[Refactor] Prepend `_` to internal API name

To distinguish between internal and public APIs, prepend `_` to the internal APIs.

Signed-off-by: gichan2-jang <gichan2.jang@samsung.com>

12 files changed, 149 insertions, 148 deletions

diff --git a/c/src/ml-api-service-agent-client.c b/c/src/ml-api-service-agent-client.c
index 1b7e1b0..382214e 100644
--- a/c/src/ml-api-service-agent-client.c
+++ b/c/src/ml-api-service-agent-client.c
@@ -389,7 +389,7 @@ ml_service_pipeline_get_state (ml_service_h handle, ml_pipeline_state_e * state)
  * @brief Internal function to release ml-service pipeline data.
  */
 int
-ml_service_pipeline_release_internal (ml_service_s * mls)
+_ml_service_pipeline_release_internal (ml_service_s * mls)
 {
   _ml_service_server_s *server = (_ml_service_server_s *) mls->priv;
   int ret;
diff --git a/c/src/ml-api-service-extension.c b/c/src/ml-api-service-extension.c
index 755b9f9..f0532d7 100644
--- a/c/src/ml-api-service-extension.c
+++ b/c/src/ml-api-service-extension.c
@@ -615,7 +615,7 @@ _ml_extension_conf_parse_json (ml_service_s * mls, JsonObject * object)
  * @brief Internal function to create ml-service extension.
  */
 int
-ml_service_extension_create (ml_service_s * mls, JsonObject * object)
+_ml_service_extension_create (ml_service_s * mls, JsonObject * object)
 {
   ml_extension_s *ext;
   g_autofree gchar *thread_name = g_strdup_printf ("ml-ext-msg-%d", getpid ());
@@ -656,7 +656,7 @@ ml_service_extension_create (ml_service_s * mls, JsonObject * object)
  * @brief Internal function to release ml-service extension.
  */
 int
-ml_service_extension_destroy (ml_service_s * mls)
+_ml_service_extension_destroy (ml_service_s * mls)
 {
   ml_extension_s *ext = (ml_extension_s *) mls->priv;
 
@@ -706,7 +706,7 @@ ml_service_extension_destroy (ml_service_s * mls)
  * @brief Internal function to start ml-service extension.
  */
 int
-ml_service_extension_start (ml_service_s * mls)
+_ml_service_extension_start (ml_service_s * mls)
 {
   ml_extension_s *ext = (ml_extension_s *) mls->priv;
   int status = ML_ERROR_NONE;
@@ -730,7 +730,7 @@ ml_service_extension_start (ml_service_s * mls)
  * @brief Internal function to stop ml-service extension.
  */
 int
-ml_service_extension_stop (ml_service_s * mls)
+_ml_service_extension_stop (ml_service_s * mls)
 {
   ml_extension_s *ext = (ml_extension_s *) mls->priv;
   int status = ML_ERROR_NONE;
@@ -754,7 +754,7 @@ ml_service_extension_stop (ml_service_s * mls)
  * @brief Internal function to get the information of required input data.
  */
 int
-ml_service_extension_get_input_information (ml_service_s * mls,
+_ml_service_extension_get_input_information (ml_service_s * mls,
     const char *name, ml_tensors_info_h * info)
 {
   ml_extension_s *ext = (ml_extension_s *) mls->priv;
@@ -789,7 +789,7 @@ ml_service_extension_get_input_information (ml_service_s * mls,
  * @brief Internal function to get the information of output data.
  */
 int
-ml_service_extension_get_output_information (ml_service_s * mls,
+_ml_service_extension_get_output_information (ml_service_s * mls,
     const char *name, ml_tensors_info_h * info)
 {
   ml_extension_s *ext = (ml_extension_s *) mls->priv;
@@ -831,7 +831,7 @@ ml_service_extension_get_output_information (ml_service_s * mls,
  * @brief Internal function to set the information for ml-service extension.
  */
 int
-ml_service_extension_set_information (ml_service_s * mls, const char *name,
+_ml_service_extension_set_information (ml_service_s * mls, const char *name,
     const char *value)
 {
   ml_extension_s *ext = (ml_extension_s *) mls->priv;
@@ -851,7 +851,7 @@ ml_service_extension_set_information (ml_service_s * mls, const char *name,
  * @brief Internal function to add an input data to process the model in ml-service extension handle.
  */
 int
-ml_service_extension_request (ml_service_s * mls, const char *name,
+_ml_service_extension_request (ml_service_s * mls, const char *name,
     const ml_tensors_data_h data)
 {
   ml_extension_s *ext = (ml_extension_s *) mls->priv;
diff --git a/c/src/ml-api-service-extension.h b/c/src/ml-api-service-extension.h
index 791c94f..c2bc6ff 100644
--- a/c/src/ml-api-service-extension.h
+++ b/c/src/ml-api-service-extension.h
@@ -21,42 +21,42 @@ extern "C" {
 /**
  * @brief Internal function to create ml-service extension.
  */
-int ml_service_extension_create (ml_service_s *mls, JsonObject *object);
+int _ml_service_extension_create (ml_service_s *mls, JsonObject *object);
 
 /**
  * @brief Internal function to release ml-service extension.
  */
-int ml_service_extension_destroy (ml_service_s *mls);
+int _ml_service_extension_destroy (ml_service_s *mls);
 
 /**
  * @brief Internal function to start ml-service extension.
  */
-int ml_service_extension_start (ml_service_s *mls);
+int _ml_service_extension_start (ml_service_s *mls);
 
 /**
  * @brief Internal function to stop ml-service extension.
  */
-int ml_service_extension_stop (ml_service_s *mls);
+int _ml_service_extension_stop (ml_service_s *mls);
 
 /**
  * @brief Internal function to get the information of required input data.
  */
-int ml_service_extension_get_input_information (ml_service_s *mls, const char *name, ml_tensors_info_h *info);
+int _ml_service_extension_get_input_information (ml_service_s *mls, const char *name, ml_tensors_info_h *info);
 
 /**
  * @brief Internal function to get the information of output data.
  */
-int ml_service_extension_get_output_information (ml_service_s *mls, const char *name, ml_tensors_info_h *info);
+int _ml_service_extension_get_output_information (ml_service_s *mls, const char *name, ml_tensors_info_h *info);
 
 /**
  * @brief Internal function to set the information for ml-service extension.
  */
-int ml_service_extension_set_information (ml_service_s *mls, const char *name, const char *value);
+int _ml_service_extension_set_information (ml_service_s *mls, const char *name, const char *value);
 
 /**
  * @brief Internal function to add an input data to process the model in ml-service extension handle.
  */
-int ml_service_extension_request (ml_service_s *mls, const char *name, const ml_tensors_data_h data);
+int _ml_service_extension_request (ml_service_s *mls, const char *name, const ml_tensors_data_h data);
 
 #ifdef __cplusplus
 }
diff --git a/c/src/ml-api-service-offloading.c b/c/src/ml-api-service-offloading.c
index dbd8a47..902d0c4 100644
--- a/c/src/ml-api-service-offloading.c
+++ b/c/src/ml-api-service-offloading.c
@@ -385,7 +385,7 @@ _mlrs_process_service_offloading (nns_edge_data_h data_h, void *user_data)
   dir_path = _mlrs_get_model_dir_path (offloading_s, service_key);
 
   if (offloading_s->offloading_mode == ML_SERVICE_OFFLOADING_MODE_TRAINING) {
-    ret = ml_service_training_offloading_process_received_data (mls, data_h,
+    ret = _ml_service_training_offloading_process_received_data (mls, data_h,
         dir_path, data, service_type);
     if (NNS_EDGE_ERROR_NONE != ret) {
       _ml_error_report_return (ret,
@@ -642,7 +642,7 @@ error:
  * @brief Set offloading mode and private data.
  */
 int
-ml_service_offloading_set_mode (ml_service_h handle,
+_ml_service_offloading_set_mode (ml_service_h handle,
     ml_service_offloading_mode_e mode, void *priv)
 {
   ml_service_s *mls = (ml_service_s *) handle;
@@ -665,7 +665,7 @@ ml_service_offloading_set_mode (ml_service_h handle,
  * @brief Get offloading mode and private data.
  */
 int
-ml_service_offloading_get_mode (ml_service_h handle,
+_ml_service_offloading_get_mode (ml_service_h handle,
     ml_service_offloading_mode_e * mode, void **priv)
 {
   ml_service_s *mls = (ml_service_s *) handle;
@@ -693,7 +693,7 @@ ml_service_offloading_get_mode (ml_service_h handle,
  * @brief Internal function to release ml-service offloading data.
  */
 int
-ml_service_offloading_release_internal (ml_service_s * mls)
+_ml_service_offloading_release_internal (ml_service_s * mls)
 {
   _ml_service_offloading_s *offloading_s;
 
@@ -705,10 +705,10 @@ ml_service_offloading_release_internal (ml_service_s * mls)
 
   if (offloading_s->offloading_mode == ML_SERVICE_OFFLOADING_MODE_TRAINING) {
     /**
-     * 'ml_service_training_offloading_destroy' transfers internally trained models.
+     * '_ml_service_training_offloading_destroy' transfers internally trained models.
      * So keep offloading handle.
      */
-    if (ML_ERROR_NONE != ml_service_training_offloading_destroy (mls)) {
+    if (ML_ERROR_NONE != _ml_service_training_offloading_destroy (mls)) {
       _ml_error_report
           ("Failed to release ml-service training offloading handle");
     }
@@ -740,7 +740,7 @@ ml_service_offloading_release_internal (ml_service_s * mls)
  * @brief Set value in ml-service offloading handle.
  */
 int
-ml_service_offloading_set_information (ml_service_h handle, const gchar * name,
+_ml_service_offloading_set_information (ml_service_h handle, const gchar * name,
     const gchar * value)
 {
   ml_service_s *mls = (ml_service_s *) handle;
@@ -770,7 +770,7 @@ ml_service_offloading_set_information (ml_service_h handle, const gchar * name,
     offloading_s->path = g_strdup (value);
 
     if (offloading_s->offloading_mode == ML_SERVICE_OFFLOADING_MODE_TRAINING) {
-      ret = ml_service_training_offloading_set_path (mls, offloading_s->path);
+      ret = _ml_service_training_offloading_set_path (mls, offloading_s->path);
     }
   }
 
@@ -877,7 +877,7 @@ _ml_service_offloading_create_from_option (ml_service_s * mls,
   }
 
   if (ML_ERROR_NONE == ml_option_get (option, "path", (void **) (&_path))) {
-    ret = ml_service_offloading_set_information (mls, "path", _path);
+    ret = _ml_service_offloading_set_information (mls, "path", _path);
     if (ML_ERROR_NONE != ret) {
       _ml_error_report_return (ret,
           "Failed to set path in ml-service offloading handle.");
@@ -946,7 +946,7 @@ _ml_service_offloading_convert_to_option (JsonObject * object,
  * @brief Internal function to parse configuration file to create offloading service.
  */
 int
-ml_service_offloading_create (ml_service_h handle, JsonObject * object)
+_ml_service_offloading_create (ml_service_h handle, JsonObject * object)
 {
   ml_service_s *mls = (ml_service_s *) handle;
   int status;
@@ -987,7 +987,7 @@ ml_service_offloading_create (ml_service_h handle, JsonObject * object)
   }
 
   if (json_object_has_member (offloading, "training")) {
-    status = ml_service_training_offloading_create (mls, offloading);
+    status = _ml_service_training_offloading_create (mls, offloading);
     if (status != ML_ERROR_NONE) {
       _ml_logw ("Failed to parse training from configuration file.");
     }
@@ -1004,7 +1004,7 @@ done:
  * @brief Internal function to start ml-service offloading.
  */
 int
-ml_service_offloading_start (ml_service_h handle)
+_ml_service_offloading_start (ml_service_h handle)
 {
   ml_service_s *mls = (ml_service_s *) handle;
   _ml_service_offloading_s *offloading_s;
@@ -1018,7 +1018,7 @@ ml_service_offloading_start (ml_service_h handle)
   offloading_s = (_ml_service_offloading_s *) mls->priv;
 
   if (offloading_s->offloading_mode == ML_SERVICE_OFFLOADING_MODE_TRAINING) {
-    ret = ml_service_training_offloading_start (mls);
+    ret = _ml_service_training_offloading_start (mls);
     if (ret != ML_ERROR_NONE) {
       _ml_error_report ("Failed to start training offloading.");
     }
@@ -1031,7 +1031,7 @@ ml_service_offloading_start (ml_service_h handle)
  * @brief Internal function to stop ml-service offloading.
  */
 int
-ml_service_offloading_stop (ml_service_h handle)
+_ml_service_offloading_stop (ml_service_h handle)
 {
   ml_service_s *mls = (ml_service_s *) handle;
   _ml_service_offloading_s *offloading_s;
@@ -1045,7 +1045,7 @@ ml_service_offloading_stop (ml_service_h handle)
   offloading_s = (_ml_service_offloading_s *) mls->priv;
 
   if (offloading_s->offloading_mode == ML_SERVICE_OFFLOADING_MODE_TRAINING) {
-    ret = ml_service_training_offloading_stop (mls);
+    ret = _ml_service_training_offloading_stop (mls);
     if (ret != ML_ERROR_NONE) {
       _ml_error_report ("Failed to stop training offloading.");
     }
@@ -1059,7 +1059,7 @@ ml_service_offloading_stop (ml_service_h handle)
  * Register new information, such as neural network models or pipeline descriptions, on a offloading server.
  */
 int
-ml_service_offloading_request (ml_service_h handle, const char *key,
+_ml_service_offloading_request (ml_service_h handle, const char *key,
     const ml_tensors_data_h input)
 {
   ml_service_s *mls = (ml_service_s *) handle;
@@ -1191,7 +1191,7 @@ done:
  * Register new information, such as neural network models or pipeline descriptions, on a offloading server.
  */
 int
-ml_service_offloading_request_raw (ml_service_h handle, const char *key,
+_ml_service_offloading_request_raw (ml_service_h handle, const char *key,
     void *data, size_t len)
 {
   ml_tensors_data_s input;
@@ -1201,5 +1201,5 @@ ml_service_offloading_request_raw (ml_service_h handle, const char *key,
   input.tensors[0].data = data;
   input.tensors[0].size = len;
 
