add comments and update readme

Author: zhangxiang1993

Samples/BatchSupport/BatchSupport/main.cpp

@@ -71,7 +71,7 @@ int main(int argc, char *argv[]) {
   printf("model run took %d ticks\n", ticks);
 
   // Print Results
-  auto outputs = results.Outputs().Lookup(L"softmaxout_1").as<TensorFloat>();
+  auto outputs = results.Outputs().Lookup(L"softmaxout_1").as<TensorFloat>(); // Get outputs by output name
   auto outputShape = outputs.Shape();
   printf("output dimensions [%d, %d, %d, %d]\n", outputShape.GetAt(0), outputShape.GetAt(1), outputShape.GetAt(2), outputShape.GetAt(3));
   SampleHelper::PrintResults(outputs.GetAsVectorView());

Samples/BatchSupport/readme.md

@@ -93,4 +93,16 @@ Take binding batches of VideoFrame as example:
 
     // Bind
     binding.Bind(inputFeatureDescriptor.Current().Name(), inputVideoFrames);
+```
+
+### 3. Bind Outputs(optional)
+
+The sample does not bind the output, but you could also bind the output as below:
+```C++
+  auto outputShape = std::vector<int64_t>{BATCH_SIZE, 1000, 1, 1};	
+  auto outputValue = TensorFloat::Create(outputShape);	
+  std::wstring outputDataBindingName =	
+      std::wstring(model.OutputFeatures().First().Current().Name());	
+  binding.Bind(outputDataBindingName, outputValue);
+  SampleHelper::PrintResults(outputValue.GetAsVectorView()); // Print Results
 ```