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Merge pull request #25409 from Abdurrahheem:ash/0D-tile-test

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0/1D test for tile layer #25409

This PR introduces `0/1D` test for `Tile` layer. It also add fuctionality to support `0/1D` cases.  


### 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
This commit is contained in:
Abduragim Shtanchaev
2024-05-14 20:34:04 +04:00
committed by GitHub
parent 021e5184bc
commit 17e6b3f931
2 changed files with 72 additions and 16 deletions
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modules/dnn/test/test_layers_1d.cpp
+42
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@@ -682,6 +682,48 @@ INSTANTIATE_TEST_CASE_P(/*nothing*/, Layer_Const_Test, testing::Values(
std::vector<int>({4, 1})
));
typedef testing::TestWithParam<std::vector<int>> Layer_Tile_Test;
TEST_P(Layer_Tile_Test, Accuracy_01D){
std::vector<int> input_shape = GetParam();
std::vector<int> repeats = {2, 2};
LayerParams lp;
lp.type = "Tile";
lp.name = "TileLayer";
lp.set("repeats", DictValue::arrayInt(repeats.data(), repeats.size()));
Ptr<TileLayer> layer = TileLayer::create(lp);
cv::Mat input = cv::Mat(input_shape.size(), input_shape.data(), CV_32F);
cv::randn(input, 0, 1);
std::vector<Mat> inputs{input};
std::vector<Mat> outputs;
runLayer(layer, inputs, outputs);
// Manually create the expected output for verification
cv::Mat output_ref = input.clone();
for (int i = 0; i < repeats.size(); ++i) {
cv::Mat tmp;
cv::repeat(output_ref, (i == 0 ? repeats[i] : 1), (i == 1 ? repeats[i] : 1), tmp);
output_ref = tmp;
}
ASSERT_EQ(outputs.size(), 1);
ASSERT_EQ(shape(outputs[0]), shape(output_ref));
normAssert(output_ref, outputs[0]);
}
INSTANTIATE_TEST_CASE_P(/*nothing*/, Layer_Tile_Test,
/*input blob shape*/ testing::Values(
std::vector<int>({}),
std::vector<int>({2}),
std::vector<int>({2, 1}),
std::vector<int>({1, 2}),
std::vector<int>({2, 2})
));
typedef testing::TestWithParam<tuple<std::vector<int>, std::string>> Layer_Einsum_Test;
TEST_P(Layer_Einsum_Test, Accuracy_01D)
{