Merge branch 'master' into mem_leaks

CMakeLists.txt

@@ -43,6 +43,9 @@ endif()
 set(CMAKE_DISABLE_SOURCE_CHANGES ON)
 set(CMAKE_DISABLE_IN_SOURCE_BUILD ON)
 
+# Create compilation database compile_commands.json
+set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
+
 # set directory where the custom finders live
 set(CMAKE_MODULE_PATH ${CMAKE_MODULE_PATH} "${CMAKE_SOURCE_DIR}/cmake/Modules/")
 
@@ -87,6 +90,11 @@ endif()
 set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++11")
 # set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -stdlib=libc++")
 
+# Set true if CPU backend is built by default
+if (NOT DEFINED NGRAPH_CPU_ENABLE)
+    SET(NGRAPH_CPU_ENABLE TRUE)
+endif()
+
 #-----------------------------------------------------------------------------------------------
 # External projects install directory
 #-----------------------------------------------------------------------------------------------

src/ngraph/codegen/compiler.cpp

@@ -42,6 +42,7 @@
 #include <clang/Basic/TargetInfo.h>
 #include <clang/CodeGen/CodeGenAction.h>
 #include <clang/Frontend/CompilerInstance.h>
+#include <clang/Frontend/FrontendActions.h>
 #include <clang/Frontend/TextDiagnosticPrinter.h>
 #include <llvm/Support/TargetSelect.h>
 
@@ -73,6 +74,11 @@ Compiler::~Compiler()
 {
 }
 
+void Compiler::set_precompiled_header_source(const std::string& source)
+{
+    s_static_compiler.set_precompiled_header_source(source);
+}
+
 std::unique_ptr<llvm::Module> Compiler::compile(const std::string& source)
 {
     lock_guard<mutex> lock(m_mutex);
@@ -88,14 +94,10 @@ static std::string GetExecutablePath(const char* Argv0)
 }
 
 StaticCompiler::StaticCompiler()
-    : m_precompiled_headers_enabled(false)
+    : m_precompiled_header_valid(false)
     , m_debuginfo_enabled(false)
     , m_source_name("code.cpp")
 {
-#if NGCPU_PCH
-    m_precompiled_headers_enabled = true;
-#endif
-
 #if NGCPU_DEBUGINFO
     m_debuginfo_enabled = true;
 #endif
@@ -213,14 +215,6 @@ StaticCompiler::StaticCompiler()
         CGO.setDebugInfo(codegenoptions::FullDebugInfo);
     }
 
-    if (m_precompiled_headers_enabled)
-    {
-        // Preprocessor options
-        auto& PPO = m_compiler->getInvocation().getPreprocessorOpts();
-        PPO.ImplicitPCHInclude = "ngcpu.pch";
-        PPO.DisablePCHValidation = 1;
-    }
-
     // Enable various target features
     // Most of these are for Eigen
     auto& TO = m_compiler->getInvocation().getTargetOpts();
@@ -314,6 +308,18 @@ std::unique_ptr<llvm::Module>
     StaticCompiler::compile(std::unique_ptr<clang::CodeGenAction>& compiler_action,
                             const string& source)
 {
+    if (!m_precompiled_header_valid && m_precomiled_header_source.empty() == false)
+    {
+        generate_pch(m_precomiled_header_source);
+    }
+    if (m_precompiled_header_valid)
+    {
+        // Preprocessor options
+        auto& PPO = m_compiler->getInvocation().getPreprocessorOpts();
+        PPO.ImplicitPCHInclude = m_pch_path;
+        PPO.DisablePCHValidation = 0;
+    }
+
     // Map code filename to a memoryBuffer
     StringRef source_ref(source);
     unique_ptr<MemoryBuffer> buffer = MemoryBuffer::getMemBufferCopy(source_ref);
@@ -334,24 +340,24 @@ std::unique_ptr<llvm::Module>
     return rc;
 }
 
-// std::unique_ptr<llvm::Module> StaticCompiler::generate_pch(const string& source)
-// {
-//     // Map code filename to a memoryBuffer
-//     StringRef source_ref(source);
-//     unique_ptr<MemoryBuffer> buffer = MemoryBuffer::getMemBufferCopy(source_ref);
-//     m_compiler->getInvocation().getPreprocessorOpts().addRemappedFile(m_source_name, buffer.get());
+void StaticCompiler::generate_pch(const string& source)
+{
+    m_pch_path = file_util::tmp_filename();
+    m_compiler->getFrontendOpts().OutputFile = m_pch_path;
 
-//     // Create and execute action
-//     CodeGenAction* compilerAction = new GeneratePCHAction();
-//     std::unique_ptr<llvm::Module> rc;
-//     if (m_compiler->ExecuteAction(*compilerAction) == true)
-//     {
-//         rc = compilerAction->takeModule();
-//     }
+    // Map code filename to a memoryBuffer
+    StringRef source_ref(source);
+    unique_ptr<MemoryBuffer> buffer = MemoryBuffer::getMemBufferCopy(source_ref);
+    m_compiler->getInvocation().getPreprocessorOpts().addRemappedFile(m_source_name, buffer.get());
 
