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https://github.com/bytecodealliance/wasm-micro-runtime.git
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wasi-nn: Add wasmedge-wasinn-example as smoke test (#3554)
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.dockerignore
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.dockerignore
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# for now, it is used to speed up wasi-nn tests only.
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# you shall adapt below rules to incoming requirements
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build
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*/build
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*/*/build
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*/*/*/build
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*/*/*/*/build
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*/*/*/*/*/build
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*/*/*/*/*/*/build
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.*
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core/deps
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!core/deps/tensorflow-src
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samples
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tests
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@ -147,39 +147,35 @@ Supported:
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## Smoke test
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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.
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### Testing with WasmEdge-WASINN Examples
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> [!Important]
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> It requires openvino.
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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.
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### Prepare the model and the wasm
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> 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.
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The examples test the following machine learning backends:
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- OpenVINO
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- PyTorch
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- TensorFlow Lite
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Due to the different requirements of each backend, we'll use a Docker container for a hassle-free testing environment.
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#### Prepare the execution environment
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```bash
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$ pwd
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/workspaces/wasm-micro-runtime/core/iwasm/libraries/wasi-nn/test
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/workspaces/wasm-micro-runtime/
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$ docker build -t wasi-nn-example:v1.0 -f Dockerfile.wasi-nn-example .
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$ docker build -t wasi-nn-smoke:v1.0 -f Dockerfile.wasi-nn-smoke .
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```
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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.
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### build iwasm and test
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_TODO: May need alternative steps to build the iwasm and test in the container of wasi-nn-example:v1.0_
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#### Execute
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```bash
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$ pwd
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/workspaces/wasm-micro-runtime
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$ docker run --rm -it -v $(pwd):/workspaces/wasm-micro-runtime wasi-nn-example:v1.0 /bin/bash
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$ docker run --rm wasi-nn-smoke:v1.0
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```
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> [!Caution]
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> The following steps are executed in the container of wasi-nn-example:v1.0.
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### Testing with bytecodealliance wasi-nn
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```bash
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$ cd /workspaces/wasm-micro-runtime/product-mini/platforms/linux
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$ cmake -S . -B build -DWAMR_BUILD_WASI_NN=1 -DWAMR_BUILD_WASI_EPHEMERAL_NN=1
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$ cmake --build build
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$ ./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
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```
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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.
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@ -1,7 +1,7 @@
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# Copyright (C) 2019 Intel Corporation. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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FROM mcr.microsoft.com/devcontainers/rust:1-1-bullseye
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FROM mcr.microsoft.com/devcontainers/rust:1-1-bullseye@sha256:ddc1ee022d327f024c07484c9333db3fbbfd504bc096cdb66635653a2bebb33e
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ARG DEBIAN_FRONTEND=noninteractive
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ENV TZ=Asian/Shanghai
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@ -10,10 +10,6 @@ ENV TZ=Asian/Shanghai
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RUN apt-get update \
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&& apt-get upgrade -y
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#
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# Rust targets
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RUN rustup target add wasm32-wasi wasm32-unknown-unknown
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#
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# Openvino
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# Refer to
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@ -42,16 +38,43 @@ RUN tar -xf wasmtime-v21.0.0-x86_64-linux.tar.xz \
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#
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# wasi-nn
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# compilation requirements
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RUN rustup target add wasm32-wasi wasm32-unknown-unknown
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WORKDIR /workspaces/wasi-nn
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RUN git clone --depth 1 https://github.com/bytecodealliance/wasi-nn.git .
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# hadolint ignore=DL3059
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RUN ./build.sh rust
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#RUN ./build.sh rust
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# There are model files(mobilenet*) and wasm files(wasi-nn-example.wasm) in the directory,
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# /workspaces/wasi-nn/rust/examples/classification-example/build
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RUN apt-get autoremove -y \
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&& apt-get clean -y \
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&& rm -rf /tmp/*
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#
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# wasmedge
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WORKDIR /tmp
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RUN wget -q https://raw.githubusercontent.com/WasmEdge/WasmEdge/master/utils/install.sh \
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&& chmod a+x ./install.sh
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RUN ./install.sh -p /opt/wasmedge --plugins wasi_nn-tensorflowlite
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ENV PATH=/opt/wasmedge/bin:${PATH}
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ENV WASMEDGE_LIB_DIR=/opt/wasmedge/lib
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WORKDIR /workspaces
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#
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# wasmedge-wasinn-examples
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WORKDIR /workspaces/wasmedge-wasinn-examples
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RUN git clone --depth 1 https://github.com/second-state/WasmEdge-WASINN-examples.git .
