diff --git a/tensorflow/lite/kernels/activations.cc b/tensorflow/lite/kernels/activations.cc
index cd16bccc062..bf1ff8d50d7 100644
--- a/tensorflow/lite/kernels/activations.cc
+++ b/tensorflow/lite/kernels/activations.cc
@@ -430,15 +430,15 @@ TfLiteStatus TanhPrepare(TfLiteContext* context, TfLiteNode* node) {
     TF_LITE_ENSURE_EQ(context, output->params.zero_point, 0);
 
     int input_scale_log2_rounded;
-    bool paramScalePOT =
+    bool param_scale_pot =
         CheckedLog2(input->params.scale, &input_scale_log2_rounded);
 
     data->input_left_shift =
         (15 - kInputIntegerBits) + input_scale_log2_rounded;
-    paramScalePOT &=
+    param_scale_pot &=
         (data->input_left_shift == 0 || data->input_left_shift == 1);
 
-    if (!paramScalePOT) {
+    if (!param_scale_pot) {
       // In case of general scale parameter, we need to do a rescaling.
       // Magic constant 4096:
       // We need to scale down to (-2^3, 2^3) / 3 is kInputIntegerBits/ interval
@@ -526,14 +526,14 @@ TfLiteStatus SigmoidPrepare(TfLiteContext* context, TfLiteNode* node) {
     TF_LITE_ENSURE_EQ(context, output->params.zero_point, 0);
 
     int input_scale_log2_rounded;
-    bool paramScalePOT =
+    bool param_scale_pot =
         CheckedLog2(input->params.scale, &input_scale_log2_rounded);
 
     data->input_left_shift =
         (15 - kInputIntegerBits) + input_scale_log2_rounded;
-    paramScalePOT &= (data->input_left_shift == 0);
+    param_scale_pot &= (data->input_left_shift == 0);
 
-    if (!paramScalePOT) {
+    if (!param_scale_pot) {
       // In case of general scale parameter, we need to do a rescaling.
       // Magic constant 4096:
       // We need to scale down to (-2^3, 2^3) / 3 is kInputIntegerBits/ interval
diff --git a/tensorflow/lite/kernels/internal/reference/integer_ops/logistic.h b/tensorflow/lite/kernels/internal/reference/integer_ops/logistic.h
index 39654e542f2..e315683c0cd 100644
--- a/tensorflow/lite/kernels/internal/reference/integer_ops/logistic.h
+++ b/tensorflow/lite/kernels/internal/reference/integer_ops/logistic.h
@@ -66,7 +66,7 @@ inline void Logistic(int32_t input_multiplier, int32_t input_size,
   int32_t input_data_mul = (input_multiplier > 0) ? input_multiplier : 1;
 
   for (int i = 0; i < input_size; ++i, ptr_input_data++, ptr_output_data++) {
-    int32_t input_data = (*ptr_input_data)*input_data_mul;
+    int32_t input_data = (*ptr_input_data) * input_data_mul;
 
     // Scale by 3/4 to expand range [-8,8]->[-10.7,10.7] and
     // we do interpolation on unsigned values.
diff --git a/tensorflow/lite/kernels/internal/reference/integer_ops/tanh.h b/tensorflow/lite/kernels/internal/reference/integer_ops/tanh.h
index 58e36f955d0..baae65ab30e 100644
--- a/tensorflow/lite/kernels/internal/reference/integer_ops/tanh.h
+++ b/tensorflow/lite/kernels/internal/reference/integer_ops/tanh.h
@@ -66,7 +66,7 @@ inline void Tanh(int32_t input_multiplier, int32_t input_left_shift,
   int32_t input_data_mul = (input_multiplier > 0) ? input_multiplier : 1;
 
   for (int i = 0; i < input_size; ++i, ptr_input_data++, ptr_output_data++) {
-    int32_t input_data = (*ptr_input_data)*input_data_mul;
+    int32_t input_data = (*ptr_input_data) * input_data_mul;
 
     if (input_left_shift == 1) {
       input_data <<= 1;