Package Health Score

57 / 100

security
Security review needed
popularity
Small
maintenance
Sustainable
community
Limited

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ism
42

Popularity

Small

GitHub Stars: 70
Forks: 9
Contributors: 3

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package cumm-cu113, we found that it has been starred 70 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Jun 12, 2024
Direct Vulnerabilities: 0
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0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
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0
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License Risk: 0
H
1
M
0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Sustainable

Commit Frequency

Open Issues: 13
Open PR: 0
Last Release: 5 months ago
Last Commit: 26 days ago

Further analysis of the maintenance status of cumm-cu113 based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Sustainable.

We found that cumm-cu113 demonstrates a positive version release cadence with at least one new version released in the past 12 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 3
Funding: No

This project has seen only 10 or less contributors.

We found a way for you to contribute to the project! Looks like cumm-cu113 is missing a Code of Conduct.

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Package

Python Versions Compatibility: >=3.6

Age: 3 years
Latest Release: 5 months ago
Dependencies: 2 Direct / 17 Total
Versions: 31
Maintainers: 1
Wheels: Linux

Readme

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/, pip install -e .
in python, import cumm and 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/, pip install -e .
in python, import cumm and 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, 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-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 = "". . 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
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

cumm-cu113 dependencies

fire numpy

FAQs

What is cumm-cu113?

CUda Matrix Multiply library. Visit Snyk Advisor to see a full health score report for cumm-cu113, including popularity, security, maintenance & community analysis.

Is cumm-cu113 popular?

The python package cumm-cu113 receives a total of 3,471 weekly downloads. As such, cumm-cu113 popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is cumm-cu113 well maintained?

We found indications that cumm-cu113 maintenance is sustainable demonstrating some project activity. We saw a total of 3 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is cumm-cu113 safe to use?

While scanning the latest version of cumm-cu113, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 1 November-2024, at 11:28 (UTC).

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Direct Usage Popularity

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Commit Frequency

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Readme

cumm

BREAKING CHANGES

News

Install

Prebuilt

Build from source for development (JIT, recommend for develop)

Linux

Windows

Build wheel from source

Linux

Build in Official Docker

Build in your environment

Windows 10/11

Contributers

Note

LICENSE

cumm-cu113 dependencies

FAQs

What is cumm-cu113?

Is cumm-cu113 popular?

Is cumm-cu113 well maintained?

Is cumm-cu113 safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

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