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    <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="2024-03-27">27 March 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="2024-03-28">28 March 2024</time></p>
    <details open>
     <summary>More details about this document</summary>
     <div data-fill-with="spec-metadata">
@@ -1024,6 +1024,7 @@ <h2 class="no-num no-toc no-ref" id="contents">Table of Contents</h2>
       <li><a href="#programming-model-overview"><span class="secno">6.1</span> <span class="content">Overview</span></a>
       <li><a href="#programming-model-device-selection"><span class="secno">6.2</span> <span class="content">Device Selection</span></a>
       <li><a href="#programming-model-task-source"><span class="secno">6.3</span> <span class="content">Task Source</span></a>
+      <li><a href="#permissions-policy-integration"><span class="secno">6.4</span> <span class="content">Permissions Policy Integration</span></a>
      </ol>
     <li>
      <a href="#api"><span class="secno">7</span> <span class="content">API</span></a>
@@ -1032,7 +1033,7 @@ <h2 class="no-num no-toc no-ref" id="contents">Table of Contents</h2>
       <li>
        <a href="#api-ml"><span class="secno">7.2</span> <span class="content"><code class="idl"><span>ML</span></code> interface</span></a>
        <ol class="toc">
-        <li><a href="#permissions-policy-integration"><span class="secno">7.2.1</span> <span class="content">Permissions Policy Integration</span></a>
+        <li><a href="#api-mlcontextoptions"><span class="secno">7.2.1</span> <span class="content"><code class="idl"><span>MLContextOptions</span></code></span></a>
         <li><a href="#api-ml-createcontext"><span class="secno">7.2.2</span> <span class="content"><code class="idl"><span>createContext()</span></code></span></a>
        </ol>
       <li>
@@ -1419,7 +1420,7 @@ <h4 class="heading settled" data-level="2.2.5" id="usecase-real-time-video-proce
    <p>The user experience of WebRTC-based video conferencing is enhanced using real-time video processing. For example, background blur implemented using a <a href="#usecase-segmentation">§ 2.1.2 Semantic Segmentation</a> model blurs the background in the user’s live camera feed. To satisfy the performance requirements of this use case, the WebNN API integrates with primitives from other Web APIs that make up the media pipeline to allow WebNN API-based transformation of real-time video streams.</p>
    <h2 class="heading settled" data-level="3" id="security"><span class="secno">3. </span><span class="content">Security Considerations</span><a class="self-link" href="#security"></a></h2>
     This specification defines a low-level API for neural network inference hardware acceleration. This API is considered a powerful feature <a data-link-type="biblio" href="#biblio-powerful-features" title="Secure Contexts">[POWERFUL-FEATURES]</a> because it grants low-level access to a user’s computer. To meet the authentication and confidentiality expectations of a powerful feature and to prevent man-in-the-middle attacks, all interfaces defined by this specification are only available in a secure context. 
-   <p>This API is disabled by default in all cross-origin frames using the <a href="#permissions-policy-integration">§ 7.2.1 Permissions Policy Integration</a>. This prevents third-party content from using this API unless the embedding page explicitly sets a policy that grants permission.</p>
+   <p>This API is disabled by default in all cross-origin frames using the <a href="#permissions-policy-integration">§ 6.4 Permissions Policy Integration</a>. This prevents third-party content from using this API unless the embedding page explicitly sets a policy that grants permission.</p>
    <p>This API allows creation of an <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext">MLContext</a></code> from a <code class="idl"><a data-link-type="idl" href="https://gpuweb.github.io/gpuweb/#gpudevice" id="ref-for-gpudevice">GPUDevice</a></code> defined by WebGPU specification. See <a href="https://gpuweb.github.io/gpuweb/#security-considerations">WebGPU Security Considerations</a> for more information regarding security characteristics of this context.</p>
    <p>Once the graph is fully constructed and compiled, the input shapes into each of the operations in the graph are inferred and finalized. The bounds checking occurs when the compute method is invoked that executes the graph against the actual data. No actual data is bound to the compiled graph before this stage. It is the implementation’s responsibility to make sure proper bounds checking occurs against the shapes of the data already inferred by that time.</p>
    <p class="issue" id="issue-9e2aaedc"><a class="self-link" href="#issue-9e2aaedc"></a> Document operations susceptible to out-of-bounds access as a guidance to implementers.</p>
@@ -1465,8 +1466,8 @@ <h2 class="heading settled" data-level="4" id="privacy"><span class="secno">4. <
    <p class="note" role="note"><span class="marker">Note:</span> The group is <a href="https://github.com/webmachinelearning/webnn/issues/85">soliciting further input</a> on the proposed execution time analysis fingerprinting vector and will augment this section with more information and mitigations to inform the implementers of this API.</p>
    <p>Unlike WebGPU, this API does not intrinsically support custom shader authoring; and as a result is not prone to timing attacks that rely on shader caches, or other persistent data. The API builds upon pre-existing shaders and lower level primitives of the browser or the underlying OS. Web developers who interface with <code class="idl"><a data-link-type="idl" href="https://gpuweb.github.io/gpuweb/#gpudevice" id="ref-for-gpudevice①">GPUDevice</a></code> are expected to be aware of <a href="https://gpuweb.github.io/gpuweb/#privacy-user-agent-state">WebGPU compilation cache considerations</a>.</p>
    <p>The WebGPU API identifies <a href="https://gpuweb.github.io/gpuweb/#privacy-machine-artifacts">machine-specific artifacts</a> as a privacy consideration. Similarly, the WebNN API’s compute unit scheduling may under certain circumstances introduce a fingerprint. However, similarly to WebGPU, such fingerprints are identical across most or all of the devices of each vendor, mitigating the concern. Furthermore, software implementations can be used to further eliminate such artifacts.</p>
-   <p>The WebNN API defines two developer-settable preferences to help inform <a href="#programming-model-device-selection">§ 6.2 Device Selection</a> and allow the implementation to better select the most appropriate underlying execution device for the workload. <a data-link-type="dfn" href="#device-type" id="ref-for-device-type">Device type</a> normatively indicates the kind of device and is either <code class="idl"><a data-link-type="idl" href="#dom-mldevicetype-cpu" id="ref-for-dom-mldevicetype-cpu">"cpu"</a></code> or <code class="idl"><a data-link-type="idl" href="#dom-mldevicetype-gpu" id="ref-for-dom-mldevicetype-gpu">"gpu"</a></code>. If this type cannot be satisfied, an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException">DOMException</a></code> is thrown, thus this type can in some cases add two bits of entropy to the fingerprint. <a data-link-type="dfn" href="#power-preference" id="ref-for-power-preference">Power preference</a> indicates preference as related to the power consumption and is considered a hint only and as such does not increase entropy of the fingerprint.</p>
-   <p>If a future version of this specification introduces support for new a <a data-link-type="dfn" href="#device-type" id="ref-for-device-type①">device type</a> that can only support a subset of <code class="idl"><a data-link-type="idl" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype">MLOperandDataType</a></code>s, that may introduce a new fingerprint.</p>
+   <p>The WebNN API defines two developer-settable preferences to help inform <a href="#programming-model-device-selection">§ 6.2 Device Selection</a> and allow the implementation to better select the most appropriate underlying execution device for the workload. An <code class="idl"><a data-link-type="idl" href="#enumdef-mldevicetype" id="ref-for-enumdef-mldevicetype">MLDeviceType</a></code> normatively indicates the kind of device and is either <code class="idl"><a data-link-type="idl" href="#dom-mldevicetype-cpu" id="ref-for-dom-mldevicetype-cpu">"cpu"</a></code> or <code class="idl"><a data-link-type="idl" href="#dom-mldevicetype-gpu" id="ref-for-dom-mldevicetype-gpu">"gpu"</a></code>. If this type cannot be satisfied, an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException">DOMException</a></code> is thrown, thus this type can in some cases add two bits of entropy to the fingerprint. An <code class="idl"><a data-link-type="idl" href="#enumdef-mlpowerpreference" id="ref-for-enumdef-mlpowerpreference">MLPowerPreference</a></code> indicates preference as related to the power consumption and is considered a hint only and as such does not increase entropy of the fingerprint.</p>
+   <p>If a future version of this specification introduces support for a new <code class="idl"><a data-link-type="idl" href="#enumdef-mldevicetype" id="ref-for-enumdef-mldevicetype①">MLDeviceType</a></code> that can only support a subset of <code class="idl"><a data-link-type="idl" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype">MLOperandDataType</a></code>s, that may introduce a new fingerprint.</p>
    <p>In general, implementers of this API are expected to apply <a href="https://gpuweb.github.io/gpuweb/#privacy-considerations">WebGPU Privacy Considerations</a> to their implementations where applicable.</p>
    <h2 class="heading settled" data-level="5" id="ethics"><span class="secno">5. </span><span class="content">Ethical Considerations</span><a class="self-link" href="#ethics"></a></h2>
    <p>The Working Group has started documenting ethical issues associated with using Machine Learning on the Web, to help identify what mitigations its normative specifications should take into account. The Working Group publishes and maintains an Ethical Principles for Web Machine Learning document <a data-link-type="biblio" href="#biblio-webmachinelearning-ethics" title="Ethical Principles for Web Machine Learning">[webmachinelearning-ethics]</a> open to contributions from the wider community via a dedicated <a href="https://github.com/webmachinelearning/webmachinelearning-ethics">GitHub repository</a>.</p>
@@ -1495,12 +1496,16 @@ <h3 class="heading settled" data-level="6.1" id="programming-model-overview"><sp
    <h3 class="heading settled" data-level="6.2" id="programming-model-device-selection"><span class="secno">6.2. </span><span class="content">Device Selection</span><a class="self-link" href="#programming-model-device-selection"></a></h3>
    <p>An <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext④">MLContext</a></code> interface represents a global state of neural network execution. One of the important context states is the underlying execution device that manages the resources and facilitates the compilation and the eventual execution of the neural network graph. In addition to the default method of creation with <code class="idl"><a data-link-type="idl" href="#dictdef-mlcontextoptions" id="ref-for-dictdef-mlcontextoptions">MLContextOptions</a></code>, an <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext⑤">MLContext</a></code> could also be created from a specific <code class="idl"><a data-link-type="idl" href="https://gpuweb.github.io/gpuweb/#gpudevice" id="ref-for-gpudevice②">GPUDevice</a></code> that is already in use by the application.</p>
    <p>In a situation when a GPU context executes a graph with a constant or an input in the system memory as an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView">ArrayBufferView</a></code>, the input content is automatically uploaded from the system memory to the GPU memory, and downloaded back to the system memory of an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView①">ArrayBufferView</a></code> output buffer at the end of the graph execution. This data upload and download cycles will only occur whenever the execution device requires the data to be copied out of and back into the system memory, such as in the case of the GPU. It doesn’t occur when the device is a CPU device. Additionally, the result of the graph execution is in a known layout format. While the execution may be optimized for a native memory access pattern in an intermediate result within the graph, the output of the last operation of the graph must convert the content back to a known layout format at the end of the graph in order to maintain the expected behavior from the caller’s perspective.</p>
-   <p>When an <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext⑥">MLContext</a></code> is created with <code class="idl"><a data-link-type="idl" href="#dictdef-mlcontextoptions" id="ref-for-dictdef-mlcontextoptions①">MLContextOptions</a></code>, the user agent selects and creates the underlying execution device by taking into account the application’s <a data-link-type="dfn" href="#power-preference" id="ref-for-power-preference①">power preference</a> and <a data-link-type="dfn" href="#device-type" id="ref-for-device-type②">device type</a> specified in the <code class="idl"><a data-link-type="idl" href="#enumdef-mlpowerpreference" id="ref-for-enumdef-mlpowerpreference">MLPowerPreference</a></code> and <code class="idl"><a data-link-type="idl" href="#enumdef-mldevicetype" id="ref-for-enumdef-mldevicetype">MLDeviceType</a></code> options.</p>
+   <p>When an <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext⑥">MLContext</a></code> is created with <code class="idl"><a data-link-type="idl" href="#dictdef-mlcontextoptions" id="ref-for-dictdef-mlcontextoptions①">MLContextOptions</a></code>, the user agent selects and creates the underlying execution device by taking into account the application’s <code class="idl"><a data-link-type="idl" href="#enumdef-mlpowerpreference" id="ref-for-enumdef-mlpowerpreference①">MLPowerPreference</a></code> and <code class="idl"><a data-link-type="idl" href="#enumdef-mldevicetype" id="ref-for-enumdef-mldevicetype②">MLDeviceType</a></code> options.</p>
    <h3 class="heading settled" data-level="6.3" id="programming-model-task-source"><span class="secno">6.3. </span><span class="content">Task Source</span><a class="self-link" href="#programming-model-task-source"></a></h3>
    <p>The <dfn class="dfn-paneled" data-dfn-type="dfn" data-noexport id="ml-task-source">ML task source</dfn> is a <a data-link-type="dfn" href="https://html.spec.whatwg.org/multipage/webappapis.html#task-source" id="ref-for-task-source">task source</a> to be used for all <a data-link-type="dfn" href="https://html.spec.whatwg.org/multipage/webappapis.html#concept-task" id="ref-for-concept-task">tasks</a> related to asynchronous compilation and execution of <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph⑥">MLGraph</a></code>s and creation of <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext⑦">MLContext</a></code>s.</p>
    <div class="algorithm" data-algorithm="queue an ML task">
     <p>To <dfn class="dfn-paneled" data-dfn-type="dfn" data-noexport id="queue-an-ml-task">queue an ML task</dfn> given a <a data-link-type="dfn" href="https://html.spec.whatwg.org/multipage/webappapis.html#global-object" id="ref-for-global-object">global object</a> <var>global</var> and a series of steps <var>steps</var>, <a data-link-type="dfn" href="https://html.spec.whatwg.org/multipage/webappapis.html#queue-a-global-task" id="ref-for-queue-a-global-task">queue a global task</a> on the <a data-link-type="dfn" href="#ml-task-source" id="ref-for-ml-task-source">ML task source</a> with <var>global</var> and <var>steps</var>. </p>
    </div>
+   <h3 class="heading settled" data-level="6.4" id="permissions-policy-integration"><span class="secno">6.4. </span><span class="content">Permissions Policy Integration</span><a class="self-link" href="#permissions-policy-integration"></a></h3>
+   <p>This specification defines a <a data-link-type="dfn" href="https://w3c.github.io/webappsec-permissions-policy/#policy-controlled-feature" id="ref-for-policy-controlled-feature">policy-controlled feature</a> identified by the
+string "<code><dfn class="dfn-paneled" data-dfn-type="dfn" data-lt="webnn-feature" data-noexport id="webnn-feature">webnn</dfn></code>".
+Its <a data-link-type="dfn" href="https://w3c.github.io/webappsec-permissions-policy/#policy-controlled-feature-default-allowlist" id="ref-for-policy-controlled-feature-default-allowlist">default allowlist</a> is <code>'self'</code>.</p>
    <h2 class="heading settled" data-level="7" id="api"><span class="secno">7. </span><span class="content">API</span><a class="self-link" href="#api"></a></h2>
    <h3 class="heading settled" data-level="7.1" id="api-navigator-ml"><span class="secno">7.1. </span><span class="content">The navigator.ml interface</span><a class="self-link" href="#api-navigator-ml"></a></h3>
    <p>An <code class="idl"><a data-link-type="idl" href="#ml" id="ref-for-ml">ML</a></code> object is available in the <code class="idl"><a data-link-type="idl" href="https://html.spec.whatwg.org/multipage/nav-history-apis.html#window" id="ref-for-window">Window</a></code> and <code class="idl"><a data-link-type="idl" href="https://html.spec.whatwg.org/multipage/workers.html#dedicatedworkerglobalscope" id="ref-for-dedicatedworkerglobalscope">DedicatedWorkerGlobalScope</a></code> contexts through the <code class="idl"><a data-link-type="idl" href="https://html.spec.whatwg.org/multipage/system-state.html#navigator" id="ref-for-navigator">Navigator</a></code> and <code class="idl"><a data-link-type="idl" href="https://html.spec.whatwg.org/multipage/workers.html#workernavigator" id="ref-for-workernavigator">WorkerNavigator</a></code> interfaces respectively and is exposed via <code>navigator.ml</code>.</p>
@@ -1511,20 +1516,20 @@ <h3 class="heading settled" data-level="7.1" id="api-navigator-ml"><span class="
 <a data-link-type="idl-name" href="https://html.spec.whatwg.org/multipage/workers.html#workernavigator" id="ref-for-workernavigator①"><c- n>WorkerNavigator</c-></a> <c- b>includes</c-> <a data-link-type="idl-name" href="#navigatorml" id="ref-for-navigatorml①"><c- n>NavigatorML</c-></a>;
 </pre>
    <h3 class="heading settled" data-level="7.2" id="api-ml"><span class="secno">7.2. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#ml" id="ref-for-ml②">ML</a></code> interface</span><a class="self-link" href="#api-ml"></a></h3>
-<pre class="idl highlight def"><c- b>enum</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="enum" data-export id="enumdef-mldevicetype"><code><c- g>MLDeviceType</c-></code></dfn> {
+<pre class="idl highlight def"><c- b>enum</c-> <a class="idl-code" data-link-type="enum" href="#enumdef-mldevicetype" id="ref-for-enumdef-mldevicetype③"><c- g>MLDeviceType</c-></a> {
   <a class="idl-code" data-link-type="enum-value" href="#dom-mldevicetype-cpu" id="ref-for-dom-mldevicetype-cpu①"><c- s>"cpu"</c-></a>,
   <a class="idl-code" data-link-type="enum-value" href="#dom-mldevicetype-gpu" id="ref-for-dom-mldevicetype-gpu①"><c- s>"gpu"</c-></a>
 };
 
-<c- b>enum</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="enum" data-export id="enumdef-mlpowerpreference"><code><c- g>MLPowerPreference</c-></code></dfn> {
+<c- b>enum</c-> <a class="idl-code" data-link-type="enum" href="#enumdef-mlpowerpreference" id="ref-for-enumdef-mlpowerpreference②"><c- g>MLPowerPreference</c-></a> {
   <a class="idl-code" data-link-type="enum-value" href="#dom-mlpowerpreference-default" id="ref-for-dom-mlpowerpreference-default"><c- s>"default"</c-></a>,
   <a class="idl-code" data-link-type="enum-value" href="#dom-mlpowerpreference-high-performance" id="ref-for-dom-mlpowerpreference-high-performance"><c- s>"high-performance"</c-></a>,
   <a class="idl-code" data-link-type="enum-value" href="#dom-mlpowerpreference-low-power" id="ref-for-dom-mlpowerpreference-low-power"><c- s>"low-power"</c-></a>
 };
 
 <c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlcontextoptions"><code><c- g>MLContextOptions</c-></code></dfn> {
-  <a data-link-type="idl-name" href="#enumdef-mldevicetype" id="ref-for-enumdef-mldevicetype①"><c- n>MLDeviceType</c-></a> <dfn class="dfn-paneled idl-code" data-default="&quot;cpu&quot;" data-dfn-for="MLContextOptions" data-dfn-type="dict-member" data-export data-type="MLDeviceType " id="dom-mlcontextoptions-devicetype"><code><c- g>deviceType</c-></code></dfn> = "cpu";
-  <a data-link-type="idl-name" href="#enumdef-mlpowerpreference" id="ref-for-enumdef-mlpowerpreference①"><c- n>MLPowerPreference</c-></a> <dfn class="dfn-paneled idl-code" data-default="&quot;default&quot;" data-dfn-for="MLContextOptions" data-dfn-type="dict-member" data-export data-type="MLPowerPreference " id="dom-mlcontextoptions-powerpreference"><code><c- g>powerPreference</c-></code></dfn> = "default";
+  <a data-link-type="idl-name" href="#enumdef-mldevicetype" id="ref-for-enumdef-mldevicetype④"><c- n>MLDeviceType</c-></a> <a class="idl-code" data-default="&quot;cpu&quot;" data-link-type="dict-member" data-type="MLDeviceType " href="#dom-mlcontextoptions-devicetype" id="ref-for-dom-mlcontextoptions-devicetype"><c- g>deviceType</c-></a> = "cpu";
+  <a data-link-type="idl-name" href="#enumdef-mlpowerpreference" id="ref-for-enumdef-mlpowerpreference③"><c- n>MLPowerPreference</c-></a> <a class="idl-code" data-default="&quot;default&quot;" data-link-type="dict-member" data-type="MLPowerPreference " href="#dom-mlcontextoptions-powerpreference" id="ref-for-dom-mlcontextoptions-powerpreference"><c- g>powerPreference</c-></a> = "default";
 };
 
