diff --git a/tensorflow/lite/kernels/mul_test.cc b/tensorflow/lite/kernels/mul_test.cc
index cd6abe04624..5efeb6b29b6 100644
--- a/tensorflow/lite/kernels/mul_test.cc
+++ b/tensorflow/lite/kernels/mul_test.cc
@@ -113,7 +113,7 @@ TEST(FloatMulOpTest, ActivationRELU_N1_TO_1) {
 }
 
 TEST(FloatMulOpTest, VariousInputShapes) {
-  std::vector<std::vector<int>> test_shapes = {
+  const std::vector<std::vector<int>> test_shapes = {
       {6}, {2, 3}, {2, 1, 3}, {1, 3, 1, 2}};
   for (int i = 0; i < test_shapes.size(); ++i) {
     FloatMulOpModel m({TensorType_FLOAT32, test_shapes[i]},
@@ -130,7 +130,7 @@ TEST(FloatMulOpTest, VariousInputShapes) {
 }
 
 TEST(FloatMulOpTest, WithScalarBroadcast) {
-  std::vector<std::vector<int>> test_shapes = {
+  const std::vector<std::vector<int>> test_shapes = {
       {6}, {2, 3}, {2, 1, 3}, {1, 3, 1, 2}};
   for (int i = 0; i < test_shapes.size(); ++i) {
     FloatMulOpModel m({TensorType_FLOAT32, test_shapes[i]},
@@ -147,7 +147,7 @@ TEST(FloatMulOpTest, WithScalarBroadcast) {
 }
 
 TEST(FloatMulOpTest, WithBroadcast) {
-  std::vector<std::vector<int>> test_shapes = {
+  const std::vector<std::vector<int>> test_shapes = {
       {2, 4}, {2, 1, 4}, {1, 2, 4}, {1, 2, 1, 4}};
   for (int i = 0; i < test_shapes.size(); ++i) {
     FloatMulOpModel m({TensorType_FLOAT32, test_shapes[i]},
@@ -166,9 +166,9 @@ TEST(FloatMulOpTest, WithBroadcast) {
 
 TEST(FloatMulOpTest, MixedBroadcast) {
   const std::vector<int> base_shape = {2, 3, 1, 2};
-  std::vector<std::vector<int>> test_shapes = {
+  const std::vector<std::vector<int>> test_shapes = {
       {1, 1, 3, 2}, {1, 3, 1, 2}, {2, 1, 3, 1}, {2, 3, 1, 1}};
-  std::vector<std::vector<float>> test_outputs = {
+  const std::vector<std::vector<float>> test_outputs = {
       {-0.06f, 0.69f,  0.12f,  1.15f, -0.30f, 2.07f,  0.18f,  0.15f, -0.36f,
        0.25f,  0.90f,  0.45f,  0.16f, -0.33f, -0.32f, -0.55f, 0.80f, -0.99f,
        0.24f,  0.84f,  -0.48f, 1.40f, 1.20f,  2.52f,  -0.32f, 0.00f, 0.64f,
@@ -214,7 +214,7 @@ TEST(FloatMulOpTest, MixedBroadcast) {
 }
 
 TEST(FloatMulOpTest, WithBroadcast2Elements) {
-  std::vector<std::vector<int>> test_shapes = {
+  const std::vector<std::vector<int>> test_shapes = {
       {2, 2}, {2, 1, 2}, {1, 2, 2}, {1, 2, 1, 2}};
   for (int i = 0; i < test_shapes.size(); ++i) {
     FloatMulOpModel m({TensorType_FLOAT32, test_shapes[i]},
@@ -250,7 +250,7 @@ TEST(IntegerMulOpTest, ActivationRELU_N1_TO_1) {
 }
 
 TEST(IntegerMulOpTest, VariousInputShapes) {
-  std::vector<std::vector<int>> test_shapes = {
+  const std::vector<std::vector<int>> test_shapes = {
       {6}, {2, 3}, {2, 1, 3}, {1, 3, 1, 2}};
   for (int i = 0; i < test_shapes.size(); ++i) {
     IntegerMulOpModel m({TensorType_INT32, test_shapes[i]},
@@ -265,7 +265,7 @@ TEST(IntegerMulOpTest, VariousInputShapes) {
 }
 
 TEST(IntegerMulOpTest, WithBroadcast) {
-  std::vector<std::vector<int>> test_shapes = {
+  const std::vector<std::vector<int>> test_shapes = {
       {6}, {2, 3}, {2, 1, 3}, {1, 3, 1, 2}};
   for (int i = 0; i < test_shapes.size(); ++i) {
     IntegerMulOpModel m({TensorType_INT32, test_shapes[i]},
@@ -392,12 +392,12 @@ float GetTolerance(int min, int max) {
 
 template <TensorType tensor_type, typename integer_dtype>
 void WithBroadcast() {
-  float kQuantizedTolerance = GetTolerance(-3.0, 3.0);
-  std::vector<std::vector<int>> test_shapes = {
+  const float kQuantizedTolerance = GetTolerance(-3.0, 3.0);
+  const std::vector<std::vector<int>> test_shapes = {
       {6}, {2, 3}, {2, 1, 3}, {1, 3, 1, 2}};
   // Test with a smaller than 1 and greater than 1 quantization multiplier
-  std::vector<std::pair<float, float>> test_input_range = {{-3.0, 3.0},
-                                                           {-6.0, 6.0}};
+  const std::vector<std::pair<float, float>> test_input_range = {{-3.0, 3.0},
+                                                                 {-6.0, 6.0}};
   for (int i = 0; i < test_shapes.size(); ++i) {
     for (int j = 0; j < test_input_range.size(); ++j) {
       const std::pair<float, float>& input_range = test_input_range[j];
@@ -420,11 +420,11 @@ void WithBroadcast() {
 
 template <enum TensorType tensor_type, typename integer_dtype>
 void QuantizedWithMixedBroadcast() {
-  float kQuantizedTolerance = GetTolerance(-3.f, 3.f);
+  const float kQuantizedTolerance = GetTolerance(-3.f, 3.f);
   const std::vector<int> base_shape = {2, 3, 1, 2};
-  std::vector<std::vector<int>> test_shapes = {
+  const std::vector<std::vector<int>> test_shapes = {
       {1, 1, 3, 2}, {1, 3, 1, 2}, {2, 1, 3, 1}, {2, 3, 1, 1}};
-  std::vector<std::vector<float>> test_outputs = {
+  const std::vector<std::vector<float>> test_outputs = {
       {-0.06f, 0.69f,  0.12f,  1.15f, -0.30f, 2.07f,  0.18f,  0.15f, -0.36f,
        0.25f,  0.90f,  0.45f,  0.16f, -0.33f, -0.32f, -0.55f, 0.80f, -0.99f,
        0.24f,  0.84f,  -0.48f, 1.40f, 1.20f,  2.52f,  -0.32f, 0.00f, 0.64f,