Update src/Microsoft.ML.TensorFlow/TensorflowUtils.cs

Co-authored-by: Eric Erhardt <eric.erhardt@microsoft.com>

Author: michaelgsharp

src/Microsoft.ML.TensorFlow/TensorflowUtils.cs

@@ -90,7 +90,7 @@ internal static DataViewSchema GetModelSchema(IExceptionContext ectx, Graph grap
  DataViewType columnType = new VectorDataViewType(mlType);
  if (!(Utils.Size(tensorShape) == 1 && tensorShape[0] <= 0) &&
  (Utils.Size(tensorShape) > 0 && tensorShape.Skip(1).All(x => x > 0)))
- // When treatOutputAsBatched is true we keep the existing behaviour. This means that if the first dimension is greater
+ // treatOutputAsBatched == true means that if the first dimension is greater
  // than 0 we take the tensor shape as is. If the first value is less then 0, we treat it as the batch input so we can
  // ignore it for the shape of the ML.NET vector. I.E. if the input dimensions are [-1, 5], ML.NET will read the -1 as
  // batch input, and so the ML.NET data type will be a vector of length 5.