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wasi-nn: Apply new architecture (#3692)

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ps.
https://github.com/bytecodealliance/wasm-micro-runtime/issues/3677
This commit is contained in:
liang.he 2024-08-13 09:14:52 +08:00 committed by GitHub
parent 4e31bd63b7
commit 140ff25d46
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
14 changed files with 482 additions and 315 deletions
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7
build-scripts/config_common.cmake
View File

@ -438,12 +438,13 @@ if (WAMR_BUILD_WASI_NN EQUAL 1)
if (NOT WAMR_BUILD_WASI_NN_TFLITE EQUAL 1 AND NOT WAMR_BUILD_WASI_NN_OPENVINO EQUAL 1)
message (FATAL_ERROR " Need to select a backend for WASI-NN")
endif ()
if (WAMR_BUILD_WASI_NN_TFLITE EQUAL 1)
message (" WASI-NN backend tflite enabled")
message (" WASI-NN: backend tflite enabled")
add_definitions (-DWASM_ENABLE_WASI_NN_TFLITE)
endif ()
if (WAMR_BUILD_WASI_NN_OPENVINO EQUAL 1)
message (" WASI-NN backend openvino enabled")
message (" WASI-NN: backend openvino enabled")
add_definitions (-DWASM_ENABLE_WASI_NN_OPENVINO)
endif ()
# Variant devices
@ -459,7 +460,7 @@ if (WAMR_BUILD_WASI_NN EQUAL 1)
add_definitions (-DWASM_WASI_NN_EXTERNAL_DELEGATE_PATH="${WAMR_BUILD_WASI_NN_EXTERNAL_DELEGATE_PATH}")
endif ()
if (WAMR_BUILD_WASI_EPHEMERAL_NN EQUAL 1)
message (" WASI-NN: WASI-Ephemeral-NN enabled")
message (" WASI-NN: use 'wasi_ephemeral_nn' instead of 'wasi-nn'")
add_definitions (-DWASM_ENABLE_WASI_EPHEMERAL_NN=1)
endif()
endif ()

57
core/iwasm/common/wasm_native.c
View File

@ -15,6 +15,9 @@
#if WASM_ENABLE_THREAD_MGR != 0
#include "../libraries/thread-mgr/thread_manager.h"
#endif
#if WASM_ENABLE_WASI_NN != 0 || WASM_ENABLE_WASI_EPHEMERAL_NN != 0
#include "wasi_nn_host.h"
#endif
static NativeSymbolsList g_native_symbols_list = NULL;
@ -472,11 +475,12 @@ quick_aot_entry_init();
bool
wasm_native_init()
{
#if WASM_ENABLE_SPEC_TEST != 0 || WASM_ENABLE_LIBC_BUILTIN != 0 \
|| WASM_ENABLE_BASE_LIB != 0 || WASM_ENABLE_LIBC_EMCC != 0 \
|| WASM_ENABLE_LIB_RATS != 0 || WASM_ENABLE_WASI_NN != 0 \
|| WASM_ENABLE_APP_FRAMEWORK != 0 || WASM_ENABLE_LIBC_WASI != 0 \
|| WASM_ENABLE_LIB_PTHREAD != 0 || WASM_ENABLE_LIB_WASI_THREADS != 0
#if WASM_ENABLE_SPEC_TEST != 0 || WASM_ENABLE_LIBC_BUILTIN != 0 \
|| WASM_ENABLE_BASE_LIB != 0 || WASM_ENABLE_LIBC_EMCC != 0 \
|| WASM_ENABLE_LIB_RATS != 0 || WASM_ENABLE_WASI_NN != 0 \
|| WASM_ENABLE_APP_FRAMEWORK != 0 || WASM_ENABLE_LIBC_WASI != 0 \
|| WASM_ENABLE_LIB_PTHREAD != 0 || WASM_ENABLE_LIB_WASI_THREADS != 0 \
|| WASM_ENABLE_WASI_NN != 0 || WASM_ENABLE_WASI_EPHEMERAL_NN != 0
NativeSymbol *native_symbols;
uint32 n_native_symbols;
#endif
@ -562,13 +566,30 @@ wasm_native_init()
goto fail;
#endif /* WASM_ENABLE_LIB_RATS */
#if WASM_ENABLE_WASI_NN != 0 || WASM_ENABLE_WASI_EPHEMERAL_NN != 0
if (!wasi_nn_initialize())
goto fail;
n_native_symbols = get_wasi_nn_export_apis(&native_symbols);
if (n_native_symbols > 0
&& !wasm_native_register_natives(
#if WASM_ENABLE_WASI_EPHEMERAL_NN != 0
"wasi_ephemeral_nn",
#else
"wasi_nn",
#endif /* WASM_ENABLE_WASI_EPHEMERAL_NN != 0 */
native_symbols, n_native_symbols))
goto fail;
#endif /* WASM_ENABLE_WASI_NN != 0 || WASM_ENABLE_WASI_EPHEMERAL_NN != 0 */
#if WASM_ENABLE_QUICK_AOT_ENTRY != 0
if (!quick_aot_entry_init()) {
#if WASM_ENABLE_SPEC_TEST != 0 || WASM_ENABLE_LIBC_BUILTIN != 0 \
|| WASM_ENABLE_BASE_LIB != 0 || WASM_ENABLE_LIBC_EMCC != 0 \
|| WASM_ENABLE_LIB_RATS != 0 || WASM_ENABLE_WASI_NN != 0 \
|| WASM_ENABLE_APP_FRAMEWORK != 0 || WASM_ENABLE_LIBC_WASI != 0 \
|| WASM_ENABLE_LIB_PTHREAD != 0 || WASM_ENABLE_LIB_WASI_THREADS != 0
#if WASM_ENABLE_SPEC_TEST != 0 || WASM_ENABLE_LIBC_BUILTIN != 0 \
|| WASM_ENABLE_BASE_LIB != 0 || WASM_ENABLE_LIBC_EMCC != 0 \
|| WASM_ENABLE_LIB_RATS != 0 || WASM_ENABLE_WASI_NN != 0 \
|| WASM_ENABLE_APP_FRAMEWORK != 0 || WASM_ENABLE_LIBC_WASI != 0 \
|| WASM_ENABLE_LIB_PTHREAD != 0 || WASM_ENABLE_LIB_WASI_THREADS != 0 \
|| WASM_ENABLE_WASI_NN != 0 || WASM_ENABLE_WASI_EPHEMERAL_NN != 0
goto fail;
#else
return false;
@ -577,11 +598,12 @@ wasm_native_init()
#endif
return true;
#if WASM_ENABLE_SPEC_TEST != 0 || WASM_ENABLE_LIBC_BUILTIN != 0 \
|| WASM_ENABLE_BASE_LIB != 0 || WASM_ENABLE_LIBC_EMCC != 0 \
|| WASM_ENABLE_LIB_RATS != 0 || WASM_ENABLE_WASI_NN != 0 \
|| WASM_ENABLE_APP_FRAMEWORK != 0 || WASM_ENABLE_LIBC_WASI != 0 \
|| WASM_ENABLE_LIB_PTHREAD != 0 || WASM_ENABLE_LIB_WASI_THREADS != 0
#if WASM_ENABLE_SPEC_TEST != 0 || WASM_ENABLE_LIBC_BUILTIN != 0 \
|| WASM_ENABLE_BASE_LIB != 0 || WASM_ENABLE_LIBC_EMCC != 0 \
|| WASM_ENABLE_LIB_RATS != 0 || WASM_ENABLE_WASI_NN != 0 \
|| WASM_ENABLE_APP_FRAMEWORK != 0 || WASM_ENABLE_LIBC_WASI != 0 \
|| WASM_ENABLE_LIB_PTHREAD != 0 || WASM_ENABLE_LIB_WASI_THREADS != 0 \
|| WASM_ENABLE_WASI_NN != 0 || WASM_ENABLE_WASI_EPHEMERAL_NN != 0
fail:
wasm_native_destroy();
return false;
@ -599,6 +621,7 @@ wasm_native_destroy()
g_wasi_context_key = NULL;
}
#endif
#if WASM_ENABLE_LIB_PTHREAD != 0
lib_pthread_destroy();
#endif
@ -607,6 +630,10 @@ wasm_native_destroy()
lib_wasi_threads_destroy();
#endif
#if WASM_ENABLE_WASI_NN != 0 || WASM_ENABLE_WASI_EPHEMERAL_NN != 0
wasi_nn_destroy();
#endif
node = g_native_symbols_list;
while (node) {
node_next = node->next;

