Bump ONNXRuntime version (#3837)

build/Dependencies.props

@@ -15,7 +15,7 @@
     <GoogleProtobufPackageVersion>3.5.1</GoogleProtobufPackageVersion>
     <LightGBMPackageVersion>2.2.3</LightGBMPackageVersion>
     <MicrosoftExtensionsPackageVersion>2.1.0</MicrosoftExtensionsPackageVersion>
-    <MicrosoftMLOnnxRuntimePackageVersion>0.3.0</MicrosoftMLOnnxRuntimePackageVersion>
+    <MicrosoftMLOnnxRuntimePackageVersion>0.4.0</MicrosoftMLOnnxRuntimePackageVersion>
     <MlNetMklDepsPackageVersion>0.0.0.9</MlNetMklDepsPackageVersion>
     <ParquetDotNetPackageVersion>2.1.3</ParquetDotNetPackageVersion>
     <SystemDrawingCommonPackageVersion>4.5.0</SystemDrawingCommonPackageVersion>

src/Microsoft.ML.DnnImageFeaturizer.ResNet18/ResNet18Extension.cs

@@ -30,8 +30,8 @@ public static EstimatorChain<ColumnCopyingTransformer> ResNet18(this DnnImageMod
 
         /// <summary>
         /// This allows a custom model location to be specified. This is useful is a custom model is specified,
-        /// or if the model is desired to be placed or shipped separately in a different folder from the main application. Note that because Onnx models
-        /// must be in a directory all by themsleves for the OnnxTransformer to work, this method appends a ResNet18Onnx/ResNetPrepOnnx subdirectory
+        /// or if the model is desired to be placed or shipped separately in a different folder from the main application. Note that because ONNX models
+        /// must be in a directory all by themselves for the OnnxTransformer to work, this method appends a ResNet18Onnx/ResNetPrepOnnx subdirectory
         /// to the passed in directory to prevent having to make that directory manually each time.
         /// </summary>
         public static EstimatorChain<ColumnCopyingTransformer> ResNet18(this DnnImageModelSelector dnnModelContext, IHostEnvironment env, string outputColumnName, string inputColumnName, string modelDir)

src/Microsoft.ML.OnnxTransformer/OnnxTransform.cs

@@ -46,7 +46,7 @@ namespace Microsoft.ML.Transforms.Onnx
     /// | Output column data type | The same data type as the input column |
     /// | Required NuGet in addition to Microsoft.ML | Microsoft.ML.OnnxTransformer |
     ///
-    /// Supports inferencing of models in ONNX 1.2 and 1.3 format (opset 7, 8 and 9), using the
+    /// Supports inferencing of models in ONNX 1.2, 1.3, 1.4, and 1.5 format (opset 7, 8, 9, and 10), using the
     /// [Microsoft.ML.OnnxRuntime](https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime/) library.
     /// Models are scored on CPU by default. If GPU execution is needed (optional), use the
     /// NuGet package available at [Microsoft.ML.OnnxRuntime.Gpu](https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime.Gpu/)