How to avoid “CUDA out of memory” in PyTorch

Although import torch torch.cuda.empty_cache() provides a good alternative for clearing the occupied cuda memory and we can also manually clear the not in use variables by using, import gc del variables gc.collect() But still after using these commands, the error might appear again because pytorch doesn’t actually clears the memory instead clears the reference to … Read more

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