34 lines
1.3 KiB
Bash
34 lines
1.3 KiB
Bash
|
#!/bin/bash
|
||
|
|
|
||
|
|
# mpi version for node rank
|
||
|
|
H=`hostname`
|
||
|
|
THEID=`echo -e $HOSTNAMES | python3 -c "import sys;[sys.stdout.write(str(i)) for i,line in enumerate(next(sys.stdin).split(' ')) if line.strip() == '$H'.strip()]"`
|
||
|
|
export NODE_RANK=${THEID}
|
||
|
|
echo THEID=$THEID
|
||
|
|
|
||
|
|
echo "##########################################"
|
||
|
|
echo MASTER_ADDR=${MASTER_ADDR}
|
||
|
|
echo MASTER_PORT=${MASTER_PORT}
|
||
|
|
echo NODE_RANK=${NODE_RANK}
|
||
|
|
echo WORLD_SIZE=${WORLD_SIZE}
|
||
|
|
echo "##########################################"
|
||
|
|
# debug environment worked great so we stick with it
|
||
|
|
# no magic there, just a miniconda python=3.9, pytorch=1.12, cudatoolkit=11.3
|
||
|
|
# env with pip dependencies from stable diffusion's requirements.txt
|
||
|
|
eval "$(/fsx/stable-diffusion/debug/miniconda3/bin/conda shell.bash hook)"
|
||
|
|
conda activate stable
|
||
|
|
cd /fsx/stable-diffusion/stable-diffusion
|
||
|
|
|
||
|
|
CONFIG=configs/stable-diffusion/v3_pretraining.yaml
|
||
|
|
|
||
|
|
# resume and set new seed to reshuffle data
|
||
|
|
EXTRA="--seed 714 model.params.ckpt_path=/fsx/stable-diffusion/stable-diffusion/rlogs/2022-07-11T22-57-10_txt2img-v2-clip-encoder-improved_aesthetics-256/checkpoints/last.ckpt"
|
||
|
|
|
||
|
|
# custom logdir
|
||
|
|
#EXTRA="${EXTRA} --logdir rlogs"
|
||
|
|
|
||
|
|
# debugging
|
||
|
|
#EXTRA="${EXTRA} -d True lightning.callbacks.image_logger.params.batch_frequency=50"
|
||
|
|
|
||
|
|
python main.py --base $CONFIG --gpus 0,1,2,3,4,5,6,7 -t --num_nodes ${WORLD_SIZE} --scale_lr False $EXTRA
|