diff --git a/paddle/fluid/operators/elementwise/elementwise_add_op.h b/paddle/fluid/operators/elementwise/elementwise_add_op.h
index 44c233be5750d4b48a63f3b274c5c6a5830c0482..8d1d3f6f1614a9a7d564c3d2a90e583435df7e02 100644
--- a/paddle/fluid/operators/elementwise/elementwise_add_op.h
+++ b/paddle/fluid/operators/elementwise/elementwise_add_op.h
@@ -148,6 +148,8 @@ __global__ void MatrixColReduce(const T *__restrict__ in, T *__restrict__ out,
   size_t width_stride = gridDim.x * blockDim.x;
   size_t full_width = (width & (~((uint64_t)(BLOCK_W - 1)))) +
                       ((width & (BLOCK_W - 1)) ? BLOCK_W : 0);
+  size_t full_height = (height & (~((uint64_t)(BLOCK_H - 1)))) +
+                       ((height & (BLOCK_H - 1)) ? BLOCK_H : 0);
 
 #pragma unroll
   for (size_t w = idx; w < full_width; w += width_stride) {
@@ -155,10 +157,10 @@ __global__ void MatrixColReduce(const T *__restrict__ in, T *__restrict__ out,
     __syncthreads();
     size_t offset = w + threadIdx.y * width;
 #pragma unroll
-    for (size_t h = threadIdx.y; h < height;
+    for (size_t h = threadIdx.y; h < full_height;
          h += BLOCK_H) {  // block-stride loop across matrix height
       sdata[threadIdx.y][threadIdx.x] +=
-          (w < width) ? in[offset] : (static_cast<T>(0));
+          (w < width && h < height) ? in[offset] : (static_cast<T>(0));
       offset += width * BLOCK_H;
     }
     __syncthreads();
@@ -184,21 +186,24 @@ __global__ void FP16MatrixColReduce(
   size_t width_stride = gridDim.x * blockDim.x;
   size_t full_width = (width & (~((uint64_t)(BLOCK_W - 1)))) +
                       ((width & (BLOCK_W - 1)) ? BLOCK_W : 0);
-
+  size_t full_height = (height & (~((uint64_t)(BLOCK_H - 1)))) +
+                       ((height & (BLOCK_H - 1)) ? BLOCK_H : 0);
 #pragma unroll
   for (size_t w = idx; w < full_width; w += width_stride) {
     for (int r = 0; r < repeats; r++) {
       sdata[threadIdx.y + r * BLOCK_W][threadIdx.x] = 0;
     }
     __syncthreads();
+#pragma unroll
     for (int r = 0; r < repeats; r++) {
       size_t offset = w + (r * BLOCK_W + threadIdx.y) * width;
 #pragma unroll
-      for (size_t h = r * BLOCK_H + threadIdx.y; h < height;
+      for (size_t h = threadIdx.y + r * BLOCK_W; h < full_height;
            h += BLOCK_H) {  // block-stride loop across matrix height
         sdata[r * BLOCK_W + threadIdx.y][threadIdx.x] +=
-            (w < width) ? in[offset + r * BLOCK_W * width]
-                        : (static_cast<paddle::platform::float16>(0));
+            (w < width && h < height)
+                ? in[offset]
+                : (static_cast<paddle::platform::float16>(0));
         offset += width * BLOCK_H;
       }
     }
@@ -373,6 +378,7 @@ class ElementwiseAddGradKernel : public ElemwiseGradKernel<T> {
         err = cub::DeviceReduce::Sum(temp_storage, temp_storage_bytes,
                                      dout_data, out_data, nums, stream);
         PADDLE_ENFORCE_CUDA_SUCCESS(err);
+        return;
       }
 
       constexpr int block_x = 32;