- From: Kostiainen, Anssi <anssi.kostiainen@intel.com>
- Date: Thu, 14 Jan 2021 11:45:38 +0000
- To: "public-webmachinelearning@w3.org" <public-webmachinelearning@w3.org>
- Message-ID: <AF258D88-3FE6-4B73-97DB-41231B372445@intel.com>
https://github.com/webmachinelearning/meetings/blob/master/telcons/2021-01-21-agenda.md WebML CG Teleconference – 21 January 2021 - 15:00-16:00 UTC+0 San Francisco (U.S.A. - California) Thu, 21 January 2021 07:00 UTC-8 hours Boston (U.S.A. - Massachusetts) Thu, 21 January 2021 10:00 UTC-5 hours London (United Kingdom - England) Thu, 21 January 2021 15:00 UTC+0 hours Berlin (Germany) Thu, 21 January 2021 16:00 UTC+1 hours Helsinki (Finland) Thu, 21 January 2021 17:00 UTC+2 hours Shanghai (China) Thu, 21 January 2021 23:00 UTC+8 hours Tokyo (Japan) Fri, 8 January 2021 00:00 UTC+9 hours Corresponding UTC (GMT) Thu, 21 January 2021 15:00 UTC Other locations: https://www.timeanddate.com/worldclock/fixedtime.html?iso=20210121T15 <https://github.com/webmachinelearning/meetings/blob/master/telcons/2021-01-21-agenda.md#logistics>Logistics * Chair: Anssi * Scribe: ? * IRC: irc://irc.w3.org:6667/#webmachinelearning * IRC web client: http://irc.w3.org/?channels=#webmachinelearning * Call-in details: https://lists.w3.org/Archives/Member/internal-webmachinelearning/2020Apr/0000.html (login with your W3C account<https://www.w3.org/Help/Account/>) - Zoom app install<https://zoom.us/download> recommended * Minutes: https://www.w3.org/2021/01/21-webmachinelearning-minutes.html <https://github.com/webmachinelearning/meetings/blob/master/telcons/2021-01-21-agenda.md#agenda>Agenda <https://github.com/webmachinelearning/meetings/blob/master/telcons/2021-01-21-agenda.md#webnn-native>webnn-native Present the proposed standalone native implementation of the WebNN API spec called webnn-native that complements the JS implementation webnn-polyfill. Both the implementations help inform the API spec development, validate implementability atop native APIs (initial targets OpenVINO and DirectML, extensible with other backends), and provide a performance benchmark. (Ningxin) Discuss the proposal to adopt webnn-native as a CG deliverable similarly to webnn-polyfill. No CG Charter changes needed, is considered "Other Software" per the existing charter text. <https://github.com/webmachinelearning/meetings/blob/master/telcons/2021-01-21-agenda.md#webnn-conv2d-layout-parameter-tensorflow-incompatibility>WebNN conv2d layout parameter TensorFlow incompatibility Discuss and gather further feedback on TF, TF Lite, and TF.js preference for input and filter layout approach in WebNN API: https://github.com/webmachinelearning/webnn/issues/125 <https://github.com/webmachinelearning/meetings/blob/master/telcons/2021-01-21-agenda.md#numerical-precision-in-conformance-testing>Numerical precision in conformance testing Discuss and solicit insights on difference between TF.js WebGL and CPU/Wasm backends: https://github.com/webmachinelearning/webnn-polyfill/pull/32 <https://github.com/webmachinelearning/meetings/blob/master/telcons/2021-01-21-agenda.md#nsnet2-sample-and-tfjs-memory-leak>NSNet2 sample and TF.js memory leak Check TF.js upstream blocker status and discuss any other opens blocking PR: https://github.com/webmachinelearning/webnn-samples/pull/22 https://github.com/tensorflow/tfjs/issues/4378 <https://github.com/webmachinelearning/meetings/blob/master/telcons/2021-01-21-agenda.md#proposals-for-future-work>Proposals for future work Continue discuss proposals submitted for consideration for future work: * Data processing: https://github.com/webmachinelearning/proposals/issues/1 * Operation-specific APIs: https://github.com/webmachinelearning/proposals/issues/2 <https://github.com/webmachinelearning/meetings/blob/master/telcons/2021-01-21-agenda.md#security-and-privacy-considerations>Security and Privacy considerations Last Call to review the proposed responses to the Self-Review Questionnaire for Security and Privacy: https://github.com/webmachinelearning/webnn/issues/119
Received on Thursday, 14 January 2021 11:45:58 UTC