GradientConcatTest

MPnoy · Oceania2018 · commit bf9c1adac7e4 · 2021-04-24T07:24:17.000-05:00
diff --git a/test/TensorFlowNET.UnitTest/ManagedAPI/GradientTest.cs b/test/TensorFlowNET.UnitTest/ManagedAPI/GradientTest.cs
@@ -1,4 +1,5 @@
 ﻿using Microsoft.VisualStudio.TestTools.UnitTesting;
+using NumSharp;
 using Tensorflow;
 using static Tensorflow.Binding;
 
@@ -65,15 +66,16 @@ public void GradientSliceTest()
         [TestMethod]
         public void GradientConcatTest()
         {
-            var X = tf.zeros(10);
-            var W = tf.Variable(-0.06f, name: "weight");
-            var b = tf.Variable(-0.73f, name: "bias");
-            var test = tf.concat(new Tensor[] { W, b }, 0);
+            var w1 = tf.Variable(new[] { new[] { 1f } });
+            var w2 = tf.Variable(new[] { new[] { 3f } });
             using var g = tf.GradientTape();
-            var pred = test[0] * X + test[1];
-            var gradients = g.gradient(pred, (W, b));
-            Assert.IsNull(gradients.Item1);
-            Assert.IsNull(gradients.Item2);
+            var w = tf.concat(new Tensor[] { w1, w2 }, 0);
+            var x = tf.ones((1, 2));
+            var y = tf.reduce_sum(x, 1);
+            var r = tf.matmul(w, x);
+            var gradients = g.gradient(r, w);
+            Assert.AreEqual((float)gradients[0][0], 2f);
+            Assert.AreEqual((float)gradients[1][0], 2f);
         }
     }
 }
