remove MLBufferView and MLResource

See webmachinelearning/webnn#560

Author: a-sully

index.bs

@@ -104,20 +104,10 @@ enum MLDataType {
 };
 
 dictionary MLTensor {
-  required MLResource data;
+  required ArrayBufferView data;
   required sequence<unsigned long> dimensions;
 };
 
-// This should be aligned with WebNN. It is different from the spec of WebNN
-// because in the first version we do not involve any hardware acceleration. We
-// should update it later.
-typedef ArrayBufferView MLBufferView;
-
-// This should be aligned with WebNN. It is different from the spec of WebNN
-// because in the first version we do not involve any hardware acceleration. We
-// should update it later.
-typedef MLBufferView MLResource;
-
 dictionary MLTensorInfo {
   required DOMString name;
   required MLDataType type;
@@ -158,6 +148,7 @@ loader = new MLModelLoader(context);
 // believe this covers most of the usage cases. Web developers can download the 
 // model, e.g., by the fetch API. We can add new "load" functions in the future
 // if they are really needed.
+// Issue(123): blah
 const modelUrl = 'https://path/to/model/file';
 const modelBuffer = await fetch(modelUrl)
                             .then(response => response.arrayBuffer());