in models/regnet.py [0:0]
def forward(self, x):
out = x
if self.conv is not None:
out = self.activation(self.bn(self.conv(x)))
out = self.avgpool(out)
out = out.flatten(start_dim=1)
if self.normalize_inputs is not None:
if self.normalize_inputs == NORMALIZE_L2:
out = nn.functional.normalize(out, p=2.0, dim=1)
if self.fc is not None:
out = self.fc(out)
return out