shape '[-1, 400]' is invalid for input of size 44944
时间: 2023-05-11 10:07:37 浏览: 1280
这个错误提示意味着输入的数据形状不符合模型的要求。具体来说,模型期望的输入形状是[-1, 400],但是实际输入的数据形状是44944。这可能是因为数据的维度不正确或者数据的大小不符合要求。你可以检查一下输入数据的形状和大小是否正确,或者尝试调整模型的输入形状来适应数据。
相关问题
RuntimeError: shape '[-1, 400]' is invalid for input of size 44944
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。
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.
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