Move ONNX Transformer into Microsoft.ML.Transforms.Onnx namespace. (#2929)

* Move ONNX Transformer into Microsoft.ML.Transforms.Onnx namespace.
* Make ONNX image model extension methods have the proper Microsoft.ML namespace.

Author: codemzs

docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/ImageAnalytics/DnnFeaturizeImage.cs

@@ -1,7 +1,7 @@
 using System.IO;
 using System.Linq;
 using Microsoft.ML.Data;
-using Microsoft.ML.Transforms;
+using Microsoft.ML.Transforms.Onnx;
 
 namespace Microsoft.ML.Samples.Dynamic
 {

src/Microsoft.ML.DnnImageFeaturizer.AlexNet/AlexNetExtension.cs

@@ -6,8 +6,10 @@
 using System.IO;
 using Microsoft.ML.Data;
 using Microsoft.ML.Runtime;
+using Microsoft.ML.Transforms;
+using Microsoft.ML.Transforms.Onnx;
 
-namespace Microsoft.ML.Transforms
+namespace Microsoft.ML
 {
     /// <summary>
     /// This is an extension method to be used with the <see cref="DnnImageFeaturizerEstimator"/> in order to use a pretrained AlexNet model.

src/Microsoft.ML.DnnImageFeaturizer.ResNet101/ResNet101Extension.cs

@@ -6,8 +6,10 @@
 using System.IO;
 using Microsoft.ML.Data;
 using Microsoft.ML.Runtime;
+using Microsoft.ML.Transforms;
+using Microsoft.ML.Transforms.Onnx;
 
-namespace Microsoft.ML.Transforms
+namespace Microsoft.ML
 {
     /// <summary>
     /// This is an extension method to be used with the <see cref="DnnImageFeaturizerEstimator"/> in order to use a pretrained ResNet101 model.

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

@@ -6,8 +6,10 @@
 using System.IO;
 using Microsoft.ML.Data;
 using Microsoft.ML.Runtime;
+using Microsoft.ML.Transforms;
+using Microsoft.ML.Transforms.Onnx;
 
-namespace Microsoft.ML.Transforms
+namespace Microsoft.ML
 {
     /// <summary>
     /// This is an extension method to be used with the <see cref="DnnImageFeaturizerEstimator"/> in order to use a pretrained ResNet18 model.

src/Microsoft.ML.DnnImageFeaturizer.ResNet50/ResNet50Extension.cs

@@ -6,8 +6,10 @@
 using System.IO;
 using Microsoft.ML.Data;
 using Microsoft.ML.Runtime;
+using Microsoft.ML.Transforms;
+using Microsoft.ML.Transforms.Onnx;
 
-namespace Microsoft.ML.Transforms
+namespace Microsoft.ML
 {
     /// <summary>
     /// This is an extension method to be used with the <see cref="DnnImageFeaturizerEstimator"/> in order to use a pretrained ResNet50 model.

src/Microsoft.ML.OnnxTransformer.StaticPipe/DnnImageFeaturizerStaticExtensions.cs

@@ -7,6 +7,7 @@
 using Microsoft.ML.Data;
 using Microsoft.ML.Runtime;
 using Microsoft.ML.StaticPipe;
+using Microsoft.ML.Transforms.Onnx;
 
 namespace Microsoft.ML.Transforms.StaticPipe
 {

src/Microsoft.ML.OnnxTransformer.StaticPipe/OnnxStaticExtensions.cs

@@ -5,6 +5,7 @@
 using System.Collections.Generic;
 using Microsoft.ML.Runtime;
 using Microsoft.ML.StaticPipe;
+using Microsoft.ML.Transforms.Onnx;
 
 namespace Microsoft.ML.Transforms.StaticPipe
 {

src/Microsoft.ML.OnnxTransformer/DnnImageFeaturizerTransform.cs

@@ -7,7 +7,7 @@
 using Microsoft.ML.Data;
 using Microsoft.ML.Runtime;
 
-namespace Microsoft.ML.Transforms
+namespace Microsoft.ML.Transforms.Onnx
 {
     /// <summary>
     /// This is a helper class that is required to use the <see cref="DnnImageFeaturizerEstimator"/>.

src/Microsoft.ML.OnnxTransformer/OnnxCatalog.cs

@@ -5,6 +5,7 @@
 using System;
 using Microsoft.ML.Data;
 using Microsoft.ML.Transforms;
+using Microsoft.ML.Transforms.Onnx;
 
 namespace Microsoft.ML
 {

src/Microsoft.ML.OnnxTransformer/OnnxTransform.cs

@@ -14,7 +14,7 @@
 using Microsoft.ML.Internal.Utilities;
 using Microsoft.ML.OnnxRuntime;
 using Microsoft.ML.Runtime;
-using Microsoft.ML.Transforms;
+using Microsoft.ML.Transforms.Onnx;
 using OnnxShape = System.Collections.Generic.List<int>;
 
 [assembly: LoadableClass(OnnxTransformer.Summary, typeof(IDataTransform), typeof(OnnxTransformer),
@@ -31,7 +31,7 @@
 
 [assembly: EntryPointModule(typeof(OnnxTransformer))]
 
-namespace Microsoft.ML.Transforms
+namespace Microsoft.ML.Transforms.Onnx
 {
     /// <summary>
     /// <p>A transform for scoring ONNX models in the ML.NET framework.</p>