models/Contrast.py [49:54]:
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            out = torch.div(out, self.temperature).contiguous()
            with torch.no_grad():
                all_size = k_all.shape[0]
                out_ids = torch.fmod(torch.arange(all_size, dtype=torch.long).cuda() + self.index, self.queue_size)
                self.memory.index_copy_(0, out_ids, k_all)
                self.index = (self.index + all_size) % self.queue_size
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models/Contrast.py [81:86]:
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        out = torch.div(out, self.temperature).contiguous()
        with torch.no_grad():
            all_size = k_all.shape[0]
            out_ids = torch.fmod(torch.arange(all_size, dtype=torch.long).cuda() + self.index, self.queue_size)
            self.memory.index_copy_(0, out_ids, k_all)
            self.index = (self.index + all_size) % self.queue_size
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