From ed25cf9be154fac8f2b5ce691f12bbf8e46b58fe Mon Sep 17 00:00:00 2001
From: Ningxin Hu <ningxin.hu@intel.com>
Date: Tue, 20 Dec 2022 11:13:12 +0000
Subject: [PATCH] Merge pull request #294 from huningxin/unsigned_attributes

SHA: 5a4e73e20b6559b32a07ec7055612590523d68dc
Reason: push, by huningxin

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
---
 index.html | 176 ++++++++++++++++++++++++++---------------------------
 1 file changed, 88 insertions(+), 88 deletions(-)

diff --git a/index.html b/index.html
index 6fe8aa58..9c027c87 100644
--- a/index.html
+++ b/index.html
@@ -8,7 +8,7 @@
   <link href="https://www.w3.org/2008/site/images/favicon.ico" rel="icon">
   <meta content="Bikeshed version 26e85e599, updated Thu Dec 8 15:29:31 2022 -0800" name="generator">
   <link href="https://www.w3.org/TR/webnn/" rel="canonical">
-  <meta content="6bffedde67e30d34694b37bd57205e8a4ef60f01" name="document-revision">
+  <meta content="5a4e73e20b6559b32a07ec7055612590523d68dc" name="document-revision">
 <style>
 /* Make <dl> blocks more distinct from their surroundings. */
 main dl:not(.switch) {
@@ -1862,11 +1862,11 @@ <h4 class="heading settled" data-level="7.7.5" id="api-mlgraphbuilder-conv2d"><s
 };
 
 <c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlconv2doptions"><code><c- g>MLConv2dOptions</c-></code></dfn> {
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long④"><c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLConv2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<long> " id="dom-mlconv2doptions-padding"><code><c- g>padding</c-></code><a class="self-link" href="#dom-mlconv2doptions-padding"></a></dfn>;
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence③"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long⑤"><c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLConv2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<long> " id="dom-mlconv2doptions-strides"><code><c- g>strides</c-></code><a class="self-link" href="#dom-mlconv2doptions-strides"></a></dfn>;
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence④"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long⑥"><c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLConv2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<long> " id="dom-mlconv2doptions-dilations"><code><c- g>dilations</c-></code><a class="self-link" href="#dom-mlconv2doptions-dilations"></a></dfn>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②"><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>> <dfn class="idl-code" data-dfn-for="MLConv2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<unsigned long> " id="dom-mlconv2doptions-padding"><code><c- g>padding</c-></code><a class="self-link" href="#dom-mlconv2doptions-padding"></a></dfn>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence③"><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-long②"><c- b>unsigned</c-> <c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLConv2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<unsigned long> " id="dom-mlconv2doptions-strides"><code><c- g>strides</c-></code><a class="self-link" href="#dom-mlconv2doptions-strides"></a></dfn>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence④"><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-long③"><c- b>unsigned</c-> <c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLConv2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<unsigned long> " id="dom-mlconv2doptions-dilations"><code><c- g>dilations</c-></code><a class="self-link" href="#dom-mlconv2doptions-dilations"></a></dfn>;
   <a data-link-type="idl-name" href="#enumdef-mlautopad" id="ref-for-enumdef-mlautopad"><c- n>MLAutoPad</c-></a> <dfn class="idl-code" data-default="&quot;explicit&quot;" data-dfn-for="MLConv2dOptions" data-dfn-type="dict-member" data-export data-type="MLAutoPad " id="dom-mlconv2doptions-autopad"><code><c- g>autoPad</c-></code><a class="self-link" href="#dom-mlconv2doptions-autopad"></a></dfn> = "explicit";
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long⑦"><c- b>long</c-></a> <dfn class="idl-code" data-default="1" data-dfn-for="MLConv2dOptions" data-dfn-type="dict-member" data-export data-type="long " id="dom-mlconv2doptions-groups"><code><c- g>groups</c-></code><a class="self-link" href="#dom-mlconv2doptions-groups"></a></dfn> = 1;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long④"><c- b>unsigned</c-> <c- b>long</c-></a> <dfn class="idl-code" data-default="1" data-dfn-for="MLConv2dOptions" data-dfn-type="dict-member" data-export data-type="unsigned long " id="dom-mlconv2doptions-groups"><code><c- g>groups</c-></code><a class="self-link" href="#dom-mlconv2doptions-groups"></a></dfn> = 1;
   <a data-link-type="idl-name" href="#enumdef-mlinputoperandlayout" id="ref-for-enumdef-mlinputoperandlayout"><c- n>MLInputOperandLayout</c-></a> <dfn class="idl-code" data-default="&quot;nchw&quot;" data-dfn-for="MLConv2dOptions" data-dfn-type="dict-member" data-export data-type="MLInputOperandLayout " id="dom-mlconv2doptions-inputlayout"><code><c- g>inputLayout</c-></code><a class="self-link" href="#dom-mlconv2doptions-inputlayout"></a></dfn> = "nchw";
   <a data-link-type="idl-name" href="#enumdef-mlconv2dfilteroperandlayout" id="ref-for-enumdef-mlconv2dfilteroperandlayout"><c- n>MLConv2dFilterOperandLayout</c-></a> <dfn class="idl-code" data-default="&quot;oihw&quot;" data-dfn-for="MLConv2dOptions" data-dfn-type="dict-member" data-export data-type="MLConv2dFilterOperandLayout " id="dom-mlconv2doptions-filterlayout"><code><c- g>filterLayout</c-></code><a class="self-link" href="#dom-mlconv2doptions-filterlayout"></a></dfn> = "oihw";
   <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand③③"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLConv2dOptions" data-dfn-type="dict-member" data-export data-type="MLOperand " id="dom-mlconv2doptions-bias"><code><c- g>bias</c-></code><a class="self-link" href="#dom-mlconv2doptions-bias"></a></dfn>;
@@ -1890,15 +1890,15 @@ <h4 class="heading settled" data-level="7.7.5" id="api-mlgraphbuilder-conv2d"><s
       <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlconv2doptions" id="ref-for-dictdef-mlconv2doptions①">MLConv2dOptions</a></code>. The optional parameters of the operation.</p>
       <ul>
        <li data-md>
-        <p><em>padding</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long⑧">long</a></code> of length 4. The additional rows and columns added to the beginning and ending of each spatial dimension of <em>input</em>, [beginning_height, ending_height, beginning_width, ending_width]. If not present, the values are assumed to be [0,0,0,0].</p>
+        <p><em>padding</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑤">unsigned long</a></code> of length 4. The additional rows and columns added to the beginning and ending of each spatial dimension of <em>input</em>, [beginning_height, ending_height, beginning_width, ending_width]. If not present, the values are assumed to be [0,0,0,0].</p>
        <li data-md>
-        <p><em>strides</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long⑨">long</a></code> of length 2. The stride of the sliding window for each spatial dimension of <em>input</em>, [stride_height, stride_width]. If not present, the values are assumed to be [1,1].</p>
+        <p><em>strides</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑥">unsigned long</a></code> of length 2. The stride of the sliding window for each spatial dimension of <em>input</em>, [stride_height, stride_width]. If not present, the values are assumed to be [1,1].</p>
        <li data-md>
-        <p><em>dilations</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long①⓪">long</a></code> of length 2. The dilation factor for each spatial dimension of <em>input</em>, [dilation_height, dilation_width]. If not present, the values are assumed to be [1,1].</p>
+        <p><em>dilations</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑦">unsigned long</a></code> of length 2. The dilation factor for each spatial dimension of <em>input</em>, [dilation_height, dilation_width]. If not present, the values are assumed to be [1,1].</p>
        <li data-md>
         <p><em>autoPad</em>: an <code class="idl"><a data-link-type="idl" href="#enumdef-mlautopad" id="ref-for-enumdef-mlautopad①">MLAutoPad</a></code>. The automatic input padding options. By default, this argument is set to <em>"explicit"</em>, which means that the values in the <em>options.padding</em> array should be used for input padding. When the option is set other than <em>"explicit"</em>, the values in the <em>options.padding</em> array are ignored. With the <em>"same-upper"</em> option, the padding values are automatically computed such that the additional ending padding of the spatial input dimensions would allow all of the input values in the corresponding dimension to be filtered. The <em>"same-lower"</em> option is similar but padding is applied to the beginning padding of the spatial input dimensions instead of the ending one.</p>
        <li data-md>
-        <p><em>groups</em>: a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long①①">long</a></code> scalar. The number of groups that input channels and output channels are divided into, default to 1.</p>
+        <p><em>groups</em>: an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑧">unsigned long</a></code> scalar. The number of groups that input channels and output channels are divided into, default to 1.</p>
        <li data-md>
         <p><em>inputLayout</em>: an <code class="idl"><a data-link-type="idl" href="#enumdef-mlinputoperandlayout" id="ref-for-enumdef-mlinputoperandlayout①">MLInputOperandLayout</a></code>. The default value is <em>"nchw"</em>. This option specifies the layout format of the input and output tensor as follow:</p>
         <p>"nchw":</p>
@@ -1957,13 +1957,13 @@ <h4 class="heading settled" data-level="7.7.6" id="api-mlgraphbuilder-convtransp
 };
 
