gpu2_dilated_profiling.slurm

#!/bin/bash
#SBATCH --partition=gpu2
#SBATCH --job-name=dilated_TVMquick
#SBATCH --mail-type=FAIL
#SBATCH --mail-user=s0144002@msx.tu-dresden.de
#SBATCH --ntasks=1
#SBATCH --cpus-per-task=8
#SBATCH --gres=gpu:1
#SBATCH --mem-per-cpu=3000
#SBATCH --time=24:00:00
#SBATCH --output=template_runner_gpu2_dilated_%j.log
pwd; hostname; date

echo "Running TVM dilated_conv2d grid search profiler on $SLURM_CPUS_ON_NODE CPU cores"
echo ""
echo "Date              = $(date)"
echo "Hostname          = $(hostname -s)"
echo "Working Directory = $(pwd)"

module load CUDA/11.1.1 LLVM/11.0.0 CMake/3.18.4-GCCcore-10.2.0 Python/3.8.6
source ~/DIR/ssd/s0144002-TVMMapper/python_envs/gpu2/bin/activate

export TVM_HOME=/home/s0144002/tvm_gpu2_power
export PYTHONPATH=$TVM_HOME/python:${PYTHONPATH}

export PAPI_CUDA_ROOT=$CUDA_ROOT

cd ~/DIR/ssd/s0144002-TVMMapper/TVM_Profiler
python3 template_profiling.py -t gpu2 -w dilated_conv2d