Metadata-Version: 2.1
Name: cm4mlops
Version: 0.3.23
Home-page: https://github.com/mlcommons/cm4mlops
Description-Content-Type: text/markdown
License-File: LICENSE.md
License-File: LICENSE.third-party.md
Requires-Dist: setuptools>=60
Requires-Dist: wheel
Requires-Dist: cmind
Requires-Dist: giturlparse
Requires-Dist: requests
Requires-Dist: pyyaml

## Unified and cross-platform CM interface for DevOps, MLOps and MLPerf

[![License](https://img.shields.io/badge/License-Apache%202.0-green)](LICENSE.md)
[![Python Version](https://img.shields.io/badge/python-3+-blue.svg)](https://github.com/mlcommons/ck/tree/master/cm/cmind)
[![Powered by CM](https://img.shields.io/badge/Powered_by-MLCommons%20CM-blue)](https://github.com/mlcommons/ck).
[![Downloads](https://static.pepy.tech/badge/cm4mlops)](https://pepy.tech/project/cm4mlops)

[![CM script automation features test](https://github.com/mlcommons/cm4mlops/actions/workflows/test-cm-script-features.yml/badge.svg)](https://github.com/mlcommons/cm4mlops/actions/workflows/test-cm-script-features.yml)
[![MLPerf inference bert (deepsparse, tf, onnxruntime, pytorch)](https://github.com/mlcommons/cm4mlops/actions/workflows/test-mlperf-inference-bert-deepsparse-tf-onnxruntime-pytorch.yml/badge.svg)](https://github.com/mlcommons/cm4mlops/actions/workflows/test-mlperf-inference-bert-deepsparse-tf-onnxruntime-pytorch.yml)
[![MLPerf inference MLCommons C++ ResNet50](https://github.com/mlcommons/cm4mlops/actions/workflows/test-mlperf-inference-mlcommons-cpp-resnet50.yml/badge.svg)](https://github.com/mlcommons/cm4mlops/actions/workflows/test-mlperf-inference-mlcommons-cpp-resnet50.yml)
[![MLPerf inference ABTF POC Test](https://github.com/mlcommons/cm4mlops/actions/workflows/test-mlperf-inference-abtf-poc.yml/badge.svg)](https://github.com/mlcommons/cm4mlops/actions/workflows/test-mlperf-inference-abtf-poc.yml)
[![Test Compilation of QAIC Compute SDK (build LLVM from src)](https://github.com/mlcommons/cm4mlops/actions/workflows/test-qaic-compute-sdk-build.yml/badge.svg)](https://github.com/mlcommons/cm4mlops/actions/workflows/test-qaic-compute-sdk-build.yml)
[![Test QAIC Software kit Compilation](https://github.com/mlcommons/cm4mlops/actions/workflows/test-qaic-software-kit.yml/badge.svg)](https://github.com/mlcommons/cm4mlops/actions/workflows/test-qaic-software-kit.yml)


The `mlperf-branch` of the **cm4mlops** repository contains updated CM scripts specifically for MLPerf Inference, including support for Automotive. Please note that the general CM scripts in this branch may not be compatible with other projects. For more information on using CM for MLPerf Inference, visit the [MLPerf Inference Documentation site](https://docs.mlcommons.org/inference/).

[![Streamline your MLPerf results using CM Framework](https://img.youtube.com/vi/eI1Hoecc3ho/0.jpg)](https://youtu.be/eI1Hoecc3ho)

## News

* [Upcoming Changes](https://github.com/mlcommons/cm4mlops/discussions/categories/announcements)
* [Ongoing Discussions](https://github.com/mlcommons/cm4mlops/discussions/categories/ideas)

## License

[Apache 2.0](LICENSE.md)

## CM concepts

Check our [ACM REP'23 keynote](https://doi.org/10.5281/zenodo.8105339).

## Authors

[Grigori Fursin](https://cKnowledge.org/gfursin) and [Arjun Suresh](https://www.linkedin.com/in/arjunsuresh)

## Major script developers

Arjun Suresh, Anandhu S, Grigori Fursin

## Funding

We thank [cKnowledge.org](https://cKnowledge.org), [cTuning foundation](https://cTuning.org)
and [MLCommons](https://mlcommons.org) for sponsoring this project!

## Acknowledgments

We thank all [volunteers, collaborators and contributors](https://github.com/mlcommons/ck/blob/master/CONTRIBUTING.md) 
for their support, fruitful discussions, and useful feedback!