 <c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlconvtranspose2doptions"><code><c- g>MLConvTranspose2dOptions</c-></code></dfn> {
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence⑤"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long①②"><c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<long> " id="dom-mlconvtranspose2doptions-padding"><code><c- g>padding</c-></code><a class="self-link" href="#dom-mlconvtranspose2doptions-padding"></a></dfn>;
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence⑥"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long①③"><c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<long> " id="dom-mlconvtranspose2doptions-strides"><code><c- g>strides</c-></code><a class="self-link" href="#dom-mlconvtranspose2doptions-strides"></a></dfn>;
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence⑦"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long①④"><c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<long> " id="dom-mlconvtranspose2doptions-dilations"><code><c- g>dilations</c-></code><a class="self-link" href="#dom-mlconvtranspose2doptions-dilations"></a></dfn>;
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence⑧"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long①⑤"><c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<long> " id="dom-mlconvtranspose2doptions-outputpadding"><code><c- g>outputPadding</c-></code><a class="self-link" href="#dom-mlconvtranspose2doptions-outputpadding"></a></dfn>;
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence⑨"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long①⑥"><c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<long> " id="dom-mlconvtranspose2doptions-outputsizes"><code><c- g>outputSizes</c-></code><a class="self-link" href="#dom-mlconvtranspose2doptions-outputsizes"></a></dfn>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence⑤"><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-long⑨"><c- b>unsigned</c-> <c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<unsigned long> " id="dom-mlconvtranspose2doptions-padding"><code><c- g>padding</c-></code><a class="self-link" href="#dom-mlconvtranspose2doptions-padding"></a></dfn>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence⑥"><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-long①⓪"><c- b>unsigned</c-> <c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<unsigned long> " id="dom-mlconvtranspose2doptions-strides"><code><c- g>strides</c-></code><a class="self-link" href="#dom-mlconvtranspose2doptions-strides"></a></dfn>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence⑦"><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-long①①"><c- b>unsigned</c-> <c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<unsigned long> " id="dom-mlconvtranspose2doptions-dilations"><code><c- g>dilations</c-></code><a class="self-link" href="#dom-mlconvtranspose2doptions-dilations"></a></dfn>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence⑧"><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-long①②"><c- b>unsigned</c-> <c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<unsigned long> " id="dom-mlconvtranspose2doptions-outputpadding"><code><c- g>outputPadding</c-></code><a class="self-link" href="#dom-mlconvtranspose2doptions-outputpadding"></a></dfn>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence⑨"><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-long①③"><c- b>unsigned</c-> <c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<unsigned long> " id="dom-mlconvtranspose2doptions-outputsizes"><code><c- g>outputSizes</c-></code><a class="self-link" href="#dom-mlconvtranspose2doptions-outputsizes"></a></dfn>;
   <a data-link-type="idl-name" href="#enumdef-mlautopad" id="ref-for-enumdef-mlautopad②"><c- n>MLAutoPad</c-></a> <dfn class="idl-code" data-default="&quot;explicit&quot;" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export data-type="MLAutoPad " id="dom-mlconvtranspose2doptions-autopad"><code><c- g>autoPad</c-></code><a class="self-link" href="#dom-mlconvtranspose2doptions-autopad"></a></dfn> = "explicit";
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long①⑦"><c- b>long</c-></a> <dfn class="idl-code" data-default="1" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export data-type="long " id="dom-mlconvtranspose2doptions-groups"><code><c- g>groups</c-></code><a class="self-link" href="#dom-mlconvtranspose2doptions-groups"></a></dfn> = 1;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①④"><c- b>unsigned</c-> <c- b>long</c-></a> <dfn class="idl-code" data-default="1" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export data-type="unsigned long " id="dom-mlconvtranspose2doptions-groups"><code><c- g>groups</c-></code><a class="self-link" href="#dom-mlconvtranspose2doptions-groups"></a></dfn> = 1;
   <a data-link-type="idl-name" href="#enumdef-mlinputoperandlayout" id="ref-for-enumdef-mlinputoperandlayout②"><c- n>MLInputOperandLayout</c-></a> <dfn class="idl-code" data-default="&quot;nchw&quot;" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export data-type="MLInputOperandLayout " id="dom-mlconvtranspose2doptions-inputlayout"><code><c- g>inputLayout</c-></code><a class="self-link" href="#dom-mlconvtranspose2doptions-inputlayout"></a></dfn> = "nchw";
   <a data-link-type="idl-name" href="#enumdef-mlconvtranspose2dfilteroperandlayout" id="ref-for-enumdef-mlconvtranspose2dfilteroperandlayout"><c- n>MLConvTranspose2dFilterOperandLayout</c-></a> <dfn class="idl-code" data-default="&quot;iohw&quot;" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export data-type="MLConvTranspose2dFilterOperandLayout " id="dom-mlconvtranspose2doptions-filterlayout"><code><c- g>filterLayout</c-></code><a class="self-link" href="#dom-mlconvtranspose2doptions-filterlayout"></a></dfn> = "iohw";
   <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand④①"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLConvTranspose2dOptions" data-dfn-type="dict-member" data-export data-type="MLOperand " id="dom-mlconvtranspose2doptions-bias"><code><c- g>bias</c-></code><a class="self-link" href="#dom-mlconvtranspose2doptions-bias"></a></dfn>;
@@ -1988,19 +1988,19 @@ <h4 class="heading settled" data-level="7.7.6" id="api-mlgraphbuilder-convtransp
       <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlconvtranspose2doptions" id="ref-for-dictdef-mlconvtranspose2doptions①">MLConvTranspose2dOptions</a></code>. The optional parameters of the operation.</p>
       <ul>
        <li data-md>
-        <p><em>padding</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long①⑧">long</a></code> of length 4. The additional rows and columns added to the beginning and ending of each spatial dimension of <em>input</em>, [beginning_height, ending_height, beginning_width, ending_width]. If not present, the values are assumed to be [0,0,0,0].</p>
+        <p><em>padding</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①⑤">unsigned long</a></code> of length 4. The additional rows and columns added to the beginning and ending of each spatial dimension of <em>input</em>, [beginning_height, ending_height, beginning_width, ending_width]. If not present, the values are assumed to be [0,0,0,0].</p>
        <li data-md>
-        <p><em>strides</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long①⑨">long</a></code> of length 2. The stride of the sliding window for each spatial dimension of <em>input</em>, [stride_height, stride_width]. If not present, the values are assumed to be [1,1].</p>
+        <p><em>strides</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①⑥">unsigned long</a></code> of length 2. The stride of the sliding window for each spatial dimension of <em>input</em>, [stride_height, stride_width]. If not present, the values are assumed to be [1,1].</p>
        <li data-md>
-        <p><em>dilations</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long②⓪">long</a></code> of length 2. The dilation factor for each spatial dimension of <em>input</em>, [dilation_height, dilation_width]. If not present, the values are assumed to be [1,1].</p>
+        <p><em>dilations</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①⑦">unsigned long</a></code> of length 2. The dilation factor for each spatial dimension of <em>input</em>, [dilation_height, dilation_width]. If not present, the values are assumed to be [1,1].</p>
        <li data-md>
-        <p><em>outputPadding</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long②①">long</a></code> of length 2. The padding values applied to each spatial dimension of the output tensor. This explicit padding values are needed to disambiguate the output tensor shape for transposed convolution when the value of the <em>options.strides</em> is greater than 1. Note that these values are only used to disambiguate output shape when needed; it does not necessarily cause any padding value to be written to the output tensor. If not specified, the values are assumed to be [0,0].</p>
+        <p><em>outputPadding</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①⑧">unsigned long</a></code> of length 2. The padding values applied to each spatial dimension of the output tensor. This explicit padding values are needed to disambiguate the output tensor shape for transposed convolution when the value of the <em>options.strides</em> is greater than 1. Note that these values are only used to disambiguate output shape when needed; it does not necessarily cause any padding value to be written to the output tensor. If not specified, the values are assumed to be [0,0].</p>
        <li data-md>
-        <p><em>outputSizes</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long②②">long</a></code> of length 2. The sizes of the last two dimensions of the output tensor. When the output sizes are explicitly specified, the output padding values in <em>options.outputPadding</em> are ignored. If not specified, the output sizes are automatically computed.</p>
+        <p><em>outputSizes</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①⑨">unsigned long</a></code> of length 2. The sizes of the last two dimensions of the output tensor. When the output sizes are explicitly specified, the output padding values in <em>options.outputPadding</em> are ignored. If not specified, the output sizes are automatically computed.</p>
        <li data-md>
         <p><em>autoPad</em>: an <code class="idl"><a data-link-type="idl" href="#enumdef-mlautopad" id="ref-for-enumdef-mlautopad③">MLAutoPad</a></code>. The automatic input padding options. By default, this argument is set to <em>"explicit"</em>, which means that the values in the <em>options.padding</em> array should be used for input padding. When the option is set other than <em>"explicit"</em>, the values in the <em>options.padding</em> array are ignored. With the <em>"same-upper"</em> option, the padding values are automatically computed such that the additional ending padding of the spatial input dimensions would allow all of the input values in the corresponding dimension to be filtered. The <em>"same-lower"</em> option is similar but padding is applied to the beginning padding of the spatial input dimensions instead of the ending one.</p>
        <li data-md>
-        <p><em>groups</em>: a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long②③">long</a></code> scalar. The number of groups that input channels and output channels are divided into, default to 1.</p>
+        <p><em>groups</em>: an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long②⓪">unsigned long</a></code> scalar. The number of groups that input channels and output channels are divided into, default to 1.</p>
        <li data-md>
         <p><em>inputLayout</em>: an <code class="idl"><a data-link-type="idl" href="#enumdef-mlinputoperandlayout" id="ref-for-enumdef-mlinputoperandlayout③">MLInputOperandLayout</a></code>. The default value is <em>"nchw"</em>. This option specifies the layout format of the input and output tensor as follow:</p>
         <p>"nchw":</p>
@@ -2253,7 +2253,7 @@ <h4 class="heading settled" data-level="7.7.11" id="api-mlgraphbuilder-gru"><spa
 
