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Merge pull request #13932 from l-bat:MyriadX_master_dldt

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* Fix precision in tests for MyriadX

* Fix ONNX tests

* Add output range in ONNX tests

* Skip tests on Myriad OpenVINO 2018R5

* Add detect MyriadX

* Add detect MyriadX on OpenVINO R5

* Skip tests on Myriad next version of OpenVINO

* dnn(ie): VPU type from environment variable

* dnn(test): validate VPU type

* dnn(test): update DLIE test skip conditions
This commit is contained in:
Lubov Batanina
2019-03-29 16:42:58 +03:00
committed by Alexander Alekhin
parent 982e6fc721
commit 7d3d6bc4e2
19 changed files with 1024 additions and 417 deletions
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modules/dnn/test/test_layers.cpp
+23 -10
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@@ -236,9 +236,9 @@ TEST_P(Test_Caffe_layers, Dropout)
TEST_P(Test_Caffe_layers, Concat)
{
#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_RELEASE > 2018050000
#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_GT(2018050000)
if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD)
throw SkipTestException("");
throw SkipTestException("Test is disabled for Myriad targets");
#endif
testLayerUsingCaffeModels("layer_concat");
testLayerUsingCaffeModels("layer_concat_optim", true, false);
@@ -247,14 +247,19 @@ TEST_P(Test_Caffe_layers, Concat)
TEST_P(Test_Caffe_layers, Fused_Concat)
{
#if defined(INF_ENGINE_RELEASE)
#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_GT(2018050000)
if (backend == DNN_BACKEND_INFERENCE_ENGINE)
{
if (target == DNN_TARGET_OPENCL || target == DNN_TARGET_OPENCL_FP16 ||
(INF_ENGINE_RELEASE < 2018040000 && target == DNN_TARGET_CPU))
throw SkipTestException("");
}
throw SkipTestException("Test is disabled for DLIE due negative_slope parameter");
#endif
#if defined(INF_ENGINE_RELEASE)
if (backend == DNN_BACKEND_INFERENCE_ENGINE
&& (target == DNN_TARGET_OPENCL || target == DNN_TARGET_OPENCL_FP16
|| (INF_ENGINE_RELEASE < 2018040000 && target == DNN_TARGET_CPU))
)
throw SkipTestException("Test is disabled for DLIE");
#endif
checkBackend();
// Test case
@@ -312,7 +317,10 @@ TEST_P(Test_Caffe_layers, layer_prelu_fc)
{
if (backend == DNN_BACKEND_OPENCV && target == DNN_TARGET_OPENCL_FP16)
throw SkipTestException("");
testLayerUsingCaffeModels("layer_prelu_fc", true, false);
// Reference output values are in range [-0.0001, 10.3906]
double l1 = (target == DNN_TARGET_MYRIAD) ? 0.005 : 0.0;
double lInf = (target == DNN_TARGET_MYRIAD) ? 0.021 : 0.0;
testLayerUsingCaffeModels("layer_prelu_fc", true, false, l1, lInf);
}
//template<typename XMat>
@@ -358,6 +366,11 @@ TEST_P(Test_Caffe_layers, Reshape_Split_Slice)
TEST_P(Test_Caffe_layers, Conv_Elu)
{
#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_RELEASE <= 2018050000
if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD)
throw SkipTestException("");
#endif
Net net = readNetFromTensorflow(_tf("layer_elu_model.pb"));
ASSERT_FALSE(net.empty());
@@ -938,7 +951,7 @@ TEST_P(Layer_Test_Convolution_DLDT, Accuracy)
Mat out = net.forward();
double l1 = (targetId == DNN_TARGET_OPENCL_FP16 || targetId == DNN_TARGET_MYRIAD) ? 1.4e-3 : 1e-5;
double l1 = (targetId == DNN_TARGET_OPENCL_FP16 || targetId == DNN_TARGET_MYRIAD) ? 1.5e-3 : 1e-5;
double lInf = (targetId == DNN_TARGET_OPENCL_FP16 || targetId == DNN_TARGET_MYRIAD) ? 1.8e-2 : 1e-4;
normAssert(outDefault, out, "", l1, lInf);