-  return ml_service_offloading_request (handle, key, &input);
+  return _ml_service_offloading_request (handle, key, &input);
 }
diff --git a/c/src/ml-api-service-offloading.h b/c/src/ml-api-service-offloading.h
index 220882e..a008370 100644
--- a/c/src/ml-api-service-offloading.h
+++ b/c/src/ml-api-service-offloading.h
@@ -48,7 +48,7 @@ typedef enum
 
 #if defined(ENABLE_SERVICE_OFFLOADING)
 /**
- * @brief Parse configuration file and create offloading service.
+ * @brief Internal function to parse configuration file and create offloading service.
  * @param[in] handle The handle of ml-service created by ml_service_new().
  * @param[in] object The json object from config file.
  * @return @c 0 on success. Otherwise a negative error value.
@@ -57,10 +57,10 @@ typedef enum
  * @retval #ML_ERROR_INVALID_PARAMETER Given parameter is invalid.
  * @retval #ML_ERROR_OUT_OF_MEMORY Failed to allocate required memory.
  */
-int ml_service_offloading_create (ml_service_h handle, JsonObject *object);
+int _ml_service_offloading_create (ml_service_h handle, JsonObject *object);
 
 /**
- * @brief Start ml offloading service.
+ * @brief Internal function to start ml offloading service.
  * @param[in] handle ml-service handle created by ml_service_new().
  * @return @c 0 on success. Otherwise a negative error value.
  * @retval #ML_ERROR_NONE Successful.
@@ -71,10 +71,10 @@ int ml_service_offloading_create (ml_service_h handle, JsonObject *object);
  * @retval #ML_ERROR_TRY_AGAIN The pipeline is not ready yet.
  * @retval #ML_ERROR_PERMISSION_DENIED The application does not have the privilege to access to the storage.
  */
-int ml_service_offloading_start (ml_service_h handle);
+int _ml_service_offloading_start (ml_service_h handle);
 
 /**
- * @brief Stop ml offloading service.
+ * @brief Internal function to stop ml offloading service.
  * @param[in] handle ml-service handle created by ml_service_new().
  * @return @c 0 on success. Otherwise a negative error value.
  * @retval #ML_ERROR_NONE Successful.
@@ -85,10 +85,10 @@ int ml_service_offloading_start (ml_service_h handle);
  * @retval #ML_ERROR_TRY_AGAIN The pipeline is not ready yet.
  * @retval #ML_ERROR_PERMISSION_DENIED The application does not have the privilege to access to the storage.
  */
-int ml_service_offloading_stop (ml_service_h handle);
+int _ml_service_offloading_stop (ml_service_h handle);
 
 /**
- * @brief Request service to ml-service offloading.
+ * @brief Internal function to request service to ml-service offloading.
  * @param[in] handle The handle of ml-service.
  * @param[in] key The key of machine learning service.
  * @param[in] input The data to be registered on the offloading server.
@@ -97,10 +97,10 @@ int ml_service_offloading_stop (ml_service_h handle);
  * @retval #ML_ERROR_NOT_SUPPORTED Not supported.
  * @retval #ML_ERROR_INVALID_PARAMETER Given parameter is invalid.
  */
-int ml_service_offloading_request (ml_service_h handle, const char *key, const ml_tensors_data_h input);
+int _ml_service_offloading_request (ml_service_h handle, const char *key, const ml_tensors_data_h input);
 
 /**
- * @brief Request service to ml-service offloading.
+ * @brief Internal function to request service to ml-service offloading.
  * @param[in] handle The handle of ml-service.
  * @param[in] key The key of machine learning service.
  * @param[in] data The raw data to be registered on the offloading server.
@@ -110,10 +110,10 @@ int ml_service_offloading_request (ml_service_h handle, const char *key, const m
  * @retval #ML_ERROR_NOT_SUPPORTED Not supported.
  * @retval #ML_ERROR_INVALID_PARAMETER Given parameter is invalid.
  */
-int ml_service_offloading_request_raw (ml_service_h handle, const char *key, void *data, size_t len);
+int _ml_service_offloading_request_raw (ml_service_h handle, const char *key, void *data, size_t len);
 
 /**
- * @brief Set a required value in ml-service offloading handle.
+ * @brief Internal function to set a required value in ml-service offloading handle.
  * @param[in] handle The handle of ml-service.
  * @param[in] name The service key.
  * @param[in] value The value to set.
@@ -122,10 +122,10 @@ int ml_service_offloading_request_raw (ml_service_h handle, const char *key, voi
  * @retval #ML_ERROR_NOT_SUPPORTED Not supported.
  * @retval #ML_ERROR_INVALID_PARAMETER Given parameter is invalid.
  */
-int ml_service_offloading_set_information (ml_service_h handle, const char *name, const char *value);
+int _ml_service_offloading_set_information (ml_service_h handle, const char *name, const char *value);
 
 /**
- * @brief Set offloading mode and private data.
+ * @brief Internal function to set offloading mode and private data.
  * @param[in] handle The handle of ml-service.
  * @param[in] mode The offloading mode.
  * @param[in] priv The private data for each offloading mode.
@@ -134,10 +134,10 @@ int ml_service_offloading_set_information (ml_service_h handle, const char *name
  * @retval #ML_ERROR_NOT_SUPPORTED Not supported.
  * @retval #ML_ERROR_INVALID_PARAMETER Given parameter is invalid.
  */
-int ml_service_offloading_set_mode (ml_service_h handle, ml_service_offloading_mode_e mode, void *priv);
+int _ml_service_offloading_set_mode (ml_service_h handle, ml_service_offloading_mode_e mode, void *priv);
 
