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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/05/17 05:37:25 UTC
[GitHub] [incubator-mxnet] aaronmarkham commented on a change in pull
request #14952: Update mkldnn window build instructions in MKLDNN_README.md
aaronmarkham commented on a change in pull request #14952: Update mkldnn window build instructions in MKLDNN_README.md
URL: https://github.com/apache/incubator-mxnet/pull/14952#discussion_r284983337
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File path: docs/tutorials/mkldnn/MKLDNN_README.md
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@@ -101,118 +101,76 @@ LIBRARY_PATH=$(brew --prefix llvm)/lib/ make -j $(sysctl -n hw.ncpu) CC=$(brew -
<h2 id="3">Windows</h2>
On Windows, you can use [Micrsoft Visual Studio 2015](https://www.visualstudio.com/vs/older-downloads/) and [Microsoft Visual Studio 2017](https://www.visualstudio.com/downloads/) to compile MXNet with Intel MKL-DNN.
-[Micrsoft Visual Studio 2015](https://www.visualstudio.com/vs/older-downloads/) is recommended.
+[Micrsoft Visual Studio 2015](https://www.visualstudio.com/vs/older-downloads/) is recommended.
**Visual Studio 2015**
To build and install MXNet yourself, you need the following dependencies. Install the required dependencies:
1. If [Microsoft Visual Studio 2015](https://www.visualstudio.com/vs/older-downloads/) is not already installed, download and install it. You can download and install the free community edition.
-2. Download and Install [CMake 3](https://cmake.org/) if it is not already installed.
-3. Download and install [OpenCV 3](http://sourceforge.net/projects/opencvlibrary/files/opencv-win/3.0.0/opencv-3.0.0.exe/download).
-4. Unzip the OpenCV package.
-5. Set the environment variable ```OpenCV_DIR``` to point to the ```OpenCV build directory``` (```C:\opencv\build\x64\vc14``` for example). Also, you need to add the OpenCV bin directory (```C:\opencv\build\x64\vc14\bin``` for example) to the ``PATH`` variable.
-6. If you have Intel Math Kernel Library (MKL) installed, set ```MKL_ROOT``` to point to ```MKL``` directory that contains the ```include``` and ```lib```. If you want to use MKL blas, you should set ```-DUSE_BLAS=mkl``` when cmake. Typically, you can find the directory in
-```C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2018\windows\mkl```.
-7. If you don't have the Intel Math Kernel Library (MKL) installed, download and install [OpenBLAS](http://sourceforge.net/projects/openblas/files/v0.2.14/). Note that you should also download ```mingw64.dll.zip`` along with openBLAS and add them to PATH.
-8. Set the environment variable ```OpenBLAS_HOME``` to point to the ```OpenBLAS``` directory that contains the ```include``` and ```lib``` directories. Typically, you can find the directory in ```C:\Program files (x86)\OpenBLAS\```.
+2. Download and Install [CMake 3](https://cmake.org/files/v3.14/cmake-3.14.0-win64-x64.msi) if it is not already installed.
+3. Download [OpenCV 3](https://sourceforge.net/projects/opencvlibrary/files/3.4.5/opencv-3.4.5-vc14_vc15.exe/download), and unzip the OpenCV package, set the environment variable ```OpenCV_DIR``` to point to the ```OpenCV build directory``` (e.g.,```OpenCV_DIR = C:\opencv\build ```). Also, add the OpenCV bin directory (```C:\opencv\build\x64\vc14\bin``` for example) to the ``PATH`` variable.
+4. If you have Intel Math Kernel Library (Intel MKL) installed, set ```MKL_ROOT``` to point to ```MKL``` directory that contains the ```include``` and ```lib```. If you want to use MKL blas, you should set ```-DUSE_BLAS=mkl``` when cmake. Typically, you can find the directory in ```C:\Program Files (x86)\IntelSWTools\compilers_and_libraries\windows\mkl```.
+5. If you don't have the Intel Math Kernel Library (MKL) installed, download and install [OpenBLAS](http://sourceforge.net/projects/openblas/files/v0.2.14/), or build the latest version of OpenBLAS from source. Note that you should also download ```mingw64.dll.zip``` along with openBLAS and add them to PATH.
+6. Set the environment variable ```OpenBLAS_HOME``` to point to the ```OpenBLAS``` directory that contains the ```include``` and ```lib``` directories. Typically, you can find the directory in ```C:\Downloads\OpenBLAS\```.
