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