# 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.
# Modified from espnet(https://github.com/espnet/espnet)
"""Positionwise feed forward layer definition."""
import paddle
from paddle import nn
[docs]class PositionwiseFeedForward(nn.Layer):
"""Positionwise feed forward layer.
Args:
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().__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
[docs] def forward(self, x):
"""Forward funciton."""
return self.w_2(self.dropout(self.activation(self.w_1(x))))