After you have installed all of the required dependencies, build the MXNet source code:
-1. Download the MXNet source code from [GitHub](https://github.com/apache/incubator-mxnet). Don't forget to pull the submodules:
+1. Start a Visual Studio command prompt by click windows Start menu>>Visual Studio 2015>>VS2015 X64 Native Tools Command Prompt, and download the MXNet source code from [GitHub](https://github.com/apache/incubator-mxnet) by the command:
```
git clone --recursive https://github.com/apache/incubator-mxnet.git
+cd C:\incubator-mxent
```
-
-2. Copy file `3rdparty/mkldnn/config_template.vcxproj` to incubator-mxnet root.
-
-3. Start a Visual Studio command prompt.
-
-4. Use [CMake 3](https://cmake.org/) to create a Visual Studio solution in ```./build``` or some other directory. Make sure to specify the architecture in the
-[CMake 3](https://cmake.org/) command:
+2. Use [CMake 3](https://cmake.org/) to create a Visual Studio solution in ```./build```. Make sure to specify the architecture in the
+command:
```
-mkdir build
-cd build
-cmake -G "Visual Studio 14 Win64" .. -DUSE_CUDA=0 -DUSE_CUDNN=0 -DUSE_NVRTC=0 -DUSE_OPENCV=1 -DUSE_OPENMP=1 -DUSE_PROFILER=1 -DUSE_BLAS=open -DUSE_LAPACK=1 -DUSE_DIST_KVSTORE=0 -DCUDA_ARCH_NAME=All -DUSE_MKLDNN=1 -DCMAKE_BUILD_TYPE=Release
+>mkdir build
+>cd build
+>cmake -G "Visual Studio 14 Win64" .. -DUSE_CUDA=0 -DUSE_CUDNN=0 -DUSE_NVRTC=0 -DUSE_OPENCV=1 -DUSE_OPENMP=1 -DUSE_PROFILER=1 -DUSE_BLAS=open -DUSE_LAPACK=1 -DUSE_DIST_KVSTORE=0 -DCUDA_ARCH_NAME=All -DUSE_MKLDNN=1 -DCMAKE_BUILD_TYPE=Release
```
-
-5. In Visual Studio, open the solution file,```.sln```, and compile it.
-These commands produce a library called ```libmxnet.dll``` in the ```./build/Release/``` or ```./build/Debug``` folder.
-Also ```libmkldnn.dll``` with be in the ```./build/3rdparty/mkldnn/src/Release/```
-
-6. Make sure that all the dll files used above(such as `libmkldnn.dll`, `libmklml.dll`, `libiomp5.dll`, `libopenblas.dll`, etc) are added to the system PATH. For convinence, you can put all of them to ```\windows\system32```. Or you will come across `Not Found Dependencies` when loading MXNet.
-
-**Visual Studio 2017**
-
-To build and install MXNet yourself using [Microsoft Visual Studio 2017](https://www.visualstudio.com/downloads/), you need the following dependencies. Install the required dependencies:
-
-1. If [Microsoft Visual Studio 2017](https://www.visualstudio.com/downloads/) is not already installed, download and install it. You can download and install the free community edition.
-2. Download and install [CMake 3](https://cmake.org/files/v3.11/cmake-3.11.0-rc4-win64-x64.msi) if it is not already installed.
-3. Download and install [OpenCV](https://sourceforge.net/projects/opencvlibrary/files/opencv-win/3.4.1/opencv-3.4.1-vc14_vc15.exe/download).
-4. Unzip the OpenCV package.
-5. Set the environment variable ```OpenCV_DIR``` to point to the ```OpenCV build directory``` (e.g., ```OpenCV_DIR = C:\utils\opencv\build```).
-6. If you don't have the Intel Math Kernel Library (MKL) installed, download and install [OpenBlas](https://sourceforge.net/projects/openblas/files/v0.2.20/OpenBLAS%200.2.20%20version.zip/download).
-7. Set the environment variable ```OpenBLAS_HOME``` to point to the ```OpenBLAS``` directory that contains the ```include``` and ```lib``` directories (e.g., ```OpenBLAS_HOME = C:\utils\OpenBLAS```).
-
-After you have installed all of the required dependencies, build the MXNet source code:
-
-1. Start ```cmd``` in windows.
