PyTorch 1.8.1-fosscuda-2020b
There is a newer install of PyTorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration. PyTorch is a deep learning framework that puts Python first.Accessing PyTorch 1.8.1-fosscuda-2020b
To load the module for PyTorch 1.8.1-fosscuda-2020b please use this command on Baskerville:
📋
module load bask-apps/test
module load PyTorch/1.8.1-fosscuda-2020b
Bask Apps Env
More Information
For more information visit the PyTorch website.
Dependencies
This version of PyTorch has a direct dependency on: cuDNN/8.0.4.30-CUDA-11.1.1 FFmpeg/4.3.1-GCCcore-10.2.0 fosscuda/2020b GMP/6.2.0-GCCcore-10.2.0 magma/2.5.4-fosscuda-2020b MPFR/4.1.0-GCCcore-10.2.0 NCCL/2.8.3-GCCcore-10.2.0-CUDA-11.1.1 Ninja/1.10.1-GCCcore-10.2.0 numactl/2.0.13-GCCcore-10.2.0 Pillow/8.0.1-GCCcore-10.2.0 protobuf/3.14.0-GCCcore-10.2.0 protobuf-python/3.14.0-GCCcore-10.2.0 pybind11/2.6.0-GCCcore-10.2.0 Python/3.8.6-GCCcore-10.2.0 PyYAML/5.3.1-GCCcore-10.2.0 SciPy-bundle/2020.11-fosscuda-2020b typing-extensions/3.7.4.3-GCCcore-10.2.0
Required By
This version of PyTorch is a direct dependent of: Horovod/0.22.1-fosscuda-2020b-PyTorch-1.8.1 PyTorch3D/0.5.0-fosscuda-2020b-PyTorch-1.8.1 PyTorch3D/0.4.0-fosscuda-2020b-PyTorch-1.8.1 tensorboardX/2.4-fosscuda-2020b-PyTorch-1.8.1 torchvision/0.9.1-fosscuda-2020b-PyTorch-1.8.1
Other Versions
These versions of PyTorch are available on Baskerville. These will be retained in accordance with our Applications Support and Retention Policy.
| Version | Bask Apps Env |
|---|---|
| 2.1.2-foss-2023a-CUDA-12.1.1 | live |
| 2.1.2-foss-2022b-CUDA-11.8.0 | live |
| 2.0.1-foss-2022a-CUDA-11.7.0 | live |
| 1.10.0-foss-2021a-CUDA-11.3.1 | live |
Last modified on 10th July 2021