40 lines
1.5 KiB
Bash
40 lines
1.5 KiB
Bash
|
#!/bin/bash
|
||
|
|
#SBATCH --partition=compute-od-gpu
|
||
|
|
#SBATCH --job-name=stable-diffusion-512cont-improvedaesthetic
|
||
|
|
#SBATCH --nodes=20
|
||
|
|
#SBATCH --gpus-per-node=8
|
||
|
|
#SBATCH --cpus-per-gpu=4
|
||
|
|
#SBATCH --ntasks-per-node=1
|
||
|
|
#SBATCH --output=%x_%j.%n.out
|
||
|
|
|
||
|
|
# nccl / efa stuff
|
||
|
|
module load intelmpi
|
||
|
|
source /opt/intel/mpi/latest/env/vars.sh
|
||
|
|
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:$LD_LIBRARY_PATH
|
||
|
|
export NCCL_PROTO=simple
|
||
|
|
export PATH=/opt/amazon/efa/bin:$PATH
|
||
|
|
export LD_PRELOAD="/opt/nccl/build/lib/libnccl.so"
|
||
|
|
export FI_EFA_FORK_SAFE=1
|
||
|
|
export FI_LOG_LEVEL=1
|
||
|
|
export FI_EFA_USE_DEVICE_RDMA=1 # use for p4dn
|
||
|
|
export NCCL_DEBUG=info
|
||
|
|
export PYTHONFAULTHANDLER=1
|
||
|
|
export CUDA_LAUNCH_BLOCKING=0
|
||
|
|
export OMPI_MCA_mtl_base_verbose=1
|
||
|
|
export FI_EFA_ENABLE_SHM_TRANSFER=0
|
||
|
|
export FI_PROVIDER=efa
|
||
|
|
export FI_EFA_TX_MIN_CREDITS=64
|
||
|
|
export NCCL_TREE_THRESHOLD=0
|
||
|
|
|
||
|
|
# pytorch multinode vars
|
||
|
|
# node rank should be set in launcher script
|
||
|
|
export MASTER_ADDR=$(scontrol show hostnames "$SLURM_JOB_NODELIST" | head -n 1)
|
||
|
|
export MASTER_PORT=11338
|
||
|
|
export WORLD_SIZE=$(scontrol show hostnames "$SLURM_JOB_NODELIST" | wc -l)
|
||
|
|
|
||
|
|
echo MASTER_ADDR=${MASTER_ADDR}
|
||
|
|
echo MASTER_PORT=${MASTER_PORT}
|
||
|
|
echo WORLD_SIZE=${WORLD_SIZE}
|
||
|
|
|
||
|
|
srun --output=%x_%j.%n.out bash /fsx/stable-diffusion/stable-diffusion/scripts/slurm/resume_512_improvedaesthetic/launcher.sh
|