Fix Normalize layer for Mac

pull/14345/head
Dmitry Kurtaev 6 years ago
parent c9a76ede94
commit 62d079fa69
  1. 20
      modules/dnn/src/layers/normalize_bbox_layer.cpp

@ -275,13 +275,13 @@ public:
InferenceEngine::Blob::Ptr weights;
if (blobs.empty())
{
auto onesBlob = InferenceEngine::make_shared_blob<float>(InferenceEngine::Precision::FP32,
InferenceEngine::Layout::C,
{(size_t)numChannels});
onesBlob->allocate();
std::vector<float> ones(numChannels, 1);
onesBlob->set(ones);
weights = onesBlob;
weights = InferenceEngine::make_shared_blob<float>(InferenceEngine::Precision::FP32,
InferenceEngine::Layout::C,
{(size_t)numChannels});
weights->allocate();
Mat weightsMat = infEngineBlobToMat(weights).reshape(1, numChannels);
Mat(numChannels, 1, CV_32F, Scalar(1)).copyTo(weightsMat);
l.getParameters()["channel_shared"] = false;
}
else
@ -290,11 +290,7 @@ public:
weights = wrapToInfEngineBlob(blobs[0], {(size_t)numChannels}, InferenceEngine::Layout::C);
l.getParameters()["channel_shared"] = blobs[0].total() == 1;
}
#if INF_ENGINE_VER_MAJOR_GE(INF_ENGINE_RELEASE_2019R1)
l.getParameters()["weights"] = weights;
#else
l.addConstantData("weights", weights);
#endif
addConstantData("weights", weights, l);
l.getParameters()["across_spatial"] = acrossSpatial;
return Ptr<BackendNode>(new InfEngineBackendNode(l));
}

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