Pass the logger to the JIT compiler.

To avoid effects of concurrent method entrypoints update,
just pass the logger to the JIT compiler, which will invoke
it directly with the pointer to the newly allocated code.

Test: test.py --trace
Change-Id: I5fbcd7cbc948b7d46c98c1545d6e530fb1190602

1 files changed, 2 insertions, 4 deletions

diff --git a/compiler/jit/jit_compiler.cc b/compiler/jit/jit_compiler.cc
index 28a3f1edae..5fdf9ff07c 100644
--- a/compiler/jit/jit_compiler.cc
+++ b/compiler/jit/jit_compiler.cc
@@ -184,10 +184,8 @@ bool JitCompiler::CompileMethod(Thread* self, ArtMethod* method, bool osr) {
   {
     TimingLogger::ScopedTiming t2("Compiling", &logger);
     JitCodeCache* const code_cache = runtime->GetJit()->GetCodeCache();
-    success = compiler_driver_->GetCompiler()->JitCompile(self, code_cache, method, osr);
-    if (success && (jit_logger_ != nullptr)) {
-      jit_logger_->WriteLog(code_cache, method, osr);
-    }
+    success = compiler_driver_->GetCompiler()->JitCompile(
+        self, code_cache, method, osr, jit_logger_.get());
   }
 
   // Trim maps to reduce memory usage.