diff --git a/lite/tests/kernels/reduce_sum_compute_test.cc b/lite/tests/kernels/reduce_sum_compute_test.cc
index 9cfe213750b1191c1ef8fe7fba1b1c1035c2ae42..c00962344970b6d75b97afb84c975d34a1691606 100644
--- a/lite/tests/kernels/reduce_sum_compute_test.cc
+++ b/lite/tests/kernels/reduce_sum_compute_test.cc
@@ -119,6 +119,55 @@ void reduce_sum_w(const float* src,
   }
 }
 
+void reduce_sum_c(
+    const float* src, float* dst, int channel_in, int height_in, int width_in) {
+  int hw_size = height_in * width_in;
+  int data_index, src_index;
+  for (int h = 0; h < height_in; ++h) {
+    for (int w = 0; w < width_in; ++w) {
+      data_index = h * width_in + w;
+      dst[data_index] = 0.0;
+      for (int n = 0; n < channel_in; ++n) {
+        src_index = n * hw_size + data_index;
+        dst[data_index] += static_cast<float>(src[src_index]);
+      }
+    }
+  }
+}
+void reduce_sum_h(
+    const float* src, float* dst, int channel_in, int height_in, int width_in) {
+  int hw_size = height_in * width_in;
+  int data_index, src_index0, src_index;
+  for (int c = 0; c < channel_in; ++c) {
+    for (int w = 0; w < width_in; ++w) {
+      data_index = c * width_in + w;
+      src_index0 = c * hw_size + w;
+      dst[data_index] = 0.0;
+      for (int h = 0; h < height_in; ++h) {
+        src_index = src_index0 + h * width_in;
+        dst[data_index] += static_cast<float>(src[src_index]);
+      }
+    }
+  }
+}
+void reduce_sum_w(
+    const float* src, float* dst, int channel_in, int height_in, int width_in) {
+  int hw_size = height_in * width_in;
+  int data_index = 0;
+  int src_index0 = 0;
+  int src_index = 0;
+  for (int c = 0; c < channel_in; ++c) {
+    for (int h = 0; h < height_in; ++h) {
+      data_index = c * height_in + h;
+      src_index0 = c * hw_size + h * width_in;
+      dst[data_index] = 0.0;
+      for (int w = 0; w < width_in; ++w) {
+        src_index = src_index0 + w;
+        dst[data_index] += static_cast<float>(src[src_index]);
+      }
+    }
+  }
+}
 void reduce_sum_all(const float* src,
                     float* dst,
                     int num_in,
@@ -255,39 +304,60 @@ class ReduceSumComputeTester : public arena::TestCase {
     out->Resize(DDim(out_dims));
 
     auto* out_data = out->mutable_data<float>();
-    int in_n = x_dims_[0];
-    int in_c = x_dims_[1];
-    int in_h = x_dims_[2];
-    int in_w = x_dims_[3];
+    if (x_dims_.size() == 4) {
+      int in_n = x_dims_[0];
+      int in_c = x_dims_[1];
+      int in_h = x_dims_[2];
+      int in_w = x_dims_[3];
 
-    if (reduce_all_) {
-      reduce_sum_all(x_data, out_data, in_n, in_c, in_h, in_w);
-    } else if (dim_.size() == 1) {
-      switch (dim_[0]) {
-        case 0:
-          reduce_sum_n(x_data, out_data, in_n, in_c, in_h, in_w);
-          break;
-        case 1:
-          reduce_sum_c(x_data, out_data, in_n, in_c, in_h, in_w);
-          break;
-        case 2:
-          reduce_sum_h(x_data, out_data, in_n, in_c, in_h, in_w);
-          break;
-        case 3:
-          reduce_sum_w(x_data, out_data, in_n, in_c, in_h, in_w);
-          break;
-        default:
-          LOG(FATAL) << "error!!!";
+      if (reduce_all_) {
+        reduce_sum_all(x_data, out_data, in_n, in_c, in_h, in_w);
+      } else if (dim_.size() == 1) {
+        switch (dim_[0]) {
+          case 0:
+            reduce_sum_n(x_data, out_data, in_n, in_c, in_h, in_w);
+            break;
+          case 1:
+            reduce_sum_c(x_data, out_data, in_n, in_c, in_h, in_w);
+            break;
+          case 2:
+            reduce_sum_h(x_data, out_data, in_n, in_c, in_h, in_w);
+            break;
+          case 3:
+            reduce_sum_w(x_data, out_data, in_n, in_c, in_h, in_w);
+            break;
+          default:
+            LOG(FATAL) << "error!!!";
+        }
+      } else if (dim_.size() == 2) {
+        if (dim_[0] == 0 && dim_[1] == 1) {
+          reduce_sum_nc(x_data, out_data, in_n, in_c, in_h, in_w);
+        } else if (dim_[0] == 1 && dim_[1] == 2) {
+          reduce_sum_ch(x_data, out_data, in_n, in_c, in_h, in_w);
+        } else if (dim_[0] == 2 && dim_[1] == 3) {
+          reduce_sum_hw(x_data, out_data, in_n, in_c, in_h, in_w);
+        } else {
+          LOG(FATAL) << "invalid dims_!!";
+        }
       }
-    } else if (dim_.size() == 2) {
-      if (dim_[0] == 0 && dim_[1] == 1) {
-        reduce_sum_nc(x_data, out_data, in_n, in_c, in_h, in_w);
-      } else if (dim_[0] == 1 && dim_[1] == 2) {
-        reduce_sum_ch(x_data, out_data, in_n, in_c, in_h, in_w);
-      } else if (dim_[0] == 2 && dim_[1] == 3) {
-        reduce_sum_hw(x_data, out_data, in_n, in_c, in_h, in_w);
-      } else {
-        LOG(FATAL) << "invalid dims_!!";
+    } else {
+      int in_c = x_dims_[0];
+      int in_h = x_dims_[1];
+      int in_w = x_dims_[2];
+      if (dim_.size() == 1 && !reduce_all_) {
+        switch (dim_[0]) {
+          case 0:
+            reduce_sum_c(x_data, out_data, in_c, in_h, in_w);
+            break;
+          case 1:
+            reduce_sum_h(x_data, out_data, in_c, in_h, in_w);
+            break;
+          case 2:
+            reduce_sum_w(x_data, out_data, in_c, in_h, in_w);
+            break;
+          default:
+            LOG(FATAL) << "error!!!";
+        }
       }
     }
   }
@@ -333,6 +403,20 @@ void test_reduce_sum(Place place) {
       }
     }
   }
+  std::vector<std::vector<int>> reduce_dimm{{0}, {1}, {2}};
+  for (auto dim : reduce_dimm) {
+    for (auto c : {1, 3}) {
+      for (auto h : {1, 3}) {
+        for (auto w : {1, 4}) {
+          auto x_dims = DDim(std::vector<int64_t>({c, h, w}));
+          std::unique_ptr<arena::TestCase> tester(new ReduceSumComputeTester(
+              place, "def", dim, false, false, x_dims));
+          arena::Arena arena(std::move(tester), place, 2e-5);
+          arena.TestPrecision();
+        }
+      }
+    }
+  }
 }
 
 TEST(ReduceSum, precision) {