boxed module handles

Author: dsyme

.editorconfig

@@ -15,6 +15,11 @@ max_line_length = 120
 indent_style = space
 indent_size = 2
 
+# C++
+[*.{cpp,h,hpp,c}]
+indent_style = space
+indent_size = 4
+
 # XML config files
 [*.{config,nuspec,resx}]
 indent_style = space

src/Examples/AlexNet.cs

@@ -47,13 +47,13 @@ static void Main(string[] args)
             }
         }
 
-        private class Model : NN.Module
+        private class Model : CustomModule
         {
-            private readonly NN.Sequential features;
-            private readonly NN.AdaptiveAvgPool2D avgPool;
-            private readonly NN.Sequential classifier;
+            private readonly Sequential features;
+            private readonly AdaptiveAvgPool2D avgPool;
+            private readonly Sequential classifier;
 
-            public Model(int numClasses)
+            public Model(int numClasses) 
             {
                 features = Sequential(
                     ("c1", Conv2D(3, 64, kernelSize: 3, stride: 2, padding: 1)),
@@ -87,7 +87,7 @@ public Model(int numClasses)
                 RegisterModule ("classify", classifier);
             }
 
-            public TorchTensor Forward(TorchTensor input)
+            public override TorchTensor Forward(TorchTensor input)
             {
                 using (var f = features.Forward(input))
                 using (var avg = avgPool.Forward(f))

src/Examples/MNIST.cs

@@ -43,12 +43,12 @@ static void Main(string[] args)
             }
         }
 
-        private class Model : NN.Module
+        private class Model : CustomModule
         {
-            private NN.Conv2D conv1 = Conv2D(1, 10, 5);
-            private NN.Conv2D conv2 = Conv2D(10, 20, 5);
-            private NN.Linear fc1 = Linear(320, 50);
-            private NN.Linear fc2 = Linear(50, 10);
+            private Conv2D conv1 = Conv2D(1, 10, 5);
+            private Conv2D conv2 = Conv2D(10, 20, 5);
+            private Linear fc1 = Linear(320, 50);
+            private Linear fc2 = Linear(50, 10);
 
             public Model()
             {
@@ -58,7 +58,7 @@ public Model()
                 RegisterModule("lin2", fc2);
             }
 
-            public TorchTensor Forward(TorchTensor input)
+            public override TorchTensor Forward(TorchTensor input)
             {
                 using (var l11 = conv1.Forward(input))
                 using (var l12 = MaxPool2D (l11, kernelSize: new long[]{ 2 }))