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AnonymousArthur / .hyper.js
Created April 19, 2018 11:56
WSL with hyper + oh-my-zsh configuration
// Future versions of Hyper may add additional config options,
// which will not automatically be merged into this file.
// See https://hyper.is#cfg for all currently supported options.
module.exports = {
config: {
// choose either `'stable'` for receiving highly polished,
// or `'canary'` for less polished but more frequent updates
updateChannel: 'stable',
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AnonymousArthur / Caffe2GPU_Win10_VS2017_CUDA9_cuDNN7.md
Last active April 24, 2018 13:19
Caffe 2 + GPU support installation on Windows 10 build 1709 + Visual Studio 15.4.5 2017 + CUDA 9.1 + cuDNN 7.1

Refrence Caffe 2 Assuming python is already installed and you've done this step Install within a virtual environment is recommended. So it doesn't pollute your system envrionment, and you can always retry.

  1. Download Visual Studio 15.4.5 CE, do not download the latest 15.6.X because CUDA 9.1 doesn't support that.
  2. Launch the VS installer, select development with C++ and also select C++/CLI support and VC++ 2015.3 v140 toolset. DO NOT UNSELECT ANY SELECTED OPTIONS!!!
  3. Download CUDA 9.1 and cuDNN7.1 from Nvidia, install and patch CUDA if necessary, and then put cnDNN stuff into installation folder as instructed. This step must be performed after step 2 complete.
  4. Download and Install CMAKE
  5. Clone the project, it is now a subproject of pyTorch. Use the link: [git clone --recursive https://github.com/pytorc