27
core/iwasm/libraries/wasi-nn/cmake/Findtensorflow_lite.cmake
View File

@ -1,12 +1,13 @@
# Copyright (C) 2019 Intel Corporation. All rights reserved.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
find_library(TENSORFLOW_LITE
NAMES tensorflow-lite
find_library(TENSORFLOW_LITE
NAMES tensorflow-lite
HINTS ${CMAKE_CURRENT_BINARY_DIR}/tensorflow-lite
NO_DEFAULT_PATHS
)
if(NOT EXISTS ${TENSORFLOW_LITE})
if(NOT TENSORFLOW_LITE)
if(NOT EXISTS "${WAMR_ROOT_DIR}/core/deps/tensorflow-src")
execute_process(
COMMAND "${WAMR_ROOT_DIR}/core/deps/install_tensorflow.sh"
@ -32,11 +33,15 @@ if(NOT EXISTS ${TENSORFLOW_LITE})
"${TENSORFLOW_SOURCE_DIR}/tensorflow/lite"
"${CMAKE_CURRENT_BINARY_DIR}/tensorflow-lite"
EXCLUDE_FROM_ALL
)
set(TENSORFLOW_LITE_INCLUDE_DIR "${TENSORFLOW_SOURCE_DIR}")
set(FLATBUFFER_INCLUDE_DIR "${CMAKE_CURRENT_BINARY_DIR}/flatbuffers/include")
include_directories(${TENSORFLOW_LITE_INCLUDE_DIR})
include_directories(${FLATBUFFER_INCLUDE_DIR})
)
else ()
message(STATUS "TensorFlow Lite library found: ${TENSORFLOW_LITE}")
set(TENSORFLOW_SOURCE_DIR "${WAMR_ROOT_DIR}/core/deps/tensorflow-src")
endif()
set(TENSORFLOW_LITE_INCLUDE_DIR "${TENSORFLOW_SOURCE_DIR}/tensorflow/lite")
set(FLATBUFFER_INCLUDE_DIR "${CMAKE_CURRENT_BINARY_DIR}/flatbuffers/include")
include_directories(${TENSORFLOW_SOURCE_DIR})
include_directories(${FLATBUFFER_INCLUDE_DIR})
link_directories(${CMAKE_CURRENT_BINARY_DIR}/tensorflow-lite)

45
core/iwasm/libraries/wasi-nn/cmake/wasi_nn.cmake
View File

@ -27,61 +27,48 @@ endif()
#
# wasi-nn general
set(WASI_NN_ROOT ${CMAKE_CURRENT_LIST_DIR}/..)
add_library(
wasi-nn-general
SHARED
${WASI_NN_ROOT}/src/wasi_nn.c
${WASI_NN_ROOT}/src/utils/wasi_nn_app_native.c
set(WASI_NN_SOURCES
${WASI_NN_ROOT}/src/wasi_nn.c
${WASI_NN_ROOT}/src/utils/wasi_nn_app_native.c
)
target_include_directories(
wasi-nn-general
PUBLIC
${WASI_NN_ROOT}/include
${WASI_NN_ROOT}/src
${WASI_NN_ROOT}/src/utils
)
target_link_libraries(
wasi-nn-general
PUBLIC
libiwasm
)
target_compile_definitions(
wasi-nn-general
PUBLIC
$<$<CONFIG:Debug>:NN_LOG_LEVEL=0>
$<$<CONFIG:Release>:NN_LOG_LEVEL=2>
include_directories(${WASI_NN_ROOT}/include)
add_compile_definitions(
$<$<CONFIG:Debug>:NN_LOG_LEVEL=0>
$<$<CONFIG:Release>:NN_LOG_LEVEL=2>
)
#
# wasi-nn backends
#
# - tflite
if(WAMR_BUILD_WASI_NN_TFLITE EQUAL 1)
add_library(
wasi-nn-tflite
wasi_nn_tflite
SHARED
${WASI_NN_ROOT}/src/wasi_nn_tensorflowlite.cpp
)
target_link_libraries(
wasi-nn-tflite
wasi_nn_tflite
PUBLIC
libiwasm
tensorflow-lite
wasi-nn-general
)
endif()
# - openvino
if(WAMR_BUILD_WASI_NN_OPENVINO EQUAL 1)
add_library(
wasi-nn-openvino
wasi_nn_openvino
SHARED
${WASI_NN_ROOT}/src/wasi_nn_openvino.c
)
target_link_libraries(
wasi-nn-openvino
wasi_nn_openvino
PUBLIC
libiwasm
openvino::runtime
openvino::runtime::c
wasi-nn-general
)
endif()

