- From: Kostiainen, Anssi <anssi.kostiainen@intel.com>
- Date: Thu, 28 Mar 2024 11:57:22 +0000
- To: "public-webmachinelearning-wg@w3.org" <public-webmachinelearning-wg@w3.org>
- Message-ID: <89A525EC-6D7A-4902-88F7-A7B3823D204A@intel.com>
Latest version: https://github.com/webmachinelearning/meetings/blob/main/telcons/2024-04-04-wg-agenda.md WebML WG Teleconference – 4 April 2024 - 14:00-15:00 UTC <https://github.com/webmachinelearning/meetings/blob/main/telcons/2024-04-04-wg-agenda.md#webml-wg-teleconference--4-april-2024---1400-1500-utc> ⏰ This is a semi-annual reminder of the Daylight Saving Time (DST) change<https://www.timeanddate.com/time/dst/2024a.html>. Please note the adjusted time for the locations annotated with "⏰ adjusted for DST". See the timezone table ... San Francisco Thu, 4 April 2024 07:00 UTC-7 hours (⏰ adjusted for DST) Boston Thu, 4 April 2024 10:00 UTC-4 hours (⏰ adjusted for DST) London Thu, 4 April 2024 15:00 UTC+1 hours (⏰ adjusted for DST) Berlin Thu, 4 April 2024 16:00 UTC+2 hours (⏰ adjusted for DST) Helsinki Thu, 4 April 2024 17:00 UTC+3 hours (⏰ adjusted for DST) Shanghai Thu, 4 April 2024 22:00 UTC+8 hours Tokyo Thu, 4 April 2024 23:00 UTC+9 hours UTC Thu, 4 April 2024 14:00 UTC Other locations: https://www.timeanddate.com/worldclock/fixedtime.html?iso=20240404T14 Logistics <https://github.com/webmachinelearning/meetings/blob/main/telcons/2024-04-04-wg-agenda.md#logistics> * Chair: Anssi * Scribe: ? (see howto<https://github.com/webmachinelearning/meetings/blob/main/scribe-howto.md>, volunteers welcome!) * IRC: irc://irc.w3.org:6667/#webmachinelearning * IRC web client: https://irc.w3.org/?channels=#webmachinelearning * Joining instructions: https://lists.w3.org/Archives/Member/internal-webmachinelearning/2023Jun/0000.html * Minutes: https://www.w3.org/2024/04/04-webmachinelearning-minutes.html Agenda <https://github.com/webmachinelearning/meetings/blob/main/telcons/2024-04-04-wg-agenda.md#agenda> ℹ️ NPU support discussion <https://github.com/webmachinelearning/meetings/blob/main/telcons/2024-04-04-wg-agenda.md#%E2%84%B9%EF%B8%8F-npu-support-discussion> The goal of this discussion is to revisit the problem space for NPU support for WebNN, review the high-level proposal for the key elements of the design, gather feedback and signals from the group regarding interest, scope, priority. NPU device type and support for quantized models have been explored in the group prior and have been awaiting implementation experience. * ⨀ WebNN should support NPU and QDQ operations webmachinelearning/webnn#623<https://github.com/webmachinelearning/webnn/issues/623> Related: * ⨀ WebNN should support int8 quantized models webmachinelearning/webnn#128<https://github.com/webmachinelearning/webnn/issues/128> * ⨀ API simplification: context types, context options, createContext() webmachinelearning/webnn#302<https://github.com/webmachinelearning/webnn/issues/302> ℹ️ Hybrid AI exploration update <https://github.com/webmachinelearning/meetings/blob/main/telcons/2024-04-04-wg-agenda.md#%E2%84%B9%EF%B8%8F-hybrid-ai-exploration-update> A brief update from the project team on the proof-of-concept informed by the group's feedback. * ⨀ Hybrid AI exploration webmachinelearning/proposals#5<https://github.com/webmachinelearning/proposals/issues/5> ℹ️ Open issues and PRs <https://github.com/webmachinelearning/meetings/blob/main/telcons/2024-04-04-wg-agenda.md#%E2%84%B9%EF%B8%8F-open-issues-and-prs> Discuss