diff --git a/paddle/majel/test/cuda_test.cu b/paddle/majel/test/cuda_test.cu
index 360c2548755458bf5725e9e36ac48728a89ba3e8..4067dda2f19f7661722d8a14a27c7b32ed6afc92 100644
--- a/paddle/majel/test/cuda_test.cu
+++ b/paddle/majel/test/cuda_test.cu
@@ -1,15 +1,18 @@
-#include <stdio.h>
 #include <cuda_runtime.h>
+#include <stdio.h>
 #include "gtest/gtest.h"
 
-#define CHECK_ERR(x)                                    \
-  if (x != cudaSuccess) {                               \
-    fprintf(stderr,"%s in %s at line %d\n",             \
-        cudaGetErrorString(err),__FILE__,__LINE__);     \
-    exit(-1);                                           \
+#define CHECK_ERR(x)                 \
+  if (x != cudaSuccess) {            \
+    fprintf(stderr,                  \
+            "%s in %s at line %d\n", \
+            cudaGetErrorString(err), \
+            __FILE__,                \
+            __LINE__);               \
+    exit(-1);                        \
   }
 
-__global__ void vecAdd (float* d_A, float* d_B, float* d_C, int n) {
+__global__ void vecAdd(float *d_A, float *d_B, float *d_C, int n) {
   int i = blockDim.x * blockIdx.x + threadIdx.x;
   if (i < n) {
     d_C[i] = d_A[i] + d_B[i];
@@ -19,35 +22,35 @@ __global__ void vecAdd (float* d_A, float* d_B, float* d_C, int n) {
 TEST(Cuda, Equality) {
   int n = 10;
   // Memory allocation for h_A, h_B and h_C (in the host)
-  float h_A[10] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 0.0 };
-  float h_B[10] = { 0.0, 9.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0 };
+  float h_A[10] = {1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 0.0};
+  float h_B[10] = {0.0, 9.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0};
   float h_C[10];
   float *d_A, *d_B, *d_C;
   cudaError_t err;
   // Memory allocation for d_A, d_B and d_C (in the device)
-  err = cudaMalloc((void **) &d_A, sizeof(float)*n);
+  err = cudaMalloc((void **)&d_A, sizeof(float) * n);
   CHECK_ERR(err);
 
-  err =cudaMalloc((void **) &d_B, sizeof(float)*n);
+  err = cudaMalloc((void **)&d_B, sizeof(float) * n);
   CHECK_ERR(err);
 
-  err =cudaMalloc((void **) &d_C, sizeof(float)*n);
+  err = cudaMalloc((void **)&d_C, sizeof(float) * n);
   CHECK_ERR(err);
-  
+
   // Copying memory to device
-  err = cudaMemcpy(d_A, h_A, sizeof(float)*n, cudaMemcpyHostToDevice);
+  err = cudaMemcpy(d_A, h_A, sizeof(float) * n, cudaMemcpyHostToDevice);
   CHECK_ERR(err);
 
-  err = cudaMemcpy(d_B, h_B, sizeof(float)*n, cudaMemcpyHostToDevice);
+  err = cudaMemcpy(d_B, h_B, sizeof(float) * n, cudaMemcpyHostToDevice);
   CHECK_ERR(err);
 
   // Calling the kernel
-  vecAdd<<<ceil(n/256.0), 256>>>(d_A,d_B,d_C,n);
+  vecAdd<<<ceil(n / 256.0), 256>>>(d_A, d_B, d_C, n);
 
   // Copying results back to host
-  err = cudaMemcpy(h_C, d_C, sizeof(float)*n, cudaMemcpyDeviceToHost);
+  err = cudaMemcpy(h_C, d_C, sizeof(float) * n, cudaMemcpyDeviceToHost);
   CHECK_ERR(err);
-  
+
   EXPECT_EQ(h_C[0], 1.0);
   for (int i = 1; i < n - 1; ++i) {
     EXPECT_EQ(h_C[i], 11.0);