-
-2. Download the MXNet source code from GitHub by using following command:
-
-```r
-cd C:\
-git clone --recursive https://github.com/apache/incubator-mxnet.git
+3. Enable Intel MKL-DNN and Intel MKL as BLAS library by the command:
```
-
-3. Copy file `3rdparty/mkldnn/config_template.vcxproj` to incubator-mxnet root.
-
-4. Follow [this link](https://docs.microsoft.com/en-us/visualstudio/install/modify-visual-studio) to modify ```Individual components```, and check ```VC++ 2017 version 15.4 v14.11 toolset```, and click ```Modify```.
-
-5. Change the version of the Visual studio 2017 to v14.11 using the following command (by default the VS2017 is installed in the following path):
-
-```r
-"C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Auxiliary\Build\vcvars64.bat" -vcvars_ver=14.11
+>"C:\Program Files (x86)\IntelSWTools\compilers_and_libraries\windows\mkl\bin\mklvars.bat" intel64
+>cmake -G "Visual Studio 14 Win64" .. -DUSE_CUDA=0 -DUSE_CUDNN=0 -DUSE_NVRTC=0 -DUSE_OPENCV=1 -DUSE_OPENMP=1 -DUSE_PROFILER=1 -DUSE_BLAS=mkl -DUSE_LAPACK=1 -DUSE_DIST_KVSTORE=0 -DCUDA_ARCH_NAME=All -DUSE_MKLDNN=1 -DCMAKE_BUILD_TYPE=Release -DMKL_ROOT="C:\Program Files (x86)\IntelSWTools\compilers_and_libraries\windows\mkl"
```
-
-6. Create a build dir using the following command and go to the directory, for example:
-
+4. After the CMake successfully completed, in Visual Studio, open the solution file ```.sln``` and compile it, or compile the the MXNet source code by using following command:
```r
-mkdir C:\build
-cd C:\build
+msbuild mxnet.sln /p:Configuration=Release;Platform=x64 /maxcpucount
```
+ These commands produce mxnet library called ```libmxnet.dll``` in the ```./build/Release/``` or ```./build/Debug``` folder. Also ```libmkldnn.dll``` with be in the ```./build/3rdparty/mkldnn/src/Release/```
-7. CMake the MXNet source code by using following command:
+5. Make sure that all the dll files used above(such as `libmkldnn.dll`, `libmklml*.dll`, `libiomp5.dll`, `libopenblas*.dll`, etc) are added to the system PATH. For convinence, you can put all of them to ```\windows\system32```. Or you will come across `Not Found Dependencies` when loading MXNet.
-```r
-cmake -G "Visual Studio 15 2017 Win64" .. -T host=x64 -DUSE_CUDA=0 -DUSE_CUDNN=0 -DUSE_NVRTC=0 -DUSE_OPENCV=1 -DUSE_OPENMP=1 -DUSE_PROFILER=1 -DUSE_BLAS=open -DUSE_LAPACK=1 -DUSE_DIST_KVSTORE=0 -DCUDA_ARCH_NAME=All -DUSE_MKLDNN=1 -DCMAKE_BUILD_TYPE=Release
-```
+**Visual Studio 2017**
-8. After the CMake successfully completed, compile the the MXNet source code by using following command:
+User can follow the same steps of Visual Studio 2015 to build MXNET with MKL-DNN, but change the version related command, for example,```C:\opencv\build\x64\vc15\bin``` and build command is as below:
-```r
-msbuild mxnet.sln /p:Configuration=Release;Platform=x64 /maxcpucount
```
+>cmake -G "Visual Studio 15 Win64" .. -DUSE_CUDA=0 -DUSE_CUDNN=0 -DUSE_NVRTC=0 -DUSE_OPENCV=1 -DUSE_OPENMP=1 -DUSE_PROFILER=1 -DUSE_BLAS=mkl -DUSE_LAPACK=1 -DUSE_DIST_KVSTORE=0 -DCUDA_ARCH_NAME=All -DUSE_MKLDNN=1 -DCMAKE_BUILD_TYPE=Release -DMKL_ROOT="C:\Program Files (x86)\IntelSWTools\compilers_and_libraries\windows\mkl"
Review comment:
That is a really confusing thing about the internal version numbers for the compilers. You are correct. 14 is 2015 and 15 is 2017.
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