diff --git a/paddle/operators/gaussian_random_op.cc b/paddle/operators/gaussian_random_op.cc
index f5fd902c5f72c18955e19539a9de00af11612829..d7ced6b526b51ea453dfe630894aa4675ef7087a 100644
--- a/paddle/operators/gaussian_random_op.cc
+++ b/paddle/operators/gaussian_random_op.cc
@@ -23,7 +23,7 @@ template <typename T>
 class GaussianRandomOpKernel<platform::CPUPlace, T>
     : public framework::OpKernel {
  public:
-  void Compute(const framework::KernelContext& context) const override {
+  void Compute(const framework::ExecutionContext& context) const override {
     auto mean = context.op_.GetAttr<T>("mean");
     auto std = context.op_.GetAttr<T>("std");
     auto* output = context.Output(0)->GetMutable<framework::Tensor>();
@@ -41,15 +41,14 @@ class GaussianRandomOpKernel<platform::CPUPlace, T>
 
 class GaussianRandomOp : public framework::OperatorWithKernel {
  protected:
-  void InferShape(
-      const std::vector<const framework::Tensor*>& inputs,
-      const std::vector<framework::Tensor*>& outputs) const override {
+  void InferShape(const framework::InferShapeContext& ctx) const override {
     PADDLE_ENFORCE(inputs.size() == 0, "Input size of RandomOp must be zero.");
     PADDLE_ENFORCE(outputs.size() == 1, "Output size of RandomOp must be one.");
     PADDLE_ENFORCE(outputs[0] != nullptr,
                    "Outputs of RandomOp must all be set.");
-    outputs[0]->Resize(
-        framework::make_ddim(this->GetAttr<std::vector<int>>("shape")));
+    auto* tensor = ctx.Output<Tensor>(0);
+    auto dims = GetAttr(std::vector<int>("shape"));
+    tensor->Resize(framework::make_ddim(dims));
   }
 };