aaronmarkham commented on a change in pull request #12388: Installation instructions consolidation URL: https://github.com/apache/incubator-mxnet/pull/12388#discussion_r213788955
########## File path: docs/install/build_from_source.md ########## @@ -226,109 +148,62 @@ To build OpenCV from source code, you need the [cmake](https://cmake.org) librar sudo make install ``` -4. Add the lib path to your configuration such as `~/.bashrc`. +* Add the lib path to your configuration such as `~/.bashrc`. ```bash export PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig/ ``` -</div> -</div> - -<div class="windows"> - -First download and install [OpenCV](http://opencv.org/releases.html), then set -the environment variable `OpenCV_DIR` to point to the OpenCV build directory. - -</div> - -#### Optional: [CUDA](https://developer.nvidia.com/cuda-downloads)/[cuDNN](https://developer.nvidia.com/cudnn) for Nvidia GPUs - -MXNet is compatible with both CUDA 7.5 and 8.0. It is recommended to use cuDNN 5. - -<div class="linux"> -<div class="ubuntu"> - -Install CUDA 7.5 and cuDNN 5 on Ubuntu 14.04 - -```bash -wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1404/x86_64/cuda-repo-ubuntu1404_7.5-18_amd64.deb -sudo dpkg -i cuda-repo-ubuntu1404_7.5-18_amd64.deb -echo "deb http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1404/x86_64 /" | sudo tee /etc/apt/sources.list.d/nvidia-ml.list -sudo apt-get update -sudo apt-get install -y linux-image-extra-`uname -r` linux-headers-`uname -r` linux-image-`uname -r` -sudo apt-get install -y cuda libcudnn5-dev=5.0.5-1+cuda7.5 -``` - -</div> -</div> ### Build -<div class="linux macos"> - -First clone the recent codes - +1. Clone the MXNet project. ```bash -git clone --recursive https://github.com/dmlc/mxnet +git clone --recursive https://github.com/apache/incubator-mxnet mxnet cd mxnet ``` -File -[`make/config.mk`](https://github.com/dmlc/mxnet/blob/master/make/config.mk) -contains all the compilation options. You can edit it and then `make`. There are -some example build options - -If you want to build MXNet with C++ language binding, please make sure you read [Build the C++ package](#build-the-c-package) first. - -</div> +There is a configuration file for make, +[`make/config.mk`](https://github.com/apache/incubator-mxnet/blob/master/make/config.mk), that contains all the compilation options. You can edit it and then run `make`. -<div class="linux"> +To enable C++ package, just add `USE_CPP_PACKAGE=1` when you run `make`. -- Build without using OpenCV. `-j` runs multiple jobs against multi-core CPUs. +Other typical configurations are: - ```bash - make -j USE_OPENCV=0 - ``` +* `-j` runs multiple jobs against multi-core CPUs. Example using all cores on Linux: -- Build with both GPU and OpenCV support - - ```bash - make -j USE_BLAS=openblas USE_CUDA=1 USE_CUDA_PATH=/usr/local/cuda USE_CUDNN=1 - ``` - -</div> - -<div class="macos"> - -- Build with the default BLAS library and clang installed with `xcode` (OPENMP - is disabled because it is not supported in default by clang). +```bash +make -j$(nproc) +``` - ```bash - make -j USE_BLAS=apple USE_OPENCV=0 USE_OPENMP=0 - ``` +* Build without using OpenCV: -</div> +```bash +make USE_OPENCV=0 Review comment: This caused me to rearrange the page for a better flow. This is all good info. It should be double-checked in case it is only for cmake and won't work for make. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
