run python3 test.py --config_path ./configs/test/SRGAN_x4-SRGAN_ImageNet-Set5.yaml
error:
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 1579.66 GiB (GPU 0; 79.35 GiB total capacity; 21.76 GiB already allocated; 54.55 GiB free; 23.29 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
run python3 test.py --config_path ./configs/test/SRGAN_x4-SRGAN_ImageNet-Set5.yaml error: torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 1579.66 GiB (GPU 0; 79.35 GiB total capacity; 21.76 GiB already allocated; 54.55 GiB free; 23.29 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