feat: "formatted files"

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

@@ -44,14 +44,20 @@ _load(graph_builder_array builder, graph_encoding encoding)
     return success;
 }
 
-
-uint32_t set_input()
+uint32_t
+_set_input(tensor input_tensor)
 {
+    auto *input = interpreter->typed_input_tensor<float>(0);
 
-    for (int i=0 ;  i<input_tensor.size()  ;  i++  )
-  	{
-    	input[i]=  input_tensor[i];
+    for (int i = 0; i < input_tensor.dimensions[0]; i++) {
+        input[i] = (float)input_tensor.data[i];
     }
 
-
+    if (input == nullptr) {
+        return invalid_argument;
+    }
+
+    else {
+        return success;
+    }
 }

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

@@ -12,6 +12,9 @@ extern "C" {
 uint32_t
 _load(graph_builder_array builder, graph_encoding encoding);
 
+uint32_t
+_set_input(tensor input_tensor);
+
 #ifdef __cplusplus
 }
 #endif

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

@@ -46,16 +46,35 @@ void
 wasi_nn_init_execution_context()
 {}
 
-void wasi_nn_set_input(wasm_exec_env_t exec_env ,graph_execution_context context, uint32_t index, tensor tensor)
+uint32_t
+wasi_nn_set_input(
+    wasm_exec_env_t exec_env, graph_execution_context context, uint32_t index,
+    uint32_t *input_tensor_size, uint32_t input_tensor_type,
+    uint32_t *input_tensor) // Replaced struct by values inside of
+                            // it as WASMR does not support structs
 {
     printf("Inside wasi_nn_set_input!\n\n");
 
-    // interpreter->AllocateTensors();
+    wasm_module_inst_t instance = wasm_runtime_get_module_inst(exec_env);
+    tensor_data data =
+        (tensor_data)wasm_runtime_addr_app_to_native(instance, input_tensor);
+    tensor_dimensions dimensions =
+        (tensor_dimensions)wasm_runtime_addr_app_to_native(instance,
+                                                           input_tensor_size);
+
+    tensor_type type = (tensor_type)wasm_runtime_addr_app_to_native(
+        instance, input_tensor_type);
+
+    tensor tensor_struct = { .dimensions = dimensions,
+                             .type = type,
+                             .data = data };
+
+    return _set_input(tensor_struct);
 }
 
-
-void wasi_nn_compute()
-{
+void
+wasi_nn_compute()
+{}
 
 void
 wasi_nn_get_output()
@@ -68,6 +87,7 @@ wasi_nn_get_output()
 
 static NativeSymbol native_symbols_wasi_nn[] = {
     REG_NATIVE_FUNC(load, "(ii)i"),
+    REG_NATIVE_FUNC(set_input, "(ii*i*)i"),
 };
 
 uint32_t

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

@@ -12,12 +12,7 @@ typedef uint32_t buffer_size;
 
 typedef uint32_t graph_execution_context;
 
-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;
 
@@ -45,8 +40,10 @@ load(graph_builder_array builder, graph_encoding encoding);
 void
 init_execution_context();
 
-void
-set_input();
+uint32_t
+set_input(graph_execution_context context, uint32_t index,
+          uint32_t *input_tensor_size, uint32_t input_tensor_type,
+          uint32_t *input_tensor);
 
 void
 compute();

samples/basic/wasm-apps/testapp.c

@@ -30,6 +30,8 @@ generate_float(int iteration, double seed1, float seed2)
     load(arr, 1);
     float ret;
 
+    set_input(0, 0, size, 3, arr);
+
     printf("calling into WASM function: %s\n", __FUNCTION__);
 
     for (int i = 0; i < iteration; i++) {