mlp-project/_ShanghaiA-train.sh
Zhengyi Chen ab15419d2f Debug
2024-03-03 19:40:22 +00:00

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#!/bin/sh
#SBATCH -N 1
#SBATCH -n 1
#SBATCH --partition=Teach-Standard
#SBATCH --gres=gpu:6
#SBATCH --mem=24000
#SBATCH --time=3-00:00:00
export CUDA_HOME=/opt/cuda-9.0.176.1/
export CUDNN_HOME=/opt/cuDNN-7.0/
export STUDENT_ID=$(whoami)
export LD_LIBRARY_PATH=${CUDNN_HOME}/lib64:${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
export LIBRARY_PATH=${CUDNN_HOME}/lib64:${LIBRARY_PATH}
export CPATH=${CUDNN_HOME}/include:$CPATH
export PATH=${CUDA_HOME}/bin:${PATH}
export PYTHON_PATH=$PATH
mkdir -p /disk/scratch/${STUDENT_ID}
export TMPDIR=/disk/scratch/${STUDENT_ID}/
export TMP=/disk/scratch/${STUDENT_ID}/
source /home/${STUDENT_ID}/miniconda3/bin/activate mlp-cuda
python train.py \
--model='stn' \
--save_path ./save_file/ShanghaiA \
--batch_size 4 \
--gpus 0,1,2,3,4,5 \