 <c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder②⑤"><c- g>MLGraphBuilder</c-></a> {
   <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①①"><c- b>sequence</c-></a>&lt;<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⓪⑧"><c- n>MLOperand</c-></a>> <dfn class="idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export data-lt="gru(input, weight, recurrentWeight, steps, hiddenSize, options)|gru(input, weight, recurrentWeight, steps, hiddenSize)" id="dom-mlgraphbuilder-gru"><code><c- g>gru</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gru"></a></dfn>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①⓪⑨"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-input"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①①⓪"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-weight"><code><c- g>weight</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-weight"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①①①"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-recurrentweight"><code><c- g>recurrentWeight</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-recurrentweight"></a></dfn>,
-                        <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long②④"><c- b>long</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-steps"><code><c- g>steps</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-steps"></a></dfn>, <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long②⑤"><c- b>long</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-hiddensize"><code><c- g>hiddenSize</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-hiddensize"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlgruoptions" id="ref-for-dictdef-mlgruoptions"><c- n>MLGruOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-options"></a></dfn> = {});
+                        <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long④"><c- b>long</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-steps"><code><c- g>steps</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-steps"></a></dfn>, <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long⑤"><c- b>long</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-hiddensize"><code><c- g>hiddenSize</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-hiddensize"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlgruoptions" id="ref-for-dictdef-mlgruoptions"><c- n>MLGruOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize, options), MLGraphBuilder/gru(input, weight, recurrentWeight, steps, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-gru-input-weight-recurrentweight-steps-hiddensize-options-options"></a></dfn> = {});
 };
 </pre>
    <div class="algorithm" data-algorithm="gru">
@@ -2266,9 +2266,9 @@ <h4 class="heading settled" data-level="7.7.11" id="api-mlgraphbuilder-gru"><spa
      <li data-md>
       <p><em>recurrentWeight</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①①④">MLOperand</a></code>. The 3-D recurrent weight tensor of shape [num_directions, 3 * hidden_size, hidden_size]. The ordering of the weight vectors in the second dimension of the tensor shape is specified according to the <em>layout</em> argument.</p>
      <li data-md>
-      <p><em>steps</em>: a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long②⑥">long</a></code> scalar. The number of time steps in the recurrent network. The value must be greater than 0.</p>
+      <p><em>steps</em>: a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long⑥">long</a></code> scalar. The number of time steps in the recurrent network. The value must be greater than 0.</p>
      <li data-md>
-      <p><em>hiddenSize</em>: a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long②⑦">long</a></code> scalar. The value of the third dimension of the cell output tensor shape. It indicates the number of features in the hidden state.</p>
+      <p><em>hiddenSize</em>: a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long⑦">long</a></code> scalar. The value of the third dimension of the cell output tensor shape. It indicates the number of features in the hidden state.</p>
      <li data-md>
       <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlgruoptions" id="ref-for-dictdef-mlgruoptions①">MLGruOptions</a></code>. The optional parameters of the operation.</p>
       <ul>
@@ -2363,7 +2363,7 @@ <h4 class="heading settled" data-level="7.7.12" id="api-mlgraphbuilder-grucell">
 
 <c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder②⑥"><c- g>MLGraphBuilder</c-></a> {
   <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①②①"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export data-lt="gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize, options)|gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize)" id="dom-mlgraphbuilder-grucell"><code><c- g>gruCell</c-></code><a class="self-link" href="#dom-mlgraphbuilder-grucell"></a></dfn>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①②②"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize, options), MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-input"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①②③"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize, options), MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-weight"><code><c- g>weight</c-></code><a class="self-link" href="#dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-weight"></a></dfn>, <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①②④"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize, options), MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-recurrentweight"><code><c- g>recurrentWeight</c-></code><a class="self-link" href="#dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-recurrentweight"></a></dfn>,
-                  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①②⑤"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize, options), MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-hiddenstate"><code><c- g>hiddenState</c-></code><a class="self-link" href="#dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-hiddenstate"></a></dfn>, <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long②⑧"><c- b>long</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize, options), MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-hiddensize"><code><c- g>hiddenSize</c-></code><a class="self-link" href="#dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-hiddensize"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlgrucelloptions" id="ref-for-dictdef-mlgrucelloptions"><c- n>MLGruCellOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize, options), MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-options"></a></dfn> = {});
+                  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand①②⑤"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize, options), MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-hiddenstate"><code><c- g>hiddenState</c-></code><a class="self-link" href="#dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-hiddenstate"></a></dfn>, <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long⑧"><c- b>long</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize, options), MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-hiddensize"><code><c- g>hiddenSize</c-></code><a class="self-link" href="#dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-hiddensize"></a></dfn>, <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlgrucelloptions" id="ref-for-dictdef-mlgrucelloptions"><c- n>MLGruCellOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize, options), MLGraphBuilder/gruCell(input, weight, recurrentWeight, hiddenState, hiddenSize)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-grucell-input-weight-recurrentweight-hiddenstate-hiddensize-options-options"></a></dfn> = {});
 };
 </pre>
    <div class="algorithm" data-algorithm="grucell">
@@ -2378,7 +2378,7 @@ <h4 class="heading settled" data-level="7.7.12" id="api-mlgraphbuilder-grucell">
      <li data-md>
       <p><em>hiddenState</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①②⑨">MLOperand</a></code>. The 2-D input hidden state tensor of shape [batch_size, hidden_size].</p>
      <li data-md>
-      <p><em>hiddenSize</em>: a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long②⑨">long</a></code> scalar. The value of the second dimension of the output tensor shape. It indicates the number of features in the hidden state.</p>
+      <p><em>hiddenSize</em>: a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long⑨">long</a></code> scalar. The value of the second dimension of the output tensor shape. It indicates the number of features in the hidden state.</p>
      <li data-md>
       <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlgrucelloptions" id="ref-for-dictdef-mlgrucelloptions①">MLGruCellOptions</a></code>. The optional parameters of the operation.</p>
       <ul>
@@ -2848,14 +2848,14 @@ <h4 class="heading settled" data-level="7.7.20" id="api-mlgraphbuilder-pool2d"><
 };
 
 <c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlpool2doptions"><code><c- g>MLPool2dOptions</c-></code></dfn> {
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①③"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long③⓪"><c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLPool2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<long> " id="dom-mlpool2doptions-windowdimensions"><code><c- g>windowDimensions</c-></code><a class="self-link" href="#dom-mlpool2doptions-windowdimensions"></a></dfn>;
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①④"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long③①"><c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLPool2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<long> " id="dom-mlpool2doptions-padding"><code><c- g>padding</c-></code><a class="self-link" href="#dom-mlpool2doptions-padding"></a></dfn>;
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①⑤"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long③②"><c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLPool2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<long> " id="dom-mlpool2doptions-strides"><code><c- g>strides</c-></code><a class="self-link" href="#dom-mlpool2doptions-strides"></a></dfn>;
-  <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="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long③③"><c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLPool2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<long> " id="dom-mlpool2doptions-dilations"><code><c- g>dilations</c-></code><a class="self-link" href="#dom-mlpool2doptions-dilations"></a></dfn>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①③"><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-long②①"><c- b>unsigned</c-> <c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLPool2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<unsigned long> " id="dom-mlpool2doptions-windowdimensions"><code><c- g>windowDimensions</c-></code><a class="self-link" href="#dom-mlpool2doptions-windowdimensions"></a></dfn>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①④"><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-long②②"><c- b>unsigned</c-> <c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLPool2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<unsigned long> " id="dom-mlpool2doptions-padding"><code><c- g>padding</c-></code><a class="self-link" href="#dom-mlpool2doptions-padding"></a></dfn>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①⑤"><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-long②③"><c- b>unsigned</c-> <c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLPool2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<unsigned long> " id="dom-mlpool2doptions-strides"><code><c- g>strides</c-></code><a class="self-link" href="#dom-mlpool2doptions-strides"></a></dfn>;
+  <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="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long②④"><c- b>unsigned</c-> <c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLPool2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<unsigned long> " id="dom-mlpool2doptions-dilations"><code><c- g>dilations</c-></code><a class="self-link" href="#dom-mlpool2doptions-dilations"></a></dfn>;
   <a data-link-type="idl-name" href="#enumdef-mlautopad" id="ref-for-enumdef-mlautopad④"><c- n>MLAutoPad</c-></a> <dfn class="idl-code" data-default="&quot;explicit&quot;" data-dfn-for="MLPool2dOptions" data-dfn-type="dict-member" data-export data-type="MLAutoPad " id="dom-mlpool2doptions-autopad"><code><c- g>autoPad</c-></code><a class="self-link" href="#dom-mlpool2doptions-autopad"></a></dfn> = "explicit";
   <a data-link-type="idl-name" href="#enumdef-mlinputoperandlayout" id="ref-for-enumdef-mlinputoperandlayout⑥"><c- n>MLInputOperandLayout</c-></a> <dfn class="idl-code" data-default="&quot;nchw&quot;" data-dfn-for="MLPool2dOptions" data-dfn-type="dict-member" data-export data-type="MLInputOperandLayout " id="dom-mlpool2doptions-layout"><code><c- g>layout</c-></code><a class="self-link" href="#dom-mlpool2doptions-layout"></a></dfn> = "nchw";
   <a data-link-type="idl-name" href="#enumdef-mlroundingtype" id="ref-for-enumdef-mlroundingtype"><c- n>MLRoundingType</c-></a> <dfn class="idl-code" data-default="&quot;floor&quot;" data-dfn-for="MLPool2dOptions" data-dfn-type="dict-member" data-export data-type="MLRoundingType " id="dom-mlpool2doptions-roundingtype"><code><c- g>roundingType</c-></code><a class="self-link" href="#dom-mlpool2doptions-roundingtype"></a></dfn> = "floor";
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①⑦"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long③④"><c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLPool2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<long> " id="dom-mlpool2doptions-outputsizes"><code><c- g>outputSizes</c-></code><a class="self-link" href="#dom-mlpool2doptions-outputsizes"></a></dfn>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①⑦"><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-long②⑤"><c- b>unsigned</c-> <c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLPool2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<unsigned long> " id="dom-mlpool2doptions-outputsizes"><code><c- g>outputSizes</c-></code><a class="self-link" href="#dom-mlpool2doptions-outputsizes"></a></dfn>;
 };
 
