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