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Running Demo.ipynb yields runtime error at line: prediction = torch.sigmoid(model(input_img)).data[0].cpu().numpy()
RuntimeError: Given groups=1, weight of size [64, 11, 3, 3], expected input[1, 6 72, 672, 11] to have 11 channels, but got 672 channels instead
Running: python3/3.6.7 pytorch/0.4.1-py36 cuda/9.0 gcc/4.9.0 opencv-python/3.4.4 numpy/1.15.4
Any suggestions appreciated.
The text was updated successfully, but these errors were encountered:
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Running Demo.ipynb yields runtime error at line:
prediction = torch.sigmoid(model(input_img)).data[0].cpu().numpy()
RuntimeError: Given groups=1, weight of size [64, 11, 3, 3], expected input[1, 6
72, 672, 11] to have 11 channels, but got 672 channels instead
Running:
python3/3.6.7
pytorch/0.4.1-py36
cuda/9.0
gcc/4.9.0
opencv-python/3.4.4
numpy/1.15.4
Any suggestions appreciated.
The text was updated successfully, but these errors were encountered: