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InternalError (see above for traceback): Blas SGEMM launch failed : m=131072, n=16, k=16

I ran the command "scripts/run_local.sh nets/resnet_at_cifar10_run.py --learner channel --cp_prune_option list" There was a process in GPU:0 before I ran this command. I checked the GPU states by "Nvidia -smi", so...

CUDA out of memory

python train.py --gpu-id 0 --loss Proxy_Anchor --model r esnet50 --embedding-size 512 --batch-size 180 --lr 6e-4 --dataset SOP --warm 1 --bn-freeze 0 --lr-decay-step 20 --lr-dec ay-gamma 0.25 wandb: Currently logged in...