#!/bin/sh

#SBATCH --job-name=diff_test	# job name
#SBATCH -p hgx2q 		# partition (queue)
#SBATCH -t 24:00:00 		# time (D-HH:MM)
#SBATCH --nodes=1
#SBATCH -o slurm.%N.%j.out 	# STDOUT
#SBATCH -e slurm.%N.%j.err 	# STDERR
#SBATCH --gres=gpu:1


module load python-3.7.4

# Create env
source ~/miniconda3/etc/profile.d/conda.sh
conda activate polyps

cd /home/machacini/conditional-polyp-diffusion

# Set params.
MODEL_FLAGS="--image_size 256 --num_channels 128 --num_res_blocks 2 --num_heads 1 --learn_sigma True --use_scale_shift_norm False --attention_resolutions 16"
DIFFUSION_FLAGS="--diffusion_steps 1000 --noise_schedule linear --rescale_learned_sigmas False --rescale_timesteps False"
TRAIN_FLAGS="--lr 1e-4 --batch_size 8"

# Train
#export OPENAI_LOGDIR=/home/machacini/conditional-polyp-diffusion/improved-diffusion/models/mask/0
#python improved-diffusion/scripts/image_sample.py --model_path /home/machacini/improved-diffusion/models/mask/ema_0.9999_000000.pt --output png $MODEL_FLAGS $DIFFUSION_FLAGS --num_samples 1000
#export OPENAI_LOGDIR=/home/machacini/conditional-polyp-diffusion/improved-diffusion/models/mask/50
#python improved-diffusion/scripts/image_sample.py --model_path /home/machacini/improved-diffusion/models/mask/ema_0.9999_050000.pt --output png $MODEL_FLAGS $DIFFUSION_FLAGS --num_samples 1000
#export OPENAI_LOGDIR=/home/machacini/conditional-polyp-diffusion/improved-diffusion/models/mask/100
#python improved-diffusion/scripts/image_sample.py --model_path /home/machacini/improved-diffusion/models/mask/ema_0.9999_100000.pt --output png $MODEL_FLAGS $DIFFUSION_FLAGS --num_samples 1000
#export OPENAI_LOGDIR=/home/machacini/conditional-polyp-diffusion/improved-diffusion/models/mask/150
#python improved-diffusion/scripts/image_sample.py --model_path /home/machacini/improved-diffusion/models/mask/ema_0.9999_150000.pt --output png $MODEL_FLAGS $DIFFUSION_FLAGS --num_samples 1000
#export OPENAI_LOGDIR=/home/machacini/conditional-polyp-diffusion/improved-diffusion/models/mask/200
#python improved-diffusion/scripts/image_sample.py --model_path /home/machacini/improved-diffusion/models/mask/ema_0.9999_200000.pt --output png  $MODEL_FLAGS $DIFFUSION_FLAGS --num_samples 1000
export OPENAI_LOGDIR=/home/machacini/conditional-polyp-diffusion/improved-diffusion/models/mask/230
python improved-diffusion/scripts/image_sample.py --model_path /home/machacini/improved-diffusion/models/mask/ema_0.9999_230000.pt --output png  $MODEL_FLAGS $DIFFUSION_FLAGS --num_samples 1000