datavec_srun.sh

#!/bin/bash
#SBATCH -p wzhdexclu10
#SBATCH -N 2
#SBATCH --cpus-per-task=8
#SBATCH --ntasks-per-node=4
#SBATCH --mem 50G 
#SBATCH --gres=dcu:4
#SBATCH -J data2vec
#SBATCH -o logs/%x-%j.txt
#SBATCH -e logs/%x-%j.txt
ulimit -u 200000

# export NCCL_DEBUG=INFO
export NCCL_IB_HCA=mlx5
export NCCL_IB_DISABLE=0
export NCCL_SOCKET_IFNAME=ib0
export HSA_FORCE_FINE_GRAIN_PCIE=1
export MIOPEN_FIND_MODE=3
export OMP_NUM_THREADS=1
echo "START TIME: $(date)"

module purge
module load compiler/devtoolset/7.3.1
module load mpi/hpcx/gcc-7.3.1
module load compiler/dtk/23.04
# source /opt/dtk-23.04/env.sh
source /public/home/xxx/dtk-23.04/env.sh
module list 
which mpirun

# load env
source /public/home/xxx/anaconda3/bin/activate fairseq
# conda activate fairseq
which python3
export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/public/home/xxx/anaconda3/envs/fairseq/lib
#source activate fairseq
export PYTHON=python3
export NPROC_PER_NODE=4

rm -f ./hostfile/*
rm -f core.*

dir="./hostfile"
if [ ! -d "$dir" ];then
mkdir $dir
echo "$dir created successfully"
else
echo "$dir already existed"
fi
# sleep 1d
dir="./checkpoints"
if [ ! -d "$dir" ];then
mkdir $dir
echo "$dir created successfully"
else
echo "$dir already existed"
fi

hostfile=./hostfile/$SLURM_JOB_ID
scontrol show hostnames $SLURM_JOB_NODELIST > ${hostfile}
for i in `cat $hostfile`
do
    echo ${i} slots=4 >> `pwd`/hostfile/hostfile-dl-$SLURM_JOB_ID
done
np=$(cat $hostfile|sort|uniq |wc -l)
np=$(($np*4))
nodename=$(cat $hostfile |sed -n "1p")
dist_url=`echo $nodename | awk '{print $1}'`

CONFIG_DIR="examples/data2vec/config/v2"
# CONFIG_DIR="examples/data2vec/config/vision/finetuning"
CONFIG_NAME="base_images_only_task"
# CONFIG_NAME="mae_imagenet_clean"

DATA_PATH=`pwd`/"data"
CACHE_PATH=`pwd`/"scratch/cache_abaevski/imagenet"
CHECKPOINT_PATH=`pwd`/"checkpoints/checkpoint_last.pt"

srun python3 fairseq_cli/hydra_train.py -m \
    task.data=$DATA_PATH \
    task.local_cache_path=$CACHE_PATH \
    distributed_training.distributed_init_method=tcp://$dist_url:34566 \
    distributed_training.distributed_world_size=$np \
    --config-dir $CONFIG_DIR \
    --config-name $CONFIG_NAME \