Fix Bikeshed build errors (#564)

- No 'dfn' refs found for 'rank-'
- No 'idl' refs found for 'MLCommandEncoder'

Author: anssiko

index.bs

@@ -23,7 +23,7 @@ Logo: https://webmachinelearning.github.io/webmachinelearning-logo.png
 Deadline: 2023-10-01
 Status Text: <p>
   Further implementation experience and user feedback is being gathered for the
-  {{MLCommandEncoder}} interface that proposes to enable more efficient WebGPU
+  <code>MLCommandEncoder</code> interface that proposes to enable more efficient WebGPU
   integration. A proposal to
   <a href="https://github.com/webmachinelearning/webnn/pull/322">simplify
   MLContext creation</a> is being discussed. This document is maintained and
@@ -3676,7 +3676,7 @@ partial interface MLGraphBuilder {
     The <dfn method for=MLGraphBuilder>layerNormalization(|input|, |options|)</dfn> method steps are:
   </summary>
   <div class=algorithm-steps>
-    1. If |options|.{{MLLayerNormalizationOptions/axes}} does not [=map/exist=], then set |options|.{{MLLayerNormalizationOptions/axes}} to a new [=/list=], either equal to [=the range=] from 1 to |input|'s [=rank-=], exclusive, if |input|'s [=rank=] is greater than 1, or an empty [=/list=] otherwise.
+    1. If |options|.{{MLLayerNormalizationOptions/axes}} does not [=map/exist=], then set |options|.{{MLLayerNormalizationOptions/axes}} to a new [=/list=], either equal to [=the range=] from 1 to |input|'s [=rank=], exclusive, if |input|'s [=rank=] is greater than 1, or an empty [=/list=] otherwise.
     1. If the [=rank=] of |options|.{{MLLayerNormalizationOptions/scale}} is not equal to the [=list/size=] of |options|.{{MLLayerNormalizationOptions/axes}}, then [=exception/throw=] a "{{DataError}}" {{DOMException}}.
     1. If the [=rank=] of |options|.{{MLLayerNormalizationOptions/bias}} is not equal to the [=list/size=] of |options|.{{MLLayerNormalizationOptions/axes}}, then [=exception/throw=] a "{{DataError}}" {{DOMException}}.
     1. [=list/For each=] |index| in [=the range=] 0 to the [=list/size=] of |options|.{{MLLayerNormalizationOptions/axes}}, exclusive: