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dnn(test): update OpenVINO tests 2022.1.0

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This commit is contained in:
Alexander Alekhin
2022-03-30 19:03:38 +00:00
parent b687bc807a
commit 4d927e73f1
8 changed files with 625 additions and 110 deletions
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15
modules/dnn/test/test_torch_importer.cpp
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@@ -255,6 +255,19 @@ TEST_P(Test_Torch_layers, net_inception_block)
TEST_P(Test_Torch_layers, net_normalize)
{
#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_EQ(2022010000)
// Cannot get memory!
if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH && target == DNN_TARGET_CPU)
applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_CPU, CV_TEST_TAG_DNN_SKIP_IE_NGRAPH, CV_TEST_TAG_DNN_SKIP_IE_VERSION);
// Cannot get memory!
if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH && target == DNN_TARGET_MYRIAD)
applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD, CV_TEST_TAG_DNN_SKIP_IE_NGRAPH, CV_TEST_TAG_DNN_SKIP_IE_VERSION);
// Cannot get memory!
if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH && (target == DNN_TARGET_OPENCL || target == DNN_TARGET_OPENCL_FP16))
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
);
#endif
runTorchNet("net_normalize", "", false, true);
}
@@ -508,6 +521,8 @@ TEST_P(Test_Torch_nets, FastNeuralStyle_accuracy)
double normL1 = cvtest::norm(refBlob, out, cv::NORM_L1) / refBlob.total();
if (target == DNN_TARGET_MYRIAD)
EXPECT_LE(normL1, 4.0f);
else if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH && target == DNN_TARGET_OPENCL_FP16)
EXPECT_LE(normL1, 1.0f);
else
EXPECT_LE(normL1, 0.6f);
}