# Windows ML

[Windows ML](https://learn.microsoft.com/en-us/windows/ai/new-windows-ml/api-reference?tabs=csharp) 은 <cite>Microsoft.Windows.AI.MachineLearning</cite> 패키지의 일부이며 Windows AI Foundry의 AI 추론 코어 역할을 합니다. Windows AI API 또는 Foundry Local 모델을 사용하여 AI 워크로드가 원활하게 실행되므로, 개발자는 기기 기능을 모델 추론에 활용할 수 있습니다. 개발자는 사용자 지정 모델 및 세밀한 제어를 위해 Windows ML을 직접 사용할 수 있습니다. 다양한 하드웨어(CPU, GPU, NPU)에서 ONNX 모델을 지원하며, 하드웨어 및 실행 제공자를 추상화하므로 개발자가 애플리케이션 개발에 집중할 수 있습니다.

Windows ML은 다양한 하드웨어 지원을 간소화하여 여러 가지 문제를 해결하므로, 기기 호환성을 제한하지 않으면서 여러 벤더 전반의 AI 경험을 가능하게 합니다. 또한 AI 모델, Runtime, 실행 제공자별 도구를 통합적으로 관리하여 종속요소를 유지관리하고 업데이트하는 데 드는 개발자의 부담을 줄여줍니다. Windows ML은 AI 워크로드를 최적화하여 자동으로 가장 적합한 하드웨어를 선택하고, 로드 밸런싱을 수행하고 성능을 향상합니다. 요약하면, Windows ML은 통합된 고성능 로컬 추론 프레임워크로, 독립 하드웨어 벤더(IHV) 에코시스템 전반에 걸친 최적화를 특징으로 합니다.

아래의 튜토리얼은 Qualcomm Snapdragon X 플랫폼에서 mobilenet\_v2.onnx 모델의 BYOM 실행에 Windows ML을 사용합니다.

## Windows ML로 ONNX 모델 실행

이 섹션에서는 Windows ML을 사용하여 Snapdragon 플랫폼의 워크로드를 가속화하는 방법을 보여줍니다. AI 작업을 실행하기 위해 CPU, GPU 또는 NPU Runtime을 선택할 수 있는 옵션이 제공됩니다.

### 설정

관리자 모드로 PowerShell을 열고 다음 명령어를 실행하여 종속요소를 설치하세요. 이 설정은 튜토리얼에 필요하며 5분 정도 소요됩니다. 설정에 대한 자세한 내용은 [winml_setup.ps1](https://raw.githubusercontent.com/quic/wos-ai/refs/heads/main/Scripts/winml_setup.ps1) 을 참조하세요.

1. $DIR\_PATH(기본값: `C:\\WoS_AI`)를 설정하면 사용자가 원하는 경로로 변경할 수 있습니다.

$DIR_PATH  = "C:\WoS_AI"
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2. 다음 명령어를 실행하여 설정 스크립트를 다운로드합니다. 이미 다운로드한 경우 이 단계를 건너뛸 수 있습니다.

if (!(Test-Path $DIR_PATH\Downloads\Setup_Scripts)) {mkdir $DIR_PATH\Downloads\Setup_Scripts}
        Invoke-WebRequest -O winml_setup.ps1 https://raw.githubusercontent.com/quic/wos-ai/refs/heads/main/Scripts/winml_setup.ps1
        Move-Item -Path ".\winml_setup.ps1" -Destination $DIR_PATH\Downloads\Setup_Scripts -Force
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3. 다음 명령어를 실행하여 Windows ML용 종속요소를 설치합니다.

    Windows ML 설정:

cd $DIR_PATH
        powershell -command "&{. .\Downloads\Setup_Scripts\winml_setup.ps1; WinML_Setup -rootDirPath $DIR_PATH}"
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    다음과 같은 종속요소가 다운로드되고 설치됩니다.

