RuntimeError: shape '[-1, 400]' is invalid for input of size 44944
时间: 2023-09-24 22:12:58 浏览: 62
这个错误提示也是出现在深度学习模型中,表示输入数据的形状不符合模型的要求。具体来说,这个错误提示中的信息是指输入数据的形状为[-1, 400],其中-1表示数据的批量大小,400表示每个数据的特征维度。而实际上,输入数据的大小是44944,这个大小与[-1, 400]的形状不匹配,所以就出现了这个错误。同样地,可以检查一下输入数据的形状是否正确,或者检查一下模型定义中对输入数据形状的要求是否正确。另外,还需要注意一下输入数据的通道数是否正确,即如果是图像数据,需要确保通道数的维度也正确。
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 '[-1, 400]' is invalid for input of size 49152
这个错误通常是由于输入数据的大小不匹配而引起的。在这个例子中,你的输入数据的形状被设置为`[-1, 400]`,但是数据的大小实际上是`49152`。这可能是因为你的输入数据的形状设置不正确或者你的数据本身是错误的。
为了解决这个问题,你需要检查你的代码,确保你的输入数据的形状正确,并且数据的大小与你所期望的大小相匹配。此外,你还可以尝试打印出输入数据的形状和大小,以便更好地理解问题所在。