-//     buffer.release();
+    // Create and execute action
+    clang::GeneratePCHAction* compilerAction = new clang::GeneratePCHAction();
+    if (m_compiler->ExecuteAction(*compilerAction) == true)
+    {
+        m_precompiled_header_valid = true;
+    }
 
-//     m_compiler->getInvocation().getPreprocessorOpts().clearRemappedFiles();
+    buffer.release();
 
-//     return rc;
-// }
+    m_compiler->getInvocation().getPreprocessorOpts().clearRemappedFiles();
+}

src/ngraph/codegen/compiler.hpp

@@ -53,6 +53,7 @@ class ngraph::codegen::Compiler
 public:
     Compiler();
     ~Compiler();
+    void set_precompiled_header_source(const std::string& source);
     std::unique_ptr<llvm::Module> compile(const std::string& source);
     std::unique_ptr<clang::CodeGenAction>& get_compiler_action() { return compiler_action; }
 private:
@@ -65,20 +66,26 @@ public:
     StaticCompiler();
     ~StaticCompiler();
 
-    void set_precompiled_headers_enabled(bool state) { m_precompiled_headers_enabled = state; }
-    bool is_precompiled_headers_enabled() { return m_precompiled_headers_enabled; }
     void set_debuginfo_enabled(bool state) { m_debuginfo_enabled = state; }
     bool is_debuginfo_enabled() { return m_debuginfo_enabled; }
+    void set_precompiled_header_source(const std::string& source)
+    {
+        m_precomiled_header_source = source;
+    }
     void add_header_search_path(const std::string& path);
+
     std::unique_ptr<llvm::Module> compile(std::unique_ptr<clang::CodeGenAction>& compiler_action,
                                           const std::string& source);
+    void generate_pch(const std::string& source);
 
 private:
     std::unique_ptr<clang::CompilerInstance> m_compiler;
-    bool m_precompiled_headers_enabled;
+    bool m_precompiled_header_valid;
     bool m_debuginfo_enabled;
     std::string m_source_name;
     std::vector<std::string> m_extra_search_path_list;
+    std::string m_pch_path;
+    std::string m_precomiled_header_source;
 
     bool is_version_number(const std::string& path);
     void use_cached_files();

src/ngraph/function.cpp

@@ -31,6 +31,7 @@ Function::Function(const std::shared_ptr<Node>& result,
     , m_name(name)
     , m_result_type(result_type)
     , m_ordered_ops_valid(false)
+    , m_temporary_pool_size(0)
     , m_instance_id(m_next_instance_id.fetch_add(1))
 {
     m_result->set_is_output();
@@ -97,6 +98,16 @@ void Function::set_name(const string& name)
     }
 }
 
+size_t Function::get_temporary_pool_size()
+{
+    return m_temporary_pool_size;
+}
+
+void Function::set_temporary_pool_size(size_t size)
+{
+    m_temporary_pool_size = size;
+}
+
 std::ostream& ngraph::operator<<(std::ostream& out, const Function& f)
 {
     out << "Function(" << f.get_name() << ")";

src/ngraph/function.hpp

@@ -56,6 +56,9 @@ namespace ngraph
         void clear_ordered_ops_valid() { m_ordered_ops_valid = false; }
         friend std::ostream& operator<<(std::ostream&, const Function&);
         size_t get_instance_id() { return m_instance_id; }
+        size_t get_temporary_pool_size();
+        void set_temporary_pool_size(size_t);
+
     protected:
         std::shared_ptr<Node> m_result;
         std::vector<std::shared_ptr<ngraph::op::Parameter>> m_parameters;
@@ -64,6 +67,7 @@ namespace ngraph
         bool m_ordered_ops_valid;
         std::list<std::shared_ptr<Node>> m_ordered_ops;
         std::list<std::shared_ptr<Node>> m_ops;
+        size_t m_temporary_pool_size;
 
     private:
         Function(const Function&) = delete;

src/ngraph/pass/manager_state.cpp

@@ -27,13 +27,3 @@ const vector<shared_ptr<Function>>& ngraph::pass::ManagerState::get_functions()
 {
     return m_function_list;
 }
-
-size_t ngraph::pass::ManagerState::get_temporary_pool_size()
-{
-    return m_temporary_pool_size;
-}
-
-void ngraph::pass::ManagerState::set_temporary_pool_size(size_t size)
-{
-    m_temporary_pool_size = size;
-}

src/ngraph/pass/manager_state.hpp

@@ -39,10 +39,6 @@ public:
         m_function_list.insert(m_function_list.begin(), collection.begin(), collection.end());
     }
 
