update

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:

paddle/fluid/lite/kernels/x86/sgd_compute.cc

@@ -45,9 +45,9 @@ 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());