clean up

README.md

@@ -64,7 +64,7 @@ see [online catalog at CK playground](https://access.cknowledge.org/playground/?
 
 CM scripts extend the concept of `cmake` with simple Python automations, native scripts
 and JSON/YAML meta descriptions. They require Python 3.7+ with minimal dependencies and are 
-[continuously extended by the community and MLCommons members](https://github.com/mlcommons/ck/blob/master/CONTRIBUTING.md)
+[continuously extended by the community and MLCommons members](https://github.com/mlcommons/ck/blob/master/CONTRIBUTORS.md)
 to run natively on Ubuntu, MacOS, Windows, RHEL, Debian, Amazon Linux
 and any other operating system, in a cloud or inside automatically generated containers
 while keeping backward compatibility.
@@ -176,7 +176,7 @@ and to advance its development as a collaborative, community-driven effort.
 
 We thank [MLCommons](https://mlcommons.org), [FlexAI](https://flex.ai) 
 and [cTuning](https://cTuning.org) for supporting this project,
-as well as our dedicated [volunteers and collaborators](https://github.com/mlcommons/ck/blob/master/CONTRIBUTING.md)
+as well as our dedicated [volunteers and collaborators](https://github.com/mlcommons/ck/blob/master/CONTRIBUTORS.md)
 for their feedback and contributions!
 
 If you found the CM automations helpful, kindly reference this article:

cmx4mlops/README.md

@@ -22,9 +22,10 @@ by `yaml` metadata, enabling the creation of robust and flexible ML workflows.
 
 Grigori Fursin, the cTuning foundation and OctoML donated the CK and CM projects to MLCommons to benefit everyone and encourage collaborative development.
 
-## Maintainer(s)
+## Maintainers
 
-* MLCommons
+* CM, CM4MLOps and MLPerf automations: MLCommons
+* CMX (the next generation of CM): Grigori Fursin
 
 ## Author
 
@@ -37,6 +38,25 @@ for their invaluable feedback and support!
 
 Check our [ACM REP'23 keynote](https://doi.org/10.5281/zenodo.8105339) and the [white paper](https://arxiv.org/abs/2406.16791).
 
+## 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
+
+```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 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
+```
+
 ## Parent project
 
 Visit the [parent Collective Knowledge project](https://github.com/mlcommons/ck) for further details.

cmx4mlops/cmx4mlops/cmr.yaml

@@ -5,7 +5,7 @@ git: true
 
 version: "0.5.1"
 
-author: "Grigori Fursin"
+author: "Grigori Fursin and contributors"
 
 install_python_requirements: false
 

cmx4mlperf/README.md

@@ -0,0 +1 @@
+TBD

cmx4mlperf/cmx4mlperf/VERSION

@@ -0,0 +1 @@
+0.5.1

cmx4mlperf/cmx4mlperf/cmr.yaml

@@ -0,0 +1,14 @@
+alias: cmx4mlperf
+uid: 5c24e5e0ce5a457a
+
+git: true
+
+version: "0.5.1"
+
+author: "Grigori Fursin and contributors"
+
+install_python_requirements: false
+
+min_cm_version: "3.5.3"
+
+prefix: repo