Finish RandomNormal.call().

Override TensorShape.ToString().

src/TensorFlowNET.Core/Operations/Initializers/RandomNormal.cs

@@ -40,12 +40,20 @@ namespace Tensorflow.Operations.Initializers
 
         public Tensor call(TensorShape shape, TF_DataType dtype = TF_DataType.DtInvalid)
         {
-            throw new NotImplementedException();
+            if (dtype == TF_DataType.DtInvalid)
+                dtype = this.dtype;
+            return random_ops.random_normal(shape, mean, stddev, dtype, seed: seed);
         }
 
         public object get_config()
         {
-            throw new NotImplementedException();
+            return new
+            {
+                mean,
+                stddev,
+                seed,
+                dtype
+            };
         }
     }
 }

src/TensorFlowNET.Core/Tensors/TensorShape.cs

@@ -143,6 +143,11 @@ namespace Tensorflow
             }
         }
 
+        public override string ToString()
+        {
+            return shape.ToString();
+        }
+
         public static implicit operator TensorShape(Shape shape) => new TensorShape((int[]) shape.Dimensions.Clone());
         public static implicit operator Shape(TensorShape shape) => new Shape((int[]) shape.dims.Clone());
         

test/TensorFlowNET.Examples/ImageProcessing/YOLO/Main.cs

@@ -91,7 +91,7 @@ namespace TensorFlowNET.Examples.ImageProcessing.YOLO
 
             tf_with(tf.name_scope("define_loss"), scope =>
             {
-                // model = new YOLOv3(cfg, input_data, trainable);
+                model = new YOLOv3(cfg, input_data, trainable);
             });
 
             tf_with(tf.name_scope("define_weight_decay"), scope =>

test/TensorFlowNET.Examples/ImageProcessing/YOLO/YOLOv3.cs

@@ -37,6 +37,21 @@ namespace TensorFlowNET.Examples.ImageProcessing.YOLO
             upsample_method = cfg.YOLO.UPSAMPLE_METHOD;
 
             (conv_lbbox, conv_mbbox, conv_sbbox) = __build_nework(input_data);
+
+            tf_with(tf.variable_scope("pred_sbbox"), scope =>
+            {
+                // pred_sbbox = decode(conv_sbbox, anchors[0], strides[0]);
+            });
+
+            tf_with(tf.variable_scope("pred_mbbox"), scope =>
+            {
+                // pred_sbbox = decode(conv_sbbox, anchors[0], strides[0]);
+            });
+
+            tf_with(tf.variable_scope("pred_lbbox"), scope =>
+            {
+                // pred_sbbox = decode(conv_sbbox, anchors[0], strides[0]);
+            });
         }
 
         private (Tensor, Tensor, Tensor) __build_nework(Tensor input_data)