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@@ -1018,7 +1018,7 @@
   <div class="head">
    <p data-fill-with="logo"><a class="logo" href="https://www.w3.org/"> <img alt="W3C" height="48" src="https://www.w3.org/StyleSheets/TR/2021/logos/W3C" width="72"> </a> </p>
    <h1 class="p-name no-ref" id="title">Web Neural Network API</h1>
-   <p id="w3c-state"><a href="https://www.w3.org/standards/types/#ED">Editor’s Draft</a>, <time class="dt-updated" datetime="2024-11-08">8 November 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="2024-11-09">9 November 2024</time></p>
    <details open>
     <summary>More details about this document</summary>
     <div data-fill-with="spec-metadata">
@@ -1076,7 +1076,7 @@ <h2 class="no-num no-toc no-ref heading settled" id="sotd"><span class="content"
 This document is maintained and
 updated at any time. Some parts of this document are work in progress and
 further improvements are expected to be reflected in revised Candidate
-Recommendation Drafts and Snaphots. </p>
+Recommendation Drafts and Snapshots. </p>
    <p>Before requesting transition to <a href="https://www.w3.org/standards/types#PR">Proposed Recommendation</a>, the Working Group will seek to demonstrate that:</p>
    <ul>
     <li>the API is implementable on top of existing APIs of major platforms, such as Android, Windows and macOS/iOS;
@@ -1960,7 +1960,7 @@ <h5 class="heading settled" data-level="7.3.2.1" id="api-mlcontext-compute-examp
    <h4 class="heading settled" data-level="7.3.3" id="api-mlcontext-opsupportlimits"><span class="secno">7.3.3. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dom-mlcontext-opsupportlimits" id="ref-for-dom-mlcontext-opsupportlimits">opSupportLimits()</a></code></span><a class="self-link" href="#api-mlcontext-opsupportlimits"></a></h4>
     The <code class="idl"><a data-link-type="idl" href="#dom-mlcontext-opsupportlimits" id="ref-for-dom-mlcontext-opsupportlimits①">opSupportLimits()</a></code> exposes level of support that differs across implementations at operator level. Consumers of the WebNN API are encouraged to probe feature support level by using <code class="idl"><a data-link-type="idl" href="#dom-mlcontext-opsupportlimits" id="ref-for-dom-mlcontext-opsupportlimits②">opSupportLimits()</a></code> to determine the optimal model architecture to be deployed for each target platform. 
    <h5 class="heading settled" data-level="7.3.3.1" id="api-mlcontext-opsupportlimits-dictionary"><span class="secno">7.3.3.1. </span><span class="content"><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits①">MLOpSupportLimits</a></code> dictionary</span><a class="self-link" href="#api-mlcontext-opsupportlimits-dictionary"></a></h5>
-    The <code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits②">MLOpSupportLimits</a></code> has following top level members, aside from these, each <a data-link-type="dfn" href="#operators" id="ref-for-operators⑦">operator</a> has a corresponding member defined in its builder method. 
+    The <code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits②">MLOpSupportLimits</a></code> has the following top level members, aside from these, each <a data-link-type="dfn" href="#operators" id="ref-for-operators⑦">operator</a> has a corresponding member defined in its builder method. 
 <pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlopsupportlimits"><code><c- g>MLOpSupportLimits</c-></code></dfn> {
   <a data-link-type="idl-name" href="#enumdef-mlinputoperandlayout" id="ref-for-enumdef-mlinputoperandlayout"><c- n>MLInputOperandLayout</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLInputOperandLayout" href="#dom-mlopsupportlimits-preferredinputlayout" id="ref-for-dom-mlopsupportlimits-preferredinputlayout"><c- g>preferredInputLayout</c-></a>;
   <a data-link-type="idl-name" href="#dictdef-mlsupportlimits" id="ref-for-dictdef-mlsupportlimits"><c- n>MLSupportLimits</c-></a> <a class="idl-code" data-link-type="dict-member" data-type="MLSupportLimits" href="#dom-mlopsupportlimits-input" id="ref-for-dom-mlopsupportlimits-input"><c- g>input</c-></a>;
@@ -2501,7 +2501,7 @@ <h4 class="heading settled" data-level="7.7.5" id="api-mlgraphbuilder-argminmax"
     </ul>
     <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑤⑧">MLOperand</a></code>. The N-D tensor of the reduced shape. The values must be of type <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlargminmaxoptions-outputdatatype" id="ref-for-dom-mlargminmaxoptions-outputdatatype①">outputDataType</a></code> in the range [0, N-1] where N is the size of the input dimension specified by axis.</p>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits④">MLOpSupportLimits</a></code> has following members for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-argmin" id="ref-for-dom-mlgraphbuilder-argmin①">argMin()</a></code> and <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-argmax" id="ref-for-dom-mlgraphbuilder-argmax①">argMax()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits④">MLOpSupportLimits</a></code> has the following members for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-argmin" id="ref-for-dom-mlgraphbuilder-argmin①">argMin()</a></code> and <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-argmax" id="ref-for-dom-mlgraphbuilder-argmax①">argMax()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-argmin"><code>argMin</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsingleinputsupportlimits" id="ref-for-dictdef-mlsingleinputsupportlimits③">MLSingleInputSupportLimits</a></span>
     <dd data-md>
@@ -2628,7 +2628,7 @@ <h4 class="heading settled" data-level="7.7.6" id="api-mlgraphbuilder-batchnorm"
     </ul>
     <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑦①">MLOperand</a></code>. The batch-normalized N-D tensor of the same shape as <em>input</em>.</p>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlbatchnormalizationsupportlimits" id="ref-for-dictdef-mlbatchnormalizationsupportlimits①">MLBatchNormalizationSupportLimits</a></code> has following members:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlbatchnormalizationsupportlimits" id="ref-for-dictdef-mlbatchnormalizationsupportlimits①">MLBatchNormalizationSupportLimits</a></code> has the following members:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLBatchNormalizationSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlbatchnormalizationsupportlimits-input"><code>input</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsupportlimits" id="ref-for-dictdef-mlsupportlimits②⑧">MLSupportLimits</a></span>
     <dd data-md>
@@ -2649,7 +2649,7 @@ <h4 class="heading settled" data-level="7.7.6" id="api-mlgraphbuilder-batchnorm"
     <dd data-md>
      <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlsupportlimits" id="ref-for-dictdef-mlsupportlimits③⑨">MLSupportLimits</a></code> for output operand.</p>
    </dl>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑥">MLOpSupportLimits</a></code> has following members for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-batchnormalization" id="ref-for-dom-mlgraphbuilder-batchnormalization①">batchNormalization()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑥">MLOpSupportLimits</a></code> has the following members for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-batchnormalization" id="ref-for-dom-mlgraphbuilder-batchnormalization①">batchNormalization()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-batchnormalization"><code>batchNormalization</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlbatchnormalizationsupportlimits" id="ref-for-dictdef-mlbatchnormalizationsupportlimits②">MLBatchNormalizationSupportLimits</a></span>
     <dd data-md>
@@ -2756,7 +2756,7 @@ <h4 class="heading settled" data-level="7.7.7" id="api-mlgraphbuilder-cast"><spa
     </ul>
     <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑦⑤">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>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑧">MLOpSupportLimits</a></code> has following members for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-cast" id="ref-for-dom-mlgraphbuilder-cast①">cast()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑧">MLOpSupportLimits</a></code> has the following members for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-cast" id="ref-for-dom-mlgraphbuilder-cast①">cast()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-cast"><code>cast</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsingleinputsupportlimits" id="ref-for-dictdef-mlsingleinputsupportlimits⑥">MLSingleInputSupportLimits</a></span>
