in models/alldnet.py [0:0]
def forward(self, x):
activations = []
out = F.relu(self.conv1(x))
out = F.max_pool2d(out, 2)
# out = out.view(out.size(0), -1)
# activations.append(out)
out = F.relu(self.conv2(out))
# out = out.view(out.size(0), 16, 10, -1)
out = F.max_pool2d(out, 2)
out = out.view(out.size(0), -1)
activations.append(out)
out = F.relu(self.fc1(out))
activations.append(out)
out = F.relu(self.fc2(out))
activations.append(out)
out = self.fc3(out)
return out, activations