[jit] pe engine with mkldnn (#45728)

* using mkldnn

* using with mkldnn macro

* fix use mkldnn

paddle/fluid/framework/details/build_strategy.cc

@@ -170,8 +170,12 @@ class ParallelExecutorPassBuilder : public ir::PassBuilder {
 
   void AppendOpFusePasses() {
     // 1. infernce pass if enabled.
-    AppendPassWithCheck(strategy_.inference_ && strategy_.del_dropout_,
+    AppendPassWithCheck(
+        strategy_.enable_inference_pass_ && strategy_.delete_dropout_,
         "delete_dropout_op_x_pass");
+    AppendPassWithCheck(
+        strategy_.enable_inference_pass_ && strategy_.use_mkldnn_,
+        "mkldnn_placement_pass");
 
     // 2. trainning pass
     AppendPassWithCheck(strategy_.fuse_relu_depthwise_conv_,

paddle/fluid/framework/details/build_strategy.h

@@ -148,8 +148,13 @@ struct BuildStrategy {
   bool allow_cuda_graph_capture_{false};
 
   // Inference pass
-  bool inference_{false};  // switch for infernce pass
-  bool del_dropout_{false};
+  bool enable_inference_pass_{false};  // switch for infernce pass
+  bool delete_dropout_{true};          // delte dropout op
+#ifdef PADDLE_WITH_MKLDNN
+  bool use_mkldnn_{true};  // use mkdnn to do inference
+#else
+  bool use_mkldnn_{false};  // use mkdnn to do inference
+#endif
 
   // FIXME(zcd): is_distribution_ is a temporary field, because in pserver mode,
   // num_trainers is 1, so the current fields of build_strategy doesn't tell if

paddle/fluid/jit/engine/pe_engine.cc

@@ -74,8 +74,7 @@ PEEngine::PEEngine(const std::shared_ptr<FunctionInfo> &info,
 
 void PEEngine::CreateGraphAndPE() {
   framework::details::BuildStrategy build_strategy;
-  build_strategy.inference_ = true;
-  build_strategy.del_dropout_ = true;
+  build_strategy.enable_inference_pass_ = true;  // use pe to inference
   auto execution_strategy = GetExecutionStrategy(place_);
 
   auto &program_desc = info_->ProgramDesc();