weight of size [32, 1, 5, 5], expected input[1, 3, 28, 28] to have 1 channels, but got 3 channels instead
时间: 2024-01-22 12:03:17 浏览: 46
This error message indicates that there is a mismatch between the number of input channels expected by the model and the actual number of input channels in the data being passed to the model.
The model is expecting an input of size [1, 3, 28, 28], which means it expects a 4-dimensional tensor with 1 channel and a spatial resolution of 28x28. However, the size of the weight parameter is [32, 1, 5, 5], which means it is a 4-dimensional tensor with 32 channels and a spatial resolution of 5x5.
This suggests that the model was designed to work with input data that has only 1 channel (e.g., grayscale images), but the actual input data being passed to the model has 3 channels (e.g., RGB color images).
To fix this error, you can either modify the model to accept input data with 3 channels, or preprocess the input data to convert it to grayscale (e.g., by taking the average of the RGB channels).
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