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, BEAR Cloud 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
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, BEAR Cloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.
Last modified on 11th October 2021