diff --git a/paddle/fluid/operators/uniform_random_op.cc b/paddle/fluid/operators/uniform_random_op.cc
index 619350771a889c339f0e408ce13fb3d0e2abef43..c704a49466577718037db2fb6f4dd644e820a6ab 100644
--- a/paddle/fluid/operators/uniform_random_op.cc
+++ b/paddle/fluid/operators/uniform_random_op.cc
@@ -33,9 +33,9 @@ class CPUUniformRandomKernel : public framework::OpKernel<T> {
     if (list_new_shape_tensor.size() > 0 || ctx.HasInput("ShapeTensor")) {
       if (ctx.HasInput("ShapeTensor")) {
         auto *shape_tensor = ctx.Input<framework::Tensor>("ShapeTensor");
-        new_shape = get_new_data_from_shape_tensor(shape_tensor);
+        new_shape = GetNewDataFromShapeTensor(shape_tensor);
       } else if (list_new_shape_tensor.size() > 0) {
-        new_shape = get_new_shape_from_shape_tensorlist(list_new_shape_tensor);
+        new_shape = GetNewDataFromShapeTensorList(list_new_shape_tensor);
       }
     }
 
@@ -169,14 +169,14 @@ class UniformRandomOpMaker : public framework::OpProtoAndCheckerMaker {
     AddInput("ShapeTensor",
              "(Tensor<int64_t>, optional). If provided, uniform_ranodom "
              "according to "
-             "this given shape. That is to say it has a higher priority than "
+             "this given shape. It means that it has a higher priority than "
              "the shape attribute, while the shape attribute still should be "
              "set correctly to gurantee shape inference in compile time.")
         .AsDispensable();
     AddInput("ShapeTensorList",
              "(vector<Tensor<int64_t>>, optional). If provided, uniform_random "
-             "will use this"
-             "The shape of the tensor in vector MUST BE [1]"
+             "use this."
+             "The shape of the tensor in vector MUST BE [1],"
              "it has the highest priority compare with Input(Shape) and "
              "attr(shape).")
         .AsDuplicable()
diff --git a/paddle/fluid/operators/uniform_random_op.cu b/paddle/fluid/operators/uniform_random_op.cu
index 46b0576ecd16755a365b6f323c5fa04d4bf5962d..53c79cf672e7d71ea2e7202f624a0110cc6ce41d 100644
--- a/paddle/fluid/operators/uniform_random_op.cu
+++ b/paddle/fluid/operators/uniform_random_op.cu
@@ -64,9 +64,9 @@ class GPUUniformRandomKernel : public framework::OpKernel<T> {
     if (list_new_shape_tensor.size() > 0 || context.HasInput("ShapeTensor")) {
       if (context.HasInput("ShapeTensor")) {
         auto* shape_tensor = context.Input<framework::Tensor>("ShapeTensor");
-        new_shape = get_new_data_from_shape_tensor(shape_tensor);
+        new_shape = GetNewDataFromShapeTensor(shape_tensor);
       } else if (list_new_shape_tensor.size() > 0) {
-        new_shape = get_new_shape_from_shape_tensorlist(list_new_shape_tensor);
+        new_shape = GetNewDataFromShapeTensorList(list_new_shape_tensor);
       }
     }
 
diff --git a/paddle/fluid/operators/uniform_random_op.h b/paddle/fluid/operators/uniform_random_op.h
index 8916fc88a67bffe8c6cfdd4b06f996cc37521ad3..c759396589711328ce206f095c98e917ccdc4b40 100644
--- a/paddle/fluid/operators/uniform_random_op.h
+++ b/paddle/fluid/operators/uniform_random_op.h
@@ -22,7 +22,7 @@ namespace paddle {
 namespace operators {
 using Tensor = framework::Tensor;
 
-inline std::vector<int64_t> get_new_data_from_shape_tensor(
+inline std::vector<int64_t> GetNewDataFromShapeTensor(
     const Tensor *new_data_tensor) {
   auto *new_data = new_data_tensor->data<int64_t>();
   if (platform::is_gpu_place(new_data_tensor->place())) {
@@ -35,7 +35,7 @@ inline std::vector<int64_t> get_new_data_from_shape_tensor(
   return vec_new_data;
 }
 
-inline std::vector<int64_t> get_new_shape_from_shape_tensorlist(
+inline std::vector<int64_t> GetNewDataFromShapeTensorList(
     const std::vector<const Tensor *> &list_new_shape_tensor) {
   std::vector<int64_t> vec_new_shape;
   vec_new_shape.reserve(list_new_shape_tensor.size());
@@ -46,10 +46,9 @@ inline std::vector<int64_t> get_new_shape_from_shape_tensorlist(
     if (platform::is_gpu_place(tensor->place())) {
       framework::Tensor temp;
       TensorCopySync(*tensor, platform::CPUPlace(), &temp);
-
-      vec_new_shape.push_back(static_cast<int64_t>(*temp.data<int64_t>()));
+      vec_new_shape.push_back(*temp.data<int64_t>());
     } else {
-      vec_new_shape.push_back(static_cast<int64_t>(*tensor->data<int64_t>()));
+      vec_new_shape.push_back(*tensor->data<int64_t>());
     }
   }