diff --git a/paddle/framework/tensor.h b/paddle/framework/tensor.h
index 10813d4aadb70e96ecfbbc88c9f28fe87e0fe1a1..5f07256c05087e165ed471daed9ba0dd2cd2372b 100644
--- a/paddle/framework/tensor.h
+++ b/paddle/framework/tensor.h
@@ -117,7 +117,7 @@ class Tensor {
 #ifdef PADDLE_ONLY_CPU
       PADDLE_THROW("'GPUPlace' is not supported in CPU only device.");
 #else
-      GpuMemcpySync(dst_ptr, src_ptr, size, cudaMemcpyDeviceToHost);
+      platform::GpuMemcpySync(dst_ptr, src_ptr, size, cudaMemcpyDeviceToHost);
 #endif
     }
   }
diff --git a/paddle/pybind/pybind.cc b/paddle/pybind/pybind.cc
index e53340cc9fa27314adc09364dbfa2bc90d5ddcd3..2cc26a926e37d40bd7ead59abded1b738696cd05 100644
--- a/paddle/pybind/pybind.cc
+++ b/paddle/pybind/pybind.cc
@@ -138,13 +138,12 @@ All parameter, weight, gradient are variables in Paddle.
                   })
 #ifndef PADDLE_ONLY_CPU
       .def_static("gpu_context",
-                  [](paddle::platform::Place& place)
+                  [](paddle::platform::GPUPlace& place)
                       -> paddle::platform::DeviceContext* {
-                    return new paddle::platform::CUDADeviceContext(place);
-                  })
+                        return new paddle::platform::CUDADeviceContext(place);
+                      })
 #endif
-      ;
-
+      ;  // NOLINT
   py::class_<paddle::platform::Place>(m, "GPUPlace").def(py::init<int>());
 
   py::class_<paddle::platform::Place>(m, "CPUPlace").def(py::init<>());
diff --git a/paddle/pybind/tensor_bind.h b/paddle/pybind/tensor_bind.h
index a94c89d328b35cb199762411fa9ac74b3f9e45fe..fdf8861b68c4750655cebc0bf46e96857f483d1a 100644
--- a/paddle/pybind/tensor_bind.h
+++ b/paddle/pybind/tensor_bind.h
@@ -102,7 +102,7 @@ void PyTensorSetFromArray(
 #ifdef PADDLE_ONLY_CPU
     PADDLE_THROW("'GPUPlace' is not supported in CPU only device.");
 #else
-    GpuMemcpySync(
+    platform::GpuMemcpySync(
         dst, array.data(), sizeof(T) * array.size(), cudaMemcpyHostToDevice);
 #endif
   }