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Searched refs:cell_inputs (Results 1 – 6 of 6) sorted by relevance

/external/tensorflow/tensorflow/python/keras/layers/
Drecurrent_v2.py225 def step(cell_inputs, cell_states): argument
226 return self.cell.call(cell_inputs, cell_states, **kwargs)
358 def step(cell_inputs, cell_states): argument
363 matrix_x = K.dot(cell_inputs, kernel)
756 def step(cell_inputs, cell_states): argument
761 z = K.dot(cell_inputs, kernel)
/external/tensorflow/tensorflow/contrib/grid_rnn/python/ops/
Dgrid_rnn_cell.py629 cell_inputs = array_ops.concat(ls_cell_inputs, 1)
631 cell_inputs = array_ops.zeros([m_prev[0].get_shape().as_list()[0], 0],
641 linear_args = array_ops.concat([cell_inputs, last_dim_output], 1)
668 new_output[d.idx], new_state[d.idx] = cell(cell_inputs, cell_state)
/external/tensorflow/tensorflow/contrib/rnn/python/ops/
Drnn_cell.py271 cell_inputs = array_ops.concat([inputs, m_prev], 1)
272 lstm_matrix = math_ops.matmul(cell_inputs, concat_w)
443 cell_inputs = array_ops.concat([freq_inputs[fq], m_prev, m_prev_freq], 1)
444 lstm_matrix = nn_ops.bias_add(math_ops.matmul(cell_inputs, concat_w), b)
760 cell_inputs = array_ops.concat(
765 math_ops.matmul(cell_inputs, concat_w_f), b_f)
781 math_ops.matmul(cell_inputs, concat_w_t), b_t)
1700 cell_inputs = array_ops.concat([inputs, state], 1)
1702 self._linear = _Linear(cell_inputs, 2 * self._num_units, True)
1703 rnn_matrix = self._linear(cell_inputs)
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/external/tensorflow/tensorflow/contrib/cudnn_rnn/python/kernel_tests/
Dcudnn_rnn_test.py979 cell_inputs = array_ops.placeholder(
983 (outputs, states) = _CreateCudnnCompatibleCanonicalRNN(rnn, cell_inputs)
994 rnn, cell_inputs, is_bidi=True)
1017 feed_dict={cell_inputs: inference_input})
1025 feed_dict={cell_inputs: inference_input})
/external/tensorflow/tensorflow/contrib/rnn/python/kernel_tests/
Dlstm_ops_test.py455 cell_inputs = array_ops.stack(inputs)
478 cell_inputs, dtype=dtypes.float32, sequence_length=seq_lengths)
/external/tensorflow/tensorflow/contrib/seq2seq/python/ops/
Dattention_wrapper.py2422 cell_inputs = self._cell_input_fn(inputs, state.attention)
2424 cell_output, next_cell_state = self._cell(cell_inputs, cell_state)