wehub-resource-sync
46 lines
1.4 KiB
Bash
46 lines
1.4 KiB
Bash
#!/bin/bash
|
|
# shellcheck disable=SC2206
|
|
#SBATCH --job-name=test
|
|
#SBATCH --cpus-per-task=5
|
|
#SBATCH --mem-per-cpu=1GB
|
|
#SBATCH --nodes=4
|
|
#SBATCH --tasks-per-node=1
|
|
#SBATCH --time=00:30:00
|
|
|
|
set -x
|
|
|
|
# __doc_head_address_start__
|
|
|
|
# Getting the node names
|
|
nodes=$(scontrol show hostnames "$SLURM_JOB_NODELIST")
|
|
nodes_array=($nodes)
|
|
|
|
head_node=${nodes_array[0]}
|
|
|
|
port=6379
|
|
ip_head=$head_node:$port
|
|
export ip_head
|
|
echo "IP Head: $ip_head"
|
|
# __doc_head_address_end__
|
|
|
|
# __doc_symmetric_run_start__
|
|
# Start Ray cluster using symmetric_run.py on all nodes.
|
|
# Symmetric run will automatically start Ray on all nodes and run the script ONLY the head node.
|
|
# Use the '--' separator to separate Ray arguments and the entrypoint command.
|
|
# The --min-nodes argument ensures all nodes join before running the script.
|
|
|
|
# All nodes (including head and workers) will execute this block.
|
|
# The entrypoint (simple-trainer.py) will only run on the head node.
|
|
srun --nodes="$SLURM_JOB_NUM_NODES" --ntasks="$SLURM_JOB_NUM_NODES" \
|
|
ray symmetric-run \
|
|
--address "$ip_head" \
|
|
--min-nodes "$SLURM_JOB_NUM_NODES" \
|
|
--num-cpus="${SLURM_CPUS_PER_TASK}" \
|
|
--num-gpus="${SLURM_GPUS_PER_TASK}" \
|
|
-- \
|
|
python -u simple-trainer.py "$SLURM_CPUS_PER_TASK"
|
|
# __doc_symmetric_run_end__
|
|
|
|
# __doc_script_start__
|
|
# The entrypoint script (simple-trainer.py) will be run on the head node by symmetric_run.
|