Fix some tests

MatthieuHernandez · Nov 3, 2024 · 52b128b · 52b128b
1 parent 5081c5e
commit 52b128b
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Showing 3 changed files with 15 additions and 9 deletions.
diff --git a/tests/dataset_tests/Fashion-MNIST/FashionMnistTest.cpp b/tests/dataset_tests/Fashion-MNIST/FashionMnistTest.cpp
@@ -55,13 +55,14 @@ TEST_F(FashionMnistTest, convolutionNeuralNetwork)
 {
     StraightforwardNeuralNetwork neuralNetwork({
         Input(1, 28, 28),
-        Convolution(5, 5, activation::ReLU),
+        Convolution(8, 3, activation::ReLU),
+        Convolution(24, 5, activation::ReLU),
         FullyConnected(10)
     },
-        StochasticGradientDescent(0.002f, 0.95f));
+        StochasticGradientDescent(0.0002f, 0.80f));
     neuralNetwork.train(*data, 1_ep || 20_s);
     auto accuracy = neuralNetwork.getGlobalClusteringRate();
-    ASSERT_ACCURACY(accuracy, 0.75f);
+    ASSERT_ACCURACY(accuracy, 0.70f);
 }
 
 TEST_F(FashionMnistTest, DISABLED_trainBestNeuralNetwork)

diff --git a/tests/unit_tests/AdditionTests.cpp b/tests/unit_tests/AdditionTests.cpp
@@ -15,10 +15,11 @@ TEST(Addition, WithMPL)
     auto data = createDataForAdditionTests();
     StraightforwardNeuralNetwork neuralNetwork({
         Input(2),
-        FullyConnected(8, activation::sigmoid),
+        FullyConnected(16, activation::sigmoid),
         FullyConnected(1, activation::identity)
-    });
-    neuralNetwork.train(*data, 1.0_acc || 2_s, 3, 4);
+    },
+        StochasticGradientDescent(0.01f));
+    neuralNetwork.train(*data, 1.0_acc || 1_s, 3, 4);
     testNeuralNetworkForAddition(neuralNetwork);
 }
 

diff --git a/tests/unit_tests/IdentityTests.cpp b/tests/unit_tests/IdentityTests.cpp
@@ -57,8 +57,12 @@ TEST(Identity, WorksWithLotsOfNumbers)
     Data data(problem::regression, inputData, expectedOutputs);
     data.setPrecision(precision);
 
-    StraightforwardNeuralNetwork neuralNetwork({Input(1), FullyConnected(8), FullyConnected(1, snn::activation::identity)},
-        StochasticGradientDescent(0.0002f, 0.99f));
+    StraightforwardNeuralNetwork neuralNetwork({
+        Input(1),
+        FullyConnected(30),
+        FullyConnected(1, activation::identity)
+    },
+        StochasticGradientDescent(0.001f, 0.80f));
 
     neuralNetwork.train(data, 1.00_acc || 2_s);
 
@@ -70,5 +74,5 @@ TEST(Identity, WorksWithLotsOfNumbers)
         && neuralNetwork.isValid() == 0)
         ASSERT_SUCCESS();
     else
-        ASSERT_FAIL("MAE > 1: " + to_string(mae));
+        ASSERT_FAIL("MAE > 0.4: " + to_string(mae));
 }