tf.contrib.legacy_seq2seq

 

upper level

 

Modules

 

None

 

Classes

 

None

 

Functions

 

attention_decoder(…):

RNN decoder with attention for the sequence-to-sequence model.

basic_rnn_seq2seq(…):

Basic RNN sequence-to-sequence model.

embedding_attention_decoder(…):

RNN decoder with embedding and attention and a pure-decoding option.

embedding_attention_seq2seq(…):

Embedding sequence-to-sequence model with attention.

embedding_rnn_decoder(…):

RNN decoder with embedding and a pure-decoding option.

embedding_rnn_seq2seq(…):

Embedding RNN sequence-to-sequence model.

embedding_tied_rnn_seq2seq(…):

Embedding RNN sequence-to-sequence model with tied (shared) parameters.

model_with_buckets(…):

Create a sequence-to-sequence model with support for bucketing.

one2many_rnn_seq2seq(…):

One-to-many RNN sequence-to-sequence model (multi-task).

rnn_decoder(…):

RNN decoder for the sequence-to-sequence model.

sequence_loss(…):

Weighted cross-entropy loss for a sequence of logits, batch-collapsed.

sequence_loss_by_example(…):

Weighted cross-entropy loss for a sequence of logits (per example).

tied_rnn_seq2seq(…):

RNN sequence-to-sequence model with tied encoder and decoder parameters.