positionwise_feed_forward.py 1.6 KB
Newer Older
H
Hui Zhang 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13
# Copyright (c) 2021 PaddlePaddle 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.
小湉湉's avatar
小湉湉 已提交
14
# Modified from espnet(https://github.com/espnet/espnet)
H
Hui Zhang 已提交
15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46
"""Positionwise feed forward layer definition."""
import paddle


class PositionwiseFeedForward(paddle.nn.Layer):
    """Positionwise feed forward layer.

    Parameters
    ----------
    idim : int
        Input dimenstion.
    hidden_units : int
        The number of hidden units.
    dropout_rate : float
        Dropout rate.
    """

    def __init__(self,
                 idim,
                 hidden_units,
                 dropout_rate,
                 activation=paddle.nn.ReLU()):
        """Construct an PositionwiseFeedForward object."""
        super(PositionwiseFeedForward, self).__init__()
        self.w_1 = paddle.nn.Linear(idim, hidden_units, bias_attr=True)
        self.w_2 = paddle.nn.Linear(hidden_units, idim, bias_attr=True)
        self.dropout = paddle.nn.Dropout(dropout_rate)
        self.activation = activation

    def forward(self, x):
        """Forward funciton."""
        return self.w_2(self.dropout(self.activation(self.w_1(x))))