def forward_head()

in src/resnet50.py [0:0]


    def forward_head(self, x):
        if self.projection_head is not None:
            x = self.projection_head(x)

        if self.l2norm:
            x = nn.functional.normalize(x, dim=1, p=2)

        if self.prototypes is not None:
            return x, self.prototypes(x)
        return x