With this toolkit, ONNX models can be compiled in python, specifying needed args and compiled ONNX models can be immediately tested in python. Besides, a user can display graph details, including whether an operation will use available accelerators and also access graph attributes via python API.
The directory structure in this GitHub is to allow the project to have all its resources self-contained. Open Source software should not just be a repository of code. There are a number of directories to help you and others that will follow in your foot steps. It'll also allow the Linux Foundation OMP Mentorship program to keep track of your project and get a better understanding of the problems you encountered during the developmemnt of this project.
| Folder | Description |
|---|---|
| Documentation | all documentation the project team has created to describe the architecture, design, installation and configuratin of the peoject |
| Notes and Research | Relavent information useful to understand the tools and techniques used in the project |
| Status Reports | Project management documentation - weekly reports, milestones, etc. |
| scr | Source code - create as many subdirectories as needed |
- Mentor's Name - IBM - Andrew Sica
- Mentor's Name - IBM - Gong Su
- Mentor's Name - IBM - Charles Volzka
- Mentee's Name - Arizona State University - Jiaqing Chen
- Mentee's Name - Delhi Technological University - Jatin Pandey