add batchsize and arch to imageClassification SweepableTrainer

src/Microsoft.ML.AutoML/CodeGen/image_classification_search_space.json

@@ -16,6 +16,21 @@
       "name": "FeatureColumnName",
       "type": "string",
       "default": "Feature"
+    },
+    {
+      "name": "Arch",
+      "type": "imageClassificationArchType",
+      "default": "ResnetV250"
+    },
+    {
+      "name": "BatchSize",
+      "type": "integer",
+      "default": 10
+    },
+    {
+      "name": "Epoch",
+      "type": "integer",
+      "default": 200
     }
   ]
 }

src/Microsoft.ML.AutoML/CodeGen/search-space-schema.json

@@ -10,12 +10,27 @@
       "type": "array",
       "items": { "type": "integer" }
     },
+    "imageClassificationArchArray": {
+      "type": "array",
+      "items": {
+        "$ref": "#/definitions/imageClassificationArchType"
+      }
+    },
     "dnnModelFactoryArray": {
       "type": "array",
       "items": {
         "$ref": "#/definitions/dnnModelFactoryType"
       }
     },
+    "imageClassificationArchType": {
+      "type": "string",
+      "enum": [
+        "InceptionV3",
+        "MobilenetV2",
+        "ResnetV2101",
+        "ResnetV250"
+      ]
+    },
     "dnnModelFactoryType": {
       "type": "string",
       "enum": [
@@ -54,6 +69,9 @@
         {
           "$ref": "#/definitions/dnnModelFactoryArray"
         },
+        {
+          "$ref":  "#/definitions/imageClassificationArchArray"
+        },
         {
           "$ref": "#/definitions/boolArray"
         },
@@ -177,8 +195,10 @@
         "Sentence2ColumnName",
         "BatchSize",
         "MaxEpochs",
+        "Epoch",
         "Architecture",
-        "AddKeyValueAnnotationsAsText"
+        "AddKeyValueAnnotationsAsText",
+        "Arch"
       ]
     },
     "option_type": {
@@ -195,7 +215,8 @@
         "colorsOrder",
         "anchor",
         "dnnModelFactory",
-        "bertArchitecture"
+        "bertArchitecture",
+        "imageClassificationArchType"
       ]
     }
   },

src/Microsoft.ML.AutoML/SweepableEstimator/Estimators/Images.cs

@@ -2,6 +2,8 @@
 // The .NET Foundation licenses this file to you under the MIT license.
 // See the LICENSE file in the project root for more information.
 using System;
+using Microsoft.ML.Vision;
+
 namespace Microsoft.ML.AutoML.CodeGen
 {
     internal partial class LoadImages
@@ -40,8 +42,16 @@ internal partial class ImageClassificationMulti
     {
         public override IEstimator<ITransformer> BuildFromOption(MLContext context, ImageClassificationOption param)
         {
+            var option = new ImageClassificationTrainer.Options
+            {
+                Arch = param.Arch,
+                BatchSize = param.BatchSize,
+                LabelColumnName = param.LabelColumnName,
+                FeatureColumnName = param.FeatureColumnName,
+                ScoreColumnName = param.ScoreColumnName,
+            };
 
-            return context.MulticlassClassification.Trainers.ImageClassification(param.LabelColumnName, param.FeatureColumnName, param.ScoreColumnName);
+            return context.MulticlassClassification.Trainers.ImageClassification(option);
         }
     }
 

tools-local/Microsoft.ML.AutoML.SourceGenerator/SearchSpaceGenerator.cs

@@ -55,6 +55,7 @@ public void Execute(GeneratorExecutionContext context)
                         "colorsOrder" => "ColorsOrder",
                         "dnnModelFactory" => "string",
                         "bertArchitecture" => "BertArchitecture",
+                        "imageClassificationArchType" => "Microsoft.ML.Vision.ImageClassificationTrainer.Architecture",
                         _ => throw new ArgumentException("unknown type"),
                     };
 
@@ -72,6 +73,7 @@ public void Execute(GeneratorExecutionContext context)
                         (_, "ColorBits") => defaultToken.GetValue<string>(),
                         (_, "ColorsOrder") => defaultToken.GetValue<string>(),
                         (_, "BertArchitecture") => defaultToken.GetValue<string>(),
+                        (_, "Microsoft.ML.Vision.ImageClassificationTrainer.Architecture") => defaultToken.GetValue<string>(),
                         (_, _) => throw new ArgumentException("unknown"),
                     };
 

tools-local/Microsoft.ML.AutoML.SourceGenerator/Template/SearchSpace.cs

@@ -33,7 +33,7 @@ public virtual string TransformText()
 using ResizingKind = Microsoft.ML.Transforms.Image.ImageResizingEstimator.ResizingKind;
 using Anchor = Microsoft.ML.Transforms.Image.ImageResizingEstimator.Anchor;
 using BertArchitecture = Microsoft.ML.TorchSharp.NasBert.BertArchitecture;
-
+using static Microsoft.ML.Vision.ImageClassificationTrainer.Architecture;
 #nullable enable
 
 namespace ");

tools-local/Microsoft.ML.AutoML.SourceGenerator/Template/SearchSpace.tt

@@ -11,7 +11,7 @@ using ColorBits = Microsoft.ML.Transforms.Image.ImagePixelExtractingEstimator.Co
 using ResizingKind = Microsoft.ML.Transforms.Image.ImageResizingEstimator.ResizingKind;
 using Anchor = Microsoft.ML.Transforms.Image.ImageResizingEstimator.Anchor;
 using BertArchitecture = Microsoft.ML.TorchSharp.NasBert.BertArchitecture;
-
+using static Microsoft.ML.Vision.ImageClassificationTrainer.Architecture;
 #nullable enable
 
 namespace <#=NameSpace#>