diff --git a/mindspore/lite/nnacl/fp16/reduce_fp16.c b/mindspore/lite/nnacl/fp16/reduce_fp16.c
index 69a21a4c64..bed1b3b0ee 100644
--- a/mindspore/lite/nnacl/fp16/reduce_fp16.c
+++ b/mindspore/lite/nnacl/fp16/reduce_fp16.c
@@ -30,11 +30,11 @@ int ReduceMeanFp16(const int outer_size, const int inner_size, const int axis_si
     for (k = 0; k < inner_size; k++) {
       const float16_t *inner_src = outer_src + k;
       float16_t *inner_dst = outer_dst + k;
-      float16_t tmp = 0.0;
+      float tmp = 0.0;
       for (i = 0; i < axis_size; i++) {
         tmp += inner_src[i * inner_size];
       }
-      *inner_dst = tmp / (float16_t)axis_size;
+      *inner_dst = (float16_t)(tmp / axis_size);
     }
   }
   return NNACL_OK;
diff --git a/mindspore/lite/src/runtime/kernel/arm/fp32/arithmetic.cc b/mindspore/lite/src/runtime/kernel/arm/fp32/arithmetic.cc
index 8c41ad946b..eead37132f 100644
--- a/mindspore/lite/src/runtime/kernel/arm/fp32/arithmetic.cc
+++ b/mindspore/lite/src/runtime/kernel/arm/fp32/arithmetic.cc
@@ -36,7 +36,7 @@ int ArithmeticCPUKernel::Init() {
   if (!InferShapeDone()) {
     return RET_OK;
   }
-  if (in_tensors_[0]->data_type() == kNumberTypeFloat32) {
+  if (in_tensors_[0]->data_type() == kNumberTypeFloat32 || in_tensors_[0]->data_type() == kNumberTypeFloat16) {
     data_type_ = kDataTypeFloat;
   } else {
     data_type_ = kDataTypeInt;