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onnx-dojo

The repo is for the ONNX Dojo training course. It is organized with presentations, participants, and materials for the lab exercises in sub-folders.

Agenda:

Day 1 (Morning) 8am - 11am, Pacific

  • Opening - Chin Huang
  • Open Source at IBM - 15 min. https://ibm.ent.box.com/file/656007169789
  • Git hands-on - 60 min. Chin Huang
  • Introduction to ONNX - 45 min. Chin Huang
  • ONNX training - 30 min. Svetlana Levitan

Day 1 (Afternoon) 11:30am - 2:30pm, Pacific

  • ONNX Community and Contributor Resources - 15 min. Chin Huang
  • Overview of ONNX GitHub repositories - 30 min. Chin Huang
  • ONNX Development Environment with hands-on - 30 min. Chin Huang
  • High level code walk-through of major components ONNX-Tensorflow converter - 45 min. Winnie Tsang
  • Open Lab: Run ONNX ResNet model in Tensorflow - 45 min. Chin Huang

Day 2 (Morning) 8am - 11am, Pacific

  • PR creation walk-through in ONNX-Tensorflow - 30 min. Winnie Tsang
  • Open Lab: Develop support for a new/updated operator - 30 min. Winnie Tsang
  • ONNX-MLIR overview - 60 min. Tian Jin
  • ONNX-MLIR tutorials/code walkthrough - 45 min. Tian Jin
  • Wrap up - Chin Huang 

Lab exercises:

System requirements: Mac, Linux, or Windows 10 with Subsystem for Linux (Ubuntu 18.0.4)

Prereqs: python3, git, cmake, protobuf-compiler libprotoc-dev

  • Exercise 1: git - Get familiar with git from fork to PR
  • Exercise 2: resnet - Run ResNet model in Tensorflow
  • Exercise 3: constant_pr - Develop support for a new/updated operator

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