-    size_t get_temporary_pool_size();
-    void set_temporary_pool_size(size_t);
-
 private:
-    size_t m_temporary_pool_size = 0;
     std::vector<std::shared_ptr<Function>> m_function_list;
 };

src/ngraph/pass/memory_layout.cpp

@@ -31,10 +31,10 @@ pass::MemoryLayout::MemoryLayout(size_t alignment)
 {
 }
 
-bool pass::MemoryLayout::run_on_call_graph(std::list<std::shared_ptr<Node>>& node_list)
+bool pass::MemoryLayout::run_on_function(std::shared_ptr<ngraph::Function> function)
 {
     MemoryManager mm(m_alignment);
-    for (shared_ptr<Node> node : node_list)
+    for (shared_ptr<Node> node : function->get_ordered_ops())
     {
         for (Tensor* tensor : node->liveness_new_list)
         {
@@ -46,7 +46,7 @@ bool pass::MemoryLayout::run_on_call_graph(std::list<std::shared_ptr<Node>>& nod
             mm.free(tensor->get_pool_offset());
         }
     }
-    get_state().set_temporary_pool_size(mm.max_allocated());
+    function->set_temporary_pool_size(mm.max_allocated());
 
     return false;
 }

src/ngraph/pass/memory_layout.hpp

@@ -30,11 +30,11 @@ namespace ngraph
     }
 }
 
-class ngraph::pass::MemoryLayout : public CallGraphPass
+class ngraph::pass::MemoryLayout : public FunctionPass
 {
 public:
     MemoryLayout(size_t alignment = 1);
-    virtual bool run_on_call_graph(std::list<std::shared_ptr<Node>>&) override;
+    bool run_on_function(std::shared_ptr<ngraph::Function>) override;
 
 private:
     size_t m_alignment;

src/ngraph/runtime/cpu/call_frame.cpp

@@ -47,7 +47,7 @@ void CallFrame::tensor_call(
     }
 
     // Invoke compiled computation
-    m_compiled_function(inputs, outputs);
+    m_compiled_function(inputs.data(), outputs.data());
 }
 
 void CallFrame::operator()(const std::vector<std::shared_ptr<ngraph::runtime::Value>>& arguments,

src/ngraph/runtime/cpu/call_frame.hpp

@@ -33,8 +33,7 @@ namespace ngraph
             class CallFrame;
             class ExternalFunction;
 
-            using EntryPoint_t = void(const std::vector<void*>& inputs,
-                                      const std::vector<void*>& outputs);
+            using EntryPoint_t = void(void** inputs, void** outputs);
 
             using EntryPoint = std::function<EntryPoint_t>;
 

src/ngraph/runtime/cpu/emitter.cpp

@@ -56,14 +56,12 @@ static std::string eigen_matrix_format(const ngraph::Shape& shape, const ngraph:
 }
 
 void Emitter::EmitNop(const ngraph::Node* n,
-                      ExternalFunction* ef,
                       const std::vector<TensorViewInfo>& inputs,
                       const std::vector<TensorViewInfo>& outputs)
 {
 }
 
 void Emitter::EmitAdd(const ngraph::Node* n,
-                      ExternalFunction* ef,
                       const std::vector<TensorViewInfo>& inputs,
                       const std::vector<TensorViewInfo>& outputs)
 {
@@ -78,7 +76,6 @@ void Emitter::EmitAdd(const ngraph::Node* n,
 }
 
 void Emitter::EmitDot(const ngraph::Node* n,
-                      ExternalFunction* ef,
                       const std::vector<TensorViewInfo>& inputs,
                       const std::vector<TensorViewInfo>& outputs)
 {
@@ -172,7 +169,6 @@ void Emitter::EmitDot(const ngraph::Node* n,
 }
 
 void Emitter::EmitMultiply(const ngraph::Node* n,
-                           ExternalFunction* ef,
                            const std::vector<TensorViewInfo>& inputs,
                            const std::vector<TensorViewInfo>& outputs)
 {
@@ -191,7 +187,6 @@ void Emitter::EmitMultiply(const ngraph::Node* n,
 }
 
 void Emitter::EmitGetTupleElement(const ngraph::Node* n,
-                                  ExternalFunction* ef,
                                   const std::vector<TensorViewInfo>& inputs,
                                   const std::vector<TensorViewInfo>& outputs)
 {
@@ -213,7 +208,6 @@ void Emitter::EmitGetTupleElement(const ngraph::Node* n,
 }
 
 void Emitter::EmitTuple(const ngraph::Node* n,
-                        ExternalFunction* ef,
                         const std::vector<TensorViewInfo>& inputs,
                         const std::vector<TensorViewInfo>& outputs)
 {
@@ -239,7 +233,6 @@ void Emitter::EmitTuple(const ngraph::Node* n,
 }
 
 void Emitter::EmitAbs(const ngraph::Node* n,
-                      ExternalFunction* ef,
                       const std::vector<TensorViewInfo>& inputs,
                       const std::vector<TensorViewInfo>& outputs)
 {
@@ -252,7 +245,6 @@ void Emitter::EmitAbs(const ngraph::Node* n,
 }
 