 [<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#SecureContext" id="ref-for-SecureContext①"><c- g>SecureContext</c-></a>, <a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#Exposed" id="ref-for-Exposed"><c- g>Exposed</c-></a>=(<c- n>Window</c->, <c- n>DedicatedWorker</c->)]
@@ -1533,26 +1538,15 @@ <h3 class="heading settled" data-level="7.2" id="api-ml"><span class="secno">7.2
   <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-promise" id="ref-for-idl-promise②"><c- b>Promise</c-></a>&lt;<a data-link-type="idl-name" href="#mlcontext" id="ref-for-mlcontext⑨"><c- n>MLContext</c-></a>> <a class="idl-code" data-link-type="method" href="#dom-ml-createcontext-gpudevice" id="ref-for-dom-ml-createcontext-gpudevice"><c- g>createContext</c-></a>(<a data-link-type="idl-name" href="https://gpuweb.github.io/gpuweb/#gpudevice" id="ref-for-gpudevice③"><c- n>GPUDevice</c-></a> <dfn class="idl-code" data-dfn-for="ML/createContext(gpuDevice)" data-dfn-type="argument" data-export id="dom-ml-createcontext-gpudevice-gpudevice"><code><c- g>gpuDevice</c-></code><a class="self-link" href="#dom-ml-createcontext-gpudevice-gpudevice"></a></dfn>);
 };
 </pre>
-   <h4 class="heading settled" data-level="7.2.1" id="permissions-policy-integration"><span class="secno">7.2.1. </span><span class="content">Permissions Policy Integration</span><a class="self-link" href="#permissions-policy-integration"></a></h4>
-   <p>This specification defines a <a data-link-type="dfn" href="https://w3c.github.io/webappsec-permissions-policy/#policy-controlled-feature" id="ref-for-policy-controlled-feature">policy-controlled feature</a> identified by the
-string "<code><dfn class="dfn-paneled" data-dfn-type="dfn" data-lt="webnn-feature" data-noexport id="webnn-feature">webnn</dfn></code>".
-Its <a data-link-type="dfn" href="https://w3c.github.io/webappsec-permissions-policy/#policy-controlled-feature-default-allowlist" id="ref-for-policy-controlled-feature-default-allowlist">default allowlist</a> is <code>'self'</code>.</p>
-   <h4 class="heading settled" data-level="7.2.2" id="api-ml-createcontext"><span class="secno">7.2.2. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-ml-createcontext" id="ref-for-dom-ml-createcontext①">createContext()</a></code></span><a class="self-link" href="#api-ml-createcontext"></a></h4>
-   <p>The <dfn class="dfn-paneled" data-dfn-type="dfn" data-noexport id="context-type">context type</dfn> is the type of the execution context that manages the resources and facilitates the compilation and execution of the neural network graph:</p>
-   <dl>
-    <dt>"<dfn class="dfn-paneled" data-dfn-for="context type" data-dfn-type="dfn" data-noexport id="context-type-default">default</dfn>"
-    <dd>Context created per user preference options.
-    <dt>"<dfn class="dfn-paneled" data-dfn-for="context type" data-dfn-type="dfn" data-noexport id="context-type-webgpu">webgpu</dfn>"
-    <dd>Context created from WebGPU device.
-   </dl>
-   <p>The <dfn class="dfn-paneled" data-dfn-type="dfn" data-noexport id="device-type">device type</dfn> indicates the kind of device used for the context. It is one of the following:</p>
+   <h4 class="heading settled" data-level="7.2.1" id="api-mlcontextoptions"><span class="secno">7.2.1. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dictdef-mlcontextoptions" id="ref-for-dictdef-mlcontextoptions③">MLContextOptions</a></code></span><a class="self-link" href="#api-mlcontextoptions"></a></h4>
+   <p>The <dfn class="dfn-paneled idl-code" data-dfn-for="MLContextOptions" data-dfn-type="dict-member" data-export id="dom-mlcontextoptions-devicetype"><code>deviceType</code></dfn> option is an <dfn class="dfn-paneled idl-code" data-dfn-type="enum" data-export id="enumdef-mldevicetype"><code>MLDeviceType</code></dfn> and indicates the application’s preference for the kind of device used for the context. It is one of the following:</p>
    <dl>
     <dt>"<dfn class="dfn-paneled idl-code" data-dfn-for="MLDeviceType" data-dfn-type="enum-value" data-export data-lt="&quot;cpu&quot;|cpu" id="dom-mldevicetype-cpu"><code>cpu</code></dfn>"
     <dd>Provides the broadest compatibility and usability across all client devices with varying degrees of performance.
     <dt>"<dfn class="dfn-paneled idl-code" data-dfn-for="MLDeviceType" data-dfn-type="enum-value" data-export data-lt="&quot;gpu&quot;|gpu" id="dom-mldevicetype-gpu"><code>gpu</code></dfn>"
     <dd>Provides the broadest range of achievable performance across graphics hardware platforms from consumer devices to professional workstations.
    </dl>
-   <p>The <dfn class="dfn-paneled" data-dfn-type="dfn" data-noexport id="power-preference">power preference</dfn> indicates preference as related to power consumption. It is one of the following:</p>
+   <p>The <dfn class="dfn-paneled idl-code" data-dfn-for="MLContextOptions" data-dfn-type="dict-member" data-export id="dom-mlcontextoptions-powerpreference"><code>powerPreference</code></dfn> option is an <dfn class="dfn-paneled idl-code" data-dfn-type="enum" data-export id="enumdef-mlpowerpreference"><code>MLPowerPreference</code></dfn> and indicates the application’s preference as related to power consumption. It is one of the following:</p>
    <dl>
     <dt>"<dfn class="dfn-paneled idl-code" data-dfn-for="MLPowerPreference" data-dfn-type="enum-value" data-export data-lt="&quot;default&quot;|default" id="dom-mlpowerpreference-default"><code>default</code></dfn>"
     <dd>Let the user agent select the most suitable behavior.
@@ -1561,8 +1555,9 @@ <h4 class="heading settled" data-level="7.2.2" id="api-ml-createcontext"><span c
     <dt>"<dfn class="dfn-paneled idl-code" data-dfn-for="MLPowerPreference" data-dfn-type="enum-value" data-export data-lt="&quot;low-power&quot;|low-power" id="dom-mlpowerpreference-low-power"><code>low-power</code></dfn>"
     <dd>Prioritizes power consumption over other considerations such as execution speed.
    </dl>
+   <h4 class="heading settled" data-level="7.2.2" id="api-ml-createcontext"><span class="secno">7.2.2. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-ml-createcontext" id="ref-for-dom-ml-createcontext①">createContext()</a></code></span><a class="self-link" href="#api-ml-createcontext"></a></h4>
    <details class="algorithm" data-algorithm="create a context" open>
-    <summary> To <dfn class="dfn-paneled" data-dfn-type="dfn" data-noexport id="create-a-context">create a context</dfn> given <a data-link-type="dfn" href="https://tc39.es/ecma262/multipage/executable-code-and-execution-contexts.html#realm" id="ref-for-realm">realm</a> <var>realm</var> and <var>options</var> (a <code class="idl"><a data-link-type="idl" href="https://gpuweb.github.io/gpuweb/#gpudevice" id="ref-for-gpudevice④">GPUDevice</a></code> or <code class="idl"><a data-link-type="idl" href="#dictdef-mlcontextoptions" id="ref-for-dictdef-mlcontextoptions③">MLContextOptions</a></code>), run these steps: </summary>
+    <summary> To <dfn class="dfn-paneled" data-dfn-type="dfn" data-noexport id="create-a-context">create a context</dfn> given <a data-link-type="dfn" href="https://tc39.es/ecma262/multipage/executable-code-and-execution-contexts.html#realm" id="ref-for-realm">realm</a> <var>realm</var> and <var>options</var> (a <code class="idl"><a data-link-type="idl" href="https://gpuweb.github.io/gpuweb/#gpudevice" id="ref-for-gpudevice④">GPUDevice</a></code> or <code class="idl"><a data-link-type="idl" href="#dictdef-mlcontextoptions" id="ref-for-dictdef-mlcontextoptions④">MLContextOptions</a></code>), run these steps: </summary>
     <ol>
      <li data-md>
       <p>Let <var>context</var> be a new <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext①⓪">MLContext</a></code> object with <var>realm</var>.</p>
@@ -1582,9 +1577,9 @@ <h4 class="heading settled" data-level="7.2.2" id="api-ml-createcontext"><span c
        <li data-md>
         <p>Set <var>context</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlcontext-contexttype-slot" id="ref-for-dom-mlcontext-contexttype-slot①">[[contextType]]</a></code> to "<a data-link-type="dfn" href="#context-type-default" id="ref-for-context-type-default">default</a>".</p>
        <li data-md>
-        <p>If <var>options</var>["<code class="idl"><a data-link-type="idl" href="#dom-mlcontextoptions-devicetype" id="ref-for-dom-mlcontextoptions-devicetype">deviceType</a></code>"] <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists">exists</a>, then set <var>context</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlcontext-devicetype-slot" id="ref-for-dom-mlcontext-devicetype-slot①">[[deviceType]]</a></code> to <var>options</var>["<code class="idl"><a data-link-type="idl" href="#dom-mlcontextoptions-devicetype" id="ref-for-dom-mlcontextoptions-devicetype①">deviceType</a></code>"]. Otherwise, set <var>context</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlcontext-devicetype-slot" id="ref-for-dom-mlcontext-devicetype-slot②">[[deviceType]]</a></code> to <code class="idl"><a data-link-type="idl" href="#dom-mldevicetype-cpu" id="ref-for-dom-mldevicetype-cpu②">"cpu"</a></code>.</p>
+        <p>If <var>options</var>["<code class="idl"><a data-link-type="idl" href="#dom-mlcontextoptions-devicetype" id="ref-for-dom-mlcontextoptions-devicetype①">deviceType</a></code>"] <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists">exists</a>, then set <var>context</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlcontext-devicetype-slot" id="ref-for-dom-mlcontext-devicetype-slot①">[[deviceType]]</a></code> to <var>options</var>["<code class="idl"><a data-link-type="idl" href="#dom-mlcontextoptions-devicetype" id="ref-for-dom-mlcontextoptions-devicetype②">deviceType</a></code>"]. Otherwise, set <var>context</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlcontext-devicetype-slot" id="ref-for-dom-mlcontext-devicetype-slot②">[[deviceType]]</a></code> to <code class="idl"><a data-link-type="idl" href="#dom-mldevicetype-cpu" id="ref-for-dom-mldevicetype-cpu②">"cpu"</a></code>.</p>
        <li data-md>
-        <p>If <var>options</var>["<code class="idl"><a data-link-type="idl" href="#dom-mlcontextoptions-powerpreference" id="ref-for-dom-mlcontextoptions-powerpreference">powerPreference</a></code>"] <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists①">exists</a>, then set <var>context</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlcontext-powerpreference-slot" id="ref-for-dom-mlcontext-powerpreference-slot①">[[powerPreference]]</a></code> to <var>options</var>["<code class="idl"><a data-link-type="idl" href="#dom-mlcontextoptions-powerpreference" id="ref-for-dom-mlcontextoptions-powerpreference①">powerPreference</a></code>"]. Otherwise, set <var>context</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlcontext-powerpreference-slot" id="ref-for-dom-mlcontext-powerpreference-slot②">[[powerPreference]]</a></code> to <code class="idl"><a data-link-type="idl" href="#dom-mlpowerpreference-default" id="ref-for-dom-mlpowerpreference-default②">"default"</a></code>.</p>
+        <p>If <var>options</var>["<code class="idl"><a data-link-type="idl" href="#dom-mlcontextoptions-powerpreference" id="ref-for-dom-mlcontextoptions-powerpreference①">powerPreference</a></code>"] <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists①">exists</a>, then set <var>context</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlcontext-powerpreference-slot" id="ref-for-dom-mlcontext-powerpreference-slot①">[[powerPreference]]</a></code> to <var>options</var>["<code class="idl"><a data-link-type="idl" href="#dom-mlcontextoptions-powerpreference" id="ref-for-dom-mlcontextoptions-powerpreference②">powerPreference</a></code>"]. Otherwise, set <var>context</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlcontext-powerpreference-slot" id="ref-for-dom-mlcontext-powerpreference-slot②">[[powerPreference]]</a></code> to <code class="idl"><a data-link-type="idl" href="#dom-mlpowerpreference-default" id="ref-for-dom-mlpowerpreference-default②">"default"</a></code>.</p>
       </ol>
      <li data-md>
       <p>If the user agent cannot support <var>context</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlcontext-contexttype-slot" id="ref-for-dom-mlcontext-contexttype-slot②">[[contextType]]</a></code>, <var>context</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlcontext-devicetype-slot" id="ref-for-dom-mlcontext-devicetype-slot③">[[deviceType]]</a></code> and <var>context</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlcontext-powerpreference-slot" id="ref-for-dom-mlcontext-powerpreference-slot③">[[powerPreference]]</a></code>, return failure.</p>
@@ -1639,12 +1634,12 @@ <h4 class="heading settled" data-level="7.2.2" id="api-ml-createcontext"><span c
     </ol>
    </details>
    <h3 class="heading settled" data-level="7.3" id="api-mlcontext"><span class="secno">7.3. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext①①">MLContext</a></code> interface</span><a class="self-link" href="#api-mlcontext"></a></h3>
-    The <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext①②">MLContext</a></code> interface represents a global state of neural network compute workload and execution processes. Each <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext①③">MLContext</a></code> object has associated <a data-link-type="dfn" href="#context-type" id="ref-for-context-type">context type</a>, <a data-link-type="dfn" href="#device-type" id="ref-for-device-type③">device type</a> and <a data-link-type="dfn" href="#power-preference" id="ref-for-power-preference②">power preference</a>. 
+    The <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext①②">MLContext</a></code> interface represents a global state of neural network compute workload and execution processes. Each <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext①③">MLContext</a></code> object has associated <a data-link-type="dfn" href="#context-type" id="ref-for-context-type">context type</a>, <code class="idl"><a data-link-type="idl" href="#enumdef-mldevicetype" id="ref-for-enumdef-mldevicetype⑤">MLDeviceType</a></code> and <code class="idl"><a data-link-type="idl" href="#enumdef-mlpowerpreference" id="ref-for-enumdef-mlpowerpreference④">MLPowerPreference</a></code>. 
 <pre class="idl highlight def"><c- b>typedef</c-> <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-record" id="ref-for-idl-record"><c- b>record</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-DOMString" id="ref-for-idl-DOMString"><c- b>DOMString</c-></a>, <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView②"><c- n>ArrayBufferView</c-></a>> <dfn class="dfn-paneled idl-code" data-dfn-type="typedef" data-export id="typedefdef-mlnamedarraybufferviews"><code><c- g>MLNamedArrayBufferViews</c-></code></dfn>;
 
 <c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlcomputeresult"><code><c- g>MLComputeResult</c-></code></dfn> {
-  <a data-link-type="idl-name" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews②"><c- n>MLNamedArrayBufferViews</c-></a> <dfn class="dfn-paneled idl-code" data-dfn-for="MLComputeResult" data-dfn-type="dict-member" data-export data-type="MLNamedArrayBufferViews " id="dom-mlcomputeresult-inputs"><code><c- g>inputs</c-></code></dfn>;
-  <a data-link-type="idl-name" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews③"><c- n>MLNamedArrayBufferViews</c-></a> <dfn class="dfn-paneled idl-code" data-dfn-for="MLComputeResult" data-dfn-type="dict-member" data-export data-type="MLNamedArrayBufferViews " id="dom-mlcomputeresult-outputs"><code><c- g>outputs</c-></code></dfn>;
+  <a data-link-type="idl-name" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews②"><c- n>MLNamedArrayBufferViews</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLNamedArrayBufferViews " href="#dom-mlcomputeresult-inputs" id="ref-for-dom-mlcomputeresult-inputs"><c- g>inputs</c-></a>;
+  <a data-link-type="idl-name" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews③"><c- n>MLNamedArrayBufferViews</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLNamedArrayBufferViews " href="#dom-mlcomputeresult-outputs" id="ref-for-dom-mlcomputeresult-outputs"><c- g>outputs</c-></a>;
 };
 
 [<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#SecureContext" id="ref-for-SecureContext②"><c- g>SecureContext</c-></a>, <a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#Exposed" id="ref-for-Exposed①"><c- g>Exposed</c-></a>=(<c- n>Window</c->, <c- n>DedicatedWorker</c->)]
@@ -1656,20 +1651,35 @@ <h3 class="heading settled" data-level="7.3" id="api-mlcontext"><span class="sec
    <div class="internal-slots">
      <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext①④">MLContext</a></code> has the following internal slots: 
     <dl>
-     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLContext" data-dfn-type="attribute" data-export id="dom-mlcontext-contexttype-slot"><code>[[contextType]]</code></dfn> of type <a data-link-type="dfn" href="#context-type" id="ref-for-context-type①">context type</a>
+     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLContext" data-dfn-type="attribute" data-export id="dom-mlcontext-contexttype-slot"><code>[[contextType]]</code></dfn> of type <a data-link-type="dfn" href="#context-type" id="ref-for-context-type①">context type</a>.
      <dd data-md>
       <p>The <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext①⑤">MLContext</a></code>'s <a data-link-type="dfn" href="#context-type" id="ref-for-context-type②">context type</a>.</p>
-     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLContext" data-dfn-type="attribute" data-export id="dom-mlcontext-devicetype-slot"><code>[[deviceType]]</code></dfn> of type <a data-link-type="dfn" href="#device-type" id="ref-for-device-type④">device type</a>
+     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLContext" data-dfn-type="attribute" data-export id="dom-mlcontext-devicetype-slot"><code>[[deviceType]]</code></dfn> of type <code class="idl"><a data-link-type="idl" href="#enumdef-mldevicetype" id="ref-for-enumdef-mldevicetype⑥">MLDeviceType</a></code>.
      <dd data-md>
-      <p>The <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext①⑥">MLContext</a></code>'s <a data-link-type="dfn" href="#device-type" id="ref-for-device-type⑤">device type</a>.</p>
-     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLContext" data-dfn-type="attribute" data-export id="dom-mlcontext-powerpreference-slot"><code>[[powerPreference]]</code></dfn> of type <a data-link-type="dfn" href="#power-preference" id="ref-for-power-preference③">power preference</a>
+      <p>The <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext①⑥">MLContext</a></code>'s <code class="idl"><a data-link-type="idl" href="#enumdef-mldevicetype" id="ref-for-enumdef-mldevicetype⑦">MLDeviceType</a></code>.</p>
+     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLContext" data-dfn-type="attribute" data-export id="dom-mlcontext-powerpreference-slot"><code>[[powerPreference]]</code></dfn> of type <code class="idl"><a data-link-type="idl" href="#enumdef-mlpowerpreference" id="ref-for-enumdef-mlpowerpreference⑤">MLPowerPreference</a></code>.
      <dd data-md>
-      <p>The <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext①⑦">MLContext</a></code>'s <a data-link-type="dfn" href="#power-preference" id="ref-for-power-preference④">power preference</a>.</p>
+      <p>The <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext①⑦">MLContext</a></code>'s <code class="idl"><a data-link-type="idl" href="#enumdef-mlpowerpreference" id="ref-for-enumdef-mlpowerpreference⑥">MLPowerPreference</a></code>.</p>
     </dl>
    </div>
-   <div class="note" role="note"> When the <code class="idl"><a data-link-type="idl" href="#dom-mlcontext-contexttype-slot" id="ref-for-dom-mlcontext-contexttype-slot③">[[contextType]]</a></code> is set to <a data-link-type="dfn" href="#context-type-default" id="ref-for-context-type-default①">default</a> with the <code class="idl"><a data-link-type="idl" href="#dictdef-mlcontextoptions" id="ref-for-dictdef-mlcontextoptions④">MLContextOptions</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mlcontextoptions-devicetype" id="ref-for-dom-mlcontextoptions-devicetype②">deviceType</a></code> set to <code class="idl"><a data-link-type="idl" href="#dom-mldevicetype-gpu" id="ref-for-dom-mldevicetype-gpu③">"gpu"</a></code>, the user agent is responsible for creating an internal GPU device that operates within the context and is capable of ML workload submission on behalf of the calling application. In this setting however, only <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView③">ArrayBufferView</a></code> inputs and outputs are allowed in and out of the graph execution since the application has no way to know what type of internal GPU device is being created on their behalf. In this case, the user agent is responsible for automatic uploads and downloads of the inputs and outputs to and from the GPU memory using this said internal device. </div>
+   <p>The <dfn class="dfn-paneled" data-dfn-type="dfn" data-noexport id="context-type">context type</dfn> is the type of the execution context that manages the resources and facilitates the compilation and execution of the neural network graph:</p>
+   <dl>
+    <dt>"<dfn class="dfn-paneled" data-dfn-for="context type" data-dfn-type="dfn" data-noexport id="context-type-default">default</dfn>"
+    <dd>Context created per user preference options.
+    <dt>"<dfn class="dfn-paneled" data-dfn-for="context type" data-dfn-type="dfn" data-noexport id="context-type-webgpu">webgpu</dfn>"
+    <dd>Context created from WebGPU device.
+   </dl>
+   <div class="note" role="note"> When the <code class="idl"><a data-link-type="idl" href="#dom-mlcontext-contexttype-slot" id="ref-for-dom-mlcontext-contexttype-slot③">[[contextType]]</a></code> is set to <a data-link-type="dfn" href="#context-type-default" id="ref-for-context-type-default①">default</a> with the <code class="idl"><a data-link-type="idl" href="#dictdef-mlcontextoptions" id="ref-for-dictdef-mlcontextoptions⑤">MLContextOptions</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mlcontextoptions-devicetype" id="ref-for-dom-mlcontextoptions-devicetype③">deviceType</a></code> set to <code class="idl"><a data-link-type="idl" href="#dom-mldevicetype-gpu" id="ref-for-dom-mldevicetype-gpu③">"gpu"</a></code>, the user agent is responsible for creating an internal GPU device that operates within the context and is capable of ML workload submission on behalf of the calling application. In this setting however, only <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView③">ArrayBufferView</a></code> inputs and outputs are allowed in and out of the graph execution since the application has no way to know what type of internal GPU device is being created on their behalf. In this case, the user agent is responsible for automatic uploads and downloads of the inputs and outputs to and from the GPU memory using this said internal device. </div>
+   <dl>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLComputeResult" data-dfn-type="dict-member" data-export id="dom-mlcomputeresult-inputs"><code>inputs</code></dfn>, <span> of type <a data-link-type="idl-name" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews⑥">MLNamedArrayBufferViews</a></span>
+    <dd data-md>
+     <p>An object where the keys are the graph input names, and the values are the transferred <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView④">ArrayBufferView</a></code>s for the supplied input tensor values.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLComputeResult" data-dfn-type="dict-member" data-export id="dom-mlcomputeresult-outputs"><code>outputs</code></dfn>, <span> of type <a data-link-type="idl-name" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews⑦">MLNamedArrayBufferViews</a></span>
+    <dd data-md>
+     <p>An object where the keys are the graph output names, and the values are the transferred <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView⑤">ArrayBufferView</a></code>s for the computed output tensor values.</p>
+   </dl>
    <details class="algorithm" data-algorithm="validate graph resources" open>
-    <summary> To <dfn class="dfn-paneled" data-dfn-type="dfn" data-noexport id="validate-graph-resources">validate graph resources</dfn>, given <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews⑥">MLNamedArrayBufferViews</a></code> <var>resources</var> and <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#ordered-map" id="ref-for-ordered-map">ordered map</a> <var>descriptors</var>, run the following steps: </summary>
+    <summary> To <dfn class="dfn-paneled" data-dfn-type="dfn" data-noexport id="validate-graph-resources">validate graph resources</dfn>, given <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews⑧">MLNamedArrayBufferViews</a></code> <var>resources</var> and <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#ordered-map" id="ref-for-ordered-map">ordered map</a> <var>descriptors</var>, run the following steps: </summary>
     <ol>
      <li data-md>
       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate">For each</a> <var>name</var> → <var>resource</var> of <var>resources</var>:</p>
@@ -1684,7 +1694,7 @@ <h3 class="heading settled" data-level="7.3" id="api-mlcontext"><span class="sec
     </ol>
    </details>
    <details class="algorithm" data-algorithm="validate buffer with descriptor" open>
-    <summary> To <dfn class="dfn-paneled" data-dfn-type="dfn" data-noexport id="validate-buffer-with-descriptor">validate buffer with descriptor</dfn> given <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView④">ArrayBufferView</a></code> <var>bufferView</var> and <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor">MLOperandDescriptor</a></code> <var>descriptor</var>, run the following steps: </summary>
+    <summary> To <dfn class="dfn-paneled" data-dfn-type="dfn" data-noexport id="validate-buffer-with-descriptor">validate buffer with descriptor</dfn> given <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView⑥">ArrayBufferView</a></code> <var>bufferView</var> and <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor">MLOperandDescriptor</a></code> <var>descriptor</var>, run the following steps: </summary>
     <ol>
      <li data-md>
       <p>If <var>bufferView</var>’s <a data-link-type="dfn" href="https://tc39.es/ecma262/#table-the-typedarray-constructors" id="ref-for-table-the-typedarray-constructors">element type</a> does not match to <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype">dataType</a></code> according to <a href="#appendices-mloperanddatatype-arraybufferview-compatibility">this table</a>, return false.</p>
@@ -1693,7 +1703,7 @@ <h3 class="heading settled" data-level="7.3" id="api-mlcontext"><span class="sec
     </ol>
    </details>
    <details class="algorithm" data-algorithm="execute graph" open>
-    <summary> To <dfn class="dfn-paneled" data-dfn-type="dfn" data-noexport id="execute-graph">execute graph</dfn>, given <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph⑧">MLGraph</a></code> <var>graph</var>, <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews⑦">MLNamedArrayBufferViews</a></code> <var>inputs</var> and <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews⑧">MLNamedArrayBufferViews</a></code> <var>outputs</var>, run the following steps. They return <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-undefined" id="ref-for-idl-undefined">undefined</a></code>, or an error. </summary>
+    <summary> To <dfn class="dfn-paneled" data-dfn-type="dfn" data-noexport id="execute-graph">execute graph</dfn>, given <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph⑧">MLGraph</a></code> <var>graph</var>, <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews⑨">MLNamedArrayBufferViews</a></code> <var>inputs</var> and <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews①⓪">MLNamedArrayBufferViews</a></code> <var>outputs</var>, run the following steps. They return <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-undefined" id="ref-for-idl-undefined">undefined</a></code>, or an error. </summary>
     <ol>
      <li data-md>
       <p>Let <var>inputResources</var> denote the input resources of <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-implementation-slot" id="ref-for-dom-mlgraph-implementation-slot">[[implementation]]</a></code>.</p>
@@ -1739,19 +1749,19 @@ <h3 class="heading settled" data-level="7.3" id="api-mlcontext"><span class="sec
       <p>Return <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-undefined" id="ref-for-idl-undefined①">undefined</a></code>.</p>
     </ol>
    </details>
-   <h4 class="heading settled" data-level="7.3.1" id="mlnamedarraybufferviews-transfer-alg"><span class="secno">7.3.1. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews⑨">MLNamedArrayBufferViews</a></code> transfer algorithm</span><a class="self-link" href="#mlnamedarraybufferviews-transfer-alg"></a></h4>
+   <h4 class="heading settled" data-level="7.3.1" id="mlnamedarraybufferviews-transfer-alg"><span class="secno">7.3.1. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews①①">MLNamedArrayBufferViews</a></code> transfer algorithm</span><a class="self-link" href="#mlnamedarraybufferviews-transfer-alg"></a></h4>
    <details class="algorithm" data-algorithm="transfer" data-algorithm-for="MLNamedArrayBufferViews" open>
-    <summary> To <dfn class="dfn-paneled" data-dfn-for="MLNamedArrayBufferViews" data-dfn-type="dfn" data-noexport id="mlnamedarraybufferviews-transfer">transfer</dfn> an <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews①⓪">MLNamedArrayBufferViews</a></code> <var>views</var> with <a data-link-type="dfn" href="https://tc39.es/ecma262/multipage/executable-code-and-execution-contexts.html#realm" id="ref-for-realm①">realm</a> <var>realm</var>: </summary>
+    <summary> To <dfn class="dfn-paneled" data-dfn-for="MLNamedArrayBufferViews" data-dfn-type="dfn" data-noexport id="mlnamedarraybufferviews-transfer">transfer</dfn> an <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews①②">MLNamedArrayBufferViews</a></code> <var>views</var> with <a data-link-type="dfn" href="https://tc39.es/ecma262/multipage/executable-code-and-execution-contexts.html#realm" id="ref-for-realm①">realm</a> <var>realm</var>: </summary>
     <ol>
      <li data-md>
-      <p>Let <var>transferredViews</var> be a new <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews①①">MLNamedArrayBufferViews</a></code>.</p>
+      <p>Let <var>transferredViews</var> be a new <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews①③">MLNamedArrayBufferViews</a></code>.</p>
      <li data-md>
       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-iterate" id="ref-for-map-iterate③">For each</a> <var>name</var> → <var>view</var> of <var>views</var>:</p>
       <ol>
        <li data-md>
         <p>Let <var>transferredBuffer</var> be the result of <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#arraybuffer-transfer" id="ref-for-arraybuffer-transfer">transferring</a> <var>view</var>’s <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#buffersource-underlying-buffer" id="ref-for-buffersource-underlying-buffer">underlying buffer</a>.</p>
        <li data-md>
-        <p>Let <var>constructor</var> be the appropriate <a data-link-type="dfn" href="https://tc39.es/ecma262/#table-the-typedarray-constructors" id="ref-for-table-the-typedarray-constructors④">view constructor</a> for the type of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView⑤">ArrayBufferView</a></code> <var>view</var> from <var>realm</var>.</p>
+        <p>Let <var>constructor</var> be the appropriate <a data-link-type="dfn" href="https://tc39.es/ecma262/#table-the-typedarray-constructors" id="ref-for-table-the-typedarray-constructors④">view constructor</a> for the type of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView⑦">ArrayBufferView</a></code> <var>view</var> from <var>realm</var>.</p>
        <li data-md>
         <p>Let <var>elementsNumber</var> be the result of <var>view</var>’s <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#buffersource-byte-length" id="ref-for-buffersource-byte-length">byte length</a> / <var>view</var>’s <a data-link-type="dfn" href="https://tc39.es/ecma262/#table-the-typedarray-constructors" id="ref-for-table-the-typedarray-constructors⑤">element size</a>.</p>
        <li data-md>
@@ -1764,17 +1774,17 @@ <h4 class="heading settled" data-level="7.3.1" id="mlnamedarraybufferviews-trans
     </ol>
    </details>
    <h4 class="heading settled" data-level="7.3.2" id="api-mlcontext-compute"><span class="secno">7.3.2. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-mlcontext-compute" id="ref-for-dom-mlcontext-compute④">compute()</a></code></span><a class="self-link" href="#api-mlcontext-compute"></a></h4>
-    Asynchronously carries out the computational workload of a compiled graph <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph⑨">MLGraph</a></code> on a separate timeline, either on a worker thread for the CPU execution, or on a GPU timeline for the submission of GPU workload on the command queue. The asynchronous nature of this call avoids blocking the calling thread while the computation for result is ongoing. This method of execution requires an <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext①⑧">MLContext</a></code> created with <code class="idl"><a data-link-type="idl" href="#dictdef-mlcontextoptions" id="ref-for-dictdef-mlcontextoptions⑤">MLContextOptions</a></code>. Otherwise, it <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw">throws</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror②">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑥">DOMException</a></code>. 
-   <div class="note" role="note"> In accordance with the <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#arraybufferview-write" id="ref-for-arraybufferview-write">Web IDL warning</a>, to prevent the calling thread from modifying the input and output resources while the computation is ongoing, this method <a data-link-type="dfn" href="#mlnamedarraybufferviews-transfer" id="ref-for-mlnamedarraybufferviews-transfer">transfers</a> the input and output <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews①②">MLNamedArrayBufferViews</a></code> to new views that share the same backing memory allocations. The transferred views are returned to the caller via the promise fulfillment with the computation result written into the backing memory of the output views. </div>
+    Asynchronously carries out the computational workload of a compiled graph <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph⑨">MLGraph</a></code> on a separate timeline, either on a worker thread for the CPU execution, or on a GPU timeline for the submission of GPU workload on the command queue. The asynchronous nature of this call avoids blocking the calling thread while the computation for result is ongoing. This method of execution requires an <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext①⑧">MLContext</a></code> created with <code class="idl"><a data-link-type="idl" href="#dictdef-mlcontextoptions" id="ref-for-dictdef-mlcontextoptions⑥">MLContextOptions</a></code>. Otherwise, it <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw">throws</a> an "<code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#operationerror" id="ref-for-operationerror②">OperationError</a></code>" <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-DOMException" id="ref-for-idl-DOMException⑥">DOMException</a></code>. 
+   <div class="note" role="note"> In accordance with the <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#arraybufferview-write" id="ref-for-arraybufferview-write">Web IDL warning</a>, to prevent the calling thread from modifying the input and output resources while the computation is ongoing, this method <a data-link-type="dfn" href="#mlnamedarraybufferviews-transfer" id="ref-for-mlnamedarraybufferviews-transfer">transfers</a> the input and output <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews①④">MLNamedArrayBufferViews</a></code> to new views that share the same backing memory allocations. The transferred views are returned to the caller via the promise fulfillment with the computation result written into the backing memory of the output views. </div>
    <div>
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
       <p><em>graph</em>: an <code class="idl"><a data-link-type="idl" href="#mlgraph" id="ref-for-mlgraph①⓪">MLGraph</a></code>. The compiled graph to be executed.</p>
      <li data-md>
-      <p><em>inputs</em>: an <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews①③">MLNamedArrayBufferViews</a></code>. The resources of inputs. Will be <a data-link-type="dfn" href="#mlnamedarraybufferviews-transfer" id="ref-for-mlnamedarraybufferviews-transfer①">transferred</a> if there are no validation errors.</p>
+      <p><em>inputs</em>: an <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews①⑤">MLNamedArrayBufferViews</a></code>. The resources of inputs. Will be <a data-link-type="dfn" href="#mlnamedarraybufferviews-transfer" id="ref-for-mlnamedarraybufferviews-transfer①">transferred</a> if there are no validation errors.</p>
      <li data-md>
-      <p><em>outputs</em>: an <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews①④">MLNamedArrayBufferViews</a></code>. The pre-allocated resources of required outputs. Will be <a data-link-type="dfn" href="#mlnamedarraybufferviews-transfer" id="ref-for-mlnamedarraybufferviews-transfer②">transferred</a> if there are no validation errors.</p>
+      <p><em>outputs</em>: an <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews①⑥">MLNamedArrayBufferViews</a></code>. The pre-allocated resources of required outputs. Will be <a data-link-type="dfn" href="#mlnamedarraybufferviews-transfer" id="ref-for-mlnamedarraybufferviews-transfer②">transferred</a> if there are no validation errors.</p>
     </ul>
     <p><strong>Returns:</strong> Promise&lt;<code class="idl"><a data-link-type="idl" href="#dictdef-mlcomputeresult" id="ref-for-dictdef-mlcomputeresult①">MLComputeResult</a></code>>.</p>
    </div>
@@ -1794,9 +1804,9 @@ <h4 class="heading settled" data-level="7.3.2" id="api-mlcontext-compute"><span
      <li data-md>
       <p>If <a data-link-type="dfn" href="#validate-graph-resources" id="ref-for-validate-graph-resources①">validating graph resources</a> given <var>outputs</var> and <var>graph</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgraph-outputdescriptors-slot" id="ref-for-dom-mlgraph-outputdescriptors-slot①">[[outputDescriptors]]</a></code> returns false, then return <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#a-new-promise" id="ref-for-a-new-promise⑦">a new promise</a> <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#reject" id="ref-for-reject⑦">rejected</a> with a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror④">TypeError</a></code>.</p>
      <li data-md>
-      <p>Let <var>transferredInputs</var> be the result of <a data-link-type="dfn" href="#mlnamedarraybufferviews-transfer" id="ref-for-mlnamedarraybufferviews-transfer③">transferring</a> <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews①⑤">MLNamedArrayBufferViews</a></code> <var>inputs</var> with <var>realm</var>.</p>
+      <p>Let <var>transferredInputs</var> be the result of <a data-link-type="dfn" href="#mlnamedarraybufferviews-transfer" id="ref-for-mlnamedarraybufferviews-transfer③">transferring</a> <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews①⑦">MLNamedArrayBufferViews</a></code> <var>inputs</var> with <var>realm</var>.</p>
      <li data-md>
-      <p>Let <var>transferredOutputs</var> be the result of <a data-link-type="dfn" href="#mlnamedarraybufferviews-transfer" id="ref-for-mlnamedarraybufferviews-transfer④">transferring</a> <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews①⑥">MLNamedArrayBufferViews</a></code> <var>outputs</var> with <var>realm</var>.</p>
+      <p>Let <var>transferredOutputs</var> be the result of <a data-link-type="dfn" href="#mlnamedarraybufferviews-transfer" id="ref-for-mlnamedarraybufferviews-transfer④">transferring</a> <code class="idl"><a data-link-type="idl" href="#typedefdef-mlnamedarraybufferviews" id="ref-for-typedefdef-mlnamedarraybufferviews①⑧">MLNamedArrayBufferViews</a></code> <var>outputs</var> with <var>realm</var>.</p>
      <li data-md>
       <p>Let <var>promise</var> be <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#a-new-promise" id="ref-for-a-new-promise⑧">a new promise</a>.</p>
      <li data-md>
@@ -1807,9 +1817,9 @@ <h4 class="heading settled" data-level="7.3.2" id="api-mlcontext-compute"><span
        <li data-md>
         <p>Let <var>result</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mlcomputeresult" id="ref-for-dictdef-mlcomputeresult②">MLComputeResult</a></code> with <var>realm</var>.</p>
        <li data-md>
-        <p>Set <var>result</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlcomputeresult-inputs" id="ref-for-dom-mlcomputeresult-inputs">inputs</a></code> to <var>transferredInputs</var>.</p>
+        <p>Set <var>result</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlcomputeresult-inputs" id="ref-for-dom-mlcomputeresult-inputs①">inputs</a></code> to <var>transferredInputs</var>.</p>
        <li data-md>
-        <p>Set <var>result</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlcomputeresult-outputs" id="ref-for-dom-mlcomputeresult-outputs">outputs</a></code> to <var>transferredOutputs</var>.</p>
+        <p>Set <var>result</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlcomputeresult-outputs" id="ref-for-dom-mlcomputeresult-outputs①">outputs</a></code> to <var>transferredOutputs</var>.</p>
        <li data-md>
         <p><a data-link-type="dfn" href="#queue-an-ml-task" id="ref-for-queue-an-ml-task⑤">Queue an ML task</a> with <var>global</var> to <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#resolve" id="ref-for-resolve②">resolve</a> <var>promise</var> with <var>result</var>.</p>
       </ol>
@@ -1888,27 +1898,31 @@ <h3 class="heading settled" data-level="7.5" id="api-mloperanddescriptor"><span
 };
 
