Hi, if you’re still interested:
https://discuss.pytorch.org/t/transfer-learning-how-to-modify-the-first-conv2d-layer-of-alexnet-to-accomodate-for-9-channel-input/4063
I’m currently trying it now to make it use for medical images that may have 18 slices thus 18 channels of grayscale images.