 void Emitter::EmitConcat(const ngraph::Node* n,
-                         ExternalFunction* ef,
                          const std::vector<TensorViewInfo>& inputs,
                          const std::vector<TensorViewInfo>& outputs)
 {
@@ -306,7 +298,6 @@ void Emitter::EmitConcat(const ngraph::Node* n,
 }
 
 void Emitter::EmitDivide(const ngraph::Node* n,
-                         ExternalFunction* ef,
                          const std::vector<TensorViewInfo>& inputs,
                          const std::vector<TensorViewInfo>& outputs)
 {
@@ -320,7 +311,6 @@ void Emitter::EmitDivide(const ngraph::Node* n,
 }
 
 void Emitter::EmitEqual(const ngraph::Node* n,
-                        ExternalFunction* ef,
                         const std::vector<TensorViewInfo>& inputs,
                         const std::vector<TensorViewInfo>& outputs)
 {
@@ -334,7 +324,6 @@ void Emitter::EmitEqual(const ngraph::Node* n,
 }
 
 void Emitter::EmitGreater(const ngraph::Node* n,
-                          ExternalFunction* ef,
                           const std::vector<TensorViewInfo>& inputs,
                           const std::vector<TensorViewInfo>& outputs)
 {
@@ -348,7 +337,6 @@ void Emitter::EmitGreater(const ngraph::Node* n,
 }
 
 void Emitter::EmitGreaterEq(const ngraph::Node* n,
-                            ExternalFunction* ef,
                             const std::vector<TensorViewInfo>& inputs,
                             const std::vector<TensorViewInfo>& outputs)
 {
@@ -362,7 +350,6 @@ void Emitter::EmitGreaterEq(const ngraph::Node* n,
 }
 
 void Emitter::EmitLess(const ngraph::Node* n,
-                       ExternalFunction* ef,
                        const std::vector<TensorViewInfo>& inputs,
                        const std::vector<TensorViewInfo>& outputs)
 {
@@ -376,7 +363,6 @@ void Emitter::EmitLess(const ngraph::Node* n,
 }
 
 void Emitter::EmitLessEq(const ngraph::Node* n,
-                         ExternalFunction* ef,
                          const std::vector<TensorViewInfo>& inputs,
                          const std::vector<TensorViewInfo>& outputs)
 {
@@ -390,7 +376,6 @@ void Emitter::EmitLessEq(const ngraph::Node* n,
 }
 
 void Emitter::EmitLog(const ngraph::Node* n,
-                      ExternalFunction* ef,
                       const std::vector<TensorViewInfo>& inputs,
                       const std::vector<TensorViewInfo>& outputs)
 {
@@ -403,7 +388,6 @@ void Emitter::EmitLog(const ngraph::Node* n,
 }
 
 void Emitter::EmitMaximum(const ngraph::Node* n,
-                          ExternalFunction* ef,
                           const std::vector<TensorViewInfo>& inputs,
                           const std::vector<TensorViewInfo>& outputs)
 {
@@ -417,7 +401,6 @@ void Emitter::EmitMaximum(const ngraph::Node* n,
 }
 
 void Emitter::EmitMinimum(const ngraph::Node* n,
-                          ExternalFunction* ef,
                           const std::vector<TensorViewInfo>& inputs,
                           const std::vector<TensorViewInfo>& outputs)
 {
@@ -431,7 +414,6 @@ void Emitter::EmitMinimum(const ngraph::Node* n,
 }
 
 void Emitter::EmitNegative(const ngraph::Node* n,
-                           ExternalFunction* ef,
                            const std::vector<TensorViewInfo>& inputs,
                            const std::vector<TensorViewInfo>& outputs)
 {
@@ -444,7 +426,6 @@ void Emitter::EmitNegative(const ngraph::Node* n,
 }
 
 void Emitter::EmitNotEqual(const ngraph::Node* n,
-                           ExternalFunction* ef,
                            const std::vector<TensorViewInfo>& inputs,
                            const std::vector<TensorViewInfo>& outputs)
 {
@@ -458,7 +439,6 @@ void Emitter::EmitNotEqual(const ngraph::Node* n,
 }
 
 void Emitter::EmitSelect(const ngraph::Node* n,
-                         ExternalFunction* ef,
                          const std::vector<TensorViewInfo>& inputs,
                          const std::vector<TensorViewInfo>& outputs)
 {
@@ -473,7 +453,6 @@ void Emitter::EmitSelect(const ngraph::Node* n,
 }
 
 void Emitter::EmitSubtract(const ngraph::Node* n,
-                           ExternalFunction* ef,
                            const std::vector<TensorViewInfo>& inputs,
                            const std::vector<TensorViewInfo>& outputs)
 {
@@ -487,7 +466,6 @@ void Emitter::EmitSubtract(const ngraph::Node* n,
 }
 
