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PURE_CPP_BUILD.md

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Pure C++ build

Spconv provide a way to generate sources to build a C++ library with all op needed for inference and train.

The generated libspconv has been deployed to tensorrt and run in real automatic driving vehicles.

Steps

  1. Install spconv, Install cumm, Install cumm cmake, or add it as a sub directory

Cmake Install: clone cumm project, use mkdir -p build && cd build && cmake .. && make && make install

Subdirectory: clone cumm project, copy it to your parent project.

  1. prepare cmake list files, set some environment variables, then generate code
  • Set Envs
export CUMM_CUDA_VERSION=11.4 # cuda version, required
export CUMM_DISABLE_JIT=1
export SPCONV_DISABLE_JIT=1
export CUMM_INCLUDE_PATH="\${CUMM_INCLUDE_PATH}" # if you use cumm as a subdirectory, you need this to find cumm includes.
export CUMM_CUDA_ARCH_LIST="6.1;7.5;8.6" # cuda arch flags
  • Generate Code: Ignore train ops:
python -m spconv.gencode --include=/path/to/spconv/include --src=/path/to/spconv/src --inference_only=True
  • Generate Code: Include train ops:
python -m spconv.gencode --include=/path/to/spconv/include --src=/path/to/spconv/src
  1. Run cmake build.

Example

see example/libspconv/README.md