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Merge remote-tracking branch 'upstream/3.4' into merge-3.4

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This commit is contained in:
Alexander Alekhin 2019-04-02 20:54:41 +00:00
commit 5dc606097c
3 changed files with 6 additions and 5 deletions
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2
modules/dnn/src/layers/convolution_layer.cpp
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@ -676,7 +676,7 @@ public:
int inpCnAll = input.size[1], width = input.size[3], height = input.size[2];
int inpCn = inpCnAll / ngroups;
p.is1x1_ = kernel == Size(0,0) && pad == Size(0, 0);
p.is1x1_ = kernel == Size(1,1) && pad == Size(0, 0);
p.useAVX = checkHardwareSupport(CPU_AVX);
p.useAVX2 = checkHardwareSupport(CPU_AVX2);
p.useAVX512 = CV_CPU_HAS_SUPPORT_AVX512_SKX;

2
modules/dnn/src/tensorflow/tf_importer.cpp
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@ -942,7 +942,7 @@ void TFImporter::populateNet(Net dstNet)
if (getDataLayout(name, data_layouts) == DATA_LAYOUT_UNKNOWN)
data_layouts[name] = DATA_LAYOUT_NHWC;
}
else if (type == "BiasAdd" || type == "Add" || type == "Sub")
else if (type == "BiasAdd" || type == "Add" || type == "Sub" || type=="AddN")
{
bool haveConst = false;
for(int ii = 0; !haveConst && ii < layer.input_size(); ++ii)

7
modules/dnn/test/test_ie_models.cpp
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@ -178,12 +178,13 @@ TEST_P(DNNTestOpenVINO, models)
Target target = (dnn::Target)(int)get<0>(GetParam());
std::string modelName = get<1>(GetParam());
std::string precision = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD) ? "FP16" : "FP32";
std::string prefix;
#ifdef INF_ENGINE_RELEASE
#if INF_ENGINE_RELEASE <= 2018050000
std::string prefix = utils::fs::join("intel_models",
utils::fs::join(modelName,
utils::fs::join(precision, modelName)));
prefix = utils::fs::join("intel_models",
utils::fs::join(modelName,
utils::fs::join(precision, modelName)));
#endif
#endif