RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 7 but got size 6 for tensor number 1 in the list.
时间: 2024-05-27 15:05:02 浏览: 269
这个错误提示是由于张量的尺寸不匹配导致的。具体来说,在运行过程中,张量的尺寸在除了第一个维度之外的其他维度上必须匹配。在你提供的错误提示中,报错信息是"RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 7 but got size 6 for tensor number 1 in the list.",意味着在第1个张量中,期望的尺寸是7,但实际得到的尺寸是6。解决这个问题的方法是检查代码中涉及到的张量的尺寸是否正确,并确保它们在除了第一个维度之外的其他维度上匹配。如果有必要,可以使用reshape()函数来调整张量的尺寸。
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RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 7 but got size 6 for tensor number 1 in the list
This error occurs when there is a size mismatch between tensors in a list. In this case, the error message indicates that tensor number 1 in the list has an expected size of 7 but got a size of 6.
To fix this error, you need to ensure that all tensors in the list have the same size in all dimensions except dimension 1. Check the code that creates the list of tensors and make sure that all tensors have the same size. If the sizes are different, you can resize the tensors using PyTorch's `resize()` function or create new tensors with the correct size.
RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 6 but got size 1 for tensor number 1 in the list.
这个错误通常发生在你在进行 PyTorch 的张量操作时,两个张量的形状不匹配。具体地说,在维度1以外的维度上,两个张量必须具有相同的形状,否则会引发这个错误。
请检查你的代码,特别是与张量操作相关的部分,确保你正在使用具有相同形状的张量。如果你仍然无法解决问题,请尝试打印出相关张量的形状,以便更好地理解问题所在。
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