Output image is the same as input image on Colab as of today?

[rayanarman]

Has some dependency broken GPEN on colab?
Using your unmodified example notebook the input and output images are the same after processing, and no error message is generated.

Is anybody else having the same issue? - It was working just 24 hours ago but I can't see any updates to the code.

Can somebody test the colab (make sure to delete the pre-generated results first) and see if this is not just me?

UPDATE:

This is weird - I think it's something to do with /GPEN/face_model/op/upfirdn2d.cpp and the connected python files. If i run the code with inline python code it has worked, but if i call the script like ... SHELL> python face_enhancement.py , it doesn't compile the cpp and bypasses it in the result generated.

[yangxy]

You can simply load pre-compiled libs by commenting load() and uncommenting upfirdn2d_op = _import_module_from_library('upfirdn2d', '/tmp/torch_extensions/upfirdn2d', True) in upfirdn2d.py. Replace /tmp/torch_extensions/upfirdn2d if necessary.

[rayanarman]

You can simply load pre-compiled libs by commenting load() and uncommenting upfirdn2d_op = _import_module_from_library('upfirdn2d', '/tmp/torch_extensions/upfirdn2d', True) in upfirdn2d.py. Replace /tmp/torch_extensions/upfirdn2d if necessary.

Thanks for the reply! I tried the above but then it cannot find the library at all as the location provided doesn't exist. I think it's a intermittent colab issue with the JIT compliler - it sometimes just hangs. I got it to work in the end by running the compilation scripts separately before hand. Will update here if I have issues again. Thanks again