forked from embeddings-benchmark/mteb
-
Notifications
You must be signed in to change notification settings - Fork 0
/
retrieval.slurm
88 lines (69 loc) · 2.39 KB
/
retrieval.slurm
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
#!/bin/bash
#SBATCH --job-name=mteb-retrieval
#SBATCH --nodes=4
#SBATCH --ntasks-per-node=1 # crucial - only 1 task per dist per node!
#SBATCH --cpus-per-task=96
#SBATCH --gres=gpu:8
#SBATCH --mem-per-cpu=11G # This is essentially 1.1T / 96
#SBATCH --exclusive
#SBATCH --partition=production-cluster
#SBATCH -o /fsx/nouamane/logs/%x-%j-train.out
set -x -e
# source ~/.bashrc
# TODO Replace with your env name
# conda activate 2-0-cu-117
echo "START TIME: $(date)"
MTEB_REPO=/fsx/nouamane/projects/mteb
pushd $MTEB_REPO
GPUS_PER_NODE=8
NNODES=$SLURM_NNODES
# so processes know who to talk to
MASTER_ADDR=$(scontrol show hostnames $SLURM_JOB_NODELIST | head -n 1)
MASTER_PORT=6000
export USE_DIST=1
CMD=" \
scripts/retrieval_multigpu.py
"
export LAUNCHER="python -u -m torch.distributed.run \
--nproc_per_node $GPUS_PER_NODE \
--nnodes $NNODES \
--rdzv_endpoint $MASTER_ADDR:$MASTER_PORT \
--rdzv_backend c10d \
--max_restarts 0 \
--tee 3 \
"
echo $CMD
# hide duplicated errors using this hack - will be properly fixed in pt-1.12
# export TORCHELASTIC_ERROR_FILE=/tmp/torch-elastic-error.json
# force crashing on nccl issues like hanging broadcast
export NCCL_ASYNC_ERROR_HANDLING=1
# export NCCL_DEBUG=INFO
# export NCCL_DEBUG_SUBSYS=COLL
# export NCCL_SOCKET_NTHREADS=1
# export NCCL_NSOCKS_PERTHREAD=1
# export CUDA_LAUNCH_BLOCKING=1
# export NCCL_ALGO=Ring
# AWS specific
export NCCL_PROTO=simple
export RDMAV_FORK_SAFE=1
export FI_EFA_FORK_SAFE=1
export FI_EFA_USE_DEVICE_RDMA=1
export FI_PROVIDER=efa
export FI_LOG_LEVEL=1
export NCCL_IB_DISABLE=1
export NCCL_SOCKET_IFNAME=ens
export CUDA_HOME=/usr/local/cuda-11.7
# This is needed for torch1.12.1 otherwise it doesn't link correctly, not sur what the issue was.
# export LD_PRELOAD=$CUDA_HOME/lib/libnccl.so # warning: doesn't work with torch 2.0
export LD_LIBRARY_PATH=$CUDA_HOME/efa/lib:$CUDA_HOME/lib:$CUDA_HOME/lib64:$LD_LIBRARY_PATH
# srun error handling:
# --wait=60: wait 60 sec after the first task terminates before terminating all remaining tasks
# --kill-on-bad-exit=1: terminate a step if any task exits with a non-zero exit code
# SRUN_ARGS=" \
# --wait=60 \
# --kill-on-bad-exit=1 \
# "
srun $SRUN_ARGS -u bash -c "$LAUNCHER --node_rank $SLURM_PROCID --role $SLURMD_NODENAME: $CMD"
# srun doesn't work if this script was called with `srun` itself
# bash -c "$LAUNCHER $CMD"
echo "END TIME: $(date)"