 /**
- * @brief Get offloading mode and private data.
+ * @brief Internal function to get offloading mode and private data.
  * @param[in] handle The handle of ml-service.
  * @param[out] mode The offloading mode.
  * @param[out] priv The private data for each offloading mode.
@@ -146,22 +146,22 @@ int ml_service_offloading_set_mode (ml_service_h handle, ml_service_offloading_m
  * @retval #ML_ERROR_NOT_SUPPORTED Not supported.
  * @retval #ML_ERROR_INVALID_PARAMETER Given parameter is invalid.
  */
-int ml_service_offloading_get_mode (ml_service_h handle, ml_service_offloading_mode_e *mode, void **priv);
+int _ml_service_offloading_get_mode (ml_service_h handle, ml_service_offloading_mode_e *mode, void **priv);
 
 /**
  * @brief Internal function to release ml-service offloading data.
  */
-int ml_service_offloading_release_internal (ml_service_s *mls);
+int _ml_service_offloading_release_internal (ml_service_s *mls);
 #else
-#define ml_service_offloading_create(...) ML_ERROR_NOT_SUPPORTED
-#define ml_service_offloading_start(...) ML_ERROR_NOT_SUPPORTED
-#define ml_service_offloading_stop(...) ML_ERROR_NOT_SUPPORTED
-#define ml_service_offloading_request(...) ML_ERROR_NOT_SUPPORTED
-#define ml_service_offloading_request_raw(...) ML_ERROR_NOT_SUPPORTED
-#define ml_service_offloading_set_information(...) ML_ERROR_NOT_SUPPORTED
-#define ml_service_offloading_release_internal(...) ML_ERROR_NOT_SUPPORTED
-#define ml_service_offloading_set_mode(...) ML_ERROR_NOT_SUPPORTED
-#define ml_service_offloading_get_mode(...) ML_ERROR_NOT_SUPPORTED
+#define _ml_service_offloading_create(...) ML_ERROR_NOT_SUPPORTED
+#define _ml_service_offloading_start(...) ML_ERROR_NOT_SUPPORTED
+#define _ml_service_offloading_stop(...) ML_ERROR_NOT_SUPPORTED
+#define _ml_service_offloading_request(...) ML_ERROR_NOT_SUPPORTED
+#define _ml_service_offloading_request_raw(...) ML_ERROR_NOT_SUPPORTED
+#define _ml_service_offloading_set_information(...) ML_ERROR_NOT_SUPPORTED
+#define _ml_service_offloading_release_internal(...) ML_ERROR_NOT_SUPPORTED
+#define _ml_service_offloading_set_mode(...) ML_ERROR_NOT_SUPPORTED
+#define _ml_service_offloading_get_mode(...) ML_ERROR_NOT_SUPPORTED
 #endif /* ENABLE_SERVICE_OFFLOADING */
 
 #ifdef __cplusplus
diff --git a/c/src/ml-api-service-private.h b/c/src/ml-api-service-private.h
index c3e0a14..e0fb2c5 100644
--- a/c/src/ml-api-service-private.h
+++ b/c/src/ml-api-service-private.h
@@ -113,12 +113,12 @@ int _ml_service_conf_parse_tensors_info (JsonNode *info_node, ml_tensors_info_h
 /**
  * @brief Internal function to release ml-service pipeline data.
  */
-int ml_service_pipeline_release_internal (ml_service_s *mls);
+int _ml_service_pipeline_release_internal (ml_service_s *mls);
 
 /**
  * @brief Internal function to release ml-service query data.
  */
-int ml_service_query_release_internal (ml_service_s *mls);
+int _ml_service_query_release_internal (ml_service_s *mls);
 
 /**
  * @brief Internal function to get json string member.
diff --git a/c/src/ml-api-service-query-client.c b/c/src/ml-api-service-query-client.c
index 40b80e8..6421cf5 100644
--- a/c/src/ml-api-service-query-client.c
+++ b/c/src/ml-api-service-query-client.c
@@ -58,7 +58,7 @@ _sink_callback_for_query_client (const ml_tensors_data_h data,
  * @brief Internal function to release ml-service query data.
  */
 int
-ml_service_query_release_internal (ml_service_s * mls)
+_ml_service_query_release_internal (ml_service_s * mls)
 {
   _ml_service_query_s *query = (_ml_service_query_s *) mls->priv;
   ml_tensors_data_h data_h;
diff --git a/c/src/ml-api-service-training-offloading.c b/c/src/ml-api-service-training-offloading.c
index 72c0c2e..92eea25 100644
--- a/c/src/ml-api-service-training-offloading.c
+++ b/c/src/ml-api-service-training-offloading.c
@@ -96,7 +96,7 @@ _training_offloading_get_priv (ml_service_s * mls,
   ml_service_offloading_mode_e mode = ML_SERVICE_OFFLOADING_MODE_NONE;
   int ret;
 
-  ret = ml_service_offloading_get_mode (mls, &mode, (void **) training_s);
+  ret = _ml_service_offloading_get_mode (mls, &mode, (void **) training_s);
   if (ret != ML_ERROR_NONE) {
     _ml_error_report_return (ret,
         "Failed to get offloading mode and private data.");
@@ -448,13 +448,13 @@ _training_offloading_create (ml_service_s * mls)
   training_s->type = ML_TRAINING_OFFLOADING_TYPE_UNKNOWN;
   training_s->time_limit = DEFAULT_TIME_LIMIT;
 
-  ml_service_offloading_set_mode (mls,
+  _ml_service_offloading_set_mode (mls,
       ML_SERVICE_OFFLOADING_MODE_TRAINING, training_s);
 
   training_s->transfer_data_table =
       g_hash_table_new_full (g_str_hash, g_str_equal, g_free, g_free);
   if (!training_s->transfer_data_table) {
-    ml_service_training_offloading_destroy (mls);
+    _ml_service_training_offloading_destroy (mls);
     _ml_error_report_return (ML_ERROR_OUT_OF_MEMORY,
         "Failed to allocate memory for the data table. Out of memory?");
   }
@@ -463,7 +463,7 @@ _training_offloading_create (ml_service_s * mls)
       g_hash_table_new_full (g_str_hash, g_str_equal, g_free,
       _training_offloading_node_info_free);
   if (!training_s->node_table) {
-    ml_service_training_offloading_destroy (mls);
+    _ml_service_training_offloading_destroy (mls);
     _ml_error_report_return (ML_ERROR_OUT_OF_MEMORY,
         "Failed to allocate memory for the node table. Out of memory?");
   }
@@ -475,7 +475,7 @@ _training_offloading_create (ml_service_s * mls)
  * @brief Internal function to create ml-service training offloading handle.
  */
 int
-ml_service_training_offloading_create (ml_service_s * mls,
+_ml_service_training_offloading_create (ml_service_s * mls,
     JsonObject * offloading)
 {
   int ret = ML_ERROR_NONE;
@@ -491,7 +491,7 @@ ml_service_training_offloading_create (ml_service_s * mls,
 
   ret = _training_offloading_conf_parse_json (mls, offloading);
   if (ret != ML_ERROR_NONE) {
-    ml_service_training_offloading_destroy (mls);
+    _ml_service_training_offloading_destroy (mls);
     _ml_error_report_return (ret,
         "Failed to parse the configuration file for training offloading.");
   }
@@ -513,7 +513,7 @@ _training_offloading_request (ml_service_s * mls,
   g_return_val_if_fail (data != NULL, ML_ERROR_INVALID_PARAMETER);
   g_return_val_if_fail (len > 0, ML_ERROR_INVALID_PARAMETER);
 
