From ac2d781646ba4389afc8070bf20da758fea0698e Mon Sep 17 00:00:00 2001 From: Alexander Zoechbauer Date: Tue, 31 Oct 2023 23:37:54 +0100 Subject: [PATCH] updated README --- README.md | 48 ++++++++++++++------ containers/apptainer/apptainer_build.sh | 4 +- containers/apptainer/apptainer_build_env.sh | 4 +- docs/docs/img/containers.png | Bin 0 -> 295069 bytes use-cases/mnist/torch/startscript.sh | 32 ++++++++----- 5 files changed, 59 insertions(+), 29 deletions(-) create mode 100644 docs/docs/img/containers.png diff --git a/README.md b/README.md index 60c80549..0b8b4746 100644 --- a/README.md +++ b/README.md @@ -9,41 +9,61 @@ for a quick overview of this platform for advanced AI/ML workflows in digital tw If you want to integrate a new use case, you can follow this [step-by-step guide](https://intertwin-eu.github.io/T6.5-AI-and-ML/docs/How-to-use-this-software.html). -## CMCC Use-case: -To run do: -``` -micromamba run -p ./.venv python run-workflow.py -f ./use-cases/cyclones/workflows/workflow-train.yml -``` -## Installation +## Requirements -The containers were build using Apptainer version 1.1.8-1.el8 +The containers were build using Apptainer version 1.1.8-1.el8 and podman version 4.4.1. -### Building the containers +### Base Container The container are built on top of the [NVIDIA PyTorch NGC Containers](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/pytorch). The NGC containers come with preinstalled libraries such as CUDA, cuDNN, NCCL, PyTorch, etc that are all harmouniously compatible with each other in order to reduce depenency issue and provide a maximum of portability. The current version used is ```nvcr.io/nvidia/pytorch:23.09-py3```, which is based on CUDA 12.2.1 and PyTorch 2.1.0a0+32f93b1. If you need other specs you can consults the [Release Notes](https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/index.html) and find the right base container for you. -Once you found the right container you can alter the following line + +### Running the itwinai container + +There are currently three ways to execute the itwinai container on a SLURM cluster. + +1. Direct build on the HPC system +2. Use build on the [itwinai repo](https://github.com/interTwin-eu/itwinai/pkgs/container/t6.5-ai-and-ml) and pull to HPC system +3. Deploy to Kubernetes cluster and offload to HPC via [interLink](https://github.com/interTwin-eu/interLink) + +![container workflow](docs/docs/img/containers.png) + +##### Direct build +Run the following commands to build the container directly on the HPC system. Select the right base container by altering the following line ``` apptainer pull torch.sif docker://nvcr.io/nvidia/pytorch:23.09-py3 ``` inside ```containers/apptainer/apptainer_build.sh``` to change to the desired version. -As mentioned above additional libraries are installed on top of the NGC container which are listed inside ```env-files/torch/pytorch-env-gpu-container.txt```. - -Once you are satisified with the libraries run: +Install the itwinai libraries by running: ``` ./containers/apptainer/apptainer_build.sh ``` -### Run the containers +Run the startscript with +``` +sbatch use-cases/mnist/torch/startscript.sh +``` + +##### Github container repository build +With this method you can just pull the ready container from the github container repository: +``` +apptainer pull containers/apptainer/itwinai.sif docker://ghcr.io/intertwin-eu/t6.5-ai-and-ml:containers +``` Run the startscript with ``` -sbatch startscript.sh +sbatch use-cases/mnist/torch/startscript.sh ``` +##### InterLink +To be tested + + + + ### Future work It is currently foreseen to build the container via GH actions. \ No newline at end of file diff --git a/containers/apptainer/apptainer_build.sh b/containers/apptainer/apptainer_build.sh index c6625a1c..7c395319 100755 --- a/containers/apptainer/apptainer_build.sh +++ b/containers/apptainer/apptainer_build.sh @@ -13,10 +13,10 @@ export APPTAINER_CACHEDIR=$(mktemp -d -p $PWD/Cache) export APPTAINER_TMPDIR=$(mktemp -d -p $PWD/TMP) # official NVIDIA NVCR container with Torch==2.0.0 -apptainer pull containers/apptainer/torch.sif docker://nvcr.io/nvidia/pytorch:23.09-py3 +apptainer pull containers/apptainer/itwinai.sif docker://nvcr.io/nvidia/pytorch:23.09-py3 # run bash to create envs echo "running ./containers/apptainer/apptainer_build_env.sh" -apptainer exec torch.sif bash -c "./containers/apptainer/apptainer_build_env.sh" +apptainer exec itwinai.sif bash -c "./containers/apptainer/apptainer_build_env.sh" #eof \ No newline at end of file diff --git a/containers/apptainer/apptainer_build_env.sh b/containers/apptainer/apptainer_build_env.sh index 5c49e364..6805e87b 100755 --- a/containers/apptainer/apptainer_build_env.sh +++ b/containers/apptainer/apptainer_build_env.sh @@ -5,5 +5,5 @@ nname='torch_env' # source ${nname}/bin/activate # install wheels -- from this point on, feel free to add anything -pip3 install -r ./env-files/torch/pytorch-env-gpu-container.txt -pip3 install -e . \ No newline at end of file +#pip3 install -r ./env-files/torch/pytorch-env-gpu-container.txt +pip3 install -e .[dev] \ No newline at end of file diff --git a/docs/docs/img/containers.png b/docs/docs/img/containers.png new file mode 100644 index 0000000000000000000000000000000000000000..d5135396812116a4a43536ab5315700f2d205862 GIT binary patch literal 295069 zcma%j1yGgW-Y(rCh=8=9gwov&(k&t#(jl9WE@?I?N_Tgcbcb|qx>LFv?#ua$=R4ke z=X^8U@tw`gdRP4Nd7iZc73AKcqY$7#K|!HQN{A{!K_M6e|BR3jfN!)MtzQBELE9?5 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then fi + +#This is to overwrite the default run command in the container, e.g.: + +#EXEC="python train.py -p pipeline.yaml --download-only" #for bash +# if [ "$SLURM_EXECUTION" = true ]; then +# srun --cpu-bind=none bash -c "apptainer exec --nv \ +# $CONTAINERPATH \ +# $EXEC" +# else +# apptainer exec --nv \ +# $CONTAINERPATH \ +# $EXEC +# fi + #Choose SLURM execution or bash script execution if [ "$SLURM_EXECUTION" = true ]; then - srun --cpu-bind=none bash -c "apptainer exec --nv \ - $CONTAINERPATH \ - $EXEC" + srun --cpu-bind=none bash -c "apptainer run --nv \ + $CONTAINERPATH" + else - apptainer exec --nv \ - $CONTAINERPATH \ - $EXEC + apptainer run --nv \ + $CONTAINERPATH fi #eof