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dask-setup.sh
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dask-setup.sh
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#!/bin/bash
export NCCL_P2P_DISABLE=1
export DASK_DISTRIBUTED__SCHEDULER__WORK_STEALING=False
export DASK_DISTRIBUTED__SCHEDULER__BANDWIDTH=1
ENVNAME=$1
ARCH=$2
NWORKERS=$3
DASK_SCHED_PORT=$4
DASK_SCHED_BOKEH_PORT=$5
DASK_WORKER_BOKEH_PORT=$6
MASTER_IPADDR=$7
WHOAMI=$8
LOG=$9
DASK_LOCAL_DIR=${DASK_LOCAL_DIR:-./.dask}
NUM_GPUS=$(nvidia-smi --list-gpus | wc --lines)
MY_IPADDR=($(hostname --all-ip-addresses))
mkdir -p $DASK_LOCAL_DIR
echo -e "\n"
echo "shutting down current dask cluster if it exists..."
NUM_SCREENS=$(screen -list | grep --only-matching --extended-regexp '[0-9]\ Socket|[0-9]{1,10}\ Sockets' | grep --only-matching --extended-regexp '[0-9]{1,10}')
SCREENS=($(screen -list | grep --only-matching --extended-regexp '[0-9]{1,10}\.dask|[0-9]{1,10}\.cpu|[0-9]{1,10}\.gpu' | grep --only-matching --extended-regexp '[0-9]{1,10}'))
if [[ "$NUM_SCREENS" != "" ]]; then
screen -wipe
for screen_id in $(seq 1 $NUM_SCREENS)
do
index=$screen_id-1
echo ${SCREENS[$index]}
screen -S ${SCREENS[$index]} -X quit
done
fi
echo "... cluster shut down"
echo -e "\n"
if [[ "$ARCH" = "GPU" ]]; then
if [[ "$NWORKERS" -ge "$NUM_GPUS" ]]; then
echo -e "\n"
echo "[error] the number of workers must be less than or equal to the number of GPUs"
echo -e "\n"
fi
if [[ "0" -lt "$NWORKERS" ]] && [[ "$NWORKERS" -le "$NUM_GPUS" ]]; then
if [[ "$WHOAMI" = "MASTER" ]]; then
echo "initializing dask scheduler..."
screen -dmS dask_scheduler bash -c "source activate $ENVNAME && dask-scheduler"
sleep 5
echo "... scheduler started"
fi
echo -e "\n"
echo "starting $NWORKERS worker(s)..."
for worker_id in $(seq 1 $NWORKERS)
do
start=$(( worker_id - 1 ))
end=$(( NWORKERS - 1 ))
other=$(( start - 1 ))
devs=$(seq --separator=, $start $end)
second=$(seq --separator=, 0 $other)
if [[ "$second" != "" ]]; then
devs="$devs,$second"
fi
echo "... starting gpu worker $worker_id"
if [[ "$LOG" = "DEBUG" ]]; then
export NCCL_DEBUG=WARN
export create_worker="source activate $ENVNAME && \
cuda-memcheck dask-worker $MASTER_IPADDR:$DASK_SCHED_PORT \
--host=${MY_IPADDR[0]} --no-nanny \
--nprocs=1 --nthreads=1 \
--memory-limit=0 --name ${MY_IPADDR[0]}_gpu_$worker_id \
--local-directory $DASK_LOCAL_DIR/$name"
export logfile="${DASK_LOCAL_DIR}/${MY_IPADDR[0]}_gpu_${worker_id}_log.txt"
env CUDA_VISIBLE_DEVICES=$devs screen -dmS gpu_worker_$worker_id \
bash -c 'script --flush --command "$create_worker" "$logfile"'
elif [[ "$LOG" = "INFO" ]]; then
export NCCL_DEBUG=INFO
export create_worker="source activate $ENVNAME && \
dask-worker $MASTER_IPADDR:$DASK_SCHED_PORT \
--host=${MY_IPADDR[0]} --no-nanny \
--nprocs=1 --nthreads=1 \
--memory-limit=0 --name ${MY_IPADDR[0]}_gpu_$worker_id \
--local-directory $DASK_LOCAL_DIR/$name"
export logfile="${DASK_LOCAL_DIR}/${MY_IPADDR[0]}_gpu_${worker_id}_log.txt"
env CUDA_VISIBLE_DEVICES=$devs screen -dmS gpu_worker_$worker_id \
bash -c 'script --flush --command "$create_worker" "$logfile"'
else
export create_worker="source activate $ENVNAME && \
dask-worker $MASTER_IPADDR:$DASK_SCHED_PORT \
--host=${MY_IPADDR[0]} --no-nanny \
--nprocs=1 --nthreads=1 \
--memory-limit=0 --name ${MY_IPADDR[0]}_gpu_$worker_id \
--local-directory $DASK_LOCAL_DIR/$name"
env CUDA_VISIBLE_DEVICES=$devs screen -dmS gpu_worker_$worker_id \
bash -c "$create_worker"
fi
done
fi
fi
if [[ "$ARCH" = "CPU" ]]; then
if [[ "0" -le "$NWORKERS" ]]; then
if [[ "$WHOAMI" = "MASTER" ]]; then
echo "initializing dask scheduler..."
screen -dmS dask_scheduler bash -c "source activate $ENVNAME && dask-scheduler"
sleep 5
echo "... scheduler started"
fi
echo -e "\n"
echo "starting $NWORKERS worker(s)..."
for worker_id in $(seq 1 $NWORKERS)
do
echo "... starting cpu worker $worker_id"
if [[ "$LOG" = "DEBUG" ]]; then
echo -e "\n"
echo "[error] please set log-level to INFO. DEBUG log-level is only supported on GPU architectures"
echo -e "\n"
break
elif [[ "$LOG" = "INFO" ]]; then
export create_worker="source activate $ENVNAME && \
dask-worker $MASTER_IPADDR:$DASK_SCHED_PORT \
--host=${MY_IPADDR[0]} --no-nanny \
--nprocs=1 --nthreads=1 \
--memory-limit=0 --name ${MY_IPADDR[0]}_cpu_$worker_id \
--local-directory $DASK_LOCAL_DIR/$name"
export logfile="${DASK_LOCAL_DIR}/${MY_IPADDR[0]}_cpu_${worker_id}_log.txt"
screen -dmS cpu_worker_$worker_id \
bash -c 'script --flush --command "$create_worker" "$logfile"'
else
export create_worker="source activate $ENVNAME && \
dask-worker $MASTER_IPADDR:$DASK_SCHED_PORT \
--host=${MY_IPADDR[0]} --no-nanny \
--nprocs=1 --nthreads=1 \
--memory-limit=0 --name ${MY_IPADDR[0]}_cpu_$worker_id \
--local-directory $DASK_LOCAL_DIR/$name"
screen -dmS cpu_worker_$worker_id \
bash -c "$create_worker"
fi
done
fi
fi
if [[ "$NWORKERS" -eq "0" ]]; then
NUM_SCREENS=$(screen -list | grep --only-matching --extended-regexp '[0-9]\ Socket|[0-9]{1,10}\ Sockets' | grep --only-matching --extended-regexp '[0-9]{1,10}')
if [[ $NUM_SCREENS == "" ]]; then
echo "cluster shut down successfully"
echo "verifying status:"
screen -list
fi
fi
if [[ "0" -lt "$NWORKERS" ]]; then
echo "printing status ..."
echo -e "\n"
screen -list
echo -e "\n"
fi