 void Emitter::EmitParameterizedConstantBool(const ngraph::Node* n,
-                                            ExternalFunction* ef,
                                             const std::vector<TensorViewInfo>& inputs,
                                             const std::vector<TensorViewInfo>& outputs)
 {
@@ -501,14 +479,14 @@ void Emitter::EmitParameterizedConstantBool(const ngraph::Node* n,
         // Special case where constant is stored directly in the output
         for (size_t i = 0; i < value.size(); i++)
         {
-            TU << outputs[0].get_tensor().get_name() << "[" << i << "] = static_cast<bool>("
+            TU << outputs[0].get_tensor().get_name() << "[" << i << "] = static_cast<char>("
                << (value[i] ? "true" : "false") << ");\n";
         }
     }
     else
     {
         TU << "// this should be const but eigen hates const :(\n";
-        TU << "bool " << outputs[0].get_tensor().get_name() << "[] = {\n";
+        TU << "char " << outputs[0].get_tensor().get_name() << "[] = {\n";
         for (size_t i = 0; i < value.size(); i++)
         {
             if (i != 0)
@@ -546,7 +524,6 @@ static string format_float_as_string(float value)
 }
 
 void Emitter::EmitParameterizedConstantFloat32(const ngraph::Node* n,
-                                               ExternalFunction* ef,
                                                const std::vector<TensorViewInfo>& inputs,
                                                const std::vector<TensorViewInfo>& outputs)
 {
@@ -583,7 +560,6 @@ void Emitter::EmitParameterizedConstantFloat32(const ngraph::Node* n,
 }
 
 void Emitter::EmitParameterizedConstantInt8(const ngraph::Node* n,
-                                            ExternalFunction* ef,
                                             const std::vector<TensorViewInfo>& inputs,
                                             const std::vector<TensorViewInfo>& outputs)
 {
@@ -620,7 +596,6 @@ void Emitter::EmitParameterizedConstantInt8(const ngraph::Node* n,
 }
 
 void Emitter::EmitParameterizedConstantInt32(const ngraph::Node* n,
-                                             ExternalFunction* ef,
                                              const std::vector<TensorViewInfo>& inputs,
                                              const std::vector<TensorViewInfo>& outputs)
 {
@@ -657,7 +632,6 @@ void Emitter::EmitParameterizedConstantInt32(const ngraph::Node* n,
 }
 
 void Emitter::EmitParameterizedConstantInt64(const ngraph::Node* n,
-                                             ExternalFunction* ef,
                                              const std::vector<TensorViewInfo>& inputs,
                                              const std::vector<TensorViewInfo>& outputs)
 {
@@ -694,7 +668,6 @@ void Emitter::EmitParameterizedConstantInt64(const ngraph::Node* n,
 }
 
 void Emitter::EmitParameterizedConstantUInt8(const ngraph::Node* n,
-                                             ExternalFunction* ef,
                                              const std::vector<TensorViewInfo>& inputs,
                                              const std::vector<TensorViewInfo>& outputs)
 {
@@ -731,7 +704,6 @@ void Emitter::EmitParameterizedConstantUInt8(const ngraph::Node* n,
 }
 
 void Emitter::EmitParameterizedConstantUInt32(const ngraph::Node* n,
-                                              ExternalFunction* ef,
                                               const std::vector<TensorViewInfo>& inputs,
                                               const std::vector<TensorViewInfo>& outputs)
 {
@@ -768,7 +740,6 @@ void Emitter::EmitParameterizedConstantUInt32(const ngraph::Node* n,
 }
 
 void Emitter::EmitParameterizedConstantUInt64(const ngraph::Node* n,
-                                              ExternalFunction* ef,
                                               const std::vector<TensorViewInfo>& inputs,
                                               const std::vector<TensorViewInfo>& outputs)
 {
@@ -805,7 +776,6 @@ void Emitter::EmitParameterizedConstantUInt64(const ngraph::Node* n,
 }
 
 void Emitter::EmitBroadcast(const ngraph::Node* n,
-                            ExternalFunction* ef,
                             const std::vector<TensorViewInfo>& inputs,
                             const std::vector<TensorViewInfo>& outputs)
 {
@@ -880,7 +850,6 @@ void Emitter::EmitBroadcast(const ngraph::Node* n,
 }
 
 void Emitter::EmitConvert(const ngraph::Node* n,
-                          ExternalFunction* ef,
                           const std::vector<TensorViewInfo>& inputs,
                           const std::vector<TensorViewInfo>& outputs)
 {
@@ -904,7 +873,6 @@ void Emitter::EmitConvert(const ngraph::Node* n,
 }
 
 void Emitter::EmitConstant(const ngraph::Node* n,
-                           ExternalFunction* ef,
                            const std::vector<TensorViewInfo>& inputs,
                            const std::vector<TensorViewInfo>& outputs)
 {
@@ -926,7 +894,6 @@ void Emitter::EmitConstant(const ngraph::Node* n,
 }
 
 void Emitter::EmitReshape(const ngraph::Node* n,
-                          ExternalFunction* ef,
                           const std::vector<TensorViewInfo>& inputs,
                           const std::vector<TensorViewInfo>& outputs)
 {
@@ -1009,7 +976,6 @@ void Emitter::EmitReshape(const ngraph::Node* n,
 }
 
