From 5319772a565228f5d25a55d607b5f52102f960ae Mon Sep 17 00:00:00 2001
From: Abduragim Shtanchaev <44877829+Abdurrahheem@users.noreply.github.com>
Date: Tue, 26 Mar 2024 16:13:41 +0400
Subject: [PATCH] Merge pull request #25205 from Abdurrahheem:ash/0D-split-test

0D test for split layer #25205

This PR introduces parametrized `0/1D` input support test for `Split` layer.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
---
 modules/dnn/test/test_layers_1d.cpp | 36 +++++++++++++++++++++++++++++
 1 file changed, 36 insertions(+)

diff --git a/modules/dnn/test/test_layers_1d.cpp b/modules/dnn/test/test_layers_1d.cpp
index 114900abaf..3f734a53a6 100644
--- a/modules/dnn/test/test_layers_1d.cpp
+++ b/modules/dnn/test/test_layers_1d.cpp
@@ -271,4 +271,40 @@ TEST(Layer_Reshape_Test, Accuracy)
     normAssert(output_ref, outputs[0]);
 }
 
+typedef testing::TestWithParam<tuple<std::vector<int>>> Layer_Split_Test;
+TEST_P(Layer_Split_Test, Accuracy_01D)
+{
+    LayerParams lp;
+    lp.type = "Split";
+    lp.name = "SplitLayer";
+    int top_count = 2; // 2 is for simplicity
+    lp.set("top_count", top_count);
+    Ptr<SplitLayer> layer = SplitLayer::create(lp);
+
+    std::vector<int> input_shape = std::get<0>(GetParam());
+
+    Mat input(input_shape.size(), input_shape.data(), CV_32F);
+    cv::randn(input, 0.0, 1.0);
+
+    Mat output_ref = Mat(input_shape.size(), input_shape.data(), CV_32F, input.data);
+
+    std::vector<Mat> inputs{input};
+    std::vector<Mat> outputs;
+    runLayer(layer, inputs, outputs);
+    for (int i = 0; i < top_count; i++)
+    {
+        ASSERT_EQ(shape(output_ref), shape(outputs[i]));
+        normAssert(output_ref, outputs[i]);
+    }
+}
+INSTANTIATE_TEST_CASE_P(/*nothting*/, Layer_Split_Test,
+                        testing::Values(
+                            std::vector<int>({}),
+                            std::vector<int>({1}),
+                            std::vector<int>({1, 4}),
+                            std::vector<int>({1, 5}),
+                            std::vector<int>({4, 1}),
+                            std::vector<int>({4, 5})
+));
+
 }}