def forward()

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