Changes since Teledyne

jobs/imageNet_job.sh

@@ -0,0 +1,37 @@
+#!/bin/bash
+#SBATCH --gres=gpu:v100l:1    # https://docs.computecanada.ca/wiki/Using_GPUs_with_Slurm
+#SBATCH --cpus-per-task=6  # Cores proportional to GPUs: 6 on Cedar, 16 on Graham.
+#SBATCH --mem=32000M       # Memory proportional to GPUs: 32000 Cedar, 64000 Graham.
+#SBATCH --account=def-mpederso
+#SBATCH --time=300:00:00
+#SBATCH --job-name=imageNet-RandAug-ResNet18
+#SBATCH --output=log/%x-%j.out
+#SBATCH --mail-user=harle.collette.antoine@gmail.com
+#SBATCH --mail-type=END
+#SBATCH --mail-type=FAIL
+
+#ImageNet Extract
+echo "Extracting ImageNet..."
+mkdir $SLURM_TMPDIR/data
+time tar -xf ~/projects/def-mpederso/dataset/imagenet/imagenet.tar -C $SLURM_TMPDIR/data
+
+echo "Executing code..."
+# Setup
+source ~/dataug/bin/activate
+
+#Execute
+# echo $(pwd) = /home/antoh/projects/def-mpederso/antoh/smart_augmentation/jobs
+cd ../higher/smart_aug/
+
+time python test_dataug.py \
+    -a true \
+    -m resnet18 \
+    -ep 40 \
+    -K 0 \
+    -N 3 \
+    -tfc ../config/invScale_wide_tf_config.json \
+    -dr $SLURM_TMPDIR/data \
+    -ds ImageNet \
+    -al 10 \
+    -pt true \
+    -pf __pretrained_AL10