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47 lines
1.6 KiB
47 lines
1.6 KiB
# Copyright (c) 2021 PaddlePaddle 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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# Modified from espnet(https://github.com/espnet/espnet)
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"""Positionwise feed forward layer definition."""
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import paddle
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class PositionwiseFeedForward(paddle.nn.Layer):
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"""Positionwise feed forward layer.
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Parameters
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----------
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idim : int
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Input dimenstion.
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hidden_units : int
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The number of hidden units.
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dropout_rate : float
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Dropout rate.
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"""
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def __init__(self,
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idim,
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hidden_units,
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dropout_rate,
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activation=paddle.nn.ReLU()):
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"""Construct an PositionwiseFeedForward object."""
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super(PositionwiseFeedForward, self).__init__()
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self.w_1 = paddle.nn.Linear(idim, hidden_units, bias_attr=True)
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self.w_2 = paddle.nn.Linear(hidden_units, idim, bias_attr=True)
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self.dropout = paddle.nn.Dropout(dropout_rate)
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self.activation = activation
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def forward(self, x):
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"""Forward funciton."""
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return self.w_2(self.dropout(self.activation(self.w_1(x))))
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