-  ret = ml_service_offloading_request_raw (mls, service_name, data, len);
+  ret = _ml_service_offloading_request_raw (mls, service_name, data, len);
   if (ret != ML_ERROR_NONE) {
     _ml_error_report ("Failed to request service '%s'.)", service_name);
   }
@@ -716,7 +716,8 @@ _training_offloading_replce_pipeline_data_path (ml_service_s * mls)
  * @brief Set path in ml-service training offloading handle.
  */
 int
-ml_service_training_offloading_set_path (ml_service_s * mls, const gchar * path)
+_ml_service_training_offloading_set_path (ml_service_s * mls,
+    const gchar * path)
 {
   int ret = ML_ERROR_NONE;
   ml_training_services_s *training_s = NULL;
@@ -736,7 +737,7 @@ ml_service_training_offloading_set_path (ml_service_s * mls, const gchar * path)
  * @brief Start ml training offloading service.
  */
 int
-ml_service_training_offloading_start (ml_service_s * mls)
+_ml_service_training_offloading_start (ml_service_s * mls)
 {
   int ret = ML_ERROR_NONE;
   g_autoptr (JsonNode) pipeline_node = NULL;
@@ -829,7 +830,7 @@ ml_service_training_offloading_start (ml_service_s * mls)
  * @brief Stop ml training offloading service.
  */
 int
-ml_service_training_offloading_stop (ml_service_s * mls)
+_ml_service_training_offloading_stop (ml_service_s * mls)
 {
   int ret = ML_ERROR_NONE;
   ml_training_services_s *training_s = NULL;
@@ -854,7 +855,7 @@ ml_service_training_offloading_stop (ml_service_s * mls)
  * @brief Save receiver pipeline description.
  */
 int
-ml_service_training_offloading_process_received_data (ml_service_s * mls,
+_ml_service_training_offloading_process_received_data (ml_service_s * mls,
     void *data_h, const gchar * dir_path, const gchar * data, int service_type)
 {
   g_autofree gchar *name = NULL;
@@ -936,7 +937,7 @@ _training_offloading_send_trained_model (ml_service_s * mls)
  * @brief Internal function to destroy ml-service training offloading data.
  */
 int
-ml_service_training_offloading_destroy (ml_service_s * mls)
+_ml_service_training_offloading_destroy (ml_service_s * mls)
 {
   int ret = ML_ERROR_NONE;
   ml_training_services_s *training_s = NULL;
@@ -993,6 +994,6 @@ ml_service_training_offloading_destroy (ml_service_s * mls)
 
   g_free (training_s);
 
-  ml_service_offloading_set_mode (mls, ML_SERVICE_OFFLOADING_MODE_NONE, NULL);
+  _ml_service_offloading_set_mode (mls, ML_SERVICE_OFFLOADING_MODE_NONE, NULL);
   return ret;
 }
diff --git a/c/src/ml-api-service-training-offloading.h b/c/src/ml-api-service-training-offloading.h
index 7df6358..43fef37 100644
--- a/c/src/ml-api-service-training-offloading.h
+++ b/c/src/ml-api-service-training-offloading.h
@@ -24,7 +24,7 @@ extern "C" {
 
 #if defined(ENABLE_TRAINING_OFFLOADING)
 /**
- * @brief Creates a training offloading handle for ml-service training offloading service.
+ * @brief Internal function to creates a training offloading handle for ml-service training offloading service.
  * @param[in] mls ml-service handle created by ml_service_new().
  * @param[in] offloading The Json object containing the service option.
  * @return @c 0 on success. Otherwise a negative error value.
@@ -36,10 +36,10 @@ extern "C" {
  * @retval #ML_ERROR_STREAMS_PIPE Failed to open the model.
  * @retval #ML_ERROR_OUT_OF_MEMORY Failed to allocate required memory.
  */
-int ml_service_training_offloading_create (ml_service_s *mls, JsonObject *offloading);
+int _ml_service_training_offloading_create (ml_service_s *mls, JsonObject *offloading);
 
 /**
- * @brief Set path in ml-service training offloading handle.
+ * @brief Internal function to set path in ml-service training offloading handle.
  * @param[in] mls ml-service handle created by ml_service_new().
  * @param[in] path Readable and writable path set by the app.
  * @return @c 0 on success. Otherwise a negative error value.
@@ -47,10 +47,10 @@ int ml_service_training_offloading_create (ml_service_s *mls, JsonObject *offloa
  * @retval #ML_ERROR_NOT_SUPPORTED Not supported.
  * @retval #ML_ERROR_INVALID_PARAMETER Given parameter is invalid.
  */
-int ml_service_training_offloading_set_path (ml_service_s *mls, const gchar *path);
+int _ml_service_training_offloading_set_path (ml_service_s *mls, const gchar *path);
 
 /**
- * @brief Start ml training offloading service.
+ * @brief Internal function to start ml training offloading service.
  * @param[in] mls ml-service handle created by ml_service_new().
  * @return @c 0 on success. Otherwise a negative error value.
  * @retval #ML_ERROR_NONE Successful.
@@ -61,10 +61,10 @@ int ml_service_training_offloading_set_path (ml_service_s *mls, const gchar *pat
  * @retval #ML_ERROR_TRY_AGAIN The pipeline is not ready yet.
  * @retval #ML_ERROR_PERMISSION_DENIED The application does not have the privilege to access to the storage.
  */
-int ml_service_training_offloading_start (ml_service_s *mls);
+int _ml_service_training_offloading_start (ml_service_s *mls);
 
 /**
- * @brief Stop ml training offloading service.
+ * @brief Internal function to stop ml training offloading service.
  * @param[in] mls ml-service handle created by ml_service_new().
  * @return @c 0 on success. Otherwise a negative error value.
  * @retval #ML_ERROR_NONE Successful.
@@ -75,10 +75,10 @@ int ml_service_training_offloading_start (ml_service_s *mls);
  * @retval #ML_ERROR_TRY_AGAIN The pipeline is not ready yet.
  * @retval #ML_ERROR_PERMISSION_DENIED The application does not have the privilege to access to the storage.
  */
-int ml_service_training_offloading_stop (ml_service_s *mls);
+int _ml_service_training_offloading_stop (ml_service_s *mls);
 
