PyTorch 1.9.1-foss-2021a-CUDA-11.3.1-imkl

There is a newer version of PyTorch

PyTorch provides tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system.

Accessing PyTorch 1.9.1-foss-2021a-CUDA-11.3.1-imkl

To load the module for PyTorch 1.9.1-foss-2021a-CUDA-11.3.1-imkl please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):

module load PyTorch/1.9.1-foss-2021a-CUDA-11.3.1-imkl

There is a CPU version of this module: PyTorch 1.9.1-foss-2021a-imkl

BEAR Apps Version

2020b

More Information

For more information visit the PyTorch website.

Dependencies

This version of PyTorch has a direct dependency on: CUDA/11.3.1 cuDNN/8.2.1.32-CUDA-11.3.1 FFmpeg/4.3.2-GCCcore-10.3.0 foss/2021a GMP/6.2.1-GCCcore-10.3.0 imkl/2021.2.0-gompi-2021a magma/2.6.1-foss-2021a-CUDA-11.3.1 MPFR/4.1.0-GCCcore-10.3.0 NCCL/2.10.3-GCCcore-10.3.0-CUDA-11.3.1 Ninja/1.10.2-GCCcore-10.3.0 numactl/2.0.14-GCCcore-10.3.0 Pillow/8.2.0-GCCcore-10.3.0 protobuf/3.17.3-GCCcore-10.3.0 protobuf-python/3.17.3-GCCcore-10.3.0 pybind11/2.6.2-GCCcore-10.3.0 Python/3.9.5-GCCcore-10.3.0 PyYAML/5.4.1-GCCcore-10.3.0 SciPy-bundle/2021.05-foss-2021a typing-extensions/3.10.0.0-GCCcore-10.3.0

Required By

This version of PyTorch is a direct dependent of: Cellpose/0.6.5-foss-2021a-CUDA-11.3.1 pytorch-lightning/1.5.7-foss-2021a-CUDA-11.3.1 torchvision/0.11.1-foss-2021a-CUDA-11.3.1

Other Versions

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

Last modified on 11th October 2021