RuntimeError: shape '[-1, 120]' is invalid for input of size 16384

这个错误通常是由于输入数据的形状不匹配导致的。具体来说，在这个错误中，输入数据的形状被指定为`[-1, 120]`，其中`-1`表示可以取任何值，但是实际输入数据的形状为`[batch_size, input_channels, height, width]`，也就是一个四维张量，这与期望的输入形状`[-1, 120]`不匹配。

要解决这个问题，我们需要检查输入数据的形状是否正确，并手动调整输入数据的形状，使其与期望的形状一致。在这个具体的错误中，我们需要检查当前模型的输入层的形状，并手动调整输入数据的形状，使其与输入层的形状一致。

相关问题

RuntimeError: shape [-1, 784] is invalid for input of size 131072

This error message indicates that the input tensor has a shape of [-1, 784], which means that the first dimension is unknown and the second dimension is 784. However, the size of the input tensor is 131,072, which is incompatible with the specified shape.

To fix this error, you should check the input data and make sure that it has the correct shape and size. It's possible that the input data has been incorrectly formatted or preprocessed, or that the model architecture is not compatible with the input data.

You can also try adjusting the shape of the input tensor to match the size of the input data. For example, you might need to reshape the input data to have a different number of dimensions or a different size for the first dimension. Alternatively, you might need to modify the model architecture to accept a different input shape.

Overall, the best approach to fixing this error will depend on the specific details of your model and input data.

RuntimeError: shape '[3, -1]' is invalid for input of size 128000

这个错误通常意味着输入的张量维度不匹配。具体来说，它表示一个包含3个元素的张量被尝试重塑为一个大小为128000的张量，但是重塑操作是不合法的。

可能的原因是输入张量的形状不正确，或者在前向传递过程中出现了错误。请检查输入张量的形状是否正确，并确保在前向传递过程中没有出现错误。如果问题仍然存在，请提供更多的上下文和代码细节，以便我可以帮助你进一步分析问题。