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Caffe2 - Python API
A deep learning, cross platform ML framework
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Caffe2 - Python API
A deep learning, cross platform ML framework
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Public Attributes | |
| attention_type | |
 Public Attributes inherited from rnn_cell.LSTMWithAttentionCell | |
| encoder_output_dim | |
| encoder_outputs | |
| decoder_input_dim | |
| decoder_state_dim | |
| weighted_encoder_outputs | |
| encoder_outputs_transposed | |
| attention_type | |
| lstm_memory_optimization | |
| attention_memory_optimization | |
| Public Attributes inherited from rnn_cell.RNNCell | |
| name | |
| recompute_blobs | |
Additional Inherited Members | |
| Public Member Functions inherited from rnn_cell.LSTMWithAttentionCell | |
| def | __init__ (self, encoder_output_dim, encoder_outputs, decoder_input_dim, decoder_state_dim, name, attention_type, weighted_encoder_outputs, forget_bias, lstm_memory_optimization, attention_memory_optimization) |
| def | get_attention_weights (self) |
| def | prepare_input (self, model, input_blob) |
| def | get_state_names (self) |
| def | get_outputs_with_grads (self) |
| def | get_output_size (self) |
| Public Member Functions inherited from rnn_cell.RNNCell | |
| def | __init__ (self, name) |
| def | scope (self, name) |
| def | apply_over_sequence (self, model, inputs, seq_lengths, initial_states, outputs_with_grads=None) |
| def | apply (self, model, input_t, seq_lengths, states, timestep) |
| def | prepare_input (self, model, input_blob) |
| def | get_state_names (self) |
Definition at line 837 of file rnn_cell.py.
1.8.14