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DOWNLOAD CLION MAC

DOWNLOAD CLION CODE

Now you can set a break point in your C++ code and start debugging.set MXNET_LIBRARY_PATH to the path of mxnet shared path( ~/mxnet_cpp/cmake-build-debug-llvm/libmxnet.dylib).set PYTHONPATH to your base path/python(~/mxnet_cpp/python).In Working directory, choose your mxnet base path.In Program Arguments, choose your python script.Choose the Python binary that you want to execute(If you are compiling inside a Conda environment, choose that version).To setup an Application for debugging, goto Edit Configurations and add a new Application,.(Note: debugging as a python application won't invoke the debugger) We will setup an Application that calls the python binary and pass the python script. Here I have setup a breakpoint to the MXListAllOpNames which gets called to generate the operators on the Python Frontend. To debug the C++ code, AFAIK you need to have a general idea of the call flow and setup a break point. For this example we will create a Python script for testing the Quadratic operator from the Operator tutorial We will first create a small python script that invokes MXNet. Debugging MXNet backend code with Python frontend You can use Google C++ coding style as the default since it's the one we use in MXNet: Next, click the settings icon ( ) on the right > Import scheme > Intellij IDEA code style XML and browse for the style file. To load the style file, go to Preferences > search for code style > change Scheme to Project (so the coding style will apply only to this project).

These can be loaded from an external style file, and they can be applied at project level or globally, at IDE level.Īs a reference, you can use the following style file: mxnet-style.xml.

Coding style can be defined in the preferences dialogue to have CLion stick to certain coding guidelines. To select specific unit tests, you can click Run → 'edit configurations' and add '–gtest_filter=' And a pattern like 'SUITE.Test' such as -gtest_filter='inv_khatri_rao.OneInputMatrixTransposed'ĬLion provides code generation and formatting tools which can come in handy when developing. To make sure everything is working properly, select mxnet_unit_tests as run configuration and run it. DUSE_CUDA=OFF -DUSE_OPENMP=ON -DUSE_OPENCV=ON -DUSE_MKL_IF_AVAILABLE=OFF -DCMAKE_VERBOSE_MAKEFILE=OFF -DCMAKE_CXX_COMPILER_LAUNCHER=ccache -DCMAKE_C_COMPILER_LAUNCHER=ccache -DCMAKE_CUDA_COMPILER_LAUNCHER=ccache For Linux with CUDA: CMake options: -DUSE_CUDA=ON -DUSE_OLDCMAKECUDA=OFF -DUSE_OPENMP=ON -DUSE_OPENCV=ON -DUSE_MKL_IF_AVAILABLE=OFF -DUSE_MKLDNN=OFF -DUSE_MKLML_MKL=OFF -DCMAKE_VERBOSE_MAKEFILE=OFF -DUSE_SIGNAL_HANDLER=ON -DCMAKE_CXX_COMPILER_LAUNCHER=ccache -DCMAKE_C_COMPILER_LAUNCHER=ccache -DCMAKE_CUDA_COMPILER_LAUNCHER=ccache -DCMAKE_VERBOSE_MAKEFILE=ONĬUDACXX=/usr/local/cuda/bin/nvcc 4.4. DCMAKE_CUDA_COMPILER_LAUNCHER=/usr/local/opt/ccache/bin/ccacheįor linux without CUDA you can use the following options: Set the C, C++ and CUDA compilers to use ccache. DCMAKE_CXX_COMPILER_LAUNCHER=/usr/local/opt/ccache/bin/ccache Setting it to 'apple' will select Apple's Accelerate.ĭisable OpenCV, which is not installed on macOS by default.

DOWNLOAD CLION MAC

Unless your Mac has a GPU and CUDA installed, this option should be turned off.Ĭhoose a BLAS (Basic Linear Algebra Subprograms) library.

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