RuntimeError: shape '[1]' is invalid for input of size 2
时间: 2023-09-20 10:12:31 浏览: 211
这个错误通常发生在输入数据的维度不匹配时。在PyTorch中,张量的维度应该是一个整数的元组,用于描述张量的形状。这个错误信息的意思是,你尝试将一个大小为2的张量转换成形状为[1]的张量,这是不允许的。可能你的代码中有一个维度的错误,或者在数据处理中出现了错误。你需要检查一下你的代码,确保输入的张量的形状和你的模型的输入形状匹配。
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 '[8]' is invalid for input of size 16
这个错误通常是由于输入数据的形状不匹配导致的。具体而言,这个错误表示你正在尝试将一个大小为16的输入张量转换为形状为[8]的张量,但是这是不可能的,因为这两个形状的元素数量不同。
解决这个问题的方法取决于你的具体情况。如果你使用的是预训练模型,则可能需要检查输入数据的形状是否与模型预期的形状匹配。如果你正在编写自己的模型,则可能需要检查你的网络结构和数据处理代码,确保输入张量的形状正确。
可以尝试打印出输入张量的形状,以及模型或代码期望的形状,以便更好地理解问题的来源。
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