 /**
- * @brief Process received data
+ * @brief Internal function to process received data
  * @param[in] mls ml-service handle created by ml_service_new().
  * @param[in] data_h handle nns_edge_data_h
  * @param[in] data data of received file
@@ -89,7 +89,7 @@ int ml_service_training_offloading_stop (ml_service_s *mls);
  * @retval #ML_ERROR_NOT_SUPPORTED Not supported.
  * @retval #ML_ERROR_INVALID_PARAMETER Fail. The parameter is invalid.
  */
-int ml_service_training_offloading_process_received_data (ml_service_s *mls, void *data_h, const gchar *dir_path, const gchar *data, int service_type);
+int _ml_service_training_offloading_process_received_data (ml_service_s *mls, void *data_h, const gchar *dir_path, const gchar *data, int service_type);
 
 /**
  * @brief Internal function to destroy ml-service training offloading data.
@@ -99,14 +99,14 @@ int ml_service_training_offloading_process_received_data (ml_service_s *mls, voi
  * @retval #ML_ERROR_NOT_SUPPORTED Not supported.
  * @retval #ML_ERROR_INVALID_PARAMETER Given parameter is invalid.
  */
-int ml_service_training_offloading_destroy (ml_service_s *mls);
+int _ml_service_training_offloading_destroy (ml_service_s *mls);
 #else
-#define ml_service_training_offloading_create(...) ML_ERROR_NOT_SUPPORTED
-#define ml_service_training_offloading_set_path(...) ML_ERROR_NOT_SUPPORTED
-#define ml_service_training_offloading_start(...) ML_ERROR_NOT_SUPPORTED
-#define ml_service_training_offloading_stop(...) ML_ERROR_NOT_SUPPORTED
-#define ml_service_training_offloading_process_received_data(...) ML_ERROR_NOT_SUPPORTED
-#define ml_service_training_offloading_destroy(...) ML_ERROR_NOT_SUPPORTED
+#define _ml_service_training_offloading_create(...) ML_ERROR_NOT_SUPPORTED
+#define _ml_service_training_offloading_set_path(...) ML_ERROR_NOT_SUPPORTED
+#define _ml_service_training_offloading_start(...) ML_ERROR_NOT_SUPPORTED
+#define _ml_service_training_offloading_stop(...) ML_ERROR_NOT_SUPPORTED
+#define _ml_service_training_offloading_process_received_data(...) ML_ERROR_NOT_SUPPORTED
+#define _ml_service_training_offloading_destroy(...) ML_ERROR_NOT_SUPPORTED
 #endif /* ENABLE_TRAINING_OFFLOADING */
 #ifdef __cplusplus
 }
diff --git a/c/src/ml-api-service.c b/c/src/ml-api-service.c
index e504e3e..95626b3 100644
--- a/c/src/ml-api-service.c
+++ b/c/src/ml-api-service.c
@@ -66,10 +66,10 @@ _ml_service_set_information_internal (ml_service_s * mls, const char *name,
 
   switch (mls->type) {
     case ML_SERVICE_TYPE_EXTENSION:
-      status = ml_service_extension_set_information (mls, name, value);
+      status = _ml_service_extension_set_information (mls, name, value);
       break;
     case ML_SERVICE_TYPE_OFFLOADING:
-      status = ml_service_offloading_set_information (mls, name, value);
+      status = _ml_service_offloading_set_information (mls, name, value);
       break;
     default:
       break;
@@ -127,16 +127,16 @@ _ml_service_destroy_internal (ml_service_s * mls)
 
   switch (mls->type) {
     case ML_SERVICE_TYPE_SERVER_PIPELINE:
-      status = ml_service_pipeline_release_internal (mls);
+      status = _ml_service_pipeline_release_internal (mls);
       break;
     case ML_SERVICE_TYPE_CLIENT_QUERY:
-      status = ml_service_query_release_internal (mls);
+      status = _ml_service_query_release_internal (mls);
       break;
     case ML_SERVICE_TYPE_OFFLOADING:
-      status = ml_service_offloading_release_internal (mls);
+      status = _ml_service_offloading_release_internal (mls);
       break;
     case ML_SERVICE_TYPE_EXTENSION:
-      status = ml_service_extension_destroy (mls);
+      status = _ml_service_extension_destroy (mls);
       break;
     default:
       _ml_error_report ("Invalid type of ml_service_h.");
@@ -367,10 +367,10 @@ ml_service_new (const char *config, ml_service_h * handle)
 
   switch (service_type) {
     case ML_SERVICE_TYPE_EXTENSION:
-      status = ml_service_extension_create (mls, object);
+      status = _ml_service_extension_create (mls, object);
       break;
     case ML_SERVICE_TYPE_OFFLOADING:
-      status = ml_service_offloading_create (mls, object);
+      status = _ml_service_offloading_create (mls, object);
       break;
     default:
       /* Invalid handle type. */
@@ -462,10 +462,10 @@ ml_service_start (ml_service_h handle)
       break;
     }
     case ML_SERVICE_TYPE_EXTENSION:
-      status = ml_service_extension_start (mls);
+      status = _ml_service_extension_start (mls);
       break;
     case ML_SERVICE_TYPE_OFFLOADING:
-      status = ml_service_offloading_start (mls);
+      status = _ml_service_offloading_start (mls);
       break;
     default:
       /* Invalid handle type. */
@@ -504,10 +504,10 @@ ml_service_stop (ml_service_h handle)
       break;
     }
     case ML_SERVICE_TYPE_EXTENSION:
-      status = ml_service_extension_stop (mls);
+      status = _ml_service_extension_stop (mls);
       break;
     case ML_SERVICE_TYPE_OFFLOADING:
-      status = ml_service_offloading_stop (mls);
+      status = _ml_service_offloading_stop (mls);
       break;
     default:
       /* Invalid handle type. */
@@ -545,7 +545,7 @@ ml_service_get_input_information (ml_service_h handle, const char *name,
 
   switch (mls->type) {
     case ML_SERVICE_TYPE_EXTENSION:
-      status = ml_service_extension_get_input_information (mls, name, info);
+      status = _ml_service_extension_get_input_information (mls, name, info);
       break;
     default:
       /* Invalid handle type. */
@@ -590,7 +590,7 @@ ml_service_get_output_information (ml_service_h handle, const char *name,
 
   switch (mls->type) {
     case ML_SERVICE_TYPE_EXTENSION:
-      status = ml_service_extension_get_output_information (mls, name, info);
+      status = _ml_service_extension_get_output_information (mls, name, info);
       break;
     default:
       /* Invalid handle type. */
@@ -711,10 +711,10 @@ ml_service_request (ml_service_h handle, const char *name,
 
   switch (mls->type) {
     case ML_SERVICE_TYPE_EXTENSION:
-      status = ml_service_extension_request (mls, name, data);
+      status = _ml_service_extension_request (mls, name, data);
       break;
     case ML_SERVICE_TYPE_OFFLOADING:
-      status = ml_service_offloading_request (mls, name, data);
+      status = _ml_service_offloading_request (mls, name, data);
       break;
     default:
       /* Invalid handle type. */
diff --git a/tests/capi/unittest_capi_service_offloading.cc b/tests/capi/unittest_capi_service_offloading.cc
index 47bce9f..56f2d87 100644
--- a/tests/capi/unittest_capi_service_offloading.cc
+++ b/tests/capi/unittest_capi_service_offloading.cc
@@ -254,20 +254,20 @@ TEST_F (MLOffloadingService, registerPipelineURI)
 }
 
