Why is the training code different from the test code？

[784682065]

Thanks for your contribution!
But i still have some questions ,like this !
why training code different from the test code in the cls_head.py's forward method?

   def forward(self, x):
        if not self.fcn_testing:
            if x.ndimension() == 4:
                x = x.unsqueeze(2)
            assert x.shape[1] == self.in_channels
            assert x.shape[2] == self.temporal_feature_size
            assert x.shape[3] == self.spatial_feature_size
            assert x.shape[4] == self.spatial_feature_size
            if self.with_avg_pool:
                x = self.avg_pool(x)
            if self.dropout is not None:
                x = self.dropout(x)
            x = x.view(x.size(0), -1)
            cls_score = self.fc_cls(x)
            return cls_score
        else:
            if self.with_avg_pool:
                x = self.avg_pool(x)
            if self.new_cls is None:
                self.new_cls = nn.Conv3d(self.in_channels, self.num_classes, 1, 1, 0).cuda()
                self.new_cls.weight.copy_(self.fc_cls.weight.unsqueeze(-1).unsqueeze(-1).unsqueeze(-1))
                self.new_cls.bias.copy_(self.fc_cls.bias)
                self.fc_cls = None
            class_map = self.new_cls(x)
            # return class_map.mean([2,3,4])
            return class_map