From 8c0d4ead8b07e559414f05dbc42edf8ebbeda955 Mon Sep 17 00:00:00 2001
From: Joshua Bell <jsbell@chromium.org>
Date: Thu, 14 Dec 2023 12:45:35 -0800
Subject: [PATCH 1/2] Fix a handful of markdown glitches, probably c/o a
 find/replace.

---
 index.bs | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/index.bs b/index.bs
index ccec0054..e4c5321a 100644
--- a/index.bs
+++ b/index.bs
@@ -1106,7 +1106,7 @@ When the {{[[contextType]]}} is set to [=default-context|default=] with the {{ML
 </details>
 
 ### Synchronous Execution ### {#api-mlcontext-sync-execution}
-Synchronously carries out the computational workload of a compiled graph {{MLGraph}} on the calling thread, which must be a worker thread, to produce results as defined by the operations in the graph. This method of execution requires an {{MLContext}} created with {{MLContextOptions}}. Otherwise, it[=exception/throws=] an "{{OperationError}}" {{DOMException}}.
+Synchronously carries out the computational workload of a compiled graph {{MLGraph}} on the calling thread, which must be a worker thread, to produce results as defined by the operations in the graph. This method of execution requires an {{MLContext}} created with {{MLContextOptions}}. Otherwise, it [=exception/throws=] an "{{OperationError}}" {{DOMException}}.
 
 <script type=idl>
 partial interface MLContext {
@@ -1250,7 +1250,7 @@ partial interface MLContext {
 </details>
 
 ### Asynchronous Execution ### {#api-mlcontext-async-execution}
-Asynchronously carries out the computational workload of a compiled graph {{MLGraph}} on a separate timeline, either on a worker thread for the CPU execution, or on a GPU timeline for the submission of GPU workload on the command queue. The asynchronous nature of this call avoids blocking the calling thread while the computation for result is ongoing. This method of execution requires an {{MLContext}} created with {{MLContextOptions}}. Otherwise, it[=exception/throws=] an "{{OperationError}}" {{DOMException}}.
+Asynchronously carries out the computational workload of a compiled graph {{MLGraph}} on a separate timeline, either on a worker thread for the CPU execution, or on a GPU timeline for the submission of GPU workload on the command queue. The asynchronous nature of this call avoids blocking the calling thread while the computation for result is ongoing. This method of execution requires an {{MLContext}} created with {{MLContextOptions}}. Otherwise, it [=exception/throws=] an "{{OperationError}}" {{DOMException}}.
 
 <div class="note">
 In accordance with the [=ArrayBufferView/write|Web IDL warning=], to prevent the calling thread from modifying the input and output resources while the computation is ongoing, this method [=MLNamedArrayBufferViews/transfer|transfers=] the input and output {{MLNamedArrayBufferViews}} to new views that share the same backing memory allocations. The transferred views are returned to the caller via the promise fulfillment with the computation result written into the backing memory of the output views.
@@ -1332,7 +1332,7 @@ partial interface MLContext {
 </div>
 
 ### WebGPU Interoperability ### {#api-mlcontext-webgpu-interop}
-Create {{MLCommandEncoder}} interface used to record the ML workload onto a WebGPU-compatible {{GPUCommandBuffer}} to allow mixing of ML workload with other GPU workload in an application that leverages WebGPU. This method only succeeds on an {{MLContext}} created with {{GPUDevice}}. Otherwise, it[=exception/throws=] an "{{OperationError}}" {{DOMException}}.
+Create {{MLCommandEncoder}} interface used to record the ML workload onto a WebGPU-compatible {{GPUCommandBuffer}} to allow mixing of ML workload with other GPU workload in an application that leverages WebGPU. This method only succeeds on an {{MLContext}} created with {{GPUDevice}}. Otherwise, it [=exception/throws=] an "{{OperationError}}" {{DOMException}}.
 
 <script type=idl>
 partial interface MLContext {
@@ -3731,7 +3731,7 @@ The {{MLInstanceNormalizationOptions}} members are:
 
     : <dfn>bias</dfn>
     ::
-        An {{MLOperand}}. Specifies the 1-D tensor of the bias values whose [=list/size=] is equal to the size of the feature dimension of the input. For example, for an |input| tensor with `nchw` layout, the len[=list/size=]gth is the value of |input|.{{MLOperand/[[descriptor]]}}.{{MLOperandDescriptor/dimensions}}[1].
+        An {{MLOperand}}. Specifies the 1-D tensor of the bias values whose [=list/size=] is equal to the size of the feature dimension of the input. For example, for an |input| tensor with `nchw` layout, the [=list/size=] is the value of |input|.{{MLOperand/[[descriptor]]}}.{{MLOperandDescriptor/dimensions}}[1].
 
