shape '[20, 128]' is invalid for input of size 128

这个错误通常出现在神经网络的输入数据维度不匹配时，具体来说，这个错误是由于输入数据的维度为[20,128]，但实际的输入数据大小只有128，这与所期望的大小不符。你需要检查你的输入数据的维度是否正确，以及确保输入数据的大小与所期望的大小相匹配。如果需要，你可以调整输入数据的大小或维度，以确保它们与你的神经网络模型相匹配。

相关问题

RuntimeError: shape '[3, 128, 128]' is invalid for input of size 1048576

这个错误通常意味着你正在尝试使用不匹配的张量形状来处理数据。在这种情况下，输入数据的大小应该是1048576，但是形状被指定为[3, 128, 128]。请检查您代码中的所有操作，确保它们都使用正确的张量形状来处理数据。您还可以尝试调整代码中的输入大小，以使其与指定的张量形状相匹配。

shape '[16]' is invalid for input of size 64

This error message indicates that the shape of the input tensor is not compatible with the expected shape. In this case, the input tensor has a shape of [64], but the model expects a shape of [16].

To resolve this issue, you need to reshape the input tensor to the correct shape. You can use the reshape() function from the NumPy library to reshape the input tensor. For example:

import numpy as np

# Assume X is the input tensor with shape [64]
X = np.random.randn(64)

# Reshape X to [16]
X = X.reshape((16, 4))

In this example, we reshape the input tensor X to have a shape of [16, 4]. This will enable us to pass X to the model without getting the "shape '[16]' is invalid for input of size 64" error message. Note that the reshape function can be used to reshape a tensor to any compatible shape, as long as the total number of elements remains the same.