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def | output_projection (self, model, decoder_outputs, decoder_output_size, target_vocab_size, decoder_softmax_size) |
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def | model_build_fun (self, model, forward_only=False, loss_scale=None) |
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def | forward_model_build_fun (self, model, loss_scale=None) |
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def | norm_clipped_grad_update (self, model, scope) |
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def | norm_clipped_sparse_grad_update (self, model, scope) |
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def | total_loss_scalar (self) |
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def | __init__ (self, model_params, source_vocab_size, target_vocab_size, num_gpus=1, num_cpus=1) |
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def | __enter__ (self) |
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def | __exit__ (self, exc_type, exc_value, traceback) |
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def | initialize_from_scratch (self) |
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def | get_current_step (self) |
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def | inc_current_step (self) |
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def | step (self, batch, forward_only) |
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| num_gpus |
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| model |
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| forward_net |
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| encoder_type |
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| learning_rate |
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| global_step |
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| start_time |
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| encoder_embeddings |
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| decoder_embeddings |
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| model_params |
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| encoder_params |
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| source_vocab_size |
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| target_vocab_size |
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| num_cpus |
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| batch_size |
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Definition at line 106 of file seq2seq.py.
The documentation for this class was generated from the following file:
1.8.14