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UnetMobV2Class().load_from_checkpoint only works in CUDA environment, not in CPU only environment #2

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MarcelCode opened this issue Jul 5, 2023 · 0 comments

MarcelCode commented Jul 5, 2023 •

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I am currently working on a docker for interference running on CPU only

When using the model UnetMobV2, I am getting the following error in library/unetmobv2.py model_setup:

RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.

I already found a solution how to solve the problem and would like to help making the library better :-)

map_location = None if torch.cuda.is_available() else torch.device('cpu')
model = UnetMobV2Class().load_from_checkpoint(filename.as_posix(), map_location=map_location)

I created a PR :-)

Thanks for your great work!

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