Merge branch 'master' of https://github.com/NAG-DevOps/speed-hpc

src/efficientdet.sh

@@ -0,0 +1,40 @@
+#!/encs/bin/tcsh
+
+##
+## This script was submitted by a member of Dr. Amer's Research Group
+##
+
+##
+## Prerequisite: 
+##  Efficientdet Virtual Environment (see commit comments)
+##
+
+##
+## Job Scheduler options 
+##
+
+#$ -N efficientdet_pascal
+#$ -cwd      
+#$ -pe smp 8
+#$ -l h_vmem=128G
+#$ -l gpu=2
+
+cd /speed-scratch/<encs_username>
+
+module load python/3.8.3
+module load cuda/11.5
+source envs/tf/bin/activate.csh
+
+cd code/automl/efficientdet
+
+python3 main.py --mode=train_and_eval \
+    --train_file_pattern=tfrecord/'pascal-*-of-00100.tfrecord' \
+    --val_file_pattern=tfrecord/'val-*-of-00032.tfrecord' \
+    --model_name='efficientdet-d0' \
+    --model_dir=model_path  \
+    --backbone_ckpt='efficientnet-b0' \
+    --train_batch_size=4 \
+    --eval_batch_size=4 --eval_samples=4952  \
+    --num_examples_per_epoch=16551  --num_epochs=300  \
+    --hparams="num_classes=20,moving_average_decay=0,mixed_precision=true" \
+    --strategy='gpus'

src/lambdal-singularity.sh

@@ -13,7 +13,7 @@
 #$ -cwd
 
 # How many GPUs (currently limit is set 2 max for Speed 5 and 17)
-#$-l gpu=2
+#$ -l gpu=2
 
 # High value of memory requeted
 #$ -l h_vmem=20G