42 lines
1.5 KiB
Bash
Executable file
42 lines
1.5 KiB
Bash
Executable file
#!/bin/bash
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#SBATCH --partition=compute-od-gpu
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#SBATCH --job-name=stable-diffusion-v3-pretraining
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#SBATCH --nodes 44
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#SBATCH --ntasks-per-node 1
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#SBATCH --cpus-per-gpu=4
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#SBATCH --gres=gpu:8
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#SBATCH --exclusive
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#SBATCH --output=%x_%j.out
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#SBATCH --comment "Key=Monitoring,Value=ON"
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#SBATCH --no-requeue
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module load intelmpi
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source /opt/intel/mpi/latest/env/vars.sh
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export LD_LIBRARY_PATH=/opt/aws-ofi-nccl/lib:/opt/amazon/efa/lib64:/usr/local/cuda-11.0/efa/lib:/usr/local/cuda-11.0/lib:/usr/local/cuda-11.0/lib64:/usr/local/cuda-11.0:/opt/nccl/build/lib:/opt/aws-ofi-nccl-install/lib:/opt/aws-ofi-nccl/lib:$LD_LIBRARY_PATH
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export NCCL_PROTO=simple
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export PATH=/opt/amazon/efa/bin:$PATH
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export LD_PRELOAD="/opt/nccl/build/lib/libnccl.so"
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export FI_EFA_FORK_SAFE=1
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export FI_LOG_LEVEL=1
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export FI_EFA_USE_DEVICE_RDMA=1 # use for p4dn
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export NCCL_DEBUG=info
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export PYTHONFAULTHANDLER=1
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export CUDA_LAUNCH_BLOCKING=0
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export OMPI_MCA_mtl_base_verbose=1
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export FI_EFA_ENABLE_SHM_TRANSFER=0
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export FI_PROVIDER=efa
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export FI_EFA_TX_MIN_CREDITS=64
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export NCCL_TREE_THRESHOLD=0
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# sent to sub script
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export HOSTNAMES=`scontrol show hostnames "$SLURM_JOB_NODELIST"`
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export MASTER_ADDR=$(scontrol show hostnames "$SLURM_JOB_NODELIST" | head -n 1)
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export MASTER_PORT=12802
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export COUNT_NODE=`scontrol show hostnames "$SLURM_JOB_NODELIST" | wc -l`
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export WORLD_SIZE=$COUNT_NODE
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echo go $COUNT_NODE
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echo $HOSTNAMES
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echo $WORLD_SIZE
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mpirun -n $COUNT_NODE -perhost 1 /fsx/stable-diffusion/stable-diffusion/scripts/slurm/v3_pretraining/launcher.sh
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