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Bug fix: Correct a handful of typos/JS errors in decompositions (#699)
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SHA: f133ff0
Reason: push, by fdwr

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
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inexorabletash and github-actions[bot] committed Jun 5, 2024
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<link href="https://www.w3.org/StyleSheets/TR/2021/W3C-ED" rel="stylesheet">
<meta content="Bikeshed version 82ce88815, updated Thu Sep 7 16:33:55 2023 -0700" name="generator">
<link href="https://www.w3.org/TR/webnn/" rel="canonical">
<meta content="91e24076992e9db35c244d89e14f9f4dd149160e" name="document-revision">
<meta content="f133ff02d22389af2dc947154309fed244684327" name="document-revision">
<style>
/* Make <dl> blocks more distinct from their surroundings. */
main dl:not(.switch) {
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<div class="head">
<p data-fill-with="logo"><a class="logo" href="https://www.w3.org/"> <img alt="W3C" height="48" src="https://www.w3.org/StyleSheets/TR/2021/logos/W3C" width="72"> </a> </p>
<h1 class="p-name no-ref" id="title">Web Neural Network API</h1>
<p id="w3c-state"><a href="https://www.w3.org/standards/types#ED">Editor’s Draft</a>, <time class="dt-updated" datetime="2024-06-04">4 June 2024</time></p>
<p id="w3c-state"><a href="https://www.w3.org/standards/types#ED">Editor’s Draft</a>, <time class="dt-updated" datetime="2024-06-05">5 June 2024</time></p>
<details open>
<summary>More details about this document</summary>
<div data-fill-with="spec-metadata">
Expand Down Expand Up @@ -4975,7 +4975,7 @@ <h4 class="heading settled" data-level="7.8.22" id="api-mlgraphbuilder-hard-sigm
builder<c- p>.</c->min<c- p>(</c->
builder<c- p>.</c->add<c- p>(</c->
builder<c- p>.</c->mul<c- p>(</c->builder<c- p>.</c->constant<c- p>(</c->input<c- p>.</c->dataType<c- p>,</c-> options<c- p>.</c->alpha<c- p>),</c-> input<c- p>),</c->
builder<c- p>.</c->constant<c- p>(</c->options<c- p>.</c->beta<c- p>)),</c->
builder<c- p>.</c->constant<c- p>(</c->input<c- p>.</c->dataType<c- p>,</c-> options<c- p>.</c->beta<c- p>)),</c->
builder<c- p>.</c->constant<c- p>(</c->input<c- p>.</c->dataType<c- p>,</c-> <c- mf>1</c-><c- p>)),</c->
builder<c- p>.</c->constant<c- p>(</c->input<c- p>.</c->dataType<c- p>,</c-> <c- mf>0</c-><c- p>));</c->
</pre>
Expand Down Expand Up @@ -5233,19 +5233,25 @@ <h4 class="heading settled" data-level="7.8.24" id="api-mlgraphbuilder-instancen
<c- p>};</c->
<c- a>const</c-> mean <c- o>=</c-> builder<c- p>.</c->reduceMean<c- p>(</c->input<c- p>,</c-> reduceOptions<c- p>);</c->
<c- a>const</c-> variance <c- o>=</c-> builder<c- p>.</c->reduceMean<c- p>(</c->
builder<c- p>.</c->pow<c- p>(</c->builder<c- p>.</c->sub<c- p>(</c->input<c- p>,</c-> mean<c- p>),</c-> buider<c- p>.</c->constant<c- p>(</c->input<c- p>.</c->dataType<c- p>,</c-> <c- mf>2</c-><c- p>)),</c->
reduceOptions<c- p>);</c->
builder<c- p>.</c->pow<c- p>(</c->
builder<c- p>.</c->sub<c- p>(</c->input<c- p>,</c-> mean<c- p>),</c->
builder<c- p>.</c->constant<c- p>(</c->input<c- p>.</c->dataType<c- p>,</c-> <c- mf>2</c-><c- p>)),</c->
reduceOptions
<c- p>);</c->

<c- c1>// The scale and bias values are applied per input feature</c->
<c- c1>// e.g. axis 1 of the input tensor.</c->
<c- a>const</c-> shape <c- o>=</c-> <c- p>[</c-><c- mf>1</c-><c- p>,</c-> input<c- p>.</c->shape<c- p>()[</c-><c- mf>1</c-><c- p>],</c-> <c- mf>1</c-><c- p>,</c-> <c- mf>1</c-><c- p>];</c->
<c- k>return</c-> builder<c- p>.</c->add<c- p>(</c->
builder<c- p>.</c->mul<c- p>(</c->
builder<c- p>.</c->reshape<c- p>(</c->options<c- p>.</c->scale<c- p>,</c-> shape<c- p>),</c->
builder<c- p>.</c->div<c- p>(</c->
builder<c- p>.</c->sub<c- p>(</c->input<c- p>,</c-> mean<c- p>),</c->
buidler<c- p>.</c->sqrt<c- p>(</c->builder<c- p>.</c->add<c- p>(</c->variance<c- p>,</c-> options<c- p>.</c->epsilon<c- p>)))),</c->
builder<c- p>.</c->reshape<c- p>(</c->options<c- p>.</c->bias<c- p>,</c-> shape<c- p>));</c->
builder<c- p>.</c->mul<c- p>(</c->
builder<c- p>.</c->reshape<c- p>(</c->options<c- p>.</c->scale<c- p>,</c-> shape<c- p>),</c->
builder<c- p>.</c->div<c- p>(</c->
builder<c- p>.</c->sub<c- p>(</c->input<c- p>,</c-> mean<c- p>),</c->
builder<c- p>.</c->sqrt<c- p>(</c->builder<c- p>.</c->add<c- p>(</c->variance<c- p>,</c-> options<c- p>.</c->epsilon<c- p>))</c->
<c- p>)</c->
<c- p>),</c->
builder<c- p>.</c->reshape<c- p>(</c->options<c- p>.</c->bias<c- p>,</c-> shape<c- p>)</c->
<c- p>);</c->
</pre>
</details>
</div>
Expand Down Expand Up @@ -5371,18 +5377,24 @@ <h4 class="heading settled" data-level="7.8.25" id="api-mlgraphbuilder-layernorm
<c- p>};</c->
<c- a>const</c-> mean <c- o>=</c-> builder<c- p>.</c->reduceMean<c- p>(</c->input<c- p>,</c-> reduceOptions<c- p>);</c->
<c- a>const</c-> variance <c- o>=</c-> builder<c- p>.</c->reduceMean<c- p>(</c->
builder<c- p>.</c->pow<c- p>(</c->builder<c- p>.</c->sub<c- p>(</c->input<c- p>,</c-> mean<c- p>),</c-> buider<c- p>.</c->constant<c- p>(</c->input<c- p>.</c->dataType<c- p>,</c-> <c- mf>2</c-><c- p>)),</c->
reduceOptions<c- p>);</c->
builder<c- p>.</c->pow<c- p>(</c->
builder<c- p>.</c->sub<c- p>(</c->input<c- p>,</c-> mean<c- p>),</c->
builder<c- p>.</c->constant<c- p>(</c->input<c- p>.</c->dataType<c- p>,</c-> <c- mf>2</c-><c- p>)),</c->
reduceOptions
<c- p>);</c->