 <c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder③④"><c- g>MLGraphBuilder</c-></a> {
@@ -2874,17 +2874,17 @@ <h4 class="heading settled" data-level="7.7.20" id="api-mlgraphbuilder-pool2d"><
       <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlpool2doptions" id="ref-for-dictdef-mlpool2doptions③">MLPool2dOptions</a></code>. The optional parameters of the operation.</p>
       <ul>
        <li data-md>
-        <p><em>windowDimensions</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long③⑤">long</a></code> of length 2. The dimensions of the sliding window,
-[window_height, window_width]. If not present, the window dimensions are assumed to be the height
+        <p><em>windowDimensions</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long②⑥">unsigned long</a></code> of length 2. The dimensions of the sliding window,
+[window_height, window_width]. If not present, the window dimensions are assumed to be the height  
 and width dimensions of the input shape.</p>
        <li data-md>
-        <p><em>padding</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long③⑥">long</a></code> of length 4. The additional rows and columns added to the beginning and ending of each spatial dimension of <em>input</em>, [beginning_height, ending_height, beginning_width, ending_width]. If not present, the values are assumed to be [0,0,0,0].</p>
+        <p><em>padding</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long②⑦">unsigned long</a></code> of length 4. The additional rows and columns added to the beginning and ending of each spatial dimension of <em>input</em>, [beginning_height, ending_height, beginning_width, ending_width]. If not present, the values are assumed to be [0,0,0,0].</p>
        <li data-md>
-        <p><em>strides</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long③⑦">long</a></code> of length 2. The stride of the
+        <p><em>strides</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long②⑧">unsigned long</a></code> of length 2. The stride of the
 sliding window for each spatial dimension of <em>input</em>,
 [stride_height, stride_width]. If not present, the values are assumed to be [1,1].</p>
        <li data-md>
-        <p><em>dilations</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long③⑧">long</a></code> of length 2. The dilation factor
+        <p><em>dilations</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long②⑨">unsigned long</a></code> of length 2. The dilation factor
 for each spatial dimension of <em>input</em>, [dilation_height, dilation_width].
 If not present, the values are assumed to be [1,1].</p>
        <li data-md>
@@ -2909,7 +2909,7 @@ <h4 class="heading settled" data-level="7.7.20" id="api-mlgraphbuilder-pool2d"><
        <li data-md>
         <p><em>roundingType</em>: an <code class="idl"><a data-link-type="idl" href="#enumdef-mlroundingtype" id="ref-for-enumdef-mlroundingtype①">MLRoundingType</a></code>. The option specifies the rounding function used to compute the output shape.</p>
        <li data-md>
-        <p><em>outputSizes</em>: a sequence of long of length 2. The sizes of the two spacial dimensions of the output tensor. When the output sizes are explicitly specified, the options.roundingType is ignored. If not specified, the output sizes are automatically computed.</p>
+        <p><em>outputSizes</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③⓪">unsigned long</a></code> of length 2. The sizes of the two spacial dimensions of the output tensor. When the output sizes are explicitly specified, the options.roundingType is ignored. If not specified, the output sizes are automatically computed.</p>
       </ul>
     </ul>
     <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand①⑦⑥">MLOperand</a></code>. The output 4-D tensor that contains the
@@ -2928,7 +2928,7 @@ <h4 class="heading settled" data-level="7.7.20" id="api-mlgraphbuilder-pool2d"><
    <h4 class="heading settled" data-level="7.7.21" id="api-mlgraphbuilder-reduce"><span class="secno">7.7.21. </span><span class="content">Reduction operations</span><a class="self-link" href="#api-mlgraphbuilder-reduce"></a></h4>
     Reduce the input along the dimensions given in <em>axes</em>. 
 <pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlreduceoptions"><code><c- g>MLReduceOptions</c-></code></dfn> {
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①⑧"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long③⑨"><c- b>long</c-></a>> <dfn class="idl-code" data-default="null" data-dfn-for="MLReduceOptions" data-dfn-type="dict-member" data-export data-type="sequence<long> " id="dom-mlreduceoptions-axes"><code><c- g>axes</c-></code><a class="self-link" href="#dom-mlreduceoptions-axes"></a></dfn> = <c- b>null</c->;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①⑧"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long①⓪"><c- b>long</c-></a>> <dfn class="idl-code" data-default="null" data-dfn-for="MLReduceOptions" data-dfn-type="dict-member" data-export data-type="sequence<long> " id="dom-mlreduceoptions-axes"><code><c- g>axes</c-></code><a class="self-link" href="#dom-mlreduceoptions-axes"></a></dfn> = <c- b>null</c->;
   <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean①⓪"><c- b>boolean</c-></a> <dfn class="idl-code" data-default="false" data-dfn-for="MLReduceOptions" data-dfn-type="dict-member" data-export data-type="boolean " id="dom-mlreduceoptions-keepdimensions"><code><c- g>keepDimensions</c-></code><a class="self-link" href="#dom-mlreduceoptions-keepdimensions"></a></dfn> = <c- b>false</c->;
 };
 
@@ -2954,7 +2954,7 @@ <h4 class="heading settled" data-level="7.7.21" id="api-mlgraphbuilder-reduce"><
       <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlreduceoptions" id="ref-for-dictdef-mlreduceoptions①⓪">MLReduceOptions</a></code>. The optional parameters of the operation.</p>
       <ul>
        <li data-md>
-        <p><em>axes</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long④⓪">long</a></code>. The dimensions to reduce where -1 means the last dimension.
+        <p><em>axes</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long①①">long</a></code>. The dimensions to reduce where -1 means the last dimension.
 If not present, all dimensions are reduced.</p>
        <li data-md>
         <p><em>keepDimensions</em>: a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-boolean" id="ref-for-idl-boolean①①">boolean</a></code>. If true, retains reduced dimensions with size of 1.
@@ -3025,8 +3025,8 @@ <h4 class="heading settled" data-level="7.7.23" 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> <dfn class="idl-code" data-default="&quot;nearest-neighbor&quot;" data-dfn-for="MLResample2dOptions" data-dfn-type="dict-member" data-export data-type="MLInterpolationMode " id="dom-mlresample2doptions-mode"><code><c- g>mode</c-></code><a class="self-link" href="#dom-mlresample2doptions-mode"></a></dfn> = "nearest-neighbor";
   <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence①⑨"><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-float②⑥"><c- b>float</c-></a>> <dfn class="idl-code" data-dfn-for="MLResample2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<float> " id="dom-mlresample2doptions-scales"><code><c- g>scales</c-></code><a class="self-link" href="#dom-mlresample2doptions-scales"></a></dfn>;
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②⓪"><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>> <dfn class="idl-code" data-dfn-for="MLResample2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<unsigned long> " id="dom-mlresample2doptions-sizes"><code><c- g>sizes</c-></code><a class="self-link" href="#dom-mlresample2doptions-sizes"></a></dfn>;
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②①"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long④①"><c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLResample2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<long> " id="dom-mlresample2doptions-axes"><code><c- g>axes</c-></code><a class="self-link" href="#dom-mlresample2doptions-axes"></a></dfn>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②⓪"><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-long③①"><c- b>unsigned</c-> <c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLResample2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<unsigned long> " id="dom-mlresample2doptions-sizes"><code><c- g>sizes</c-></code><a class="self-link" href="#dom-mlresample2doptions-sizes"></a></dfn>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②①"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long①②"><c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLResample2dOptions" data-dfn-type="dict-member" data-export data-type="sequence<long> " id="dom-mlresample2doptions-axes"><code><c- g>axes</c-></code><a class="self-link" href="#dom-mlresample2doptions-axes"></a></dfn>;
 };
 
 <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> {
@@ -3047,9 +3047,9 @@ <h4 class="heading settled" data-level="7.7.23" id="api-mlgraphbuilder-resample2
        <li data-md>
         <p><em>scales</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-float" id="ref-for-idl-float②⑦">float</a></code> of length 2. Each value represents the scaling factor used to scale in each spatial dimensions of input, [scale_height, scale_width]. If not set, the values are assumed to be [1.0, 1.0].</p>
        <li data-md>
-        <p><em>sizes</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long②">unsigned long</a></code> of length 2. The target sizes for each spatial dimensions of input, [size_height, size_width]. When the target sizes are specified, the <em>options.scales</em> argument is ignored as the scaling factor values are derived from the target sizes of each spatial dimension of input.</p>
+        <p><em>sizes</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③②">unsigned long</a></code> of length 2. The target sizes for each spatial dimensions of input, [size_height, size_width]. When the target sizes are specified, the <em>options.scales</em> argument is ignored as the scaling factor values are derived from the target sizes of each spatial dimension of input.</p>
        <li data-md>
-        <p><em>axes</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long④②">long</a></code> of length 2. The two consecutive dimensions of the input tensor to which the interpolation algorithm applies. The valid values in the sequence are [0, 1], [1, 2] or [2, 3]. When not specified, the sequence is assumed to be [2, 3].</p>
+        <p><em>axes</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long①③">long</a></code> of length 2. The two consecutive dimensions of the input tensor to which the interpolation algorithm applies. The valid values in the sequence are [0, 1], [1, 2] or [2, 3]. When not specified, the sequence is assumed to be [2, 3].</p>
       </ul>
     </ul>
     <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⓪⑥">MLOperand</a></code>. The output 4-D tensor.</p>
@@ -3057,7 +3057,7 @@ <h4 class="heading settled" data-level="7.7.23" id="api-mlgraphbuilder-resample2
    <h4 class="heading settled" data-level="7.7.24" id="api-mlgraphbuilder-reshape"><span class="secno">7.7.24. </span><span class="content">The reshape() method</span><a class="self-link" href="#api-mlgraphbuilder-reshape"></a></h4>
     Alter the shape of a tensor to a new shape. Reshape does not copy or change the content of the tensor. It just changes the tensor’s logical dimensions for the subsequent operations. 
 <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-mlgraphbuilder③⑧"><c- g>MLGraphBuilder</c-></a> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⓪⑦"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export data-lt="reshape(input, newShape)" id="dom-mlgraphbuilder-reshape"><code><c- g>reshape</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reshape"></a></dfn>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⓪⑧"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reshape(input, newShape)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reshape-input-newshape-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reshape-input-newshape-input"></a></dfn>, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②②"><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-long③"><c- b>unsigned</c-> <c- b>long</c-></a>?> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reshape(input, newShape)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reshape-input-newshape-newshape"><code><c- g>newShape</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reshape-input-newshape-newshape"></a></dfn>);
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⓪⑦"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export data-lt="reshape(input, newShape)" id="dom-mlgraphbuilder-reshape"><code><c- g>reshape</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reshape"></a></dfn>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②⓪⑧"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reshape(input, newShape)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reshape-input-newshape-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reshape-input-newshape-input"></a></dfn>, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②②"><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-long③③"><c- b>unsigned</c-> <c- b>long</c-></a>?> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/reshape(input, newShape)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-reshape-input-newshape-newshape"><code><c- g>newShape</c-></code><a class="self-link" href="#dom-mlgraphbuilder-reshape-input-newshape-newshape"></a></dfn>);
 };
 </pre>
    <div class="algorithm" data-algorithm="reshape">
@@ -3066,7 +3066,7 @@ <h4 class="heading settled" data-level="7.7.24" id="api-mlgraphbuilder-reshape">
      <li data-md>
       <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②⓪⑨">MLOperand</a></code>. The input tensor.</p>
      <li data-md>
-      <p><em>newShape</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-nullable-type" id="ref-for-idl-nullable-type">nullable</a></code> <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long④">unsigned long</a></code>. The shape of the output tensor.
+      <p><em>newShape</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-nullable-type" id="ref-for-idl-nullable-type">nullable</a></code> <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③④">unsigned long</a></code>. The shape of the output tensor.
 The number of elements implied by <em>newShape</em> must be the same as the
 number of elements in the input tensor. Only one component of <em>newShape</em> can be the special value of <code>null</code>. The size of the dimension
 with the value <code>null</code> is computed so that the total size remains
@@ -3112,11 +3112,11 @@ <h4 class="heading settled" data-level="7.7.25" id="api-mlgraphbuilder-sigmoid">
    <h4 class="heading settled" data-level="7.7.26" id="api-mlgraphbuilder-slice"><span class="secno">7.7.26. </span><span class="content">The slice() method</span><a class="self-link" href="#api-mlgraphbuilder-slice"></a></h4>
     Produce a slice of 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-mlsliceoptions"><code><c- g>MLSliceOptions</c-></code></dfn> {
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②③"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long④③"><c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLSliceOptions" data-dfn-type="dict-member" data-export data-type="sequence<long> " id="dom-mlsliceoptions-axes"><code><c- g>axes</c-></code><a class="self-link" href="#dom-mlsliceoptions-axes"></a></dfn>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②③"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long①④"><c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLSliceOptions" data-dfn-type="dict-member" data-export data-type="sequence<long> " id="dom-mlsliceoptions-axes"><code><c- g>axes</c-></code><a class="self-link" href="#dom-mlsliceoptions-axes"></a></dfn>;
 };
 
