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Merge pull request #24039 from dkurt:tflite_test_backends

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TFLite models on different backends (tests and improvements) #24039

### Pull Request Readiness Checklist

* MaxUnpooling with OpenVINO
* Fully connected with transposed inputs/weights with OpenVINO
* Enable backends tests for TFLite (related to https://github.com/opencv/opencv/issues/23992#issuecomment-1640691722)
* Increase existing tests thresholds

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
2023-08-04 11:28:51 +03:00
committed by GitHub
parent 96f23e3da1
commit 4b8aeb1129
12 changed files with 211 additions and 67 deletions
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modules/dnn/test/test_layers.cpp
+7 -1
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@@ -215,7 +215,13 @@ TEST_P(Test_Caffe_layers, InnerProduct)
if (backend == DNN_BACKEND_OPENCV && target == DNN_TARGET_CPU_FP16)
applyTestTag(CV_TEST_TAG_DNN_SKIP_CPU_FP16);
testLayerUsingCaffeModels("layer_inner_product", true);
double l1 = 0.0, lInf = 0.0;
if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH && (target == DNN_TARGET_OPENCL || target == DNN_TARGET_OPENCL_FP16))
{
l1 = 5e-3;
lInf = 2e-2;
}
testLayerUsingCaffeModels("layer_inner_product", true, true, l1, lInf);
}
TEST_P(Test_Caffe_layers, Pooling_max)