- From: Kostiainen, Anssi <anssi.kostiainen@intel.com>
- Date: Thu, 7 Jan 2021 15:03:20 +0000
- To: "public-webmachinelearning@w3.org" <public-webmachinelearning@w3.org>
- Message-ID: <B5B0A22D-8F0B-4711-A878-9AF8DD797E49@intel.com>
FIXED call-in details at: https://lists.w3.org/Archives/Member/internal-webmachinelearning/2020Apr/0000.html Thanks, -Anssi On 5. Jan 2021, at 12.52, Kostiainen, Anssi <anssi.kostiainen@intel.com<mailto:anssi.kostiainen@intel.com>> wrote: Welcome to 2021! This is the new year's first call that gets us back to our bi-weekly cadence after the break. We have developments and discussions underway that line up for an exciting start for 2021. As usual, please check out the latest agenda for any last-minute changes at: https://github.com/webmachinelearning/meetings/blob/master/telcons/2021-01-07-agenda.md Please find the agenda snapshot from below. Talk to you soon! -Anssi WebML CG Teleconference – 7 January 2021 - 15:00-16:00 UTC+0 San Francisco (U.S.A. - California) Thu, 7 January 2021 07:00 UTC-8 hours Boston (U.S.A. - Massachusetts) Thu, 7 January 2021 10:00 UTC-5 hours London (United Kingdom - England) Thu, 7 January 2021 15:00 UTC+0 hours Berlin (Germany) Thu, 7 January 2021 16:00 UTC+1 hours Helsinki (Finland) Thu, 7 January 2021 17:00 UTC+2 hours Shanghai (China) Thu, 7 January 2021 23:00 UTC+8 hours Tokyo (Japan) Fri, 8 January 2021 00:00 UTC+9 hours Corresponding UTC (GMT) Thu, 7 January 2021 15:00 UTC Other locations: https://www.timeanddate.com/worldclock/fixedtime.html?iso=20210107T15 <https://github.com/webmachinelearning/meetings/blob/master/telcons/2021-01-07-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/2021Apr/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/2021/01/07-webmachinelearning-minutes.html <https://github.com/webmachinelearning/meetings/blob/master/telcons/2021-01-07-agenda.md#agenda>Agenda <https://github.com/webmachinelearning/meetings/blob/master/telcons/2021-01-07-agenda.md#webnn-api-tag-review-progress-report>WebNN API TAG review progress report Review TAG review feedback: https://github.com/w3ctag/design-reviews/issues/570 <https://github.com/webmachinelearning/meetings/blob/master/telcons/2021-01-07-agenda.md#security-and-privacy-considerations>Security and Privacy considerations Review proposed questionnaire responses, fill in TBDs: https://github.com/webmachinelearning/webnn/issues/119 Discuss Security and Privacy considerations for the spec: https://github.com/webmachinelearning/webnn/issues/122 Review TAG guidelines: https://www.w3.org/TR/security-privacy-questionnaire/#considerations <https://github.com/webmachinelearning/meetings/blob/master/telcons/2021-01-07-agenda.md#support-style-transfer-models>Support style transfer models Review PR: https://github.com/webmachinelearning/webnn/pull/123 <https://github.com/webmachinelearning/meetings/blob/master/telcons/2021-01-07-agenda.md#dynamic-shape-inference>Dynamic shape inference Discuss proposal: https://github.com/webmachinelearning/webnn/issues/124 <https://github.com/webmachinelearning/meetings/blob/master/telcons/2021-01-07-agenda.md#webnn-conv2d-layout-parameter-tensorflow-incompatibility>WebNN conv2d layout parameter TensorFlow incompatibility Discuss issue, solicit proposals: https://github.com/webmachinelearning/webnn/issues/125 <https://github.com/webmachinelearning/meetings/blob/master/telcons/2021-01-07-agenda.md#super-resolution-models>Super-resolution models Discuss proposal: https://github.com/webmachinelearning/webnn/issues/127 <https://github.com/webmachinelearning/meetings/blob/master/telcons/2021-01-07-agenda.md#int8-quantized-models>int8 quantized models Discuss proposal: https://github.com/webmachinelearning/webnn/issues/128 <https://github.com/webmachinelearning/meetings/blob/master/telcons/2021-01-07-agenda.md#conformance-testing-of-webnn-api>Conformance testing of WebNN API Discuss conformance testing of operations, integration of web-platform-tests with NNAPI CTS Review PR for generated NNAPI CTS: https://github.com/webmachinelearning/webnn-polyfill/pull/29 Review PR for SqueezeNet model test: https://github.com/webmachinelearning/webnn-polyfill/pull/32 Web-platform-tests framework for writing test cases: https://web-platform-tests.org/writing-tests/testharness.html https://web-platform-tests.org/writing-tests/idlharness.html Background discussed at workshop: https://github.com/w3c/machine-learning-workshop/issues/80 <https://github.com/webmachinelearning/meetings/blob/master/telcons/2021-01-07-agenda.md#nsnet2-sample>NSNet2 sample Discuss the sample of NSNet2 which is one of the first-wave models and used in explainer key scenarios Review PR of NSNet2 PR: https://github.com/webmachinelearning/webnn-samples/pull/22 Update the NSNet sample code of explainer to NSNet2: https://github.com/webmachinelearning/webnn/blob/master/explainer.md#key-scenarios Potential memory leaking issue of webnn-polyfill using tf.js WebGL backend: https://github.com/webmachinelearning/webnn-samples/pull/22#issuecomment-730217119 <https://github.com/webmachinelearning/meetings/blob/master/telcons/2021-01-07-agenda.md#proposals-for-future-work>Proposals for future work Discuss new 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
Received on Thursday, 7 January 2021 15:03:40 UTC