 <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> {
-  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②①⑤"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export data-lt="slice(input, starts, sizes, options)|slice(input, starts, sizes)" id="dom-mlgraphbuilder-slice"><code><c- g>slice</c-></code><a class="self-link" href="#dom-mlgraphbuilder-slice"></a></dfn>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②①⑥"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/slice(input, starts, sizes, options), MLGraphBuilder/slice(input, starts, sizes)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-slice-input-starts-sizes-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-slice-input-starts-sizes-options-input"></a></dfn>, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②④"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long④④"><c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/slice(input, starts, sizes, options), MLGraphBuilder/slice(input, starts, sizes)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-slice-input-starts-sizes-options-starts"><code><c- g>starts</c-></code><a class="self-link" href="#dom-mlgraphbuilder-slice-input-starts-sizes-options-starts"></a></dfn>, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②⑤"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long④⑤"><c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/slice(input, starts, sizes, options), MLGraphBuilder/slice(input, starts, sizes)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-slice-input-starts-sizes-options-sizes"><code><c- g>sizes</c-></code><a class="self-link" href="#dom-mlgraphbuilder-slice-input-starts-sizes-options-sizes"></a></dfn>,
+  <a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②①⑤"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export data-lt="slice(input, starts, sizes, options)|slice(input, starts, sizes)" id="dom-mlgraphbuilder-slice"><code><c- g>slice</c-></code><a class="self-link" href="#dom-mlgraphbuilder-slice"></a></dfn>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②①⑥"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/slice(input, starts, sizes, options), MLGraphBuilder/slice(input, starts, sizes)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-slice-input-starts-sizes-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-slice-input-starts-sizes-options-input"></a></dfn>, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②④"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long①⑤"><c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/slice(input, starts, sizes, options), MLGraphBuilder/slice(input, starts, sizes)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-slice-input-starts-sizes-options-starts"><code><c- g>starts</c-></code><a class="self-link" href="#dom-mlgraphbuilder-slice-input-starts-sizes-options-starts"></a></dfn>, <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②⑤"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long①⑥"><c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/slice(input, starts, sizes, options), MLGraphBuilder/slice(input, starts, sizes)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-slice-input-starts-sizes-options-sizes"><code><c- g>sizes</c-></code><a class="self-link" href="#dom-mlgraphbuilder-slice-input-starts-sizes-options-sizes"></a></dfn>,
                 <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlsliceoptions" id="ref-for-dictdef-mlsliceoptions"><c- n>MLSliceOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/slice(input, starts, sizes, options), MLGraphBuilder/slice(input, starts, sizes)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-slice-input-starts-sizes-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-slice-input-starts-sizes-options-options"></a></dfn> = {});
 };
 </pre>
@@ -3126,15 +3126,15 @@ <h4 class="heading settled" data-level="7.7.26" id="api-mlgraphbuilder-slice"><s
      <li data-md>
       <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②①⑦">MLOperand</a></code>. The input tensor.</p>
      <li data-md>
-      <p><em>starts</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long④⑥">long</a></code>. The starting indices to slice of the corresponding axes of the input shape. A negative index value is interpreted as counting back from the end. For example, the value -1</p>
+      <p><em>starts</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long①⑦">long</a></code>. The starting indices to slice of the corresponding axes of the input shape. A negative index value is interpreted as counting back from the end. For example, the value -1</p>
      <li data-md>
-      <p><em>sizes</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long④⑦">long</a></code>. The lengths to slice of the corresponding axes of the input shape.
+      <p><em>sizes</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long①⑧">long</a></code>. The lengths to slice of the corresponding axes of the input shape.
 The length value of -1 selects all the remaining elements from the starting index of the given axis.</p>
      <li data-md>
       <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlsliceoptions" id="ref-for-dictdef-mlsliceoptions①">MLSliceOptions</a></code>. The optional parameters of the operation.</p>
       <ul>
        <li data-md>
-        <p><em>axes</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long④⑧">long</a></code>. The dimensions of the input shape to which <em>starts</em> and <em>sizes</em> apply. The values in the sequence are either within the [0, <em>r</em>-1] range where <em>r</em> is the input tensor rank, or the [<em>-r</em>, -1] range where negative values mean counting back from the end of the input shape. When not specified, the sequence is assumed to be [0,1,..<em>r-1</em>].</p>
+        <p><em>axes</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long①⑨">long</a></code>. The dimensions of the input shape to which <em>starts</em> and <em>sizes</em> apply. The values in the sequence are either within the [0, <em>r</em>-1] range where <em>r</em> is the input tensor rank, or the [<em>-r</em>, -1] range where negative values mean counting back from the end of the input shape. When not specified, the sequence is assumed to be [0,1,..<em>r-1</em>].</p>
       </ul>
     </ul>
     <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②①⑧">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>
@@ -3240,12 +3240,12 @@ <h4 class="heading settled" data-level="7.7.29" id="api-mlgraphbuilder-softsign"
    <h4 class="heading settled" data-level="7.7.30" id="api-mlgraphbuilder-split"><span class="secno">7.7.30. </span><span class="content">The split() method</span><a class="self-link" href="#api-mlgraphbuilder-split"></a></h4>
     Split the input tensor into a number of sub tensors along the given axis. 
 <pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlsplitoptions"><code><c- g>MLSplitOptions</c-></code></dfn> {
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long④⑨"><c- b>long</c-></a> <dfn class="idl-code" data-default="0" data-dfn-for="MLSplitOptions" data-dfn-type="dict-member" data-export data-type="long " id="dom-mlsplitoptions-axis"><code><c- g>axis</c-></code><a class="self-link" href="#dom-mlsplitoptions-axis"></a></dfn> = 0;
+  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long②⓪"><c- b>long</c-></a> <dfn class="idl-code" data-default="0" data-dfn-for="MLSplitOptions" data-dfn-type="dict-member" data-export data-type="long " id="dom-mlsplitoptions-axis"><code><c- g>axis</c-></code><a class="self-link" href="#dom-mlsplitoptions-axis"></a></dfn> = 0;
 };
 
