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34945fb107
* Renamed and moved mem alloc functions into the `mscclpp::detail::` namespace (now `mscclpp::detail::gpuCalloc*<T>()`) * Deprecated constructor-calling mem alloc functions (`mscclpp::makeShared*<T>()` and `mscclpp::makeUnique*<T>()`) * Added a new `mscclpp::GpuBuffer<T>()` class that should be used in general for allocating communication buffers * Added a new `mscclpp.utils.GpuBuffer` Python class that inherits `cupy.ndarray` and allocates using `mscclpp::gpuMemAlloc` * Renamed `mscclpp::memcpyCuda*<T>()` functions into `mscclpp::gpuMemcpy*<T>()` for name consistency * A few fixes in NVLS memory allocation * Tackled minor compiler warnings
How to build docs
-
Install
doxygen.$ sudo apt-get install doxygen graphviz -
Install Python packages below. If you install them on the user's local, you need to include
~/.local/binto$PATH(to usesphinx-build).$ sudo python3 -m pip install -r ./requirements.txt -
Create Doxygen documents.
$ doxygen -
Create Sphinx documents.
$ make html -
Done. The HTML files will be on
_build/directory.