Caffe2 - Python API
A deep learning, cross platform ML framework
caffe2.python.rnn_cell.AttentionCell Member List

This is the complete list of members for caffe2.python.rnn_cell.AttentionCell, including all inherited members.

__init__(self, encoder_output_dim, encoder_outputs, encoder_lengths, decoder_cell, decoder_state_dim, attention_type, weighted_encoder_outputs, attention_memory_optimization, kwargs) (defined in caffe2.python.rnn_cell.AttentionCell)caffe2.python.rnn_cell.AttentionCell
__init__(self, name=None, forward_only=False, initializer=None) (defined in caffe2.python.rnn_cell.RNNCell)caffe2.python.rnn_cell.RNNCell
apply(self, model, input_t, seq_lengths, states, timestep) (defined in caffe2.python.rnn_cell.RNNCell)caffe2.python.rnn_cell.RNNCell
apply_over_sequence(self, model, inputs, seq_lengths=None, initial_states=None, outputs_with_grads=None) (defined in caffe2.python.rnn_cell.RNNCell)caffe2.python.rnn_cell.RNNCell
apply_override(self, model, input_t, seq_lengths, timestep, extra_inputs=None)caffe2.python.rnn_cell.RNNCell
attention_memory_optimization (defined in caffe2.python.rnn_cell.AttentionCell)caffe2.python.rnn_cell.AttentionCell
attention_type (defined in caffe2.python.rnn_cell.AttentionCell)caffe2.python.rnn_cell.AttentionCell
build_initial_coverage(self, model)caffe2.python.rnn_cell.AttentionCell
coverage_weights (defined in caffe2.python.rnn_cell.AttentionCell)caffe2.python.rnn_cell.AttentionCell
decoder_cell (defined in caffe2.python.rnn_cell.AttentionCell)caffe2.python.rnn_cell.AttentionCell
decoder_state_dim (defined in caffe2.python.rnn_cell.AttentionCell)caffe2.python.rnn_cell.AttentionCell
encoder_lengths (defined in caffe2.python.rnn_cell.AttentionCell)caffe2.python.rnn_cell.AttentionCell
encoder_output_dim (defined in caffe2.python.rnn_cell.AttentionCell)caffe2.python.rnn_cell.AttentionCell
encoder_outputs (defined in caffe2.python.rnn_cell.AttentionCell)caffe2.python.rnn_cell.AttentionCell
encoder_outputs_transposed (defined in caffe2.python.rnn_cell.AttentionCell)caffe2.python.rnn_cell.AttentionCell
forward_only (defined in caffe2.python.rnn_cell.RNNCell)caffe2.python.rnn_cell.RNNCell
get_attention_weights(self) (defined in caffe2.python.rnn_cell.AttentionCell)caffe2.python.rnn_cell.AttentionCell
get_output_dim(self) (defined in caffe2.python.rnn_cell.AttentionCell)caffe2.python.rnn_cell.AttentionCell
get_output_state_index(self) (defined in caffe2.python.rnn_cell.AttentionCell)caffe2.python.rnn_cell.AttentionCell
get_state_names(self) (defined in caffe2.python.rnn_cell.AttentionCell)caffe2.python.rnn_cell.AttentionCell
get_state_names_override(self)caffe2.python.rnn_cell.RNNCell
hidden_t_intermediate (defined in caffe2.python.rnn_cell.AttentionCell)caffe2.python.rnn_cell.AttentionCell
initializer(self) (defined in caffe2.python.rnn_cell.RNNCell)caffe2.python.rnn_cell.RNNCell
initializer(self, value) (defined in caffe2.python.rnn_cell.RNNCell)caffe2.python.rnn_cell.RNNCell
name (defined in caffe2.python.rnn_cell.RNNCell)caffe2.python.rnn_cell.RNNCell
prepare_input(self, model, input_blob) (defined in caffe2.python.rnn_cell.AttentionCell)caffe2.python.rnn_cell.AttentionCell
recompute_blobs (defined in caffe2.python.rnn_cell.RNNCell)caffe2.python.rnn_cell.RNNCell
scope(self, name) (defined in caffe2.python.rnn_cell.RNNCell)caffe2.python.rnn_cell.RNNCell
weighted_encoder_outputs (defined in caffe2.python.rnn_cell.AttentionCell)caffe2.python.rnn_cell.AttentionCell