47 lines
2.0 KiB
Python
47 lines
2.0 KiB
Python
![]() |
# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
|
||
|
#
|
||
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
||
|
# you may not use this file except in compliance with the License.
|
||
|
# You may obtain a copy of the License at
|
||
|
#
|
||
|
# http://www.apache.org/licenses/LICENSE-2.0
|
||
|
#
|
||
|
# Unless required by applicable law or agreed to in writing, software
|
||
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
||
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||
|
# See the License for the specific language governing permissions and
|
||
|
# limitations under the License.
|
||
|
# ==============================================================================
|
||
|
"""Module implementing RNN Cells.
|
||
|
|
||
|
This module provides a number of basic commonly used RNN cells, such as LSTM
|
||
|
(Long Short Term Memory) or GRU (Gated Recurrent Unit), and a number of
|
||
|
operators that allow adding dropouts, projections, or embeddings for inputs.
|
||
|
Constructing multi-layer cells is supported by the class `MultiRNNCell`, or by
|
||
|
calling the `rnn` ops several times.
|
||
|
"""
|
||
|
from tensorflow.python.keras.layers.legacy_rnn import rnn_cell_impl
|
||
|
|
||
|
# Remove caller that rely on private symbol in future.
|
||
|
# pylint: disable=protected-access
|
||
|
_BIAS_VARIABLE_NAME = rnn_cell_impl._BIAS_VARIABLE_NAME
|
||
|
_WEIGHTS_VARIABLE_NAME = rnn_cell_impl._WEIGHTS_VARIABLE_NAME
|
||
|
_concat = rnn_cell_impl._concat
|
||
|
_zero_state_tensors = rnn_cell_impl._zero_state_tensors
|
||
|
# pylint: disable=protected-access
|
||
|
|
||
|
|
||
|
assert_like_rnncell = rnn_cell_impl.assert_like_rnncell
|
||
|
ASSERT_LIKE_RNNCELL_ERROR_REGEXP = rnn_cell_impl.ASSERT_LIKE_RNNCELL_ERROR_REGEXP # pylint: disable=line-too-long
|
||
|
BasicLSTMCell = rnn_cell_impl.BasicLSTMCell
|
||
|
BasicRNNCell = rnn_cell_impl.BasicRNNCell
|
||
|
DeviceWrapper = rnn_cell_impl.DeviceWrapper
|
||
|
DropoutWrapper = rnn_cell_impl.DropoutWrapper
|
||
|
GRUCell = rnn_cell_impl.GRUCell
|
||
|
LayerRNNCell = rnn_cell_impl.LayerRNNCell
|
||
|
LSTMCell = rnn_cell_impl.LSTMCell
|
||
|
LSTMStateTuple = rnn_cell_impl.LSTMStateTuple
|
||
|
MultiRNNCell = rnn_cell_impl.MultiRNNCell
|
||
|
ResidualWrapper = rnn_cell_impl.ResidualWrapper
|
||
|
RNNCell = rnn_cell_impl.RNNCell
|