     <dd data-md>
@@ -2851,7 +2851,7 @@ <h4 class="heading settled" data-level="7.7.8" id="api-mlgraphbuilder-clamp"><sp
       <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑦⑨">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
     </ul>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits①⓪">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-clamp" id="ref-for-dom-mlgraphbuilder-clamp②">clamp()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits①⓪">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-clamp" id="ref-for-dom-mlgraphbuilder-clamp②">clamp()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-clamp"><code>clamp</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsingleinputsupportlimits" id="ref-for-dictdef-mlsingleinputsupportlimits⑧">MLSingleInputSupportLimits</a></span>
     <dd data-md>
@@ -2951,7 +2951,7 @@ <h4 class="heading settled" data-level="7.7.9" id="api-mlgraphbuilder-concat"><s
     that all the inputs concatenated along. The size of that dimension is
     computed as the sum of all the input sizes of the same dimension.</p>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlconcatsupportlimits" id="ref-for-dictdef-mlconcatsupportlimits①">MLConcatSupportLimits</a></code> has following members:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlconcatsupportlimits" id="ref-for-dictdef-mlconcatsupportlimits①">MLConcatSupportLimits</a></code> has the following members:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLConcatSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlconcatsupportlimits-inputs"><code>inputs</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsupportlimits" id="ref-for-dictdef-mlsupportlimits④②">MLSupportLimits</a></span>
     <dd data-md>
@@ -2960,7 +2960,7 @@ <h4 class="heading settled" data-level="7.7.9" id="api-mlgraphbuilder-concat"><s
     <dd data-md>
      <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlsupportlimits" id="ref-for-dictdef-mlsupportlimits④⑤">MLSupportLimits</a></code> for output operand.</p>
    </dl>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits①②">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-concat" id="ref-for-dom-mlgraphbuilder-concat①">concat()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits①②">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-concat" id="ref-for-dom-mlgraphbuilder-concat①">concat()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-concat"><code>concat</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlconcatsupportlimits" id="ref-for-dictdef-mlconcatsupportlimits②">MLConcatSupportLimits</a></span>
     <dd data-md>
@@ -3136,7 +3136,7 @@ <h4 class="heading settled" data-level="7.7.10" id="api-mlgraphbuilder-conv2d"><
     <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑨①">MLOperand</a></code>. The output 4-D tensor that contains the convolution result. The output shape is interpreted according to the <em>options</em>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-inputlayout" id="ref-for-dom-mlconv2doptions-inputlayout②">inputLayout</a></code> value. More specifically, the spatial dimensions or the sizes of the last two dimensions of the output tensor for the <code class="idl"><a data-link-type="idl" href="#dom-mlinputoperandlayout-nchw" id="ref-for-dom-mlinputoperandlayout-nchw③">"nchw"</a></code> input layout can be calculated as follows:</p>
     <p><code>outputSize = 1 + (inputSize - (filterSize - 1) * dilation - 1 + beginningPadding + endingPadding) / stride</code></p>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlconv2dsupportlimits" id="ref-for-dictdef-mlconv2dsupportlimits①">MLConv2dSupportLimits</a></code> has following members:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlconv2dsupportlimits" id="ref-for-dictdef-mlconv2dsupportlimits①">MLConv2dSupportLimits</a></code> has the following members:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLConv2dSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlconv2dsupportlimits-input"><code>input</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsupportlimits" id="ref-for-dictdef-mlsupportlimits⑤⓪">MLSupportLimits</a></span>
     <dd data-md>
@@ -3151,7 +3151,7 @@ <h4 class="heading settled" data-level="7.7.10" id="api-mlgraphbuilder-conv2d"><
     <dd data-md>
      <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlsupportlimits" id="ref-for-dictdef-mlsupportlimits⑤⑦">MLSupportLimits</a></code> for output operand.</p>
    </dl>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits①④">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-conv2d" id="ref-for-dom-mlgraphbuilder-conv2d②">conv2d()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits①④">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-conv2d" id="ref-for-dom-mlgraphbuilder-conv2d②">conv2d()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-conv2d"><code>conv2d</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlconv2dsupportlimits" id="ref-for-dictdef-mlconv2dsupportlimits②">MLConv2dSupportLimits</a></span>
     <dd data-md>
@@ -3405,11 +3405,11 @@ <h4 class="heading settled" data-level="7.7.11" id="api-mlgraphbuilder-convtrans
     <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand⑨⑨">MLOperand</a></code>. The output 4-D tensor that contains the transposed convolution result. The output shape is interpreted according to the <em>options</em>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-inputlayout" id="ref-for-dom-mlconvtranspose2doptions-inputlayout②">inputLayout</a></code> value. More specifically, unless the <em>options</em>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-outputsizes" id="ref-for-dom-mlconvtranspose2doptions-outputsizes①">outputSizes</a></code> values are explicitly specified, the <em>options</em>.<code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2doptions-outputpadding" id="ref-for-dom-mlconvtranspose2doptions-outputpadding②">outputPadding</a></code> may be needed to compute the spatial dimension values of the output tensor as follows:</p>
     <p><code>outputSize = (inputSize - 1) * stride + (filterSize - 1) * dilation + 1 - beginningPadding - endingPadding + outputPadding</code></p>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits①⑥">MLOpSupportLimits</a></code> has following member for :</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits①⑥">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-convtranspose2d" id="ref-for-dom-mlgraphbuilder-convtranspose2d①">convTranspose2d()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-convtranspose2d"><code>convTranspose2d</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlconv2dsupportlimits" id="ref-for-dictdef-mlconv2dsupportlimits④">MLConv2dSupportLimits</a></span>
     <dd data-md>
-     <p>Support limits for operator <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-convtranspose2d" id="ref-for-dom-mlgraphbuilder-convtranspose2d①">convTranspose2d()</a></code>.</p>
+     <p>Support limits for operator <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-convtranspose2d" id="ref-for-dom-mlgraphbuilder-convtranspose2d②">convTranspose2d()</a></code>.</p>
    </dl>
    <details class="algorithm" data-algorithm="calculate convtranspose output size" data-algorithm-for="MLGraphBuilder" open>
     <summary> To <dfn class="dfn-paneled" data-dfn-for="MLGraphBuilder" data-dfn-type="dfn" data-noexport id="mlgraphbuilder-calculate-convtranspose-output-size">calculate convtranspose output size</dfn> given unsigned integers <var>inputSize</var>, <var>filterSize</var>, <var>beginningPadding</var>, <var>endingPadding</var>, <var>stride</var>, <var>dilation</var>, and <var>outputPadding</var>, perform these steps. They return a number. </summary>
@@ -3618,7 +3618,7 @@ <h4 class="heading settled" data-level="7.7.12" id="api-mlgraphbuilder-binary"><
       <p><em>pow</em>: Compute the values of the values of the first input tensor to the power of the values of the second input tensor, element-wise.</p>
     </ul>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits①⑧">MLOpSupportLimits</a></code> has following members for eleemntwise-binary operations:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits①⑧">MLOpSupportLimits</a></code> has the following members for elementwise-binary operations:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-add"><code>add</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlbinarysupportlimits" id="ref-for-dictdef-mlbinarysupportlimits⑧">MLBinarySupportLimits</a></span>
