diff --git a/paddle/fluid/platform/gpu_launch_config.h b/paddle/fluid/platform/gpu_launch_config.h
old mode 100755
new mode 100644
index 3953abe142d207ba8427ee1d55a2e4d17da11d37..57074452d88b259c5edc188260b7f2dfd605764a
--- a/paddle/fluid/platform/gpu_launch_config.h
+++ b/paddle/fluid/platform/gpu_launch_config.h
@@ -37,19 +37,20 @@ struct GpuLaunchConfig {
 
 inline GpuLaunchConfig GetGpuLaunchConfig1D(
     const platform::CUDADeviceContext& context, int element_count) {
-  PADDLE_ENFORCE_GT(element_count, 0, platform::errors::InvalidArgument(
-                                          "element count should greater than 0,"
-                                          " but received value is %d.",
-                                          element_count));
+  PADDLE_ENFORCE_GT(element_count, 0,
+                    platform::errors::InvalidArgument(
+                        "element count should be greater than 0,"
+                        " but received value is: %d.",
+                        element_count));
 
   const int theory_thread_count = element_count;
   // Get Max threads in all SM
-  int max_pyhsical_threads = context.GetMaxPhysicalThreadCount();
+  int max_physical_threads = context.GetMaxPhysicalThreadCount();
   int sm = context.GetSMCount();
 
-  // Compute pyhsical threads we need, should small than max sm threads
+  // Compute physical threads we need, should small than max sm threads
   const int physical_thread_count =
-      std::min(max_pyhsical_threads, theory_thread_count);
+      std::min(max_physical_threads, theory_thread_count);
 
   // Need get from device
   const int thread_per_block = std::min(1024, context.GetMaxThreadsPerBlock());
@@ -64,18 +65,18 @@ inline GpuLaunchConfig GetGpuLaunchConfig1D(
 }
 
 inline GpuLaunchConfig GetGpuLaunchConfig2D(
-    const platform::CUDADeviceContext& context, int xdim, int ydim) {
-  PADDLE_ENFORCE_GT(xdim, 0, platform::errors::InvalidArgument(
-                                 "x dim number should greater than 0,"
-                                 " but received value is:%d",
-                                 xdim));
-  PADDLE_ENFORCE_GT(ydim, 0, platform::errors::InvalidArgument(
-                                 "y dim number should greater than 0,"
-                                 " but received value is:%d",
-                                 ydim));
+    const platform::CUDADeviceContext& context, int x_dim, int y_dim) {
+  PADDLE_ENFORCE_GT(x_dim, 0, platform::errors::InvalidArgument(
+                                  "x dim number should greater than 0,"
+                                  " but received value is: %d",
+                                  x_dim));
+  PADDLE_ENFORCE_GT(y_dim, 0, platform::errors::InvalidArgument(
+                                  "y dim number should greater than 0,"
+                                  " but received value is: %d",
+                                  y_dim));
 
   const int kThreadsPerBlock = 256;
-  int block_cols = std::min(xdim, kThreadsPerBlock);
+  int block_cols = std::min(x_dim, kThreadsPerBlock);
   int block_rows = std::max(kThreadsPerBlock / block_cols, 1);
 
   int max_physical_threads = context.GetMaxPhysicalThreadCount();
@@ -83,11 +84,11 @@ inline GpuLaunchConfig GetGpuLaunchConfig2D(
 
   GpuLaunchConfig config;
   // Noticed, block size is not align to 32, if needed do it yourself.
-  config.theory_thread_count = dim3(xdim, ydim, 1);
+  config.theory_thread_count = dim3(x_dim, y_dim, 1);
   config.thread_per_block = dim3(block_cols, block_rows, 1);
 
-  int grid_x = std::min(DivUp(xdim, block_cols), max_blocks);
-  int grid_y = std::min(max_blocks / grid_x, std::max(ydim / block_rows, 1));
+  int grid_x = std::min(DivUp(x_dim, block_cols), max_blocks);
+  int grid_y = std::min(max_blocks / grid_x, std::max(y_dim / block_rows, 1));
 
   config.block_per_grid = dim3(grid_x, grid_y, 1);
   return config;