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When I tried python infer.py --config config.yaml data.image_list=[example_images/a_pikachu_with_smily_face.webp,], I got RuntimeError: CUDA out of memory. Tried to allocate 288.00 MiB (GPU 0; 9.78 GiB total capacity; 6.76 GiB already allocated; 100.56 MiB free; 6.94 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.
The text was updated successfully, but these errors were encountered:
When I tried
python infer.py --config config.yaml data.image_list=[example_images/a_pikachu_with_smily_face.webp,]
, I gotRuntimeError: CUDA out of memory. Tried to allocate 288.00 MiB (GPU 0; 9.78 GiB total capacity; 6.76 GiB already allocated; 100.56 MiB free; 6.94 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
.The text was updated successfully, but these errors were encountered: