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# Written by Shigeki Karita, 2019
# Published under Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
# Adapted by Florian Lux, 2021
import torch
class PositionwiseFeedForward(torch.nn.Module):
"""
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=torch.nn.ReLU()):
super(PositionwiseFeedForward, self).__init__()
self.w_1 = torch.nn.Linear(idim, hidden_units)
self.w_2 = torch.nn.Linear(hidden_units, idim)
self.dropout = torch.nn.Dropout(dropout_rate)
self.activation = activation
def forward(self, x):
return self.w_2(self.dropout(self.activation(self.w_1(x))))
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