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

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- [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
This commit is contained in:
Abduragim Shtanchaev 2024-03-26 16:13:41 +04:00 committed by GitHub
parent f0323fdd1e
commit 5319772a56
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@ -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})
));
}}