 /**
- * @brief Test ml_service_offloading_create with invalid param.
+ * @brief Test _ml_service_offloading_create with invalid param.
  */
 TEST_F (MLOffloadingService, createInvalidParam_n)
 {
   int status;
-  status = ml_service_offloading_create (NULL, NULL);
+  status = _ml_service_offloading_create (NULL, NULL);
   EXPECT_EQ (ML_ERROR_INVALID_PARAMETER, status);
 
-  status = ml_service_offloading_create (server_h, NULL);
+  status = _ml_service_offloading_create (server_h, NULL);
   EXPECT_EQ (ML_ERROR_INVALID_PARAMETER, status);
 }
 
 /**
- * @brief Test ml_service_offloading_request with invalid param.
+ * @brief Test _ml_service_offloading_request with invalid param.
  */
 TEST_F (MLOffloadingService, registerInvalidParam01_n)
 {
@@ -279,13 +279,13 @@ TEST_F (MLOffloadingService, registerInvalidParam01_n)
   status = _create_tensor_data_from_str (pipeline_desc, strlen (pipeline_desc) + 1, &input);
   EXPECT_EQ (ML_ERROR_NONE, status);
 
-  status = ml_service_offloading_request (NULL, "pipeline_registration_raw", input);
+  status = _ml_service_offloading_request (NULL, "pipeline_registration_raw", input);
   EXPECT_EQ (ML_ERROR_INVALID_PARAMETER, status);
 
-  status = ml_service_offloading_request (client_h, NULL, input);
+  status = _ml_service_offloading_request (client_h, NULL, input);
   EXPECT_EQ (ML_ERROR_INVALID_PARAMETER, status);
 
-  status = ml_service_offloading_request (client_h, "pipeline_registration_raw", NULL);
+  status = _ml_service_offloading_request (client_h, "pipeline_registration_raw", NULL);
   EXPECT_EQ (ML_ERROR_INVALID_PARAMETER, status);
 
   status = ml_tensors_data_destroy (input);
@@ -293,7 +293,7 @@ TEST_F (MLOffloadingService, registerInvalidParam01_n)
 }
 
 /**
- * @brief Test ml_service_offloading_request_raw with invalid param.
+ * @brief Test _ml_service_offloading_request_raw with invalid param.
  */
 TEST_F (MLOffloadingService, registerInvalidParam02_n)
 {
@@ -302,16 +302,16 @@ TEST_F (MLOffloadingService, registerInvalidParam02_n)
   g_autofree gchar *data = g_strdup ("fakesrc ! fakesink");
   gsize len = strlen (data);
 
-  status = ml_service_offloading_request_raw (NULL, "req_raw", data, len);
+  status = _ml_service_offloading_request_raw (NULL, "req_raw", data, len);
   EXPECT_EQ (ML_ERROR_INVALID_PARAMETER, status);
 
-  status = ml_service_offloading_request_raw (client_h, NULL, data, len);
+  status = _ml_service_offloading_request_raw (client_h, NULL, data, len);
   EXPECT_EQ (ML_ERROR_INVALID_PARAMETER, status);
 
-  status = ml_service_offloading_request_raw (client_h, "req_raw", NULL, len);
+  status = _ml_service_offloading_request_raw (client_h, "req_raw", NULL, len);
   EXPECT_EQ (ML_ERROR_INVALID_PARAMETER, status);
 
-  status = ml_service_offloading_request_raw (client_h, "req_raw", data, 0);
+  status = _ml_service_offloading_request_raw (client_h, "req_raw", data, 0);
   EXPECT_EQ (ML_ERROR_INVALID_PARAMETER, status);
 }
 
@@ -324,7 +324,7 @@ TEST_F (MLOffloadingService, registerModel)
   ml_tensors_data_h input = NULL;
 
   const gchar *root_path = g_getenv ("MLAPI_SOURCE_ROOT_PATH");
-  /* ml_service_offloading_request () requires absolute path to model, ignore this case. */
+  /* _ml_service_offloading_request () requires absolute path to model, ignore this case. */
   if (root_path == NULL)
     return;
 
@@ -341,7 +341,7 @@ TEST_F (MLOffloadingService, registerModel)
   status = ml_service_set_event_cb (server_h, _ml_service_event_cb, &test_data);
   EXPECT_EQ (status, ML_ERROR_NONE);
 
-  status = ml_service_offloading_set_information (server_h, "path", model_dir);
+  status = _ml_service_offloading_set_information (server_h, "path", model_dir);
   EXPECT_EQ (status, ML_ERROR_NONE);
 
   status = _create_tensor_data_from_str (contents, len, &input);
@@ -368,7 +368,7 @@ TEST_F (MLOffloadingService, registerModelURI)
   int status;
   ml_tensors_data_h input = NULL;
   const gchar *root_path = g_getenv ("MLAPI_SOURCE_ROOT_PATH");
-  /* ml_service_offloading_request () requires absolute path to model, ignore this case. */
+  /* _ml_service_offloading_request () requires absolute path to model, ignore this case. */
   if (root_path == NULL)
     return;
 
@@ -410,7 +410,7 @@ TEST_F (MLOffloadingService, registerModelPath)
   int status;
   ml_tensors_data_h input = NULL;
   const gchar *root_path = g_getenv ("MLAPI_SOURCE_ROOT_PATH");
-  /* ml_service_offloading_request () requires absolute path to model, ignore this case. */
+  /* _ml_service_offloading_request () requires absolute path to model, ignore this case. */
   if (root_path == NULL)
     return;
 
diff --git a/tests/capi/unittest_capi_service_training_offloading.cc b/tests/capi/unittest_capi_service_training_offloading.cc
index ded44a1..db6968c 100644
--- a/tests/capi/unittest_capi_service_training_offloading.cc
+++ b/tests/capi/unittest_capi_service_training_offloading.cc
@@ -238,7 +238,7 @@ TEST_F (MLServiceTrainingOffloading, trainingOffloading_p)
 }
 
