Download Scripts/run_seq_gpu.sh from FelixOtt/gnss_federated_learning: direct link, hf CLI and curl.
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https://huggingface.co/datasets/FelixOtt/gnss_federated_learning/resolve/main/Scripts/run_seq_gpu.sh
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hf download hf://datasets/FelixOtt/gnss_federated_learning/Scripts/run_seq_gpu.sh
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curl -L -o run_seq_gpu.sh https://huggingface.co/datasets/FelixOtt/gnss_federated_learning/resolve/main/Scripts/run_seq_gpu.sh
606 Bytes
| #SBATCH --nodelist=hpc-gpu-01 | |
| #SBATCH --partition=gpu-short | |
| #SBATCH --nodes=1 | |
| #SBATCH --gres=gpu:tesla:1 | |
| #SBATCH --mem-per-gpu=6000 | |
| #SBATCH --job-name=15mmd_mse# Specify the job name | |
| #SBATCH --output=../logs/15mse_output.log | |
| #SBATCH --error=../logs/15mse_error.log | |
| cd ../Pytorch_federated | |
| # Request specific CPU node | |
| echo "started Training" | |
| # Extract command-line arguments | |
| srun -p gpu -n 1 --gres=gpu:tesla:1 --mem-per-gpu=6000 ~/miniconda3/envs/final_test_env/bin/python server_pytorch.py --method FedAvgM --run_name _mmd_15 --embedding_diff True --epochs 3 --lossfunction MMD --mode True | |