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#!/bin/bash |
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cd ${MODEL_GARDEN_ROOT}/PyTorch/generative_models/stable-diffusion-training/ |
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git config --global --add safe.directory `pwd`/src/taming-transformers |
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git config --global --add safe.directory `pwd`/src/clip |
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pip install -r requirements.txt |
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export PYTHONPATH=`pwd`/src/taming-transformers:$PYTHONPATH |
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export CKPT_PATH=/software/lfs/data/pytorch/stable-diffusion/model.ckpt |
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if [ -z ${OMPI_COMM_WORLD_SIZE} ]; then WORLD_SIZE=${WORLD_SIZE:-1}; else WORLD_SIZE=${OMPI_COMM_WORLD_SIZE}; fi |
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if [ -z ${OMPI_COMM_WORLD_RANK} ]; then NODE_RANK=${NODE_RANK:-0}; else NODE_RANK=${OMPI_COMM_WORLD_RANK}; fi |
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hostname |
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ulimit -n $(ulimit -aH|grep "open file" |tr -s ' '|cut -d ' ' -f 4) |
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echo ===SOFT LIMIT=== |
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ulimit -a |
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echo ===HARD LIMIT=== |
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ulimit -aH |
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echo ========== |
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export NODE_RANK=${NODE_RANK} |
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BATCH_SIZE=${BATCH_SIZE:-8} |
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HPU_GRAPH=${HPU_GRAPH:-True} |
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TRAIN_EPOCHS=${TRAIN_EPOCHS:-10} |
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if [ ! -z ${TRAIN_BATCHES} ]; then |
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LIMIT_TRAIN_BATCHES="--limit_train_batches ${TRAIN_BATCHES}" |
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fi |
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for v in $(printenv |grep OMPI | cut -d '=' -f 1); do |
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unset $v |
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echo unset $v |
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done |
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CMD="python main.py \ |
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--base hpu_config_web_dataset.yaml \ |
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--train \ |
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--scale_lr False \ |
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--seed 0 \ |
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--hpus 8 \ |
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--batch_size ${BATCH_SIZE} \ |
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--use_lazy_mode True \ |
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--hmp \ |
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--no-test True \ |
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--max_epochs ${TRAIN_EPOCHS} \ |
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${LIMIT_TRAIN_BATCHES} \ |
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--limit_val_batches 0 \ |
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--hpu_graph ${HPU_GRAPH} \ |
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--ckpt_path=${CKPT_PATH} \ |
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--num_nodes ${WORLD_SIZE}" |
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echo $CMD |
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eval $CMD |
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