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About error reporting during testing #4

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zhuangyihao1997 opened this issue Oct 8, 2023 · 2 comments
Open

About error reporting during testing #4

zhuangyihao1997 opened this issue Oct 8, 2023 · 2 comments

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@zhuangyihao1997
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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.

@QMME
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QMME commented Oct 8, 2023

You are right about the error, as this line of code in testing should be deleted. It has been corrected by now.

@zhuangyihao1997
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You are right about the error, as this line of code in testing should be deleted. It has been corrected by now.

OK,thank you for your reply. Thanks again for your open source

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