     <dd data-md>
@@ -3821,7 +3821,7 @@ <h4 class="heading settled" data-level="7.7.13" id="api-mlgraphbuilder-logical">
     </ul>
     <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①④⑤">MLOperand</a></code>. The output tensor that contains the result of element-wise comparison of the two input tensors.</p>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mllogicalnotsupportlimits" id="ref-for-dictdef-mllogicalnotsupportlimits①">MLLogicalNotSupportLimits</a></code> has following members:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mllogicalnotsupportlimits" id="ref-for-dictdef-mllogicalnotsupportlimits①">MLLogicalNotSupportLimits</a></code> has the following members:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLogicalNotSupportLimits" data-dfn-type="dict-member" data-export id="dom-mllogicalnotsupportlimits-a"><code>a</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsupportlimits" id="ref-for-dictdef-mlsupportlimits⑥⓪">MLSupportLimits</a></span>
     <dd data-md>
@@ -3830,7 +3830,7 @@ <h4 class="heading settled" data-level="7.7.13" id="api-mlgraphbuilder-logical">
     <dd data-md>
      <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlsupportlimits" id="ref-for-dictdef-mlsupportlimits⑥③">MLSupportLimits</a></code> for output operand.</p>
    </dl>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits②⓪">MLOpSupportLimits</a></code> has following members for element-wise logical operations:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits②⓪">MLOpSupportLimits</a></code> has the following members for element-wise logical operations:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-equal"><code>equal</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlbinarysupportlimits" id="ref-for-dictdef-mlbinarysupportlimits②⓪">MLBinarySupportLimits</a></span>
     <dd data-md>
@@ -4043,7 +4043,7 @@ <h4 class="heading settled" data-level="7.7.14" id="api-mlgraphbuilder-unary"><s
     element-wise unary operation of the input tensor. The shape of the output
     tensor is the same as the shape of input tensor.</p>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits②②">MLOpSupportLimits</a></code> has following members for element-wise unary operations:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits②②">MLOpSupportLimits</a></code> has the following members for element-wise unary operations:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-abs"><code>abs</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsingleinputsupportlimits" id="ref-for-dictdef-mlsingleinputsupportlimits②②">MLSingleInputSupportLimits</a></span>
     <dd data-md>
@@ -4351,7 +4351,7 @@ <h4 class="heading settled" data-level="7.7.15" id="api-mlgraphbuilder-elu"><spa
       <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑧⓪">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
     </ul>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits②④">MLOpSupportLimits</a></code> has following members for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-elu" id="ref-for-dom-mlgraphbuilder-elu①">elu()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits②④">MLOpSupportLimits</a></code> has the following members for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-elu" id="ref-for-dom-mlgraphbuilder-elu①">elu()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-elu"><code>elu</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsingleinputsupportlimits" id="ref-for-dictdef-mlsingleinputsupportlimits③⑥">MLSingleInputSupportLimits</a></span>
     <dd data-md>
@@ -4425,7 +4425,7 @@ <h4 class="heading settled" data-level="7.7.16" id="api-mlgraphbuilder-expand"><
     </ul>
     <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑧④">MLOperand</a></code>. The tensor with expanded size shape.</p>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits②⑥">MLOpSupportLimits</a></code> has following members for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-expand" id="ref-for-dom-mlgraphbuilder-expand①">expand()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits②⑥">MLOpSupportLimits</a></code> has the following members for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-expand" id="ref-for-dom-mlgraphbuilder-expand①">expand()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-expand"><code>expand</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsingleinputsupportlimits" id="ref-for-dictdef-mlsingleinputsupportlimits③⑧">MLSingleInputSupportLimits</a></span>
     <dd data-md>
@@ -4504,7 +4504,7 @@ <h4 class="heading settled" data-level="7.7.17" id="api-mlgraphbuilder-gather"><
     </ul>
     <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑨⓪">MLOperand</a></code>. The output N-D tensor of <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank①⑦">rank</a> equal to the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank①⑧">rank</a> of <em>input</em> + the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank①⑨">rank</a> of <em>indices</em> - 1.</p>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlgathersupportlimits" id="ref-for-dictdef-mlgathersupportlimits①">MLGatherSupportLimits</a></code> has following members:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlgathersupportlimits" id="ref-for-dictdef-mlgathersupportlimits①">MLGatherSupportLimits</a></code> has the following members:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGatherSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlgathersupportlimits-input"><code>input</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsupportlimits" id="ref-for-dictdef-mlsupportlimits⑥⑦">MLSupportLimits</a></span>
     <dd data-md>
@@ -4516,7 +4516,7 @@ <h4 class="heading settled" data-level="7.7.17" id="api-mlgraphbuilder-gather"><
     <dd data-md>
      <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlsupportlimits" id="ref-for-dictdef-mlsupportlimits⑦②">MLSupportLimits</a></code> for output operand.</p>
    </dl>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits②⑧">MLOpSupportLimits</a></code> has following members for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-gather" id="ref-for-dom-mlgraphbuilder-gather①">gather()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits②⑧">MLOpSupportLimits</a></code> has the following members for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-gather" id="ref-for-dom-mlgraphbuilder-gather①">gather()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-gather"><code>gather</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlgathersupportlimits" id="ref-for-dictdef-mlgathersupportlimits②">MLGatherSupportLimits</a></span>
     <dd data-md>
@@ -4679,7 +4679,7 @@ <h4 class="heading settled" data-level="7.7.18" id="api-mlgraphbuilder-gelu-meth
       <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑨④">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
     </ul>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits③⓪">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-gelu" id="ref-for-dom-mlgraphbuilder-gelu①">gelu()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits③⓪">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-gelu" id="ref-for-dom-mlgraphbuilder-gelu①">gelu()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-gelu"><code>gelu</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsingleinputsupportlimits" id="ref-for-dictdef-mlsingleinputsupportlimits④⓪">MLSingleInputSupportLimits</a></span>
     <dd data-md>
@@ -4781,7 +4781,7 @@ <h4 class="heading settled" data-level="7.7.19" id="api-mlgraphbuilder-gemm"><sp
     </ul>
     <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⓪②">MLOperand</a></code>. The output 2-D tensor of shape <em>[M, N]</em> that contains the calculated product of all the inputs.</p>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlgemmsupportlimits" id="ref-for-dictdef-mlgemmsupportlimits①">MLGemmSupportLimits</a></code> has following members:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlgemmsupportlimits" id="ref-for-dictdef-mlgemmsupportlimits①">MLGemmSupportLimits</a></code> has the following members:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGemmSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlgemmsupportlimits-a"><code>a</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsupportlimits" id="ref-for-dictdef-mlsupportlimits⑦⑦">MLSupportLimits</a></span>
     <dd data-md>