 <c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder④④"><c- g>MLGraphBuilder</c-></a> {
   <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②⑥"><c- b>sequence</c-></a>&lt;<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②③①"><c- n>MLOperand</c-></a>> <dfn class="idl-code" data-dfn-for="MLGraphBuilder" data-dfn-type="method" data-export data-lt="split(input, splits, options)|split(input, splits)" id="dom-mlgraphbuilder-split"><code><c- g>split</c-></code><a class="self-link" href="#dom-mlgraphbuilder-split"></a></dfn>(<a data-link-type="idl-name" href="#mloperand" id="ref-for-mloperand②③②"><c- n>MLOperand</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/split(input, splits, options), MLGraphBuilder/split(input, splits)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-split-input-splits-options-input"><code><c- g>input</c-></code><a class="self-link" href="#dom-mlgraphbuilder-split-input-splits-options-input"></a></dfn>,
-                          (<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑤"><c- b>unsigned</c-> <c- b>long</c-></a> <c- b>or</c-> <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②⑦"><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-long⑥"><c- b>unsigned</c-> <c- b>long</c-></a>>) <dfn class="idl-code" data-dfn-for="MLGraphBuilder/split(input, splits, options), MLGraphBuilder/split(input, splits)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-split-input-splits-options-splits"><code><c- g>splits</c-></code><a class="self-link" href="#dom-mlgraphbuilder-split-input-splits-options-splits"></a></dfn>,
+                          (<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③⑤"><c- b>unsigned</c-> <c- b>long</c-></a> <c- b>or</c-> <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②⑦"><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-long③⑥"><c- b>unsigned</c-> <c- b>long</c-></a>>) <dfn class="idl-code" data-dfn-for="MLGraphBuilder/split(input, splits, options), MLGraphBuilder/split(input, splits)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-split-input-splits-options-splits"><code><c- g>splits</c-></code><a class="self-link" href="#dom-mlgraphbuilder-split-input-splits-options-splits"></a></dfn>,
                           <c- b>optional</c-> <a data-link-type="idl-name" href="#dictdef-mlsplitoptions" id="ref-for-dictdef-mlsplitoptions"><c- n>MLSplitOptions</c-></a> <dfn class="idl-code" data-dfn-for="MLGraphBuilder/split(input, splits, options), MLGraphBuilder/split(input, splits)" data-dfn-type="argument" data-export id="dom-mlgraphbuilder-split-input-splits-options-options"><code><c- g>options</c-></code><a class="self-link" href="#dom-mlgraphbuilder-split-input-splits-options-options"></a></dfn> = {});
 };
 </pre>
@@ -3255,15 +3255,15 @@ <h4 class="heading settled" data-level="7.7.30" id="api-mlgraphbuilder-split"><s
      <li data-md>
       <p><em>input</em>: an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②③③">MLOperand</a></code>. The input tensor.</p>
      <li data-md>
-      <p><em>splits</em>: an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑦">unsigned long</a></code> or a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑧">unsigned long</a></code>. If an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long⑨">unsigned long</a></code>, it specifies the number of output tensors along the axis. The number must evenly divide the dimension size of <em>input</em> along <em>options.axis</em>. If a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①⓪">unsigned long</a></code>, it specifies the sizes of each output tensor along the <em>options.axis</em>. The sum of sizes must equal to the dimension size of <em>input</em> along <em>options.axis</em>.</p>
+      <p><em>splits</em>: an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③⑦">unsigned long</a></code> or a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③⑧">unsigned long</a></code>. If an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long③⑨">unsigned long</a></code>, it specifies the number of output tensors along the axis. The number must evenly divide the dimension size of <em>input</em> along <em>options.axis</em>. If a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long④⓪">unsigned long</a></code>, it specifies the sizes of each output tensor along the <em>options.axis</em>. The sum of sizes must equal to the dimension size of <em>input</em> along <em>options.axis</em>.</p>
      <li data-md>
       <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlsplitoptions" id="ref-for-dictdef-mlsplitoptions①">MLSplitOptions</a></code>. The optional parameters of the operation.</p>
       <ul>
        <li data-md>
-        <p><em>axis</em>: a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long⑤⓪">long</a></code>. The dimension along which to split. Default to 0. A negative value is interpreted as counting back from the end.</p>
+        <p><em>axis</em>: a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long②①">long</a></code>. The dimension along which to split. Default to 0. A negative value is interpreted as counting back from the end.</p>
       </ul>
     </ul>
-    <p><strong>Returns:</strong> a sequence of <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②③④">MLOperand</a></code>. The splitted output tensors. If <em>splits</em> is an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①①">unsigned long</a></code>, the length of the output sequence equals to <em>splits</em>. The shape of each output tensor is the same as <em>input</em> except the dimension size of <em>axis</em> equals to the quotient of dividing the dimension size of <em>input</em> along <em>axis</em> by <em>splits</em>. If <em>splits</em> is a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long①②">unsigned long</a></code>, the length of the output sequence equals to the length of <em>splits</em>. The shape of the i-th output tensor is the same as as <em>input</em> except along <em>axis</em> where the dimension size is <em>splits[i]</em>.</p>
+    <p><strong>Returns:</strong> a sequence of <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②③④">MLOperand</a></code>. The splitted output tensors. If <em>splits</em> is an <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long④①">unsigned long</a></code>, the length of the output sequence equals to <em>splits</em>. The shape of each output tensor is the same as <em>input</em> except the dimension size of <em>axis</em> equals to the quotient of dividing the dimension size of <em>input</em> along <em>axis</em> by <em>splits</em>. If <em>splits</em> is a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-unsigned-long" id="ref-for-idl-unsigned-long④②">unsigned long</a></code>, the length of the output sequence equals to the length of <em>splits</em>. The shape of the i-th output tensor is the same as as <em>input</em> except along <em>axis</em> where the dimension size is <em>splits[i]</em>.</p>
     <div class="note" role="note">
       The behavior of this operation can be generically emulated from the usage of
     other operations as follow. However, user agents typically have a more
@@ -3283,7 +3283,7 @@ <h4 class="heading settled" data-level="7.7.30" id="api-mlgraphbuilder-split"><s
    <h4 class="heading settled" data-level="7.7.31" id="api-mlgraphbuilder-squeeze"><span class="secno">7.7.31. </span><span class="content">The squeeze() method</span><a class="self-link" href="#api-mlgraphbuilder-squeeze"></a></h4>
     Reduce the rank of a tensor by eliminating dimensions with size 1 of the tensor shape. Squeeze only affects the tensor’s logical dimensions. It does not copy or change the content in the tensor. 
 <pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mlsqueezeoptions"><code><c- g>MLSqueezeOptions</c-></code></dfn> {
-  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②⑧"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long⑤①"><c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLSqueezeOptions" data-dfn-type="dict-member" data-export data-type="sequence<long> " id="dom-mlsqueezeoptions-axes"><code><c- g>axes</c-></code><a class="self-link" href="#dom-mlsqueezeoptions-axes"></a></dfn>;
+  <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#idl-sequence" id="ref-for-idl-sequence②⑧"><c- b>sequence</c-></a>&lt;<a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long②②"><c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLSqueezeOptions" data-dfn-type="dict-member" data-export data-type="sequence<long> " id="dom-mlsqueezeoptions-axes"><code><c- g>axes</c-></code><a class="self-link" href="#dom-mlsqueezeoptions-axes"></a></dfn>;
 };
 
 <c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder④⑤"><c- g>MLGraphBuilder</c-></a> {
@@ -3299,7 +3299,7 @@ <h4 class="heading settled" data-level="7.7.31" id="api-mlgraphbuilder-squeeze">
       <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mlsqueezeoptions" id="ref-for-dictdef-mlsqueezeoptions①">MLSqueezeOptions</a></code>. The optional parameters of the operation.</p>
       <ul>
        <li data-md>
-        <p><em>axes</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long⑤②">long</a></code>. Indices to the shape dimensions of size 1 to eliminate. When not specified, every shape dimensions of size 1 in the tensor are eliminated.</p>
+        <p><em>axes</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long②③">long</a></code>. Indices to the shape dimensions of size 1 to eliminate. When not specified, every shape dimensions of size 1 in the tensor are eliminated.</p>
       </ul>
     </ul>
     <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②③⑧">MLOperand</a></code>. The output tensor of the same or reduced rank with the shape dimensions of size 1 eliminated.</p>
@@ -3338,7 +3338,7 @@ <h4 class="heading settled" data-level="7.7.32" id="api-mlgraphbuilder-tanh"><sp
    <h4 class="heading settled" data-level="7.7.33" id="api-mlgraphbuilder-transpose"><span class="secno">7.7.33. </span><span class="content">The transpose() method</span><a class="self-link" href="#api-mlgraphbuilder-transpose"></a></h4>
     Permute the dimensions of the input tensor according to the <em>permutation</em> argument. 
 <pre class="idl highlight def"><c- b>dictionary</c-> <dfn class="dfn-paneled idl-code" data-dfn-type="dictionary" data-export id="dictdef-mltransposeoptions"><code><c- g>MLTransposeOptions</c-></code></dfn> {
-  <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-long" id="ref-for-idl-long⑤③"><c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLTransposeOptions" data-dfn-type="dict-member" data-export data-type="sequence<long> " id="dom-mltransposeoptions-permutation"><code><c- g>permutation</c-></code><a class="self-link" href="#dom-mltransposeoptions-permutation"></a></dfn>;
+  <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-long" id="ref-for-idl-long②④"><c- b>long</c-></a>> <dfn class="idl-code" data-dfn-for="MLTransposeOptions" data-dfn-type="dict-member" data-export data-type="sequence<long> " id="dom-mltransposeoptions-permutation"><code><c- g>permutation</c-></code><a class="self-link" href="#dom-mltransposeoptions-permutation"></a></dfn>;
 };
 
