| # Requirements | |
| pytorch-caney can be installed and used via anaconda environments and containers. | |
| A Docker container is provided and this same container can be converted | |
| to a Singularity container without loosing any functionalities. | |
| CPU support is limited and the author does not provide any guarantee of usability. | |
| ## Architecture | |
| The container is built on top of NGC NVIDIA PYTORCH containers. | |
| This application is powered by PyTorch and PyTorch Lighning AI/ML backends. | |
| ## Example to Download the Container via Singularity | |
| ```bash | |
| module load singularity | |
| singularity build --sandbox pytorch-caney docker://nasanccs/pytorch-caney:latest | |
| ## Example to Install Anaconda Environment | |
| ``` bash | |
| git clone git@github.com:nasa-nccs-hpda/pytorch-caney.git | |
| cd pytorch-caney; conda env create -f requirements/environment_gpu.yml; | |
| conda activate pytorch-caney | |
| ``` | |
| ## Container Usage | |
| As an example, you can shell into the container: | |
| ```bash | |
| singularity shell --nv -B <mounts> /path/to/container/pytorch-caney | |
| ``` | |