 <c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mloperanddescriptor"><code><c- g>MLOperandDescriptor</c-></code></dfn> {
-  // The operand type.
-  <c- b>required</c-> <a data-link-type="idl-name" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype①"><c- n>MLOperandDataType</c-></a> <dfn class="dfn-paneled idl-code" data-dfn-for="MLOperandDescriptor" data-dfn-type="dict-member" data-export data-type="MLOperandDataType " id="dom-mloperanddescriptor-datatype"><code><c- g>dataType</c-></code></dfn>;
-
-  // The dimensions field is empty for scalar operands,
-  // and non-empty for tensor operands.
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence"><c- b>sequence</c-></a>&lt;[<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#EnforceRange" id="ref-for-EnforceRange"><c- g>EnforceRange</c-></a>] <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long"><c- b>unsigned</c-> <c- b>long</c-></a>> <dfn class="dfn-paneled idl-code" data-default="[]" data-dfn-for="MLOperandDescriptor" data-dfn-type="dict-member" data-export data-type="sequence<[EnforceRange] unsigned long> " id="dom-mloperanddescriptor-dimensions"><code><c- g>dimensions</c-></code></dfn> = [];
+  <c- b>required</c-> <a data-link-type="idl-name" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype①"><c- n>MLOperandDataType</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperandDataType " href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①"><c- g>dataType</c-></a>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence"><c- b>sequence</c-></a>&lt;[<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#EnforceRange" id="ref-for-EnforceRange"><c- g>EnforceRange</c-></a>] <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-default="[]" data-link-type="dict-member" data-type="sequence<[EnforceRange] unsigned long> " href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①"><c- g>dimensions</c-></a> = [];
 };
 </pre>
+   <dl>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOperandDescriptor" data-dfn-type="dict-member" data-export id="dom-mloperanddescriptor-datatype"><code>dataType</code></dfn>, <span> of type <a data-link-type="idl-name" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype②">MLOperandDataType</a></span>
+    <dd data-md>
+     <p>The operand data type.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOperandDescriptor" data-dfn-type="dict-member" data-export id="dom-mloperanddescriptor-dimensions"><code>dimensions</code></dfn>, <span> of type <code class="idl-code">sequence&lt;[EnforceRange] unsigned long></code>, defaulting to <code>[]</code></span>
+    <dd data-md>
+     <p>The shape of the operand. It is empty for scalar operands, and non-empty for tensor operands.</p>
+   </dl>
    <details class="algorithm" data-algorithm="byte length" data-algorithm-for="MLOperandDescriptor" open>
     <summary> The <dfn class="dfn-paneled" data-dfn-for="MLOperandDescriptor" data-dfn-type="dfn" data-noexport id="mloperanddescriptor-byte-length">byte length</dfn> of an <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor⑧">MLOperandDescriptor</a></code> <var>desc</var> is the value returned by the following steps: </summary>
     <ol>
      <li data-md>
       <p>Let <var>elementLength</var> be 1.</p>
      <li data-md>
-      <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-iterate" id="ref-for-list-iterate">For each</a> <var>dimension</var> of <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①">dimensions</a></code>:</p>
+      <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-iterate" id="ref-for-list-iterate">For each</a> <var>dimension</var> of <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②">dimensions</a></code>:</p>
       <ol>
        <li data-md>
         <p>Set <var>elementLength</var> to <var>elementLength</var> * <var>dimension</var>.</p>
       </ol>
      <li data-md>
-      <p>Let <var>elementSize</var> be the <a data-link-type="dfn" href="https://tc39.es/ecma262/#table-the-typedarray-constructors" id="ref-for-table-the-typedarray-constructors⑥">element size</a> of one of the <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView⑥">ArrayBufferView</a></code> types that matches <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①">dataType</a></code> according to <a href="#appendices-mloperanddatatype-arraybufferview-compatibility">this table</a>.</p>
+      <p>Let <var>elementSize</var> be the <a data-link-type="dfn" href="https://tc39.es/ecma262/#table-the-typedarray-constructors" id="ref-for-table-the-typedarray-constructors⑥">element size</a> of one of the <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView⑧">ArrayBufferView</a></code> types that matches <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②">dataType</a></code> according to <a href="#appendices-mloperanddatatype-arraybufferview-compatibility">this table</a>.</p>
      <li data-md>
       <p>Return <var>elementLength</var> * <var>elementSize</var>.</p>
     </ol>
@@ -1917,9 +1931,9 @@ <h3 class="heading settled" data-level="7.5" id="api-mloperanddescriptor"><span
     <summary> To <dfn class="dfn-paneled" data-dfn-for="MLOperandDescriptor" data-dfn-type="dfn" data-noexport id="mloperanddescriptor-check-dimensions">check dimensions</dfn> given <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor⑨">MLOperandDescriptor</a></code> <var>descriptor</var>, run the following steps: </summary>
     <ol>
      <li data-md>
-      <p>If any element of <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②">dimensions</a></code> is too large to be supported by the implementation, return false.</p>
+      <p>If any element of <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③">dimensions</a></code> is too large to be supported by the implementation, return false.</p>
      <li data-md>
-      <p>If <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③">dimensions</a></code>'s <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size">size</a> is too large to be supported by the implementation, return false.</p>
+      <p>If <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions④">dimensions</a></code>'s <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size">size</a> is too large to be supported by the implementation, return false.</p>
       <p class="issue" id="issue-8054fa8e"><a class="self-link" href="#issue-8054fa8e"></a> The maximum number of operand dimensions is not defined, but native ML APIs usually have a maximum supported size. <a href="https://github.com/webmachinelearning/webnn/issues/456">[Issue #456]</a></p>
      <li data-md>
       <p>If <var>descriptor</var>’s <a data-link-type="dfn" href="#mloperanddescriptor-byte-length" id="ref-for-mloperanddescriptor-byte-length②">byte length</a> is not supported by the implementation, then return false.</p>
@@ -1932,7 +1946,7 @@ <h3 class="heading settled" data-level="7.6" id="api-mloperand"><span class="sec
    <p>For instance, an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑧">MLOperand</a></code> may represent a constant feeding to an operation or the result from combining multiple constants together into an operation. See also <a href="#programming-model">§ 6 Programming Model</a>.</p>
 <pre class="idl highlight def">[<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#SecureContext" id="ref-for-SecureContext④"><c- g>SecureContext</c-></a>, <a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#Exposed" id="ref-for-Exposed③"><c- g>Exposed</c-></a>=(<c- n>Window</c->, <c- n>DedicatedWorker</c->)]
 <c- b>interface</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="interface" data-export id="mloperand"><code><c- g>MLOperand</c-></code></dfn> {
-  <a data-link-type="idl-name" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype②"><c- n>MLOperandDataType</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mloperand-datatype" id="ref-for-dom-mloperand-datatype"><c- g>dataType</c-></a>();
+  <a data-link-type="idl-name" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype③"><c- n>MLOperandDataType</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mloperand-datatype" id="ref-for-dom-mloperand-datatype"><c- g>dataType</c-></a>();
   <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="method" href="#dom-mloperand-shape" id="ref-for-dom-mloperand-shape"><c- g>shape</c-></a>();
 };
 </pre>
@@ -1953,9 +1967,9 @@ <h3 class="heading settled" data-level="7.6" id="api-mloperand"><span class="sec
       <p>Reference to <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②③">MLOperand</a></code>'s corresponding <a data-link-type="dfn" href="#operators" id="ref-for-operators⑥">operator</a>.</p>
     </dl>
    </div>
-   <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②④">MLOperand</a></code>'s <dfn class="dfn-paneled" data-dfn-for="MLOperand" data-dfn-type="dfn" data-noexport id="mloperand-shape">shape</dfn> is its <code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions④">dimensions</a></code>.</p>
+   <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②④">MLOperand</a></code>'s <dfn class="dfn-paneled" data-dfn-for="MLOperand" data-dfn-type="dfn" data-noexport id="mloperand-shape">shape</dfn> is its <code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑤">dimensions</a></code>.</p>
    <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑤">MLOperand</a></code>'s <dfn class="dfn-paneled" data-dfn-for="MLOperand" data-dfn-type="dfn" data-noexport id="mloperand-rank">rank</dfn> is its <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape">shape</a>'s <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size①">size</a>.</p>
-   <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑥">MLOperand</a></code>'s <dfn class="dfn-paneled" data-dfn-for="MLOperand" data-dfn-type="dfn" data-noexport id="mloperand-datatype">dataType</dfn> is its <code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②">dataType</a></code>.</p>
+   <p>An <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑥">MLOperand</a></code>'s <dfn class="dfn-paneled" data-dfn-for="MLOperand" data-dfn-type="dfn" data-noexport id="mloperand-datatype">dataType</dfn> is its <code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①">[[descriptor]]</a></code>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype③">dataType</a></code>.</p>
    <p>Since the <code class="idl"><a data-link-type="idl" href="#dom-mloperand-builder-slot" id="ref-for-dom-mloperand-builder-slot">[[builder]]</a></code> object is bound by the <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-mlgraphbuilder" id="ref-for-dom-mlgraphbuilder-mlgraphbuilder">MLGraphBuilder()</a></code> constructor to an <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext②①">MLContext</a></code> object, an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑦">MLOperand</a></code> is also always bound to the same <code class="idl"><a data-link-type="idl" href="#mlcontext" id="ref-for-mlcontext②②">MLContext</a></code> object.</p>
    <h4 class="heading settled" data-level="7.6.1" id="api-mloperand-create"><span class="secno">7.6.1. </span><span class="content">Creating an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑧">MLOperand</a></code></span><a class="self-link" href="#api-mloperand-create"></a></h4>
     The <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑨">MLOperand</a></code> objects are created by the methods of <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑥">MLGraphBuilder</a></code>, internally using the following algorithms. 
@@ -1990,7 +2004,7 @@ <h4 class="heading settled" data-level="7.6.1" id="api-mloperand-create"><span c
    <p class="algorithm" data-algorithm="validate operand" data-algorithm-for="MLGraphBuilder"> To <dfn class="dfn-paneled" data-dfn-for="MLGraphBuilder" data-dfn-type="dfn" data-noexport id="mlgraphbuilder-validate-operand">validate operand</dfn> given <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑧">MLGraphBuilder</a></code> <var>builder</var> and <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③③">MLOperand</a></code> <var>operand</var>, return true if <var>operand</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-builder-slot" id="ref-for-dom-mloperand-builder-slot④">[[builder]]</a></code> is <var>builder</var>, and false otherwise. </p>
    <h4 class="heading settled" data-level="7.6.2" id="api-mloperand-datatype"><span class="secno">7.6.2. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-mloperand-datatype" id="ref-for-dom-mloperand-datatype①">dataType()</a></code></span><a class="self-link" href="#api-mloperand-datatype"></a></h4>
     Return a data type of the <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③④">MLOperand</a></code>. 
-   <div> <strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype③">MLOperandDataType</a></code>. The data type of the operand. </div>
+   <div> <strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype④">MLOperandDataType</a></code>. The data type of the operand. </div>
    <details class="algorithm" data-algorithm="dataType()" data-algorithm-for="MLOperand" open>
     <summary> The <dfn class="dfn-paneled idl-code" data-dfn-for="MLOperand" data-dfn-type="method" data-export id="dom-mloperand-datatype"><code>dataType()</code></dfn> method steps are: </summary>
     <ol>
@@ -2061,10 +2075,10 @@ <h3 class="heading settled" data-level="7.8" id="api-mlgraphbuilder"><span class
   <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑦"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-input" id="ref-for-dom-mlgraphbuilder-input"><c- g>input</c-></a>(<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-DOMString" id="ref-for-idl-DOMString④"><c- b>DOMString</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/input(name, descriptor)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-input-name-descriptor-name"><code><c- g>name</c-></code><a class="self-link" href="#dom-mlgraphbuilder-input-name-descriptor-name"></a></dfn>, <a data-link-type="idl-name" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①②"><c- n>MLOperandDescriptor</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/input(name, descriptor)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-input-name-descriptor-descriptor"><code><c- g>descriptor</c-></code><a class="self-link" href="#dom-mlgraphbuilder-input-name-descriptor-descriptor"></a></dfn>);
 
   // Create an operand for a graph constant.
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑧"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-constant" id="ref-for-dom-mlgraphbuilder-constant"><c- g>constant</c-></a>(<a data-link-type="idl-name" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①③"><c- n>MLOperandDescriptor</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/constant(descriptor, bufferView)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-constant-descriptor-bufferview-descriptor"><code><c- g>descriptor</c-></code><a class="self-link" href="#dom-mlgraphbuilder-constant-descriptor-bufferview-descriptor"></a></dfn>, <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView⑦"><c- n>ArrayBufferView</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/constant(descriptor, bufferView)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-constant-descriptor-bufferview-bufferview"><code><c- g>bufferView</c-></code><a class="self-link" href="#dom-mlgraphbuilder-constant-descriptor-bufferview-bufferview"></a></dfn>);
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑧"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-constant" id="ref-for-dom-mlgraphbuilder-constant"><c- g>constant</c-></a>(<a data-link-type="idl-name" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①③"><c- n>MLOperandDescriptor</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/constant(descriptor, bufferView)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-constant-descriptor-bufferview-descriptor"><code><c- g>descriptor</c-></code><a class="self-link" href="#dom-mlgraphbuilder-constant-descriptor-bufferview-descriptor"></a></dfn>, <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView⑨"><c- n>ArrayBufferView</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/constant(descriptor, bufferView)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-constant-descriptor-bufferview-bufferview"><code><c- g>bufferView</c-></code><a class="self-link" href="#dom-mlgraphbuilder-constant-descriptor-bufferview-bufferview"></a></dfn>);
 
   // Create a single-value operand from the specified number of the specified type.
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑨"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-constant-value-type" id="ref-for-dom-mlgraphbuilder-constant-value-type"><c- g>constant</c-></a>(<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-double" id="ref-for-idl-double"><c- b>double</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/constant(value, type), MLGraphBuilder/constant(value)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-constant-value-type-value"><code><c- g>value</c-></code><a class="self-link" href="#dom-mlgraphbuilder-constant-value-type-value"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype④"><c- n>MLOperandDataType</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/constant(value, type), MLGraphBuilder/constant(value)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-constant-value-type-type"><code><c- g>type</c-></code><a class="self-link" href="#dom-mlgraphbuilder-constant-value-type-type"></a></dfn> = "float32");
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③⑨"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-constant-value-type" id="ref-for-dom-mlgraphbuilder-constant-value-type"><c- g>constant</c-></a>(<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-double" id="ref-for-idl-double"><c- b>double</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/constant(value, type), MLGraphBuilder/constant(value)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-constant-value-type-value"><code><c- g>value</c-></code><a class="self-link" href="#dom-mlgraphbuilder-constant-value-type-value"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype⑤"><c- n>MLOperandDataType</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/constant(value, type), MLGraphBuilder/constant(value)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-constant-value-type-type"><code><c- g>type</c-></code><a class="self-link" href="#dom-mlgraphbuilder-constant-value-type-type"></a></dfn> = "float32");
 
