I think it literally means what it says.
Based on your input Tensor’s size, I would venture that you might double check that you are using pytorch’s dimension convention of Batch x Channels x Height x Width. Personally, I usually find the pytorch documentation helpful, it gives details about the dimensions in most layers, e.g. for Conv2d.

It kinda looks like your input tensor might be the wrong size - Conv2d expects a tensor of size (n, k, h, w) where in your case that’s (1, 4, 80, 80) assuming your input is 80x80 and has 4 channels which is what it looks like. I would recommend checking your tensor shape and making sure it’s in the right format

It turns out I was following other stuffs and by the end mix things up a little bit. My input Tensor didnt had size 1 x 4 x 80 x 80, but 1 x 80 x 80 x 4 instead. Thanks a lot