import torch
[docs]class PositionwiseFeedForward(torch.nn.Module):
"""Positionwise feed forward
:param int idim: input dimenstion
:param int hidden_units: number of hidden units
:param float dropout_rate: dropout rate
"""
def __init__(self, idim, hidden_units, dropout_rate):
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)
[docs] def forward(self, x):
return self.w_2(self.dropout(torch.relu(self.w_1(x))))