tensorboardX 2.4-foss-2020b-PyTorch-1.7.1

There is a newer version of tensorboardX

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

Accessing tensorboardX 2.4-foss-2020b-PyTorch-1.7.1

To load the module for tensorboardX 2.4-foss-2020b-PyTorch-1.7.1 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):

module load tensorboardX/2.4-foss-2020b-PyTorch-1.7.1

There is a GPU enabled version of this module: tensorboardX 2.4-fosscuda-2020b-PyTorch-1.7.1

BEAR Apps Version

2020b

Architectures

EL8-cascadelake — EL8-haswell

The listed architectures consist of two part: OS-CPU.

  • BlueBEAR: The OS used on BlueBEAR is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.
  • BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.

Extensions

  • SoundFile 0.10.3.post1
  • tensorboardX 2.4

More Information

For more information visit the tensorboardX website.

Dependencies

This version of tensorboardX has a direct dependency on: foss/2020b libsndfile/1.0.28-GCCcore-10.2.0 protobuf/3.14.0-GCCcore-10.2.0 Python/3.8.6-GCCcore-10.2.0 PyTorch/1.7.1-foss-2020b SciPy-bundle/2020.11-foss-2020b torchvision/0.8.2-foss-2020b-PyTorch-1.7.1

Other Versions

These versions of tensorboardX 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 28th January 2022