Fixed a bug in the unit test for image classification

Author: harshithapv

src/Microsoft.ML.Dnn/ImageClassificationTransform.cs

@@ -204,6 +204,7 @@ private static Tensor EncodeByteAsString(VBuffer<byte> buffer)
                 fixed (byte* src = buffer.GetValues())
                     c_api.TF_StringEncode(src, (UIntPtr)length, (sbyte*)(tensor + sizeof(Int64)), size, status);
             }
+
             status.Check(true);
             status.Dispose();
             return new Tensor(handle);

test/Microsoft.ML.Tests/ScenariosWithDirectInstantiation/TensorflowTests.cs

@@ -1242,11 +1242,11 @@ public void TensorFlowImageClassification()
             IDataView trainDataset = trainTestData.TrainSet;
             IDataView testDataset = trainTestData.TestSet;
 
-            var validationSet = mlContext.Transforms.LoadImages("Image", fullImagesetFolderPath, true, "ImagePath") // true indicates we want the image as a VBuffer<byte>
+            var validationSet = mlContext.Transforms.LoadImages("Image", fullImagesetFolderPath, false, "ImagePath") // false indicates we want the image as a VBuffer<byte>
                     .Fit(testDataset)
                     .Transform(testDataset);
 
-            var pipeline = mlContext.Transforms.LoadImages("Image", fullImagesetFolderPath, true, "ImagePath") // true indicates we want the image as a VBuffer<byte>
+            var pipeline = mlContext.Transforms.LoadImages("Image", fullImagesetFolderPath, false, "ImagePath") // false indicates we want the image as a VBuffer<byte>
                 .Append(mlContext.Model.ImageClassification(
                     "Image", "Label",
                     // Just by changing/selecting InceptionV3 here instead of