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Sep 16, 2022 · the max_split_size_mb configuration value can be set as an environment variable. The exact syntax is documented , but in short: The behavior of caching allocator can be controlled via environment variable pytorch_cuda_alloc_conf.
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Dec 1, 2019 · import os os. environ[pytorch_cuda_alloc_conf] = max_split_size_mb:1024 here you can adjust 1024 to a desired size. I adjusted the size of the images i was introducing to the network, in the dataset class,. Oct 28, 2022 · tried to allocate 35. 60 gib (gpu 0; 39. 59 gib total capacity;
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7. 00 gib already allocated; 7. 24 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 Aug 12, 2023 · pytorch_cuda_alloc_conf=garbage_collection_threshold:0. 9,max_split_size_mb:512 which works at the current settings to pytorch_cuda_alloc_conf=backend:cudamallocasync and i ended up getting this:. Jun 15, 2022 · tried to allocate 24. 00 mib (gpu 0;
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