更新Mes

test/TensorFlowNET.UnitTest/Keras/MeanSquaredError.Test.cs

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+using Microsoft.VisualStudio.TestTools.UnitTesting;
+using NumSharp;
+using Tensorflow;
+using Tensorflow.Keras.Losses;
+using static Tensorflow.Binding;
+using static Tensorflow.KerasApi;
+
+namespace TensorFlowNET.UnitTest.Keras
+{
+    [TestClass]
+    public class MeanSquaredErrorTest 
+    {
+        //https://keras.io/api/losses/regression_losses/#meansquarederror-class
+
+        private NDArray y_true = new double[,] { { 0.0, 1.0 }, { 0.0, 0.0 } };
+        private NDArray y_pred = new double[,] { { 1.0, 1.0 }, { 1.0, 0.0 } };
+
+        [TestMethod]
+      
+        public void Mse_Double()
+        {
+            var mse = keras.losses.MeanSquaredError();
+            var call = mse.Call(y_true, y_pred);
+            Assert.AreEqual((NDArray)0.5, call.numpy()) ;
+        }
+
+        [TestMethod]
+      
+        public void Mse_Float()
+        {
+            NDArray y_true_float = new float[,] { { 0.0f, 1.0f }, { 0.0f, 0.0f } };
+            NDArray y_pred_float = new float[,] { { 1.0f, 1.0f }, { 1.0f, 0.0f } };
+
+            var mse = keras.losses.MeanSquaredError();
+            var call = mse.Call(y_true_float, y_pred_float);
+            Assert.AreEqual((NDArray)0.5, call.numpy());
+        }
+
+        [TestMethod]
+
+        public void Mse_Sample_Weight()
+        {
+            var mse = keras.losses.MeanSquaredError();
+            var call = mse.Call(y_true, y_pred, sample_weight: (NDArray)new double[] { 0.7, 0.3 });
+            Assert.AreEqual((NDArray)0.25, call.numpy());
+        }
+
+        [TestMethod]
+        public void Mse_Reduction_SUM()
+        {
+            var mse = keras.losses.MeanSquaredError(reduction: Reduction.SUM);
+            var call = mse.Call(y_true, y_pred);
+            Assert.AreEqual((NDArray)1.0, call.numpy());
+        }
+
+        [TestMethod]
+
+        public void Mse_Reduction_NONE()
+        {
+            var mse = keras.losses.MeanSquaredError(reduction: Reduction.NONE);
+            var call = mse.Call(y_true, y_pred);
+            Assert.AreEqual((NDArray)new double[] { 0.5, 0.5 }, call.numpy());
+        }
+    }
+}