[wasi-nn] Add a new wasi-nn backend openvino (#3603)

.gitignore

@@ -5,7 +5,8 @@
 .venv
 /.idea
 **/cmake-build-*/
-**/*build/
+**/*build*/
+!/build-scripts
 *.obj
 *.a
 *.so

build-scripts/config_common.cmake

@@ -434,6 +434,19 @@ endif ()
 if (WAMR_BUILD_WASI_NN EQUAL 1)
   message ("     WASI-NN enabled")
   add_definitions (-DWASM_ENABLE_WASI_NN=1)
+  # Variant backends
+  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")
+    add_definitions (-DWASM_ENABLE_WASI_NN_TFLITE)
+  endif ()
+  if (WAMR_BUILD_WASI_NN_OPENVINO EQUAL 1)
+    message ("     WASI-NN backend openvino enabled")
+    add_definitions (-DWASM_ENABLE_WASI_NN_OPENVINO)
+  endif ()
+  # Variant devices
   if (WAMR_BUILD_WASI_NN_ENABLE_GPU EQUAL 1)
       message ("     WASI-NN: GPU enabled")
       add_definitions (-DWASM_ENABLE_WASI_NN_GPU=1)

core/iwasm/libraries/wasi-nn/README.md

@@ -19,6 +19,13 @@ $ cmake -DWAMR_BUILD_WASI_NN=1 <other options> ...
 > ![Caution]
 > If enable `WAMR_BUID_WASI_NN`, iwasm will link a shared WAMR library instead of a static one. Wasi-nn backends will be loaded dynamically at runtime. Users shall specify the path of the backend library and register it to the iwasm runtime with `--native-lib=<path of backend library>`. All shared libraries should be placed in the `LD_LIBRARY_PATH`.
 
+#### Compilation options
+
+- `WAMR_BUILD_WASI_NN`. enable wasi-nn support. can't work alone. need to identify a backend. Match legacy wasi-nn spec naming convention. use `wasi_nn` as import module names.
+- `WAMR_BUILD_WASI_EPHEMERAL_NN`. Match latest wasi-nn spec naming convention. use `wasi_ephemeral_nn` as import module names.
+- `WAMR_BUILD_WASI_NN_TFLITE`. identify the backend as TensorFlow Lite.
+- `WAMR_BUILD_WASI_NN_OPENVINO`. identify the backend as OpenVINO.
+
 ### Wasm
 
 The definition of functions provided by WASI-NN (Wasm imports) is in the header file [wasi_nn.h](_core/iwasm/libraries/wasi-nn/wasi_nn.h_). By only including this file in a WASM application you will bind WASI-NN into your module.
@@ -37,6 +44,12 @@ typedef enum { fp16 = 0, fp32, up8, ip32 } tensor_type;
 
 It is required to recompile the Wasm application if you want to switch between the two sets of functions.
 
+#### Openvino
+
+If you're planning to use OpenVINO backends, the first step is to install OpenVINO on your computer. To do this correctly, please follow the official installation guide which you can find at this link: https://docs.openvino.ai/2024/get-started/install-openvino/install-openvino-archive-linux.html.
+
+After you've installed OpenVINO, you'll need to let cmake system know where to find it. You can do this by setting an environment variable named `OpenVINO_DIR`. This variable should point to the place on your computer where OpenVINO is installed. By setting this variable, your system will be able to locate and use OpenVINO when needed. You can find installation path by running the following command if using APT `$dpkg -L openvino`. The path should be _/opt/intel/openvino/_ or _/usr/lib/openvino_.
+
 ## Tests
 
 To run the tests we assume that the current directory is the root of the repository.
@@ -167,7 +180,7 @@ Due to the different requirements of each backend, we'll use a Docker container
 $ pwd
 /workspaces/wasm-micro-runtime/
 
