Merge pull request #17388 from alalek:dnn_update_network_dump

modules/dnn/src/dnn.cpp

@@ -1082,17 +1082,26 @@ static Ptr<BackendWrapper> wrapMat(int backendId, int targetId, cv::Mat& m)
 
 static int g_networkId = 0;
 
-struct Net::Impl
+detail::NetImplBase::NetImplBase()
+    : networkId(CV_XADD(&g_networkId, 1))
+    , networkDumpCounter(0)
+    , dumpLevel(DNN_NETWORK_DUMP)
+{
+    // nothing
+}
+
+std::string detail::NetImplBase::getDumpFileNameBase()
+{
+    std::string dumpFileNameBase = cv::format("ocv_dnn_net_%05d_%02d", networkId, networkDumpCounter++);
+    return dumpFileNameBase;
+}
+
+struct Net::Impl : public detail::NetImplBase
 {
     typedef std::map<int, LayerShapes> LayersShapesMap;
     typedef std::map<int, LayerData> MapIdToLayerData;
 
-    const int networkId; // network global identifier
-    int networkDumpCounter; // dump counter
-
     Impl()
-        : networkId(CV_XADD(&g_networkId, 1))
-        , networkDumpCounter(0)
     {
         //allocate fake net input layer
         netInputLayer = Ptr<DataLayer>(new DataLayer());
@@ -1256,7 +1265,7 @@ struct Net::Impl
     {
         CV_TRACE_FUNCTION();
 
-        if (DNN_NETWORK_DUMP > 0 && networkDumpCounter == 0)
+        if (dumpLevel && networkDumpCounter == 0)
         {
             dumpNetworkToFile();
         }
@@ -1339,7 +1348,7 @@ struct Net::Impl
 
             netWasAllocated = true;
 
-            if (DNN_NETWORK_DUMP > 0)
+            if (dumpLevel)
             {
                 dumpNetworkToFile();
             }
@@ -2043,7 +2052,7 @@ struct Net::Impl
                 }
 
                 if (net.empty()) {
-                    net = Ptr<InfEngineNgraphNet>(new InfEngineNgraphNet());
+                    net = Ptr<InfEngineNgraphNet>(new InfEngineNgraphNet(*this));
                 }
 
                 if (!fused) {
@@ -2087,7 +2096,7 @@ struct Net::Impl
                 }
             }
             else {
-                net = Ptr<InfEngineNgraphNet>(new InfEngineNgraphNet());
+                net = Ptr<InfEngineNgraphNet>(new InfEngineNgraphNet(*this));
             }
 
             if (!fused)
@@ -3126,7 +3135,8 @@ struct Net::Impl
     void dumpNetworkToFile()
     {
 #ifndef OPENCV_DNN_DISABLE_NETWORK_AUTO_DUMP
-        String dumpFileName = cv::format("ocv_dnn_net_%05d_%02d.dot", networkId, networkDumpCounter++);
+        string dumpFileNameBase = getDumpFileNameBase();
+        string dumpFileName = dumpFileNameBase + ".dot";
         try
         {
             string dumpStr = dump();
@@ -3185,7 +3195,7 @@ Net Net::Impl::createNetworkFromModelOptimizer(InferenceEngine::CNNNetwork& ieNe
     {
         auto fake_node = std::make_shared<ngraph::op::Parameter>(ngraph::element::f32, ngraph::Shape{});
         Ptr<InfEngineNgraphNode> backendNodeNGraph(new InfEngineNgraphNode(fake_node));
-        backendNodeNGraph->net = Ptr<InfEngineNgraphNet>(new InfEngineNgraphNet(ieNet));
+        backendNodeNGraph->net = Ptr<InfEngineNgraphNet>(new InfEngineNgraphNet(*(cvNet.impl), ieNet));
         backendNode = backendNodeNGraph;
     }
     else

modules/dnn/src/dnn_common.hpp

@@ -0,0 +1,34 @@
+// This file is part of OpenCV project.
+// It is subject to the license terms in the LICENSE file found in the top-level directory
+// of this distribution and at http://opencv.org/license.html.
+
+#ifndef __OPENCV_DNN_COMMON_HPP__
+#define __OPENCV_DNN_COMMON_HPP__
+
+#include <opencv2/dnn.hpp>
+
+namespace cv { namespace dnn {
+CV__DNN_EXPERIMENTAL_NS_BEGIN
+#define IS_DNN_OPENCL_TARGET(id) (id == DNN_TARGET_OPENCL || id == DNN_TARGET_OPENCL_FP16)
+Mutex& getInitializationMutex();
+void initializeLayerFactory();
+
+namespace detail {
+
+struct NetImplBase
+{
+    const int networkId;  // network global identifier
+    int networkDumpCounter;  // dump counter
+    int dumpLevel;  // level of information dumps (initialized through OPENCV_DNN_NETWORK_DUMP parameter)
+
+    NetImplBase();
+
+    std::string getDumpFileNameBase();
+};
+
+}  // namespace detail
+
+CV__DNN_EXPERIMENTAL_NS_END
+}}  // namespace
+
+#endif  // __OPENCV_DNN_COMMON_HPP__

modules/dnn/src/ie_ngraph.cpp

@@ -6,6 +6,9 @@
 // Third party copyrights are property of their respective owners.
 