   // Compile the graph up to the specified output operands asynchronously.
   <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-promise" id="ref-for-idl-promise④"><c- b>Promise</c-></a>&lt;<a data-link-type="idl-name" href="#mlgraph" id="ref-for-mlgraph①⑧"><c- n>MLGraph</c-></a>> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-build" id="ref-for-dom-mlgraphbuilder-build①"><c- g>build</c-></a>(<a data-link-type="idl-name" href="#typedefdef-mlnamedoperands" id="ref-for-typedefdef-mlnamedoperands"><c- n>MLNamedOperands</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/build(outputs)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-build-outputs-outputs"><code><c- g>outputs</c-></code><a class="self-link" href="#dom-mlgraphbuilder-build-outputs-outputs"></a></dfn>);
@@ -2132,7 +2146,7 @@ <h5 class="heading settled" data-level="7.8.3.1" id="api-mlgraphbuilder-constant
      <li data-md>
       <p><em>descriptor</em>: an <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①⑤">MLOperandDescriptor</a></code>. The descriptor of the output tensor.</p>
      <li data-md>
-      <p><em>bufferView</em>: an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView⑧">ArrayBufferView</a></code>. The view of the buffer containing the initializing data.</p>
+      <p><em>bufferView</em>: an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView①⓪">ArrayBufferView</a></code>. The view of the buffer containing the initializing data.</p>
     </ul>
      <strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④④">MLOperand</a></code>. The constant output tensor. 
    </div>
@@ -2166,7 +2180,7 @@ <h5 class="heading settled" data-level="7.8.3.2" id="api-mlgraphbuilder-constant
      <li data-md>
       <p><em>value</em>: a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float">float</a></code> number. The value of the constant.</p>
      <li data-md>
-      <p><em>type</em>: an optional <code class="idl"><a data-link-type="idl" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype⑤">MLOperandDataType</a></code>. If not specified, it is assumed to be <code class="idl"><a data-link-type="idl" href="#dom-mloperanddatatype-float32" id="ref-for-dom-mloperanddatatype-float32">"float32"</a></code>.</p>
+      <p><em>type</em>: an optional <code class="idl"><a data-link-type="idl" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype⑥">MLOperandDataType</a></code>. If not specified, it is assumed to be <code class="idl"><a data-link-type="idl" href="#dom-mloperanddatatype-float32" id="ref-for-dom-mloperanddatatype-float32">"float32"</a></code>.</p>
     </ul>
      <strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④⑥">MLOperand</a></code>. The constant output. 
    </div>
@@ -2177,9 +2191,9 @@ <h5 class="heading settled" data-level="7.8.3.2" id="api-mlgraphbuilder-constant
       <p>Let <var>descriptor</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①⑥">MLOperandDescriptor</a></code>.</p>
       <ol>
        <li data-md>
-        <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype③">dataType</a></code> to <var>type</var>.</p>
+        <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype④">dataType</a></code> to <var>type</var>.</p>
        <li data-md>
-        <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑤">dimensions</a></code> to an empty <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list" id="ref-for-list">list</a>.</p>
+        <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑥">dimensions</a></code> to an empty <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list" id="ref-for-list">list</a>.</p>
       </ol>
      <li data-md>
       <p><em>Make graph connections:</em></p>
@@ -2206,7 +2220,7 @@ <h5 class="heading settled" data-level="7.8.3.3" id="api-mlgraphbuilder-constant
      <li data-md>
       <p><em>step</em>: a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③">float</a></code> scalar. The gap value between two data points in the range.</p>
      <li data-md>
-      <p><em>type</em>: an optional <code class="idl"><a data-link-type="idl" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype⑥">MLOperandDataType</a></code>. If not specified, it is assumed to be <code class="idl"><a data-link-type="idl" href="#dom-mloperanddatatype-float32" id="ref-for-dom-mloperanddatatype-float32①">"float32"</a></code>.</p>
+      <p><em>type</em>: an optional <code class="idl"><a data-link-type="idl" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype⑦">MLOperandDataType</a></code>. If not specified, it is assumed to be <code class="idl"><a data-link-type="idl" href="#dom-mloperanddatatype-float32" id="ref-for-dom-mloperanddatatype-float32①">"float32"</a></code>.</p>
     </ul>
      <strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④⑧">MLOperand</a></code>. The constant 1-D output tensor of size <code>max(0, ceil((end - start)/step))</code>. 
    </div>
@@ -2217,11 +2231,11 @@ <h5 class="heading settled" data-level="7.8.3.3" id="api-mlgraphbuilder-constant
       <p>Let <var>descriptor</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①⑦">MLOperandDescriptor</a></code>.</p>
       <ol>
        <li data-md>
-        <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype④">dataType</a></code> to <var>type</var>.</p>
+        <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype⑤">dataType</a></code> to <var>type</var>.</p>
        <li data-md>
         <p>Let <var>size</var> be max(0, ceil((<var>end</var> - <var>start</var>)/<var>step</var>)).</p>
        <li data-md>
-        <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑥">dimensions</a></code> to the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list" id="ref-for-list①">list</a> « <var>size</var> ».</p>
+        <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑦">dimensions</a></code> to the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list" id="ref-for-list①">list</a> « <var>size</var> ».</p>
       </ol>
      <li data-md>
       <p><em>Make graph connections:</em></p>
@@ -2229,7 +2243,7 @@ <h5 class="heading settled" data-level="7.8.3.3" id="api-mlgraphbuilder-constant
        <li data-md>
         <p>Let <var>operand</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand③">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this①⑦">this</a> and <var>descriptor</var>.</p>
        <li data-md>
-        <p>Let <var>buffer</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined">implementation-defined</a> platform memory buffer the size of <var>size</var> multiplied by sizeof(<var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype⑤">dataType</a></code>).</p>
+        <p>Let <var>buffer</var> be an <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#implementation-defined" id="ref-for-implementation-defined">implementation-defined</a> platform memory buffer the size of <var>size</var> multiplied by sizeof(<var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype⑥">dataType</a></code>).</p>
        <li data-md>
         <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-iterate" id="ref-for-list-iterate①">For each</a> <var>index</var> in <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#the-range" id="ref-for-the-range">the range</a> 0 to <var>size</var>, exclusive:</p>
         <ol>
@@ -2379,9 +2393,9 @@ <h4 class="heading settled" data-level="7.8.5" id="api-mlgraphbuilder-argminmax"
      <li data-md>
       <p>Let <var>desc</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①⑧">MLOperandDescriptor</a></code>.</p>
      <li data-md>
-      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype⑥">dataType</a></code> to <code class="idl"><a data-link-type="idl" href="#dom-mloperanddatatype-int64" id="ref-for-dom-mloperanddatatype-int64①">"int64"</a></code>.</p>
+      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype⑦">dataType</a></code> to <code class="idl"><a data-link-type="idl" href="#dom-mloperanddatatype-int64" id="ref-for-dom-mloperanddatatype-int64①">"int64"</a></code>.</p>
      <li data-md>
-      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑦">dimensions</a></code> to <var>outputShape</var>.</p>
+      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑧">dimensions</a></code> to <var>outputShape</var>.</p>
      <li data-md>
       <p><em>Make graph connections:</em></p>
       <ol>
@@ -2552,7 +2566,7 @@ <h4 class="heading settled" data-level="7.8.6" id="api-mlgraphbuilder-batchnorm"
    <h4 class="heading settled" data-level="7.8.7" id="api-mlgraphbuilder-cast"><span class="secno">7.8.7. </span><span class="content">cast</span><a class="self-link" href="#api-mlgraphbuilder-cast"></a></h4>
     Cast each element in the input tensor to the target data type. 
 <pre class="idl highlight def"><c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder②③"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑥⑨"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-cast" id="ref-for-dom-mlgraphbuilder-cast"><c- g>cast</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑦⓪"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/cast(input, type)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-cast-input-type-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-cast-input-type-input"></a></dfn>, <a data-link-type="idl-name" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype⑦"><c- n>MLOperandDataType</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/cast(input, type)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-cast-input-type-type"><code><c- g>type</c-></code><a class="self-link" href="#dom-mlgraphbuilder-cast-input-type-type"></a></dfn>);
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑥⑨"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-cast" id="ref-for-dom-mlgraphbuilder-cast"><c- g>cast</c-></a>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand⑦⓪"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/cast(input, type)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-cast-input-type-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-cast-input-type-input"></a></dfn>, <a data-link-type="idl-name" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype⑧"><c- n>MLOperandDataType</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/cast(input, type)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-cast-input-type-type"><code><c- g>type</c-></code><a class="self-link" href="#dom-mlgraphbuilder-cast-input-type-type"></a></dfn>);
 };
 </pre>
    <div>
@@ -2561,7 +2575,7 @@ <h4 class="heading settled" data-level="7.8.7" id="api-mlgraphbuilder-cast"><spa
      <li data-md>
       <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑦①">MLOperand</a></code>. The input N-D tensor.</p>
      <li data-md>
-      <p><em>type</em>: an <code class="idl"><a data-link-type="idl" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype⑧">MLOperandDataType</a></code>. The target data type.</p>
+      <p><em>type</em>: an <code class="idl"><a data-link-type="idl" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype⑨">MLOperandDataType</a></code>. The target data type.</p>
     </ul>
     <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑦②">MLOperand</a></code>. The N-D tensor of the same shape as <em>input</em> with each element casted to the target data type.</p>
    </div>
@@ -2591,8 +2605,8 @@ <h4 class="heading settled" data-level="7.8.7" id="api-mlgraphbuilder-cast"><spa
    <h4 class="heading settled" data-level="7.8.8" id="api-mlgraphbuilder-clamp"><span class="secno">7.8.8. </span><span class="content">clamp</span><a class="self-link" href="#api-mlgraphbuilder-clamp"></a></h4>
     Clamp the input tensor element-wise within a range specified by the minimum and maximum values. 
 <pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlclampoptions"><code><c- g>MLClampOptions</c-></code></dfn> {
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float⑥"><c- b>float</c-></a> <dfn class="dfn-paneled idl-code" data-dfn-for="MLClampOptions" data-dfn-type="dict-member" data-export data-type="float " id="dom-mlclampoptions-minvalue"><code><c- g>minValue</c-></code></dfn>;
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float⑦"><c- b>float</c-></a> <dfn class="dfn-paneled idl-code" data-dfn-for="MLClampOptions" data-dfn-type="dict-member" data-export data-type="float " id="dom-mlclampoptions-maxvalue"><code><c- g>maxValue</c-></code></dfn>;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float⑥"><c- b>float</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="float " href="#dom-mlclampoptions-minvalue" id="ref-for-dom-mlclampoptions-minvalue"><c- g>minValue</c-></a>;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float⑦"><c- b>float</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="float " href="#dom-mlclampoptions-maxvalue" id="ref-for-dom-mlclampoptions-maxvalue"><c- g>maxValue</c-></a>;
 };
 
 <c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder②④"><c- g>MLGraphBuilder</c-></a> {
@@ -2600,6 +2614,14 @@ <h4 class="heading settled" data-level="7.8.8" id="api-mlgraphbuilder-clamp"><sp
   <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation①④"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-clamp-options" id="ref-for-dom-mlgraphbuilder-clamp-options"><c- g>clamp</c-></a>(<c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlclampoptions" id="ref-for-dictdef-mlclampoptions①"><c- n>MLClampOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/clamp(options), MLGraphBuilder/clamp()" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-clamp-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-clamp-options-options"></a></dfn> = {});
 };
 </pre>
+   <dl>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLClampOptions" data-dfn-type="dict-member" data-export id="dom-mlclampoptions-minvalue"><code>minValue</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float⑧">float</a></span>
+    <dd data-md>
+     <p>The minimum value of the range. When it is not specified, the clamping is not performed on the lower limit of the range.</p>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLClampOptions" data-dfn-type="dict-member" data-export id="dom-mlclampoptions-maxvalue"><code>maxValue</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float⑨">float</a></span>
+    <dd data-md>
+     <p>The maximum value of the range. When it is not specified, the clamping is not performed on the upper limit of the range.</p>
+   </dl>
    <div class="note" role="note">
     <details open>
      <summary> The behavior of this operation can be generically emulated from the usage of
@@ -2628,7 +2650,8 @@ <h4 class="heading settled" data-level="7.8.8" id="api-mlgraphbuilder-clamp"><sp
     <summary> To <dfn class="dfn-paneled" data-dfn-type="dfn" data-noexport id="check-clamp-options">check clamp options</dfn> given <code class="idl"><a data-link-type="idl" href="#dictdef-mlclampoptions" id="ref-for-dictdef-mlclampoptions②">MLClampOptions</a></code> <var>options</var>, run the following steps: </summary>
     <ol>
      <li data-md>
-      <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlclampoptions-minvalue" id="ref-for-dom-mlclampoptions-minvalue">minValue</a></code> is greater than <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlclampoptions-maxvalue" id="ref-for-dom-mlclampoptions-maxvalue">maxValue</a></code>, then return false.</p>
+      <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlclampoptions-minvalue" id="ref-for-dom-mlclampoptions-minvalue①">minValue</a></code> is greater than <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlclampoptions-maxvalue" id="ref-for-dom-mlclampoptions-maxvalue①">maxValue</a></code>, then return false.</p>
+      <p class="issue" id="issue-ebd3b60c"><a class="self-link" href="#issue-ebd3b60c"></a> Not all implementations support <code class="idl"><a data-link-type="idl" href="#dom-mlclampoptions-minvalue" id="ref-for-dom-mlclampoptions-minvalue②">minValue</a></code> equal to <code class="idl"><a data-link-type="idl" href="#dom-mlclampoptions-maxvalue" id="ref-for-dom-mlclampoptions-maxvalue②">maxValue</a></code>. <a href="https://github.com/webmachinelearning/webnn/issues/396">[Issue #396]</a></p>
      <li data-md>
       <p>Return true.</p>
     </ol>
@@ -2641,12 +2664,6 @@ <h5 class="heading settled" data-level="7.8.8.1" id="api-mlgraphbuilder-clamp-op
       <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑦⑤">MLOperand</a></code>. The input tensor.</p>
      <li data-md>
       <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlclampoptions" id="ref-for-dictdef-mlclampoptions③">MLClampOptions</a></code>. The optional parameters of the operation.</p>
-      <ul>
-       <li data-md>
-        <p><em>minValue</em>: a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float⑧">float</a></code> scalar. Specifies the minimum value of the range. When it is not specified, the clamping is not performed on the lower limit of the range.</p>
-       <li data-md>
-        <p><em>maxValue</em>: a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float⑨">float</a></code> scalar. Specifies the maximum value of the range. When it is not specified, the clamping is not performed on the upper limit of the range.</p>
-      </ul>
     </ul>
      <strong>Returns:</strong> 
     <ul>
@@ -2667,7 +2684,7 @@ <h5 class="heading settled" data-level="7.8.8.1" id="api-mlgraphbuilder-clamp-op
        <li data-md>
         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#copy-an-mloperand" id="ref-for-copy-an-mloperand①">copying an MLOperand</a> given <var>input</var>.</p>
        <li data-md>
-        <p>Let <var>operator</var> be an <a data-link-type="dfn" href="#operators" id="ref-for-operators①③">operator</a> for the clamp operation, given <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlclampoptions-minvalue" id="ref-for-dom-mlclampoptions-minvalue①">minValue</a></code> and <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlclampoptions-maxvalue" id="ref-for-dom-mlclampoptions-maxvalue①">maxValue</a></code>.</p>
+        <p>Let <var>operator</var> be an <a data-link-type="dfn" href="#operators" id="ref-for-operators①③">operator</a> for the clamp operation, given <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlclampoptions-minvalue" id="ref-for-dom-mlclampoptions-minvalue③">minValue</a></code> and <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlclampoptions-maxvalue" id="ref-for-dom-mlclampoptions-maxvalue③">maxValue</a></code>.</p>
        <li data-md>
         <p>Set <var>output</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-operator-slot" id="ref-for-dom-mloperand-operator-slot⑤">[[operator]]</a></code> to <var>operator</var>.</p>
        <li data-md>
@@ -2685,12 +2702,6 @@ <h5 class="heading settled" data-level="7.8.8.2" id="api-mlgraphbuilder-clamp-op
     <ul>
      <li data-md>
       <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlclampoptions" id="ref-for-dictdef-mlclampoptions④">MLClampOptions</a></code>. The optional parameters of the operation.</p>
-      <ul>
-       <li data-md>
-        <p><em>minValue</em>: a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①⓪">float</a></code> scalar. Specifies the minimum value of the range. When it is not specified, the clamping is not performed on the lower limit of the range.</p>
-       <li data-md>
-        <p><em>maxValue</em>: a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①①">float</a></code> scalar. Specifies the maximum value of the range. When it is not specified, the clamping is not performed on the upper limit of the range.</p>
-      </ul>
     </ul>
      <strong>Returns:</strong> 
     <ul>
@@ -2743,11 +2754,11 @@ <h4 class="heading settled" data-level="7.8.9" id="api-mlgraphbuilder-concat"><s
      <li data-md>
       <p>Let <var>desc</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor①⑨">MLOperandDescriptor</a></code>.</p>
      <li data-md>
-      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype⑦">dataType</a></code> to <var>first</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype①">dataType</a>.</p>
+      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype⑧">dataType</a></code> to <var>first</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype①">dataType</a>.</p>
      <li data-md>
-      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑧">dimensions</a></code> to a <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-clone" id="ref-for-list-clone">clone</a> of <var>first</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape①①">shape</a>.</p>
+      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑨">dimensions</a></code> to a <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-clone" id="ref-for-list-clone">clone</a> of <var>first</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape①①">shape</a>.</p>
      <li data-md>
-      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions⑨">dimensions</a></code>[<var>axis</var>] to <var>first</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape①②">shape</a>[<var>axis</var>].</p>
+      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⓪">dimensions</a></code>[<var>axis</var>] to <var>first</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape①②">shape</a>[<var>axis</var>].</p>
      <li data-md>
       <p><a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-iterate" id="ref-for-list-iterate④">For each</a> <var>index</var> in <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#the-range" id="ref-for-the-range③">the range</a> 1 to <var>inputs</var>’s <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size⑨">size</a>, exclusive:</p>
       <ol>
@@ -2764,7 +2775,7 @@ <h4 class="heading settled" data-level="7.8.9" id="api-mlgraphbuilder-concat"><s
          <li data-md>
           <p>If <var>dim</var> is not equal to <var>axis</var> and if <var>input</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape①③">shape</a>[<var>dim</var>] is not equal to <var>first</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape①④">shape</a>[<var>dim</var>], then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw③②">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror③⑥">TypeError</a></code>.</p>
          <li data-md>
-          <p>If <var>dim</var> is equal to <var>axis</var>, add to <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⓪">dimensions</a></code>[<var>axis</var>] the value of <var>input</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape①⑤">shape</a>[<var>dim</var>].</p>
+          <p>If <var>dim</var> is equal to <var>axis</var>, add to <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①①">dimensions</a></code>[<var>axis</var>] the value of <var>input</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape①⑤">shape</a>[<var>dim</var>].</p>
         </ol>
       </ol>
      <li data-md>
@@ -3057,9 +3068,9 @@ <h4 class="heading settled" data-level="7.8.10" id="api-mlgraphbuilder-conv2d"><
        <li data-md>
         <p>Let <var>desc</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor②⓪">MLOperandDescriptor</a></code>.</p>
        <li data-md>
-        <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype⑧">dataType</a></code> to <var>input</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype⑧">dataType</a>.</p>
+        <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype⑨">dataType</a></code> to <var>input</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype⑧">dataType</a>.</p>
        <li data-md>
-        <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①①">dimensions</a></code> to <var>outputShape</var>.</p>
+        <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①②">dimensions</a></code> to <var>outputShape</var>.</p>
       </ol>
      <li data-md>
       <p><em>Make graph connections:</em></p>
@@ -3360,9 +3371,9 @@ <h4 class="heading settled" data-level="7.8.11" id="api-mlgraphbuilder-convtrans
        <li data-md>
         <p>Let <var>desc</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor②①">MLOperandDescriptor</a></code>.</p>
        <li data-md>
-        <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype⑨">dataType</a></code> to <var>input</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype①③">dataType</a>.</p>
+        <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①⓪">dataType</a></code> to <var>input</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype①③">dataType</a>.</p>
        <li data-md>
-        <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①②">dimensions</a></code> to <var>outputShape</var>.</p>
+        <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①③">dimensions</a></code> to <var>outputShape</var>.</p>
       </ol>
      <li data-md>
       <p><em>Make graph connections:</em></p>
@@ -3442,9 +3453,9 @@ <h4 class="heading settled" data-level="7.8.12" id="api-mlgraphbuilder-binary"><
      <li data-md>
       <p>Let <var>descriptor</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor②②">MLOperandDescriptor</a></code>.</p>
      <li data-md>
-      <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①⓪">dataType</a></code> to <var>a</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype①⑥">dataType</a>.</p>
+      <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①①">dataType</a></code> to <var>a</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype①⑥">dataType</a>.</p>
      <li data-md>
-      <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①③">dimensions</a></code> to the result of <a data-link-type="dfn" href="#bidirectionally-broadcasting-the-shapes" id="ref-for-bidirectionally-broadcasting-the-shapes">bidirectionally broadcasting the shapes</a> <var>a</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape②⓪">shape</a> and <var>b</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape②①">shape</a>.</p>
+      <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①④">dimensions</a></code> to the result of <a data-link-type="dfn" href="#bidirectionally-broadcasting-the-shapes" id="ref-for-bidirectionally-broadcasting-the-shapes">bidirectionally broadcasting the shapes</a> <var>a</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape②⓪">shape</a> and <var>b</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape②①">shape</a>.</p>
       <ol>
        <li data-md>
         <p>If that returns failure, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑥⑤">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror⑥⑨">TypeError</a></code>.</p>
@@ -3625,9 +3636,9 @@ <h4 class="heading settled" data-level="7.8.13" id="api-mlgraphbuilder-logical">
      <li data-md>
       <p>Let <var>descriptor</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor②③">MLOperandDescriptor</a></code>.</p>
      <li data-md>
-      <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①①">dataType</a></code> to <code class="idl"><a data-link-type="idl" href="#dom-mloperanddatatype-uint8" id="ref-for-dom-mloperanddatatype-uint8①">"uint8"</a></code>.</p>
+      <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①②">dataType</a></code> to <code class="idl"><a data-link-type="idl" href="#dom-mloperanddatatype-uint8" id="ref-for-dom-mloperanddatatype-uint8①">"uint8"</a></code>.</p>
      <li data-md>
-      <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①④">dimensions</a></code> to the result of <a data-link-type="dfn" href="#bidirectionally-broadcasting-the-shapes" id="ref-for-bidirectionally-broadcasting-the-shapes①">bidirectionally broadcasting the shapes</a> <var>a</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape②②">shape</a> and <var>b</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape②③">shape</a>.</p>
+      <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⑤">dimensions</a></code> to the result of <a data-link-type="dfn" href="#bidirectionally-broadcasting-the-shapes" id="ref-for-bidirectionally-broadcasting-the-shapes①">bidirectionally broadcasting the shapes</a> <var>a</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape②②">shape</a> and <var>b</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape②③">shape</a>.</p>
       <ol>
        <li data-md>
         <p>If that returns failure, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑧④">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror⑦④">TypeError</a></code>.</p>
@@ -3990,7 +4001,7 @@ <h4 class="heading settled" data-level="7.8.14" id="api-mlgraphbuilder-unary"><s
    <h4 class="heading settled" data-level="7.8.15" id="api-mlgraphbuilder-elu"><span class="secno">7.8.15. </span><span class="content">elu</span><a class="self-link" href="#api-mlgraphbuilder-elu"></a></h4>
     Calculate the <a href="https://en.wikipedia.org/wiki/Rectifier_(neural_networks)#ELU"> exponential linear unit function</a> (ELU) on the input tensor element-wise. The calculation follows the expression <code>max(0, x) + alpha * (exp(min(0, x)) - 1)</code>. 
 <pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mleluoptions"><code><c- g>MLEluOptions</c-></code></dfn> {
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①②"><c- b>float</c-></a> <dfn class="idl-code" data-default="1" data-dfn-for="MLEluOptions" data-dfn-type="dict-member" data-export data-type="float " id="dom-mleluoptions-alpha"><code><c- g>alpha</c-></code><a class="self-link" href="#dom-mleluoptions-alpha"></a></dfn> = 1;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①⓪"><c- b>float</c-></a> <a class="idl-code" data-default="1" data-link-type="dict-member" data-type="float " href="#dom-mleluoptions-alpha" id="ref-for-dom-mleluoptions-alpha"><c- g>alpha</c-></a> = 1;
 };
 
