wasi-nn: Add wasmedge-wasinn-example as smoke test (#3554)

.dockerignore

@@ -0,0 +1,16 @@
+# for now, it is used to speed up wasi-nn tests only.
+# you shall adapt below rules to incoming requirements
+
+build
+*/build
+*/*/build
+*/*/*/build
+*/*/*/*/build
+*/*/*/*/*/build
+*/*/*/*/*/*/build
+.*
+
+core/deps
+!core/deps/tensorflow-src
+samples
+tests

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

@@ -27,7 +27,7 @@ For some historical reasons, there are two sets of functions in the header file.
 
 There is a big difference between the two sets of functions, `tensor_type`.
 
-``` c
+```c
 #if WASM_ENABLE_WASI_EPHEMERAL_NN != 0
 typedef enum { fp16 = 0, fp32, fp64, bf16, u8, i32, i64 } tensor_type;
 #else
@@ -147,39 +147,35 @@ Supported:
 
 ## Smoke test
 
-Use [classification-example](https://github.com/bytecodealliance/wasi-nn/tree/main/rust/examples/classification-example) as a smoke test case to make sure the wasi-nn support in WAMR is working properly.
+### Testing with WasmEdge-WASINN Examples
 
-> [!Important]
-> It requires openvino.
+To ensure everything is set up correctly, use the examples from [WasmEdge-WASINN-examples](https://github.com/second-state/WasmEdge-WASINN-examples/tree/master). These examples help verify that WASI-NN support in WAMR is functioning as expected.
 
-### Prepare the model and the wasm
+> Note: The repository contains two types of examples. Some use the [standard wasi-nn](https://github.com/WebAssembly/wasi-nn), while others use [WasmEdge's version of wasi-nn](https://github.com/second-state/wasmedge-wasi-nn), which is enhanced to meet specific customer needs.
 
-```bash
-$ pwd
-/workspaces/wasm-micro-runtime/core/iwasm/libraries/wasi-nn/test
-
-$ docker build -t wasi-nn-example:v1.0 -f Dockerfile.wasi-nn-example .
-```
+The examples test the following machine learning backends:
 
-There are model files(\*mobilenet\**) and wasm files(*wasi-nn-example.wasm*) in the directory */workspaces/wasi-nn/rust/examples/classification-example/build\* in the image of wasi-nn-example:v1.0.
+- OpenVINO
+- PyTorch
+- TensorFlow Lite
 
-### build iwasm and test
+Due to the different requirements of each backend, we'll use a Docker container for a hassle-free testing environment.
 
-_TODO: May need alternative steps to build the iwasm and test in the container of wasi-nn-example:v1.0_
+#### Prepare the execution environment
 
 ```bash
 $ pwd
-/workspaces/wasm-micro-runtime
+/workspaces/wasm-micro-runtime/
 
-$ docker run --rm -it -v $(pwd):/workspaces/wasm-micro-runtime wasi-nn-example:v1.0 /bin/bash
+$ docker build -t wasi-nn-smoke:v1.0 -f Dockerfile.wasi-nn-smoke .
 ```
 
-> [!Caution]
-> The following steps are executed in the container of wasi-nn-example:v1.0.
+#### Execute
 
 ```bash
-$ cd /workspaces/wasm-micro-runtime/product-mini/platforms/linux
-$ cmake -S . -B build -DWAMR_BUILD_WASI_NN=1 -DWAMR_BUILD_WASI_EPHEMERAL_NN=1
-$ cmake --build build
-$ ./build/iwasm -v=5 --map-dir=/workspaces/wasi-nn/rust/examples/classification-example/build/::fixture /workspaces/wasi-nn/rust/examples/classification-example/build/wasi-nn-example.wasm
+$ docker run --rm wasi-nn-smoke:v1.0
 ```
+
+### Testing with bytecodealliance wasi-nn
+
+For another example, check out [classification-example](https://github.com/bytecodealliance/wasi-nn/tree/main/rust/examples/classification-example), which focuses on OpenVINO. You can run it using the same Docker container mentioned above.

core/iwasm/libraries/wasi-nn/test/Dockerfile.wasi-nn-example → core/iwasm/libraries/wasi-nn/test/Dockerfile.wasi-nn-smoke

@@ -1,7 +1,7 @@
 # Copyright (C) 2019 Intel Corporation.  All rights reserved.
 # SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
 
-FROM mcr.microsoft.com/devcontainers/rust:1-1-bullseye
+FROM mcr.microsoft.com/devcontainers/rust:1-1-bullseye@sha256:ddc1ee022d327f024c07484c9333db3fbbfd504bc096cdb66635653a2bebb33e
 
 ARG DEBIAN_FRONTEND=noninteractive
 ENV TZ=Asian/Shanghai
@@ -10,10 +10,6 @@ ENV TZ=Asian/Shanghai
 RUN apt-get update \
   && apt-get upgrade -y
 
-#
-# Rust targets
-RUN rustup target add wasm32-wasi wasm32-unknown-unknown
-
 #
 # Openvino
 # Refer to
@@ -42,16 +38,43 @@ RUN tar -xf wasmtime-v21.0.0-x86_64-linux.tar.xz \
 
 #
 # wasi-nn
+# compilation requirements
+RUN rustup target add wasm32-wasi wasm32-unknown-unknown
 WORKDIR /workspaces/wasi-nn
 RUN git clone --depth 1 https://github.com/bytecodealliance/wasi-nn.git .
 # hadolint ignore=DL3059
-RUN ./build.sh rust
-
+#RUN ./build.sh rust
 # There are model files(mobilenet*) and wasm files(wasi-nn-example.wasm) in the directory,
 # /workspaces/wasi-nn/rust/examples/classification-example/build
 