-$ docker build -t wasi-nn-smoke:v1.0 -f Dockerfile.wasi-nn-smoke .
+$ docker build -t wasi-nn-smoke:v1.0 -f ./core/iwasm/libraries/wasi-nn/test/Dockerfile.wasi-nn-smoke .
 ```
 
 #### Execute

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

@@ -3,13 +3,30 @@
 
 list(APPEND CMAKE_MODULE_PATH ${CMAKE_CURRENT_LIST_DIR})
 
-# Find tensorflow-lite
-find_package(tensorflow_lite REQUIRED)
+if(WAMR_BUILD_WASI_NN_TFLITE EQUAL 1)
+  # Find tensorflow-lite
+  find_package(tensorflow_lite REQUIRED)
+endif()
 
-set(WASI_NN_ROOT ${CMAKE_CURRENT_LIST_DIR}/..)
+if(WAMR_BUILD_WASI_NN_OPENVINO EQUAL 1)
+  if(NOT DEFINED ENV{OpenVINO_DIR})
+    message(FATAL_ERROR
+        "OpenVINO_DIR is not defined. "
+        "Please follow https://docs.openvino.ai/2024/get-started/install-openvino.html,"
+        "install openvino, and set environment variable OpenVINO_DIR."
+        "Like OpenVINO_DIR=/usr/lib/openvino-2023.2/ cmake ..."
+        "Or OpenVINO_DIR=/opt/intel/openvino/ cmake ..."
+    )
+  endif()
+
+  list(APPEND CMAKE_MODULE_PATH $ENV{OpenVINO_DIR})
+  # Find OpenVINO
+  find_package(OpenVINO REQUIRED COMPONENTS Runtime)
+endif()
 
 #
 # wasi-nn general
+set(WASI_NN_ROOT ${CMAKE_CURRENT_LIST_DIR}/..)
 add_library(
   wasi-nn-general
   SHARED
@@ -37,20 +54,34 @@ target_compile_definitions(
 
 #
 # wasi-nn backends
-add_library(
-  wasi-nn-tflite
-  SHARED
-    ${WASI_NN_ROOT}/src/wasi_nn_tensorflowlite.cpp
-)
-#target_link_options(
-#  wasi-nn-tflite
-#  PRIVATE
-#    -Wl,--whole-archive libwasi-nn-general.a
-#    -Wl,--no-whole-archive
-#)
-target_link_libraries(
-  wasi-nn-tflite
-  PUBLIC
-    tensorflow-lite
-    wasi-nn-general
-)
+
+# - tflite
+if(WAMR_BUILD_WASI_NN_TFLITE EQUAL 1)
+  add_library(
+    wasi-nn-tflite
+    SHARED
+      ${WASI_NN_ROOT}/src/wasi_nn_tensorflowlite.cpp
+  )
+  target_link_libraries(
+    wasi-nn-tflite
+    PUBLIC
+      tensorflow-lite
+      wasi-nn-general
+  )
+endif()
+
+# - openvino
+if(WAMR_BUILD_WASI_NN_OPENVINO EQUAL 1)
+  add_library(
+    wasi-nn-openvino
+    SHARED
+      ${WASI_NN_ROOT}/src/wasi_nn_openvino.c
+  )
+  target_link_libraries(
+    wasi-nn-openvino
+    PUBLIC
+      openvino::runtime
+      openvino::runtime::c
+      wasi-nn-general
+  )
+endif()

core/iwasm/libraries/wasi-nn/include/wasi_nn_types.h

@@ -164,6 +164,10 @@ typedef struct {
 bool
 wasi_nn_register_backend(api_function apis);
 
+void
+wasi_nn_dump_tensor_dimension(tensor_dimensions *dim, int32_t output_len,
+                              char *output);
+
 #ifdef __cplusplus
 }
 #endif

core/iwasm/libraries/wasi-nn/src/utils/wasi_nn_app_native.c

@@ -88,7 +88,7 @@ graph_builder_array_app_native(wasm_module_inst_t instance,
         }
 
         NN_DBG_PRINTF("Graph builder %d contains %d elements", i,
-                      builder->size);
+                      builder[i].size);
     }
 
     builder_array->buf = builder;