PyTorch-Lightning 2.1.0-foss-2022a-CUDA-11.7.0

PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers.

Accessing PyTorch-Lightning 2.1.0-foss-2022a-CUDA-11.7.0

To load the module for PyTorch-Lightning 2.1.0-foss-2022a-CUDA-11.7.0 please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):

module load PyTorch-Lightning/2.1.0-foss-2022a-CUDA-11.7.0

BEAR Apps Version

2019b

Extensions

  • aiobotocore 2.5.0
  • aioitertools 0.11.0
  • anyio 3.7.0
  • arrow 1.2.3
  • blessed 1.20.0
  • boto3 1.26.76
  • botocore 1.29.76
  • commonmark 0.9.1
  • croniter 1.3.15
  • exceptiongroup 1.1.1
  • fastapi 0.98.0
  • fsspec 2023.6.0
  • h11 0.14.0
  • inquirer 3.1.2
  • itsdangerous 2.1.2
  • jmespath 1.0.1
  • lightning-utilities-0.8.0
  • lightning_cloud 0.5.50
  • pydantic 1.10.8
  • PyJWT 2.7.0
  • python-editor-1.0.4
  • python_multipart 0.0.6
  • pytorch-lightning-2.1.0
  • readchar 4.0.5
  • rich 12.5.1
  • s3fs 2023.6.0
  • s3transfer 0.6.0
  • sniffio 1.3.0
  • starlette 0.27.0
  • starsessions 1.3.0
  • torchmetrics 0.11.4
  • traitlets 5.8.1
  • uvicorn 0.22.0
  • websocket-client-1.4.2
  • wrapt 1.14.1

More Information

For more information visit the PyTorch-Lightning website.

Dependencies

This version of PyTorch-Lightning has a direct dependency on: aiohttp/3.8.3-GCCcore-11.3.0 BeautifulSoup/4.10.0-GCCcore-11.3.0 CUDA/11.7.0 deepdiff/5.8.1-GCCcore-11.3.0 foss/2022a Python/3.10.4-GCCcore-11.3.0 PyTorch/2.0.1-foss-2022a-CUDA-11.7.0 tqdm/4.64.0-GCCcore-11.3.0

Other Versions

These versions of PyTorch-Lightning are available on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Last modified on 8th November 2023