def encoder_cell(self):
"""RNN cell for the encoder."""
with tf.variable_scope("encoder_cell") as scope:
cell = graph_utils.create_multilayer_cell(self.rnn_cell, scope,
self.dim, self.num_layers)
self.encoder_cell_vars = True
return cell, scope
def forward_cell(self):
"""RNN cell for the forward RNN."""
with tf.variable_scope("forward_cell") as scope:
cell = graph_utils.create_multilayer_cell(self.rnn_cell, scope,
self.dim, self.num_layers,
self.encoder_input_keep, self.encoder_output_keep)
return cell, scope
def decoder_cell(self, scope):
with tf.variable_scope(scope or "decoder_cell") as scope:
cell = graph_utils.create_multilayer_cell(
self.rnn_cell, scope, self.dim, self.num_layers,
self.decoder_input_keep, self.decoder_output_keep)
self.encoder_cell_vars = True
return cell, scope
def horizontal_cell(self):
"""Cell that controls transition from left sibling to right sibling."""
with tf.variable_scope("horizontal_cell") as scope:
cell = graph_utils.create_multilayer_cell(self.rnn_cell, scope,
self.dim, self.num_layers,
self.decoder_input_keep,
self.decoder_output_keep)
return cell, scope
def vertical_cell(self):
"""Cell that controls transition from parent to child."""
with tf.variable_scope("vertical_cell") as scope:
cell = graph_utils.create_multilayer_cell(self.rnn_cell, scope,
self.dim, self.num_layers,
self.decoder_input_keep,
self.decoder_output_keep)
return cell, scope
