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jobs/randaug.sh
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jobs/randaug.sh
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#!/bin/bash
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#SBATCH --gres=gpu:1 #v100l:1 # https://docs.computecanada.ca/wiki/Using_GPUs_with_Slurm
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#SBATCH --cpus-per-task=6 #6 # Cores proportional to GPUs: 6 on Cedar, 16 on Graham.
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#SBATCH --mem=32000M #32000M # Memory proportional to CPUs: 32000 Cedar, 64000 Graham.
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#SBATCH --account=def-mpederso
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#SBATCH --time=10:00:00
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#SBATCH --job-name=RandAug-ResNet18
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#SBATCH --output=log/%x-%j.out
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#SBATCH --mail-user=harle.collette.antoine@gmail.com
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#SBATCH --mail-type=END
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#SBATCH --mail-type=FAIL
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# Setup
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source ~/dataug/bin/activate
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#Execute
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# echo $(pwd) = /home/antoh/projects/def-mpederso/antoh/smart_augmentation/jobs
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cd ../higher/smart_aug/
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python test_dataug.py \
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-a true \
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-m resnet18 \
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-ep 200 \
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-K 0 \
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-N 3 \
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-tfc ../config/invScale_wide_tf_config.json \
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-ds CIFAR10 \
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-al 10 \
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-dt FP16 \
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-pf __AL10_FP16
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