| ## Build the C++ package |
| The C++ package has the same prerequisites as the MXNet library. |
| |
| To enable C++ package, just add `USE_CPP_PACKAGE=1` in the [build from source](build_from_source.html) options when building the MXNet shared library. |
| |
| For example to build MXNet with GPU support and the C++ package, OpenCV, and OpenBLAS, from the project root you would run: |
| |
| ```bash |
| make -j USE_CPP_PACKAGE=1 USE_OPENCV=1 USE_BLAS=openblas USE_CUDA=1 |
| ``` |
| |
| You may also want to add the MXNet shared library to your `LD_LIBRARY_PATH`: |
| |
| ```bash |
| export LD_LIBRARY_PATH=~/incubator-mxnet/lib |
| ``` |
| |
| Setting the `LD_LIBRARY_PATH` is required to run the examples mentioned in the following section. |
| |
| ## C++ Example Code |
| You can find C++ code examples in the `cpp-package/example` folder of the MXNet project. Refer to the [cpp-package's README](https://github.com/apache/incubator-mxnet/tree/master/cpp-package) for instructions on building the examples. |
| |
| ## Tutorials |
| |
| * [MXNet C++ API Basics](https://mxnet.incubator.apache.org/tutorials/c++/basics.html) |
| |
| ## Related Topics |
| |
| * [Image Classification using MXNet's C Predict API](https://github.com/apache/incubator-mxnet/tree/master/example/image-classification/predict-cpp) |
