caffe2.python.rnn_cell.AttentionCell Class Reference

Inheritance diagram for caffe2.python.rnn_cell.AttentionCell:

Public Member Functions
def	__init__ (self, encoder_output_dim, encoder_outputs, encoder_lengths, decoder_cell, decoder_state_dim, attention_type, weighted_encoder_outputs, attention_memory_optimization, kwargs)
def	get_attention_weights (self)
def	prepare_input (self, model, input_blob)
def	build_initial_coverage (self, model)
def	get_state_names (self)
def	get_output_dim (self)
def	get_output_state_index (self)
Public Member Functions inherited from caffe2.python.rnn_cell.RNNCell
def	__init__ (self, name=None, forward_only=False, initializer=None)
def	initializer (self)
def	initializer (self, value)
def	scope (self, name)
def	apply_over_sequence (self, model, inputs, seq_lengths=None, initial_states=None, outputs_with_grads=None)
def	apply (self, model, input_t, seq_lengths, states, timestep)
def	apply_override (self, model, input_t, seq_lengths, timestep, extra_inputs=None)
def	prepare_input (self, model, input_blob)
def	get_output_state_index (self)
def	get_state_names (self)
def	get_state_names_override (self)
def	get_output_dim (self)

Public Attributes
	encoder_output_dim
	encoder_outputs
	encoder_lengths
	decoder_cell
	decoder_state_dim
	weighted_encoder_outputs
	encoder_outputs_transposed
	attention_type
	attention_memory_optimization
	hidden_t_intermediate
	coverage_weights
Public Attributes inherited from caffe2.python.rnn_cell.RNNCell
	name
	recompute_blobs
	forward_only

Detailed Description

Definition at line 1109 of file rnn_cell.py.

Member Function Documentation

def caffe2.python.rnn_cell.AttentionCell.build_initial_coverage	(		self,
			model
	)

initial_coverage is always zeros of shape [encoder_length],
which shape must be determined programmatically dureing network
computation.

This method also sets self.coverage_weights, a separate transform
of encoder_outputs which is used to determine coverage contribution
tp attention.

Definition at line 1288 of file rnn_cell.py.

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The documentation for this class was generated from the following file:

• caffe2/python/rnn_cell.py