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c22b544 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 | import torch
import torch.nn as nn
class Decoder(nn.Module):
def __init__(self, input_features=128, hidden_features=128, num_classes=10):
"""
input_features (Q): Encoderから来る特徴次元
num_classes: SED用のクラス数
"""
super(Decoder, self).__init__()
self.fc_sed = nn.Sequential(
nn.Linear(input_features, hidden_features),
nn.ReLU(),
nn.Linear(hidden_features, num_classes),
nn.Sigmoid()
)
self.fc_doa = nn.Sequential(
nn.Linear(input_features, hidden_features),
nn.ReLU(),
nn.Linear(hidden_features, num_classes),
nn.Tanh()
)
def forward(self, x):
"""
x: (batch, input_features)
returns:
- sed_output: (batch, num_classes)
- doa_output: (batch, num_classes)
"""
sed_output = self.fc_sed(x)
doa_output = self.fc_doa(x)
return sed_output, doa_output
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