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Singularity container recipe for Deep Learning with GPU for architecture x86_64 based on a CentOS 7. In the specific: centOS 7 with cuda library (10.0-devel-centos7) GNU compiler 7 Python 3.6 OpenMPI 2.1.1 (compiled with support for psm2, pmix, verbs) Tensorflow 1.14.0 GPU (pip) Py-Torch 1.4.0 GPU (pip) Torchvision 0.5.0 CPU (pip) MxNet 1.5.1 CP…

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CINECA-HPC/container_deep_learning_gpu_centos7_x86_64

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container_deep_learning_gpu_centos7_x86_64

Container recipes for Deep Learning with GPU for architecture x86_64 based on a CentOS 7. In the specific:

  • CentOS 7 with cuda library (10.0-devel-centos7)
  • GNU compiler 7
  • Python 3.6
  • OpenMPI 2.1.1 (compiled with support for psm2, pmix, verbs)
  • Tensorflow 1.14.0 GPU (pip)
  • Py-Torch 1.4.0 GPU (pip)
  • Torchvision 0.5.0 CPU (pip)
  • MxNet 1.5.1 CPU (pip)
  • Horovod 0.19.1 (compiled with Tensorflow, Pytorch, MxNet)

This recipe works on in the Cineca cluster (arch x86_64):

  • Galileo

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Singularity container recipe for Deep Learning with GPU for architecture x86_64 based on a CentOS 7. In the specific: centOS 7 with cuda library (10.0-devel-centos7) GNU compiler 7 Python 3.6 OpenMPI 2.1.1 (compiled with support for psm2, pmix, verbs) Tensorflow 1.14.0 GPU (pip) Py-Torch 1.4.0 GPU (pip) Torchvision 0.5.0 CPU (pip) MxNet 1.5.1 CP…

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