit argument of embedding_* functions in seq2seq.

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  lukaszkaiser

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  tensorflower-gardener

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Commits on Mar 18, 2016

• Make EmbeddingWrapper accept an explicit embedding_size argument so it does not rely on cell.input_size.

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  lukaszkaiser

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  tensorflower-gardener

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Commits on Mar 11, 2016

• Fix dependencies bugs

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  ebrevdo

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  tensorflower-gardener

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Commits on Mar 10, 2016

• Make sparse_softmax_cross_entropy_with_logits handle int32 labels

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  girving

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  tensorflower-gardener

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Commits on Feb 17, 2016

• Merge changes from github.

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  Vijay Vasudevan

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  tensorflower-gardener

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Commits on Feb 11, 2016

• Add an optional argument to model_with_buckets to get per-example loss and

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  lukaszkaiser

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  tensorflower-gardener

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Commits on Feb 10, 2016

• Add one-to-many multi-task sequence-to-sequence model.

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  A. Unique TensorFlower

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  tensorflower-gardener

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Commits on Feb 5, 2016

• Use sparse_softmax_cross_entropy_with_logits in seq2seq in sequence_losses.

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  lukaszkaiser

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  keveman

  committed
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Commits on Feb 4, 2016

• Improving seq2seq code style and documentation.

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  lukaszkaiser

  authored and

  Vijay Vasudevan

  committed
  6607d30

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Commits on Jan 28, 2016

• Breaking change in TF RNN python api: Return the final state instead of the

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  ebrevdo

  authored and

  Vijay Vasudevan

  committed
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Commits on Jan 16, 2016

• Added an option to the attention decoder to initialize the attention

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  A. Unique TensorFlower

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  keveman

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Commits on Jan 7, 2016

• some linting fixes to changes brought in from the public.

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  Vijay Vasudevan

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Commits on Dec 18, 2015

• Prevent seq2seq.model_with_buckets from leaking variable scope reuse.

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  lukaszkaiser

  authored and

  Vijay Vasudevan

  committed
  69b38d3

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Commits on Dec 2, 2015

• TensorFlow: Upstream changes to git.

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  Vijay Vasudevan

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Commits on Dec 1, 2015

• TensorFlow: upstream changes to git

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  Vijay Vasudevan

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  795f35d

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