open issues and review PRs based on your feedback: * ⨀ All open issues<https://github.com/webmachinelearning/webnn/issues> * ⛙ All open pull requests<https://github.com/webmachinelearning/webnn/pulls> A curated shortlist of recently discussed issues below. If any are addressed prior to the meeting, we'll debrief the group on the changes to keep everyone up to date with significant developments. Please refer to the triage guidance<https://github.com/webmachinelearning/webnn/blob/main/docs/IssueTriage.md> for more on our triage practices. 🏷️ Debrief on PRs merged recently <https://github.com/webmachinelearning/meetings/blob/main/telcons/2024-04-04-wg-agenda.md#%EF%B8%8F-debrief-on-prs-merged-recently> The editors and PR authors will debrief the group on substantive PRs that got merged in the last few weeks, answer question from the group. * ⛙ Recently merged PRs<https://github.com/webmachinelearning/webnn/pulls?q=is%3Apr+is%3Amerged> 🏷️ bug<https://github.com/webmachinelearning/webnn/labels/bug> <https://github.com/webmachinelearning/meetings/blob/main/telcons/2024-04-04-wg-agenda.md#%EF%B8%8F-bug> * Need clarify scale factor for resample2d * ⨀ webmachinelearning/webnn#610<https://github.com/webmachinelearning/webnn/issues/610> * ☰ Overflow handling convention preferences? * Synchronously validate input operands/activations * ⨀ webmachinelearning/webnn#572<https://github.com/webmachinelearning/webnn/issues/572> * ☰ Introduce structure in op creation? 🏷️ question<https://github.com/webmachinelearning/webnn/labels/question> <https://github.com/webmachinelearning/meetings/blob/main/telcons/2024-04-04-wg-agenda.md#%EF%B8%8F-question> * Allow no-op graphs? * ⨀ webmachinelearning/webnn#614<https://github.com/webmachinelearning/webnn/issues/614> * ☰ Review issue discussion * Graph with no input * ⨀ webmachinelearning/webnn#615<https://github.com/webmachinelearning/webnn/issues/615> * ☰ Emerging consensus use cases exists, proposal to keep support * Can an MLGraphBuilder be reused? * ⨀ webmachinelearning/webnn#567<https://github.com/webmachinelearning/webnn/issues/567> * ☰ Review issue discussion * Consider adopting new broadcasting rules * ⨀ webmachinelearning/webnn#590<https://github.com/webmachinelearning/webnn/issues/590> * ☰ Gentle nudge: feedback on proposed options for broadcasting rules: 1) NumPy's 2) XLA's 3) keep current 4) adjust current * Is "validate graph resources" backwards? * ⨀ webmachinelearning/webnn#602<https://github.com/webmachinelearning/webnn/issues/602> * ⛙ PR expected using a reflexive test * ☰ Review PR * Need clarify the usage of axes=[0,1] for resample2d * ⨀ webmachinelearning/webnn#624<https://github.com/webmachinelearning/webnn/issues/624> * ☰ Implementation experience informed question 🏷️ feature request<https://github.com/webmachinelearning/webnn/labels/feature%20request> <https://github.com/webmachinelearning/meetings/blob/main/telcons/2024-04-04-wg-agenda.md#%EF%B8%8F-feature-request> * Gaussian error linear unit (GELU) activation * ⨀ webmachinelearning/webnn#626<https://github.com/webmachinelearning/webnn/issues/626> * ☰ Required by well-known transform models 🏷️ conventions<https://github.com/webmachinelearning/webnn/labels/conventions> <https://github.com/webmachinelearning/meetings/blob/main/telcons/2024-04-04-wg-agenda.md#%EF%B8%8F-conventions> No major issues at this time.
Received on Thursday, 28 March 2024 11:57:38 UTC