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gnss_federated_learning / Test /test_model.sh

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#!/bin/bash
#SBATCH --partition=gpu  # Specify the CPU partition
#SBATCH --nodes=1
#SBATCH --gres=gpu:tesla:1
#SBATCH --mem-per-gpu=6000
#SBATCH --job-name=9FedAvgM_mseit5# Specify the job name
#SBATCH --output=test_logs/FedAvgM_mseit5_output.log
#SBATCH --error=test_logs/FedAvgM_mseit5_error.log

# Request specific CPU node
echo "started Testing"
# Extract command-line arguments
srun -p gpu -n 1 --gres=gpu:tesla:1 --mem-per-gpu=6000  --pty ~/miniconda3/envs/gpu_flower/bin/python test_raw.py FedAvgM_Emin2_Emax14 9 12

	#!/bin/bash
	#SBATCH --partition=gpu # Specify the CPU partition
	#SBATCH --nodes=1
	#SBATCH --gres=gpu:tesla:1
	#SBATCH --mem-per-gpu=6000
	#SBATCH --job-name=9FedAvgM_mseit5# Specify the job name
	#SBATCH --output=test_logs/FedAvgM_mseit5_output.log
	#SBATCH --error=test_logs/FedAvgM_mseit5_error.log

	# Request specific CPU node
	echo "started Testing"
	# Extract command-line arguments
	srun -p gpu -n 1 --gres=gpu:tesla:1 --mem-per-gpu=6000 --pty ~/miniconda3/envs/gpu_flower/bin/python test_raw.py FedAvgM_Emin2_Emax14 9 12