Event planning and general information template below - To be updated by Event/Meeting Lead
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Event/Meeting Details
LF AI & Data Participation Overview:
LF AI & Data Foundation is pleased to welcome you at the LF AI & Data Day* – ONNX Community Virtual Meetup – March 2021. This event will be hosted online via Zoom video conferencing on Wednesday, March 24. The event will feature the LF AI & Data hosted Graduated Project, ONNX.
The event will cover ONNX Community updates, partner/end-user stories, and SIG/WG updates. Check back for a full agenda soon.
If you are using ONNX in your services and applications, building software or hardware that supports ONNX, or contributing to ONNX, you should attend! This is a great opportunity to meet with and hear from people working with ONNX across many companies.
Note: In order to ensure the safety of our event participants and staff due to the Novel Coronavirus situation (COVID-19) the ONNX Steering Committee decided to make this a virtual-only event via Zoom.
*LF AI & Data Day is a regional, one-day event hosted and organized by local members with support from LF AI & Data and its Projects. Learn more about the LF AI & Data Foundation here.
Event Location & Date(s):
Zoom meeting on Wednesday, March 24, 2021
Event Time:
5:00 PM - 8:00 PM - PDT (Pacific Daylight Time)
Event Website: https://events.linuxfoundation.org/lf-ai-data-day-onnx-community-virtual-meetup-spring/
Event Registration: https://www.cvent.com/d/37qh6p/4W?ct=50221cf5-5496-4c34-9ec0-3b52b1bf1204&_ga=2.191814634.1770376097.1607959940-1411187557.1597333659
Please submit any questions about LF AI & Data participation at this event to: outreach-committee@lists.lfaidata.foundation
Event Lead Name & Contact Details: TBDTi Zhou (Baidu) <zhouti@baidu.com>
Planning To-Do List
Tracking for to-do items, due dates, owners, and notes
To Do | Due Date | Completed | Owner | Notes |
| Post presentations and recordings | March 25 | Event Lead | ||
| Communicate availability of the event's recordings and presentations | March 31 | LF AI & Data | -LF AI social scheduled for TBD. |
DRAFT Schedule & Presentations - to be updated
Time | Duration | Topic / Speaker |
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Deck / Recording Links | |||
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Wed March 24 Thur March 25 | 25m | Event Kickoff | All presentations in one deck |
| 5 | Welcome and opening | ||
| 20 | ONNX Progress Update | ||
5:25pm PT USA 8:25am China | 100m | Community Presentations |
deck / |
prerecording (English) optional: deck / |
prerecording (Chinese) | |||
| 10m | popONNX: Support ONNX on IPU | ||
| 10m | Spring Project：Multi Backend Neural Network Auto Quantization and Deploy over ONNX | ||
| 10m | ONNX Runtime for Mobile Scenarios: From model to on-device inferencing |
| 10m | Introcution to DL Framework PaddlePaddle and Paddle2ONNX Module, Deploying 3rd Party Models in PaddlePaddle via X2Paddle Converter | ||
| 10m | ONNX on microcontrollers | ||
| 10m | Monitoring and Explaining ONNX Models in Production | ||
| 10m | ONNX client for Acumos | ||
| 10m | Deploy ONNX model seamlessly across the cloud, edge, and mobile devices using MindSpore | ||
| 10m | ONNX Runtime Training | ||
| 10m | Quantization support for ONNX using LPOT (Low precision optimization tool) |
FINAL Recordings - to be updated
7:05pm PT USA 10:05am China | 10m | Break | |
7:15pm PT USA 10:15am China | 45m | SIG's and WG's Updates and Discussions | deck / prerecording (English) optional: deck / prerecording (Chinese) |
| 10 | Architecture/Infrastructure SIG Update. Ashwini Khade, Microsoft | ||
| 10 | Operators SIG Update. Michał Karzyński, Intel and Emad Barsoum, Microsoft | ||
| 10 | Converters SIG Update. Chin Huang, IBM and Guenther Schmuelling, Microsoft | ||
| 10 | Model Zoo/Tutorials SIG Update. Wenbing Li, Microsoft and Vinitra Swamy, Microsoft | ||
| 5 | Q&A / Open Discussions | ||
8:00pm PT USA 11:00am China | Total 180 Minutes | End | Final Recording Full Event |
Additional Community Submissions not in main program - not covered
Session | Deck / Prerecording (Links) |
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| My experience implementing ONNX import for GAP processors | deck / prerecording |
| How we are making it insanely easy to deploy ml/ai models from jetson nano to Azure with ONNX | deck / prerecording |
| Visualizing ONNX models’ internal data: Key things to look for? | deck / prerecording |
| ONNX and Milvus, the Vector database for deep learning applications | deck / prerecording |
Session