diff --git a/paddle/operators/gaussian_random_op.cc b/paddle/operators/gaussian_random_op.cc
index 583c9e57744368076688ad31d7d53883549d2b73..8bb61275badfccec49953015a47b87b0879153bf 100644
--- a/paddle/operators/gaussian_random_op.cc
+++ b/paddle/operators/gaussian_random_op.cc
@@ -46,7 +46,8 @@ class GaussianRandomOp : public framework::OperatorWithKernel {
   void InferShape(const framework::InferShapeContext& context) const override {
     auto* tensor = context.Output<framework::Tensor>("Out");
     auto dims = GetAttr<std::vector<int>>("dims");
-    std::vector<int64_t> temp(dims.size());
+    std::vector<int64_t> temp;
+    temp.reserve(dims.size());
     for (auto dim : dims) {
       temp.push_back(static_cast<int64_t>(dim));
     }
diff --git a/paddle/operators/uniform_random_op.cc b/paddle/operators/uniform_random_op.cc
index 3241d4289ad441c2ef1d32a8134f57f9b9813111..40cef8942a3648af5629e5a5db0f021ae3d6f1c1 100644
--- a/paddle/operators/uniform_random_op.cc
+++ b/paddle/operators/uniform_random_op.cc
@@ -52,7 +52,8 @@ class UniformRandomOp : public framework::OperatorWithKernel {
                    "uniform_random's min must less then max");
     auto* tensor = ctx.Output<framework::Tensor>("Out");
     auto dims = GetAttr<std::vector<int>>("dims");
-    std::vector<int64_t> temp(dims.size());
+    std::vector<int64_t> temp;
+    temp.reserve(dims.size());
     for (auto dim : dims) {
       temp.push_back(static_cast<int64_t>(dim));
     }