 <c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder" id="ref-for-mlgraphbuilder④⑦"><c- g>MLGraphBuilder</c-></a> {
@@ -3354,7 +3354,7 @@ <h4 class="heading settled" data-level="7.7.33" id="api-mlgraphbuilder-transpose
       <p><em>options</em>: an optional <code class="idl"><a data-link-type="idl" href="#dictdef-mltransposeoptions" id="ref-for-dictdef-mltransposeoptions①">MLTransposeOptions</a></code>. The optional parameters of the operation.</p>
       <ul>
        <li data-md>
-        <p><em>permutation</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long⑤④">long</a></code> values. The values used to permute the output shape. When it’s not specified, it’s set to <code>[N-1...0]</code>, where <code>N</code> is the rank of the input tensor. These default values cause the output to become a transposed tensor of the input. When specified, the number of values in the sequence must be the same as the rank of the input tensor, and the values in the sequence must be within the range from 0 to N-1 with no two or more same values found in the sequence.</p>
+        <p><em>permutation</em>: a sequence of <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#idl-long" id="ref-for-idl-long②⑤">long</a></code> values. The values used to permute the output shape. When it’s not specified, it’s set to <code>[N-1...0]</code>, where <code>N</code> is the rank of the input tensor. These default values cause the output to become a transposed tensor of the input. When specified, the number of values in the sequence must be the same as the rank of the input tensor, and the values in the sequence must be within the range from 0 to N-1 with no two or more same values found in the sequence.</p>
       </ul>
     </ul>
     <p><strong>Returns:</strong> an <code class="idl"><a data-link-type="idl" href="#mloperand" id="ref-for-mloperand②④⑥">MLOperand</a></code>. The permuted or transposed N-D tensor.</p>
@@ -4409,17 +4409,14 @@ <h3 class="no-num no-ref heading settled" id="index-defined-here"><span class="c
    <ul>
     <li><a href="#ref-for-idl-long">7.7.2. The batchNormalization() method</a> <a href="#ref-for-idl-long①">(2)</a>
     <li><a href="#ref-for-idl-long②">7.7.4. The concat() method</a> <a href="#ref-for-idl-long③">(2)</a>
-    <li><a href="#ref-for-idl-long④">7.7.5. The conv2d() method</a> <a href="#ref-for-idl-long⑤">(2)</a> <a href="#ref-for-idl-long⑥">(3)</a> <a href="#ref-for-idl-long⑦">(4)</a> <a href="#ref-for-idl-long⑧">(5)</a> <a href="#ref-for-idl-long⑨">(6)</a> <a href="#ref-for-idl-long①⓪">(7)</a> <a href="#ref-for-idl-long①①">(8)</a>
-    <li><a href="#ref-for-idl-long①②">7.7.6. The convTranspose2d() method</a> <a href="#ref-for-idl-long①③">(2)</a> <a href="#ref-for-idl-long①④">(3)</a> <a href="#ref-for-idl-long①⑤">(4)</a> <a href="#ref-for-idl-long①⑥">(5)</a> <a href="#ref-for-idl-long①⑦">(6)</a> <a href="#ref-for-idl-long①⑧">(7)</a> <a href="#ref-for-idl-long①⑨">(8)</a> <a href="#ref-for-idl-long②⓪">(9)</a> <a href="#ref-for-idl-long②①">(10)</a> <a href="#ref-for-idl-long②②">(11)</a> <a href="#ref-for-idl-long②③">(12)</a>
-    <li><a href="#ref-for-idl-long②④">7.7.11. The gru() method</a> <a href="#ref-for-idl-long②⑤">(2)</a> <a href="#ref-for-idl-long②⑥">(3)</a> <a href="#ref-for-idl-long②⑦">(4)</a>
-    <li><a href="#ref-for-idl-long②⑧">7.7.12. The gruCell() method</a> <a href="#ref-for-idl-long②⑨">(2)</a>
-    <li><a href="#ref-for-idl-long③⓪">7.7.20. Pooling operations</a> <a href="#ref-for-idl-long③①">(2)</a> <a href="#ref-for-idl-long③②">(3)</a> <a href="#ref-for-idl-long③③">(4)</a> <a href="#ref-for-idl-long③④">(5)</a> <a href="#ref-for-idl-long③⑤">(6)</a> <a href="#ref-for-idl-long③⑥">(7)</a> <a href="#ref-for-idl-long③⑦">(8)</a> <a href="#ref-for-idl-long③⑧">(9)</a>
-    <li><a href="#ref-for-idl-long③⑨">7.7.21. Reduction operations</a> <a href="#ref-for-idl-long④⓪">(2)</a>
-    <li><a href="#ref-for-idl-long④①">7.7.23. The resample2d() method</a> <a href="#ref-for-idl-long④②">(2)</a>
-    <li><a href="#ref-for-idl-long④③">7.7.26. The slice() method</a> <a href="#ref-for-idl-long④④">(2)</a> <a href="#ref-for-idl-long④⑤">(3)</a> <a href="#ref-for-idl-long④⑥">(4)</a> <a href="#ref-for-idl-long④⑦">(5)</a> <a href="#ref-for-idl-long④⑧">(6)</a>
-    <li><a href="#ref-for-idl-long④⑨">7.7.30. The split() method</a> <a href="#ref-for-idl-long⑤⓪">(2)</a>
-    <li><a href="#ref-for-idl-long⑤①">7.7.31. The squeeze() method</a> <a href="#ref-for-idl-long⑤②">(2)</a>
-    <li><a href="#ref-for-idl-long⑤③">7.7.33. The transpose() method</a> <a href="#ref-for-idl-long⑤④">(2)</a>
+    <li><a href="#ref-for-idl-long④">7.7.11. The gru() method</a> <a href="#ref-for-idl-long⑤">(2)</a> <a href="#ref-for-idl-long⑥">(3)</a> <a href="#ref-for-idl-long⑦">(4)</a>
+    <li><a href="#ref-for-idl-long⑧">7.7.12. The gruCell() method</a> <a href="#ref-for-idl-long⑨">(2)</a>
+    <li><a href="#ref-for-idl-long①⓪">7.7.21. Reduction operations</a> <a href="#ref-for-idl-long①①">(2)</a>
+    <li><a href="#ref-for-idl-long①②">7.7.23. The resample2d() method</a> <a href="#ref-for-idl-long①③">(2)</a>
+    <li><a href="#ref-for-idl-long①④">7.7.26. The slice() method</a> <a href="#ref-for-idl-long①⑤">(2)</a> <a href="#ref-for-idl-long①⑥">(3)</a> <a href="#ref-for-idl-long①⑦">(4)</a> <a href="#ref-for-idl-long①⑧">(5)</a> <a href="#ref-for-idl-long①⑨">(6)</a>
+    <li><a href="#ref-for-idl-long②⓪">7.7.30. The split() method</a> <a href="#ref-for-idl-long②①">(2)</a>
+    <li><a href="#ref-for-idl-long②②">7.7.31. The squeeze() method</a> <a href="#ref-for-idl-long②③">(2)</a>
+    <li><a href="#ref-for-idl-long②④">7.7.33. The transpose() method</a> <a href="#ref-for-idl-long②⑤">(2)</a>
    </ul>
   </aside>
   <aside class="dfn-panel" data-for="term-for-new">
@@ -4497,9 +4494,12 @@ <h3 class="no-num no-ref heading settled" id="index-defined-here"><span class="c
    <a href="https://webidl.spec.whatwg.org/#idl-unsigned-long">https://webidl.spec.whatwg.org/#idl-unsigned-long</a><b>Referenced in:</b>
    <ul>
     <li><a href="#ref-for-idl-unsigned-long">7.4. The MLOperandDescriptor dictionary</a>
-    <li><a href="#ref-for-idl-unsigned-long①">7.7.23. The resample2d() method</a> <a href="#ref-for-idl-unsigned-long②">(2)</a>
-    <li><a href="#ref-for-idl-unsigned-long③">7.7.24. The reshape() method</a> <a href="#ref-for-idl-unsigned-long④">(2)</a>
-    <li><a href="#ref-for-idl-unsigned-long⑤">7.7.30. The split() method</a> <a href="#ref-for-idl-unsigned-long⑥">(2)</a> <a href="#ref-for-idl-unsigned-long⑦">(3)</a> <a href="#ref-for-idl-unsigned-long⑧">(4)</a> <a href="#ref-for-idl-unsigned-long⑨">(5)</a> <a href="#ref-for-idl-unsigned-long①⓪">(6)</a> <a href="#ref-for-idl-unsigned-long①①">(7)</a> <a href="#ref-for-idl-unsigned-long①②">(8)</a>
+    <li><a href="#ref-for-idl-unsigned-long①">7.7.5. The conv2d() method</a> <a href="#ref-for-idl-unsigned-long②">(2)</a> <a href="#ref-for-idl-unsigned-long③">(3)</a> <a href="#ref-for-idl-unsigned-long④">(4)</a> <a href="#ref-for-idl-unsigned-long⑤">(5)</a> <a href="#ref-for-idl-unsigned-long⑥">(6)</a> <a href="#ref-for-idl-unsigned-long⑦">(7)</a> <a href="#ref-for-idl-unsigned-long⑧">(8)</a>
+    <li><a href="#ref-for-idl-unsigned-long⑨">7.7.6. The convTranspose2d() method</a> <a href="#ref-for-idl-unsigned-long①⓪">(2)</a> <a href="#ref-for-idl-unsigned-long①①">(3)</a> <a href="#ref-for-idl-unsigned-long①②">(4)</a> <a href="#ref-for-idl-unsigned-long①③">(5)</a> <a href="#ref-for-idl-unsigned-long①④">(6)</a> <a href="#ref-for-idl-unsigned-long①⑤">(7)</a> <a href="#ref-for-idl-unsigned-long①⑥">(8)</a> <a href="#ref-for-idl-unsigned-long①⑦">(9)</a> <a href="#ref-for-idl-unsigned-long①⑧">(10)</a> <a href="#ref-for-idl-unsigned-long①⑨">(11)</a> <a href="#ref-for-idl-unsigned-long②⓪">(12)</a>
+    <li><a href="#ref-for-idl-unsigned-long②①">7.7.20. Pooling operations</a> <a href="#ref-for-idl-unsigned-long②②">(2)</a> <a href="#ref-for-idl-unsigned-long②③">(3)</a> <a href="#ref-for-idl-unsigned-long②④">(4)</a> <a href="#ref-for-idl-unsigned-long②⑤">(5)</a> <a href="#ref-for-idl-unsigned-long②⑥">(6)</a> <a href="#ref-for-idl-unsigned-long②⑦">(7)</a> <a href="#ref-for-idl-unsigned-long②⑧">(8)</a> <a href="#ref-for-idl-unsigned-long②⑨">(9)</a> <a href="#ref-for-idl-unsigned-long③⓪">(10)</a>
+    <li><a href="#ref-for-idl-unsigned-long③①">7.7.23. The resample2d() method</a> <a href="#ref-for-idl-unsigned-long③②">(2)</a>
+    <li><a href="#ref-for-idl-unsigned-long③③">7.7.24. The reshape() method</a> <a href="#ref-for-idl-unsigned-long③④">(2)</a>
+    <li><a href="#ref-for-idl-unsigned-long③⑤">7.7.30. The split() method</a> <a href="#ref-for-idl-unsigned-long③⑥">(2)</a> <a href="#ref-for-idl-unsigned-long③⑦">(3)</a> <a href="#ref-for-idl-unsigned-long③⑧">(4)</a> <a href="#ref-for-idl-unsigned-long③⑨">(5)</a> <a href="#ref-for-idl-unsigned-long④⓪">(6)</a> <a href="#ref-for-idl-unsigned-long④①">(7)</a> <a href="#ref-for-idl-unsigned-long④②">(8)</a>
    </ul>
   </aside>
   <aside class="dfn-panel" data-for="term-for-idl-unsigned-long-long">
@@ -4821,11 +4821,11 @@ <h2 class="no-num no-ref heading settled" id="idl-index"><span class="content">I
 };
 
