diff --git a/paddle/fluid/lite/api/light_api.h b/paddle/fluid/lite/api/light_api.h
index 474e5da78bd2cd201b17f9a223bd1a177861a532..a43755c87387e6af4d65f541cf1ba61828f3d2a5 100644
--- a/paddle/fluid/lite/api/light_api.h
+++ b/paddle/fluid/lite/api/light_api.h
@@ -72,9 +72,8 @@ class LightPredictor {
 
     // Create the kernels of the target places, and filter out the specific
     // kernel with the target alias.
-    for (auto& op : program.ops_) {
-      lite::pb::OpDesc desc(op->op_info()->desc());
-      auto kernel_type = desc.GetAttr(kKernelTypeAttr).get<std::string>();
+    for (auto& op : program.ops()) {
+      auto kernel_type = op->op_info()->GetAttr<std::string>(kKernelTypeAttr);
       std::string op_type, alias;
       Place place;
       KernelBase::ParseKernelType(kernel_type, &op_type, &alias, &place);
@@ -89,8 +88,8 @@ class LightPredictor {
       insts.emplace_back(op, std::move(*it));
     }
     program_.reset(new RuntimeProgram(std::move(insts)));
-    CHECK(program.exec_scope_);
-    program_->set_exec_scope(program.exec_scope_);
+    CHECK(program.exec_scope());
+    program_->set_exec_scope(program.exec_scope());
   }
 
  private:
diff --git a/paddle/fluid/lite/kernels/x86/sgd_compute.cc b/paddle/fluid/lite/kernels/x86/sgd_compute.cc
index 27261fd14d643f82c8847887c6788f4bb6820439..2b50c9172a0bcbea5c4fb269c295ee37ee99ab05 100644
--- a/paddle/fluid/lite/kernels/x86/sgd_compute.cc
+++ b/paddle/fluid/lite/kernels/x86/sgd_compute.cc
@@ -29,9 +29,9 @@ class SGDCompute : public KernelLite<TARGET(kX86), PRECISION(kFloat)> {
   using param_t = operators::ActivationParam;
 
   void Run() override {
-    auto &context = context_->As<X86Context>();
+    auto &context = ctx_->As<X86Context>();
     auto &sgd_param = *param_.get_mutable<operators::SGDParam>();
-    CHECK(context.x86_device_context);
+    CHECK(context.x86_device_context());
 
     // param.Out->template mutable_data<T>();
 
@@ -45,12 +45,12 @@ class SGDCompute : public KernelLite<TARGET(kX86), PRECISION(kFloat)> {
     PADDLE_ENFORCE_EQ(grad->numel(), sz);
 
     paddle::operators::jit::sgd_attr_t attr(1, sz, 1, sz, 1);
-    const T *lr = learning_rate->data<T>();
-    const T *param_data = param->data<T>();
-    const T *grad_data = grad->data<T>();
+    const T *lr = learning_rate->template data<T>();
+    const T *param_data = param->template data<T>();
+    const T *grad_data = grad->template data<T>();
     int64_t rows_idx = 0;
-    T *out_data =
-        param_out->mutable_data<T>(context.x86_device_context->GetPlace());
+    T *out_data = param_out->template mutable_data<T>(
+        context.x86_device_context()->GetPlace());
 
     auto sgd =
         paddle::operators::jit::KernelFuncs<paddle::operators::jit::SgdTuple<T>,