-RUN apt-get autoremove -y \
-  && apt-get clean -y \
-  && rm -rf /tmp/*
+#
+# wasmedge
+WORKDIR /tmp
+RUN wget -q https://raw.githubusercontent.com/WasmEdge/WasmEdge/master/utils/install.sh \
+  && chmod a+x ./install.sh
+RUN ./install.sh -p /opt/wasmedge --plugins wasi_nn-tensorflowlite
+ENV PATH=/opt/wasmedge/bin:${PATH}
+ENV WASMEDGE_LIB_DIR=/opt/wasmedge/lib
+
+#
+# wasmedge-wasinn-examples
+WORKDIR /workspaces/wasmedge-wasinn-examples
+RUN git clone --depth 1 https://github.com/second-state/WasmEdge-WASINN-examples.git .
+
+#
+# iwasm. build from source
+WORKDIR /workspaces/wamr
+COPY . .
+
+WORKDIR /workspaces/wamr/product-mini/platforms/linux
+RUN cmake -S . -B build -DWAMR_BUILD_WASI_NN=1 -DWAMR_BUILD_WASI_EPHEMERAL_NN=1 \
+  && cmake --build build
+RUN ln -sf "$(realpath ./build/iwasm)" /usr/local/bin/iwasm
 
-WORKDIR /workspaces
+#
+# add smoke test script
+COPY core/iwasm/libraries/wasi-nn/test/run_smoke_test.py /
+
+#
+WORKDIR /workspaces/wasmedge-wasinn-examples
+CMD ["python3", "/run_smoke_test.py"]

core/iwasm/libraries/wasi-nn/test/run_smoke_test.py

@@ -0,0 +1,120 @@
+#!/usr/bin/env python3
+#
+# Copyright (C) 2019 Intel Corporation.  All rights reserved.
+# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+#
+
+from pathlib import Path
+from pprint import pprint
+import re
+import shlex
+import shutil
+import subprocess
+from typing import List
+
+
+def execute_tflite_birds_v1_image_once(
+    runtime_bin: str, runtime_args: List[str], cwd: Path
+) -> str:
+    """
+    execute tflite_birds_v1_image example with
+
+    ```
+    iwasm --native-lib=somewhere/libwasi-nn-tflite.so --map-dir=.:. \
+        ./wasmedge-wasinn-example-tflite-bird-image.wasm  \
+        lite-model_aiy_vision_classifier_birds_V1_3.tflite \
+        bird.jpg
+    ```
+
+    or
+
+    ```
+    wasmedge --dir=.:. \
+        ./wasmedge-wasinn-example-tflite-bird-image.wasm  \
+        lite-model_aiy_vision_classifier_birds_V1_3.tflite \
+        bird.jpg
+    ```
+
+    assumption:
+    - under the right directory, tflite-birds_v1-image
+    - every materials are ready
+    """
+
+    wasm_file = "./wasmedge-wasinn-example-tflite-bird-image.wasm"
+    wasm_args = ["lite-model_aiy_vision_classifier_birds_V1_3.tflite", "bird.jpg"]
+
+    cmd = [runtime_bin]
+    cmd.extend(runtime_args)
+    cmd.append(wasm_file)
+    cmd.extend(wasm_args)
+
+    try:
+        p = subprocess.run(
+            cmd,
+            cwd=cwd,
+            capture_output=True,
+            check=True,
+            text=True,
+            universal_newlines=True,
+        )
+        return p.stdout
+    except subprocess.CalledProcessError as e:
+        print(e.stderr)
+        print()
+        print(e.stdout)
+
+
+def filter_output_tflite_birds_v1_image(output: str) -> List[str]:
+    """
+    not all output is needed for comparision
+
+    pick lines like: "   1.) [526](136)Cathartes burrovianus"
+    """
+    filtered = []
+    PATTERN = re.compile(r"^\s+\d\.\)\s+\[\d+\]\(\d+\)\w+")
+    for line in output.split("\n"):
+        if PATTERN.search(line):
+            filtered.append(line.strip())
+
+    return filtered
+
+
+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,
+    )
+    iwasm_output = filter_output_tflite_birds_v1_image(iwasm_output)
+
+    wasmedge_output = execute_tflite_birds_v1_image_once(
+        wasmedge_bin, ["--dir=.:."], cwd
+    )
+    wasmedge_output = filter_output_tflite_birds_v1_image(wasmedge_output)
+
+    if iwasm_output == wasmedge_output:
+        print("- tflite_birds_v1_image. PASS")
+        return
+
+    print("- tflite_birds_v1_image. FAILED")
+    print("------------------------------------------------------------")
+    pprint(iwasm_output)
+    print("<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<")
+    pprint(wasmedge_output)
+    print("------------------------------------------------------------")
+
+
+def execute_wasmedge_wasinn_exmaples(iwasm_bin: str, wasmedge_bin: str):
+    assert Path.cwd().name == "wasmedge-wasinn-examples"
+    assert shutil.which(iwasm_bin)
+    assert shutil.which(wasmedge_bin)
+
+    tflite_birds_v1_image_dir = Path.cwd().joinpath("./tflite-birds_v1-image")
+    execute_tflite_birds_v1_image(iwasm_bin, wasmedge_bin, tflite_birds_v1_image_dir)
+
+
+if __name__ == "__main__":
+    execute_wasmedge_wasinn_exmaples("iwasm", "wasmedge")