20
core/iwasm/libraries/wasi-nn/include/wasi_nn_host.h Normal file
View File

@ -0,0 +1,20 @@
/*
* Copyright (C) 2019 Intel Corporation. All rights reserved.
* SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
*/
#ifndef WASI_NN_HOST_H
#define WASI_NN_HOST_H
#include "lib_export.h"
uint32_t
get_wasi_nn_export_apis(NativeSymbol **p_native_symbols);
bool
wasi_nn_initialize();
void
wasi_nn_destroy();
#endif /* WASI_NN_HOST_H */

4
core/iwasm/libraries/wasi-nn/include/wasi_nn_types.h
View File

@ -126,6 +126,7 @@ typedef enum {
tensorflowlite,
ggml,
autodetect,
unknown_backend,
} graph_encoding;
// Define where the graph should be executed.
@ -161,9 +162,6 @@ typedef struct {
BACKEND_DEINITIALIZE deinit;
} api_function;
bool
wasi_nn_register_backend(api_function apis);
void
wasi_nn_dump_tensor_dimension(tensor_dimensions *dim, int32_t output_len,
char *output);

405
core/iwasm/libraries/wasi-nn/src/wasi_nn.c
View File

@ -10,40 +10,37 @@
#include <errno.h>
#include <string.h>
#include <stdint.h>
#include <dlfcn.h>
#include "wasi_nn_private.h"
#include "wasi_nn_app_native.h"
#include "logger.h"
#include "utils/wasi_nn_app_native.h"
#include "utils/logger.h"
#include "bh_platform.h"
#include "wasi_nn_types.h"
#include "wasm_export.h"
#define HASHMAP_INITIAL_SIZE 20
#define TFLITE_BACKEND_LIB "libwasi_nn_tflite.so"
#define OPENVINO_BACKEND_LIB "libwasi_nn_openvino.so"
#define LLAMACPP_BACKEND_LIB "libwasi_nn_llamacpp.so"
/* Global variables */
// if using `load_by_name`, there is no known `encoding` at the time of loading
// so, just keep one `api_function` is enough
static api_function lookup = { 0 };
struct backends_api_functions {
void *backend_handle;
api_function functions;
} lookup[autodetect] = { 0 };
#define call_wasi_nn_func(wasi_error, func, ...) \
do { \
if (lookup.func) { \
wasi_error = lookup.func(__VA_ARGS__); \
if (wasi_error != success) \
NN_ERR_PRINTF("Error %s: %d", #func, wasi_error); \
} \
else { \
NN_ERR_PRINTF("Error %s is not registered", #func); \
wasi_error = unsupported_operation; \
} \
#define call_wasi_nn_func(backend_encoding, func, wasi_error, ...) \
do { \
wasi_error = lookup[backend_encoding].functions.func(__VA_ARGS__); \
if (wasi_error != success) \
NN_ERR_PRINTF("Error %s() -> %d", #func, wasi_error); \
} while (0)
/* HashMap utils */
static HashMap *hashmap;
static void
wasi_nn_ctx_destroy(WASINNContext *wasi_nn_ctx);
static uint32
hash_func(const void *key)
{
@ -74,12 +71,51 @@ key_destroy_func(void *key1)
/* key type is wasm_module_inst_t*. do nothing */
}
static void
wasi_nn_ctx_destroy(WASINNContext *wasi_nn_ctx)
{
NN_DBG_PRINTF("[WASI NN] DEINIT...");
if (wasi_nn_ctx == NULL) {
NN_ERR_PRINTF(
"Error when deallocating memory. WASI-NN context is NULL");
return;
}
NN_DBG_PRINTF("Freeing wasi-nn");
NN_DBG_PRINTF("-> is_model_loaded: %d", wasi_nn_ctx->is_model_loaded);
NN_DBG_PRINTF("-> current_encoding: %d", wasi_nn_ctx->backend);
/* deinit() the backend */
wasi_nn_error res;
call_wasi_nn_func(wasi_nn_ctx->backend, deinit, res,
wasi_nn_ctx->backend_ctx);
wasm_runtime_free(wasi_nn_ctx);
}
static void
value_destroy_func(void *value)
{
wasi_nn_ctx_destroy((WASINNContext *)value);
}
bool
wasi_nn_initialize()
{
NN_DBG_PRINTF("[WASI NN General] Initializing wasi-nn");
// hashmap { instance: wasi_nn_ctx }
hashmap = bh_hash_map_create(HASHMAP_INITIAL_SIZE, true, hash_func,
key_equal_func, key_destroy_func,
value_destroy_func);
if (hashmap == NULL) {
NN_ERR_PRINTF("Error while initializing hashmap");
return false;
}
return true;
}
static WASINNContext *
wasi_nn_initialize_context()
{
@ -91,34 +127,11 @@ wasi_nn_initialize_context()
NN_ERR_PRINTF("Error when allocating memory for WASI-NN context");
return NULL;
}
wasi_nn_ctx->is_model_loaded = false;
/* only one backend can be registered */
wasi_nn_error res;
call_wasi_nn_func(res, init, &wasi_nn_ctx->backend_ctx);
if (res != success) {
wasm_runtime_free(wasi_nn_ctx);
return NULL;
}
memset(wasi_nn_ctx, 0, sizeof(WASINNContext));
return wasi_nn_ctx;
}
static bool
wasi_nn_initialize()
{
NN_DBG_PRINTF("[WASI NN General] Initializing wasi-nn");
// hashmap { instance: wasi_nn_ctx }
hashmap = bh_hash_map_create(HASHMAP_INITIAL_SIZE, true, hash_func,
key_equal_func, key_destroy_func,
value_destroy_func);
if (hashmap == NULL) {
NN_ERR_PRINTF("Error while initializing hashmap");
return false;
}
return true;
}
/* Get wasi-nn context from module instance */
static WASINNContext *
wasm_runtime_get_wasi_nn_ctx(wasm_module_inst_t instance)
@ -129,6 +142,7 @@ wasm_runtime_get_wasi_nn_ctx(wasm_module_inst_t instance)
wasi_nn_ctx = wasi_nn_initialize_context();
if (wasi_nn_ctx == NULL)
return NULL;
bool ok =
bh_hash_map_insert(hashmap, (void *)instance, (void *)wasi_nn_ctx);
if (!ok) {
@ -141,36 +155,31 @@ wasm_runtime_get_wasi_nn_ctx(wasm_module_inst_t instance)
return wasi_nn_ctx;
}
static void
wasi_nn_ctx_destroy(WASINNContext *wasi_nn_ctx)
{
NN_DBG_PRINTF("[WASI NN] DEINIT...");
if (wasi_nn_ctx == NULL) {
NN_ERR_PRINTF(
"Error when deallocating memory. WASI-NN context is NULL");
return;
}
NN_DBG_PRINTF("Freeing wasi-nn");
NN_DBG_PRINTF("-> is_model_loaded: %d", wasi_nn_ctx->is_model_loaded);
NN_DBG_PRINTF("-> current_encoding: %d", wasi_nn_ctx->current_encoding);
/* only one backend can be registered */
wasi_nn_error res;
call_wasi_nn_func(res, deinit, wasi_nn_ctx->backend_ctx);
wasm_runtime_free(wasi_nn_ctx);
}
void
wasi_nn_destroy()
{
// destroy hashmap will destroy keys and values
bh_hash_map_destroy(hashmap);
// close backends' libraries and registered functions
for (unsigned i = 0; i < sizeof(lookup) / sizeof(lookup[0]); i++) {
if (lookup[i].backend_handle) {
dlclose(lookup[i].backend_handle);
lookup[i].backend_handle = NULL;
}
lookup[i].functions.init = NULL;
lookup[i].functions.deinit = NULL;
lookup[i].functions.load = NULL;
lookup[i].functions.load_by_name = NULL;
lookup[i].functions.init_execution_context = NULL;
lookup[i].functions.set_input = NULL;
lookup[i].functions.compute = NULL;
lookup[i].functions.get_output = NULL;
}
}
/* Utils */
static wasi_nn_error
is_model_initialized(WASINNContext *wasi_nn_ctx)
{
@ -181,8 +190,169 @@ is_model_initialized(WASINNContext *wasi_nn_ctx)
return success;
}
/* WASI-NN implementation */
/*
*TODO: choose a proper backend based on
* - hardware
* - model file format
* - on device ML framework
*/
static graph_encoding
choose_a_backend()
{
void *handle;
handle = dlopen(LLAMACPP_BACKEND_LIB, RTLD_LAZY);
if (handle) {
NN_INFO_PRINTF("Using llama.cpp backend");
dlclose(handle);
return ggml;
}
handle = dlopen(OPENVINO_BACKEND_LIB, RTLD_LAZY);
if (handle) {
NN_INFO_PRINTF("Using openvino backend");
dlclose(handle);
return openvino;
}
handle = dlopen(TFLITE_BACKEND_LIB, RTLD_LAZY);
if (handle) {
NN_INFO_PRINTF("Using tflite backend");
dlclose(handle);
return tensorflowlite;
}
return unknown_backend;
}
static bool
register_backend(void *handle, api_function *functions)
{
BACKEND_INITIALIZE init = (BACKEND_INITIALIZE)dlsym(handle, "init_backend");
if (!init) {
NN_WARN_PRINTF("init_backend() not found");
return false;
}
functions->init = init;
BACKEND_DEINITIALIZE deinit =
(BACKEND_DEINITIALIZE)dlsym(handle, "deinit_backend");
if (!deinit) {
NN_WARN_PRINTF("deinit_backend() not found");
return false;
}
functions->deinit = deinit;
LOAD load = (LOAD)dlsym(handle, "load");
if (!load) {
NN_WARN_PRINTF("load() not found");
return false;
}
functions->load = load;
LOAD_BY_NAME load_by_name = (LOAD_BY_NAME)dlsym(handle, "load_by_name");
if (!load_by_name) {
NN_WARN_PRINTF("load_by_name() not found");
return false;
}
functions->load_by_name = load_by_name;
INIT_EXECUTION_CONTEXT init_execution_context =
(INIT_EXECUTION_CONTEXT)dlsym(handle, "init_execution_context");
if (!init_execution_context) {
NN_WARN_PRINTF("init_execution_context() not found");
return false;
}
functions->init_execution_context = init_execution_context;
SET_INPUT set_input = (SET_INPUT)dlsym(handle, "set_input");
if (!set_input) {
NN_WARN_PRINTF("set_input() not found");
return false;
}
functions->set_input = set_input;
COMPUTE compute = (COMPUTE)dlsym(handle, "compute");
if (!compute) {
NN_WARN_PRINTF("compute() not found");
return false;
}
functions->compute = compute;
GET_OUTPUT get_output = (GET_OUTPUT)dlsym(handle, "get_output");
if (!get_output) {
NN_WARN_PRINTF("get_output() not found");
return false;
}
functions->get_output = get_output;
return true;
}
static bool
prepare_backend(const char *lib_name, struct backends_api_functions *backend)
{
NN_DBG_PRINTF("[Native Register] prepare_backend %s", lib_name);
void *handle;
handle = dlopen(lib_name, RTLD_LAZY);
if (!handle) {
NN_ERR_PRINTF("Error loading %s. %s", lib_name, dlerror());
return false;
}
if (!register_backend(handle, &(backend->functions))) {
NN_ERR_PRINTF("Error when registering functions of %s", lib_name);
dlclose(handle);
return false;
}
backend->backend_handle = handle;
return true;
}
static const char *
graph_encoding_to_backend_lib_name(graph_encoding encoding)
{
switch (encoding) {
case openvino:
return OPENVINO_BACKEND_LIB;
case tensorflowlite:
return TFLITE_BACKEND_LIB;
case ggml:
return LLAMACPP_BACKEND_LIB;
default:
return NULL;
}
}
static bool
detect_and_load_backend(graph_encoding backend_hint,
struct backends_api_functions *backends,
graph_encoding *loaded_backed)
{
if (backend_hint >= autodetect)
return false;
if (backend_hint == autodetect)
backend_hint = choose_a_backend();
/* if already loaded */
if (lookup[backend_hint].backend_handle) {
*loaded_backed = backend_hint;
return true;
}
*loaded_backed = backend_hint;
const char *backend_lib_name =
graph_encoding_to_backend_lib_name(backend_hint);
if (!backend_lib_name)
return false;
return prepare_backend(backend_lib_name, backends + backend_hint);
}
/* WASI-NN implementation */
#if WASM_ENABLE_WASI_EPHEMERAL_NN != 0
wasi_nn_error
wasi_nn_load(wasm_exec_env_t exec_env, graph_builder_wasm *builder,
@ -222,13 +392,28 @@ wasi_nn_load(wasm_exec_env_t exec_env, graph_builder_array_wasm *builder,
goto fail;
}
graph_encoding loaded_backed = autodetect;
if (!detect_and_load_backend(encoding, lookup, &loaded_backed)) {
res = invalid_encoding;
NN_ERR_PRINTF("load backend failed");
goto fail;
}
WASINNContext *wasi_nn_ctx = wasm_runtime_get_wasi_nn_ctx(instance);
call_wasi_nn_func(res, load, wasi_nn_ctx->backend_ctx, &builder_native,
encoding, target, g);
wasi_nn_ctx->backend = loaded_backed;
/* init() the backend */
call_wasi_nn_func(wasi_nn_ctx->backend, init, res,
&wasi_nn_ctx->backend_ctx);
if (res != success)
goto fail;
wasi_nn_ctx->current_encoding = encoding;
call_wasi_nn_func(wasi_nn_ctx->backend, load, res, wasi_nn_ctx->backend_ctx,
&builder_native, encoding, target, g);
if (res != success)
goto fail;
wasi_nn_ctx->backend = loaded_backed;
wasi_nn_ctx->is_model_loaded = true;
fail:
@ -251,22 +436,37 @@ wasi_nn_load_by_name(wasm_exec_env_t exec_env, char *name, uint32_t name_len,
}
if (!wasm_runtime_validate_native_addr(instance, name, name_len)) {
NN_ERR_PRINTF("name is invalid");
return invalid_argument;
}
if (!wasm_runtime_validate_native_addr(instance, g,
(uint64)sizeof(graph))) {
NN_ERR_PRINTF("graph is invalid");
return invalid_argument;
}
graph_encoding loaded_backed = autodetect;
if (detect_and_load_backend(autodetect, lookup, &loaded_backed)) {
NN_ERR_PRINTF("load backend failed");
return invalid_encoding;
}
WASINNContext *wasi_nn_ctx = wasm_runtime_get_wasi_nn_ctx(instance);
wasi_nn_error res;
call_wasi_nn_func(res, load_by_name, wasi_nn_ctx->backend_ctx, name,
name_len, g);
/* init() the backend */
call_wasi_nn_func(wasi_nn_ctx->backend, init, res,
&wasi_nn_ctx->backend_ctx);
if (res != success)
return res;
wasi_nn_ctx->current_encoding = autodetect;
call_wasi_nn_func(wasi_nn_ctx->backend, load_by_name, res,
wasi_nn_ctx->backend_ctx, name, name_len, g);
if (res != success)
return res;
wasi_nn_ctx->backend = loaded_backed;
wasi_nn_ctx->is_model_loaded = true;
return success;
}
@ -294,8 +494,8 @@ wasi_nn_init_execution_context(wasm_exec_env_t exec_env, graph g,
return invalid_argument;
}
call_wasi_nn_func(res, init_execution_context, wasi_nn_ctx->backend_ctx, g,
ctx);
call_wasi_nn_func(wasi_nn_ctx->backend, init_execution_context, res,
wasi_nn_ctx->backend_ctx, g, ctx);
return res;
}
@ -322,7 +522,8 @@ wasi_nn_set_input(wasm_exec_env_t exec_env, graph_execution_context ctx,
&input_tensor_native)))
return res;
call_wasi_nn_func(res, set_input, wasi_nn_ctx->backend_ctx, ctx, index,
call_wasi_nn_func(wasi_nn_ctx->backend, set_input, res,
wasi_nn_ctx->backend_ctx, ctx, index,
&input_tensor_native);
// XXX: Free intermediate structure pointers
if (input_tensor_native.dimensions)
@ -347,7 +548,8 @@ wasi_nn_compute(wasm_exec_env_t exec_env, graph_execution_context ctx)
if (success != (res = is_model_initialized(wasi_nn_ctx)))
return res;
call_wasi_nn_func(res, compute, wasi_nn_ctx->backend_ctx, ctx);
call_wasi_nn_func(wasi_nn_ctx->backend, compute, res,
wasi_nn_ctx->backend_ctx, ctx);
return res;
}
@ -383,12 +585,14 @@ wasi_nn_get_output(wasm_exec_env_t exec_env, graph_execution_context ctx,
}
#if WASM_ENABLE_WASI_EPHEMERAL_NN != 0
call_wasi_nn_func(res, get_output, wasi_nn_ctx->backend_ctx, ctx, index,
output_tensor, &output_tensor_len);
call_wasi_nn_func(wasi_nn_ctx->backend, get_output, res,
wasi_nn_ctx->backend_ctx, ctx, index, output_tensor,
&output_tensor_len);
*output_tensor_size = output_tensor_len;
#else /* WASM_ENABLE_WASI_EPHEMERAL_NN == 0 */
call_wasi_nn_func(res, get_output, wasi_nn_ctx->backend_ctx, ctx, index,
output_tensor, output_tensor_size);
call_wasi_nn_func(wasi_nn_ctx->backend, get_output, res,
wasi_nn_ctx->backend_ctx, ctx, index, output_tensor,
output_tensor_size);
#endif /* WASM_ENABLE_WASI_EPHEMERAL_NN != 0 */
return res;
}
@ -423,44 +627,3 @@ get_wasi_nn_export_apis(NativeSymbol **p_native_symbols)
*p_native_symbols = native_symbols_wasi_nn;
return sizeof(native_symbols_wasi_nn) / sizeof(NativeSymbol);
}
__attribute__((used)) uint32_t
get_native_lib(char **p_module_name, NativeSymbol **p_native_symbols)
{
NN_DBG_PRINTF("[Native Register] get_native_lib");
#if WASM_ENABLE_WASI_EPHEMERAL_NN != 0
*p_module_name = "wasi_ephemeral_nn";
#else /* WASM_ENABLE_WASI_EPHEMERAL_NN == 0 */
*p_module_name = "wasi_nn";
#endif /* WASM_ENABLE_WASI_EPHEMERAL_NN != 0 */
return get_wasi_nn_export_apis(p_native_symbols);
}
__attribute__((used)) int
init_native_lib()
{
NN_DBG_PRINTF("[Native Register] init_native_lib");
if (!wasi_nn_initialize())
return 1;
return 0;
}
__attribute__((used)) void
deinit_native_lib()
{
NN_DBG_PRINTF("[Native Register] deinit_native_lib");
wasi_nn_destroy();
}
__attribute__((used)) bool
wasi_nn_register_backend(api_function apis)
{
NN_DBG_PRINTF("[Native Register] wasi_nn_register_backend");
lookup = apis;
return true;
}

80
core/iwasm/libraries/wasi-nn/src/wasi_nn_openvino.c
View File

@ -5,7 +5,7 @@
#include "wasi_nn_types.h"
#include "wasi_nn_openvino.h"
#include "logger.h"
#include "utils/logger.h"
#include "bh_platform.h"
#include "openvino/c/openvino.h"
@ -82,7 +82,7 @@ dump_ov_shape_t(const ov_shape_t *shape, int32_t output_len, char *output)
static void
print_model_input_output_info(ov_model_t *model)
{
wasi_nn_error ov_error;
wasi_nn_error ov_error = success;
char *friendly_name = NULL;
size_t input_size = 0;
ov_output_const_port_t *input_port = NULL;
@ -136,6 +136,7 @@ print_model_input_output_info(ov_model_t *model)
output_port = NULL;
}
ov_error = ov_error;
fail:
if (friendly_name)
ov_free(friendly_name);
@ -157,16 +158,23 @@ wasi_nn_tensor_type_to_openvino_element_type(tensor_type wasi_nn_type)
return F16;
case fp32:
return F32;
#if WASM_ENABLE_WASI_EPHEMERAL_NN != 0
case fp64:
return F64;
case bf16:
return BF16;
case i64:
return I64;
case u8:
return U8;
case i32:
return I32;
case i64:
return I64;
#else
case up8:
return U8;
case ip32:
return I32;
#endif
default:
break;
}
@ -178,7 +186,7 @@ wasi_nn_tensor_type_to_openvino_element_type(tensor_type wasi_nn_type)
static wasi_nn_error
uint32_array_to_int64_array(uint32_t array_size, uint32_t *src, int64_t **dst)
{
*dst = malloc(array_size * sizeof(int64_t));
*dst = os_malloc(array_size * sizeof(int64_t));
if (!(*dst))
return runtime_error;
@ -189,9 +197,9 @@ uint32_array_to_int64_array(uint32_t array_size, uint32_t *src, int64_t **dst)
return success;
}
wasi_nn_error
openvino_load(void *ctx, graph_builder_array *builder, graph_encoding encoding,
execution_target target, graph *g)
__attribute__((visibility("default"))) wasi_nn_error
load(void *ctx, graph_builder_array *builder, graph_encoding encoding,
execution_target target, graph *g)
{
OpenVINOContext *ov_ctx = (OpenVINOContext *)ctx;
wasi_nn_error ret = unsupported_operation;
@ -227,7 +235,7 @@ openvino_load(void *ctx, graph_builder_array *builder, graph_encoding encoding,
/* transfer weight to an ov tensor */
{
ov_ctx->weight_data = malloc(weight.size);
ov_ctx->weight_data = os_malloc(weight.size);
if (!ov_ctx->weight_data)
goto fail;
memcpy(ov_ctx->weight_data, weight.buf, weight.size);
@ -255,9 +263,8 @@ fail:
return ret;
}
wasi_nn_error
openvino_load_by_name(void *ctx, const char *filename, uint32_t filename_len,
graph *g)
__attribute__((visibility("default"))) wasi_nn_error
load_by_name(void *ctx, const char *filename, uint32_t filename_len, graph *g)
{
OpenVINOContext *ov_ctx = (OpenVINOContext *)ctx;
wasi_nn_error ret = unsupported_operation;
@ -270,16 +277,15 @@ fail:
return ret;
}
wasi_nn_error
openvino_init_execution_context(void *ctx, graph g,
graph_execution_context *exec_ctx)
__attribute__((visibility("default"))) wasi_nn_error
init_execution_context(void *ctx, graph g, graph_execution_context *exec_ctx)
{
return success;
}
wasi_nn_error
openvino_set_input(void *ctx, graph_execution_context exec_ctx, uint32_t index,
tensor *wasi_nn_tensor)
__attribute__((visibility("default"))) wasi_nn_error
set_input(void *ctx, graph_execution_context exec_ctx, uint32_t index,
tensor *wasi_nn_tensor)
{
OpenVINOContext *ov_ctx = (OpenVINOContext *)ctx;
wasi_nn_error ret = unsupported_operation;
@ -405,7 +411,7 @@ openvino_set_input(void *ctx, graph_execution_context exec_ctx, uint32_t index,
fail:
if (ov_dims)
free(ov_dims);
os_free(ov_dims);
ov_shape_free(&input_shape);
if (ppp)
ov_preprocess_prepostprocessor_free(ppp);
@ -429,8 +435,8 @@ fail:
return ret;
}
wasi_nn_error
openvino_compute(void *ctx, graph_execution_context exec_ctx)
__attribute__((visibility("default"))) wasi_nn_error
compute(void *ctx, graph_execution_context exec_ctx)
{
OpenVINOContext *ov_ctx = (OpenVINOContext *)ctx;
wasi_nn_error ret = unsupported_operation;
@ -441,9 +447,9 @@ fail:
return ret;
}
wasi_nn_error
openvino_get_output(void *ctx, graph_execution_context exec_ctx, uint32_t index,
tensor_data output_tensor, uint32_t *output_tensor_size)
__attribute__((visibility("default"))) wasi_nn_error
get_output(void *ctx, graph_execution_context exec_ctx, uint32_t index,
tensor_data output_tensor, uint32_t *output_tensor_size)
{
OpenVINOContext *ov_ctx = (OpenVINOContext *)ctx;
wasi_nn_error ret = unsupported_operation;
@ -471,8 +477,8 @@ fail:
return ret;
}
wasi_nn_error
openvino_initialize(void **ctx)
__attribute__((visibility("default"))) wasi_nn_error
init_backend(void **ctx)
{
ov_version_t version;
OpenVINOContext *ov_ctx = NULL;
@ -509,8 +515,8 @@ fail:
return ret;
}
wasi_nn_error
openvino_destroy(void *ctx)
__attribute__((visibility("default"))) wasi_nn_error
deinit_backend(void *ctx)
{
OpenVINOContext *ov_ctx = (OpenVINOContext *)ctx;
@ -518,7 +524,7 @@ openvino_destroy(void *ctx)
return invalid_argument;
if (ov_ctx->weight_data)
free(ov_ctx->weight_data);
os_free(ov_ctx->weight_data);
if (ov_ctx->weights_tensor)
ov_tensor_free(ov_ctx->weights_tensor);
@ -541,19 +547,3 @@ openvino_destroy(void *ctx)
os_free(ov_ctx);
return success;
}
__attribute__((constructor(200))) void
openvino_register_backend()
{
api_function apis = {
.load = openvino_load,
.load_by_name = openvino_load_by_name,
.init_execution_context = openvino_init_execution_context,
.set_input = openvino_set_input,
.compute = openvino_compute,
.get_output = openvino_get_output,
.init = openvino_initialize,
.deinit = openvino_destroy,
};
wasi_nn_register_backend(apis);
}

35
core/iwasm/libraries/wasi-nn/src/wasi_nn_openvino.h
View File

@ -8,29 +8,28 @@
#include "wasi_nn_types.h"
wasi_nn_error
openvino_load(void *ctx, graph_builder_array *builder, graph_encoding encoding,
execution_target target, graph *g);
__attribute__((visibility("default"))) wasi_nn_error
load(void *ctx, graph_builder_array *builder, graph_encoding encoding,
execution_target target, graph *g);
wasi_nn_error
openvino_init_execution_context(void *ctx, graph g,
graph_execution_context *exec_ctx);
__attribute__((visibility("default"))) wasi_nn_error
init_execution_context(void *ctx, graph g, graph_execution_context *exec_ctx);
wasi_nn_error
openvino_set_input(void *ctx, graph_execution_context exec_ctx, uint32_t index,
tensor *input_tensor);
__attribute__((visibility("default"))) wasi_nn_error
set_input(void *ctx, graph_execution_context exec_ctx, uint32_t index,
tensor *input_tensor);
wasi_nn_error
openvino_compute(void *ctx, graph_execution_context exec_ctx);
__attribute__((visibility("default"))) wasi_nn_error
compute(void *ctx, graph_execution_context exec_ctx);
wasi_nn_error
openvino_get_output(void *ctx, graph_execution_context exec_ctx, uint32_t index,
tensor_data output_tensor, uint32_t *output_tensor_size);
__attribute__((visibility("default"))) wasi_nn_error
get_output(void *ctx, graph_execution_context exec_ctx, uint32_t index,
tensor_data output_tensor, uint32_t *output_tensor_size);
wasi_nn_error
openvino_initialize(void **ctx);
__attribute__((visibility("default"))) wasi_nn_error
init_backend(void **ctx);
wasi_nn_error
openvino_destroy(void *ctx);
__attribute__((visibility("default"))) wasi_nn_error
deinit_backend(void *ctx);
#endif /* WASI_NN_OPENVINO_HPP */

3
core/iwasm/libraries/wasi-nn/src/wasi_nn_private.h
View File

@ -11,8 +11,7 @@
typedef struct {
bool is_model_loaded;
// Optional
graph_encoding current_encoding;
graph_encoding backend;
void *backend_ctx;
} WASINNContext;

61
core/iwasm/libraries/wasi-nn/src/wasi_nn_tensorflowlite.cpp
View File

@ -4,7 +4,7 @@
*/
#include "wasi_nn_tensorflowlite.hpp"
#include "logger.h"
#include "utils/logger.h"
#include "bh_platform.h"
#include "wasi_nn_types.h"
@ -113,10 +113,9 @@ is_valid_graph_execution_context(TFLiteContext *tfl_ctx,
}
/* WASI-NN (tensorflow) implementation */
wasi_nn_error
tensorflowlite_load(void *tflite_ctx, graph_builder_array *builder,
graph_encoding encoding, execution_target target, graph *g)
__attribute__((visibility("default"))) wasi_nn_error
load(void *tflite_ctx, graph_builder_array *builder, graph_encoding encoding,
execution_target target, graph *g)
{
TFLiteContext *tfl_ctx = (TFLiteContext *)tflite_ctx;
@ -168,9 +167,9 @@ tensorflowlite_load(void *tflite_ctx, graph_builder_array *builder,
return success;
}
wasi_nn_error
tensorflowlite_load_by_name(void *tflite_ctx, const char *filename,
uint32_t filename_len, graph *g)
__attribute__((visibility("default"))) wasi_nn_error
load_by_name(void *tflite_ctx, const char *filename, uint32_t filename_len,
graph *g)
{
TFLiteContext *tfl_ctx = (TFLiteContext *)tflite_ctx;
@ -192,9 +191,8 @@ tensorflowlite_load_by_name(void *tflite_ctx, const char *filename,
return success;
}
wasi_nn_error
tensorflowlite_init_execution_context(void *tflite_ctx, graph g,
graph_execution_context *ctx)
__attribute__((visibility("default"))) wasi_nn_error
init_execution_context(void *tflite_ctx, graph g, graph_execution_context *ctx)
{
TFLiteContext *tfl_ctx = (TFLiteContext *)tflite_ctx;
@ -281,9 +279,9 @@ tensorflowlite_init_execution_context(void *tflite_ctx, graph g,
return success;
}
wasi_nn_error
tensorflowlite_set_input(void *tflite_ctx, graph_execution_context ctx,
uint32_t index, tensor *input_tensor)
__attribute__((visibility("default"))) wasi_nn_error
set_input(void *tflite_ctx, graph_execution_context ctx, uint32_t index,
tensor *input_tensor)
{
TFLiteContext *tfl_ctx = (TFLiteContext *)tflite_ctx;
@ -352,8 +350,8 @@ tensorflowlite_set_input(void *tflite_ctx, graph_execution_context ctx,
return success;
}
wasi_nn_error
tensorflowlite_compute(void *tflite_ctx, graph_execution_context ctx)
__attribute__((visibility("default"))) wasi_nn_error
compute(void *tflite_ctx, graph_execution_context ctx)
{
TFLiteContext *tfl_ctx = (TFLiteContext *)tflite_ctx;
@ -365,10 +363,9 @@ tensorflowlite_compute(void *tflite_ctx, graph_execution_context ctx)
return success;
}
wasi_nn_error
tensorflowlite_get_output(void *tflite_ctx, graph_execution_context ctx,
uint32_t index, tensor_data output_tensor,
uint32_t *output_tensor_size)
__attribute__((visibility("default"))) wasi_nn_error
get_output(void *tflite_ctx, graph_execution_context ctx, uint32_t index,
tensor_data output_tensor, uint32_t *output_tensor_size)
{
TFLiteContext *tfl_ctx = (TFLiteContext *)tflite_ctx;
@ -434,8 +431,8 @@ tensorflowlite_get_output(void *tflite_ctx, graph_execution_context ctx,
return success;
}
wasi_nn_error
tensorflowlite_initialize(void **tflite_ctx)
__attribute__((visibility("default"))) wasi_nn_error
init_backend(void **tflite_ctx)
{
TFLiteContext *tfl_ctx = new TFLiteContext();
if (tfl_ctx == NULL) {
@ -461,8 +458,8 @@ tensorflowlite_initialize(void **tflite_ctx)
return success;
}
wasi_nn_error
tensorflowlite_destroy(void *tflite_ctx)
__attribute__((visibility("default"))) wasi_nn_error
deinit_backend(void *tflite_ctx)
{
/*
TensorFlow Lite memory is internally managed by tensorflow
@ -513,19 +510,3 @@ tensorflowlite_destroy(void *tflite_ctx)
NN_DBG_PRINTF("Memory free'd.");
return success;
}
__attribute__((constructor(200))) void
tflite_register_backend()
{
api_function apis = {
.load = tensorflowlite_load,
.load_by_name = tensorflowlite_load_by_name,
.init_execution_context = tensorflowlite_init_execution_context,
.set_input = tensorflowlite_set_input,
.compute = tensorflowlite_compute,
.get_output = tensorflowlite_get_output,
.init = tensorflowlite_initialize,
.deinit = tensorflowlite_destroy,
};
wasi_nn_register_backend(apis);
}

40
core/iwasm/libraries/wasi-nn/src/wasi_nn_tensorflowlite.hpp
View File

@ -12,31 +12,33 @@
extern "C" {
#endif
wasi_nn_error
tensorflowlite_load(void *tflite_ctx, graph_builder_array *builder,
graph_encoding encoding, execution_target target, graph *g);
__attribute__((visibility("default"))) wasi_nn_error
load(void *tflite_ctx, graph_builder_array *builder, graph_encoding encoding,
execution_target target, graph *g);
wasi_nn_error
tensorflowlite_init_execution_context(void *tflite_ctx, graph g,
graph_execution_context *ctx);
__attribute__((visibility("default"))) wasi_nn_error
load_by_name(void *tflite_ctx, const char *filename, uint32_t filename_len,
graph *g);
wasi_nn_error
tensorflowlite_set_input(void *tflite_ctx, graph_execution_context ctx,
uint32_t index, tensor *input_tensor);
__attribute__((visibility("default"))) wasi_nn_error
init_execution_context(void *tflite_ctx, graph g, graph_execution_context *ctx);
wasi_nn_error
tensorflowlite_compute(void *tflite_ctx, graph_execution_context ctx);
__attribute__((visibility("default"))) wasi_nn_error
set_input(void *tflite_ctx, graph_execution_context ctx, uint32_t index,
tensor *input_tensor);
wasi_nn_error
tensorflowlite_get_output(void *tflite_ctx, graph_execution_context ctx,
uint32_t index, tensor_data output_tensor,
uint32_t *output_tensor_size);
__attribute__((visibility("default"))) wasi_nn_error
compute(void *tflite_ctx, graph_execution_context ctx);
wasi_nn_error
tensorflowlite_initialize(void **tflite_ctx);
__attribute__((visibility("default"))) wasi_nn_error
get_output(void *tflite_ctx, graph_execution_context ctx, uint32_t index,
tensor_data output_tensor, uint32_t *output_tensor_size);
wasi_nn_error
tensorflowlite_destroy(void *tflite_ctx);
__attribute__((visibility("default"))) wasi_nn_error
init_backend(void **tflite_ctx);
__attribute__((visibility("default"))) wasi_nn_error
deinit_backend(void *tflite_ctx);
#ifdef __cplusplus
}

9
core/iwasm/libraries/wasi-nn/test/Dockerfile.wasi-nn-smoke
View File

@ -78,23 +78,22 @@ RUN cd openvino-mobilenet-raw \
&& ./download_mobilenet.sh . \
&& ls -l mobilenet.xml mobilenet.bin tensor-1x224x224x3-f32.bgr
# RUN apt update \
# && apt install -y valgrind
#
# iwasm. build from source
WORKDIR /workspaces/wamr
COPY . .
WORKDIR /workspaces/wamr/product-mini/platforms/linux
RUN OpenVINO_DIR=/usr/lib/openvino-2023.2.0 \
cmake -S . -B build \
-DWAMR_BUILD_WASI_NN=1 -DWAMR_BUILD_WASI_EPHEMERAL_NN=1 \
-DWAMR_BUILD_WASI_NN_OPENVINO=1 -DWAMR_BUILD_WASI_NN_TFLITE=1 \
&& cmake --build build
RUN ln -sf "$(realpath ./build/iwasm)" /usr/local/bin/iwasm
#
ENV PATH=/workspaces/wamr/product-mini/platforms/linux/build:${PATH}
ENV LD_LIBRARY_PATH=/workspaces/wamr/product-mini/platforms/linux/build
# add smoke test script
COPY core/iwasm/libraries/wasi-nn/test/run_smoke_test.py /

4
core/iwasm/libraries/wasi-nn/test/run_smoke_test.py
View File

@ -163,7 +163,6 @@ def execute_tflite_birds_v1_image(iwasm_bin: str, wasmedge_bin: str, cwd: Path):
iwasm_output = execute_tflite_birds_v1_image_once(
iwasm_bin,
[
"--native-lib=/workspaces/wamr/product-mini/platforms/linux/build/libwasi-nn-tflite.so",
"--map-dir=.:.",
],
cwd,
@ -182,7 +181,6 @@ def execute_openvino_mobilenet_image(iwasm_bin: str, wasmedge_bin: str, cwd: Pat
iwasm_output = execute_openvino_mobilenet_image_once(
iwasm_bin,
[
"--native-lib=/workspaces/wamr/product-mini/platforms/linux/build/libwasi-nn-openvino.so",
"--map-dir=.:.",
],
cwd,
@ -201,7 +199,6 @@ def execute_openvino_mobilenet_raw(iwasm_bin: str, wasmedge_bin: str, cwd: Path)
iwasm_output = execute_openvino_mobilenet_raw_once(
iwasm_bin,
[
"--native-lib=/workspaces/wamr/product-mini/platforms/linux/build/libwasi-nn-openvino.so",
"--map-dir=.:.",
],
cwd,
@ -239,7 +236,6 @@ def execute_openvino_road_segmentation_adas(
iwasm_output = execute_openvino_road_segmentation_adas_once(
iwasm_bin,
[
"--native-lib=/workspaces/wamr/product-mini/platforms/linux/build/libwasi-nn-openvino.so",
"--map-dir=.:.",
],
cwd,