From: Maksim Shabunin <maksim.shabunin@gmail.com>
Date: Thu, 19 Jul 2018 16:22:23 +0000 (+0300)
Subject: dnn, IE backend: updated to match new interface
X-Git-Tag: accepted/tizen/6.0/unified/20201030.111113~1^2~599^2~13^2
X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=a4060e15a4fd5dde58adec0c7db5b3202523b690;p=platform%2Fupstream%2Fopencv.git

dnn, IE backend: updated to match new interface
---

diff --git a/modules/dnn/src/op_inf_engine.cpp b/modules/dnn/src/op_inf_engine.cpp
index f60efef..bcf2c2a 100644
--- a/modules/dnn/src/op_inf_engine.cpp
+++ b/modules/dnn/src/op_inf_engine.cpp
@@ -180,10 +180,15 @@ InferenceEngine::Precision InfEngineBackendNet::getPrecision() noexcept
     return precision;
 }
 
+InferenceEngine::Precision InfEngineBackendNet::getPrecision() const noexcept
+{
+    return precision;
+}
+
 // Assume that outputs of network is unconnected blobs.
 void InfEngineBackendNet::getOutputsInfo(InferenceEngine::OutputsDataMap &outputs_) noexcept
 {
-    outputs_ = outputs;
+    const_cast<const InfEngineBackendNet*>(this)->getOutputsInfo(outputs_);
 }
 void InfEngineBackendNet::getOutputsInfo(InferenceEngine::OutputsDataMap &outputs_) const noexcept
 {
@@ -193,7 +198,7 @@ void InfEngineBackendNet::getOutputsInfo(InferenceEngine::OutputsDataMap &output
 // Returns input references that aren't connected to internal outputs.
 void InfEngineBackendNet::getInputsInfo(InferenceEngine::InputsDataMap &inputs_) noexcept
 {
-    inputs_ = inputs;
+    const_cast<const InfEngineBackendNet*>(this)->getInputsInfo(inputs_);
 }
 
 // Returns input references that aren't connected to internal outputs.
@@ -204,7 +209,11 @@ void InfEngineBackendNet::getInputsInfo(InferenceEngine::InputsDataMap &inputs_)
 
 InferenceEngine::InputInfo::Ptr InfEngineBackendNet::getInput(const std::string &inputName) noexcept
 {
-    getInputsInfo(inputs);
+    return const_cast<const InfEngineBackendNet*>(this)->getInput(inputName);
+}
+
+InferenceEngine::InputInfo::Ptr InfEngineBackendNet::getInput(const std::string &inputName) const noexcept
+{
     const auto& it = inputs.find(inputName);
     CV_Assert(it != inputs.end());
     return it->second;
@@ -218,8 +227,18 @@ void InfEngineBackendNet::getName(char*, size_t) const noexcept
 {
 }
 
+const std::string& InfEngineBackendNet::getName() const noexcept
+{
+    return name;
+}
+
 size_t InfEngineBackendNet::layerCount() noexcept
 {
+    return const_cast<const InfEngineBackendNet*>(this)->layerCount();
+}
+
+size_t InfEngineBackendNet::layerCount() const noexcept
+{
     return layers.size();
 }
 
@@ -259,6 +278,13 @@ InferenceEngine::StatusCode
 InfEngineBackendNet::getLayerByName(const char *layerName, InferenceEngine::CNNLayerPtr &out,
                                     InferenceEngine::ResponseDesc *resp) noexcept
 {
+    return const_cast<const InfEngineBackendNet*>(this)->getLayerByName(layerName, out, resp);
+}
+
+InferenceEngine::StatusCode InfEngineBackendNet::getLayerByName(const char *layerName,
+                                                                InferenceEngine::CNNLayerPtr &out,
+                                                                InferenceEngine::ResponseDesc *resp) const noexcept
+{
     for (auto& l : layers)
     {
         if (l->name == layerName)
@@ -285,7 +311,12 @@ InferenceEngine::TargetDevice InfEngineBackendNet::getTargetDevice() noexcept
     return targetDevice;
 }
 
