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jobs/classic.sh
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jobs/classic.sh
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#!/bin/bash
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#SBATCH --gres=gpu:1 #gpu:v100l:1 # https://docs.computecanada.ca/wiki/Using_GPUs_with_Slurm
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#SBATCH --cpus-per-task=6 #6 (V100:8) # 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=8:00:00
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#SBATCH --job-name=Classic-WRN50_2-TinyImageNet
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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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-m wide_resnet50_2 \
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-ep 40 \
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-pt true \
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-pf __pretrained
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