 void Emitter::EmitFunctionCall(const ngraph::Node* n,
-                               ExternalFunction* ef,
                                const std::vector<TensorViewInfo>& inputs,
                                const std::vector<TensorViewInfo>& outputs)
 {
@@ -1030,7 +996,6 @@ void Emitter::EmitFunctionCall(const ngraph::Node* n,
 // to what's seen there (for now atleast)
 
 void Emitter::EmitReduce(const ngraph::Node* n,
-                         ExternalFunction* ef,
                          const std::vector<TensorViewInfo>& inputs,
                          const std::vector<TensorViewInfo>& outputs)
 {
@@ -1118,8 +1083,8 @@ void Emitter::EmitReduce(const ngraph::Node* n,
             TU.indent++;
             TU << "\n";
             TU << type << " result;\n";
-            TU << "std::vector<void*> inputs = {&x, &y};\n";
-            TU << "std::vector<void*> outputs = {&result};\n";
+            TU << "void* inputs[] = {&x, &y};\n";
+            TU << "void* outputs[] = {&result};\n";
             TU << reduction_function->get_name() << "(inputs, outputs);\n";
             TU << "return result;\n";
             TU.indent--;
@@ -1154,8 +1119,8 @@ void Emitter::EmitReduce(const ngraph::Node* n,
             TU.indent++;
             TU << "\n";
             TU << type << " result;\n";
-            TU << "std::vector<void*> inputs = {&x, &y};\n";
-            TU << "std::vector<void*> outputs = {&result};\n";
+            TU << "void* inputs[] = {&x, &y};\n";
+            TU << "void* outputs[] = {&result};\n";
             TU << reduction_function->get_name() << "(inputs, outputs);\n";
             TU << "return result;\n";
             TU.indent--;
@@ -1186,8 +1151,8 @@ void Emitter::EmitReduce(const ngraph::Node* n,
             TU.indent++;
             TU << "\n";
             TU << type << " result;\n";
-            TU << "std::vector<void*> inputs = {&x, &y};\n";
-            TU << "std::vector<void*> outputs = {&result};\n";
+            TU << "void* inputs[] = {&x, &y};\n";
+            TU << "void* outputs[] = {&result};\n";
             TU << reduction_function->get_name() << "(inputs, outputs);\n";
             TU << "return result;\n";
             TU.indent--;
@@ -1205,7 +1170,6 @@ void Emitter::EmitReduce(const ngraph::Node* n,
 }
 
 void Emitter::EmitSign(const ngraph::Node* n,
-                       ExternalFunction* ef,
                        const std::vector<TensorViewInfo>& inputs,
                        const std::vector<TensorViewInfo>& outputs)
 {
@@ -1218,7 +1182,6 @@ void Emitter::EmitSign(const ngraph::Node* n,
 }
 
 void Emitter::EmitSlice(const ngraph::Node* n,
-                        ExternalFunction* ef,
                         const std::vector<TensorViewInfo>& inputs,
                         const std::vector<TensorViewInfo>& outputs)
 {
@@ -1288,7 +1251,6 @@ void Emitter::EmitSlice(const ngraph::Node* n,
 }
 
 void Emitter::EmitSum(const ngraph::Node* n,
-                      ExternalFunction* ef,
                       const std::vector<TensorViewInfo>& inputs,
                       const std::vector<TensorViewInfo>& outputs)
 {
@@ -1359,7 +1321,6 @@ void Emitter::EmitSum(const ngraph::Node* n,
 }
 
 void Emitter::EmitExp(const ngraph::Node* n,
-                      ExternalFunction* ef,
                       const std::vector<TensorViewInfo>& inputs,
                       const std::vector<TensorViewInfo>& outputs)
 {
@@ -1372,7 +1333,6 @@ void Emitter::EmitExp(const ngraph::Node* n,
 }
 
 void Emitter::EmitSin(const ngraph::Node* n,
-                      ExternalFunction* ef,
                       const std::vector<TensorViewInfo>& inputs,
                       const std::vector<TensorViewInfo>& outputs)
 {
@@ -1385,7 +1345,6 @@ void Emitter::EmitSin(const ngraph::Node* n,
 }
 
 void Emitter::EmitSinh(const ngraph::Node* n,
-                       ExternalFunction* ef,
                        const std::vector<TensorViewInfo>& inputs,
                        const std::vector<TensorViewInfo>& outputs)
 {
@@ -1398,7 +1357,6 @@ void Emitter::EmitSinh(const ngraph::Node* n,
 }
 
 void Emitter::EmitCos(const ngraph::Node* n,
-                      ExternalFunction* ef,
                       const std::vector<TensorViewInfo>& inputs,
                       const std::vector<TensorViewInfo>& outputs)
 {
@@ -1411,7 +1369,6 @@ void Emitter::EmitCos(const ngraph::Node* n,
 }
 
