Event planning and general information template below - To be updated by Event/Meeting Lead
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
Event Agenda/Schedule: https://events.linuxfoundation.org/lf-ai-data-day-onnx-community-virtual-meetup-spring/program/schedule/
Please submit any questions about LF AI & Data participation at this event to: outreach-committee@lists.lfaidata.foundation
Event Host Lead Name & Contact Details: Ti 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 | Deck / Recording Links |
---|---|---|---|
Wed March 24 Thur March 25 | 25m | Event Kickoff | Q&A - #onnx-general slack channel For those speakers who would like to - they are invited to make both English (required) and Chinese (optional) versions of their deck and pre-recording post-event everyone pointed to this wiki page for full recording |
5 | Welcome and opening Speaker: Ti Zhou (Baidu) | deck | |
20 | ONNX Progress Update | deck / recording | |
5:25pm PT USA 8:25am China | 100m | Community Presentations | deck / prerecording (English) optional: deck/record(Chinese) |
10m | popONNX: Support ONNX on IPU | deck / prerecording (Mar 22) | |
10m | Spring Project:Multi Backend Neural Network Auto Quantization and Deploy over ONNX | deck / prerecording (Mar 19) | |
10m | ONNX Runtime for Mobile Scenarios: From model to on-device inferencing | ||
10m | ONNX on PaddlePaddle 2.0: Broader Deployment and Richer Ecosystem | deck / recording due Mar 18 | |
10m | ONNX on microcontrollers | ||
10m | Monitoring and Explaining ONNX Models in Production | deck / prerecording (Mar 22) | |
10m | ONNX client for Acumos Speaker: Philippe Dooze (Orange-France) (picture) | ||
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) Speakers: Haihao Shen (Intel - China) and Saurabh Tangri (Intel) | ||
7:05pm PT USA 10:05am China | 10m | Break | Q&A - #onnx-general slack channel |
7:15pm PT USA 10:15am China | 45m | SIG's and WG's Updates and Discussions | deck / prerecording (English) optional:deck/record (Chinese) |
10 | Architecture/Infrastructure SIG Update Chair: Ashwini Khade (Microsoft) and Jacky Chen (Microsoft) | deck / recording1 recording 2 | |
10 | Operators SIG Update Co-Chairs: Michał Karzyński (Intel) and Ganesan Ramalingen (Microsoft) | deck / recording | |
10 | Converters SIG Update | deck / recording | |
10 | Model Zoo/Tutorials SIG Update | deck / recording | |
5 | Q&A / Open Discussions | Q&A - #onnx-general slack channel | |
8:00pm PT USA 11:00am China | Total 180 Minutes | End | Final Recording Full Event (Posted after online event) |
Q&A
Speaker | Question | Answer |
---|---|---|
Welcome | ||
Ti Zhou | ||
Sheng Za | ||
Joohoon Li | ||
Community Talks | ||
Sharma | How many of the models in ONNX model zoo have you compiled onto tinyml devices using DeepC? of the 36, have 2-3 been compiled? on what device? | |
SIG Talks | ||
Additional Community Submissions not in main program - not covered online, but thank-you to submitters who can upload deck and prerecording for community to review at their leisure
Session | Deck / Prerecording (Links) |
---|---|
My experience implementing ONNX import for GAP processors | |
How we are making it insanely easy to deploy ml/ai models from jetson nano to Azure with ONNX Contact: Mahesh Yadav (Microsoft) | deck / prerecording |
Visualizing ONNX models’ internal data: Key things to look for? Contact: Mina Amiri (Zetane) | |
Deploying 3rd Party Models in PaddlePaddle via X2Paddle Converter | deck / prerecording |
TBD Contact: Emad Barsoum (Cerebras) | deck / prerecording |