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原代码中: if self.conv_type == '2d': theta = torch.mean(theta, axis=-1) 但是这样的话theta为三维的,是不是应该在求mean之前reshape,如: if self.conv_type == '2d': theta = torch.reshape(theta, (:,:,-1)) theta = torch.mean(theta, axis=-1)
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@bobo0810 期待与您探讨一下
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你好,非常抱歉,我在训练过程中没有遇到这个问题。也许你可以去官方库探讨一下?
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原代码中:
if self.conv_type == '2d':
theta = torch.mean(theta, axis=-1)
但是这样的话theta为三维的,是不是应该在求mean之前reshape,如:
if self.conv_type == '2d':
theta = torch.reshape(theta, (:,:,-1))
theta = torch.mean(theta, axis=-1)
The text was updated successfully, but these errors were encountered: