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I am using 8 GPUs instance but the script uses only GPU:0 not all the GPUs . I get CUDA memory error when i try to make clip_guidance ofViT-L/14 model. How can i utilize all GPUs so i don't have any limitation ?
The text was updated successfully, but these errors were encountered:
Thanks a lot for your response .
But it's also rises the same error when putting --cpu argument and changing the tensor inside the script is not - as i tried - only in sample.py , i should change things in other files . This is a little bit exhausting :)
I am using 8 GPUs instance but the script uses only GPU:0 not all the GPUs . I get CUDA memory error when i try to make clip_guidance ofViT-L/14 model. How can i utilize all GPUs so i don't have any limitation ?
The text was updated successfully, but these errors were encountered: