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[docs] Add more guideline on using ray in slurm cluster (#12819)
Co-authored-by: Sumanth Ratna <sumanthratna@gmail.com> Co-authored-by: PENG Zhenghao <pengzh@ie.cuhk.edu.hk> Co-authored-by: Richard Liaw <rliaw@berkeley.edu>
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co-authored by
Sumanth Ratna
Richard Liaw
parent
d98235cc84
commit
e63da54931
@@ -0,0 +1,65 @@
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#!/bin/bash
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# shellcheck disable=SC2206
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#SBATCH --job-name=test
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#SBATCH --cpus-per-task=5
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#SBATCH --mem-per-cpu=1GB
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#SBATCH --nodes=4
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#SBATCH --tasks-per-node=1
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#SBATCH --time=00:30:00
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set -x
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# __doc_head_address_start__
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# Getting the node names
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nodes=$(scontrol show hostnames "$SLURM_JOB_NODELIST")
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nodes_array=($nodes)
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head_node=${nodes_array[0]}
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head_node_ip=$(srun --nodes=1 --ntasks=1 -w "$head_node" hostname --ip-address)
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# if we detect a space character in the head node IP, we'll
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# convert it to an ipv4 address. This step is optional.
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if [[ "$head_node_ip" == *" "* ]]; then
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IFS=' ' read -ra ADDR <<<"$head_node_ip"
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if [[ ${#ADDR[0]} -gt 16 ]]; then
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head_node_ip=${ADDR[1]}
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else
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head_node_ip=${ADDR[0]}
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fi
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echo "IPV6 address detected. We split the IPV4 address as $head_node_ip"
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fi
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# __doc_head_address_end__
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# __doc_head_ray_start__
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port=6379
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ip_head=$head_node_ip:$port
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export ip_head
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echo "IP Head: $ip_head"
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echo "Starting HEAD at $head_node"
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srun --nodes=1 --ntasks=1 -w "$head_node" \
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ray start --head --node-ip-address="$head_node_ip" --port=$port \
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--num-cpus "${SLURM_CPUS_PER_TASK}" --num-gpus "${SLURM_GPUS_PER_TASK}" --block &
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# __doc_head_ray_end__
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# __doc_worker_ray_start__
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# optional, though may be useful in certain versions of Ray < 1.0.
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sleep 10
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# number of nodes other than the head node
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worker_num=$((SLURM_JOB_NUM_NODES - 1))
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for ((i = 1; i <= worker_num; i++)); do
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node_i=${nodes_array[$i]}
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echo "Starting WORKER $i at $node_i"
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srun --nodes=1 --ntasks=1 -w "$node_i" \
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ray start --address "$ip_head" \
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--num-cpus "${SLURM_CPUS_PER_TASK}" --num-gpus "${SLURM_GPUS_PER_TASK}" --block &
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sleep 5
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done
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# __doc_worker_ray_end__
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# __doc_script_start__
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# ray/doc/source/cluster/examples/simple-trainer.py
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python -u simple-trainer.py
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