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Bug - Setting "offload_to_cpu" to True causes Error #105

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Angel996 opened this issue Jan 18, 2025 · 1 comment

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Angel996 commented Jan 18, 2025 •

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If offload_to_cpu parameter is TRUE and torch.cuda.is_available()==false, the script throws an error msg:

"TypeError '<' not supported between instances of 'NoneType' and 'int'

The error is caused by line 282 in inference.py:

offload_to_cpu = False if not args.offload_to_cpu else get_total_gpu_memory() < 30

To fix this, get_total_gpu_memory() should probably return 0 instead of None if CUDA is not available.

The text was updated successfully, but these errors were encountered:

Collaborator

yoavhacohen commented Jan 21, 2025

Thanks for reporting this issue. We will fix this.

yoavhacohen self-assigned this

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