#!/bin/bash #SBATCH --gres=gpu:1 #gpu:v100l:1 # https://docs.computecanada.ca/wiki/Using_GPUs_with_Slurm #SBATCH --cpus-per-task=6 #6 (V100:8) # Cores proportional to GPUs: 6 on Cedar, 16 on Graham. #SBATCH --mem=32000M #32000M # Memory proportional to CPUs: 32000 Cedar, 64000 Graham. #SBATCH --account=def-mpederso #SBATCH --time=8:00:00 #SBATCH --job-name=Classic-WRN50_2-TinyImageNet #SBATCH --output=log/%x-%j.out #SBATCH --mail-user=harle.collette.antoine@gmail.com #SBATCH --mail-type=END #SBATCH --mail-type=FAIL # Setup source ~/dataug/bin/activate #Execute # echo $(pwd) = /home/antoh/projects/def-mpederso/antoh/smart_augmentation/jobs cd ../higher/smart_aug/ python test_dataug.py \ -m wide_resnet50_2 \ -ep 40 \ -pt true \ -pf __pretrained