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/external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/
Dstate_management.py217 new_states = []
224 new_states.append(
227 looked_up_state = nest.pack_sequence_as(looked_up_state, new_states)
/external/tensorflow/tensorflow/python/keras/layers/
Drecurrent_v2.py382 last_output, outputs, new_states = K.rnn(
389 return last_output, outputs, new_states[0], _runtime('cpu')
775 last_output, outputs, new_states = K.rnn(
782 return last_output, outputs, new_states[0], new_states[1], _runtime('cpu')
Drecurrent.py740 output, new_states = self.cell.call(
742 if not nest.is_sequence(new_states):
743 new_states = [new_states]
744 return output, new_states
749 output, new_states = self.cell.call(inputs, states, **kwargs)
750 if not nest.is_sequence(new_states):
751 new_states = [new_states]
752 return output, new_states
Drecurrent_test.py1441 new_states = NestedState(s1=state_1, s2=state_2_3)
1443 return output, new_states
/external/tensorflow/tensorflow/python/keras/
Dbackend.py3442 output, new_states = step_function(inp,
3454 for state, new_state in zip(states, new_states):
3462 new_states = successive_states[-1]
3482 new_states = successive_states[-1]
3564 output, new_states = step_function(current_input,
3577 flat_new_state = nest.flatten(new_states)
3584 new_states = nest.pack_sequence_as(new_states, flat_final_state)
3590 tuple(flat_new_output)) + tuple(new_states)
3597 new_states = final_outputs[3:]
3612 output, new_states = step_function(current_input,
[all …]
Dbackend_test.py1048 last_output, outputs, new_states = keras.backend.rnn(rnn_fn, inputs,
1055 for state in new_states:
1060 self.assertLen(new_states, 1)
1061 state_list[i].append(keras.backend.eval(new_states[0]))
1144 last_output, outputs, new_states = keras.backend.rnn(rnn_fn, inputs,
1154 self.assertEqual(new_states[0].shape.as_list(), [num_samples, output_dim])
1155 self.assertEqual(new_states[1].shape.as_list(),
1160 self.assertLen(new_states, 2)
1161 state_list[i].append(keras.backend.eval(new_states[0]))
1162 additional_state_list[i].append(keras.backend.eval(new_states[1]))
/external/tensorflow/tensorflow/python/ops/
Drnn_cell_impl.py1686 new_states = []
1700 new_states.append(new_state)
1702 new_states = (tuple(new_states) if self._state_is_tuple else
1703 array_ops.concat(new_states, 1))
1705 return cur_inp, new_states
/external/pcre/dist2/src/
Dpcre2_dfa_match.c523 stateblock *active_states, *new_states, *temp_states; in internal_dfa_match() local
561 next_new_state = new_states = active_states + wscount; in internal_dfa_match()
653 memcpy(new_states, active_states, (size_t)new_count * sizeof(stateblock)); in internal_dfa_match()
695 active_states = new_states; in internal_dfa_match()
696 new_states = temp_states; in internal_dfa_match()
706 next_new_state = new_states; in internal_dfa_match()