@@ -4796,7 +4796,7 @@ <h4 class="heading settled" data-level="7.7.19" id="api-mlgraphbuilder-gemm"><sp
     <dd data-md>
      <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlsupportlimits" id="ref-for-dictdef-mlsupportlimits⑧④">MLSupportLimits</a></code> for output operand.</p>
    </dl>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits③②">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-gemm" id="ref-for-dom-mlgraphbuilder-gemm②">gemm()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits③②">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-gemm" id="ref-for-dom-mlgraphbuilder-gemm②">gemm()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-gemm"><code>gemm</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlgemmsupportlimits" id="ref-for-dictdef-mlgemmsupportlimits②">MLGemmSupportLimits</a></span>
     <dd data-md>
@@ -4980,7 +4980,7 @@ <h4 class="heading settled" data-level="7.7.20" id="api-mlgraphbuilder-gru"><spa
     </ul>
     <p><strong>Returns:</strong> <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①⑥">sequence</a>&lt;<code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②①⑥">MLOperand</a></code>>. The first element is a 3-D tensor of shape <em>[numDirections, batchSize, hiddenSize]</em>, the cell output from the last time step of the network. Additionally, if <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlgruoptions-returnsequence" id="ref-for-dom-mlgruoptions-returnsequence①">returnSequence</a></code> is set to true, the second element is the 4-D output tensor of shape <em>[steps, numDirections, batchSize, hiddenSize]</em> containing every cell outputs from each time step in the temporal sequence.</p>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlgrusupportlimits" id="ref-for-dictdef-mlgrusupportlimits①">MLGruSupportLimits</a></code> has following members:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlgrusupportlimits" id="ref-for-dictdef-mlgrusupportlimits①">MLGruSupportLimits</a></code> has the following members:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGruSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlgrusupportlimits-input"><code>input</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsupportlimits" id="ref-for-dictdef-mlsupportlimits⑨②">MLSupportLimits</a></span>
     <dd data-md>
@@ -5004,7 +5004,7 @@ <h4 class="heading settled" data-level="7.7.20" id="api-mlgraphbuilder-gru"><spa
     <dd data-md>
      <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlsupportlimits" id="ref-for-dictdef-mlsupportlimits①⓪⑤">MLSupportLimits</a></code> for all the output operands.</p>
    </dl>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits③④">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-gru" id="ref-for-dom-mlgraphbuilder-gru①">gru()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits③④">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-gru" id="ref-for-dom-mlgraphbuilder-gru①">gru()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-gru"><code>gru</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlgrusupportlimits" id="ref-for-dictdef-mlgrusupportlimits②">MLGruSupportLimits</a></span>
     <dd data-md>
@@ -5303,7 +5303,7 @@ <h4 class="heading settled" data-level="7.7.21" id="api-mlgraphbuilder-grucell">
     </ul>
     <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②③⓪">MLOperand</a></code>. The 2-D tensor of shape <em>[batchSize, hiddenSize]</em>, the cell output hidden state of a single time step of the recurrent network.</p>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlgrucellsupportlimits" id="ref-for-dictdef-mlgrucellsupportlimits①">MLGruCellSupportLimits</a></code> has following members;</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlgrucellsupportlimits" id="ref-for-dictdef-mlgrucellsupportlimits①">MLGruCellSupportLimits</a></code> has the following members;</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLGruCellSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlgrucellsupportlimits-input"><code>input</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsupportlimits" id="ref-for-dictdef-mlsupportlimits①①③">MLSupportLimits</a></span>
     <dd data-md>
@@ -5327,7 +5327,7 @@ <h4 class="heading settled" data-level="7.7.21" id="api-mlgraphbuilder-grucell">
     <dd data-md>
      <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlsupportlimits" id="ref-for-dictdef-mlsupportlimits①②⑥">MLSupportLimits</a></code> for output operand.</p>
    </dl>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits③⑥">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-grucell" id="ref-for-dom-mlgraphbuilder-grucell①">gruCell()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits③⑥">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-grucell" id="ref-for-dom-mlgraphbuilder-grucell①">gruCell()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-grucell"><code>gruCell</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlgrucellsupportlimits" id="ref-for-dictdef-mlgrucellsupportlimits②">MLGruCellSupportLimits</a></span>
     <dd data-md>
@@ -5556,7 +5556,7 @@ <h4 class="heading settled" data-level="7.7.22" id="api-mlgraphbuilder-hard-sigm
       <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②③④">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
     </ul>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits③⑧">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-hardsigmoid" id="ref-for-dom-mlgraphbuilder-hardsigmoid①">hardSigmoid()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits③⑧">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-hardsigmoid" id="ref-for-dom-mlgraphbuilder-hardsigmoid①">hardSigmoid()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-hardsigmoid"><code>hardSigmoid</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsingleinputsupportlimits" id="ref-for-dictdef-mlsingleinputsupportlimits④②">MLSingleInputSupportLimits</a></span>
     <dd data-md>
@@ -5632,7 +5632,7 @@ <h4 class="heading settled" data-level="7.7.23" id="api-mlgraphbuilder-hard-swis
       <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②③⑧">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
     </ul>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits④⓪">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-hardswish" id="ref-for-dom-mlgraphbuilder-hardswish①">hardSwish()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits④⓪">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-hardswish" id="ref-for-dom-mlgraphbuilder-hardswish①">hardSwish()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-hardswish"><code>hardSwish</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsingleinputsupportlimits" id="ref-for-dictdef-mlsingleinputsupportlimits④④">MLSingleInputSupportLimits</a></span>
     <dd data-md>
@@ -5732,7 +5732,7 @@ <h4 class="heading settled" data-level="7.7.24" id="api-mlgraphbuilder-instancen
     </ul>
     <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②④⑥">MLOperand</a></code>. The instance-normalized 4-D tensor of the same shape as <em>input</em>.</p>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlnormalizationsupportlimits" id="ref-for-dictdef-mlnormalizationsupportlimits①">MLNormalizationSupportLimits</a></code> has following members:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlnormalizationsupportlimits" id="ref-for-dictdef-mlnormalizationsupportlimits①">MLNormalizationSupportLimits</a></code> has the following members:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLNormalizationSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlnormalizationsupportlimits-input"><code>input</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsupportlimits" id="ref-for-dictdef-mlsupportlimits①③①">MLSupportLimits</a></span>
     <dd data-md>
@@ -5747,7 +5747,7 @@ <h4 class="heading settled" data-level="7.7.24" id="api-mlgraphbuilder-instancen
     <dd data-md>
      <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlsupportlimits" id="ref-for-dictdef-mlsupportlimits①③⑧">MLSupportLimits</a></code> for output operand.</p>
    </dl>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits④②">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-instancenormalization" id="ref-for-dom-mlgraphbuilder-instancenormalization①">instanceNormalization()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits④②">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-instancenormalization" id="ref-for-dom-mlgraphbuilder-instancenormalization①">instanceNormalization()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-instancenormalization"><code>instanceNormalization</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlnormalizationsupportlimits" id="ref-for-dictdef-mlnormalizationsupportlimits②">MLNormalizationSupportLimits</a></span>
