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v2.0.8 release
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Grigori Fursin authored and Grigori Fursin committed May 15, 2021
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2 changes: 1 addition & 1 deletion CHANGES.txt
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* V2.0.7.1
* V2.0.8
* added requirements.txt file with pyyaml
* simplified setup.py script
* added incubating projects to simplify CK
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2 changes: 1 addition & 1 deletion ck/kernel.py
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# We use 3 digits for the main (released) version and 4th digit for development revision
__version__ = "2.0.7.1"
__version__ = "2.0.8"
# Do not use characters (to detect outdated version)!

# Import packages that are global for the whole kernel
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62 changes: 31 additions & 31 deletions docs/mlperf-automation/README.md
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# MLPerf inference benchmark automation guide

This document is prepared by the [MLCommons™ community](https://mlcommons.org)
to make it easier to reproduce MLPerf™ benchmark results and automate new submissions
using the open-source [CK workflow framework](https://github.com/ctuning/ck).

* [Prepare your platform](platform/README.md)
* [Install CK framework](tools/ck.md)
* [Install CK virtual environment (optional)](tools/ck-venv.md)
* [Use adaptive CK container](tools/ck-docker.md)
* [**Prepare and run native MLPerf™**](tasks/README.md)
* [Integrate CK workflows with CI platforms](tools/continuous-integration.md)
* [Analyze MLPerf inference results](results/README.md)
* [Example of CK dashboards for ML Systems DSE](results/ck-dashboard.md)
* [Reproduce MLPerf™ results and DSE](reproduce/README.md)
* [Use CK with MLCube™](tools/mlcube.md)
* [Test models with a webcam](reproduce/demo-webcam-object-detection-x86-64.md)
* [Explore ML Systems designs (AutoDSE)](dse/README.md)
* [Submit to MLPerf™](submit/README.md)
* [Related tools](tools/README.md)
* Further improvements:
* [Standardization of MLPerf™ workflows](tbd/standardization.md)
* [More automation](tbd/automation.md)
* [CK2 ideas](tbd/ck2.md)

*Please feel free to contribute to this collaborative doc by sending your PR [here]( https://github.com/ctuning/ck/pulls )! Thank you!*

# Feedback

Contact [Grigori Fursin](https://cKnowledge.io/@gfursin) ([OctoML.ai](https://octoml.ai), [MLCommons™ member](https://mlcommons.org))

# MLPerf inference benchmark automation guide

This document is prepared by the [MLCommons™ community](https://mlcommons.org)
to make it easier to reproduce MLPerf™ benchmark results and automate new submissions
using the open-source [CK workflow framework](https://github.com/ctuning/ck).

* [Prepare your platform](platform/README.md)
* [Install CK framework](tools/ck.md)
* [Install CK virtual environment (optional)](tools/ck-venv.md)
* [Use adaptive CK container](tools/ck-docker.md)
* [**Prepare and run native MLPerf™**](tasks/README.md)
* [Integrate CK workflows with CI platforms](tools/continuous-integration.md)
* [Analyze MLPerf inference results](results/README.md)
* [Example of CK dashboards for ML Systems DSE](results/ck-dashboard.md)
* [**Reproduce MLPerf™ results and DSE**](reproduce/README.md)
* [Use CK with MLCube™](tools/mlcube.md)
* [Test models with a webcam](reproduce/demo-webcam-object-detection-x86-64.md)
* [Explore ML Systems designs (AutoDSE)](dse/README.md)
* [Submit to MLPerf™](submit/README.md)
* [Related tools](tools/README.md)
* Further improvements:
* [Standardization of MLPerf™ workflows](tbd/standardization.md)
* [More automation](tbd/automation.md)
* [CK2 ideas](tbd/ck2.md)

*Please feel free to contribute to this collaborative doc by sending your PR [here]( https://github.com/ctuning/ck/pulls )! Thank you!*

# Feedback

Contact [Grigori Fursin](https://cKnowledge.io/@gfursin) ([OctoML.ai](https://octoml.ai), [MLCommons™ member](https://mlcommons.org))

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