Comments (5)
solved by adding "os.environ["FORCE_MEM_EFFICIENT_ATTN"] = "1""
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对我有用,赞
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hi,I got the same error, my error code is as follows,
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 16.00 GiB (GPU 0; 23.99 GiB total capacity; 17.99 GiB already allocated; 3.23 GiB free; 18.43 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
After seeing your solution, I don't know where to set this parameter? Can you tell me? Thanks @realcarlos
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大哥,我点开你的主页发现你也在北京,我直接
目前看好像可以了。
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I have the same problem using the 3090. Although I set the ""os.environ["FORCE_MEM_EFFICIENT_ATTN"] = "1""", I still have the problem. Do you also use the 3090 with the 24GB?
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