 #include "precomp.hpp"
+
+#include <fstream>
+
 #include "ie_ngraph.hpp"
 
 #include <opencv2/dnn/shape_utils.hpp>
@@ -22,6 +25,8 @@ namespace cv { namespace dnn {
 
 #ifdef HAVE_DNN_NGRAPH
 
+static bool DNN_IE_SERIALIZE = utils::getConfigurationParameterBool("OPENCV_DNN_IE_SERIALIZE", false);
+
 // For networks with input layer which has an empty name, IE generates a name id[some_number].
 // OpenCV lets users use an empty input name and to prevent unexpected naming,
 // we can use some predefined name.
@@ -295,13 +300,16 @@ void InfEngineNgraphNode::setName(const std::string& name) {
     node->set_friendly_name(name);
 }
 
-InfEngineNgraphNet::InfEngineNgraphNet()
+InfEngineNgraphNet::InfEngineNgraphNet(detail::NetImplBase& netImpl)
+    : netImpl_(netImpl)
 {
     hasNetOwner = false;
     device_name = "CPU";
 }
 
-InfEngineNgraphNet::InfEngineNgraphNet(InferenceEngine::CNNNetwork& net) : cnn(net)
+InfEngineNgraphNet::InfEngineNgraphNet(detail::NetImplBase& netImpl, InferenceEngine::CNNNetwork& net)
+    : netImpl_(netImpl)
+    , cnn(net)
 {
     hasNetOwner = true;
     device_name = "CPU";
@@ -440,9 +448,27 @@ void InfEngineNgraphNet::init(Target targetId)
             ngraph_function->validate_nodes_and_infer_types();
         }
         cnn = InferenceEngine::CNNNetwork(ngraph_function);
-#ifdef _DEBUG  // TODO
+
-        //cnn.serialize("/tmp/cnn.xml", "/tmp/cnn.bin");
+        if (DNN_IE_SERIALIZE)
+        {
+#ifndef OPENCV_DNN_DISABLE_NETWORK_AUTO_DUMP
+            std::string dumpFileNameBase = netImpl_.getDumpFileNameBase();
+            try
+            {
+                cnn.serialize(dumpFileNameBase + "_ngraph.xml", dumpFileNameBase + "_ngraph.bin");
+            }
+            catch (const std::exception& e)
+            {
+                std::ofstream out((dumpFileNameBase + "_ngraph.error").c_str(), std::ios::out);
+                out << "Exception: " << e.what() << std::endl;
+            }
+            catch (...)
+            {
+                std::ofstream out((dumpFileNameBase + "_ngraph.error").c_str(), std::ios::out);
+                out << "Can't dump: unknown exception" << std::endl;
+            }
 #endif
+        }
     }
 
     switch (targetId)

modules/dnn/src/ie_ngraph.hpp

@@ -34,8 +34,8 @@ class InfEngineNgraphNode;
 class InfEngineNgraphNet
 {
 public:
-    InfEngineNgraphNet();
+    InfEngineNgraphNet(detail::NetImplBase& netImpl);
-    InfEngineNgraphNet(InferenceEngine::CNNNetwork& net);
+    InfEngineNgraphNet(detail::NetImplBase& netImpl, InferenceEngine::CNNNetwork& net);
 
     void addOutput(const std::string& name);
 
@@ -55,6 +55,8 @@ public:
 
     void reset();
 private:
+    detail::NetImplBase& netImpl_;
+
     void release();
     int getNumComponents();
     void dfs(std::shared_ptr<ngraph::Node>& node, std::vector<std::shared_ptr<ngraph::Node>>& comp,

modules/dnn/src/precomp.hpp

@@ -61,11 +61,4 @@
 #include <opencv2/dnn.hpp>
 #include <opencv2/dnn/all_layers.hpp>
 
-
+#include "dnn_common.hpp"
-namespace cv { namespace dnn {
-CV__DNN_EXPERIMENTAL_NS_BEGIN
-#define IS_DNN_OPENCL_TARGET(id) (id == DNN_TARGET_OPENCL || id == DNN_TARGET_OPENCL_FP16)
-Mutex& getInitializationMutex();
-void initializeLayerFactory();
-CV__DNN_EXPERIMENTAL_NS_END
-}} // namespace