 <c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder③①"><c- g>MLGraphBuilder</c-></a> {
@@ -3998,6 +4009,12 @@ <h4 class="heading settled" data-level="7.8.15" id="api-mlgraphbuilder-elu"><spa
   <a data-link-type="idl-name" href="#mlactivation" id="ref-for-mlactivation②⓪"><c- n>MLActivation</c-></a> <a class="idl-code" data-link-type="method" href="#dom-mlgraphbuilder-elu-options" id="ref-for-dom-mlgraphbuilder-elu-options"><c- g>elu</c-></a>(<c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mleluoptions" id="ref-for-dictdef-mleluoptions①"><c- n>MLEluOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/elu(options), MLGraphBuilder/elu()" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-elu-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-elu-options-options"></a></dfn> = {});
 };
 </pre>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mleluoptions" id="ref-for-dictdef-mleluoptions②">MLEluOptions</a></code> has the following members:</p>
+   <dl>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLEluOptions" data-dfn-type="dict-member" data-export id="dom-mleluoptions-alpha"><code>alpha</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①①">float</a>, defaulting to <code>1</code></span>
+    <dd data-md>
+     <p>A scalar multiplier.</p>
+   </dl>
    <div class="note" role="note">
     <details open>
      <summary> The behavior of this operation can be generically emulated from the usage of
@@ -4021,11 +4038,7 @@ <h5 class="heading settled" data-level="7.8.15.1" id="api-mlgraphbuilder-elu-inp
      <li data-md>
       <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑦⑥">MLOperand</a></code>. The input tensor.</p>
      <li data-md>
-      <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mleluoptions" id="ref-for-dictdef-mleluoptions②">MLEluOptions</a></code>. The optional parameters of the operation.</p>
-      <ul>
-       <li data-md>
-        <p><em>alpha</em>: a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①③">float</a></code> scalar multiplier, default to 1.</p>
-      </ul>
+      <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mleluoptions" id="ref-for-dictdef-mleluoptions③">MLEluOptions</a></code>. The optional parameters of the operation.</p>
     </ul>
     <p><strong>Returns:</strong></p>
     <ul>
@@ -4061,11 +4074,7 @@ <h5 class="heading settled" data-level="7.8.15.2" id="api-mlgraphbuilder-elu-opt
      <strong>Arguments:</strong> 
     <ul>
      <li data-md>
-      <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mleluoptions" id="ref-for-dictdef-mleluoptions③">MLEluOptions</a></code>. The optional parameters of the operation.</p>
-      <ul>
-       <li data-md>
-        <p><em>alpha</em>: a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①④">float</a></code> scalar multiplier, default to 1.</p>
-      </ul>
+      <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mleluoptions" id="ref-for-dictdef-mleluoptions④">MLEluOptions</a></code>. The optional parameters of the operation.</p>
     </ul>
     <p><strong>Returns:</strong></p>
     <ul>
@@ -4106,9 +4115,9 @@ <h4 class="heading settled" data-level="7.8.16" id="api-mlgraphbuilder-expand"><
      <li data-md>
       <p>Let <var>outputDescriptor</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor②④">MLOperandDescriptor</a></code>.</p>
      <li data-md>
-      <p>Set <var>outputDescriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①②">dataType</a></code> to <var>input</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype②⓪">dataType</a>.</p>
+      <p>Set <var>outputDescriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①③">dataType</a></code> to <var>input</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype②⓪">dataType</a>.</p>
      <li data-md>
-      <p>Set <var>outputDescriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⑤">dimensions</a></code> to the result of <a data-link-type="dfn" href="#unidirectionally-broadcasting-the-shapes" id="ref-for-unidirectionally-broadcasting-the-shapes">unidirectionally broadcasting the shapes</a> <var>input</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape②④">shape</a> and <var>newShape</var>.</p>
+      <p>Set <var>outputDescriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⑥">dimensions</a></code> to the result of <a data-link-type="dfn" href="#unidirectionally-broadcasting-the-shapes" id="ref-for-unidirectionally-broadcasting-the-shapes">unidirectionally broadcasting the shapes</a> <var>input</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape②④">shape</a> and <var>newShape</var>.</p>
       <ol>
        <li data-md>
         <p>If that returns failure, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw①②⑥">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror⑦⑧">TypeError</a></code>.</p>
@@ -4229,9 +4238,9 @@ <h4 class="heading settled" data-level="7.8.17" id="api-mlgraphbuilder-gather"><
      <li data-md>
       <p>Let <var>desc</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor②⑤">MLOperandDescriptor</a></code>.</p>
      <li data-md>
-      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⑥">dimensions</a></code> to <var>shapeOutput</var>.</p>
+      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⑦">dimensions</a></code> to <var>shapeOutput</var>.</p>
      <li data-md>
-      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①③">dataType</a></code> to <var>input</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype②②">dataType</a>.</p>
+      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①④">dataType</a></code> to <var>input</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype②②">dataType</a>.</p>
      <li data-md>
       <p><em>Make graph connections:</em></p>
       <ol>
@@ -4306,8 +4315,8 @@ <h4 class="heading settled" data-level="7.8.18" id="api-mlgraphbuilder-gemm"><sp
     Calculate the <a href="https://en.wikipedia.org/wiki/Basic_Linear_Algebra_Subprograms#Level_3">general matrix multiplication of the Basic Linear Algebra Subprograms</a>. The calculation follows the expression <code>alpha * A * B + beta * C</code>, where <code>A</code> is a 2-D tensor with shape [M, K] or [K, M], <code>B</code> is a 2-D tensor with shape [K, N] or [N, K], and <code>C</code> is <a data-link-type="dfn" href="#unidirectionally-broadcastable" id="ref-for-unidirectionally-broadcastable">unidirectionally broadcastable</a> to the shape [M, N]. <code>A</code> and <code>B</code> may optionally be transposed prior to the calculation. 
 <pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlgemmoptions"><code><c- g>MLGemmOptions</c-></code></dfn> {
   <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑧⑧"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlgemmoptions-c" id="ref-for-dom-mlgemmoptions-c"><c- g>c</c-></a>;
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①⑤"><c- b>float</c-></a> <a class="idl-code" data-default="1.0" data-link-type="dict-member" data-type="float " href="#dom-mlgemmoptions-alpha" id="ref-for-dom-mlgemmoptions-alpha"><c- g>alpha</c-></a> = 1.0;
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①⑥"><c- b>float</c-></a> <a class="idl-code" data-default="1.0" data-link-type="dict-member" data-type="float " href="#dom-mlgemmoptions-beta" id="ref-for-dom-mlgemmoptions-beta"><c- g>beta</c-></a> = 1.0;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①②"><c- b>float</c-></a> <a class="idl-code" data-default="1.0" data-link-type="dict-member" data-type="float " href="#dom-mlgemmoptions-alpha" id="ref-for-dom-mlgemmoptions-alpha"><c- g>alpha</c-></a> = 1.0;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①③"><c- b>float</c-></a> <a class="idl-code" data-default="1.0" data-link-type="dict-member" data-type="float " href="#dom-mlgemmoptions-beta" id="ref-for-dom-mlgemmoptions-beta"><c- g>beta</c-></a> = 1.0;
   <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean⑥"><c- b>boolean</c-></a> <a class="idl-code" data-default="false" data-link-type="dict-member" data-type="boolean " href="#dom-mlgemmoptions-atranspose" id="ref-for-dom-mlgemmoptions-atranspose"><c- g>aTranspose</c-></a> = <c- b>false</c->;
   <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean⑦"><c- b>boolean</c-></a> <a class="idl-code" data-default="false" data-link-type="dict-member" data-type="boolean " href="#dom-mlgemmoptions-btranspose" id="ref-for-dom-mlgemmoptions-btranspose"><c- g>bTranspose</c-></a> = <c- b>false</c->;
 };
@@ -4321,10 +4330,10 @@ <h4 class="heading settled" data-level="7.8.18" id="api-mlgraphbuilder-gemm"><sp
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGemmOptions" data-dfn-type="dict-member" data-export id="dom-mlgemmoptions-c"><code>c</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⑨②">MLOperand</a></span>
     <dd data-md>
      <p>The third input tensor. It is either a scalar, or of the shape that is <a data-link-type="dfn" href="#unidirectionally-broadcastable" id="ref-for-unidirectionally-broadcastable①">unidirectionally broadcastable</a> to the shape [M, N]. When it is not specified, the computation is done as if <em>c</em> is a scalar 0.0.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGemmOptions" data-dfn-type="dict-member" data-export id="dom-mlgemmoptions-alpha"><code>alpha</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①⑦">float</a>, defaulting to <code>1.0</code></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGemmOptions" data-dfn-type="dict-member" data-export id="dom-mlgemmoptions-alpha"><code>alpha</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①④">float</a>, defaulting to <code>1.0</code></span>
     <dd data-md>
      <p>A multiplier for the first input.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGemmOptions" data-dfn-type="dict-member" data-export id="dom-mlgemmoptions-beta"><code>beta</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①⑧">float</a>, defaulting to <code>1.0</code></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGemmOptions" data-dfn-type="dict-member" data-export id="dom-mlgemmoptions-beta"><code>beta</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①⑤">float</a>, defaulting to <code>1.0</code></span>
     <dd data-md>
      <p>A multiplier for the third input <code class="idl"><a data-link-type="idl" href="#dom-mlgemmoptions-c" id="ref-for-dom-mlgemmoptions-c①">c</a></code>.</p>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGemmOptions" data-dfn-type="dict-member" data-export id="dom-mlgemmoptions-atranspose"><code>aTranspose</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean⑧">boolean</a>, defaulting to <code>false</code></span>
@@ -4373,9 +4382,9 @@ <h4 class="heading settled" data-level="7.8.18" id="api-mlgraphbuilder-gemm"><sp
      <li data-md>
       <p>Let <var>desc</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor②⑥">MLOperandDescriptor</a></code>.</p>
      <li data-md>
-      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⑦">dimensions</a></code> to the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list" id="ref-for-list①⑧">list</a> « <var>shapeA</var>[0], <var>shapeB</var>[1] ».</p>
+      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⑧">dimensions</a></code> to the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list" id="ref-for-list①⑧">list</a> « <var>shapeA</var>[0], <var>shapeB</var>[1] ».</p>
      <li data-md>
-      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①④">dataType</a></code> to <var>a</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype②③">dataType</a>.</p>
+      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①⑤">dataType</a></code> to <var>a</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype②③">dataType</a>.</p>
      <li data-md>
       <p><em>Make graph connections:</em></p>
       <ol>
@@ -4526,18 +4535,18 @@ <h4 class="heading settled" data-level="7.8.19" id="api-mlgraphbuilder-gru"><spa
        <li data-md>
         <p>Let <var>desc0</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor②⑦">MLOperandDescriptor</a></code>.</p>
        <li data-md>
-        <p>Set <var>desc0</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⑧">dimensions</a></code> to the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list" id="ref-for-list①⑨">list</a> « <var>numDirections</var>, <var>batchSize</var>, <var>hiddenSize</var> ».</p>
+        <p>Set <var>desc0</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⑨">dimensions</a></code> to the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list" id="ref-for-list①⑨">list</a> « <var>numDirections</var>, <var>batchSize</var>, <var>hiddenSize</var> ».</p>
        <li data-md>
-        <p>Set <var>desc0</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①⑤">dataType</a></code> to <var>input</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype②④">dataType</a>.</p>
+        <p>Set <var>desc0</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①⑥">dataType</a></code> to <var>input</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype②④">dataType</a>.</p>
        <li data-md>
         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-returnsequence" id="ref-for-dom-mlgruoptions-returnsequence②">returnSequence</a></code> is true:</p>
         <ol>
          <li data-md>
           <p>Let <var>desc1</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor②⑧">MLOperandDescriptor</a></code>.</p>
          <li data-md>
-          <p>Set <var>desc1</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①⑥">dataType</a></code> to <var>input</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype②⑤">dataType</a>.</p>
+          <p>Set <var>desc1</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①⑦">dataType</a></code> to <var>input</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype②⑤">dataType</a>.</p>
          <li data-md>
-          <p>Set <var>desc1</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions①⑨">dimensions</a></code> to the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list" id="ref-for-list②⓪">list</a> « <var>steps</var>, <var>numDirections</var>, <var>batchSize</var>, <var>hiddenSize</var> ».</p>
+          <p>Set <var>desc1</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②⓪">dimensions</a></code> to the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list" id="ref-for-list②⓪">list</a> « <var>steps</var>, <var>numDirections</var>, <var>batchSize</var>, <var>hiddenSize</var> ».</p>
         </ol>
       </ol>
      <li data-md>
@@ -4732,9 +4741,9 @@ <h4 class="heading settled" data-level="7.8.20" id="api-mlgraphbuilder-grucell">
      <li data-md>
       <p>Let <var>desc</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor②⑨">MLOperandDescriptor</a></code>.</p>
      <li data-md>
-      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②⓪">dimensions</a></code> to the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list" id="ref-for-list②③">list</a> « <var>input</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape③⑤">shape</a>[0], <var>hiddenSize</var> ».</p>
+      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②①">dimensions</a></code> to the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list" id="ref-for-list②③">list</a> « <var>input</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape③⑤">shape</a>[0], <var>hiddenSize</var> ».</p>
      <li data-md>
-      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①⑦">dataType</a></code> to <var>input</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype②⑥">dataType</a>.</p>
+      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①⑧">dataType</a></code> to <var>input</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype②⑥">dataType</a>.</p>
      <li data-md>
       <p><em>Make graph connections:</em></p>
       <ol>
@@ -4859,8 +4868,8 @@ <h4 class="heading settled" data-level="7.8.20" id="api-mlgraphbuilder-grucell">
    <h4 class="heading settled" data-level="7.8.21" id="api-mlgraphbuilder-hard-sigmoid"><span class="secno">7.8.21. </span><span class="content">hardSigmoid</span><a class="self-link" href="#api-mlgraphbuilder-hard-sigmoid"></a></h4>
     Calculate the non-smooth <a href="https://en.wikipedia.org/wiki/Hard_sigmoid">hard sigmoid function</a> on the input tensor, used instead of the sigmoid function for faster computation. 
 <pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlhardsigmoidoptions"><code><c- g>MLHardSigmoidOptions</c-></code></dfn> {
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①⑨"><c- b>float</c-></a> <a class="idl-code" data-default="0.2" data-link-type="dict-member" data-type="float " href="#dom-mlhardsigmoidoptions-alpha" id="ref-for-dom-mlhardsigmoidoptions-alpha"><c- g>alpha</c-></a> = 0.2;
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②⓪"><c- b>float</c-></a> <a class="idl-code" data-default="0.5" data-link-type="dict-member" data-type="float " href="#dom-mlhardsigmoidoptions-beta" id="ref-for-dom-mlhardsigmoidoptions-beta"><c- g>beta</c-></a> = 0.5;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①⑥"><c- b>float</c-></a> <a class="idl-code" data-default="0.2" data-link-type="dict-member" data-type="float " href="#dom-mlhardsigmoidoptions-alpha" id="ref-for-dom-mlhardsigmoidoptions-alpha"><c- g>alpha</c-></a> = 0.2;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①⑦"><c- b>float</c-></a> <a class="idl-code" data-default="0.5" data-link-type="dict-member" data-type="float " href="#dom-mlhardsigmoidoptions-beta" id="ref-for-dom-mlhardsigmoidoptions-beta"><c- g>beta</c-></a> = 0.5;
 };
 
 <c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder③⑦"><c- g>MLGraphBuilder</c-></a> {
@@ -4886,10 +4895,10 @@ <h4 class="heading settled" data-level="7.8.21" id="api-mlgraphbuilder-hard-sigm
    </div>
    <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlhardsigmoidoptions" id="ref-for-dictdef-mlhardsigmoidoptions②">MLHardSigmoidOptions</a></code> has the following members:</p>
    <dl>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLHardSigmoidOptions" data-dfn-type="dict-member" data-export id="dom-mlhardsigmoidoptions-alpha"><code>alpha</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②①">float</a>, defaulting to <code>0.2</code></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLHardSigmoidOptions" data-dfn-type="dict-member" data-export id="dom-mlhardsigmoidoptions-alpha"><code>alpha</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①⑧">float</a>, defaulting to <code>0.2</code></span>
     <dd data-md>
      <p>A scalar multiplier.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLHardSigmoidOptions" data-dfn-type="dict-member" data-export id="dom-mlhardsigmoidoptions-beta"><code>beta</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②②">float</a>, defaulting to <code>0.5</code></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLHardSigmoidOptions" data-dfn-type="dict-member" data-export id="dom-mlhardsigmoidoptions-beta"><code>beta</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float①⑨">float</a>, defaulting to <code>0.5</code></span>
     <dd data-md>
      <p>A scalar addition.</p>
    </dl>
@@ -5041,7 +5050,7 @@ <h4 class="heading settled" data-level="7.8.23" id="api-mlgraphbuilder-instancen
 <pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlinstancenormalizationoptions"><code><c- g>MLInstanceNormalizationOptions</c-></code></dfn> {
   <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②③②"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlinstancenormalizationoptions-scale" id="ref-for-dom-mlinstancenormalizationoptions-scale"><c- g>scale</c-></a>;
   <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②③③"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mlinstancenormalizationoptions-bias" id="ref-for-dom-mlinstancenormalizationoptions-bias"><c- g>bias</c-></a>;
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②③"><c- b>float</c-></a> <a class="idl-code" data-default="1e-5" data-link-type="dict-member" data-type="float " href="#dom-mlinstancenormalizationoptions-epsilon" id="ref-for-dom-mlinstancenormalizationoptions-epsilon"><c- g>epsilon</c-></a> = 1e-5;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②⓪"><c- b>float</c-></a> <a class="idl-code" data-default="1e-5" data-link-type="dict-member" data-type="float " href="#dom-mlinstancenormalizationoptions-epsilon" id="ref-for-dom-mlinstancenormalizationoptions-epsilon"><c- g>epsilon</c-></a> = 1e-5;
   <a data-link-type="idl-name" href="#enumdef-mlinputoperandlayout" id="ref-for-enumdef-mlinputoperandlayout④"><c- n>MLInputOperandLayout</c-></a> <a class="idl-code" data-default="&quot;nchw&quot;" data-link-type="dict-member" data-type="MLInputOperandLayout " href="#dom-mlinstancenormalizationoptions-layout" id="ref-for-dom-mlinstancenormalizationoptions-layout"><c- g>layout</c-></a> = "nchw";
 };
 
@@ -5058,7 +5067,7 @@ <h4 class="heading settled" data-level="7.8.23" id="api-mlgraphbuilder-instancen
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLInstanceNormalizationOptions" data-dfn-type="dict-member" data-export id="dom-mlinstancenormalizationoptions-bias"><code>bias</code></dfn>, <span> of type <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②③⑦">MLOperand</a></span>
     <dd data-md>
      <p>The 1-D tensor of the bias values whose <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size②④">size</a> is equal to the size of the feature dimension of the input. For example, for an <var>input</var> tensor with <code class="idl"><a data-link-type="idl" href="#dom-mlinputoperandlayout-nchw" id="ref-for-dom-mlinputoperandlayout-nchw⑨">"nchw"</a></code> layout, the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size②⑤">size</a> is equal to <var>input</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape③⑦">shape</a>[1].</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLInstanceNormalizationOptions" data-dfn-type="dict-member" data-export id="dom-mlinstancenormalizationoptions-epsilon"><code>epsilon</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②④">float</a>, defaulting to <code>1e-5</code></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLInstanceNormalizationOptions" data-dfn-type="dict-member" data-export id="dom-mlinstancenormalizationoptions-epsilon"><code>epsilon</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②①">float</a>, defaulting to <code>1e-5</code></span>
     <dd data-md>
      <p>A small value to prevent computational error due to divide-by-zero.</p>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLInstanceNormalizationOptions" data-dfn-type="dict-member" data-export id="dom-mlinstancenormalizationoptions-layout"><code>layout</code></dfn>, <span> of type <a data-link-type="idl-name" href="#enumdef-mlinputoperandlayout" id="ref-for-enumdef-mlinputoperandlayout⑤">MLInputOperandLayout</a>, defaulting to <code>"nchw"</code></span>
@@ -5146,7 +5155,7 @@ <h4 class="heading settled" data-level="7.8.24" id="api-mlgraphbuilder-layernorm
   <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②④⓪"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mllayernormalizationoptions-scale" id="ref-for-dom-mllayernormalizationoptions-scale"><c- g>scale</c-></a>;
   <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②④①"><c- n>MLOperand</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperand " href="#dom-mllayernormalizationoptions-bias" id="ref-for-dom-mllayernormalizationoptions-bias"><c- g>bias</c-></a>;
   <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①⑥"><c- b>sequence</c-></a>&lt;[<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#EnforceRange" id="ref-for-EnforceRange①⑨"><c- g>EnforceRange</c-></a>] <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③⓪"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<[EnforceRange] unsigned long> " href="#dom-mllayernormalizationoptions-axes" id="ref-for-dom-mllayernormalizationoptions-axes"><c- g>axes</c-></a>;
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②⑤"><c- b>float</c-></a> <a class="idl-code" data-default="1e-5" data-link-type="dict-member" data-type="float " href="#dom-mllayernormalizationoptions-epsilon" id="ref-for-dom-mllayernormalizationoptions-epsilon"><c- g>epsilon</c-></a> = 1e-5;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②②"><c- b>float</c-></a> <a class="idl-code" data-default="1e-5" data-link-type="dict-member" data-type="float " href="#dom-mllayernormalizationoptions-epsilon" id="ref-for-dom-mllayernormalizationoptions-epsilon"><c- g>epsilon</c-></a> = 1e-5;
 };
 
 <c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder④⓪"><c- g>MLGraphBuilder</c-></a> {
@@ -5165,7 +5174,7 @@ <h4 class="heading settled" data-level="7.8.24" id="api-mlgraphbuilder-layernorm
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLayerNormalizationOptions" data-dfn-type="dict-member" data-export id="dom-mllayernormalizationoptions-axes"><code>axes</code></dfn>, <span> of type <code class="idl-code">sequence&lt;[EnforceRange] unsigned long></code></span>
     <dd data-md>
      <p>The indices to the input dimensions to reduce. When this member is not present, it is treated as if all dimensions except the first were given (e.g. for a 4-D input tensor, axes = [1,2,3]). That is, the reduction for the mean and variance values are calculated across all the input features for each independent batch. If empty, no dimensions are reduced.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLayerNormalizationOptions" data-dfn-type="dict-member" data-export id="dom-mllayernormalizationoptions-epsilon"><code>epsilon</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②⑥">float</a>, defaulting to <code>1e-5</code></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLayerNormalizationOptions" data-dfn-type="dict-member" data-export id="dom-mllayernormalizationoptions-epsilon"><code>epsilon</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②③">float</a>, defaulting to <code>1e-5</code></span>
     <dd data-md>
      <p>A small value to prevent computational error due to divide-by-zero.</p>
    </dl>
@@ -5260,7 +5269,7 @@ <h4 class="heading settled" data-level="7.8.24" id="api-mlgraphbuilder-layernorm
    <h4 class="heading settled" data-level="7.8.25" id="api-mlgraphbuilder-leakyrelu"><span class="secno">7.8.25. </span><span class="content">leakyRelu</span><a class="self-link" href="#api-mlgraphbuilder-leakyrelu"></a></h4>
     Calculate the <a href="https://en.wikipedia.org/wiki/Rectifier_(neural_networks)#Leaky_ReLU"> leaky version of rectified linear function</a> on the input tensor element-wise. The calculation follows the expression <code>max(0, x) + alpha * min(0, x)</code>. 
 <pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlleakyreluoptions"><code><c- g>MLLeakyReluOptions</c-></code></dfn> {
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②⑦"><c- b>float</c-></a> <a class="idl-code" data-default="0.01" data-link-type="dict-member" data-type="float " href="#dom-mlleakyreluoptions-alpha" id="ref-for-dom-mlleakyreluoptions-alpha"><c- g>alpha</c-></a> = 0.01;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②④"><c- b>float</c-></a> <a class="idl-code" data-default="0.01" data-link-type="dict-member" data-type="float " href="#dom-mlleakyreluoptions-alpha" id="ref-for-dom-mlleakyreluoptions-alpha"><c- g>alpha</c-></a> = 0.01;
 };
 
 <c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder④①"><c- g>MLGraphBuilder</c-></a> {
@@ -5281,7 +5290,7 @@ <h4 class="heading settled" data-level="7.8.25" id="api-mlgraphbuilder-leakyrelu
    </div>
    <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlleakyreluoptions" id="ref-for-dictdef-mlleakyreluoptions②">MLLeakyReluOptions</a></code> has the following members:</p>
    <dl>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLeakyReluOptions" data-dfn-type="dict-member" data-export id="dom-mlleakyreluoptions-alpha"><code>alpha</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②⑧">float</a>, defaulting to <code>0.01</code></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLeakyReluOptions" data-dfn-type="dict-member" data-export id="dom-mlleakyreluoptions-alpha"><code>alpha</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②⑤">float</a>, defaulting to <code>0.01</code></span>
     <dd data-md>
      <p>A scalar multiplier.</p>
    </dl>
@@ -5348,8 +5357,8 @@ <h5 class="heading settled" data-level="7.8.25.2" id="api-mlgraphbuilder-leaky-r
    <h4 class="heading settled" data-level="7.8.26" id="api-mlgraphbuilder-linear"><span class="secno">7.8.26. </span><span class="content">linear</span><a class="self-link" href="#api-mlgraphbuilder-linear"></a></h4>
     Calculate a linear function <code>y = alpha * x + beta</code> on the input tensor. 
 <pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mllinearoptions"><code><c- g>MLLinearOptions</c-></code></dfn> {
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②⑨"><c- b>float</c-></a> <a class="idl-code" data-default="1" data-link-type="dict-member" data-type="float " href="#dom-mllinearoptions-alpha" id="ref-for-dom-mllinearoptions-alpha"><c- g>alpha</c-></a> = 1;
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③⓪"><c- b>float</c-></a> <a class="idl-code" data-default="0" data-link-type="dict-member" data-type="float " href="#dom-mllinearoptions-beta" id="ref-for-dom-mllinearoptions-beta"><c- g>beta</c-></a> = 0;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②⑥"><c- b>float</c-></a> <a class="idl-code" data-default="1" data-link-type="dict-member" data-type="float " href="#dom-mllinearoptions-alpha" id="ref-for-dom-mllinearoptions-alpha"><c- g>alpha</c-></a> = 1;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②⑦"><c- b>float</c-></a> <a class="idl-code" data-default="0" data-link-type="dict-member" data-type="float " href="#dom-mllinearoptions-beta" id="ref-for-dom-mllinearoptions-beta"><c- g>beta</c-></a> = 0;
 };
 
 <c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder④②"><c- g>MLGraphBuilder</c-></a> {
@@ -5371,10 +5380,10 @@ <h4 class="heading settled" data-level="7.8.26" id="api-mlgraphbuilder-linear"><
    </div>
    <p><code class="idl"><a data-link-type="idl" href="#dictdef-mllinearoptions" id="ref-for-dictdef-mllinearoptions②">MLLinearOptions</a></code> has the following members:</p>
    <dl>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLinearOptions" data-dfn-type="dict-member" data-export id="dom-mllinearoptions-alpha"><code>alpha</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③①">float</a>, defaulting to <code>1</code></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLinearOptions" data-dfn-type="dict-member" data-export id="dom-mllinearoptions-alpha"><code>alpha</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②⑧">float</a>, defaulting to <code>1</code></span>
     <dd data-md>
      <p>A scalar multiplier.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLinearOptions" data-dfn-type="dict-member" data-export id="dom-mllinearoptions-beta"><code>beta</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③②">float</a>, defaulting to <code>0</code></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLinearOptions" data-dfn-type="dict-member" data-export id="dom-mllinearoptions-beta"><code>beta</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②⑨">float</a>, defaulting to <code>0</code></span>
     <dd data-md>
      <p>A scalar addition.</p>
    </dl>
@@ -5595,18 +5604,18 @@ <h4 class="heading settled" data-level="7.8.27" id="api-mlgraphbuilder-lstm"><sp
        <li data-md>
         <p>Let <var>desc</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor③⓪">MLOperandDescriptor</a></code>.</p>
        <li data-md>
-        <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②①">dimensions</a></code> to the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list" id="ref-for-list②⑥">list</a> « <var>numDirections</var>, <var>batchSize</var>, <var>hiddenSize</var> ».</p>
+        <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②②">dimensions</a></code> to the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list" id="ref-for-list②⑥">list</a> « <var>numDirections</var>, <var>batchSize</var>, <var>hiddenSize</var> ».</p>
        <li data-md>
-        <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①⑧">dataType</a></code> to <var>input</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype②⑦">dataType</a>.</p>
+        <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①⑨">dataType</a></code> to <var>input</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype②⑦">dataType</a>.</p>
        <li data-md>
         <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-returnsequence" id="ref-for-dom-mllstmoptions-returnsequence②">returnSequence</a></code> is true:</p>
         <ol>
          <li data-md>
           <p>Let <var>desc2</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor③①">MLOperandDescriptor</a></code>.</p>
          <li data-md>
-          <p>Set <var>desc2</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype①⑨">dataType</a></code> to <var>input</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype②⑧">dataType</a>.</p>
+          <p>Set <var>desc2</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②⓪">dataType</a></code> to <var>input</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype②⑧">dataType</a>.</p>
          <li data-md>
-          <p>Set <var>desc2</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②②">dimensions</a></code> to the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list" id="ref-for-list②⑦">list</a> « <var>steps</var>, <var>numDirections</var>, <var>batchSize</var>, <var>hiddenSize</var> ».</p>
+          <p>Set <var>desc2</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②③">dimensions</a></code> to the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list" id="ref-for-list②⑦">list</a> « <var>steps</var>, <var>numDirections</var>, <var>batchSize</var>, <var>hiddenSize</var> ».</p>
         </ol>
       </ol>
      <li data-md>
@@ -5838,9 +5847,9 @@ <h4 class="heading settled" data-level="7.8.28" id="api-mlgraphbuilder-lstmcell"
      <li data-md>
       <p>Let <var>desc</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor③②">MLOperandDescriptor</a></code>.</p>
      <li data-md>
-      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②③">dimensions</a></code> to the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list" id="ref-for-list③⓪">list</a> « <var>batchSize</var>, <var>hiddenSize</var> ».</p>
+      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②④">dimensions</a></code> to the <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list" id="ref-for-list③⓪">list</a> « <var>batchSize</var>, <var>hiddenSize</var> ».</p>
      <li data-md>
-      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②⓪">dataType</a></code> to <var>input</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype②⑨">dataType</a>.</p>
+      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②①">dataType</a></code> to <var>input</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype②⑨">dataType</a>.</p>
      <li data-md>
       <p><em>Make graph connections:</em></p>
       <ol>
@@ -6052,11 +6061,11 @@ <h4 class="heading settled" data-level="7.8.29" id="api-mlgraphbuilder-matmul"><
      <li data-md>
       <p>Let <var>desc</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor③③">MLOperandDescriptor</a></code>.</p>
      <li data-md>
-      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②④">dimensions</a></code> to the result of <a data-link-type="dfn" href="#mlgraphbuilder-calculate-matmul-output-sizes" id="ref-for-mlgraphbuilder-calculate-matmul-output-sizes">calculating matmul output sizes</a> given <var>a</var> and <var>b</var>.</p>
+      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②⑤">dimensions</a></code> to the result of <a data-link-type="dfn" href="#mlgraphbuilder-calculate-matmul-output-sizes" id="ref-for-mlgraphbuilder-calculate-matmul-output-sizes">calculating matmul output sizes</a> given <var>a</var> and <var>b</var>.</p>
      <li data-md>
       <p>If that throws an error, re-<a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⓪①">throw</a> the error.</p>
      <li data-md>
-      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②①">dataType</a></code> to <var>a</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype③⓪">dataType</a>.</p>
+      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②②">dataType</a></code> to <var>a</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype③⓪">dataType</a>.</p>
      <li data-md>
       <p><em>Make graph connections:</em></p>
       <ol>
@@ -6086,7 +6095,7 @@ <h4 class="heading settled" data-level="7.8.30" id="api-mlgraphbuilder-pad"><spa
 
