| # Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| #!/bin/bash | |
| # example slurm script for training diffusion | |
| #SBATCH -p your_partition -A your_account -t 24:00:00 --nodes=16 --exclusive --mem=0 --overcommit --gpus-per-node 8 --ntasks-per-node=8 --dependency=singleton | |
| export WANDB_PROJECT=xxx | |
| export WANDB_RUN_ID=xxx | |
| export WANDB_RESUME=allow | |
| export CUDA_DEVICE_MAX_CONNECTIONS=1 | |
| export PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True | |
| DIR=`pwd` | |
| srun -l --container-image nvcr.io/nvidia/nemo:dev --container-mounts "/home:/home" --no-container-mount-home --mpi=pmix bash -c "cd ${DIR} ; python -u nemo/collections/diffusion/train.py --yes $*" | |