cumm
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.
BREAKING CHANGES
- 0.3.1: tv::DType enum value changed, this will affect all binary code of tv::Tensor user. you must recompile all code if upgrade to cumm >= 0.3.1.
News
- Ampere feature support (by EvernightAurora)
Install
Prebuilt
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
Build from source for development (JIT, recommend for develop)
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.
Linux
- uninstall cumm installed by pip. you must ensure no "cumm" exists in
pip list | grep cumm - install build-essential, install CUDA
git clone https://github.com/FindDefinition/cumm,cd ./cumm,git checkout tags/<tag_name>,pip install -e .- in python,
import cummand wait for build finish.
Windows
- uninstall spconv and cumm installed by pip. you must ensure no "cumm" exists in
pip list | grep cumm - install visual studio 2019 or newer. make sure C++ development component is installed. install CUDA
- set powershell script execution policy
- start a new powershell, run
tools/msvc_setup.ps1 git clone https://github.com/FindDefinition/cumm,cd ./cumm,git checkout tags/<tag_name>,pip install -e .- in python,
import cummand wait for build finish.
Build wheel from source
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.
Linux
It's recommend to build Linux packages in official build docker. Build with CUDA support don't need a real GPU.
Build in Official Docker
- select a cuda version. available: CUDA 11.1, 11.3, 11.4, 11.5, 12.0
- (Example for CUDA 11.4)
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"
Build in your environment
- install build-essential, install CUDA
- set env for installed cuda version. for example,
export CUMM_CUDA_VERSION="11.4". If you want to build CPU-only, runexport CUMM_CUDA_VERSION="". IfCUMM_CUDA_VERSIONisn't set, you need to ensure cuda libraries are inside OS search path, and the built wheel name will becumm, otherwisecumm-cuxxx - run
export CUMM_DISABLE_JIT="1" - run
python setup.py bdist_wheel+pip install dists/xxx.whl
Windows 10/11
- install visual studio 2019 or newer. make sure C++ development package is installed. install CUDA
- set powershell script execution policy
- start a new powershell, run
tools/msvc_setup.ps1 - set env for installed cuda version. for example,
$Env:CUMM_CUDA_VERSION = "11.4". If you want to build CPU-only, run$Env:CUMM_CUDA_VERSION = "". . IfCUMM_CUDA_VERSIONisn't set, you need to ensure cuda libraries are inside OS search path, and the built wheel name will becumm, otherwisecumm-cuxxx - run
$Env:CUMM_DISABLE_JIT = "1" - run
python setup.py bdist_wheel+pip install dists/xxx.whl
Contributers
- EvernightAurora: add ampere feature.
Note
The work is done when the author is an employee at Tusimple.
LICENSE
Apache 2.0
1 maintainer
Metadata
1 maintainer
Release files for cumm-cu102 0.5.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| cumm_cu102-0.5.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.11 | CPython 3.11 | Linux glibc 2.17+ x86-64 | Details |
| cumm_cu102-0.5.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.10 | CPython 3.10 | Linux glibc 2.17+ x86-64 | Details |
| cumm_cu102-0.5.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.9 | CPython 3.9 | Linux glibc 2.17+ x86-64 | Details |
| cumm_cu102-0.5.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.8 | CPython 3.8 | Linux glibc 2.17+ x86-64 | Details |
| cumm_cu102-0.5.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.7 | CPython 3.7 pymalloc | Linux glibc 2.17+ x86-64 | Details |
Total release size: 57.8 MB
Release files / cumm_cu102-0.5.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | cumm_cu102-0.5.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 11.6 MB |
| Tags | CPython 3.11 Linux glibc 2.17+ x86-64 |
|
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No |
| Uploaded via |
twine/5.0.0 CPython/3.12.4
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Release files / cumm_cu102-0.5.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | cumm_cu102-0.5.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 11.6 MB |
| Tags | CPython 3.10 Linux glibc 2.17+ x86-64 |
|
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| Uploaded via |
twine/5.0.0 CPython/3.12.4
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Release files / cumm_cu102-0.5.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | cumm_cu102-0.5.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 11.6 MB |
| Tags | CPython 3.9 Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.0.0 CPython/3.12.4
|
Release files / cumm_cu102-0.5.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | cumm_cu102-0.5.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 11.5 MB |
| Tags | CPython 3.8 Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.0.0 CPython/3.12.4
|
Release files / cumm_cu102-0.5.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | cumm_cu102-0.5.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 11.6 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.0.0 CPython/3.12.4
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