 <c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlpadoptions"><code><c- g>MLPadOptions</c-></code></dfn> {
   <a data-link-type="idl-name" href="#enumdef-mlpaddingmode" id="ref-for-enumdef-mlpaddingmode"><c- n>MLPaddingMode</c-></a> <a class="idl-code" data-default="&quot;constant&quot;" data-link-type="dict-member" data-type="MLPaddingMode " href="#dom-mlpadoptions-mode" id="ref-for-dom-mlpadoptions-mode"><c- g>mode</c-></a> = "constant";
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③③"><c- b>float</c-></a> <a class="idl-code" data-default="0" data-link-type="dict-member" data-type="float " href="#dom-mlpadoptions-value" id="ref-for-dom-mlpadoptions-value"><c- g>value</c-></a> = 0;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③⓪"><c- b>float</c-></a> <a class="idl-code" data-default="0" data-link-type="dict-member" data-type="float " href="#dom-mlpadoptions-value" id="ref-for-dom-mlpadoptions-value"><c- g>value</c-></a> = 0;
 };
 
 <c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder④⑥"><c- g>MLGraphBuilder</c-></a> {
@@ -6101,7 +6110,7 @@ <h4 class="heading settled" data-level="7.8.30" id="api-mlgraphbuilder-pad"><spa
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLPadOptions" data-dfn-type="dict-member" data-export id="dom-mlpadoptions-mode"><code>mode</code></dfn>, <span> of type <a data-link-type="idl-name" href="#enumdef-mlpaddingmode" id="ref-for-enumdef-mlpaddingmode①">MLPaddingMode</a>, defaulting to <code>"constant"</code></span>
     <dd data-md>
      <p>The different ways to pad the tensor.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLPadOptions" data-dfn-type="dict-member" data-export id="dom-mlpadoptions-value"><code>value</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③④">float</a>, defaulting to <code>0</code></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLPadOptions" data-dfn-type="dict-member" data-export id="dom-mlpadoptions-value"><code>value</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③①">float</a>, defaulting to <code>0</code></span>
     <dd data-md>
      <p>The padding value when <code class="idl"><a data-link-type="idl" href="#dom-mlpadoptions-mode" id="ref-for-dom-mlpadoptions-mode①">mode</a></code> is set to <code class="idl"><a data-link-type="idl" href="#dom-mlpaddingmode-constant" id="ref-for-dom-mlpaddingmode-constant">"constant"</a></code>.</p>
    </dl>
@@ -6147,7 +6156,7 @@ <h4 class="heading settled" data-level="7.8.30" id="api-mlgraphbuilder-pad"><spa
      <li data-md>
       <p>Let <var>desc</var> be a copy of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot⑧">[[descriptor]]</a></code>.</p>
      <li data-md>
-      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②⑤">dimensions</a></code> to the result of <a data-link-type="dfn" href="#mlgraphbuilder-calculate-padding-output-sizes" id="ref-for-mlgraphbuilder-calculate-padding-output-sizes">calculating padding output sizes</a> given <var>input</var>, <var>beginningPadding</var> and <var>endingPadding</var>.</p>
+      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②⑥">dimensions</a></code> to the result of <a data-link-type="dfn" href="#mlgraphbuilder-calculate-padding-output-sizes" id="ref-for-mlgraphbuilder-calculate-padding-output-sizes">calculating padding output sizes</a> given <var>input</var>, <var>beginningPadding</var> and <var>endingPadding</var>.</p>
      <li data-md>
       <p><em>Make graph connections:</em></p>
       <ol>
@@ -6427,7 +6436,7 @@ <h4 class="heading settled" data-level="7.8.31" id="api-mlgraphbuilder-pool2d"><
       <p><em>Make graph connections:</em></p>
       <ol>
        <li data-md>
-        <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②⑥">dimensions</a></code> to the result of <a data-link-type="dfn" href="#mlgraphbuilder-calculate-pool2d-output-sizes" id="ref-for-mlgraphbuilder-calculate-pool2d-output-sizes">calculating pool2d output sizes</a> given <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-layout" id="ref-for-dom-mlpool2doptions-layout①">layout</a></code>, <var>input</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape⑥②">shape</a>, <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-roundingtype" id="ref-for-dom-mlpool2doptions-roundingtype②">roundingType</a></code>, <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-windowdimensions" id="ref-for-dom-mlpool2doptions-windowdimensions③">windowDimensions</a></code>, <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-padding" id="ref-for-dom-mlpool2doptions-padding④">padding</a></code>, <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-strides" id="ref-for-dom-mlpool2doptions-strides⑥">strides</a></code>, <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-dilations" id="ref-for-dom-mlpool2doptions-dilations⑤">dilations</a></code>, and <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-outputsizes" id="ref-for-dom-mlpool2doptions-outputsizes⑤">outputSizes</a></code> (if it <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑨⑦">exists</a>).</p>
+        <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②⑦">dimensions</a></code> to the result of <a data-link-type="dfn" href="#mlgraphbuilder-calculate-pool2d-output-sizes" id="ref-for-mlgraphbuilder-calculate-pool2d-output-sizes">calculating pool2d output sizes</a> given <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-layout" id="ref-for-dom-mlpool2doptions-layout①">layout</a></code>, <var>input</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape⑥②">shape</a>, <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-roundingtype" id="ref-for-dom-mlpool2doptions-roundingtype②">roundingType</a></code>, <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-windowdimensions" id="ref-for-dom-mlpool2doptions-windowdimensions③">windowDimensions</a></code>, <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-padding" id="ref-for-dom-mlpool2doptions-padding④">padding</a></code>, <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-strides" id="ref-for-dom-mlpool2doptions-strides⑥">strides</a></code>, <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-dilations" id="ref-for-dom-mlpool2doptions-dilations⑤">dilations</a></code>, and <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlpool2doptions-outputsizes" id="ref-for-dom-mlpool2doptions-outputsizes⑤">outputSizes</a></code> (if it <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists⑨⑦">exists</a>).</p>
        <li data-md>
         <p>Let <var>output</var> be the result of <a data-link-type="dfn" href="#create-an-mloperand" id="ref-for-create-an-mloperand②④">creating an MLOperand</a> given <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#this" id="ref-for-this⑧⑥">this</a> and <var>desc</var>.</p>
        <li data-md>
@@ -6519,9 +6528,9 @@ <h4 class="heading settled" data-level="7.8.32" id="api-mlgraphbuilder-prelu"><s
      <li data-md>
       <p>Let <var>descriptor</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor③④">MLOperandDescriptor</a></code>.</p>
      <li data-md>
-      <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②②">dataType</a></code> to <var>input</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype③①">dataType</a>.</p>
+      <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②③">dataType</a></code> to <var>input</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype③①">dataType</a>.</p>
      <li data-md>
-      <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②⑦">dimensions</a></code> to the result of <a data-link-type="dfn" href="#unidirectionally-broadcasting-the-shapes" id="ref-for-unidirectionally-broadcasting-the-shapes①">unidirectionally broadcasting the shapes</a> <var>slope</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape⑥③">shape</a> and <var>input</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape⑥④">shape</a>.</p>
+      <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②⑧">dimensions</a></code> to the result of <a data-link-type="dfn" href="#unidirectionally-broadcasting-the-shapes" id="ref-for-unidirectionally-broadcasting-the-shapes①">unidirectionally broadcasting the shapes</a> <var>slope</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape⑥③">shape</a> and <var>input</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape⑥④">shape</a>.</p>
       <ol>
        <li data-md>
         <p>If that returns failure, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②②①">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror①⑥⑥">TypeError</a></code>.</p>
@@ -6668,9 +6677,9 @@ <h4 class="heading settled" data-level="7.8.33" id="api-mlgraphbuilder-reduce"><
      <li data-md>
       <p>Let <var>desc</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor③⑤">MLOperandDescriptor</a></code>.</p>
      <li data-md>
-      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②③">dataType</a></code> to <var>input</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype③②">dataType</a>.</p>
+      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②④">dataType</a></code> to <var>input</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype③②">dataType</a>.</p>
      <li data-md>
-      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②⑧">dimensions</a></code> to <var>outputShape</var>.</p>
+      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②⑨">dimensions</a></code> to <var>outputShape</var>.</p>
      <li data-md>
       <p><em>Make graph connections:</em></p>
       <ol>
@@ -6906,7 +6915,7 @@ <h4 class="heading settled" data-level="7.8.35" id="api-mlgraphbuilder-resample2
 
 <c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlresample2doptions"><code><c- g>MLResample2dOptions</c-></code></dfn> {
   <a data-link-type="idl-name" href="#enumdef-mlinterpolationmode" id="ref-for-enumdef-mlinterpolationmode"><c- n>MLInterpolationMode</c-></a> <a class="idl-code" data-default="&quot;nearest-neighbor&quot;" data-link-type="dict-member" data-type="MLInterpolationMode " href="#dom-mlresample2doptions-mode" id="ref-for-dom-mlresample2doptions-mode"><c- g>mode</c-></a> = "nearest-neighbor";
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②⑨"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③⑤"><c- b>float</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<float> " href="#dom-mlresample2doptions-scales" id="ref-for-dom-mlresample2doptions-scales"><c- g>scales</c-></a>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②⑨"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③②"><c- b>float</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<float> " href="#dom-mlresample2doptions-scales" id="ref-for-dom-mlresample2doptions-scales"><c- g>scales</c-></a>;
   <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence③⓪"><c- b>sequence</c-></a>&lt;[<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#EnforceRange" id="ref-for-EnforceRange③①"><c- g>EnforceRange</c-></a>] <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long④⑦"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<[EnforceRange] unsigned long> " href="#dom-mlresample2doptions-sizes" id="ref-for-dom-mlresample2doptions-sizes"><c- g>sizes</c-></a>;
   <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence③①"><c- b>sequence</c-></a>&lt;[<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#EnforceRange" id="ref-for-EnforceRange③②"><c- g>EnforceRange</c-></a>] <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long④⑧"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-link-type="dict-member" data-type="sequence<[EnforceRange] unsigned long> " href="#dom-mlresample2doptions-axes" id="ref-for-dom-mlresample2doptions-axes"><c- g>axes</c-></a>;
 };
@@ -6930,7 +6939,7 @@ <h4 class="heading settled" data-level="7.8.35" id="api-mlgraphbuilder-resample2
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLResample2dOptions" data-dfn-type="dict-member" data-export id="dom-mlresample2doptions-mode"><code>mode</code></dfn>, <span> of type <a data-link-type="idl-name" href="#enumdef-mlinterpolationmode" id="ref-for-enumdef-mlinterpolationmode①">MLInterpolationMode</a>, defaulting to <code>"nearest-neighbor"</code></span>
     <dd data-md>
      <p>The interpolation algorithm used to fill the output tensor values.</p>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLResample2dOptions" data-dfn-type="dict-member" data-export id="dom-mlresample2doptions-scales"><code>scales</code></dfn>, <span> of type sequence&lt;<a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③⑥">float</a>></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLResample2dOptions" data-dfn-type="dict-member" data-export id="dom-mlresample2doptions-scales"><code>scales</code></dfn>, <span> of type sequence&lt;<a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③③">float</a>></span>
     <dd data-md>
      <p>A list of length 2.
 Specifies the scaling factor in each spatial dimensions of the input: <em>[scaleHeight, scaleWidth]</em>.
@@ -6971,9 +6980,9 @@ <h4 class="heading settled" data-level="7.8.35" id="api-mlgraphbuilder-resample2
       <p>For <var>index</var> in <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#the-range" id="ref-for-the-range①①">the range</a> 0 to <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-axes" id="ref-for-dom-mlresample2doptions-axes②">axes</a></code>'s <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#list-size" id="ref-for-list-size④③">size</a>, exclusive:</p>
       <ol>
        <li data-md>
-        <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-sizes" id="ref-for-dom-mlresample2doptions-sizes②">sizes</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists①⓪③">exists</a>, set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions②⑨">dimensions</a></code>[<var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-axes" id="ref-for-dom-mlresample2doptions-axes③">axes</a></code>[<var>index</var>]] to <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-sizes" id="ref-for-dom-mlresample2doptions-sizes③">sizes</a></code>[<var>index</var>].</p>
+        <p>If <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-sizes" id="ref-for-dom-mlresample2doptions-sizes②">sizes</a></code> <a data-link-type="dfn" href="https://infra.spec.whatwg.org/#map-exists" id="ref-for-map-exists①⓪③">exists</a>, set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③⓪">dimensions</a></code>[<var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-axes" id="ref-for-dom-mlresample2doptions-axes③">axes</a></code>[<var>index</var>]] to <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-sizes" id="ref-for-dom-mlresample2doptions-sizes③">sizes</a></code>[<var>index</var>].</p>
        <li data-md>
-        <p>Otherwise, set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③⓪">dimensions</a></code>[<var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-axes" id="ref-for-dom-mlresample2doptions-axes④">axes</a></code>[<var>index</var>]] to floor(<var>input</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape⑥⑥">shape</a>[<var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-axes" id="ref-for-dom-mlresample2doptions-axes⑤">axes</a></code>[<var>index</var>]] * <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-scales" id="ref-for-dom-mlresample2doptions-scales③">scales</a></code>[<var>index</var>]).</p>
+        <p>Otherwise, set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③①">dimensions</a></code>[<var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-axes" id="ref-for-dom-mlresample2doptions-axes④">axes</a></code>[<var>index</var>]] to floor(<var>input</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape⑥⑥">shape</a>[<var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-axes" id="ref-for-dom-mlresample2doptions-axes⑤">axes</a></code>[<var>index</var>]] * <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-scales" id="ref-for-dom-mlresample2doptions-scales③">scales</a></code>[<var>index</var>]).</p>
       </ol>
      <li data-md>
       <p>Return <var>desc</var>.</p>
@@ -7046,7 +7055,7 @@ <h4 class="heading settled" data-level="7.8.36" id="api-mlgraphbuilder-reshape-m
      <li data-md>
       <p>Let <var>desc</var> be a copy of <var>input</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperand-descriptor-slot" id="ref-for-dom-mloperand-descriptor-slot①①">[[descriptor]]</a></code>.</p>
      <li data-md>
-      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③①">dimensions</a></code> to <var>newShape</var>.</p>
+      <p>Set <var>desc</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③②">dimensions</a></code> to <var>newShape</var>.</p>
      <li data-md>
       <p><em>Make graph connections:</em></p>
       <ol>
@@ -7312,7 +7321,7 @@ <h5 class="heading settled" data-level="7.8.39.2" id="api-mlgraphbuilder-softmax
    <h4 class="heading settled" data-level="7.8.40" id="api-mlgraphbuilder-softplus-method"><span class="secno">7.8.40. </span><span class="content">softplus</span><a class="self-link" href="#api-mlgraphbuilder-softplus-method"></a></h4>
     Compute the <a href="https://en.wikipedia.org/wiki/Rectifier_(neural_networks)#Softplus">softplus function</a> of the input tensor. The calculation follows the expression <code>ln(1 + exp(steepness * x)) / steepness</code>. 
 <pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlsoftplusoptions"><code><c- g>MLSoftplusOptions</c-></code></dfn> {
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③⑦"><c- b>float</c-></a> <a class="idl-code" data-default="1" data-link-type="dict-member" data-type="float " href="#dom-mlsoftplusoptions-steepness" id="ref-for-dom-mlsoftplusoptions-steepness"><c- g>steepness</c-></a> = 1;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③④"><c- b>float</c-></a> <a class="idl-code" data-default="1" data-link-type="dict-member" data-type="float " href="#dom-mlsoftplusoptions-steepness" id="ref-for-dom-mlsoftplusoptions-steepness"><c- g>steepness</c-></a> = 1;
 };
 
