CUda Matrix Multiply library.
cumm is developed during learning of CUTLASS, which use too much c++ template and make code unmaintainable. So I develop pccm, use python as meta programming language, to replace c++ template meta programming.
Now pccm become a foundational framework of cumm and my other c++ project such as spconv.
cumm also contains a python asyncio-based gemm simulator that share same meta program with CUDA code, enable gemm visualization and easy debug experience.
We offer python 3.7-3.11 and cuda 10.2/11.3/11.4/11.7/12.0 prebuilt binaries for linux (manylinux).
We offer python 3.7-3.11 and cuda 10.2/11.3/11.4/11.7/12.0 prebuilt binaries for windows 10/11.
pip install cumm for CPU-only
pip install cumm-cu102 for CUDA 10.2
pip install cumm-cu113 for CUDA 11.3
pip install cumm-cu114 for CUDA 11.4
pip install cumm-cu117 for CUDA 11.7
pip install cumm-cu120 for CUDA 12.0
WARNING Use code in tags!!! code in main branch may contain bugs.
The c++ code will be built automatically when you change c++ code in project.
pip list | grep cummgit clone https://github.com/FindDefinition/cumm, cd ./cumm, git checkout tags/<tag_name>, pip install -e .import cumm and wait for build finish.pip list | grep cummtools/msvc_setup.ps1git clone https://github.com/FindDefinition/cumm, cd ./cumm, git checkout tags/<tag_name>, pip install -e .import cumm and wait for build finish.WARNING Use code in tags!!! code in main branch may contain bugs.
WARNING: If CUMM_CUDA_VERSION is set with a CUDA version, following steps will create a wheel named "cumm-cuxxx", not "cumm", this means you must use cumm-cuxxx in dependency of your project which depend on cumm, not cumm. If CUMM_CUDA_VERSION isn't set, cumm will always built with CUDA, so the CUDA must exists in your system. The wheel name will be cumm even if it is built with cuda.
It's recommend to build Linux packages in official build docker. Build with CUDA support don't need a real GPU.
git clone https://github.com/FindDefinition/cumm, cd ./cumm, docker run --rm -e PLAT=manylinux2014_x86_64 -e CUMM_CUDA_VERSION=114 -v `pwd`:/io scrin/manylinux2014-cuda:cu114-devel-1.0.0 bash -c "source /etc/bashrc && /io/tools/build-wheels.sh"export CUMM_CUDA_VERSION="11.4". If you want to build CPU-only, run export CUMM_CUDA_VERSION="". If CUMM_CUDA_VERSION isn't set, you need to ensure cuda libraries are inside OS search path, and the built wheel name will be cumm, otherwise cumm-cuxxxexport CUMM_DISABLE_JIT="1"python setup.py bdist_wheel+pip install dists/xxx.whltools/msvc_setup.ps1$Env:CUMM_CUDA_VERSION = "11.4". If you want to build CPU-only, run $Env:CUMM_CUDA_VERSION = "". . If CUMM_CUDA_VERSION isn't set, you need to ensure cuda libraries are inside OS search path, and the built wheel name will be cumm, otherwise cumm-cuxxx$Env:CUMM_DISABLE_JIT = "1"python setup.py bdist_wheel+pip install dists/xxx.whlThe work is done when the author is an employee at Tusimple.
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CUda Matrix Multiply library
We found that cumm-cu116 demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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