docker/stable-diffusion/launch/run_sdt.sh

#!/bin/bash

RUN_SH=`pwd`/sdt.sh
# Set TRAIN_BATCHES=1000 to add arg "--limit_train_batches 1000" mentioned in
# https://github.com/HabanaAI/Model-References/tree/master/PyTorch/generative_models/stable-diffusion-training#multi-server-training-examples
# It will run full epoch if TRAIN_BATCHES is not set
MPI_MODEL_ENV_VARS=" -x TRAIN_BATCHES=1000 "
CMD="mpirun \
       --tag-output \
       --allow-run-as-root \
       --bind-to none \
       --report-bindings \
       --npernode 1 \
       --hostfile hostsfile \
       -x MASTER_ADDR=$(head -n 1 hostsfile)
       -x LD_PRELOAD=${LD_PRELOAD} \
       -x MODEL_GARDEN_ROOT $MPI_MODEL_ENV_VARS \
       ${RUN_SH};"

echo $CMD
eval $CMD