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sanghyun-son / EDSR-PyTorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
MIT License
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Expecting 4 color channels, but only receiving 3 #239

Closed keitht22 closed 4 years ago

keitht22 commented 4 years ago

File "trainCNNmodel.py", line 358, in outputs = net(inputs) File "/N/u/user/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 541, in call result = self.forward(*input, *kwargs) File "trainCNNmodel.py", line 171, in forward x = self.pool(F.relu(self.conv1(x))) File "/N/u/user/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 541, in call result = self.forward(input, **kwargs) File "/N/u/user/anaconda3/lib/python3.7/site-packages/torch/nn/modules/conv.py", line 345, in forward return self.conv2d_forward(input, self.weight) File "/N/u/user/anaconda3/lib/python3.7/site-packages/torch/nn/modules/conv.py", line 342, in conv2d_forward self.padding, self.dilation, self.groups) RuntimeError: Given groups=1, weight of size 128 4 2 2, expected input[175, 3, 256, 256] to have 4 channels, but got 3 channels instead srun: error: j-071: task 0: Exited with exit code 1

I would really appreciate any help that can be given!! Thank you!