     <dd data-md>
@@ -5876,7 +5876,7 @@ <h4 class="heading settled" data-level="7.7.25" id="api-mlgraphbuilder-layernorm
     </ul>
     <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑤④">MLOperand</a></code>. The layer-normalized N-D tensor of the same shape as <em>input</em>.</p>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits④④">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-layernormalization" id="ref-for-dom-mlgraphbuilder-layernormalization①">layerNormalization()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits④④">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-layernormalization" id="ref-for-dom-mlgraphbuilder-layernormalization①">layerNormalization()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-layernormalization"><code>layerNormalization</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlnormalizationsupportlimits" id="ref-for-dictdef-mlnormalizationsupportlimits④">MLNormalizationSupportLimits</a></span>
     <dd data-md>
@@ -6018,7 +6018,7 @@ <h4 class="heading settled" data-level="7.7.26" id="api-mlgraphbuilder-leakyrelu
       <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑤⑧">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
     </ul>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits④⑥">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-leakyrelu" id="ref-for-dom-mlgraphbuilder-leakyrelu①">leakyRelu()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits④⑥">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-leakyrelu" id="ref-for-dom-mlgraphbuilder-leakyrelu①">leakyRelu()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-leakyrelu"><code>leakyRelu</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsingleinputsupportlimits" id="ref-for-dictdef-mlsingleinputsupportlimits④⑥">MLSingleInputSupportLimits</a></span>
     <dd data-md>
@@ -6104,7 +6104,7 @@ <h4 class="heading settled" data-level="7.7.27" id="api-mlgraphbuilder-linear"><
       <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑥②">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
     </ul>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits④⑧">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-linear" id="ref-for-dom-mlgraphbuilder-linear①">linear()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits④⑧">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-linear" id="ref-for-dom-mlgraphbuilder-linear①">linear()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-linear"><code>linear</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsingleinputsupportlimits" id="ref-for-dictdef-mlsingleinputsupportlimits④⑧">MLSingleInputSupportLimits</a></span>
     <dd data-md>
@@ -6245,7 +6245,7 @@ <h4 class="heading settled" data-level="7.7.28" id="api-mlgraphbuilder-lstm"><sp
     </ul>
     <p><strong>Returns:</strong> <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②①">sequence</a>&lt;<code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑧⓪">MLOperand</a></code>>. The first element is a 3-D tensor of shape <em>[numDirections, batchSize, hiddenSize]</em>, the output hidden state from the last time step of the network. The second element is a 3-D tensor of shape <em>[numDirections, batchSize, hiddenSize]</em>, the output cell state from the last time step of the network. Additionally, if <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mllstmoptions-returnsequence" id="ref-for-dom-mllstmoptions-returnsequence①">returnSequence</a></code> is set to true, the third element is the 4-D output tensor of shape <em>[steps, numDirections, batchSize, hiddenSize]</em> containing every output from each time step in the temporal sequence.</p>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mllstmsupportlimits" id="ref-for-dictdef-mllstmsupportlimits①">MLLstmSupportLimits</a></code> has following members:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mllstmsupportlimits" id="ref-for-dictdef-mllstmsupportlimits①">MLLstmSupportLimits</a></code> has the following members:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLstmSupportLimits" data-dfn-type="dict-member" data-export id="dom-mllstmsupportlimits-input"><code>input</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsupportlimits" id="ref-for-dictdef-mlsupportlimits①④⑧">MLSupportLimits</a></span>
     <dd data-md>
@@ -6275,7 +6275,7 @@ <h4 class="heading settled" data-level="7.7.28" id="api-mlgraphbuilder-lstm"><sp
     <dd data-md>
      <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlsupportlimits" id="ref-for-dictdef-mlsupportlimits①⑥⑤">MLSupportLimits</a></code> for all the output operands.</p>
    </dl>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑤⓪">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-lstm" id="ref-for-dom-mlgraphbuilder-lstm①">lstm()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑤⓪">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-lstm" id="ref-for-dom-mlgraphbuilder-lstm①">lstm()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-lstm"><code>lstm</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mllstmsupportlimits" id="ref-for-dictdef-mllstmsupportlimits②">MLLstmSupportLimits</a></span>
     <dd data-md>
@@ -6630,7 +6630,7 @@ <h4 class="heading settled" data-level="7.7.29" id="api-mlgraphbuilder-lstmcell"
     </ul>
     <p><strong>Returns:</strong> <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②④">sequence</a>&lt;<code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⑨⑧">MLOperand</a></code>>. The first element is the output hidden state of the current time step of the recurrent network. The following element is the output cell state. Both elements are 2-D tensors of shape <em>[batchSize, hiddenSize]</em>.</p>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mllstmcellsupportlimits" id="ref-for-dictdef-mllstmcellsupportlimits①">MLLstmCellSupportLimits</a></code> has following members:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mllstmcellsupportlimits" id="ref-for-dictdef-mllstmcellsupportlimits①">MLLstmCellSupportLimits</a></code> has the following members:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLLstmCellSupportLimits" data-dfn-type="dict-member" data-export id="dom-mllstmcellsupportlimits-input"><code>input</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsupportlimits" id="ref-for-dictdef-mlsupportlimits①⑦⑤">MLSupportLimits</a></span>
     <dd data-md>
@@ -6660,7 +6660,7 @@ <h4 class="heading settled" data-level="7.7.29" id="api-mlgraphbuilder-lstmcell"
     <dd data-md>
      <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlsupportlimits" id="ref-for-dictdef-mlsupportlimits①⑨②">MLSupportLimits</a></code> for all the output operands.</p>
    </dl>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑤②">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-lstmcell" id="ref-for-dom-mlgraphbuilder-lstmcell①">lstmCell()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑤②">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-lstmcell" id="ref-for-dom-mlgraphbuilder-lstmcell①">lstmCell()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-lstmcell"><code>lstmCell</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mllstmcellsupportlimits" id="ref-for-dictdef-mllstmcellsupportlimits②">MLLstmCellSupportLimits</a></span>
     <dd data-md>
@@ -6926,7 +6926,7 @@ <h4 class="heading settled" data-level="7.7.30" id="api-mlgraphbuilder-matmul"><
       <p>If either <em>a</em> or <em>b</em> is <code>N</code>-dimensional where <code>N > 2</code>, it is treated as a stack of matrices with dimensions corresponding to the last two indices. The matrix multiplication will be <a data-link-type="dfn" href="#broadcasting" id="ref-for-broadcasting②">broadcast</a> according to <a data-link-type="biblio" href="#biblio-numpy-broadcasting-rule" title="General Broadcasting Rules of NumPy">[numpy-broadcasting-rule]</a>. The shapes of <em>a</em> and <em>b</em>, except the last two dimensions, must be <a data-link-type="dfn" href="#bidirectionally-broadcastable" id="ref-for-bidirectionally-broadcastable②">bidirectionally broadcastable</a>. The output is a <code>N</code>-dimensional tensor whose rank is the maximum <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank③④">rank</a> of the input tensors. For each dimension, except the last two, of the output tensor, its size is the maximum size along that dimension of the input tensors.</p>
