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    Searched refs:flat_state (Results 1 - 6 of 6) sorted by null

  /external/tensorflow/tensorflow/python/ops/
rnn.py 227 flat_state = nest.flatten(state)
252 for state, new_state in zip(flat_state, flat_new_state)]
282 empty_update = lambda: flat_zero_output + flat_state
289 if len(final_output_and_state) != len(flat_zero_output) + len(flat_state):
297 for substate, flat_substate in zip(final_state, flat_state):
    [all...]
  /external/tensorflow/tensorflow/contrib/recurrent/python/ops/
functional_rnn.py 173 def MaybeRemoveOutputFromState(self, flat_state):
175 return flat_state[1:]
176 return flat_state
  /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/
dynamic_rnn_estimator.py 68 flat_state = nest.flatten(state)
70 for i, state_component in enumerate(flat_state):
state_saving_rnn_estimator.py 323 flat_state = nest.flatten(state)
325 for i, state_component in enumerate(flat_state):
  /external/tensorflow/tensorflow/python/keras/
backend.py     [all...]
  /external/tensorflow/tensorflow/python/keras/layers/
recurrent.py 470 def _get_state_shape(flat_state):
471 state_shape = [batch] + tensor_shape.as_shape(flat_state).as_list()
    [all...]

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