(encoder_inputs, decoder_inputs, do_decode)
| 131 | |
| 132 | # The seq2seq function: we use embedding for the input and attention. |
| 133 | def seq2seq_f(encoder_inputs, decoder_inputs, do_decode): |
| 134 | return seq2seq_patch.embedding_attention_seq2seq( |
| 135 | encoder_inputs, |
| 136 | decoder_inputs, |
| 137 | cell, |
| 138 | cell, |
| 139 | num_encoder_symbols=source_vocab_size, |
| 140 | num_decoder_symbols=target_vocab_size, |
| 141 | embedding_size=size, |
| 142 | output_projection=output_projection, |
| 143 | feed_previous=do_decode, |
| 144 | dtype=dtype) |
| 145 | |
| 146 | # Feeds for inputs. |
| 147 | self.encoder_inputs = [] |
nothing calls this directly
no outgoing calls
no test coverage detected