Update slurm script to include adversary model

This commit is contained in:
Yin Li 2020-01-21 12:44:46 -05:00
parent 94ce018cb8
commit 6e06682751
5 changed files with 23 additions and 19 deletions

View file

@ -13,11 +13,11 @@
hostname; pwd; date
module load gcc python3
#module load gcc python3
source $HOME/anaconda/bin/activate torch
export OMP_NUM_THREADS=$SLURM_CPUS_ON_NODE
echo OMP_NUM_THREADS = $OMP_NUM_THREADS
data_root_dir="/mnt/ceph/users/yinli/Quijote"
@ -35,7 +35,7 @@ tgt_files="$files"
m2m.py test \
--test-in-patterns "$data_root_dir/$in_dir/$test_dirs/$in_files" \
--test-tgt-patterns "$data_root_dir/$tgt_dir/$test_dirs/$tgt_files" \
--norms cosmology.dis --crop 256 --pad 42 \
--norms cosmology.dis --crop 256 --pad 20 \
--model VNet \
--load-state best_model.pth \
--batches 1 --loader-workers 0 \

View file

@ -14,11 +14,12 @@
hostname; pwd; date
module load gcc python3
#module load gcc python3
source $HOME/anaconda/bin/activate torch
export MASTER_ADDR=$HOSTNAME
export MASTER_PORT=8888
export MASTER_PORT=60606
data_root_dir="/mnt/ceph/users/yinli/Quijote"
@ -39,9 +40,10 @@ srun m2m.py train \
--train-tgt-patterns "$data_root_dir/$tgt_dir/$train_dirs/$tgt_files" \
--val-in-patterns "$data_root_dir/$in_dir/$val_dirs/$in_files" \
--val-tgt-patterns "$data_root_dir/$tgt_dir/$val_dirs/$tgt_files" \
--norms cosmology.dis --augment --crop 100 --pad 42 \
--model VNet \
--epochs 128 --lr 0.001 --batches 1 --loader-workers 0 --seed $RANDOM \
--norms cosmology.dis --augment --crop 128 --pad 20 \
--model VNet --adv-model UNet --cgan \
--lr 0.0001 --adv-lr 0.0004 --batches 1 --loader-workers 0 \
--epochs 128 --seed $RANDOM \
--cache --div-data
# --load-state checkpoint.pth \

View file

@ -13,11 +13,11 @@
hostname; pwd; date
module load gcc python3
#module load gcc python3
source $HOME/anaconda/bin/activate torch
export OMP_NUM_THREADS=$SLURM_CPUS_ON_NODE
echo OMP_NUM_THREADS = $OMP_NUM_THREADS
data_root_dir="/mnt/ceph/users/yinli/Quijote"
@ -35,7 +35,7 @@ tgt_files="$files"
m2m.py test \
--test-in-patterns "$data_root_dir/$in_dir/$test_dirs/$in_files" \
--test-tgt-patterns "$data_root_dir/$tgt_dir/$test_dirs/$tgt_files" \
--norms cosmology.vel --crop 256 --pad 42 \
--norms cosmology.vel --crop 256 --pad 20 \
--model VNet \
--load-state best_model.pth \
--batches 1 --loader-workers 0 \

View file

@ -14,11 +14,12 @@
hostname; pwd; date
module load gcc python3
#module load gcc python3
source $HOME/anaconda/bin/activate torch
export MASTER_ADDR=$HOSTNAME
export MASTER_PORT=8888
export MASTER_PORT=60606
data_root_dir="/mnt/ceph/users/yinli/Quijote"
@ -39,9 +40,10 @@ srun m2m.py train \
--train-tgt-patterns "$data_root_dir/$tgt_dir/$train_dirs/$tgt_files" \
--val-in-patterns "$data_root_dir/$in_dir/$val_dirs/$in_files" \
--val-tgt-patterns "$data_root_dir/$tgt_dir/$val_dirs/$tgt_files" \
--norms cosmology.vel --augment --crop 100 --pad 42 \
--model VNet \
--epochs 128 --lr 0.001 --batches 1 --loader-workers 0 --seed $RANDOM \
--norms cosmology.vel --augment --crop 128 --pad 20 \
--model VNet --adv-model UNet --cgan \
--lr 0.0001 --adv-lr 0.0004 --batches 1 --loader-workers 0 \
--epochs 128 --seed $RANDOM \
--cache --div-data
# --load-state checkpoint.pth \