 void Emitter::EmitCosh(const ngraph::Node* n,
-                       ExternalFunction* ef,
                        const std::vector<TensorViewInfo>& inputs,
                        const std::vector<TensorViewInfo>& outputs)
 {
@@ -1424,7 +1381,6 @@ void Emitter::EmitCosh(const ngraph::Node* n,
 }
 
 void Emitter::EmitTan(const ngraph::Node* n,
-                      ExternalFunction* ef,
                       const std::vector<TensorViewInfo>& inputs,
                       const std::vector<TensorViewInfo>& outputs)
 {
@@ -1437,7 +1393,6 @@ void Emitter::EmitTan(const ngraph::Node* n,
 }
 
 void Emitter::EmitTanh(const ngraph::Node* n,
-                       ExternalFunction* ef,
                        const std::vector<TensorViewInfo>& inputs,
                        const std::vector<TensorViewInfo>& outputs)
 {
@@ -1457,7 +1412,6 @@ void Emitter::EmitTanh(const ngraph::Node* n,
 }
 
 void Emitter::EmitAsin(const ngraph::Node* n,
-                       ExternalFunction* ef,
                        const std::vector<TensorViewInfo>& inputs,
                        const std::vector<TensorViewInfo>& outputs)
 {
@@ -1470,7 +1424,6 @@ void Emitter::EmitAsin(const ngraph::Node* n,
 }
 
 void Emitter::EmitAcos(const ngraph::Node* n,
-                       ExternalFunction* ef,
                        const std::vector<TensorViewInfo>& inputs,
                        const std::vector<TensorViewInfo>& outputs)
 {
@@ -1483,7 +1436,6 @@ void Emitter::EmitAcos(const ngraph::Node* n,
 }
 
 void Emitter::EmitAtan(const ngraph::Node* n,
-                       ExternalFunction* ef,
                        const std::vector<TensorViewInfo>& inputs,
                        const std::vector<TensorViewInfo>& outputs)
 {
@@ -1516,13 +1468,13 @@ void Emitter::generate_call(const std::vector<TensorViewInfo>& inputs,
         output_names.push_back(output.get_tensor().get_name());
     }
 
-    TU << "std::vector<void*> inputs =\n{";
+    TU << "void* inputs[] =\n{";
     TU.indent++;
     TU << "\n" << join(input_names, ",\n");
     TU.indent--;
     TU << "\n};\n";
 
-    TU << "std::vector<void*> outputs =\n{";
+    TU << "void* outputs[] =\n{";
     TU.indent++;
     TU << "\n" << join(output_names, ",\n");
     TU.indent--;

src/ngraph/runtime/cpu/emitter.hpp

@@ -24,7 +24,6 @@
 
 #define EMITTER_DECL(E)                                                                            \
     E(const ngraph::Node* n,                                                                       \
-      ExternalFunction* ef,                                                                        \
       const std::vector<TensorViewInfo>& inputs,                                                   \
       const std::vector<TensorViewInfo>& outputs)
 

src/ngraph/runtime/cpu/external_function.cpp

@@ -183,15 +183,9 @@ void ExternalFunction::compile()
     Emitter emitter;
     codegen::CodeWriter& TU = emitter.get_code_writer();
 
-    // The "dso_handle" symbol below is required by __cxa_atexit()
-    // which is enabled because the JIT uses it as the default mechanism
-    // to register cleanup handlers. We use it, and not atexit(), because
-    // atexit() happens too late, when the JIT is no longer alive
-
     TU +=
         R"(// Generated by the NGraph CPU backend
 #include <cmath>
-#include <vector>
 
 #include <Eigen/Dense>
 
@@ -201,24 +195,27 @@ void ExternalFunction::compile()
 
 using namespace ngraph::runtime::cpu::eigen;
 
-void *__dso_handle = 0;
-
 )";
+    string pch_header_source = TU.get_code();
+
+    // The "dso_handle" symbol is required by __cxa_atexit()
+    // which is enabled because the JIT uses it as the default mechanism
+    // to register cleanup handlers. We use it, and not atexit(), because
+    // atexit() happens too late, when the JIT is no longer alive
+
+    TU << "void *__dso_handle = 0;\n\n";
 
     TU << "// Declare all functions\n";
     for (shared_ptr<Function> f : pass_manager.get_state().get_functions())
     {
-        TU << "extern \"C\" void " << f->get_name() << "(\n";
-        TU << "    const std::vector<void*>& inputs,\n";
-        TU << "    const std::vector<void*>& outputs);\n";
+        TU << "extern \"C\" void " << f->get_name() << "(void** inputs, void** outputs);\n";
     }
     TU << "\n";
 
     for (shared_ptr<Function> current_function : pass_manager.get_state().get_functions())
     {
-        TU << "extern \"C\" void " << current_function->get_name() << "(\n";
-        TU << "    const std::vector<void*>& inputs,\n";
-        TU << "    const std::vector<void*>& outputs)\n";
+        TU << "extern \"C\" void " << current_function->get_name();
+        TU << "(void** inputs, void** outputs)\n";
         TU << "{\n";
         TU.indent++;
 
