Merge pull request #652 from ctuning/main

minor clean up

Author: ctuning-admin

README.md

@@ -1,36 +1,27 @@
 ## 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://pypi.org/project/cmind).
-[![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)
-
 
 # CM4MLOps repository
 
-**CM4MLOps** repository is powered by the [Collective Mind automation framework](https://github.com/mlcommons/ck/tree/master/cm), 
-a [Python package](https://pypi.org/project/cmind/) with a CLI and API designed for creating and managing automations. 
+This repository is powered by the [Collective Mind workflow automation framework](https://github.com/mlcommons/ck/tree/master/cm).
 
 Two key automations developed using CM are **Script** and **Cache**, which streamline machine learning (ML) workflows, 
-including managing Docker runs. Both Script and Cache automations are part of the **cm4mlops** repository.
+including managing Docker runs. Both Script and Cache automations are part of the **cmx4mlops** repository.
 
-The CM scripts, also housed in this repository, consist of hundreds of modular Python-wrapped scripts accompanied 
+The [CM scripts](https://access.cknowledge.org/playground/?action=scripts), 
+also housed in this repository, consist of hundreds of modular Python-wrapped scripts accompanied 
 by `yaml` metadata, enabling the creation of robust and flexible ML workflows.
 
 - **CM Scripts Documentation**: [https://docs.mlcommons.org/cm4mlops/](https://docs.mlcommons.org/cm4mlops/)
 - **CM CLI Documentation**: [https://docs.mlcommons.org/ck/specs/cm-cli/](https://docs.mlcommons.org/ck/specs/cm-cli/)  
 
-The `mlperf-branch` of the **cm4mlops** repository is dedicated to developments specific to MLPerf Inference. 
-Please submit any pull requests (PRs) to this branch. For more information about using CM for MLPerf Inference, 
-refer to the [MLPerf Inference Documentation](https://docs.mlcommons.org/inference/).
-
 ## License
 
 [Apache 2.0](LICENSE.md)
@@ -45,17 +36,35 @@ Grigori Fursin, the cTuning foundation and OctoML donated the CK and CM projects
 
 * MLCommons
 
-## CM author
+## Author
 
 [Grigori Fursin](https://cKnowledge.org/gfursin)
 
-## CM concepts
+We sincerely appreciate all [contributors](https://github.com/mlcommons/ck/blob/master/CONTRIBUTORS.md) 
+for their invaluable feedback and support!
+
+## Concepts
 
 Check our [ACM REP'23 keynote](https://doi.org/10.5281/zenodo.8105339) and the [white paper](https://arxiv.org/abs/2406.16791).
 
-## CM script developers
+## Test image classification and MLPerf R-GAT inference benchmark via CMX PYPI package
+
+```bash
+pip install cmind
+pip install cmx4mlops
+cmx run script "python app image-classification onnx" --quiet
+cmx run script --tags=run,mlperf,inference,generate-run-cmds,_submission,_short --submitter="MLCommons" --adr.inference-src.tags=_branch.dev --pull_changes=yes --pull_inference_changes=yes  --submitter="MLCommons" --hw_name=ubuntu-latest_x86 --model=rgat --implementation=python --backend=pytorch --device=cpu --scenario=Offline --test_query_count=500 --adr.compiler.tags=gcc --category=datacenter --quiet  --v --target_qps=1
+```
+
+## Test image classification and MLPerf R-GAT inference benchmark via CMX GitHub repo
 
-Arjun Suresh, Anandhu Sooraj, Grigori Fursin
+```bash
+pip uninstall cmx4mlops
+pip install cmind
+cmx pull repo mlcommons@ck --dir=cmx4mlops/cmx4mlops
+cmx run script "python app image-classification onnx" --quiet
+cmx pull repo mlcommons@ck --dir=cmx4mlops/cmx4mlops
+```
 
 ## Parent project