fix: clang format convention

core/iwasm/common/wasm_native.c

@@ -419,8 +419,9 @@ wasm_native_init()
 
 #if WASM_ENABLE_WASI_NN != 0
     n_native_symbols = get_wasi_nn_export_apis(&native_symbols);
-    if (!wasm_native_register_natives("env", native_symbols, // TODO: check env or wasi_nn tag
-                                      n_native_symbols))
+    if (!wasm_native_register_natives(
+            "env", native_symbols, // TODO: check env or wasi_nn tag
+            n_native_symbols))
         return false;
 #endif
 

core/iwasm/libraries/wasi-nn/lib_run_inference.cpp

@@ -3,39 +3,43 @@
 #include <tensorflow/lite/interpreter.h>
 #include <tensorflow/lite/kernels/register.h>
 #include <tensorflow/lite/model.h>
-#include <tensorflow/lite/optional_debug_tools.h> 
-#include <tensorflow/lite/error_reporter.h> 
-
-enum Idx  {GRAPH=0, GRAPH_SIZE=1 };
+#include <tensorflow/lite/optional_debug_tools.h>
+#include <tensorflow/lite/error_reporter.h>
 
+enum Idx { GRAPH = 0, GRAPH_SIZE = 1 };
 
 std::unique_ptr<tflite::Interpreter> interpreter = NULL;
-std::unique_ptr<tflite::FlatBufferModel> model =  NULL;
+std::unique_ptr<tflite::FlatBufferModel> model = NULL;
 
-uint32_t _load(graph_builder_array builder, graph_encoding encoding) {
+uint32_t
+_load(graph_builder_array builder, graph_encoding encoding)
+{
 
-    if(encoding!=tensorflow){return invalid_argument;}
-
-	uint32_t *size = (uint32_t*) builder[Idx::GRAPH_SIZE];
-
-    tflite::ErrorReporter  *error_reporter;
-         
-    model = tflite::FlatBufferModel::BuildFromBuffer((const char *)builder[Idx::GRAPH], *size, error_reporter);
-
-    if(model== nullptr){
-        printf("failure: null model \n"); 
+    if (encoding != tensorflow) {
         return invalid_argument;
-        }
+    }
 
-	// Build the interpreter with the InterpreterBuilder.
+    uint32_t *size = (uint32_t *)builder[Idx::GRAPH_SIZE];
+
+    tflite::ErrorReporter *error_reporter;
+
+    model = tflite::FlatBufferModel::BuildFromBuffer(
+        (const char *)builder[Idx::GRAPH], *size, error_reporter);
+
+    if (model == nullptr) {
+        printf("failure: null model \n");
+        return invalid_argument;
+    }
+
+    // Build the interpreter with the InterpreterBuilder.
     tflite::ops::builtin::BuiltinOpResolver resolver;
-	tflite::InterpreterBuilder tflite_builder(*model, resolver);
+    tflite::InterpreterBuilder tflite_builder(*model, resolver);
     tflite_builder(&interpreter);
 
-    if(interpreter==nullptr){
+    if (interpreter == nullptr) {
         printf("failure: null interpreter \n");
         return invalid_argument;
-     }
+    }
 
     return success;
 }

core/iwasm/libraries/wasi-nn/lib_run_inference.hpp

@@ -9,7 +9,8 @@
 extern "C" {
 #endif
 
-uint32_t _load(graph_builder_array builder,  graph_encoding encoding);
+uint32_t
+_load(graph_builder_array builder, graph_encoding encoding);
 
 #ifdef __cplusplus
 }

core/iwasm/libraries/wasi-nn/wasi_nn.c

@@ -11,21 +11,26 @@
 
 /**
  * @brief loader of tensorflow
- * 
- * @param builder array of 2 pointers: first its the buffer, second its the size 
+ *
+ * @param builder array of 2 pointers: first its the buffer, second its the size
  */
-void load_tensorflow(wasm_module_inst_t instance, graph_builder_array builder) {
+void
+load_tensorflow(wasm_module_inst_t instance, graph_builder_array builder)
+{
     printf("Loading tensorflow...\n");
     for (int i = 0; i < 2; ++i)
-        builder[i] = (graph_builder) wasm_runtime_addr_app_to_native(instance, builder[i]);
+        builder[i] = (graph_builder)wasm_runtime_addr_app_to_native(instance,
+                                                                    builder[i]);
 }
 
