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Intel Inference Engine deep learning backend (#10608)
* Intel Inference Engine deep learning backend. * OpenFace network using Inference Engine backend
This commit is contained in:
committed by
Vadim Pisarevsky
parent
292dfc2d72
commit
10e1de74d2
@@ -43,6 +43,7 @@
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#include "../precomp.hpp"
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#include "layers_common.hpp"
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#include "op_halide.hpp"
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#include "op_inf_engine.hpp"
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#include "opencl_kernels_dnn.hpp"
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#include <opencv2/dnn/shape_utils.hpp>
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@@ -127,7 +128,8 @@ public:
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virtual bool supportBackend(int backendId)
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{
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return backendId == DNN_BACKEND_DEFAULT ||
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backendId == DNN_BACKEND_HALIDE && haveHalide() && axis == 1;
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backendId == DNN_BACKEND_HALIDE && haveHalide() && axis == 1 ||
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backendId == DNN_BACKEND_INFERENCE_ENGINE && haveInfEngine() && axis == 1;
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}
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virtual bool setActivation(const Ptr<ActivationLayer>& layer)
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@@ -395,6 +397,24 @@ public:
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return Ptr<BackendNode>();
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}
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virtual Ptr<BackendNode> initInfEngine(const std::vector<Ptr<BackendWrapper> >&)
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{
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#ifdef HAVE_INF_ENGINE
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InferenceEngine::LayerParams lp;
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lp.name = name;
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lp.type = "FullyConnected";
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lp.precision = InferenceEngine::Precision::FP32;
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std::shared_ptr<InferenceEngine::FullyConnectedLayer> ieLayer(new InferenceEngine::FullyConnectedLayer(lp));
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ieLayer->_out_num = blobs[0].size[0];
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ieLayer->_weights = wrapToInfEngineBlob(blobs[0]);
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if (blobs.size() > 1)
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ieLayer->_biases = wrapToInfEngineBlob(blobs[1]);
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return Ptr<BackendNode>(new InfEngineBackendNode(ieLayer));
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#endif // HAVE_INF_ENGINE
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return Ptr<BackendNode>();
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}
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virtual int64 getFLOPS(const std::vector<MatShape> &inputs,
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const std::vector<MatShape> &outputs) const
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{
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