PyTorch RuntimeError: Input Channels Mismatch in Convolutional Layer

The error message indicates that there is a mismatch between the number of channels in the input image and the number of channels expected by the convolutional layer. Specifically, the error message states that the input tensor has shape [32, 14, 128, 128], which means it has 14 channels (the second dimension), but the convolutional layer expects an input with 3 channels (the second dimension of the weight tensor is 3).

One possible explanation for this error is that the input images are not being preprocessed correctly or are being loaded with the wrong number of channels. Another possibility is that the model architecture is defined incorrectly and expects a different number of input channels.

To fix this error, you should check the input images and make sure they have the correct number of channels. You should also check the model architecture and make sure it is defined correctly and expects the correct number of input channels.