Searched refs:new_states (Results 1 – 8 of 8) sorted by relevance
/external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
D | state_management.py | 217 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/ |
D | recurrent_v2.py | 382 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')
|
D | recurrent.py | 740 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
|
D | recurrent_test.py | 1441 new_states = NestedState(s1=state_1, s2=state_2_3) 1443 return output, new_states
|
/external/tensorflow/tensorflow/python/keras/ |
D | backend.py | 3442 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 …]
|
D | backend_test.py | 1048 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/ |
D | rnn_cell_impl.py | 1686 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/ |
D | pcre2_dfa_match.c | 523 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()
|