- From: Dwayne Robinson <notifications@github.com>
- Date: Fri, 16 Feb 2024 16:46:50 -0800
- To: whatwg/webidl <webidl@noreply.github.com>
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Received on Saturday, 17 February 2024 00:46:54 UTC
We have 3 use cases in WebNN where we need to be able to accept full precision from the API and retain it passed all the way down to the bottom, because float64 cannot express the full precision of int64. - adding padding (https://github.com/webmachinelearning/webnn/issues/442) - clamping a range (https://github.com/webmachinelearning/webnn/issues/442) - filling in a tensor with sequential values (https://github.com/webmachinelearning/webnn/issues/492) Since this issue is closed, should I open a new one, per the wording here that @inexorabletash pointed out? https://webidl.spec.whatwg.org/#limit-bigint-numeric-unions > It would not be appropriate to accept such a union, only to then convert values of the numeric type to a bigint for further processing, as this runs the risk of introducing precision errors. Please [file an issue](https://github.com/whatwg/webidl/issues/new?title=Intent%20to%20use%20bigint/numeric%20union) before using this feature. -- Reply to this email directly or view it on GitHub: https://github.com/whatwg/webidl/issues/959#issuecomment-1949544428 You are receiving this because you are subscribed to this thread. Message ID: <whatwg/webidl/issues/959/1949544428@github.com>
Received on Saturday, 17 February 2024 00:46:54 UTC