 <c- b>dictionary</c-> <a href="#dictdef-mlconv2doptions"><code><c- g>MLConv2dOptions</c-></code></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="interface" href="https://webidl.spec.whatwg.org/#idl-long"><c- b>long</c-></a>> <a data-type="sequence<long> " href="#dom-mlconv2doptions-padding"><code><c- g>padding</c-></code></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="interface" href="https://webidl.spec.whatwg.org/#idl-long"><c- b>long</c-></a>> <a data-type="sequence<long> " href="#dom-mlconv2doptions-strides"><code><c- g>strides</c-></code></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="interface" href="https://webidl.spec.whatwg.org/#idl-long"><c- b>long</c-></a>> <a data-type="sequence<long> " href="#dom-mlconv2doptions-dilations"><code><c- g>dilations</c-></code></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="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long"><c- b>unsigned</c-> <c- b>long</c-></a>> <a data-type="sequence<unsigned long> " href="#dom-mlconv2doptions-padding"><code><c- g>padding</c-></code></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="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long"><c- b>unsigned</c-> <c- b>long</c-></a>> <a data-type="sequence<unsigned long> " href="#dom-mlconv2doptions-strides"><code><c- g>strides</c-></code></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="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long"><c- b>unsigned</c-> <c- b>long</c-></a>> <a data-type="sequence<unsigned long> " href="#dom-mlconv2doptions-dilations"><code><c- g>dilations</c-></code></a>;
   <a data-link-type="idl-name" href="#enumdef-mlautopad"><c- n>MLAutoPad</c-></a> <a data-default="&quot;explicit&quot;" data-type="MLAutoPad " href="#dom-mlconv2doptions-autopad"><code><c- g>autoPad</c-></code></a> = "explicit";
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long"><c- b>long</c-></a> <a data-default="1" data-type="long " href="#dom-mlconv2doptions-groups"><code><c- g>groups</c-></code></a> = 1;
+  <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="1" data-type="unsigned long " href="#dom-mlconv2doptions-groups"><code><c- g>groups</c-></code></a> = 1;
   <a data-link-type="idl-name" href="#enumdef-mlinputoperandlayout"><c- n>MLInputOperandLayout</c-></a> <a data-default="&quot;nchw&quot;" data-type="MLInputOperandLayout " href="#dom-mlconv2doptions-inputlayout"><code><c- g>inputLayout</c-></code></a> = "nchw";
   <a data-link-type="idl-name" href="#enumdef-mlconv2dfilteroperandlayout"><c- n>MLConv2dFilterOperandLayout</c-></a> <a data-default="&quot;oihw&quot;" data-type="MLConv2dFilterOperandLayout " href="#dom-mlconv2doptions-filterlayout"><code><c- g>filterLayout</c-></code></a> = "oihw";
   <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a data-type="MLOperand " href="#dom-mlconv2doptions-bias"><code><c- g>bias</c-></code></a>;
@@ -4843,13 +4843,13 @@ <h2 class="no-num no-ref heading settled" id="idl-index"><span class="content">I
 };
 
 <c- b>dictionary</c-> <a href="#dictdef-mlconvtranspose2doptions"><code><c- g>MLConvTranspose2dOptions</c-></code></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="interface" href="https://webidl.spec.whatwg.org/#idl-long"><c- b>long</c-></a>> <a data-type="sequence<long> " href="#dom-mlconvtranspose2doptions-padding"><code><c- g>padding</c-></code></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="interface" href="https://webidl.spec.whatwg.org/#idl-long"><c- b>long</c-></a>> <a data-type="sequence<long> " href="#dom-mlconvtranspose2doptions-strides"><code><c- g>strides</c-></code></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="interface" href="https://webidl.spec.whatwg.org/#idl-long"><c- b>long</c-></a>> <a data-type="sequence<long> " href="#dom-mlconvtranspose2doptions-dilations"><code><c- g>dilations</c-></code></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="interface" href="https://webidl.spec.whatwg.org/#idl-long"><c- b>long</c-></a>> <a data-type="sequence<long> " href="#dom-mlconvtranspose2doptions-outputpadding"><code><c- g>outputPadding</c-></code></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="interface" href="https://webidl.spec.whatwg.org/#idl-long"><c- b>long</c-></a>> <a data-type="sequence<long> " href="#dom-mlconvtranspose2doptions-outputsizes"><code><c- g>outputSizes</c-></code></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="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long"><c- b>unsigned</c-> <c- b>long</c-></a>> <a data-type="sequence<unsigned long> " href="#dom-mlconvtranspose2doptions-padding"><code><c- g>padding</c-></code></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="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long"><c- b>unsigned</c-> <c- b>long</c-></a>> <a data-type="sequence<unsigned long> " href="#dom-mlconvtranspose2doptions-strides"><code><c- g>strides</c-></code></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="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long"><c- b>unsigned</c-> <c- b>long</c-></a>> <a data-type="sequence<unsigned long> " href="#dom-mlconvtranspose2doptions-dilations"><code><c- g>dilations</c-></code></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="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long"><c- b>unsigned</c-> <c- b>long</c-></a>> <a data-type="sequence<unsigned long> " href="#dom-mlconvtranspose2doptions-outputpadding"><code><c- g>outputPadding</c-></code></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="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long"><c- b>unsigned</c-> <c- b>long</c-></a>> <a data-type="sequence<unsigned long> " href="#dom-mlconvtranspose2doptions-outputsizes"><code><c- g>outputSizes</c-></code></a>;
   <a data-link-type="idl-name" href="#enumdef-mlautopad"><c- n>MLAutoPad</c-></a> <a data-default="&quot;explicit&quot;" data-type="MLAutoPad " href="#dom-mlconvtranspose2doptions-autopad"><code><c- g>autoPad</c-></code></a> = "explicit";
-  <a class="idl-code" data-link-type="interface" href="https://webidl.spec.whatwg.org/#idl-long"><c- b>long</c-></a> <a data-default="1" data-type="long " href="#dom-mlconvtranspose2doptions-groups"><code><c- g>groups</c-></code></a> = 1;
+  <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="1" data-type="unsigned long " href="#dom-mlconvtranspose2doptions-groups"><code><c- g>groups</c-></code></a> = 1;
   <a data-link-type="idl-name" href="#enumdef-mlinputoperandlayout"><c- n>MLInputOperandLayout</c-></a> <a data-default="&quot;nchw&quot;" data-type="MLInputOperandLayout " href="#dom-mlconvtranspose2doptions-inputlayout"><code><c- g>inputLayout</c-></code></a> = "nchw";
   <a data-link-type="idl-name" href="#enumdef-mlconvtranspose2dfilteroperandlayout"><c- n>MLConvTranspose2dFilterOperandLayout</c-></a> <a data-default="&quot;iohw&quot;" data-type="MLConvTranspose2dFilterOperandLayout " href="#dom-mlconvtranspose2doptions-filterlayout"><code><c- g>filterLayout</c-></code></a> = "iohw";
   <a data-link-type="idl-name" href="#mloperand"><c- n>MLOperand</c-></a> <a data-type="MLOperand " href="#dom-mlconvtranspose2doptions-bias"><code><c- g>bias</c-></code></a>;
@@ -5016,14 +5016,14 @@ <h2 class="no-num no-ref heading settled" id="idl-index"><span class="content">I
 };
 
 <c- b>dictionary</c-> <a href="#dictdef-mlpool2doptions"><code><c- g>MLPool2dOptions</c-></code></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="interface" href="https://webidl.spec.whatwg.org/#idl-long"><c- b>long</c-></a>> <a data-type="sequence<long> " href="#dom-mlpool2doptions-windowdimensions"><code><c- g>windowDimensions</c-></code></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="interface" href="https://webidl.spec.whatwg.org/#idl-long"><c- b>long</c-></a>> <a data-type="sequence<long> " href="#dom-mlpool2doptions-padding"><code><c- g>padding</c-></code></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="interface" href="https://webidl.spec.whatwg.org/#idl-long"><c- b>long</c-></a>> <a data-type="sequence<long> " href="#dom-mlpool2doptions-strides"><code><c- g>strides</c-></code></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="interface" href="https://webidl.spec.whatwg.org/#idl-long"><c- b>long</c-></a>> <a data-type="sequence<long> " href="#dom-mlpool2doptions-dilations"><code><c- g>dilations</c-></code></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="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long"><c- b>unsigned</c-> <c- b>long</c-></a>> <a data-type="sequence<unsigned long> " href="#dom-mlpool2doptions-windowdimensions"><code><c- g>windowDimensions</c-></code></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="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long"><c- b>unsigned</c-> <c- b>long</c-></a>> <a data-type="sequence<unsigned long> " href="#dom-mlpool2doptions-padding"><code><c- g>padding</c-></code></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="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long"><c- b>unsigned</c-> <c- b>long</c-></a>> <a data-type="sequence<unsigned long> " href="#dom-mlpool2doptions-strides"><code><c- g>strides</c-></code></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="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long"><c- b>unsigned</c-> <c- b>long</c-></a>> <a data-type="sequence<unsigned long> " href="#dom-mlpool2doptions-dilations"><code><c- g>dilations</c-></code></a>;
   <a data-link-type="idl-name" href="#enumdef-mlautopad"><c- n>MLAutoPad</c-></a> <a data-default="&quot;explicit&quot;" data-type="MLAutoPad " href="#dom-mlpool2doptions-autopad"><code><c- g>autoPad</c-></code></a> = "explicit";
   <a data-link-type="idl-name" href="#enumdef-mlinputoperandlayout"><c- n>MLInputOperandLayout</c-></a> <a data-default="&quot;nchw&quot;" data-type="MLInputOperandLayout " href="#dom-mlpool2doptions-layout"><code><c- g>layout</c-></code></a> = "nchw";
   <a data-link-type="idl-name" href="#enumdef-mlroundingtype"><c- n>MLRoundingType</c-></a> <a data-default="&quot;floor&quot;" data-type="MLRoundingType " href="#dom-mlpool2doptions-roundingtype"><code><c- g>roundingType</c-></code></a> = "floor";
-  <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="interface" href="https://webidl.spec.whatwg.org/#idl-long"><c- b>long</c-></a>> <a data-type="sequence<long> " href="#dom-mlpool2doptions-outputsizes"><code><c- g>outputSizes</c-></code></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="interface" href="https://webidl.spec.whatwg.org/#idl-unsigned-long"><c- b>unsigned</c-> <c- b>long</c-></a>> <a data-type="sequence<unsigned long> " href="#dom-mlpool2doptions-outputsizes"><code><c- g>outputSizes</c-></code></a>;
 };
 
 <c- b>partial</c-> <c- b>interface</c-> <a class="idl-code" data-link-type="interface" href="#mlgraphbuilder"><c- g>MLGraphBuilder</c-></a> {