<c- c1>// The scale and bias tensors are of the shape of the input dimensions specified</c->
<c- c1>// The scale and bias tensors are of the shape of the input dimensions specified </c->
<c- c1>// by the values in the axes parameter (i.e. [1,2,3]).</c->
<c- k>return</c-> builder<c- p>.</c->add<c- p>(</c->
builder<c- p>.</c->mul<c- p>(</c->
options<c- p>.</c->scale<c- p>,</c->
builder<c- p>.</c->div<c- p>(</c->
builder<c- p>.</c->sub<c- p>(</c->input<c- p>,</c-> mean<c- p>),</c->
buidler<c- p>.</c->sqrt<c- p>(</c->builder<c- p>.</c->add<c- p>(</c->variance<c- p>,</c-> options<c- p>.</c->epsilon<c- p>)))),</c->
options<c- p>.</c->bias<c- p>);</c->
builder<c- p>.</c->mul<c- p>(</c->
options<c- p>.</c->scale<c- p>,</c->
builder<c- p>.</c->div<c- p>(</c->
builder<c- p>.</c->sub<c- p>(</c->input<c- p>,</c-> mean<c- p>),</c->
builder<c- p>.</c->sqrt<c- p>(</c->builder<c- p>.</c->add<c- p>(</c->variance<c- p>,</c-> options<c- p>.</c->epsilon<c- p>))</c->
<c- p>)</c->
<c- p>),</c->
options<c- p>.</c->bias
<c- p>);</c->
</pre>
</details>
</div>
Expand Down Expand Up @@ -7297,11 +7309,11 @@ <h4 class="heading settled" data-level="7.8.37" id="api-mlgraphbuilder-reshape-m
<c- k>return</c-> builder<c- p>.</c->reshape<c- p>(</c->input<c- p>,</c-> shape<c- p>);</c->
<c- p>}</c->

<c- c1>// Flattens input by reshaping it into a one-dimensional tensor. </c->
<c- c1>// Flattens input by reshaping it into a one-dimensional tensor.</c->
<c- a>function</c-> flatten<c- p>(</c->input<c- p>,</c-> axis<c- p>)</c-> <c- p>{</c->
<c- k>if</c-> <c- p>(</c->axis <c- o>></c-> input<c- p>.</c->shape<c- p>().</c->length<c- p>)</c-> <c- k>return</c-> input<c- p>;</c->
<c- a>let</c-> before <c- o>=</c-> axis<c- p>.</c->slice<c- p>(</c-><c- mf>0</c-><c- p>,</c-> axis<c- p>).</c->reduce<c- p>((</c->a<c- p>,</c-> b<c- p>)</c-> <c- p>=></c-> <c- p>{</c-> a <c- o>*</c-> b<c- p>;</c-> <c- p>});</c->
<c- a>let</c-> after <c- o>=</c-> axis<c- p>.</c->slice<c- p>(</c->axis<c- p>,</c-> input<c- p>.</c->shape<c- p>().</c->length<c- p>).</c->reduce<c- p>((</c->a<c- p>,</c-> b<c- p>)</c-> <c- p>=></c-> <c- p>{</c-> a <c- o>*</c-> b<c- p>;</c-> <c- p>});</c->
<c- a>let</c-> before <c- o>=</c-> axis<c- p>.</c->slice<c- p>(</c-><c- mf>0</c-><c- p>,</c-> axis<c- p>).</c->reduce<c- p>((</c->a<c- p>,</c-> b<c- p>)</c-> <c- p>=></c-> a <c- o>*</c-> b<c- p>);</c->
<c- a>let</c-> after <c- o>=</c-> axis<c- p>.</c->slice<c- p>(</c->axis<c- p>,</c-> input<c- p>.</c->shape<c- p>().</c->length<c- p>).</c->reduce<c- p>((</c->a<c- p>,</c-> b<c- p>)</c-> <c- p>=></c-> a <c- o>*</c-> b<c- p>);</c->
<c- k>return</c-> builder<c- p>.</c->reshape<c- p>(</c->input<c- p>,</c-> <c- p>[</c->before<c- p>,</c-> after<c- p>]);</c->
<c- p>}</c->
</pre>
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