ray_template/deployment_scripts/submit-ray-job.sh

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#!/bin/bash
#PBS -N output-ray-job
#PBS -l select=2:node_type=rome-ai
#PBS -l walltime=1:00:00
export JOB_SCRIPT=modeling_evaluation.py
export WS_DIR=/lustre/hpe/ws10/ws10.3/ws/hpckkaya-ifu
export ENV_ARCHIVE=ray-environment-v0.3.tar.gz
export SRC_DIR=$WS_DIR/ifu/src/ray-workflow
export DATA_DIR=/lustre/hpe/ws10/ws10.3/ws/hpckkaya-ifu-data/hpclzhon-ifu_data-1668830707
export RESULTS_DIR=$WS_DIR/ray_results
export NCCL_DEBUG=INFO
# Environment variables after this line should not change
export PYTHON_FILE=$SRC_DIR/$JOB_SCRIPT
export ENV_PATH=/run/user/$PBS_JOBID/ray_env
mkdir -p $ENV_PATH
tar -xzf $WS_DIR/$ENV_ARCHIVE -C $ENV_PATH
source $ENV_PATH/bin/activate
conda-unpack
export IP_ADDRESS=`ip addr show ib0 | grep -oP '(?<=inet\s)\d+(\.\d+){3}' | awk '{print $1}'`
export RAY_ADDRESS=$IP_ADDRESS:6379
export REDIS_PASSWORD=$(uuidgen)
# export RAY_scheduler_spread_threshold=0.0
export OBJECT_STORE_MEMORY=128000000000
ray start --disable-usage-stats \
--head \
--node-ip-address=$IP_ADDRESS \
--port=6379 \
--dashboard-host=127.0.0.1 \
--redis-password=$REDIS_PASSWORD \
--object-store-memory=$OBJECT_STORE_MEMORY
export NUM_NODES=$(sort $PBS_NODEFILE |uniq | wc -l)
for ((i=1;i<$NUM_NODES;i++)); do
pbsdsh -n $i -- bash -l -c "'$SRC_DIR/ray-start-worker.sh' '$WS_DIR' '$ENV_ARCHIVE' '$RAY_ADDRESS' '$REDIS_PASSWORD' '$OBJECT_STORE_MEMORY'" &
done
# uncomment if you don't already control inside the code
# if [[ $NUM_NODES -gt 1 ]]
# then
# sleep 90
#fi
python3 $PYTHON_FILE
ray stop
rm -rf $ENV_PATH