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Merge pull request #24056 from dkurt:eltwise_prelu

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PReLU with element-wise scales #24056

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/24051

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:
Dmitry Kurtaev
2023-07-27 16:36:40 +03:00
committed by GitHub
parent ab6bffc6f8
commit 677a28fd2a
4 changed files with 141 additions and 15 deletions
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modules/dnn/test/test_tf_importer.cpp
+7 -1
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@@ -1675,6 +1675,7 @@ TEST_P(Test_TensorFlow_layers, clip_by_value)
TEST_P(Test_TensorFlow_layers, tf2_prelu)
{
double l1 = 0, lInf = 0;
if (backend == DNN_BACKEND_CUDA)
applyTestTag(CV_TEST_TAG_DNN_SKIP_CUDA); // not supported; only across channels is supported
#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_EQ(2022010000)
@@ -1686,6 +1687,11 @@ TEST_P(Test_TensorFlow_layers, tf2_prelu)
applyTestTag(target == DNN_TARGET_OPENCL ? CV_TEST_TAG_DNN_SKIP_IE_OPENCL : CV_TEST_TAG_DNN_SKIP_IE_OPENCL_FP16,
CV_TEST_TAG_DNN_SKIP_IE_NGRAPH, CV_TEST_TAG_DNN_SKIP_IE_VERSION
);
#elif defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_GE(2023000000)
if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH && target == DNN_TARGET_OPENCL) {
l1 = 1e-4;
lInf = 1e-3;
}
#elif defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_EQ(2021040000)
if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH)
{
@@ -1705,7 +1711,7 @@ TEST_P(Test_TensorFlow_layers, tf2_prelu)
applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_NGRAPH);
#endif
runTensorFlowNet("tf2_prelu");
runTensorFlowNet("tf2_prelu", false, l1, lInf);
}
TEST_P(Test_TensorFlow_layers, tf2_permute_nhwc_ncwh)