Fix issues

paddle/operators/clip_op.cc

@@ -26,8 +26,8 @@ class ClipOp : public framework::OperatorWithKernel {
  protected:
   void InferShape(const framework::InferShapeContext &ctx) const override {
     auto x_dims = ctx.Input<Tensor>("X")->dims();
-    auto max = GetAttr<float>("max");
-    auto min = GetAttr<float>("min");
+    auto max = Attr<float>("max");
+    auto min = Attr<float>("min");
     PADDLE_ENFORCE_LT(min, max, "max should be greater than min.");
     ctx.Output<Tensor>("Out")->Resize(x_dims);
   }

paddle/operators/clip_op.cu

@@ -34,8 +34,8 @@ template <typename T>
 class ClipGradientOpCUDAKernel : public framework::OpKernel {
  public:
   void Compute(const framework::ExecutionContext& context) const override {
-    auto max = context.op().GetAttr<float>("max");
-    auto min = context.op().GetAttr<float>("min");
+    auto max = context.op().Attr<float>("max");
+    auto min = context.op().Attr<float>("min");
     auto* d_out = context.Input<Tensor>(framework::GradVarName("Out"));
     auto* d_x = context.Output<Tensor>(framework::GradVarName("X"));
     auto* x = context.Output<Tensor>("X");

paddle/operators/clip_op.h

@@ -30,8 +30,8 @@ template <typename Place, typename T>
 class ClipKernel : public framework::OpKernel {
  public:
   void Compute(const framework::ExecutionContext& context) const override {
-    auto max = context.op().GetAttr<float>("max");
-    auto min = context.op().GetAttr<float>("min");
+    auto max = context.op().Attr<float>("max");
+    auto min = context.op().Attr<float>("min");
     auto* x = context.Input<Tensor>("X");
     auto* out = context.Output<Tensor>("Out");
     out->mutable_data<T>(context.GetPlace());
@@ -46,8 +46,8 @@ template <typename T>
 class ClipGradKernel : public framework::OpKernel {
  public:
   void Compute(const framework::ExecutionContext& context) const override {
-    auto max = context.op().GetAttr<float>("max");
-    auto min = context.op().GetAttr<float>("min");
+    auto max = context.op().Attr<float>("max");
+    auto min = context.op().Attr<float>("min");
     auto* d_out = context.Input<Tensor>(framework::GradVarName("Out"));
     auto* d_x = context.Output<Tensor>(framework::GradVarName("X"));
     auto* x = context.Output<Tensor>("X");