34 lines
910 B
Bash
34 lines
910 B
Bash
#!/bin/sh
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#SBATCH -N 1
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#SBATCH -n 1
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#SBATCH --partition=Teach-Standard
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#SBATCH --gres=gpu:4
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#SBATCH --mem=24000
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#SBATCH --time=3-00:00:00
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set -e
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export CUDA_HOME=/opt/cuda-9.0.176.1/
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export CUDNN_HOME=/opt/cuDNN-7.0/
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export STUDENT_ID=$(whoami)
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export LD_LIBRARY_PATH=${CUDNN_HOME}/lib64:${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
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export LIBRARY_PATH=${CUDNN_HOME}/lib64:${LIBRARY_PATH}
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export CPATH=${CUDNN_HOME}/include:$CPATH
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export PATH=${CUDA_HOME}/bin:${PATH}
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export PYTHON_PATH=$PATH
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mkdir -p /disk/scratch/${STUDENT_ID}
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export TMPDIR=/disk/scratch/${STUDENT_ID}/
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export TMP=/disk/scratch/${STUDENT_ID}/
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source /home/${STUDENT_ID}/miniconda3/bin/activate mlp-cuda
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python train.py \
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--pth_tar './pretrained/deit_base_patch16_384-8de9b5d1.pth' \
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--train_dataset 'ShanghaiB' \
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--save_path ./save/ShanghaiB-base-$(date -Iminutes) \
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--batch_size 4 \
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--gpus 0,1,2,3 \
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--print_freq 100 \
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--epochs 1000
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