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fix: Explicitly load checkpoint to CPU to avoid CUDA error #219

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merged 1 commit into from
Mar 3, 2025
Merged

fix: Explicitly load checkpoint to CPU to avoid CUDA error #219

merged 1 commit into from
Mar 3, 2025

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gau-nernst
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The checkpoint was serialized directly from CUDA tensors. Hence, by default, torch.load() will attempt to reload the weights to CUDA, even if CUDA is not available e.g. CPU-only machines.

Without this fix, on my macbook, I'm getting this error

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.

This PR fixes it.

@gau-nernst gau-nernst requested a review from tuanlda78202 March 3, 2025 03:54
tuanlda78202
tuanlda78202 approved these changes Mar 3, 2025
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lgtm!

@gau-nernst gau-nernst merged commit 02e2f79 into main Mar 3, 2025
@gau-nernst gau-nernst deleted the fix/load_model_on_cpu branch March 3, 2025 04:11
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@tuanlda78202 tuanlda78202 tuanlda78202 approved these changes

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