 <c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder⑤⑥"><c- g>MLGraphBuilder</c-></a> {
@@ -7337,7 +7346,7 @@ <h4 class="heading settled" data-level="7.8.40" id="api-mlgraphbuilder-softplus-
    </div>
    <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlsoftplusoptions" id="ref-for-dictdef-mlsoftplusoptions②">MLSoftplusOptions</a></code> has the following members:</p>
    <dl>
-    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLSoftplusOptions" data-dfn-type="dict-member" data-export id="dom-mlsoftplusoptions-steepness"><code>steepness</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③⑧">float</a>, defaulting to <code>1</code></span>
+    <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLSoftplusOptions" data-dfn-type="dict-member" data-export id="dom-mlsoftplusoptions-steepness"><code>steepness</code></dfn>, <span> of type <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float③⑤">float</a>, defaulting to <code>1</code></span>
     <dd data-md>
      <p>A scalar parameter.</p>
    </dl>
@@ -7862,15 +7871,15 @@ <h4 class="heading settled" data-level="7.8.46" id="api-mlgraphbuilder-where"><s
      <li data-md>
       <p>Let <var>descriptor</var> be a new <code class="idl"><a data-link-type="idl" href="#dictdef-mloperanddescriptor" id="ref-for-dictdef-mloperanddescriptor③⑦">MLOperandDescriptor</a></code>.</p>
      <li data-md>
-      <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②④">dataType</a></code> to <var>input</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype③⑥">dataType</a>.</p>
+      <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-datatype" id="ref-for-dom-mloperanddescriptor-datatype②⑤">dataType</a></code> to <var>input</var>’s <a data-link-type="dfn" href="#mloperand-datatype" id="ref-for-mloperand-datatype③⑥">dataType</a>.</p>
      <li data-md>
-      <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③②">dimensions</a></code> to the result of <a data-link-type="dfn" href="#bidirectionally-broadcasting-the-shapes" id="ref-for-bidirectionally-broadcasting-the-shapes③">bidirectionally broadcasting the shapes</a> <var>input</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape⑦③">shape</a> and <var>other</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape⑦④">shape</a>.</p>
+      <p>Set <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③③">dimensions</a></code> to the result of <a data-link-type="dfn" href="#bidirectionally-broadcasting-the-shapes" id="ref-for-bidirectionally-broadcasting-the-shapes③">bidirectionally broadcasting the shapes</a> <var>input</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape⑦③">shape</a> and <var>other</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape⑦④">shape</a>.</p>
       <ol>
        <li data-md>
         <p>If that returns failure, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑥⑨">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror①⑨④">TypeError</a></code>.</p>
       </ol>
      <li data-md>
-      <p>If <var>condition</var> is not <a data-link-type="dfn" href="#bidirectionally-broadcastable" id="ref-for-bidirectionally-broadcastable">bidirectionally broadcastable</a> to <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③③">dimensions</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑦⓪">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror①⑨⑤">TypeError</a></code>.</p>
+      <p>If <var>condition</var> is not <a data-link-type="dfn" href="#bidirectionally-broadcastable" id="ref-for-bidirectionally-broadcastable">bidirectionally broadcastable</a> to <var>descriptor</var>.<code class="idl"><a data-link-type="idl" href="#dom-mloperanddescriptor-dimensions" id="ref-for-dom-mloperanddescriptor-dimensions③④">dimensions</a></code>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw②⑦⓪">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror①⑨⑤">TypeError</a></code>.</p>
      <li data-md>
       <p><em>Make graph connections:</em></p>
       <ol>
@@ -8055,12 +8064,12 @@ <h2 class="heading settled" data-level="9" id="examples"><span class="secno">9.
     </details>
    </div>
    <h2 class="heading settled" data-level="10" id="appendices"><span class="secno">10. </span><span class="content">Appendices</span><a class="self-link" href="#appendices"></a></h2>
-   <h3 class="heading settled" data-level="10.1" id="appendices-mloperanddatatype-arraybufferview-compatibility"><span class="secno">10.1. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype⑨">MLOperandDataType</a></code> and <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView⑨">ArrayBufferView</a></code> compatibility</span><a class="self-link" href="#appendices-mloperanddatatype-arraybufferview-compatibility"></a></h3>
+   <h3 class="heading settled" data-level="10.1" id="appendices-mloperanddatatype-arraybufferview-compatibility"><span class="secno">10.1. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype①⓪">MLOperandDataType</a></code> and <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView①①">ArrayBufferView</a></code> compatibility</span><a class="self-link" href="#appendices-mloperanddatatype-arraybufferview-compatibility"></a></h3>
    <table class="data">
     <thead class="stickyheader">
      <tr>
-      <th><code class="idl"><a data-link-type="idl" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype①⓪">MLOperandDataType</a></code> 
-      <th><code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView①⓪">ArrayBufferView</a></code> 
+      <th><code class="idl"><a data-link-type="idl" href="#enumdef-mloperanddatatype" id="ref-for-enumdef-mloperanddatatype①①">MLOperandDataType</a></code> 
+      <th><code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#ArrayBufferView" id="ref-for-ArrayBufferView①②">ArrayBufferView</a></code> 
     <tbody>
      <tr>
       <td><code class="idl"><a data-link-type="idl" href="#dom-mloperanddatatype-float32" id="ref-for-dom-mloperanddatatype-float32②">float32</a></code> 
@@ -8269,15 +8278,15 @@ <h3 class="no-num no-ref heading settled" id="index-defined-here"><span class="c
      <li><a href="#dom-mlgraphbuilder-context-slot">attribute for MLGraphBuilder</a><span>, in § 7.8</span>
     </ul>
    <li><a href="#dom-mlcontext-contexttype-slot">[[contextType]]</a><span>, in § 7.3</span>
-   <li><a href="#context-type">context type</a><span>, in § 7.2.2</span>
+   <li><a href="#context-type">context type</a><span>, in § 7.3</span>
    <li><a href="#dom-mlgraphbuilder-conv2d">conv2d(input, filter)</a><span>, in § 7.8.10</span>
    <li><a href="#dom-mlgraphbuilder-conv2d">conv2d(input, filter, options)</a><span>, in § 7.8.10</span>
    <li><a href="#dom-mlgraphbuilder-convtranspose2d">convTranspose2d(input, filter)</a><span>, in § 7.8.11</span>
    <li><a href="#dom-mlgraphbuilder-convtranspose2d">convTranspose2d(input, filter, options)</a><span>, in § 7.8.11</span>
    <li><a href="#copy-an-mloperand">copy an MLOperand</a><span>, in § 7.6.1</span>
    <li><a href="#dom-mlgraphbuilder-cos">cos(input)</a><span>, in § 7.8.14</span>
-   <li><a href="#dom-mldevicetype-cpu">"cpu"</a><span>, in § 7.2.2</span>
-   <li><a href="#dom-mldevicetype-cpu">cpu</a><span>, in § 7.2.2</span>
+   <li><a href="#dom-mldevicetype-cpu">"cpu"</a><span>, in § 7.2.1</span>
+   <li><a href="#dom-mldevicetype-cpu">cpu</a><span>, in § 7.2.1</span>
    <li><a href="#create-a-context">create a context</a><span>, in § 7.2.2</span>
    <li><a href="#create-an-mlactivation">create an MLActivation</a><span>, in § 7.7.1</span>
    <li><a href="#create-an-mloperand">create an MLOperand</a><span>, in § 7.6.1</span>
@@ -8291,17 +8300,16 @@ <h3 class="no-num no-ref heading settled" id="index-defined-here"><span class="c
      <li><a href="#dom-mloperanddescriptor-datatype">dict-member for MLOperandDescriptor</a><span>, in § 7.5</span>
     </ul>
    <li><a href="#dom-mloperand-datatype">dataType()</a><span>, in § 7.6.2</span>
-   <li><a href="#dom-mlpowerpreference-default">"default"</a><span>, in § 7.2.2</span>
+   <li><a href="#dom-mlpowerpreference-default">"default"</a><span>, in § 7.2.1</span>
    <li>
     default
     <ul>
-     <li><a href="#context-type-default">dfn for context type</a><span>, in § 7.2.2</span>
-     <li><a href="#dom-mlpowerpreference-default">enum-value for MLPowerPreference</a><span>, in § 7.2.2</span>
+     <li><a href="#context-type-default">dfn for context type</a><span>, in § 7.3</span>
+     <li><a href="#dom-mlpowerpreference-default">enum-value for MLPowerPreference</a><span>, in § 7.2.1</span>
     </ul>
    <li><a href="#dom-mloperand-descriptor-slot">[[descriptor]]</a><span>, in § 7.6</span>
    <li><a href="#dom-mlcontext-devicetype-slot">[[deviceType]]</a><span>, in § 7.3</span>
-   <li><a href="#device-type">device type</a><span>, in § 7.2.2</span>
-   <li><a href="#dom-mlcontextoptions-devicetype">deviceType</a><span>, in § 7.2</span>
+   <li><a href="#dom-mlcontextoptions-devicetype">deviceType</a><span>, in § 7.2.1</span>
    <li><a href="#dom-mltriangularoptions-diagonal">diagonal</a><span>, in § 7.8.45</span>
    <li>
     dilations
@@ -8353,8 +8361,8 @@ <h3 class="no-num no-ref heading settled" id="index-defined-here"><span class="c
    <li><a href="#dom-mlgraphbuilder-gather">gather(input, indices, options)</a><span>, in § 7.8.17</span>
    <li><a href="#dom-mlgraphbuilder-gemm">gemm(a, b)</a><span>, in § 7.8.18</span>
    <li><a href="#dom-mlgraphbuilder-gemm">gemm(a, b, options)</a><span>, in § 7.8.18</span>
-   <li><a href="#dom-mldevicetype-gpu">"gpu"</a><span>, in § 7.2.2</span>
-   <li><a href="#dom-mldevicetype-gpu">gpu</a><span>, in § 7.2.2</span>
+   <li><a href="#dom-mldevicetype-gpu">"gpu"</a><span>, in § 7.2.1</span>
+   <li><a href="#dom-mldevicetype-gpu">gpu</a><span>, in § 7.2.1</span>
    <li><a href="#mlgraphbuilder-graph">graph</a><span>, in § 6.1</span>
    <li><a href="#dom-mlgraphbuilder-greater">greater(a, b)</a><span>, in § 7.8.13</span>
    <li><a href="#dom-mlgraphbuilder-greaterorequal">greaterOrEqual(a, b)</a><span>, in § 7.8.13</span>
@@ -8374,8 +8382,8 @@ <h3 class="no-num no-ref heading settled" id="index-defined-here"><span class="c
    <li><a href="#dom-mlgraphbuilder-hardsigmoid-options">hardSigmoid(options)</a><span>, in § 7.8.21.2</span>
    <li><a href="#hardswish-noargs">hardSwish()</a><span>, in § 7.8.22.2</span>
    <li><a href="#dom-mlgraphbuilder-hardswish">hardSwish(input)</a><span>, in § 7.8.22.1</span>
-   <li><a href="#dom-mlpowerpreference-high-performance">"high-performance"</a><span>, in § 7.2.2</span>
-   <li><a href="#dom-mlpowerpreference-high-performance">high-performance</a><span>, in § 7.2.2</span>
+   <li><a href="#dom-mlpowerpreference-high-performance">"high-performance"</a><span>, in § 7.2.1</span>
+   <li><a href="#dom-mlpowerpreference-high-performance">high-performance</a><span>, in § 7.2.1</span>
    <li><a href="#dom-mlconv2dfilteroperandlayout-hwio">"hwio"</a><span>, in § 7.8.10</span>
    <li><a href="#dom-mlconvtranspose2dfilteroperandlayout-hwoi">"hwoi"</a><span>, in § 7.8.11</span>
    <li><a href="#dom-mlgraphbuilder-identity">identity(input)</a><span>, in § 7.8.14</span>
@@ -8443,8 +8451,8 @@ <h3 class="no-num no-ref heading settled" id="index-defined-here"><span class="c
    <li><a href="#dom-mlgraphbuilder-linear">linear(input, options)</a><span>, in § 7.8.26.1</span>
    <li><a href="#dom-mlgraphbuilder-linear-options">linear(options)</a><span>, in § 7.8.26.2</span>
    <li><a href="#dom-mlgraphbuilder-log">log(input)</a><span>, in § 7.8.14</span>
-   <li><a href="#dom-mlpowerpreference-low-power">"low-power"</a><span>, in § 7.2.2</span>
-   <li><a href="#dom-mlpowerpreference-low-power">low-power</a><span>, in § 7.2.2</span>
+   <li><a href="#dom-mlpowerpreference-low-power">"low-power"</a><span>, in § 7.2.1</span>
+   <li><a href="#dom-mlpowerpreference-low-power">low-power</a><span>, in § 7.2.1</span>
    <li><a href="#dom-mlgraphbuilder-lstmcell">lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize)</a><span>, in § 7.8.28</span>
    <li><a href="#dom-mlgraphbuilder-lstmcell">lstmCell(input, weight, recurrentWeight, hiddenState, cellState, hiddenSize, options)</a><span>, in § 7.8.28</span>
    <li><a href="#dom-mlgraphbuilder-lstm">lstm(input, weight, recurrentWeight, steps, hiddenSize)</a><span>, in § 7.8.27</span>
@@ -8469,7 +8477,7 @@ <h3 class="no-num no-ref heading settled" id="index-defined-here"><span class="c
    <li><a href="#dictdef-mlconv2doptions">MLConv2dOptions</a><span>, in § 7.8.10</span>
    <li><a href="#enumdef-mlconvtranspose2dfilteroperandlayout">MLConvTranspose2dFilterOperandLayout</a><span>, in § 7.8.11</span>
    <li><a href="#dictdef-mlconvtranspose2doptions">MLConvTranspose2dOptions</a><span>, in § 7.8.11</span>
-   <li><a href="#enumdef-mldevicetype">MLDeviceType</a><span>, in § 7.2</span>
+   <li><a href="#enumdef-mldevicetype">MLDeviceType</a><span>, in § 7.2.1</span>
    <li><a href="#dictdef-mleluoptions">MLEluOptions</a><span>, in § 7.8.15</span>
    <li><a href="#dictdef-mlgatheroptions">MLGatherOptions</a><span>, in § 7.8.17</span>
    <li><a href="#dictdef-mlgemmoptions">MLGemmOptions</a><span>, in § 7.8.18</span>
@@ -8497,7 +8505,7 @@ <h3 class="no-num no-ref heading settled" id="index-defined-here"><span class="c
    <li><a href="#enumdef-mlpaddingmode">MLPaddingMode</a><span>, in § 7.8.30</span>
    <li><a href="#dictdef-mlpadoptions">MLPadOptions</a><span>, in § 7.8.30</span>
    <li><a href="#dictdef-mlpool2doptions">MLPool2dOptions</a><span>, in § 7.8.31</span>
-   <li><a href="#enumdef-mlpowerpreference">MLPowerPreference</a><span>, in § 7.2</span>
+   <li><a href="#enumdef-mlpowerpreference">MLPowerPreference</a><span>, in § 7.2.1</span>
    <li><a href="#enumdef-mlrecurrentnetworkdirection">MLRecurrentNetworkDirection</a><span>, in § 7.8.19</span>
    <li><a href="#dictdef-mlreduceoptions">MLReduceOptions</a><span>, in § 7.8.33</span>
    <li><a href="#dictdef-mlresample2doptions">MLResample2dOptions</a><span>, in § 7.8.35</span>
@@ -8569,8 +8577,7 @@ <h3 class="no-num no-ref heading settled" id="index-defined-here"><span class="c
    <li><a href="#mlgraphbuilder-pooling-op">pooling-op</a><span>, in § 7.8.31</span>
    <li><a href="#dom-mlgraphbuilder-pow">pow(a, b)</a><span>, in § 7.8.12</span>
    <li><a href="#dom-mlcontext-powerpreference-slot">[[powerPreference]]</a><span>, in § 7.3</span>
-   <li><a href="#power-preference">power preference</a><span>, in § 7.2.2</span>
-   <li><a href="#dom-mlcontextoptions-powerpreference">powerPreference</a><span>, in § 7.2</span>
+   <li><a href="#dom-mlcontextoptions-powerpreference">powerPreference</a><span>, in § 7.2.1</span>
    <li><a href="#dom-mlgraphbuilder-prelu">prelu(input, slope)</a><span>, in § 7.8.32</span>
    <li><a href="#queue-an-ml-task">queue an ML task</a><span>, in § 6.3</span>
    <li><a href="#mloperand-rank">rank</a><span>, in § 7.6</span>
@@ -8680,8 +8687,8 @@ <h3 class="no-num no-ref heading settled" id="index-defined-here"><span class="c
    <li><a href="#validate-graph-resources">validate graph resources</a><span>, in § 7.3</span>
    <li><a href="#mlgraphbuilder-validate-operand">validate operand</a><span>, in § 7.6.1</span>
    <li><a href="#dom-mlpadoptions-value">value</a><span>, in § 7.8.30</span>
-   <li><a href="#context-type-webgpu">webgpu</a><span>, in § 7.2.2</span>
-   <li><a href="#webnn-feature">webnn-feature</a><span>, in § 7.2.1</span>
+   <li><a href="#context-type-webgpu">webgpu</a><span>, in § 7.3</span>
+   <li><a href="#webnn-feature">webnn-feature</a><span>, in § 6.4</span>
    <li><a href="#dom-mlgraphbuilder-where">where(condition, input, other)</a><span>, in § 7.8.46</span>
    <li><a href="#dom-mlpool2doptions-windowdimensions">windowDimensions</a><span>, in § 7.8.31</span>
    <li><a href="#dom-mlgruweightlayout-zrn">"zrn"</a><span>, in § 7.8.19</span>
@@ -8917,20 +8924,20 @@ <h2 class="no-num no-ref heading settled" id="idl-index"><span class="content">I
 <a data-link-type="idl-name" href="https://html.spec.whatwg.org/multipage/system-state.html#navigator"><c- n>Navigator</c-></a> <c- b>includes</c-> <a data-link-type="idl-name" href="#navigatorml"><c- n>NavigatorML</c-></a>;
 <a data-link-type="idl-name" href="https://html.spec.whatwg.org/multipage/workers.html#workernavigator"><c- n>WorkerNavigator</c-></a> <c- b>includes</c-> <a data-link-type="idl-name" href="#navigatorml"><c- n>NavigatorML</c-></a>;
 
-<c- b>enum</c-> <a href="#enumdef-mldevicetype"><code><c- g>MLDeviceType</c-></code></a> {
+<c- b>enum</c-> <a class="idl-code" data-link-type="enum" href="#enumdef-mldevicetype"><c- g>MLDeviceType</c-></a> {
   <a class="idl-code" data-link-type="enum-value" href="#dom-mldevicetype-cpu"><c- s>"cpu"</c-></a>,
   <a class="idl-code" data-link-type="enum-value" href="#dom-mldevicetype-gpu"><c- s>"gpu"</c-></a>
 };
 
-<c- b>enum</c-> <a href="#enumdef-mlpowerpreference"><code><c- g>MLPowerPreference</c-></code></a> {
+<c- b>enum</c-> <a class="idl-code" data-link-type="enum" href="#enumdef-mlpowerpreference"><c- g>MLPowerPreference</c-></a> {
   <a class="idl-code" data-link-type="enum-value" href="#dom-mlpowerpreference-default"><c- s>"default"</c-></a>,
   <a class="idl-code" data-link-type="enum-value" href="#dom-mlpowerpreference-high-performance"><c- s>"high-performance"</c-></a>,
   <a class="idl-code" data-link-type="enum-value" href="#dom-mlpowerpreference-low-power"><c- s>"low-power"</c-></a>
 };
 
 <c- b>dictionary</c-> <a href="#dictdef-mlcontextoptions"><code><c- g>MLContextOptions</c-></code></a> {
-  <a data-link-type="idl-name" href="#enumdef-mldevicetype"><c- n>MLDeviceType</c-></a> <a data-default="&quot;cpu&quot;" data-type="MLDeviceType " href="#dom-mlcontextoptions-devicetype"><code><c- g>deviceType</c-></code></a> = "cpu";
-  <a data-link-type="idl-name" href="#enumdef-mlpowerpreference"><c- n>MLPowerPreference</c-></a> <a data-default="&quot;default&quot;" data-type="MLPowerPreference " href="#dom-mlcontextoptions-powerpreference"><code><c- g>powerPreference</c-></code></a> = "default";
+  <a data-link-type="idl-name" href="#enumdef-mldevicetype"><c- n>MLDeviceType</c-></a> <a class="idl-code" data-default="&quot;cpu&quot;" data-link-type="dict-member" data-type="MLDeviceType " href="#dom-mlcontextoptions-devicetype"><c- g>deviceType</c-></a> = "cpu";
+  <a data-link-type="idl-name" href="#enumdef-mlpowerpreference"><c- n>MLPowerPreference</c-></a> <a class="idl-code" data-default="&quot;default&quot;" data-link-type="dict-member" data-type="MLPowerPreference " href="#dom-mlcontextoptions-powerpreference"><c- g>powerPreference</c-></a> = "default";
 };
 
 [<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#SecureContext"><c- g>SecureContext</c-></a>, <a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#Exposed"><c- g>Exposed</c-></a>=(<c- n>Window</c->, <c- n>DedicatedWorker</c->)]
@@ -8942,8 +8949,8 @@ <h2 class="no-num no-ref heading settled" id="idl-index"><span class="content">I
 <c- b>typedef</c-> <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-record"><c- b>record</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-DOMString"><c- b>DOMString</c-></a>, <a data-link-type="idl-name" href="https://webidl.spec.whatwg.org/#ArrayBufferView"><c- n>ArrayBufferView</c-></a>> <a href="#typedefdef-mlnamedarraybufferviews"><code><c- g>MLNamedArrayBufferViews</c-></code></a>;
 
 <c- b>dictionary</c-> <a href="#dictdef-mlcomputeresult"><code><c- g>MLComputeResult</c-></code></a> {
-  <a data-link-type="idl-name" href="#typedefdef-mlnamedarraybufferviews"><c- n>MLNamedArrayBufferViews</c-></a> <a data-type="MLNamedArrayBufferViews " href="#dom-mlcomputeresult-inputs"><code><c- g>inputs</c-></code></a>;
-  <a data-link-type="idl-name" href="#typedefdef-mlnamedarraybufferviews"><c- n>MLNamedArrayBufferViews</c-></a> <a data-type="MLNamedArrayBufferViews " href="#dom-mlcomputeresult-outputs"><code><c- g>outputs</c-></code></a>;
+  <a data-link-type="idl-name" href="#typedefdef-mlnamedarraybufferviews"><c- n>MLNamedArrayBufferViews</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLNamedArrayBufferViews " href="#dom-mlcomputeresult-inputs"><c- g>inputs</c-></a>;
+  <a data-link-type="idl-name" href="#typedefdef-mlnamedarraybufferviews"><c- n>MLNamedArrayBufferViews</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLNamedArrayBufferViews " href="#dom-mlcomputeresult-outputs"><c- g>outputs</c-></a>;
 };
 
 [<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#SecureContext"><c- g>SecureContext</c-></a>, <a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#Exposed"><c- g>Exposed</c-></a>=(<c- n>Window</c->, <c- n>DedicatedWorker</c->)]
@@ -8972,12 +8979,8 @@ <h2 class="no-num no-ref heading settled" id="idl-index"><span class="content">I
 };
 
 <c- b>dictionary</c-> <a href="#dictdef-mloperanddescriptor"><code><c- g>MLOperandDescriptor</c-></code></a> {
-  // The operand type.
-  <c- b>required</c-> <a data-link-type="idl-name" href="#enumdef-mloperanddatatype"><c- n>MLOperandDataType</c-></a> <a data-type="MLOperandDataType " href="#dom-mloperanddescriptor-datatype"><code><c- g>dataType</c-></code></a>;
-
-  // The dimensions field is empty for scalar operands,
-  // and non-empty for tensor operands.
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence"><c- b>sequence</c-></a>&lt;[<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#EnforceRange"><c- g>EnforceRange</c-></a>] <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long"><c- b>unsigned</c-> <c- b>long</c-></a>> <a data-default="[]" data-type="sequence<[EnforceRange] unsigned long> " href="#dom-mloperanddescriptor-dimensions"><code><c- g>dimensions</c-></code></a> = [];
+  <c- b>required</c-> <a data-link-type="idl-name" href="#enumdef-mloperanddatatype"><c- n>MLOperandDataType</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLOperandDataType " href="#dom-mloperanddescriptor-datatype"><c- g>dataType</c-></a>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence"><c- b>sequence</c-></a>&lt;[<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#EnforceRange"><c- g>EnforceRange</c-></a>] <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long"><c- b>unsigned</c-> <c- b>long</c-></a>> <a class="idl-code" data-default="[]" data-link-type="dict-member" data-type="sequence<[EnforceRange] unsigned long> " href="#dom-mloperanddescriptor-dimensions"><c- g>dimensions</c-></a> = [];
 };
 
 [<a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#SecureContext"><c- g>SecureContext</c-></a>, <a class="idl-code" data-link-type="extended-attribute" href="https://webidl.spec.whatwg.org/#Exposed"><c- g>Exposed</c-></a>=(<c- n>Window</c->, <c- n>DedicatedWorker</c->)]
@@ -9038,8 +9041,8 @@ <h2 class="no-num no-ref heading settled" id="idl-index"><span class="content">I
 };
 
 <c- b>dictionary</c-> <a href="#dictdef-mlclampoptions"><code><c- g>MLClampOptions</c-></code></a> {
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float"><c- b>float</c-></a> <a data-type="float " href="#dom-mlclampoptions-minvalue"><code><c- g>minValue</c-></code></a>;
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float"><c- b>float</c-></a> <a data-type="float " href="#dom-mlclampoptions-maxvalue"><code><c- g>maxValue</c-></code></a>;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float"><c- b>float</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="float " href="#dom-mlclampoptions-minvalue"><c- g>minValue</c-></a>;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float"><c- b>float</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="float " href="#dom-mlclampoptions-maxvalue"><c- g>maxValue</c-></a>;
 };
 
 <c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder"><c- g>MLGraphBuilder</c-></a> {
@@ -9135,7 +9138,7 @@ <h2 class="no-num no-ref heading settled" id="idl-index"><span class="content">I
 };
 
 <c- b>dictionary</c-> <a href="#dictdef-mleluoptions"><code><c- g>MLEluOptions</c-></code></a> {
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float"><c- b>float</c-></a> <a data-default="1" data-type="float " href="#dom-mleluoptions-alpha"><code><c- g>alpha</c-></code></a> = 1;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-float"><c- b>float</c-></a> <a class="idl-code" data-default="1" data-link-type="dict-member" data-type="float " href="#dom-mleluoptions-alpha"><c- g>alpha</c-></a> = 1;
 };
 
