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Thank you for your work. However, when I tested according to the steps you provided, why when training the model, img_feat = img_f.reshape(n, d*img_f.size(1))
When testing img_feat = torch.flatten(self.avg_pool3d(img_f),1) there is an error in this line of code. Is there any difference between training and testing? I look forward to your reply. Thank you very much.
The text was updated successfully, but these errors were encountered:
Thank you for your work. However, when I tested according to the steps you provided, why when training the model, img_feat = img_f.reshape(n, d*img_f.size(1))
When testing img_feat = torch.flatten(self.avg_pool3d(img_f),1) there is an error in this line of code. Is there any difference between training and testing? I look forward to your reply. Thank you very much.
The text was updated successfully, but these errors were encountered: