diff --git a/core/iwasm/libraries/wasi-nn/include/wasi_nn.h b/core/iwasm/libraries/wasi-nn/include/wasi_nn.h index c8d1217a7..4a238e65e 100644 --- a/core/iwasm/libraries/wasi-nn/include/wasi_nn.h +++ b/core/iwasm/libraries/wasi-nn/include/wasi_nn.h @@ -15,6 +15,9 @@ #include #include "wasi_nn_types.h" +#define WASI_NN_IMPORT(name) \ + __attribute__((import_module("wasi_nn"), import_name(name))) + /** * @brief Load an opaque sequence of bytes to use for inference. * @@ -26,12 +29,11 @@ */ wasi_nn_error load(graph_builder_array *builder, graph_encoding encoding, - execution_target target, graph *g) - __attribute__((import_module("wasi_nn"))); + execution_target target, graph *g) WASI_NN_IMPORT("load"); wasi_nn_error load_by_name(const char *name, uint32_t name_len, graph *g) - __attribute__((import_module("wasi_nn"))); + WASI_NN_IMPORT("load_by_name"); /** * INFERENCE @@ -47,7 +49,7 @@ load_by_name(const char *name, uint32_t name_len, graph *g) */ wasi_nn_error init_execution_context(graph g, graph_execution_context *ctx) - __attribute__((import_module("wasi_nn"))); + WASI_NN_IMPORT("init_execution_context"); /** * @brief Define the inputs to use for inference. @@ -59,7 +61,7 @@ init_execution_context(graph g, graph_execution_context *ctx) */ wasi_nn_error set_input(graph_execution_context ctx, uint32_t index, tensor *tensor) - __attribute__((import_module("wasi_nn"))); + WASI_NN_IMPORT("set_input"); /** * @brief Compute the inference on the given inputs. @@ -68,7 +70,7 @@ set_input(graph_execution_context ctx, uint32_t index, tensor *tensor) * @return wasi_nn_error Execution status. */ wasi_nn_error -compute(graph_execution_context ctx) __attribute__((import_module("wasi_nn"))); +compute(graph_execution_context ctx) WASI_NN_IMPORT("compute"); /** * @brief Extract the outputs after inference. @@ -85,6 +87,6 @@ compute(graph_execution_context ctx) __attribute__((import_module("wasi_nn"))); wasi_nn_error get_output(graph_execution_context ctx, uint32_t index, tensor_data output_tensor, uint32_t *output_tensor_size) - __attribute__((import_module("wasi_nn"))); + WASI_NN_IMPORT("get_output"); #endif