 <c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder"><c- g>MLGraphBuilder</c-></a> {
@@ -9486,6 +9489,7 @@ <h2 class="no-num no-ref heading settled" id="issues-index"><span class="content
    <div class="issue"> The maximum number of operand dimensions is not defined, but native ML APIs usually have a maximum supported size. <a href="https://github.com/webmachinelearning/webnn/issues/456">[Issue #456]</a> <a class="issue-return" href="#issue-8054fa8e" title="Jump to section">↵</a></div>
    <div class="issue"> If <code class="idl"><a data-link-type="idl" href="#mlgraphbuilder">MLGraphBuilder</a></code> can’t be re-used, then this can be simplified: enforce uniqueness in <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-input">input()</a></code> instead, and iteration can be done over all of the graph’s inputs instead of needing this traversal. <a href="https://github.com/webmachinelearning/webnn/issues/567">[Issue #567]</a> <a class="issue-return" href="#issue-91f4b8a3" title="Jump to section">↵</a></div>
    <div class="issue"> If <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-constant">constants'</a></code> <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-ArrayBuffer">ArrayBuffer</a></code>s are not <a data-link-type="dfn" href="https://w3c.github.io/vc-data-model/#dfn-transfers">transferred</a>, make copies for <a data-link-type="dfn" href="#mlgraphbuilder-graph">graph</a>'s <a data-link-type="dfn" href="#computational-graph-constants">constants</a> here. <a href="https://github.com/webmachinelearning/webnn/issues/566">[Issue #566]</a> <a class="issue-return" href="#issue-6f962d4f" title="Jump to section">↵</a></div>
+   <div class="issue"> Not all implementations support <code class="idl"><a data-link-type="idl" href="#dom-mlclampoptions-minvalue">minValue</a></code> equal to <code class="idl"><a data-link-type="idl" href="#dom-mlclampoptions-maxvalue">maxValue</a></code>. <a href="https://github.com/webmachinelearning/webnn/issues/396">[Issue #396]</a> <a class="issue-return" href="#issue-ebd3b60c" title="Jump to section">↵</a></div>
   </div>
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@@ -9935,7 +9937,7 @@ <h2 class="no-num no-ref heading settled" id="issues-index"><span class="content
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@@ -9944,8 +9946,8 @@ <h2 class="no-num no-ref heading settled" id="issues-index"><span class="content
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Creating an MLOperand"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2463"}], "title": "7.6.2. dataType()"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2464"}], "title": "7.6.3. shape()"}, {"refs": [{"id": "ref-for-mloperand\u2462\u2465"}, {"id": "ref-for-mloperand\u2462\u2466"}, {"id": "ref-for-mloperand\u2462\u2467"}, {"id": "ref-for-mloperand\u2462\u2468"}], "title": "7.8. MLGraphBuilder interface"}, {"refs": [{"id": "ref-for-mloperand\u2463\u24ea"}, {"id": "ref-for-mloperand\u2463\u2460"}], "title": "7.8.2. input operands"}, {"refs": [{"id": "ref-for-mloperand\u2463\u2461"}], "title": "7.8.3. constant operands"}, {"refs": [{"id": "ref-for-mloperand\u2463\u2462"}, {"id": "ref-for-mloperand\u2463\u2463"}], "title": "7.8.3.1. constant(descriptor, bufferView)"}, {"refs": [{"id": "ref-for-mloperand\u2463\u2464"}, {"id": "ref-for-mloperand\u2463\u2465"}], "title": "7.8.3.2. constant(value, type)"}, {"refs": [{"id": "ref-for-mloperand\u2463\u2466"}, {"id": "ref-for-mloperand\u2463\u2467"}], "title": "7.8.3.3. constant(start, end, step, type)"}, {"refs": [{"id": "ref-for-mloperand\u2463\u2468"}], "title": "7.8.4. build method"}, {"refs": [{"id": "ref-for-mloperand\u2464\u24ea"}, {"id": "ref-for-mloperand\u2464\u2460"}, {"id": "ref-for-mloperand\u2464\u2461"}, {"id": "ref-for-mloperand\u2464\u2462"}, {"id": "ref-for-mloperand\u2464\u2463"}, {"id": "ref-for-mloperand\u2464\u2464"}, {"id": "ref-for-mloperand\u2464\u2465"}], "title": "7.8.5. argMin/argMax operations"}, {"refs": [{"id": "ref-for-mloperand\u2464\u2466"}, {"id": "ref-for-mloperand\u2464\u2467"}, {"id": "ref-for-mloperand\u2464\u2468"}, {"id": "ref-for-mloperand\u2465\u24ea"}, {"id": "ref-for-mloperand\u2465\u2460"}, {"id": "ref-for-mloperand\u2465\u2461"}, {"id": "ref-for-mloperand\u2465\u2462"}, {"id": "ref-for-mloperand\u2465\u2463"}, {"id": "ref-for-mloperand\u2465\u2464"}, {"id": "ref-for-mloperand\u2465\u2465"}, {"id": "ref-for-mloperand\u2465\u2466"}, {"id": "ref-for-mloperand\u2465\u2467"}], "title": "7.8.6. batchNormalization"}, {"refs": [{"id": "ref-for-mloperand\u2465\u2468"}, {"id": "ref-for-mloperand\u2466\u24ea"}, {"id": "ref-for-mloperand\u2466\u2460"}, {"id": "ref-for-mloperand\u2466\u2461"}], "title": "7.8.7. cast"}, {"refs": [{"id": "ref-for-mloperand\u2466\u2462"}, {"id": "ref-for-mloperand\u2466\u2463"}], "title": "7.8.8. clamp"}, {"refs": [{"id": "ref-for-mloperand\u2466\u2464"}, {"id": "ref-for-mloperand\u2466\u2465"}], "title": "7.8.8.1. clamp(input, options)"}, {"refs": [{"id": "ref-for-mloperand\u2466\u2466"}, {"id": "ref-for-mloperand\u2466\u2467"}, {"id": "ref-for-mloperand\u2466\u2468"}, {"id": "ref-for-mloperand\u2467\u24ea"}], "title": "7.8.9. concat"}, {"refs": [{"id": "ref-for-mloperand\u2467\u2460"}, {"id": "ref-for-mloperand\u2467\u2461"}, {"id": "ref-for-mloperand\u2467\u2462"}, {"id": "ref-for-mloperand\u2467\u2463"}, {"id": "ref-for-mloperand\u2467\u2464"}, {"id": "ref-for-mloperand\u2467\u2465"}, {"id": "ref-for-mloperand\u2467\u2466"}, {"id": "ref-for-mloperand\u2467\u2467"}], "title": "7.8.10. conv2d"}, {"refs": [{"id": "ref-for-mloperand\u2467\u2468"}, {"id": "ref-for-mloperand\u2468\u24ea"}, {"id": "ref-for-mloperand\u2468\u2460"}, {"id": "ref-for-mloperand\u2468\u2461"}, {"id": "ref-for-mloperand\u2468\u2462"}, {"id": "ref-for-mloperand\u2468\u2463"}, {"id": "ref-for-mloperand\u2468\u2464"}, {"id": "ref-for-mloperand\u2468\u2465"}], "title": "7.8.11. convTranspose2d"}, {"refs": [{"id": "ref-for-mloperand\u2468\u2466"}, {"id": "ref-for-mloperand\u2468\u2467"}, {"id": "ref-for-mloperand\u2468\u2468"}, {"id": "ref-for-mloperand\u2460\u24ea\u24ea"}, {"id": "ref-for-mloperand\u2460\u24ea\u2460"}, {"id": "ref-for-mloperand\u2460\u24ea\u2461"}, {"id": "ref-for-mloperand\u2460\u24ea\u2462"}, {"id": "ref-for-mloperand\u2460\u24ea\u2463"}, {"id": "ref-for-mloperand\u2460\u24ea\u2464"}, {"id": "ref-for-mloperand\u2460\u24ea\u2465"}, {"id": "ref-for-mloperand\u2460\u24ea\u2466"}, {"id": "ref-for-mloperand\u2460\u24ea\u2467"}, {"id": "ref-for-mloperand\u2460\u24ea\u2468"}, {"id": "ref-for-mloperand\u2460\u2460\u24ea"}, {"id": "ref-for-mloperand\u2460\u2460\u2460"}, {"id": "ref-for-mloperand\u2460\u2460\u2461"}, {"id": "ref-for-mloperand\u2460\u2460\u2462"}, {"id": "ref-for-mloperand\u2460\u2460\u2463"}, {"id": "ref-for-mloperand\u2460\u2460\u2464"}, {"id": "ref-for-mloperand\u2460\u2460\u2465"}, {"id": "ref-for-mloperand\u2460\u2460\u2466"}, {"id": "ref-for-mloperand\u2460\u2460\u2467"}, {"id": "ref-for-mloperand\u2460\u2460\u2468"}, {"id": "ref-for-mloperand\u2460\u2461\u24ea"}, {"id": "ref-for-mloperand\u2460\u2461\u2460"}, {"id": "ref-for-mloperand\u2460\u2461\u2461"}], "title": "7.8.12. Element-wise binary operations"}, {"refs": [{"id": "ref-for-mloperand\u2460\u2461\u2462"}, {"id": "ref-for-mloperand\u2460\u2461\u2463"}, {"id": "ref-for-mloperand\u2460\u2461\u2464"}, {"id": "ref-for-mloperand\u2460\u2461\u2465"}, {"id": "ref-for-mloperand\u2460\u2461\u2466"}, {"id": "ref-for-mloperand\u2460\u2461\u2467"}, {"id": "ref-for-mloperand\u2460\u2461\u2468"}, {"id": "ref-for-mloperand\u2460\u2462\u24ea"}, {"id": "ref-for-mloperand\u2460\u2462\u2460"}, {"id": "ref-for-mloperand\u2460\u2462\u2461"}, {"id": "ref-for-mloperand\u2460\u2462\u2462"}, {"id": "ref-for-mloperand\u2460\u2462\u2463"}, {"id": "ref-for-mloperand\u2460\u2462\u2464"}, {"id": "ref-for-mloperand\u2460\u2462\u2465"}, {"id": "ref-for-mloperand\u2460\u2462\u2466"}, {"id": "ref-for-mloperand\u2460\u2462\u2467"}, {"id": "ref-for-mloperand\u2460\u2462\u2468"}, {"id": "ref-for-mloperand\u2460\u2463\u24ea"}, {"id": "ref-for-mloperand\u2460\u2463\u2460"}, {"id": "ref-for-mloperand\u2460\u2463\u2461"}, {"id": "ref-for-mloperand\u2460\u2463\u2462"}, {"id": "ref-for-mloperand\u2460\u2463\u2463"}], "title": "7.8.13. Element-wise logical operations"}, {"refs": [{"id": "ref-for-mloperand\u2460\u2463\u2464"}, {"id": "ref-for-mloperand\u2460\u2463\u2465"}, {"id": "ref-for-mloperand\u2460\u2463\u2466"}, {"id": "ref-for-mloperand\u2460\u2463\u2467"}, {"id": "ref-for-mloperand\u2460\u2463\u2468"}, {"id": "ref-for-mloperand\u2460\u2464\u24ea"}, {"id": "ref-for-mloperand\u2460\u2464\u2460"}, {"id": "ref-for-mloperand\u2460\u2464\u2461"}, {"id": "ref-for-mloperand\u2460\u2464\u2462"}, {"id": "ref-for-mloperand\u2460\u2464\u2463"}, {"id": "ref-for-mloperand\u2460\u2464\u2464"}, {"id": "ref-for-mloperand\u2460\u2464\u2465"}, {"id": "ref-for-mloperand\u2460\u2464\u2466"}, {"id": "ref-for-mloperand\u2460\u2464\u2467"}, {"id": "ref-for-mloperand\u2460\u2464\u2468"}, {"id": "ref-for-mloperand\u2460\u2465\u24ea"}, {"id": "ref-for-mloperand\u2460\u2465\u2460"}, {"id": "ref-for-mloperand\u2460\u2465\u2461"}, {"id": "ref-for-mloperand\u2460\u2465\u2462"}, {"id": "ref-for-mloperand\u2460\u2465\u2463"}, {"id": "ref-for-mloperand\u2460\u2465\u2464"}, {"id": "ref-for-mloperand\u2460\u2465\u2465"}, {"id": "ref-for-mloperand\u2460\u2465\u2466"}, {"id": "ref-for-mloperand\u2460\u2465\u2467"}, {"id": "ref-for-mloperand\u2460\u2465\u2468"}, {"id": "ref-for-mloperand\u2460\u2466\u24ea"}, {"id": "ref-for-mloperand\u2460\u2466\u2460"}, {"id": "ref-for-mloperand\u2460\u2466\u2461"}, {"id": "ref-for-mloperand\u2460\u2466\u2462"}], "title": "7.8.14. Element-wise unary operations"}, {"refs": [{"id": "ref-for-mloperand\u2460\u2466\u2463"}, {"id": "ref-for-mloperand\u2460\u2466\u2464"}], "title": "7.8.15. elu"}, {"refs": [{"id": "ref-for-mloperand\u2460\u2466\u2465"}, {"id": "ref-for-mloperand\u2460\u2466\u2466"}], "title": "7.8.15.1. elu(input, options)"}, {"refs": [{"id": "ref-for-mloperand\u2460\u2466\u2467"}, {"id": "ref-for-mloperand\u2460\u2466\u2468"}, {"id": "ref-for-mloperand\u2460\u2467\u24ea"}, {"id": "ref-for-mloperand\u2460\u2467\u2460"}], "title": "7.8.16. expand"}, {"refs": [{"id": "ref-for-mloperand\u2460\u2467\u2461"}, {"id": "ref-for-mloperand\u2460\u2467\u2462"}, {"id": "ref-for-mloperand\u2460\u2467\u2463"}, {"id": "ref-for-mloperand\u2460\u2467\u2464"}, {"id": "ref-for-mloperand\u2460\u2467\u2465"}, {"id": "ref-for-mloperand\u2460\u2467\u2466"}], "title": "7.8.17. gather"}, {"refs": [{"id": "ref-for-mloperand\u2460\u2467\u2467"}, {"id": "ref-for-mloperand\u2460\u2467\u2468"}, {"id": "ref-for-mloperand\u2460\u2468\u24ea"}, {"id": "ref-for-mloperand\u2460\u2468\u2460"}, {"id": "ref-for-mloperand\u2460\u2468\u2461"}, {"id": "ref-for-mloperand\u2460\u2468\u2462"}, {"id": "ref-for-mloperand\u2460\u2468\u2463"}, {"id": "ref-for-mloperand\u2460\u2468\u2464"}], "title": "7.8.18. gemm"}, {"refs": [{"id": "ref-for-mloperand\u2460\u2468\u2465"}, {"id": "ref-for-mloperand\u2460\u2468\u2466"}, {"id": "ref-for-mloperand\u2460\u2468\u2467"}, {"id": "ref-for-mloperand\u2460\u2468\u2468"}, {"id": "ref-for-mloperand\u2461\u24ea\u24ea"}, {"id": "ref-for-mloperand\u2461\u24ea\u2460"}, {"id": "ref-for-mloperand\u2461\u24ea\u2461"}, {"id": "ref-for-mloperand\u2461\u24ea\u2462"}, {"id": "ref-for-mloperand\u2461\u24ea\u2463"}, {"id": "ref-for-mloperand\u2461\u24ea\u2464"}, {"id": "ref-for-mloperand\u2461\u24ea\u2465"}, {"id": "ref-for-mloperand\u2461\u24ea\u2466"}, {"id": "ref-for-mloperand\u2461\u24ea\u2467"}, {"id": "ref-for-mloperand\u2461\u24ea\u2468"}], "title": "7.8.19. gru"}, {"refs": [{"id": "ref-for-mloperand\u2461\u2460\u24ea"}, {"id": "ref-for-mloperand\u2461\u2460\u2460"}, {"id": "ref-for-mloperand\u2461\u2460\u2461"}, {"id": "ref-for-mloperand\u2461\u2460\u2462"}, {"id": "ref-for-mloperand\u2461\u2460\u2463"}, {"id": "ref-for-mloperand\u2461\u2460\u2464"}, {"id": "ref-for-mloperand\u2461\u2460\u2465"}, {"id": "ref-for-mloperand\u2461\u2460\u2466"}, {"id": "ref-for-mloperand\u2461\u2460\u2467"}, {"id": "ref-for-mloperand\u2461\u2460\u2468"}, {"id": "ref-for-mloperand\u2461\u2461\u24ea"}, {"id": "ref-for-mloperand\u2461\u2461\u2460"}, {"id": "ref-for-mloperand\u2461\u2461\u2461"}, {"id": "ref-for-mloperand\u2461\u2461\u2462"}], "title": "7.8.20. gruCell"}, {"refs": [{"id": "ref-for-mloperand\u2461\u2461\u2463"}, {"id": "ref-for-mloperand\u2461\u2461\u2464"}], "title": "7.8.21. hardSigmoid"}, {"refs": [{"id": "ref-for-mloperand\u2461\u2461\u2465"}, {"id": "ref-for-mloperand\u2461\u2461\u2466"}], "title": "7.8.21.1. hardSigmoid(input, options)"}, {"refs": [{"id": "ref-for-mloperand\u2461\u2461\u2467"}, {"id": "ref-for-mloperand\u2461\u2461\u2468"}], "title": "7.8.22. hardSwish"}, {"refs": [{"id": "ref-for-mloperand\u2461\u2462\u24ea"}, {"id": "ref-for-mloperand\u2461\u2462\u2460"}], "title": "7.8.22.1. hardSwish(input)"}, {"refs": [{"id": "ref-for-mloperand\u2461\u2462\u2461"}, {"id": "ref-for-mloperand\u2461\u2462\u2462"}, {"id": "ref-for-mloperand\u2461\u2462\u2463"}, {"id": "ref-for-mloperand\u2461\u2462\u2464"}, {"id": "ref-for-mloperand\u2461\u2462\u2465"}, {"id": "ref-for-mloperand\u2461\u2462\u2466"}, {"id": "ref-for-mloperand\u2461\u2462\u2467"}, {"id": "ref-for-mloperand\u2461\u2462\u2468"}], "title": "7.8.23. instanceNormalization"}, {"refs": [{"id": "ref-for-mloperand\u2461\u2463\u24ea"}, {"id": "ref-for-mloperand\u2461\u2463\u2460"}, {"id": "ref-for-mloperand\u2461\u2463\u2461"}, {"id": "ref-for-mloperand\u2461\u2463\u2462"}, {"id": "ref-for-mloperand\u2461\u2463\u2463"}, {"id": "ref-for-mloperand\u2461\u2463\u2464"}, {"id": "ref-for-mloperand\u2461\u2463\u2465"}, {"id": "ref-for-mloperand\u2461\u2463\u2466"}], "title": "7.8.24. layerNormalization"}, {"refs": [{"id": "ref-for-mloperand\u2461\u2463\u2467"}, {"id": "ref-for-mloperand\u2461\u2463\u2468"}], "title": "7.8.25. leakyRelu"}, {"refs": [{"id": "ref-for-mloperand\u2461\u2464\u24ea"}, {"id": "ref-for-mloperand\u2461\u2464\u2460"}], "title": "7.8.25.1. leakyRelu(input, options)"}, {"refs": [{"id": "ref-for-mloperand\u2461\u2464\u2461"}, {"id": "ref-for-mloperand\u2461\u2464\u2462"}], "title": "7.8.26. linear"}, {"refs": [{"id": "ref-for-mloperand\u2461\u2464\u2463"}, {"id": "ref-for-mloperand\u2461\u2464\u2464"}], "title": "7.8.26.1. linear(input, options)"}, {"refs": [{"id": "ref-for-mloperand\u2461\u2464\u2465"}, {"id": "ref-for-mloperand\u2461\u2464\u2466"}, {"id": "ref-for-mloperand\u2461\u2464\u2467"}, {"id": "ref-for-mloperand\u2461\u2464\u2468"}, {"id": "ref-for-mloperand\u2461\u2465\u24ea"}, {"id": "ref-for-mloperand\u2461\u2465\u2460"}, {"id": "ref-for-mloperand\u2461\u2465\u2461"}, {"id": "ref-for-mloperand\u2461\u2465\u2462"}, {"id": "ref-for-mloperand\u2461\u2465\u2463"}, {"id": "ref-for-mloperand\u2461\u2465\u2464"}, {"id": "ref-for-mloperand\u2461\u2465\u2465"}, {"id": "ref-for-mloperand\u2461\u2465\u2466"}, {"id": "ref-for-mloperand\u2461\u2465\u2467"}, {"id": "ref-for-mloperand\u2461\u2465\u2468"}, {"id": "ref-for-mloperand\u2461\u2466\u24ea"}, {"id": "ref-for-mloperand\u2461\u2466\u2460"}, {"id": "ref-for-mloperand\u2461\u2466\u2461"}, {"id": "ref-for-mloperand\u2461\u2466\u2462"}], "title": "7.8.27. lstm"}, {"refs": [{"id": "ref-for-mloperand\u2461\u2466\u2463"}, {"id": "ref-for-mloperand\u2461\u2466\u2464"}, {"id": "ref-for-mloperand\u2461\u2466\u2465"}, {"id": "ref-for-mloperand\u2461\u2466\u2466"}, {"id": "ref-for-mloperand\u2461\u2466\u2467"}, {"id": "ref-for-mloperand\u2461\u2466\u2468"}, {"id": "ref-for-mloperand\u2461\u2467\u24ea"}, {"id": "ref-for-mloperand\u2461\u2467\u2460"}, {"id": "ref-for-mloperand\u2461\u2467\u2461"}, {"id": "ref-for-mloperand\u2461\u2467\u2462"}, {"id": "ref-for-mloperand\u2461\u2467\u2463"}, {"id": "ref-for-mloperand\u2461\u2467\u2464"}, {"id": "ref-for-mloperand\u2461\u2467\u2465"}, {"id": "ref-for-mloperand\u2461\u2467\u2466"}, {"id": "ref-for-mloperand\u2461\u2467\u2467"}, {"id": "ref-for-mloperand\u2461\u2467\u2468"}, {"id": "ref-for-mloperand\u2461\u2468\u24ea"}, {"id": "ref-for-mloperand\u2461\u2468\u2460"}], "title": "7.8.28. lstmCell"}, {"refs": [{"id": "ref-for-mloperand\u2461\u2468\u2461"}, {"id": "ref-for-mloperand\u2461\u2468\u2462"}, {"id": "ref-for-mloperand\u2461\u2468\u2463"}, {"id": "ref-for-mloperand\u2461\u2468\u2464"}, {"id": "ref-for-mloperand\u2461\u2468\u2465"}, {"id": "ref-for-mloperand\u2461\u2468\u2466"}], "title": "7.8.29. matmul"}, {"refs": [{"id": "ref-for-mloperand\u2461\u2468\u2467"}, {"id": "ref-for-mloperand\u2461\u2468\u2468"}, {"id": "ref-for-mloperand\u2462\u24ea\u24ea"}, {"id": "ref-for-mloperand\u2462\u24ea\u2460"}], "title": "7.8.30. pad"}, {"refs": [{"id": "ref-for-mloperand\u2462\u24ea\u2461"}, {"id": "ref-for-mloperand\u2462\u24ea\u2462"}, {"id": "ref-for-mloperand\u2462\u24ea\u2463"}, {"id": "ref-for-mloperand\u2462\u24ea\u2464"}, {"id": "ref-for-mloperand\u2462\u24ea\u2465"}, {"id": "ref-for-mloperand\u2462\u24ea\u2466"}, {"id": "ref-for-mloperand\u2462\u24ea\u2467"}, {"id": "ref-for-mloperand\u2462\u24ea\u2468"}, {"id": "ref-for-mloperand\u2462\u2460\u24ea"}], "title": "7.8.31. 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@@ -9992,8 +9994,8 @@ <h2 class="no-num no-ref heading settled" id="issues-index"><span class="content
 window.dfnpanelData['dom-mlgraphbuilder-batchnormalization'] = {"dfnID": "dom-mlgraphbuilder-batchnormalization", "url": "#dom-mlgraphbuilder-batchnormalization", "dfnText": "batchNormalization(input, mean, variance, options)", "refSections": [{"refs": [{"id": "ref-for-dom-mlgraphbuilder-batchnormalization"}], "title": "7.7. MLActivation interface"}, {"refs": [{"id": "ref-for-dom-mlgraphbuilder-batchnormalization\u2460"}], "title": "7.8.6. batchNormalization"}, {"refs": [{"id": "ref-for-dom-mlgraphbuilder-batchnormalization\u2461"}], "title": "7.8.23. instanceNormalization"}, {"refs": [{"id": "ref-for-dom-mlgraphbuilder-batchnormalization\u2462"}], "title": "7.8.24. layerNormalization"}], "external": false};
 window.dfnpanelData['dom-mlgraphbuilder-cast'] = {"dfnID": "dom-mlgraphbuilder-cast", "url": "#dom-mlgraphbuilder-cast", "dfnText": "cast(input, type)", "refSections": [{"refs": [{"id": "ref-for-dom-mlgraphbuilder-cast"}], "title": "7.8.7. cast"}], "external": false};
 window.dfnpanelData['dictdef-mlclampoptions'] = {"dfnID": "dictdef-mlclampoptions", "url": "#dictdef-mlclampoptions", "dfnText": "MLClampOptions", "refSections": [{"refs": [{"id": "ref-for-dictdef-mlclampoptions"}, {"id": "ref-for-dictdef-mlclampoptions\u2460"}, {"id": "ref-for-dictdef-mlclampoptions\u2461"}], "title": "7.8.8. clamp"}, {"refs": [{"id": "ref-for-dictdef-mlclampoptions\u2462"}], "title": "7.8.8.1. clamp(input, options)"}, {"refs": [{"id": "ref-for-dictdef-mlclampoptions\u2463"}], "title": "7.8.8.2. clamp(options)"}], "external": false};
-window.dfnpanelData['dom-mlclampoptions-minvalue'] = {"dfnID": "dom-mlclampoptions-minvalue", "url": "#dom-mlclampoptions-minvalue", "dfnText": "minValue", "refSections": [{"refs": [{"id": "ref-for-dom-mlclampoptions-minvalue"}], "title": "7.8.8. clamp"}, {"refs": [{"id": "ref-for-dom-mlclampoptions-minvalue\u2460"}], "title": "7.8.8.1. clamp(input, options)"}], "external": false};
-window.dfnpanelData['dom-mlclampoptions-maxvalue'] = {"dfnID": "dom-mlclampoptions-maxvalue", "url": "#dom-mlclampoptions-maxvalue", "dfnText": "maxValue", "refSections": [{"refs": [{"id": "ref-for-dom-mlclampoptions-maxvalue"}], "title": "7.8.8. clamp"}, {"refs": [{"id": "ref-for-dom-mlclampoptions-maxvalue\u2460"}], "title": "7.8.8.1. clamp(input, options)"}], "external": false};
+window.dfnpanelData['dom-mlclampoptions-minvalue'] = {"dfnID": "dom-mlclampoptions-minvalue", "url": "#dom-mlclampoptions-minvalue", "dfnText": "minValue", "refSections": [{"refs": [{"id": "ref-for-dom-mlclampoptions-minvalue"}, {"id": "ref-for-dom-mlclampoptions-minvalue\u2460"}, {"id": "ref-for-dom-mlclampoptions-minvalue\u2461"}], "title": "7.8.8. clamp"}, {"refs": [{"id": "ref-for-dom-mlclampoptions-minvalue\u2462"}], "title": "7.8.8.1. clamp(input, options)"}], "external": false};
+window.dfnpanelData['dom-mlclampoptions-maxvalue'] = {"dfnID": "dom-mlclampoptions-maxvalue", "url": "#dom-mlclampoptions-maxvalue", "dfnText": "maxValue", "refSections": [{"refs": [{"id": "ref-for-dom-mlclampoptions-maxvalue"}, {"id": "ref-for-dom-mlclampoptions-maxvalue\u2460"}, {"id": "ref-for-dom-mlclampoptions-maxvalue\u2461"}], "title": "7.8.8. clamp"}, {"refs": [{"id": "ref-for-dom-mlclampoptions-maxvalue\u2462"}], "title": "7.8.8.1. clamp(input, options)"}], "external": false};
 window.dfnpanelData['check-clamp-options'] = {"dfnID": "check-clamp-options", "url": "#check-clamp-options", "dfnText": "check clamp options", "refSections": [{"refs": [{"id": "ref-for-check-clamp-options"}], "title": "7.8.8.1. clamp(input, options)"}, {"refs": [{"id": "ref-for-check-clamp-options\u2460"}], "title": "7.8.8.2. clamp(options)"}], "external": false};
 window.dfnpanelData['dom-mlgraphbuilder-clamp'] = {"dfnID": "dom-mlgraphbuilder-clamp", "url": "#dom-mlgraphbuilder-clamp", "dfnText": "clamp(input, options)", "refSections": [{"refs": [{"id": "ref-for-dom-mlgraphbuilder-clamp"}], "title": "7.8.8. clamp"}, {"refs": [{"id": "ref-for-dom-mlgraphbuilder-clamp\u2460"}], "title": "7.8.8.1. clamp(input, options)"}], "external": false};
 window.dfnpanelData['dom-mlgraphbuilder-clamp-options'] = {"dfnID": "dom-mlgraphbuilder-clamp-options", "url": "#dom-mlgraphbuilder-clamp-options", "dfnText": "clamp(options)", "refSections": [{"refs": [{"id": "ref-for-dom-mlgraphbuilder-clamp-options"}], "title": "7.8.8. clamp"}, {"refs": [{"id": "ref-for-dom-mlgraphbuilder-clamp-options\u2460"}], "title": "7.8.8.2. clamp(options)"}], "external": false};
@@ -10062,7 +10064,8 @@ <h2 class="no-num no-ref heading settled" id="issues-index"><span class="content
 window.dfnpanelData['dom-mlgraphbuilder-sin'] = {"dfnID": "dom-mlgraphbuilder-sin", "url": "#dom-mlgraphbuilder-sin", "dfnText": "sin(input)", "refSections": [{"refs": [{"id": "ref-for-dom-mlgraphbuilder-sin"}], "title": "7.8.14. Element-wise unary operations"}], "external": false};
 window.dfnpanelData['dom-mlgraphbuilder-sqrt'] = {"dfnID": "dom-mlgraphbuilder-sqrt", "url": "#dom-mlgraphbuilder-sqrt", "dfnText": "sqrt(input)", "refSections": [{"refs": [{"id": "ref-for-dom-mlgraphbuilder-sqrt"}], "title": "7.8.14. Element-wise unary operations"}], "external": false};
 window.dfnpanelData['dom-mlgraphbuilder-tan'] = {"dfnID": "dom-mlgraphbuilder-tan", "url": "#dom-mlgraphbuilder-tan", "dfnText": "tan(input)", "refSections": [{"refs": [{"id": "ref-for-dom-mlgraphbuilder-tan"}], "title": "7.8.14. Element-wise unary operations"}], "external": false};
-window.dfnpanelData['dictdef-mleluoptions'] = {"dfnID": "dictdef-mleluoptions", "url": "#dictdef-mleluoptions", "dfnText": "MLEluOptions", "refSections": [{"refs": [{"id": "ref-for-dictdef-mleluoptions"}, {"id": "ref-for-dictdef-mleluoptions\u2460"}], "title": "7.8.15. elu"}, {"refs": [{"id": "ref-for-dictdef-mleluoptions\u2461"}], "title": "7.8.15.1. elu(input, options)"}, {"refs": [{"id": "ref-for-dictdef-mleluoptions\u2462"}], "title": "7.8.15.2. elu(options)"}], "external": false};
+window.dfnpanelData['dictdef-mleluoptions'] = {"dfnID": "dictdef-mleluoptions", "url": "#dictdef-mleluoptions", "dfnText": "MLEluOptions", "refSections": [{"refs": [{"id": "ref-for-dictdef-mleluoptions"}, {"id": "ref-for-dictdef-mleluoptions\u2460"}, {"id": "ref-for-dictdef-mleluoptions\u2461"}], "title": "7.8.15. elu"}, {"refs": [{"id": "ref-for-dictdef-mleluoptions\u2462"}], "title": "7.8.15.1. elu(input, options)"}, {"refs": [{"id": "ref-for-dictdef-mleluoptions\u2463"}], "title": "7.8.15.2. elu(options)"}], "external": false};
+window.dfnpanelData['dom-mleluoptions-alpha'] = {"dfnID": "dom-mleluoptions-alpha", "url": "#dom-mleluoptions-alpha", "dfnText": "alpha", "refSections": [{"refs": [{"id": "ref-for-dom-mleluoptions-alpha"}], "title": "7.8.15. elu"}], "external": false};
 window.dfnpanelData['dom-mlgraphbuilder-elu'] = {"dfnID": "dom-mlgraphbuilder-elu", "url": "#dom-mlgraphbuilder-elu", "dfnText": "elu(input, options)", "refSections": [{"refs": [{"id": "ref-for-dom-mlgraphbuilder-elu"}], "title": "7.8.15. elu"}, {"refs": [{"id": "ref-for-dom-mlgraphbuilder-elu\u2460"}], "title": "7.8.15.1. elu(input, options)"}], "external": false};
 window.dfnpanelData['dom-mlgraphbuilder-elu-options'] = {"dfnID": "dom-mlgraphbuilder-elu-options", "url": "#dom-mlgraphbuilder-elu-options", "dfnText": "elu(options)", "refSections": [{"refs": [{"id": "ref-for-dom-mlgraphbuilder-elu-options"}], "title": "7.8.15. elu"}, {"refs": [{"id": "ref-for-dom-mlgraphbuilder-elu-options\u2460"}], "title": "7.8.15.2. elu(options)"}], "external": false};
 window.dfnpanelData['dom-mlgraphbuilder-expand'] = {"dfnID": "dom-mlgraphbuilder-expand", "url": "#dom-mlgraphbuilder-expand", "dfnText": "expand(input, newShape)", "refSections": [{"refs": [{"id": "ref-for-dom-mlgraphbuilder-expand"}], "title": "7.8.16. expand"}], "external": false};