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#
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# iwasm. build from source
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WORKDIR /workspaces/wamr
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COPY . .
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WORKDIR /workspaces/wamr/product-mini/platforms/linux
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RUN cmake -S . -B build -DWAMR_BUILD_WASI_NN=1 -DWAMR_BUILD_WASI_EPHEMERAL_NN=1 \
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&& cmake --build build
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RUN ln -sf "$(realpath ./build/iwasm)" /usr/local/bin/iwasm
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#
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# add smoke test script
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COPY core/iwasm/libraries/wasi-nn/test/run_smoke_test.py /
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#
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WORKDIR /workspaces/wasmedge-wasinn-examples
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CMD ["python3", "/run_smoke_test.py"]
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120
core/iwasm/libraries/wasi-nn/test/run_smoke_test.py
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120
core/iwasm/libraries/wasi-nn/test/run_smoke_test.py
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#!/usr/bin/env python3
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#
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# Copyright (C) 2019 Intel Corporation. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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#
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from pathlib import Path
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from pprint import pprint
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import re
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import shlex
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import shutil
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import subprocess
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from typing import List
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def execute_tflite_birds_v1_image_once(
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runtime_bin: str, runtime_args: List[str], cwd: Path
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) -> str:
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"""
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execute tflite_birds_v1_image example with
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```
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iwasm --native-lib=somewhere/libwasi-nn-tflite.so --map-dir=.:. \
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./wasmedge-wasinn-example-tflite-bird-image.wasm \
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lite-model_aiy_vision_classifier_birds_V1_3.tflite \
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bird.jpg
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```
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or
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```
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wasmedge --dir=.:. \
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./wasmedge-wasinn-example-tflite-bird-image.wasm \
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lite-model_aiy_vision_classifier_birds_V1_3.tflite \
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bird.jpg
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```
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assumption:
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- under the right directory, tflite-birds_v1-image
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- every materials are ready
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"""
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wasm_file = "./wasmedge-wasinn-example-tflite-bird-image.wasm"
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wasm_args = ["lite-model_aiy_vision_classifier_birds_V1_3.tflite", "bird.jpg"]
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cmd = [runtime_bin]
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cmd.extend(runtime_args)
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cmd.append(wasm_file)
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cmd.extend(wasm_args)
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try:
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p = subprocess.run(
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cmd,
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cwd=cwd,
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capture_output=True,
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check=True,
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text=True,
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universal_newlines=True,
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)
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return p.stdout
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except subprocess.CalledProcessError as e:
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print(e.stderr)
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print()
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print(e.stdout)
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def filter_output_tflite_birds_v1_image(output: str) -> List[str]:
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"""
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not all output is needed for comparision
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pick lines like: " 1.) [526](136)Cathartes burrovianus"
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"""
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filtered = []
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PATTERN = re.compile(r"^\s+\d\.\)\s+\[\d+\]\(\d+\)\w+")
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for line in output.split("\n"):
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if PATTERN.search(line):
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filtered.append(line.strip())
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return filtered
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def execute_tflite_birds_v1_image(iwasm_bin: str, wasmedge_bin: str, cwd: Path):
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iwasm_output = execute_tflite_birds_v1_image_once(
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iwasm_bin,
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[
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"--native-lib=/workspaces/wamr/product-mini/platforms/linux/build/libwasi-nn-tflite.so",
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"--map-dir=.:.",
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],
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cwd,
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)
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iwasm_output = filter_output_tflite_birds_v1_image(iwasm_output)
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wasmedge_output = execute_tflite_birds_v1_image_once(
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wasmedge_bin, ["--dir=.:."], cwd
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)
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wasmedge_output = filter_output_tflite_birds_v1_image(wasmedge_output)
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if iwasm_output == wasmedge_output:
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print("- tflite_birds_v1_image. PASS")
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return
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print("- tflite_birds_v1_image. FAILED")
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print("------------------------------------------------------------")
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pprint(iwasm_output)
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print("<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<")
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pprint(wasmedge_output)
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print("------------------------------------------------------------")
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def execute_wasmedge_wasinn_exmaples(iwasm_bin: str, wasmedge_bin: str):
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assert Path.cwd().name == "wasmedge-wasinn-examples"
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assert shutil.which(iwasm_bin)
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assert shutil.which(wasmedge_bin)
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tflite_birds_v1_image_dir = Path.cwd().joinpath("./tflite-birds_v1-image")
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execute_tflite_birds_v1_image(iwasm_bin, wasmedge_bin, tflite_birds_v1_image_dir)
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if __name__ == "__main__":
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execute_wasmedge_wasinn_exmaples("iwasm", "wasmedge")
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