Face-Super-Resolution
Face-Super-Resolution copied to clipboard
mat1 dim 1 must match mat2 dim 0
hi @ewrfcas there is NO error if I decrease the image size in train.py
If I change lr_height, lr_width and hr_height, hr_width
in data_loader.py
to my input size it's giving me the error.
But it's working fine with default sizes. what I am missing here
the error is
ret = torch.addmm(bias, input, weight.t())
RuntimeError: mat1 dim 1 must match mat2 dim 0
Which line does it happens? However, if you use the input size different from the default size, you need to retrain the model.