PyTorch 1.4.0-fosscuda-2019b-Python-3.7.4
Deprecated: Use of this version of PyTorch is deprecated. More information on our Applications Support and Retention Policy.
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 1.4.0-fosscuda-2019b-Python-3.7.4
To load the module for PyTorch 1.4.0-fosscuda-2019b-Python-3.7.4 please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):
module load PyTorch/1.4.0-fosscuda-2019b-Python-3.7.4
There is a CPU version of this module: PyTorch 1.4.0-foss-2019b-Python-3.7.4
BEAR Apps Version
More Information
For more information visit the PyTorch website.
Dependencies
This version of PyTorch has a direct dependency on: cuDNN/7.6.4.38-gcccuda-2019b FFmpeg/4.2.1-GCCcore-8.3.0 fosscuda/2019b GMP/6.1.2-GCCcore-8.3.0 magma/2.5.4-fosscuda-2019b MPFR/4.0.2-GCCcore-8.3.0 NCCL/2.4.8-gcccuda-2019b numactl/2.0.12-GCCcore-8.3.0 Pillow/6.2.1-GCCcore-8.3.0 Python/3.7.4-GCCcore-8.3.0 PyYAML/5.1.2-GCCcore-8.3.0 SciPy-bundle/2019.10-fosscuda-2019b-Python-3.7.4
Required By
This version of PyTorch is a direct dependent of: BEAR-Python-DataScience/2019b-fosscuda-2019b-Python-3.7.4 BEAR-Python-DataScience/2019b-fosscuda-2019b-Python-3.7.4-ppc64le detectron2/0.1.2-fosscuda-2019b-Python-3.7.4 detectron2/0.1.1-fosscuda-2019b-Python-3.7.4 Horovod/0.21.1-fosscuda-2019b-PyTorch-1.4.0-Python-3.7.4 neural_renderer_pytorch/1.1.3-fosscuda-2019b-Python-3.7.4-PyTorch-1.4.0 PPN2V/4e822aa-fosscuda-2019b-Python-3.7.4 PyTorch3D/0.2.0-fosscuda-2019b-Python-3.7.4-PyTorch-1.4.0 PyTorch3D/0.1.1-fosscuda-2019b-Python-3.7.4-PyTorch-1.4.0 PyTorch-Geometric/1.4.3-fosscuda-2019b-Python-3.7.4-PyTorch-1.4.0 SoftRas/f644279-fosscuda-2019b-Python-3.7.4-PyTorch-1.4.0 tensorboardX/2.0-fosscuda-2019b-Python-3.7.4-PyTorch-1.4.0 torchvision/0.5.0-fosscuda-2019b-Python-3.7.4-PyTorch-1.4.0
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 27th February 2020