CI: code style update

code style update

Signed-off-by: Siyuan Cheng <siyuanc@synopsys.com>

Author: Siyuan Cheng

samples/modules/embarc_mli/auxiliary/examples_aux.c

@@ -10,14 +10,15 @@
 /**
  * @file Common example runner functions
  *
- * @brief Set of functions(runners) to organize MLI Library examples in a common way
+ * @brief Set of functions(runners) to organize MLI Library examples in a common
+ * way
  */
 
-#include <stdint.h>
-
 #include "mli_api.h"
-#include "tests_aux.h"
 #include "mli_config.h"
+#include "tests_aux.h"
+
+#include <stdint.h>
 
 #ifdef __cplusplus
 extern "C" {
@@ -42,39 +43,48 @@ typedef void (*model_inference_t)(const char *);
  * @detail Function calls sequentially *preprocess* function for
  *         input data and *inference* function passing
  *         *inf_param* to it.
- *         After inference it calls measure_ref_to_pred function for ref_out and model_output.
+ *         After inference it calls measure_ref_to_pred function for ref_out and
+ * model_output.
  *
- * @param[in] data_in - Array with input data. Must be applicable for *preprocess* function
- * @param[in] ref_out - Array with model reference output for provided input (data_in).
- *                      Against this data error measurements will be calculated
- * @param[in/out] model_input - Pointer to MLI tensor structure for *inference* input.
- *          Must be applicable for *preprocess* function and used by *inference* function
- * @param[in/out] model_output - Pointer to MLI tensor structure for *inference* output.
- *                               Must be used by *inference* function
- * @param[in] preprocess - data preprocessor function. will be called before inference function
+ * @param[in] data_in - Array with input data. Must be applicable for
+ * *preprocess* function
+ * @param[in] ref_out - Array with model reference output for provided input
+ * (data_in). Against this data error measurements will be calculated
+ * @param[in/out] model_input - Pointer to MLI tensor structure for *inference*
+ * input. Must be applicable for *preprocess* function and used by *inference*
+ * function
+ * @param[in/out] model_output - Pointer to MLI tensor structure for *inference*
+ * output. Must be used by *inference* function
+ * @param[in] preprocess - data preprocessor function. will be called before
+ * inference function
  * @param[in] inference - model inference function. Will be called once
  * @param[in] inf_param - Parameter for passing to the inference function
  *
  * @return Operation status code (tests_aux.h)
  */
 enum test_status model_run_single_in(const void *data_in, const float *ref_out,
-				mli_tensor *model_input,
-				mli_tensor *model_output, preproc_func_t preprocess,
-				model_inference_t inference, const char *inf_param);
+				     mli_tensor *model_input,
+				     mli_tensor *model_output,
+				     preproc_func_t preprocess,
+				     model_inference_t inference,
+				     const char *inf_param);
 
 /** @brief Run preprocessor and inference function in cycle
  *         for all input dataset with accuracy calculation
  *
- * @detail Function opens input_idx_path dataset and for each entiti calls sequentially *preprocess*
- *         and *inference* function passing *inf_param* to it. It also calculates accuracy according
- *         to labels_idx_path file and print intermediate result after passing each 10% of all data
+ * @detail Function opens input_idx_path dataset and for each entiti calls
+ * sequentially *preprocess* and *inference* function passing *inf_param* to it.
+ * It also calculates accuracy according to labels_idx_path file and print
+ * intermediate result after passing each 10% of all data
  *
  * @param[in] input_idx_path - path to IDX dataset file for the model
- * @param[in] labels_idx_path - path to IDX reference labels of *input_idx_path* dataset
- * @param[in/out] model_input - Pointer to MLI tensor structure for *inference* input.
- *          Must be applicable for *preprocess* function and used by *inference* function
- * @param[in/out] model_output - Pointer to MLI tensor structure for *inference* output.
- *                               Must be used by *inference* function
+ * @param[in] labels_idx_path - path to IDX reference labels of *input_idx_path*
+ * dataset
+ * @param[in/out] model_input - Pointer to MLI tensor structure for *inference*
+ * input. Must be applicable for *preprocess* function and used by *inference*
+ * function
+ * @param[in/out] model_output - Pointer to MLI tensor structure for *inference*
+ * output. Must be used by *inference* function
  * @param[in] preprocess - data preprocessor function.
  *                         will be called in cycle for each input from dataset.
  * @param[in] inference - model inference function.
@@ -83,25 +93,27 @@ enum test_status model_run_single_in(const void *data_in, const float *ref_out,
  *
  * @return Operation status code (tests_aux.h)
  */
-enum test_status model_run_acc_on_idx_base(const char *input_idx_path, const char *labels_idx_path,
-				      mli_tensor *model_input, mli_tensor *model_output,
-				      preproc_func_t preprocess, model_inference_t inference,
-				      const char *inf_param);
+enum test_status
+model_run_acc_on_idx_base(const char *input_idx_path,
+			  const char *labels_idx_path, mli_tensor *model_input,
+			  mli_tensor *model_output, preproc_func_t preprocess,
+			  model_inference_t inference, const char *inf_param);
 
-/** @brief Run preprocessor and inference function in cycle for all input dataset.
- *         Outputs result to the IDX file
+/** @brief Run preprocessor and inference function in cycle for all input
+ * dataset. Outputs result to the IDX file
  *
- * @detail Function opens input_idx_path dataset and calls sequentially *preprocess*
- *         and *inference* function for each entiti passing *inf_param* to it.
- *         It fills output_idx_path by model_output values of each inference.
+ * @detail Function opens input_idx_path dataset and calls sequentially
+ * *preprocess* and *inference* function for each entiti passing *inf_param* to
+ * it. It fills output_idx_path by model_output values of each inference.
  *
  * @param[in] input_idx_path - path to IDX dataset file for the model
- * @param[in] output_idx_path - path to output IDX file for storing results of each inference
- * @param[in/out] model_input - Pointer to MLI tensor structure for *inference* input.
- *                              Must be applicable for *preprocess* function
- *                              and used by *inference* function
- * @param[in/out] model_output - Pointer to MLI tensor structure for *inference* output.
- *                               Must be used by *inference* function
+ * @param[in] output_idx_path - path to output IDX file for storing results of
+ * each inference
+ * @param[in/out] model_input - Pointer to MLI tensor structure for *inference*
+ * input. Must be applicable for *preprocess* function and used by *inference*
+ * function
+ * @param[in/out] model_output - Pointer to MLI tensor structure for *inference*
+ * output. Must be used by *inference* function
  * @param[in] preprocess - data preprocessor function.
  *                         will be called in cycle for each input from dataset.
  * @param[in] inference - model inference function.
@@ -111,10 +123,12 @@ enum test_status model_run_acc_on_idx_base(const char *input_idx_path, const cha
  * @return Operation status code (tests_aux.h)
  */
 enum test_status model_run_idx_base_to_idx_out(const char *input_idx_path,
-						const char *output_idx_path,
-					  mli_tensor *model_input, mli_tensor *model_output,
-					  preproc_func_t preprocess, model_inference_t inference,
-					  const char *inf_param);
+					       const char *output_idx_path,
+					       mli_tensor *model_input,
+					       mli_tensor *model_output,
+					       preproc_func_t preprocess,
+					       model_inference_t inference,
+					       const char *inf_param);
 
 #if (PLATFORM == V2DSP_XY)
 #define FAST_TYPE(t) __xy t