-InferenceEngine::StatusCode InfEngineBackendNet::setBatchSize(const size_t size) noexcept
+InferenceEngine::TargetDevice InfEngineBackendNet::getTargetDevice() const noexcept
+{
+    return targetDevice;
+}
+
+InferenceEngine::StatusCode InfEngineBackendNet::setBatchSize(const size_t) noexcept
 {
     CV_Error(Error::StsNotImplemented, "");
     return InferenceEngine::StatusCode::OK;
@@ -374,7 +405,9 @@ void InfEngineBackendNet::init(int targetId)
     switch (targetId)
     {
     case DNN_TARGET_CPU: setTargetDevice(InferenceEngine::TargetDevice::eCPU); break;
-    case DNN_TARGET_OPENCL_FP16: setPrecision(InferenceEngine::Precision::FP16);  // Fallback to the next.
+    case DNN_TARGET_OPENCL_FP16:
+        setPrecision(InferenceEngine::Precision::FP16);
+        /* Falls through. */
     case DNN_TARGET_OPENCL: setTargetDevice(InferenceEngine::TargetDevice::eGPU); break;
     case DNN_TARGET_MYRIAD:
     {
diff --git a/modules/dnn/src/op_inf_engine.hpp b/modules/dnn/src/op_inf_engine.hpp
index 4295e10..a33d93c 100644
--- a/modules/dnn/src/op_inf_engine.hpp
+++ b/modules/dnn/src/op_inf_engine.hpp
@@ -8,6 +8,8 @@
 #ifndef __OPENCV_DNN_OP_INF_ENGINE_HPP__
 #define __OPENCV_DNN_OP_INF_ENGINE_HPP__
 
+#include "opencv2/core/cvdef.h"
+
 #ifdef HAVE_INF_ENGINE
 #if defined(__GNUC__) && __GNUC__ >= 5
 //#pragma GCC diagnostic push
@@ -34,7 +36,9 @@ public:
 
     void setPrecision(InferenceEngine::Precision p) noexcept;
 
-    virtual InferenceEngine::Precision getPrecision() noexcept CV_OVERRIDE;
+    virtual InferenceEngine::Precision getPrecision() noexcept;
+
+    virtual InferenceEngine::Precision getPrecision() const noexcept;
 
     virtual void getOutputsInfo(InferenceEngine::OutputsDataMap &out) noexcept /*CV_OVERRIDE*/;
 
@@ -44,13 +48,19 @@ public:
 
     virtual void getInputsInfo(InferenceEngine::InputsDataMap &inputs) const noexcept /*CV_OVERRIDE*/;
 
-    virtual InferenceEngine::InputInfo::Ptr getInput(const std::string &inputName) noexcept CV_OVERRIDE;
+    virtual InferenceEngine::InputInfo::Ptr getInput(const std::string &inputName) noexcept;
+
+    virtual InferenceEngine::InputInfo::Ptr getInput(const std::string &inputName) const noexcept;
 
     virtual void getName(char *pName, size_t len) noexcept;
 
     virtual void getName(char *pName, size_t len) const noexcept;
 
-    virtual size_t layerCount() noexcept CV_OVERRIDE;
+    virtual const std::string& getName() const noexcept;
+
+    virtual size_t layerCount() noexcept;
+
+    virtual size_t layerCount() const noexcept;
 
     virtual InferenceEngine::DataPtr& getData(const char *dname) noexcept CV_OVERRIDE;
 
@@ -58,15 +68,21 @@ public:
 
     virtual InferenceEngine::StatusCode addOutput(const std::string &layerName,
                                                   size_t outputIndex = 0,
-                                                  InferenceEngine::ResponseDesc *resp = nullptr) noexcept CV_OVERRIDE;
+                                                  InferenceEngine::ResponseDesc *resp = nullptr) noexcept;
 
     virtual InferenceEngine::StatusCode getLayerByName(const char *layerName,
                                                        InferenceEngine::CNNLayerPtr &out,
-                                                       InferenceEngine::ResponseDesc *resp) noexcept CV_OVERRIDE;
+                                                       InferenceEngine::ResponseDesc *resp) noexcept;
+
+    virtual InferenceEngine::StatusCode getLayerByName(const char *layerName,
+                                                       InferenceEngine::CNNLayerPtr &out,
+                                                       InferenceEngine::ResponseDesc *resp) const noexcept;
 
     virtual void setTargetDevice(InferenceEngine::TargetDevice device) noexcept CV_OVERRIDE;
 
-    virtual InferenceEngine::TargetDevice getTargetDevice() noexcept CV_OVERRIDE;
+    virtual InferenceEngine::TargetDevice getTargetDevice() noexcept;
+
+    virtual InferenceEngine::TargetDevice getTargetDevice() const noexcept;
 
     virtual InferenceEngine::StatusCode setBatchSize(const size_t size) noexcept CV_OVERRIDE;
 
@@ -94,6 +110,8 @@ private:
     InferenceEngine::ExecutableNetwork netExec;
     InferenceEngine::InferRequest infRequest;
 
+    std::string name;
+
     void initPlugin(InferenceEngine::ICNNNetwork& net);
 };