Searched refs:LSTMCell (Results 1 – 25 of 46) sorted by relevance
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137 [rnn_cell_impl.LSTMCell(1) for _ in range(2)])148 [keras.layers.LSTMCell(1) for _ in range(2)])185 rnn_cell_impl.LSTMCell,360 self._assert_cell_builds(rnn_cell_impl.LSTMCell, f32, 5, 7, 3)361 self._assert_cell_builds(rnn_cell_impl.LSTMCell, f64, 5, 7, 3)444 cell = keras.layers.LSTMCell(output_shape)483 [keras.layers.LSTMCell(2 * output_shape),484 keras.layers.LSTMCell(output_shape)])641 lstm_cell = rnn_cell_impl.LSTMCell(1, name="basic_lstm_cell")655 rnn_cell_impl.LSTMCell(32, use_peepholes=True, cell_clip=True),[all …]
370 lstm = rnn_cell.LSTMCell(10)377 lstm = rnn_cell.LSTMCell(10, dtype=dtype)391 cell = rnn_cell.LSTMCell(414 cell = rnn_cell.LSTMCell(446 cell = rnn_cell.LSTMCell(480 cell = rnn_cell.LSTMCell(527 return rnn_cell.LSTMCell(589 cell = rnn_cell.LSTMCell(615 cell_notuple = rnn_cell.LSTMCell(621 cell_tuple = rnn_cell.LSTMCell([all …]
47 def LSTMCell(weights, m_prev, c_prev, x, pad): function113 m, c = LSTMCell(weights, m, c, x_seq[seq], pad_seq[seq])
53 cell = rnn_cell.LSTMCell(cell_depth)139 cell = rnn_cell.LSTMCell(vocabulary_size)215 cell = rnn_cell.LSTMCell(vocabulary_size)284 cell = rnn_cell.LSTMCell(vocabulary_size)374 cell = rnn_cell.LSTMCell(cell_depth)527 cell = rnn_cell.LSTMCell(vocabulary_size)608 cell = rnn_cell.LSTMCell(vocabulary_size)
57 cell = rnn_cell.LSTMCell(cell_depth)142 cell = rnn_cell.LSTMCell(vocabulary_size)219 cell = rnn_cell.LSTMCell(vocabulary_size)291 cell = rnn_cell.LSTMCell(vocabulary_size)381 cell = rnn_cell.LSTMCell(cell_depth)533 cell = rnn_cell.LSTMCell(vocabulary_size)612 cell = rnn_cell.LSTMCell(vocabulary_size)
55 cell = rnn_cell.LSTMCell(cell_depth)129 cell = rnn_cell.LSTMCell(cell_depth)
53 cell = rnn_cell.LSTMCell(cell_depth)132 cell = rnn_cell.LSTMCell(cell_depth)
93 cell = wrapper.AttentionWrapper(rnn_cell.LSTMCell(num_units), mechanism)196 cell = rnn_cell.LSTMCell(cell_depth)300 cell = rnn_cell.LSTMCell(num_units)429 cell = rnn_cell.LSTMCell(num_units)1024 rnn_cell.LSTMCell(2),
307 cell = keras.layers.LSTMCell(cell_depth,408 cell = keras.layers.LSTMCell(self.units, recurrent_activation="sigmoid")435 cell = keras.layers.LSTMCell(self.units, recurrent_activation="sigmoid")
10 TensorFlow, LSTM ops are expressed as a "cell" (e.g., `tf.nn.rnn_cell.LSTMCell`,37 First step is replacing `tf.nn.rnn_cell.LSTMCell` with43 `tf.lite.experimental.nn.dynamic_rnn` are just normal `tf.nn.rnn_cell.LSTMCell`74 - tf.nn.rnn_cell.LSTMCell(186 # (OpHinted LSTMCell).377 * `num_unit_shards` & `num_proj_shards` in LSTMCell are not supported as
130 rnn.LSTMCell, num_units=num_units, state_is_tuple=state_is_tuple)443 return rnn.LSTMCell(476 return rnn.LSTMCell(513 return rnn.LSTMCell(
61 rnn_cell.LSTMCell(68 rnn_cell.LSTMCell(240 rnn_cell.LSTMCell(247 rnn_cell.LSTMCell(
143 basic_cell = rnn_cell.LSTMCell(265 cell = rnn_cell.LSTMCell(10)266 pcell = rnn_cell.LSTMCell(10, use_peepholes=True)369 rnn_cell.LSTMCell(2, use_peepholes=True, state_is_tuple=True)
24 name: "LSTMCell"
1 path: "tensorflow.nn.rnn_cell.LSTMCell"3 is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.LSTMCell\'>"
1 path: "tensorflow.keras.layers.LSTMCell"3 is_instance: "<class \'tensorflow.python.keras.layers.recurrent.LSTMCell\'>"
37 root.rnn_cell = tf.keras.layers.LSTMCell(units=10, recurrent_initializer=None)
41 self._lstm_cell = tf.keras.layers.LSTMCell(units=state_size)
603 cells = [keras.layers.LSTMCell(1),604 keras.layers.LSTMCell(1)]625 cells = [keras.layers.LSTMCell(1),626 keras.layers.LSTMCell(1)]685 keras.layers.LSTMCell]:754 keras.layers.LSTMCell],805 cells = [keras.layers.LSTMCell(3),806 keras.layers.LSTMCell(6)]1195 keras.layers.LSTMCell,1210 rnn_cell.LSTMCell,
140 lstm_cells = [keras.layers.LSTMCell(10), keras.layers.LSTMCell(5)]
40 subcells = [rnn_cell_impl.LSTMCell(cell_size) for cell_size in cell_sizes]56 'lstm': (rnn_cell_impl.LSTMCell, [_NUM_UNITS]),
57 'lstm': contrib_rnn.LSTMCell,
94 self._lstm_cell = tf.nn.rnn_cell.LSTMCell(num_units=self._num_units)
172 class MaskedLSTMCell(tf_rnn.LSTMCell):