@@ -233,7 +230,7 @@ void *__dso_handle = 0;
         }
         if (temporaries_used)
         {
-            size_t temp_pool_size = pass_manager.get_state().get_temporary_pool_size();
+            size_t temp_pool_size = current_function->get_temporary_pool_size();
             TU << "// Allocate the memory pool\n";
             TU << "ngraph::runtime::AlignedBuffer memory_handler(" << temp_pool_size << ", "
                << ngraph::runtime::cpu::alignment << ");\n";
@@ -303,7 +300,7 @@ void *__dso_handle = 0;
                 auto tv = output.get_tensor_view();
                 out.push_back({0, tv});
             }
-            handler->second(&emitter, node.get(), this, in, out);
+            handler->second(&emitter, node.get(), in, out);
         }
 
         TU.indent--;
@@ -325,7 +322,10 @@ void *__dso_handle = 0;
     compiler.reset(new codegen::Compiler());
     execution_engine.reset(new codegen::ExecutionEngine());
 
+    compiler->set_precompiled_header_source(pch_header_source);
+
     auto llvm_module = compiler->compile(code);
+
     if (llvm_module == nullptr)
     {
         throw runtime_error("function failed to compile");

src/ngraph/runtime/cpu/external_function.hpp

@@ -39,7 +39,6 @@ namespace ngraph
 
             using OpFunction = std::function<void(Emitter*,
                                                   const ngraph::Node*,
-                                                  ExternalFunction*,
                                                   const std::vector<TensorViewInfo>& inputs,
                                                   const std::vector<TensorViewInfo>& outputs)>;
 

test/CMakeLists.txt

@@ -57,7 +57,7 @@ if(MKLDNN_INCLUDE_DIR)
     set(SRC ${SRC} mkldnn.cpp)
 endif()
 
-if(LLVM_INCLUDE_DIR)
+if(NGRAPH_CPU_ENABLE AND LLVM_INCLUDE_DIR)
     include_directories(SYSTEM ${LLVM_INCLUDE_DIR})
     link_directories(${LLVM_LIB_DIR})
     set(SRC ${SRC} codegen.cpp)

test/backend_test.in.cpp

@@ -2708,3 +2708,30 @@ TEST(${BACKEND_NAME}, sign)
     (*cf)({a}, {result});
     ASSERT_EQ((vector<float>{1, -1, 0, -1, 1, 0}), result->get_vector<float>());
 }
+
+TEST(${BACKEND_NAME}, constant_equality_bool)
+{
+    auto shape = Shape{4};
+    // auto A = make_shared<op::Parameter>(element::Bool::element_type(), shape);
+    // auto B = make_shared<op::Parameter>(element::Bool::element_type(), shape);
+    // auto result_type = make_shared<TensorViewType>(element::Bool::element_type(), shape);
+    // auto f = make_shared<Function>(make_shared<op::Equal>(A, B), result_type, op::Parameters{A, B});
+
+    auto a = runtime::make_tensor<element::Bool>(shape, {true, false, true, false});
+    auto A = make_shared<op::ParameterizedConstant<element::Bool>>(shape, a);
+    auto b = runtime::make_tensor<element::Bool>(shape, {true, true, true, true});
+    auto B = make_shared<op::ParameterizedConstant<element::Bool>>(shape, b);
+    auto rt = make_shared<TensorViewType>(element::Bool::element_type(), shape);
+    auto f = make_shared<Function>(make_shared<op::Equal>(A, B), rt, op::Parameters{});
+
+    auto manager = runtime::Manager::get("${BACKEND_NAME}");
+    auto external = manager->compile(f);
+    auto backend = manager->allocate_backend();
+    auto cf = backend->make_call_frame(external);
+
+    // Create some tensors for input/output
+    auto result = backend->make_primary_tensor_view(element::Bool::element_type(), shape);
+
+    (*cf)({}, {result});
+    ASSERT_EQ((vector<char>{true, false, true, false}), result->get_vector<char>());
+}

test/pass_memory_layout.cpp

@@ -215,7 +215,7 @@ TEST(memory_layout, basic)
     auto graph = make_test_graph();
     pass_manager.run_passes(graph);
     auto sorted = graph->get_ordered_ops();
-    size_t temporary_pool_size = pass_manager.get_state().get_temporary_pool_size();
+    size_t temporary_pool_size = graph->get_temporary_pool_size();
     EXPECT_EQ(12, temporary_pool_size);
 }
 
@@ -235,6 +235,6 @@ TEST(memory_layout, constant)
 
     pass_manager.run_passes(f);
     auto sorted = f->get_ordered_ops();
-    size_t temporary_pool_size = pass_manager.get_state().get_temporary_pool_size();
+    size_t temporary_pool_size = f->get_temporary_pool_size();
     EXPECT_EQ(0, temporary_pool_size);
 }