     : <dfn>epsilon</dfn>
     ::
@@ -4862,7 +4862,7 @@ partial interface MLGraphBuilder {
     1. If |options|.{{MLPool2dOptions/windowDimensions}} [=map/exists=] and its [=list/size=] is not 2, then [=exception/throw=] a "{{DataError}}" {{DOMException}}.
     1. Otherwise, set |options|.{{MLPool2dOptions/windowDimensions}} to the height and width dimensions of the shape of |input|.
     1. If |options|.{{MLPool2dOptions/outputSizes}} [=map/exists=], or if |options|.{{MLPool2dOptions/padding}} does not [=map/exist=], set |options|.{{MLPool2dOptions/padding}} to `« 0, 0, 0, 0 »`.
-    1. If the len[=list/size=]gth of |options|.{{MLPool2dOptions/padding}} is not 4, then [=exception/throw=] a "{{DataError}}" {{DOMException}}.
+    1. If the [=list/size=] of |options|.{{MLPool2dOptions/padding}} is not 4, then [=exception/throw=] a "{{DataError}}" {{DOMException}}.
     1. If |options|.{{MLPool2dOptions/strides}} does not [=map/exist=], set |options|.{{MLPool2dOptions/strides}} to `« 1, 1 »`.
     1. If the [=list/size=] of |options|.{{MLPool2dOptions/strides}} is not 2, then [=exception/throw=] a "{{DataError}}" {{DOMException}}.
     1. If any value in |options|.{{MLPool2dOptions/strides}} is not greater than 0, then [=exception/throw=] a "{{DataError}}" {{DOMException}}.

From 50ea24b2393e11bba047ffcd65584a64129632d5 Mon Sep 17 00:00:00 2001
From: Joshua Bell <jsbell@chromium.org>
Date: Fri, 15 Dec 2023 09:25:13 -0800
Subject: [PATCH 2/2] the value of -> equal to

---
 index.bs | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/index.bs b/index.bs
index e4c5321a..0d927384 100644
--- a/index.bs
+++ b/index.bs
@@ -3727,11 +3727,11 @@ The {{MLInstanceNormalizationOptions}} members are:
 <dl dfn-type=dict-member dfn-for=MLInstanceNormalizationOptions>
     : <dfn>scale</dfn>
     ::
-        An {{MLOperand}}. Specifies the 1-D tensor of the scaling values whose [=list/size=] is equal to the number of channels, i.e. the size of the feature dimension of the input. For example, for an |input| tensor with `nchw` layout, the [=list/size=] is the value of |input|.{{MLOperand/[[descriptor]]}}.{{MLOperandDescriptor/dimensions}}[1].
+        An {{MLOperand}}. Specifies the 1-D tensor of the scaling values whose [=list/size=] is equal to the number of channels, i.e. the size of the feature dimension of the input. For example, for an |input| tensor with `nchw` layout, the [=list/size=] is equal to |input|.{{MLOperand/[[descriptor]]}}.{{MLOperandDescriptor/dimensions}}[1].
 
     : <dfn>bias</dfn>
     ::
-        An {{MLOperand}}. Specifies the 1-D tensor of the bias values whose [=list/size=] is equal to the size of the feature dimension of the input. For example, for an |input| tensor with `nchw` layout, the [=list/size=] is the value of |input|.{{MLOperand/[[descriptor]]}}.{{MLOperandDescriptor/dimensions}}[1].
+        An {{MLOperand}}. Specifies the 1-D tensor of the bias values whose [=list/size=] is equal to the size of the feature dimension of the input. For example, for an |input| tensor with `nchw` layout, the [=list/size=] is equal to |input|.{{MLOperand/[[descriptor]]}}.{{MLOperandDescriptor/dimensions}}[1].
 
     : <dfn>epsilon</dfn>
     ::
@@ -6780,4 +6780,4 @@ Thanks to Dwayne Robinson for his work investigating and providing recommendatio
     ]
   }
 }
-</pre>
\ No newline at end of file
+</pre>