Adapt new interface.

paddle/operators/smooth_l1_loss_op.cc

@@ -111,7 +111,8 @@ class SmoothL1LossGradOp : public framework::OperatorWithKernel {
 
 namespace ops = paddle::operators;
 REGISTER_OP(smooth_l1_loss, ops::SmoothL1LossOp,
-            ops::SmoothL1LossOpMaker<float>, ops::SmoothL1LossGradOp);
+            ops::SmoothL1LossOpMaker<float>, smooth_l1_loss_grad,
+            ops::SmoothL1LossGradOp);
 REGISTER_OP_CPU_KERNEL(
     smooth_l1_loss, ops::SmoothL1LossKernel<paddle::platform::CPUPlace, float>);
 REGISTER_OP_CPU_KERNEL(

paddle/operators/smooth_l1_loss_op.h

@@ -59,7 +59,7 @@ class SmoothL1LossKernel : public framework::OpKernel {
     out1->mutable_data<T>(context.GetPlace());
     auto place = context.GetEigenDevice<Place>();
 
-    auto sigma = static_cast<T>(context.op_.GetAttr<AttrType>("sigma"));
+    auto sigma = static_cast<T>(context.op().Attr<AttrType>("sigma"));
     T sigma2 = sigma * sigma;
     bool has_weight = (in2 != nullptr) && (in3 != nullptr);
 
@@ -122,7 +122,7 @@ class SmoothL1LossGradKernel : public framework::OpKernel {
     auto* in1 = context.Input<Tensor>("OutsideWeight");
     auto* in2 = context.Input<Tensor>("diff");
     auto* og = context.Input<Tensor>(framework::GradVarName("Out"));
-    auto sigma = static_cast<T>(context.op_.GetAttr<AttrType>("sigma"));
+    auto sigma = static_cast<T>(context.op().Attr<AttrType>("sigma"));
     T sigma2 = sigma * sigma;
     bool has_weight = (in0 != nullptr) && (in1 != nullptr);