zhonghanwen
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zhonghanwen
Target_centers are normlized before calculating center offset. `target_centers = torch.nn.functional.normalize(target_centers, dim=-1) center_offset = (1-alpha)*(features.detach() - target_centers)` However, if features' norm is bigger than 1, these centers will move towards inf....