     </ul>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑤④">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-matmul" id="ref-for-dom-mlgraphbuilder-matmul①">matmul()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑤④">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-matmul" id="ref-for-dom-mlgraphbuilder-matmul①">matmul()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-matmul"><code>matmul</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlbinarysupportlimits" id="ref-for-dictdef-mlbinarysupportlimits②⑥">MLBinarySupportLimits</a></span>
     <dd data-md>
@@ -7053,7 +7053,7 @@ <h4 class="heading settled" data-level="7.7.31" id="api-mlgraphbuilder-pad"><spa
     <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③①⓪">MLOperand</a></code>. The padded output tensor. Each dimension of the output tensor can be calculated as follows:</p>
     <p><code>output size = beginning padding + input size + ending padding</code></p>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑤⑥">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-pad" id="ref-for-dom-mlgraphbuilder-pad①">pad()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑤⑥">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-pad" id="ref-for-dom-mlgraphbuilder-pad①">pad()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-pad"><code>pad</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsingleinputsupportlimits" id="ref-for-dictdef-mlsingleinputsupportlimits⑤⓪">MLSingleInputSupportLimits</a></span>
     <dd data-md>
@@ -7253,7 +7253,7 @@ <h4 class="heading settled" data-level="7.7.32" id="api-mlgraphbuilder-pool2d"><
     <p>or if <em>options.roundingType</em> is <code class="idl"><a data-link-type="idl" href="#dom-mlroundingtype-ceil" id="ref-for-dom-mlroundingtype-ceil">"ceil"</a></code>:</p>
     <p><code>output size = ceil(1 + (input size - filter size + beginning padding + ending padding) / stride)</code></p>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑤⑧">MLOpSupportLimits</a></code> has following members for pooling operations:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑤⑧">MLOpSupportLimits</a></code> has the following members for pooling operations:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-averagepool2d"><code>averagePool2d</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsingleinputsupportlimits" id="ref-for-dictdef-mlsingleinputsupportlimits⑤④">MLSingleInputSupportLimits</a></span>
     <dd data-md>
@@ -7476,7 +7476,7 @@ <h4 class="heading settled" data-level="7.7.33" id="api-mlgraphbuilder-prelu"><s
       <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③②⑤">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
     </ul>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlprelusupportlimits" id="ref-for-dictdef-mlprelusupportlimits①">MLPreluSupportLimits</a></code> has following members:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlprelusupportlimits" id="ref-for-dictdef-mlprelusupportlimits①">MLPreluSupportLimits</a></code> has the following members:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLPreluSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlprelusupportlimits-input"><code>input</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsupportlimits" id="ref-for-dictdef-mlsupportlimits①⑨⑥">MLSupportLimits</a></span>
     <dd data-md>
@@ -7488,7 +7488,7 @@ <h4 class="heading settled" data-level="7.7.33" id="api-mlgraphbuilder-prelu"><s
     <dd data-md>
      <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlsupportlimits" id="ref-for-dictdef-mlsupportlimits②⓪①">MLSupportLimits</a></code> for output operand.</p>
    </dl>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑥⓪">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-prelu" id="ref-for-dom-mlgraphbuilder-prelu①">prelu()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑥⓪">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-prelu" id="ref-for-dom-mlgraphbuilder-prelu①">prelu()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-prelu"><code>prelu</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlprelusupportlimits" id="ref-for-dictdef-mlprelusupportlimits②">MLPreluSupportLimits</a></span>
     <dd data-md>
@@ -7598,7 +7598,7 @@ <h4 class="heading settled" data-level="7.7.34" id="api-mlgraphbuilder-reduce"><
     </ul>
     <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③④⑦">MLOperand</a></code>. The reduced output tensor. If the input operand is a scalar, the reduction function is applied to the scalar value, and the output is also a scalar.</p>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑥②">MLOpSupportLimits</a></code> has following members for reduction operations:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑥②">MLOpSupportLimits</a></code> has the following members for reduction operations:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-reducel1"><code>reduceL1</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsingleinputsupportlimits" id="ref-for-dictdef-mlsingleinputsupportlimits⑥⑦">MLSingleInputSupportLimits</a></span>
     <dd data-md>
@@ -7901,7 +7901,7 @@ <h4 class="heading settled" data-level="7.7.35" id="api-mlgraphbuilder-relu-meth
       <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑤②">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
     </ul>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑥④">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-relu" id="ref-for-dom-mlgraphbuilder-relu②">relu()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑥④">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-relu" id="ref-for-dom-mlgraphbuilder-relu②">relu()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-relu"><code>relu</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsingleinputsupportlimits" id="ref-for-dictdef-mlsingleinputsupportlimits⑦⑧">MLSingleInputSupportLimits</a></span>
     <dd data-md>
@@ -7983,19 +7983,19 @@ <h4 class="heading settled" data-level="7.7.36" 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-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-float①">float</a>></span>
     <dd data-md>
      <p>A list of length 2.
-Specifies the scaling factor for each input dimension from <code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-axes" id="ref-for-dom-mlresample2doptions-axes①">axes</a></code> : <em>[scaleForFirstAxis, scaleForSecondAxis]</em>.
+Specifies the scaling factor for each input dimension from <code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-axes" id="ref-for-dom-mlresample2doptions-axes①">axes</a></code>: <em>[scaleForFirstAxis, scaleForSecondAxis]</em>.
 The default value is [1.0, 1.0].</p>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLResample2dOptions" data-dfn-type="dict-member" data-export id="dom-mlresample2doptions-sizes"><code>sizes</code></dfn>, <span> of type <code class="idl-code">sequence&lt;[EnforceRange] unsigned long></code></span>
     <dd data-md>
      <p>A list of length 2.
-Specifies the target sizes for each input dimension from <code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-axes" id="ref-for-dom-mlresample2doptions-axes②">axes</a></code> : <em>[sizeForFirstAxis, ForSecondAxis]</em>. When the target sizes are specified, the <code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-scales" id="ref-for-dom-mlresample2doptions-scales①">scales</a></code> argument is ignored, since the scaling factor values are derived from the target sizes of the input.</p>
+Specifies the target sizes for each input dimension from <code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-axes" id="ref-for-dom-mlresample2doptions-axes②">axes</a></code>: <em>[sizeForFirstAxis, sizeForSecondAxis]</em>. When the target sizes are specified, the <code class="idl"><a data-link-type="idl" href="#dom-mlresample2doptions-scales" id="ref-for-dom-mlresample2doptions-scales①">scales</a></code> argument is ignored, since the scaling factor values are derived from the target sizes of the input.</p>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLResample2dOptions" data-dfn-type="dict-member" data-export id="dom-mlresample2doptions-axes"><code>axes</code></dfn>, <span> of type <code class="idl-code">sequence&lt;[EnforceRange] unsigned long></code></span>
     <dd data-md>
      <p>A list of length 2.
