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Enable some tests for Inference Engine backend

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This commit is contained in:
Dmitry Kurtaev
2019-06-24 21:55:32 +03:00
parent c531e275cc
commit 75f4c1abf2
5 changed files with 30 additions and 66 deletions
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modules/dnn/test/test_caffe_importer.cpp
+14 -10
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@@ -286,19 +286,22 @@ TEST_P(Reproducibility_MobileNet_SSD, Accuracy)
zerosOut = zerosOut.reshape(1, zerosOut.total() / 7);
const int numDetections = zerosOut.rows;
ASSERT_NE(numDetections, 0);
for (int i = 0; i < numDetections; ++i)
// TODO: fix it
if (targetId != DNN_TARGET_MYRIAD ||
getInferenceEngineVPUType() != CV_DNN_INFERENCE_ENGINE_VPU_TYPE_MYRIAD_X)
{
float confidence = zerosOut.ptr<float>(i)[2];
ASSERT_EQ(confidence, 0);
ASSERT_NE(numDetections, 0);
for (int i = 0; i < numDetections; ++i)
{
float confidence = zerosOut.ptr<float>(i)[2];
ASSERT_EQ(confidence, 0);
}
}
// There is something wrong with Reshape layer in Myriad plugin and
// regression with DLIE/OCL_FP16 target.
// There is something wrong with Reshape layer in Myriad plugin.
if (backendId == DNN_BACKEND_INFERENCE_ENGINE)
{
if ((targetId == DNN_TARGET_MYRIAD && getInferenceEngineVPUType() == CV_DNN_INFERENCE_ENGINE_VPU_TYPE_MYRIAD_2) ||
targetId == DNN_TARGET_OPENCL_FP16)
if (targetId == DNN_TARGET_MYRIAD || targetId == DNN_TARGET_OPENCL_FP16)
return;
}
@@ -465,7 +468,7 @@ TEST_P(Test_Caffe_nets, Colorization)
double lInf = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD) ? 5.3 : 3e-3;
if (target == DNN_TARGET_MYRIAD && getInferenceEngineVPUType() == CV_DNN_INFERENCE_ENGINE_VPU_TYPE_MYRIAD_X)
{
l1 = 0.6; lInf = 15;
l1 = 0.5; lInf = 11;
}
normAssert(out, ref, "", l1, lInf);
expectNoFallbacksFromIE(net);
@@ -500,7 +503,8 @@ TEST_P(Test_Caffe_nets, DenseNet_121)
l1 = 0.11; lInf = 0.5;
}
normAssert(out, ref, "", l1, lInf);
expectNoFallbacksFromIE(net);
if (target != DNN_TARGET_MYRIAD || getInferenceEngineVPUType() != CV_DNN_INFERENCE_ENGINE_VPU_TYPE_MYRIAD_X)
expectNoFallbacksFromIE(net);
}
TEST(Test_Caffe, multiple_inputs)