shape '[-1, 1, 52]' is invalid for input of size 28224
时间: 2024-05-23 20:16:08 浏览: 172
这个错误通常是由于输入数据的形状不正确导致的。根据错误信息,输入数据的形状应该是`[-1, 1, 52]`,但是这个形状的元素数量并不等于28224,因此出现了错误。
可能的原因是您在构建模型时指定了错误的输入形状,或者输入数据的形状与您期望的不匹配。您可以检查一下输入数据的维度和形状是否正确,并确保它们与模型的输入形状相匹配。
如果您是使用框架(如TensorFlow或PyTorch)来构建模型,可以使用相应的函数(如`tf.shape`或`torch.Tensor.size()`)来查看输入数据的形状。如果您是手动处理输入数据,请确保您已正确地将其转换为所需的形状。
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.
shape '[-1, 125472]' is invalid for input of size 1536
这个错误提示表示你在输入一个大小为1536的张量时,指定的形状不正确。具体来说,形状为`[-1, 125472]`的张量应该拥有125472个元素,但是这个形状中的-1表示这个维度的大小是不确定的,需要根据其他维度的大小来自动推断。因此,你需要检查一下你的代码,找出哪里指定了这个不正确的形状,并且修改成正确的形状。可能需要仔细查看代码和数据的维度大小,以及数据处理的过程。