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This tutorial was prepared during a public Collective Knowledge challenge to reproduce results from the IPOL'22 439 journal article using the MLCommons CM automation language.
Please check the CM introduction to understand CM motivation and concepts.
- Jose Hernandez
- Miguel Colom
- Grigori Fursin
- cTuning foundation
- cKnowledge Ltd
- mlcommons#617
- https://access.cknowledge.org/playground/?action=challenges&name=reproduce-and-automate-ipol-paper
We have implemented two portable CM scripts to automate reproducibility on any platform:
- Download IPOL paper sources and cache them in CM
- Run IPOL 2022 439 paper demo using above script and PyTorch
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Install MLCommons CM(CK2) automation framework as described here.
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Install the latest MLCommons repository with reusable CM scripts:
cm pull repo mlcommons@ck
- Install author sources from IPOL 2022 439 paper using CM:
cm run script "get ipol src" --year=2022 --number=439
cm show cache --tags=ipol,src
- Run script to install dependencies and reproduce results
cm run script "reproduce ipol 2022-439"
This script will use these sample images and should produce a diff.png file in the current directory.
You can use any other 2 images by specifying their full path as follows:
cm run script "reproduce ipol 2022-439" \
--image1={full path to png image 1} \
--image2={full path to png image 2}