diff --git a/mace/libmace/mace.cc b/mace/libmace/mace.cc
index d7b79d544bbe3796f403add1442c427f425a326f..a03e877499785913671524ab31753535c146acca 100644
--- a/mace/libmace/mace.cc
+++ b/mace/libmace/mace.cc
@@ -453,6 +453,8 @@ class MaceEngine::Impl {
   MaceStatus TransposeOutput(const Tensor *output_tensor,
                              std::pair<const std::string, MaceTensor> *output);
 
+  Tensor *CreateInputTensor(const std::string &input_name, DataType input_dt);
+
  private:
   std::unique_ptr<port::ReadOnlyMemoryRegion> model_data_;
   std::unique_ptr<OpRegistry> op_registry_;
@@ -554,6 +556,20 @@ MaceEngine::Impl::Impl(const MaceEngineConfig &config)
   MACE_CHECK_NOTNULL(device_);
 }
 
+Tensor *MaceEngine::Impl::CreateInputTensor(const std::string &input_name,
+                                            DataType input_dt) {
+  Tensor *input_tensor = nullptr;
+  if (input_dt == DT_FLOAT &&
+      (net_data_type_ == DT_BFLOAT16 || net_data_type_ == DT_FLOAT16)) {
+    input_tensor =
+        ws_->CreateTensor(input_name, device_->allocator(), net_data_type_);
+  } else {
+    input_tensor =
+        ws_->CreateTensor(input_name, device_->allocator(), input_dt);
+  }
+  return input_tensor;
+}
+
 MaceStatus MaceEngine::Impl::Init(
     const NetDef *net_def,
     const std::vector<std::string> &input_nodes,
@@ -584,8 +600,7 @@ MaceStatus MaceEngine::Impl::Init(
                  << MakeString(MapKeys(input_info_map_));
     }
     DataType input_dt = input_info_map_[input_name].data_type();
-    Tensor *input_tensor =
-        ws_->CreateTensor(input_name, device_->allocator(), input_dt);
+    Tensor *input_tensor = CreateInputTensor(input_name, input_dt);
     // Resize to possible largest shape to avoid resize during running.
     std::vector<index_t> shape(input_info_map_[input_name].dims_size());
     for (int i = 0; i < input_info_map_[input_name].dims_size(); ++i) {
@@ -765,18 +780,19 @@ MaceStatus MaceEngine::Impl::TransposeInput(
                                 input.second.shape(),
                                 dst_dims,
                                 input_data);
-#ifdef MACE_ENABLE_BFLOAT16
-        } else if (net_data_type_ == DT_BFLOAT16) {
-          auto *input_data = input_tensor->mutable_data<BFloat16>();
-          return ops::Transpose(thread_pool_.get(),
-                                input.second.data<float>().get(),
-                                input.second.shape(),
-                                dst_dims,
-                                input_data);
-#endif  // MACE_ENABLE_BFLOAT16
         } else {
           LOG(FATAL) << "Invalid net data type: " << net_data_type_;
         }
+#ifdef MACE_ENABLE_BFLOAT16  // todo(lichao): add float16 macro
+      } else if (input_dt == DataType::DT_FLOAT16 ||
+                 input_dt == DataType::DT_BFLOAT16) {
+        auto *input_data = input_tensor->mutable_data<BFloat16>();
+        return ops::Transpose(thread_pool_.get(),
+                              input.second.data<float>().get(),
+                              input.second.shape(),
+                              dst_dims,
+                              input_data);
+#endif  // MACE_ENABLE_BFLOAT16
       } else if (input_dt == DataType::DT_INT32) {
         auto input_data = input_tensor->mutable_data<int>();
         return ops::Transpose(thread_pool_.get(),
@@ -800,17 +816,18 @@ MaceStatus MaceEngine::Impl::TransposeInput(
       auto input_data = input_tensor->mutable_data<float>();
       memcpy(input_data, input.second.data().get(),
              input_tensor->size() * sizeof(float));
-#ifdef MACE_ENABLE_BFLOAT16
-    } else if (net_data_type_ == DataType::DT_BFLOAT16) {
-      auto input_data = input_tensor->mutable_data<BFloat16>();
-      const float *data = input.second.data().get();
-      for (index_t i = 0; i < input_tensor->size(); ++i) {
-        input_data[i] = data[i];
-      }
-#endif  // MACE_ENABLE_BFLOAT16
     } else {
       LOG(FATAL) << "Invalid net data type: " << net_data_type_;
     }
+#ifdef MACE_ENABLE_BFLOAT16  // todo(lichao): add float16 macro
+  } else if (input_dt == DataType::DT_FLOAT16 ||
+             input_dt == DataType::DT_BFLOAT16) {
+    auto input_data = input_tensor->mutable_data<BFloat16>();
+    const float *data = input.second.data().get();
+    for (index_t i = 0; i < input_tensor->size(); ++i) {
+      input_data[i] = data[i];
+    }
+#endif  // MACE_ENABLE_BFLOAT16
   } else if (input_dt == DataType::DT_INT32) {
     auto input_data = input_tensor->mutable_data<int>();
     memcpy(input_data, input.second.data().get(),