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关于图构建时滑动平均的问题

注意到这几行代码:

    @torch.no_grad()
    def push(self, feats, indexes):
        for i in range(indexes.shape[0]):
            key = indexes[i].item()
            #data = feats[i][0].cpu().detach().numpy()
            data = feats[i].unsqueeze_(0)
            if key not in self.memory_dict.keys():
                self.memory_dict[key] = [data]
                #self.memory_dict[key] = data
            elif len(self.memory_dict[key]) == self.size:
                self.memory_dict[key].pop(0)
                self.memory_dict[key].append(data)
            else:
                self.memory_dict[key].append(data)
                #self.memory_dict[key] = self.alpha * self.memory_dict[key] + (1.0 - self.alpha) * data

模型在训练的时候好像并没有使用到滑动平均。想知道论文中提到的moving average提现在哪里?

感谢!

About pretext documents and training time

Hello!
I have been unable to download pretexte files because it needs permission to access. Could you give me this permission because the training model is a waste of time?
And another question, how long have you been running 1000 epochs on cifar-10 or other datasets? It is not clearly stated in the paper?
thank you!

Some question about data augmentation

Hi,

image

When you get the dataset, it looks like you've done the transformation in your code, but then you do the transformation again in the End2EndDataset.

Do I need to transform the data twice?

Thanks,

Zhaoyu.

没有simclr_train的问题

simclr.py文件中from utils.train_utils import simclr_train这句代码,utils.train_utils是没有simclr_train的,只有gcc_train,这个怎么说?

报错

请问 PermissionError: [Errno 13] Permission denied: '/gruntdata' 这个问题怎么解决?

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