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Update Status of this document for CR Snapshot
This status text is a high-level summary for busy people. - Implementation experience update - Significant new & removed features, use cases, conventions update - Significant new features in development, MLBuffer Co-authored-by: Dominique Hazael-Massieux <[email protected]>
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Logo: https://webmachinelearning.github.io/webmachinelearning-logo.png
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Deadline: 2023-10-01
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Status Text: <p>
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Further implementation experience and user feedback is being gathered for the
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{{MLCommandEncoder}} interface that proposes to enable more efficient WebGPU
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integration. A proposal to
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<a href="https://github.com/webmachinelearning/webnn/pull/322">simplify
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MLContext creation</a> is being discussed. This document is maintained and
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Since the <a href="https://www.w3.org/TR/2023/CR-webnn-20230330/">initial Candidate Recommendation Snapshot</a> the Working Group has gathered further <a href="https://webmachinelearning.github.io/webnn-status/">implementation experience</a> and added new operations and data types needed for well-known <a href="https://github.com/webmachinelearning/webnn/issues/375">transformers to support generative AI use cases</a>. In addition, informed by this implementation experience, the group removed <code>MLCommandEncoder</code></a>, support for synchronous execution, and higher-level operations that can be expressed in terms of lower-level primitives in a performant manner. The group has also updated the specification to use modern authoring conventions to improve interoperability and precision of normative definitions.
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The group is developing a new feature, a <a href="https://github.com/webmachinelearning/webnn/issues/482">backend-agnostic storage type</a>, to improve performance and interoperability between the WebNN, WebGPU APIs and purpose-built hardware for ML and expects to republish this document as a Candidate Recommendation Snapshot when ready for implementation.
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This document is maintained and
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updated at any time. Some parts of this document are work in progress and
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further improvements are expected to be reflected in revised Candidate
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Recommendation Drafts and Snaphots.

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