 Specifies the two dimensions of the input tensor to which the interpolation algorithm applies.
 The default value is [2, 3].</p>
    </dl>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑥⑥">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-resample2d" id="ref-for-dom-mlgraphbuilder-resample2d①">resample2d()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑥⑥">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-resample2d" id="ref-for-dom-mlgraphbuilder-resample2d①">resample2d()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-resample2d"><code>resample2d</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsingleinputsupportlimits" id="ref-for-dictdef-mlsingleinputsupportlimits⑧⓪">MLSingleInputSupportLimits</a></span>
     <dd data-md>
@@ -8102,7 +8102,7 @@ <h4 class="heading settled" data-level="7.7.37" id="api-mlgraphbuilder-reshape-m
     tensor are the same as values of the input tensor. The shape of the output
     tensor is specified by the <em>newShape</em> argument.</p>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑥⑧">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-reshape" id="ref-for-dom-mlgraphbuilder-reshape①">reshape()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑥⑧">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-reshape" id="ref-for-dom-mlgraphbuilder-reshape①">reshape()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-reshape"><code>reshape</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsingleinputsupportlimits" id="ref-for-dictdef-mlsingleinputsupportlimits⑧②">MLSingleInputSupportLimits</a></span>
     <dd data-md>
@@ -8171,7 +8171,7 @@ <h4 class="heading settled" data-level="7.7.38" id="api-mlgraphbuilder-sigmoid-m
       <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑥⑤">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
     </ul>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑦⓪">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-sigmoid" id="ref-for-dom-mlgraphbuilder-sigmoid③">sigmoid()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑦⓪">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-sigmoid" id="ref-for-dom-mlgraphbuilder-sigmoid③">sigmoid()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-sigmoid"><code>sigmoid</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsingleinputsupportlimits" id="ref-for-dictdef-mlsingleinputsupportlimits⑧④">MLSingleInputSupportLimits</a></span>
     <dd data-md>
@@ -8243,7 +8243,7 @@ <h4 class="heading settled" data-level="7.7.39" id="api-mlgraphbuilder-slice"><s
     </ul>
     <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑥⑨">MLOperand</a></code>. The output tensor of the same rank as the input tensor with tensor values stripped to the specified starting and ending indices in each dimension.</p>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑦②">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-slice" id="ref-for-dom-mlgraphbuilder-slice①">slice()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑦②">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-slice" id="ref-for-dom-mlgraphbuilder-slice①">slice()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-slice"><code>slice</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsingleinputsupportlimits" id="ref-for-dictdef-mlsingleinputsupportlimits⑧⑥">MLSingleInputSupportLimits</a></span>
     <dd data-md>
@@ -8318,7 +8318,7 @@ <h4 class="heading settled" data-level="7.7.40" id="api-mlgraphbuilder-softmax-m
       <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑦③">MLOperand</a></code>. The output N-D tensor that contains the softmax results, of the same shape as <em>input</em>.</p>
     </ul>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑦④">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-softmax" id="ref-for-dom-mlgraphbuilder-softmax①">softmax()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑦④">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-softmax" id="ref-for-dom-mlgraphbuilder-softmax①">softmax()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-softmax"><code>softmax</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsingleinputsupportlimits" id="ref-for-dictdef-mlsingleinputsupportlimits⑧⑧">MLSingleInputSupportLimits</a></span>
     <dd data-md>
@@ -8394,7 +8394,7 @@ <h4 class="heading settled" data-level="7.7.41" id="api-mlgraphbuilder-softplus-
       <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑦⑦">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
     </ul>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑦⑥">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-softplus" id="ref-for-dom-mlgraphbuilder-softplus①">softplus()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑦⑥">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-softplus" id="ref-for-dom-mlgraphbuilder-softplus①">softplus()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-softplus"><code>softplus</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsingleinputsupportlimits" id="ref-for-dictdef-mlsingleinputsupportlimits⑨⓪">MLSingleInputSupportLimits</a></span>
     <dd data-md>
@@ -8472,7 +8472,7 @@ <h4 class="heading settled" data-level="7.7.42" id="api-mlgraphbuilder-softsign-
       <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑧①">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
     </ul>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑦⑧">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-softsign" id="ref-for-dom-mlgraphbuilder-softsign①">softsign()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑦⑧">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-softsign" id="ref-for-dom-mlgraphbuilder-softsign①">softsign()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-softsign"><code>softsign</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsingleinputsupportlimits" id="ref-for-dictdef-mlsingleinputsupportlimits⑨②">MLSingleInputSupportLimits</a></span>
     <dd data-md>
@@ -8545,7 +8545,7 @@ <h4 class="heading settled" data-level="7.7.43" id="api-mlgraphbuilder-split"><s
     <dd data-md>
      <p>The dimension along which to split. Its value must be in the range [0, N-1] where N is the <a data-link-type="dfn" href="#mloperand-rank" id="ref-for-mloperand-rank⑤③">rank</a> of the input tensor.</p>
    </dl>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlsplitsupportlimits" id="ref-for-dictdef-mlsplitsupportlimits①">MLSplitSupportLimits</a></code> has following members:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlsplitsupportlimits" id="ref-for-dictdef-mlsplitsupportlimits①">MLSplitSupportLimits</a></code> has the following members:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLSplitSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlsplitsupportlimits-input"><code>input</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsupportlimits" id="ref-for-dictdef-mlsupportlimits②⓪④">MLSupportLimits</a></span>
     <dd data-md>
@@ -8554,7 +8554,7 @@ <h4 class="heading settled" data-level="7.7.43" id="api-mlgraphbuilder-split"><s
     <dd data-md>
      <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlsupportlimits" id="ref-for-dictdef-mlsupportlimits②⓪⑦">MLSupportLimits</a></code> for all the output operands.</p>
    </dl>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑧⓪">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-split" id="ref-for-dom-mlgraphbuilder-split①">split()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑧⓪">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-split" id="ref-for-dom-mlgraphbuilder-split①">split()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-split"><code>split</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsplitsupportlimits" id="ref-for-dictdef-mlsplitsupportlimits②">MLSplitSupportLimits</a></span>
