Merge pull request #386 from webmachinelearning/float16

Add float16 to MLOperandType and ArrayBufferView compatibility table

Author: anssiko

index.bs

@@ -61,6 +61,9 @@ urlPrefix: https://webidl.spec.whatwg.org/; spec: WEBIDL
     type: dfn
         text: underlying buffer; url: buffersource-underlying-buffer
         text: buffer byte length; url: buffersource-byte-length
+urlPrefix: https://tc39.es/proposal-float16array/; spec: float16array
+    type: interface
+        text: Float16Array; url: sec-float16array
 </pre>
 <pre class="biblio">
 {
@@ -3152,6 +3155,9 @@ console.log('Output value: ' + result.outputs.output);
     <tr>
         <td>{{MLOperandType/float32}}
         <td>{{Float32Array}}
+    <tr>
+        <td>{{MLOperandType/float16}}
+        <td>{{Float16Array}}
     <tr>
         <td>{{MLOperandType/int32}}
         <td>{{Int32Array}}
@@ -3166,7 +3172,7 @@ console.log('Output value: ' + result.outputs.output);
         <td>{{Uint8Array}}
 </table>
 
-Issue(webmachinelearning/webnn#127): clarify the usage of {{ArrayBufferView}} for {{MLOperandType/float16}}.
+<p class="note">{{Float16Array}} is at <a href="https://tc39.es/process-document/">ECMA Stage 3</a> signaling its design is finished. Implementers wanting to enable this type ahead native implementations can emulate the type by passing raw bits via {{Uint16Array}}. <a href="https://github.com/webmachinelearning/webnn/issues/373">[Issue webnn#373]</a></p>
 
 <h2 id="acknowledgements">Acknowledgements</h2>