De-vendor CMake dependencies and use shared libraries

[gigony]

This patch de-vendors CMake dependencies and use/link shared libraries as much as possible.

• Devendor CMake dependencies #686

• Switch to build with CXX11 ABI because we are now building manylinux_2_28 wheel.

  • Previously, we set _GLIBCXX_USE_CXX11_ABI=0 because manylinux2014 requires gcc4-compatible libstdcxx-abi(gcc is configured with '--with-default-libstdcxx-abi=gcc4-compatible', https://gcc.gnu.org/onlinedocs/libstdc++/manual/configure.html) which forces to set _GLIBCXX_USE_CXX11_ABI=0 so std::pmr::string wouldn't be available on CentOS 7.

• Update tests/unit/clara/test_image_cache.py::test_get_shared_memory_cache to reduce the shared memory size.

  • https://github.com/rapidsai/cucim/actions/runs/10203511389/job/28230563808?pr=753
    • FAILED tests/unit/clara/test_image_cache.py::test_get_shared_memory_cache - RuntimeError: No space left on device

Tasks

• Update CMake files to use the conda package (and fall back to the downloaded source if the CONDA_PREFIX environment variable is not available).
  • cpp/cmake/deps
    • abseil.cmake
    • boost-header-only.cmake
    • catch2.cmake => Using Catch2 from Conda package has some issues with the CMake integration.
    • cli11.cmake
    • fmt.cmake
    • googlebenchmark.cmake
    • googletest.cmake
    • libcuckoo.cmake => no conda package available
    • nlohmann_json.cmake
    • nvtx3.cmake
    • taskflow.cmake
  • python/cmake/deps
    • fmt.cmake
    • nlohmann_json.cmake
    • pybind11_json.cmake
    • pybind11.cmake
  • cpp/plugins/cucim.kit.cuslide/cmake/deps
    • catch2.cmake
    • cli11.cmake
    • fmt.cmake
    • googlebenchmark.cmake
    • googletest.cmake
    • libculibos.cmake
    • libdeflate.cmake
    • libjpeg-turbo.cmake
    • libopenjpeg.cmake
    • libtiff.cmake
    • nlohmann_json.cmake
    • nvjpeg.cmake
    • openslide.cmake
    • pugixml.cmake
  • cpp/plugins/cucim.kit.cumed/cmake/deps
    • catch2.cmake
    • cli11.cmake
    • fmt.cmake
    • googlebenchmark.cmake
    • googletest.cmake
• Make sure that required shared libraries are embedded in the xx.libs folder in the Python wheel file:
  • Related to this file
  • Currently, for https://files.pythonhosted.org/packages/c1/be/e25edc72728620c51fbab884a473a37e440323ad9f555750a267a4801e08/cucim_cu12-24.6.0-cp311-cp311-manylinux_2_28_x86_64.whl, the following files are embedded:
    • cucim_cu12.libs/liblzma-51a76f52.so.5.2.4
    • cucim_cu12.libs/libcudart-b5a066d7.so.12.2.140
    • cucim_cu12.libs/libcucim-61bee0fe.so.24.06.00
• Switch to use rapids-cmake

Added conda packages (for build)

• boost-cpp
• libabseil
• fmt
• nlohmann_json
• nvtx-c // [Improve] Use the official NVTX C++ API once available. #168
• taskflow // https://taskflow.github.io/taskflow/Releases.html
• pybind11
• pybind11_json
• catch2
  • Add C++17 support that "just works" via package managers · Issue #2462 · catchorg/Catch2
  • https://stackoverflow.com/a/70320798/16361228
• cli11

Test procedure

using docker

# On the repository root folder
docker run \
  --rm \
  -it \
  --gpus all \
  --pull=always \
  --network=host \
  --volume $PWD:/repo \
  --workdir /repo \
  rapidsai/ci-conda:cuda12.5.1-ubuntu22.04-py3.10


# Inside the docker

## remove build cache
find . -type d -name 'build-release' -exec rm -rf {} +
find /opt/conda/conda-bld/work/ -type d -name 'build-release' -exec rm -rf {} +

## run ci locally
./ci/build_cpp.sh

using conda locally

mamba env create -n cucim -f conda/environments/all_cuda-125_arch-x86_64.yaml
mamba activate cucim

./run build_local clean && ./run build_local clean_local && ./run build_local all release $CONDA_PREFIX

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[gigony]

/ok to test

[jakirkham]

Thanks Gigon! 🙏

Moved this to 24.10. Hope that is ok 🙂

[jakirkham]

/ok to test

[gigony]

/ok to test

[gigony]

/ok to test

[jakirkham]

• googlebenchmark.cmake

In conda-forge this is called benchmark

Though I wonder if we want to use rapids-cmake's rapids_cpm_gbench

[gigony]

/ok to test

[gigony]

/ok to test

[jakirkham]

libculibos.cmake

cuLIBOS is a static library that is included as part of CUDART and installed with the NVCC compiler

In terms of finding it, CMake already has FindCUDAToolkit, which includes a CUDA::culibos target that we can require and add to dependencies

So we can probably drop this file and simplify associated logic

[gigony]

/ok to test

[gigony]

@jakirkham It looks like the build container is out of space.

https://github.com/rapidsai/cucim/actions/runs/10206351504/job/28239540987?pr=753

  FAILED tests/unit/clara/test_image_cache.py::test_get_shared_memory_cache - RuntimeError: No space left on device

[jakirkham]

Do we know how much space we are using?

[jakirkham]

If we just need Boost headers, we can make this change

[jakirkham]

/ok to test

[jakirkham]

Style check failure is due to a small typo. Fixing in PR: #759

[jakirkham]

Rebased

Edit: Hoped that would mean GitHub would sign all the commits for us, but it seems that didn't work

[jakirkham]

/ok to test