IVGCVSW-2724 Fix bug in DeserializeParser

* Fixed error in which DeserializeParser::LoadGraphFromFile returns 
a pointer to a local variable in its scope

Change-Id: Ic928b8509c0ae76570f0527b17e050b46327fe0c
Signed-off-by: Nattapat Chaimanowong <nattapat.chaimanowong@arm.com>

2 files changed, 11 insertions, 8 deletions

diff --git a/src/armnnDeserializeParser/DeserializeParser.cpp b/src/armnnDeserializeParser/DeserializeParser.cpp
index 123fc9366c..6a6a0fafe2 100644
--- a/src/armnnDeserializeParser/DeserializeParser.cpp
+++ b/src/armnnDeserializeParser/DeserializeParser.cpp
@@ -72,7 +72,7 @@ void CheckLayers(const DeserializeParser::GraphPtr& graph,
             boost::str(
                 boost::format("%1% was called with invalid (null) graph. "
                               "Possible reason is that the graph is not yet loaded and Unpack(ed). "
-                              "layers:%2% at %4%") %
+                              "layers:%2% at %3%") %
                 location.m_Function %
                 layersIndex %
                 location.FileLine()));
@@ -82,7 +82,7 @@ void CheckLayers(const DeserializeParser::GraphPtr& graph,
         throw ParseException(
             boost::str(
                 boost::format("%1% was called with an invalid layers index. "
-                              "layers:%2% at %4%") %
+                              "layers:%2% at %3%") %
                 location.m_Function %
                 layersIndex %
                 location.FileLine()));
@@ -322,7 +322,7 @@ void IDeserializeParser::Destroy(IDeserializeParser* parser)
 INetworkPtr DeserializeParser::CreateNetworkFromBinaryFile(const char* graphFile)
 {
     ResetParser();
-    m_Graph = LoadGraphFromFile(graphFile);
+    m_Graph = LoadGraphFromFile(graphFile, m_FileContent);
     return CreateNetworkFromGraph();
 }
 
@@ -333,7 +333,7 @@ INetworkPtr DeserializeParser::CreateNetworkFromBinary(const std::vector<uint8_t
      return CreateNetworkFromGraph();
 }
 
-DeserializeParser::GraphPtr DeserializeParser::LoadGraphFromFile(const char* fileName)
+DeserializeParser::GraphPtr DeserializeParser::LoadGraphFromFile(const char* fileName, std::string& fileContent)
 {
     if (fileName == nullptr)
     {
@@ -350,7 +350,8 @@ DeserializeParser::GraphPtr DeserializeParser::LoadGraphFromFile(const char* fil
                                                CHECK_LOCATION().AsString()));
     }
     std::ifstream file(fileName, std::ios::binary);
-    std::string fileContent((std::istreambuf_iterator<char>(file)), std::istreambuf_iterator<char>());
+    fileContent = std::string((std::istreambuf_iterator<char>(file)), std::istreambuf_iterator<char>());
+
     return LoadGraphFromBinary(reinterpret_cast<const uint8_t*>(fileContent.c_str()), fileContent.size());
 }
 
@@ -606,5 +607,3 @@ void DeserializeParser::ParseMultiplication(unsigned int layerIndex)
 }
 
 }
-
-
diff --git a/src/armnnDeserializeParser/DeserializeParser.hpp b/src/armnnDeserializeParser/DeserializeParser.hpp
index 9edd959220..ce343dc528 100644
--- a/src/armnnDeserializeParser/DeserializeParser.hpp
+++ b/src/armnnDeserializeParser/DeserializeParser.hpp
@@ -42,7 +42,7 @@ public:
 
 public:
     // testable helpers
-    static GraphPtr LoadGraphFromFile(const char* fileName);
+    static GraphPtr LoadGraphFromFile(const char* fileName, std::string& fileContent);
     static GraphPtr LoadGraphFromBinary(const uint8_t* binaryContent, size_t len);
     static TensorRawPtrVector GetInputs(const GraphPtr& graph, unsigned int layerIndex);
     static TensorRawPtrVector GetOutputs(const GraphPtr& graph, unsigned int layerIndex);
@@ -82,6 +82,10 @@ private:
     GraphPtr                              m_Graph;
     std::vector<LayerParsingFunction>     m_ParserFunctions;
 
+    /// This holds the data of the file that was read in from CreateNetworkFromBinaryFile
+    /// Needed for m_Graph to point to
+    std::string                           m_FileContent;
+
     /// A mapping of an output slot to each of the input slots it should be connected to
     /// The outputSlot is from the layer that creates this tensor as one of its outputs
     /// The inputSlots are from the layers that use this tensor as one of their inputs