-uint32_t wasi_nn_load(wasm_exec_env_t exec_env, uint32_t builder, uint32_t encoding)
+uint32_t
+wasi_nn_load(wasm_exec_env_t exec_env, uint32_t builder, uint32_t encoding)
 {
     printf("Inside wasi_nn_load!\n\n");
     wasm_module_inst_t instance = wasm_runtime_get_module_inst(exec_env);
-    graph_builder_array buf = (graph_builder_array) wasm_runtime_addr_app_to_native(instance, builder);
-    switch ((graph_encoding) encoding) {
+    graph_builder_array buf =
+        (graph_builder_array)wasm_runtime_addr_app_to_native(instance, builder);
+    switch ((graph_encoding)encoding) {
         case openvino:
             return invalid_argument;
         case tensorflow:
@@ -34,28 +39,26 @@ uint32_t wasi_nn_load(wasm_exec_env_t exec_env, uint32_t builder, uint32_t encod
         case onnx:
             return invalid_argument;
     }
-    return _load(buf, (graph_encoding) encoding);
+    return _load(buf, (graph_encoding)encoding);
 }
 
-void wasi_nn_init_execution_context()
-{
+void
+wasi_nn_init_execution_context()
+{}
 
-}
-
-void wasi_nn_set_input()
+void
+wasi_nn_set_input()
 {
     // interpreter->AllocateTensors();
 }
 
-void wasi_nn_compute()
-{
+void
+wasi_nn_compute()
+{}
 
-}
-
-void wasi_nn_get_output()
-{
-
-}
+void
+wasi_nn_get_output()
+{}
 
 /* clang-format off */
 #define REG_NATIVE_FUNC(func_name, signature) \

core/iwasm/libraries/wasi-nn/wasi_nn.h

@@ -10,23 +10,13 @@
 
 typedef uint32_t buffer_size;
 
-typedef enum {
-    success = 0,
-    invalid_argument,
-    missing_memory,
-    busy
-} nn_erno; 
+typedef enum { success = 0, invalid_argument, missing_memory, busy } nn_erno;
 
-typedef uint32_t *  tensor_dimensions;
+typedef uint32_t *tensor_dimensions;
 
-typedef enum {
-    f16 = 0,
-    f32,
-    u8,
-    i32
-} tensor_type;
+typedef enum { f16 = 0, f32, u8, i32 } tensor_type;
 
-typedef uint8_t* tensor_data;
+typedef uint8_t *tensor_data;
 
 typedef struct {
     tensor_dimensions dimensions;
@@ -34,30 +24,27 @@ typedef struct {
     tensor_data data;
 } tensor;
 
-typedef uint8_t * graph_builder;
+typedef uint8_t *graph_builder;
 
-typedef graph_builder * graph_builder_array;
+typedef graph_builder *graph_builder_array;
 
-typedef enum {
-    openvino = 0,
-    tensorflow,
-    onnx
-} graph_encoding;
+typedef enum { openvino = 0, tensorflow, onnx } graph_encoding;
 
-typedef enum {
-    cpu = 0,
-    gpu,
-    tpu
-} execution_target;
+typedef enum { cpu = 0, gpu, tpu } execution_target;
 
-uint32_t load(graph_builder_array builder, graph_encoding encoding);
+uint32_t
+load(graph_builder_array builder, graph_encoding encoding);
 
-void init_execution_context();
+void
+init_execution_context();
 
-void set_input();
+void
+set_input();
 
-void compute();
+void
+compute();
 
-void get_output();
+void
+get_output();
 
 #endif

samples/basic/wasm-apps/testapp.c

@@ -25,7 +25,7 @@ generate_float(int iteration, double seed1, float seed2)
     char *buf = strdup("test_message");
     uint32_t *size = malloc(sizeof(uint32_t));
     *size = 4096;
-    graph_builder_array arr[] = {(graph_builder)buf, (graph_builder)size};
+    graph_builder_array arr[] = { (graph_builder)buf, (graph_builder)size };
 
     load(arr, 1);
     float ret;