PyTorch-Lightning 2.0.2-foss-2022a-CUDA-11.7.0

PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers.

Accessing PyTorch-Lightning 2.0.2-foss-2022a-CUDA-11.7.0

To load the module for PyTorch-Lightning 2.0.2-foss-2022a-CUDA-11.7.0 please use this command on Baskerville:

📋 module load bask-apps/live
module load PyTorch-Lightning/2.0.2-foss-2022a-CUDA-11.7.0

Bask Apps Env

live

Extensions

• aiobotocore 2.3.4
• aioitertools 0.11.0
• anyio 3.7.0
• arrow 1.2.3
• blessed 1.20.0
• botocore 1.24.21
• commonmark 0.9.1
• croniter 1.3.15
• exceptiongroup 1.1.1
• fastapi 0.88.0
• fsspec 2022.7.1
• h11 0.14.0
• inquirer 3.1.2
• itsdangerous 2.1.2
• jmespath 1.0.1
• lightning-utilities-0.8.0
• lightning_cloud 0.5.36
• pydantic 1.10.8
• PyJWT 2.7.0
• python-editor-1.0.4
• python_multipart 0.0.6
• pytorch-lightning-2.0.2
• readchar 4.0.5
• rich 12.5.1
• s3fs 2022.7.1
• sniffio 1.3.0
• starlette 0.22.0
• 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 Baskerville. These will be retained in accordance with our Applications Support and Retention Policy.

Last modified on 2nd June 2023