 /**
- * @brief Test ml_service_training_offloading_create with invalid param.
+ * @brief Test _ml_service_training_offloading_create with invalid param.
  */
 TEST_F (MLServiceTrainingOffloading, createInvalidParam1_n)
 {
@@ -248,15 +248,15 @@ TEST_F (MLServiceTrainingOffloading, createInvalidParam1_n)
   mls = _ml_service_create_internal (ML_SERVICE_TYPE_OFFLOADING);
   ASSERT_NE (nullptr, mls);
 
-  status = ml_service_training_offloading_create (mls, NULL);
+  status = _ml_service_training_offloading_create (mls, NULL);
   EXPECT_EQ (ML_ERROR_INVALID_PARAMETER, status);
 
-  status = ml_service_offloading_release_internal (mls);
+  status = _ml_service_offloading_release_internal (mls);
   EXPECT_EQ (ML_ERROR_NONE, status);
 }
 
 /**
- * @brief Test ml_service_training_offloading_create with invalid param.
+ * @brief Test _ml_service_training_offloading_create with invalid param.
  */
 TEST_F (MLServiceTrainingOffloading, createInvalidParam2_n)
 {
@@ -280,14 +280,14 @@ TEST_F (MLServiceTrainingOffloading, createInvalidParam2_n)
   ASSERT_NE (nullptr, object);
 
   JsonObject *offloading = json_object_get_object_member (object, "offloading");
-  status = ml_service_training_offloading_create (NULL, offloading);
+  status = _ml_service_training_offloading_create (NULL, offloading);
   EXPECT_EQ (ML_ERROR_INVALID_PARAMETER, status);
 
   EXPECT_EQ (g_remove (receiver_config), 0);
 }
 
 /**
- * @brief Test ml_service_training_offloading_create.
+ * @brief Test _ml_service_training_offloading_create.
  */
 TEST_F (MLServiceTrainingOffloading, create_p)
 {
@@ -314,37 +314,37 @@ TEST_F (MLServiceTrainingOffloading, create_p)
   mls = _ml_service_create_internal (ML_SERVICE_TYPE_OFFLOADING);
   ASSERT_NE (nullptr, mls);
 
-  status = ml_service_offloading_create (mls, object);
+  status = _ml_service_offloading_create (mls, object);
   /* nns-edge error occurs because there is no remote to connect to. */
   EXPECT_EQ (ML_ERROR_NONE, status);
 
   /* An offloading instance must be created first. */
   JsonObject *offloading = json_object_get_object_member (object, "offloading");
-  status = ml_service_training_offloading_create (mls, offloading);
+  status = _ml_service_training_offloading_create (mls, offloading);
   EXPECT_EQ (ML_ERROR_NONE, status);
 
-  status = ml_service_training_offloading_destroy (mls);
+  status = _ml_service_training_offloading_destroy (mls);
   EXPECT_EQ (ML_ERROR_NONE, status);
 
-  status = ml_service_offloading_release_internal (mls);
+  status = _ml_service_offloading_release_internal (mls);
   EXPECT_EQ (ML_ERROR_NONE, status);
 
   EXPECT_EQ (g_remove (receiver_config), 0);
 }
 
 /**
- * @brief Test ml_service_training_offloading_destroy.
+ * @brief Test _ml_service_training_offloading_destroy.
  */
 TEST_F (MLServiceTrainingOffloading, destroyInvalidParam1_n)
 {
   int status;
 
-  status = ml_service_training_offloading_destroy (NULL);
+  status = _ml_service_training_offloading_destroy (NULL);
   EXPECT_EQ (ML_ERROR_INVALID_PARAMETER, status);
 }
 
 /**
- * @brief Test ml_service_training_offloading_set_path.
+ * @brief Test _ml_service_training_offloading_set_path.
  */
 TEST_F (MLServiceTrainingOffloading, setPathInvalidParam1_n)
 {
@@ -366,10 +366,10 @@ TEST_F (MLServiceTrainingOffloading, setPathInvalidParam1_n)
   mls = (ml_service_s *) service_h;
   ASSERT_NE (nullptr, mls);
 
-  status = ml_service_training_offloading_set_path (mls, NULL);
+  status = _ml_service_training_offloading_set_path (mls, NULL);
   EXPECT_EQ (ML_ERROR_INVALID_PARAMETER, status);
 
-  status = ml_service_training_offloading_set_path (mls, file_path);
+  status = _ml_service_training_offloading_set_path (mls, file_path);
   EXPECT_EQ (ML_ERROR_NONE, status);
 
   status = ml_service_destroy (service_h);
@@ -379,7 +379,7 @@ TEST_F (MLServiceTrainingOffloading, setPathInvalidParam1_n)
 }
 
 /**
- * @brief Test ml_service_training_offloading_start.
+ * @brief Test _ml_service_training_offloading_start.
  */
 TEST_F (MLServiceTrainingOffloading, startInvalidParam1_n)
 {
@@ -401,14 +401,14 @@ TEST_F (MLServiceTrainingOffloading, startInvalidParam1_n)
   mls = (ml_service_s *) receiver_h;
   ASSERT_NE (nullptr, mls);
 
-  status = ml_service_training_offloading_set_path (mls, file_path);
+  status = _ml_service_training_offloading_set_path (mls, file_path);
   EXPECT_EQ (ML_ERROR_NONE, status);
 
-  status = ml_service_training_offloading_start (mls);
+  status = _ml_service_training_offloading_start (mls);
   /* Not receiving data needed for training. */
   EXPECT_EQ (ML_ERROR_INVALID_PARAMETER, status);
 
-  status = ml_service_training_offloading_start (NULL);
+  status = _ml_service_training_offloading_start (NULL);
   EXPECT_EQ (ML_ERROR_INVALID_PARAMETER, status);
 
   status = ml_service_destroy (receiver_h);
@@ -418,7 +418,7 @@ TEST_F (MLServiceTrainingOffloading, startInvalidParam1_n)
 }
 
 /**
- * @brief Test ml_service_training_offloading_start.
+ * @brief Test _ml_service_training_offloading_start.
  */
 TEST_F (MLServiceTrainingOffloading, stopInvalidParam1_n)
 {
@@ -440,11 +440,11 @@ TEST_F (MLServiceTrainingOffloading, stopInvalidParam1_n)
   mls = (ml_service_s *) receiver_h;
   ASSERT_NE (nullptr, mls);
 
-  status = ml_service_training_offloading_set_path (mls, file_path);
+  status = _ml_service_training_offloading_set_path (mls, file_path);
   EXPECT_EQ (ML_ERROR_NONE, status);
 
   /* not start */
-  status = ml_service_training_offloading_stop (mls);
+  status = _ml_service_training_offloading_stop (mls);
   EXPECT_EQ (ML_ERROR_STREAMS_PIPE, status);
 
   status = ml_service_destroy (receiver_h);