kmaehashi/nvget repository overview

|Travis|_

.. |Travis| image:: https://api.travis-ci.org/kmaehashi/nvget.svg?branch=master⁠ .. _Travis: https://travis-ci.org/kmaehashi/nvget⁠

⁠nvget

A script to download assets from NVIDIA Developer <https://developer.nvidia.com/>_ website. You need to have a valid NVIDIA Developer account, have enrolled to the program required to download the asset and have agreed with the terms of the corresponding license agreement.

⁠Requirements

• Python 2.7, 3.3, 3.4, 3.5 or 3.6
• Google Chrome (with headless support)
• ChromeDriver

See Dockerfile for the detailed setup procedures.

⁠Run Using Docker

It is recommended to run nvget using the Docker image hosted on DockerHub <https://hub.docker.com/r/kmaehashi/nvget/>__, as it's a bit tough work to install Google Chrome and ChromeDriver correctly.

::

⁠Pull images from DockerHub.

docker pull kmaehashi/nvget

⁠Set NVIDIA Developer credentials to the environment variable, and add alias.

⁠These steps are just for convenience; add these lines to your .bashrc.

export NVGET_USER="[email protected]⁠" export NVGET_PASSWORD="p@ssw0rd" alias nvget-docker='docker run --rm -e NVGET_USER -e NVGET_PASSWORD -u "${UID}" -v "${PWD}:/download" kmaehashi/nvget'

⁠Download the file.

nvget-docker "https://developer.nvidia.com/compute/machine-learning/nccl/secure/v2.1/prod/nccl_2.1.2-1+cuda8.0_x86_64⁠"

⁠Development

Modify the local nvget source tree and docker build -t nvget-dev -f Dockerfile-dev . to build new image for testing.

⁠License

MIT License