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chainer-gpu-cupy-cuda90-mnist

NVIDIA-Docker image for chainer mnist with gpu computong with Python 3.5.2

  • Notice: tensorflow-gpu is available!!
  • Warning: jupyter notebook is NOT available.
  • Warning: This Dockerfile use auto installation
    • This distoribution made at 2018.10.21
    • If you build from Dockerfile, the versions will be change.

Installed distribution, tool & package versions

  • OS: Ubuntu 16.04.5 LTS (Xenial Xerus)
  • CUDA: 9.0.176
  • cudnn: 7.3.1
  • Python: 3.5.1
  • pip: 18.1
  • tensorflow-gpu: 1.11.0
  • cupy-cuda90(cupy alternative): 4.5.0
  • chaienr: 4.5.0

Development host Envirinmenet (For info, it's not prerequrests)

  • OS: Ubuntu 18.04.1 LTS (Bionic Beaver)
  • NVIDIA Driver: 410.48
  • CUDA: 9.0.176
  • Docker: 18.06.1
  • NVIDIA-Docker: 2.0.3

How to use (with Makefile)

If you see this README from outside GitHub, see here https://github.com/YUzushio/chainer-gpu-cupy-cuda90-mnist.git

Clone source

git clone https://github.com/YUzushio/chainer-gpu-cupy-cuda90-mnist.git

Go to directory

cd chainer-gpu-cupy-cuda90-mnist

Build

make build

Run

make run

Excute MNIST training

make traintest

About

nvidia-docker image for chainer mnist in gpu computong.

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