     <dd data-md>
@@ -8668,7 +8668,7 @@ <h4 class="heading settled" data-level="7.7.44" id="api-mlgraphbuilder-tanh-meth
       <p>an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑧⑨">MLOperand</a></code>. The output tensor of the same shape as <em>input</em>.</p>
     </ul>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑧②">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-tanh" id="ref-for-dom-mlgraphbuilder-tanh③">tanh()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑧②">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-tanh" id="ref-for-dom-mlgraphbuilder-tanh③">tanh()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-tanh"><code>tanh</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsingleinputsupportlimits" id="ref-for-dictdef-mlsingleinputsupportlimits⑨④">MLSingleInputSupportLimits</a></span>
     <dd data-md>
@@ -8748,7 +8748,7 @@ <h4 class="heading settled" data-level="7.7.45" id="api-mlgraphbuilder-transpose
     </ul>
     <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑨③">MLOperand</a></code>. The permuted or transposed N-D tensor.</p>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑧④">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-transpose" id="ref-for-dom-mlgraphbuilder-transpose①">transpose()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑧④">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-transpose" id="ref-for-dom-mlgraphbuilder-transpose①">transpose()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-transpose"><code>transpose</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsingleinputsupportlimits" id="ref-for-dictdef-mlsingleinputsupportlimits⑨⑥">MLSingleInputSupportLimits</a></span>
     <dd data-md>
@@ -8825,7 +8825,7 @@ <h4 class="heading settled" data-level="7.7.46" id="api-mlgraphbuilder-triangula
     </ul>
     <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand③⑨⑦">MLOperand</a></code>. The output tensor representing a triangular matrix, or batch of matrices which is the same shape as the input.</p>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑧⑥">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-triangular" id="ref-for-dom-mlgraphbuilder-triangular①">triangular()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑧⑥">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-triangular" id="ref-for-dom-mlgraphbuilder-triangular①">triangular()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-triangular"><code>triangular</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsingleinputsupportlimits" id="ref-for-dictdef-mlsingleinputsupportlimits⑨⑧">MLSingleInputSupportLimits</a></span>
     <dd data-md>
@@ -8951,7 +8951,7 @@ <h4 class="heading settled" data-level="7.7.47" id="api-mlgraphbuilder-where"><s
     </ul>
     <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand④⓪⑤">MLOperand</a></code>. The output tensor that contains the values selected element-wise from either the trueValue or the falseValue tensor.</p>
    </div>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlwheresupportlimits" id="ref-for-dictdef-mlwheresupportlimits①">MLWhereSupportLimits</a></code> has following members:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlwheresupportlimits" id="ref-for-dictdef-mlwheresupportlimits①">MLWhereSupportLimits</a></code> has the following members:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLWhereSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlwheresupportlimits-condition"><code>condition</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlsupportlimits" id="ref-for-dictdef-mlsupportlimits②①②">MLSupportLimits</a></span>
     <dd data-md>
@@ -8966,7 +8966,7 @@ <h4 class="heading settled" data-level="7.7.47" id="api-mlgraphbuilder-where"><s
     <dd data-md>
      <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlsupportlimits" id="ref-for-dictdef-mlsupportlimits②①⑨">MLSupportLimits</a></code> for output operand.</p>
    </dl>
-   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑧⑧">MLOpSupportLimits</a></code> has following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-where" id="ref-for-dom-mlgraphbuilder-where①">where()</a></code>:</p>
+   <p><code class="idl"><a data-link-type="idl" href="#dictdef-mlopsupportlimits" id="ref-for-dictdef-mlopsupportlimits⑧⑧">MLOpSupportLimits</a></code> has the following member for <code class="idl"><a data-link-type="idl" href="#dom-mlgraphbuilder-where" id="ref-for-dom-mlgraphbuilder-where①">where()</a></code>:</p>
    <dl>
     <dt data-md><dfn class="dfn-paneled idl-code" data-dfn-for="MLOpSupportLimits" data-dfn-type="dict-member" data-export id="dom-mlopsupportlimits-where"><code>where</code></dfn>, <span> of type <a data-link-type="idl-name" href="#dictdef-mlwheresupportlimits" id="ref-for-dictdef-mlwheresupportlimits②">MLWhereSupportLimits</a></span>
     <dd data-md>
@@ -11867,7 +11867,7 @@ <h2 class="no-num no-ref heading settled" id="issues-index"><span class="content
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 "dom-mlgraphbuilder-conv2d-input-filter-options-input": {"dfnID":"dom-mlgraphbuilder-conv2d-input-filter-options-input","dfnText":"input","external":false,"refSections":[{"refs":[{"id":"ref-for-dom-mlgraphbuilder-conv2d-input-filter-options-input"}],"title":"7.7.10. conv2d"}],"url":"#dom-mlgraphbuilder-conv2d-input-filter-options-input"},
 "dom-mlgraphbuilder-conv2d-input-filter-options-options": {"dfnID":"dom-mlgraphbuilder-conv2d-input-filter-options-options","dfnText":"options","external":false,"refSections":[{"refs":[{"id":"ref-for-dom-mlgraphbuilder-conv2d-input-filter-options-options"}],"title":"7.7.10. conv2d"}],"url":"#dom-mlgraphbuilder-conv2d-input-filter-options-options"},
-"dom-mlgraphbuilder-convtranspose2d": {"dfnID":"dom-mlgraphbuilder-convtranspose2d","dfnText":"convTranspose2d(input, filter, options)","external":false,"refSections":[{"refs":[{"id":"ref-for-dom-mlgraphbuilder-convtranspose2d"},{"id":"ref-for-dom-mlgraphbuilder-convtranspose2d\u2460"}],"title":"7.7.11. convTranspose2d"}],"url":"#dom-mlgraphbuilder-convtranspose2d"},
+"dom-mlgraphbuilder-convtranspose2d": {"dfnID":"dom-mlgraphbuilder-convtranspose2d","dfnText":"convTranspose2d(input, filter, options)","external":false,"refSections":[{"refs":[{"id":"ref-for-dom-mlgraphbuilder-convtranspose2d"},{"id":"ref-for-dom-mlgraphbuilder-convtranspose2d\u2460"},{"id":"ref-for-dom-mlgraphbuilder-convtranspose2d\u2461"}],"title":"7.7.11. convTranspose2d"}],"url":"#dom-mlgraphbuilder-convtranspose2d"},
 "dom-mlgraphbuilder-convtranspose2d-input-filter-options-filter": {"dfnID":"dom-mlgraphbuilder-convtranspose2d-input-filter-options-filter","dfnText":"filter","external":false,"refSections":[{"refs":[{"id":"ref-for-dom-mlgraphbuilder-convtranspose2d-input-filter-options-filter"}],"title":"7.7.11. convTranspose2d"}],"url":"#dom-mlgraphbuilder-convtranspose2d-input-filter-options-filter"},
 "dom-mlgraphbuilder-convtranspose2d-input-filter-options-input": {"dfnID":"dom-mlgraphbuilder-convtranspose2d-input-filter-options-input","dfnText":"input","external":false,"refSections":[{"refs":[{"id":"ref-for-dom-mlgraphbuilder-convtranspose2d-input-filter-options-input"}],"title":"7.7.11. convTranspose2d"}],"url":"#dom-mlgraphbuilder-convtranspose2d-input-filter-options-input"},
 "dom-mlgraphbuilder-convtranspose2d-input-filter-options-options": {"dfnID":"dom-mlgraphbuilder-convtranspose2d-input-filter-options-options","dfnText":"options","external":false,"refSections":[{"refs":[{"id":"ref-for-dom-mlgraphbuilder-convtranspose2d-input-filter-options-options"}],"title":"7.7.11. convTranspose2d"}],"url":"#dom-mlgraphbuilder-convtranspose2d-input-filter-options-options"},