From f7b8dba00b2465114926072d4a82924dc35596d7 Mon Sep 17 00:00:00 2001
From: Alexander <novikov_alexander@live.ru>
Date: Wed, 8 Nov 2023 15:16:02 +0000
Subject: [PATCH] small fixes

---
 .../Training/GradientDescentOptimizerTests.cs      | 14 ++++++--------
 1 file changed, 6 insertions(+), 8 deletions(-)

diff --git a/test/TensorFlowNET.UnitTest/Training/GradientDescentOptimizerTests.cs b/test/TensorFlowNET.UnitTest/Training/GradientDescentOptimizerTests.cs
index 3059068f..1a650a86 100644
--- a/test/TensorFlowNET.UnitTest/Training/GradientDescentOptimizerTests.cs
+++ b/test/TensorFlowNET.UnitTest/Training/GradientDescentOptimizerTests.cs
@@ -1,4 +1,5 @@
-using Microsoft.VisualStudio.TestTools.UnitTesting;
+using Microsoft.VisualStudio.TestPlatform.Utilities;
+using Microsoft.VisualStudio.TestTools.UnitTesting;
 using System;
 using System.Linq;
 using Tensorflow.NumPy;
@@ -20,7 +21,7 @@ namespace Tensorflow.Keras.UnitTest.Optimizers
             };
         }
 
-        private void TestBasicGeneric<T>() where T : struct
+        private void TestBasic<T>() where T : struct
         {
             var dtype = GetTypeForNumericType<T>();
 
@@ -42,11 +43,9 @@ namespace Tensorflow.Keras.UnitTest.Optimizers
                 var global_variables = tf.global_variables_initializer();
                 sess.run(global_variables);
 
-                // Fetch params to validate initial values
                 var initialVar0 = sess.run(var0);
-                var valu = var0.eval(sess);
                 var initialVar1 = sess.run(var1);
-                // TODO: use self.evaluate<T[]> instead of self.evaluate<double[]>
+                // Fetch params to validate initial values
                 self.assertAllCloseAccordingToType(new[] { 1.0, 2.0 }, self.evaluate<T[]>(var0));
                 self.assertAllCloseAccordingToType(new[] { 3.0, 4.0 }, self.evaluate<T[]>(var1));
                 // Run 1 step of sgd
@@ -66,10 +65,9 @@ namespace Tensorflow.Keras.UnitTest.Optimizers
         public void TestBasic()
         {
             //TODO: add np.half
-            TestBasicGeneric<float>();
-            TestBasicGeneric<double>();
+            TestBasic<float>();
+            TestBasic<double>();
         }
 
-
     }
 }