Sizes of tensors must match except in dimension 1. Expected size 102 but got size 26 for tensor number 1 in the list.

这个错误通常发生在PyTorch的Tensor操作中，它表明在进行某种操作时，输入的张量尺寸不匹配。具体来说，在操作中，张量的尺寸需要匹配，除了在第1个维度上可以不匹配。因此在你的代码中，你的第一个张量的尺寸应该是102，但是实际上它的尺寸是26，导致了这个错误。

解决这个问题的方法是检查你的代码，确保所有的输入张量的尺寸都是正确的。如果你仍然无法解决问题，请提供更多的上下文和代码，我可以帮助你更好地诊断和解决这个问题。

相关问题

Sizes of tensors must match except in dimension 1. Expected size 2 but got size 1 for tensor number 1 in the list.

This error message typically occurs when you are trying to perform an operation that requires tensors of the same size, but one or more of the tensors in the list has a different size than expected. In particular, the error message suggests that the tensors have dimensions greater than 1, and that the only dimension in which they can differ is the first dimension (i.e., the batch size).

For example, suppose you have a list of tensors representing the inputs to a neural network, and you want to concatenate them along the second dimension (e.g., to combine two 1D feature vectors into a single 2D feature matrix). If the tensors have different sizes along the second dimension, you will get this error message.

To resolve this issue, you should check the sizes of the tensors in the list and make sure they are consistent with the operation you are trying to perform. If necessary, you may need to reshape or pad the tensors to ensure that they have the same size.

Sizes of tensors must match except in dimension 1. Expected size 8 but got size 16 for tensor number 1 in the list.

这个错误通常出现在使用 PyTorch 的 nn.ModuleList 或 nn.Sequential 时，输入的 tensor 维度不匹配。在你的情况下，该错误表示输入到模型的 tensor 在指定维度上的大小不一致。请检查你的输入数据和模型的输入维度是否匹配。你可以使用 print 语句输出 tensor 的大小来进行调试。如果问题仍然存在，请提供更多的代码和错误信息，以便我更好地帮助你解决问题。