> 
> 
> - Python amd64 버전 3.12.6
>     - 모델 아티팩트에는 mobilenet\_v2.onnx 모델과 전처리/후처리를 위한 io\_utils.py가 있습니다.
>     - Visual Studio 재배포 가능 버전 14.44.35208 이상
>     - Windows ML에 필요한 라이브러리로 가상 환경(SDX\_WinML\_ENV)을 생성합니다.
>     - onnxruntime-winml 버전 1.22.0

참고

    - 이 환경에서는 다른 onnxruntime 버전을 설치하지 마세요. setup.ps1 스크립트는 필요한 onnxruntime-winml을 이미 설치한 상태입니다. 다른 버전을 설치하면 잘못된 onnxruntime 버전을 불러와 문제가 발생할 수 있습니다.
    - 시스템에서 스크립트 실행이 비활성화되어 있다면, 아래와 같이 명령어를 실행한 후 ‘A’(모든 항목에 대해 예)를 입력합니다.

> 
> 
> Set-ExecutionPolicy RemoteSigned
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4. 설정이 완료되면 $DIR\_PATH의 폴더 구조는 다음과 같이 구성됩니다.

![../../_images/folders_structure_ort.png](data:image/png;base64,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)
    - Downloads: 이 폴더에는 Python 설치 프로그램, 설정 스크립트 등 설정을 완료하는 데 필요한 모든 파일이 저장됩니다.
    - Python\_Env: 이 디렉토리에는 EP용으로 생성한 가상 환경(SDX\_WinML\_ENV)이 있습니다.
    - Debug\_Logs: 이 디렉토리에는 설정에 해당하는 로그가 있습니다.
    - Models: 이 디렉토리에는 모델 하위 디렉토리와 해당 아티팩트(예: Mobilenet\_v2)가 보관됩니다.

### Windows ML 튜토리얼

이 튜토리얼에서는 NPU, GPU, CPU를 비롯한 Qualcomm Snapdragon 하드웨어에서 분류 모델(Mobilenet\_v2.onnx)을 실행하기 위한 Windows ML의 사용법을 설명합니다. 아래의 예시는 NPU 백엔드에서 모델을 실행하는 방법을 보여줍니다.

1. PowerShell을 열고 다음 명령어를 실행하여 $DIR\_PATH를 설정하고 Python 가상 환경을 활성화합니다. $DIR\_PATH는 설정 중에 사용된 경로와 같아야 합니다.

${DIR_PATH} = "C:\WoS_AI"
        powershell -NoExit -command "&{cd $DIR_PATH; . .\Downloads\Setup_Scripts\winml_setup.ps1; Activate_WinML_VENV -rootDirPath $DIR_PATH}"
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2. 다음 명령어를 실행하여 작업 디렉토리에 winml.py 파일을 생성합니다.

notepad.exe winml.py
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3. 다음 코드를 *winml.py* 파일에 복사하고 저장합니다.

# File_name : winml.py
        
        import onnxruntime as ort
        import numpy as np
        import os
        import time
        #Qualcomm utility for pre-/postprocessing of input/outputs in model inference
        import io_utils
        
        # Step1: Runtime and model initialization
        
        options = ort.SessionOptions()
        options.set_provider_selection_policy(ort.OrtExecutionProviderDevicePolicy.PREFER_NPU)
        
        # model path
        onnx_model_path = "mobilenet_v2.onnx"
        
        # Create inference session
        session = ort.InferenceSession(onnx_model_path, sess_options=options)
        
        # Step2: Input/Output handling, Generate raw input
        # github repo for below artifact: https://github.com/quic/wos-ai/tree/main/Artifacts
        img_path = "https://raw.githubusercontent.com/quic/wos-ai/refs/heads/main/Artifacts/coffee_cup.jpg"
        
        raw_img = io_utils.preprocess(img_path)
        
        # Model input and output names
        outputs = session.get_outputs()[0].name
        inputs = session.get_inputs()[0].name
        
        # Step3: Model inferencing using preprocessed input.
        iteration =100
        start_time = time.time()
        for i in range(iteration):
           prediction = session.run([outputs], {inputs: raw_img})
        end_time = time.time()
        execution_time = ((end_time-start_time) * 1000)/iteration
        
        # Step4: Output postprocessing
        io_utils.postprocess(prediction)
        print("\nExecution Time: ", execution_time, "ms")
        print("\n")
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4. 작업 디렉토리에서 *winml.py* python 스크립트를 실행하려 모델을 실행합니다.

python .\winml.py
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    이 스크립트는 Python 유틸리티를 사용하여 지정된 .jpg 이미지를 모델의 요구사항에 맞게 전처리하고 추론을 위해 이를 전송합니다. 이후 Windows ML 추론 결과를 처리하여, 아래 예시와 같이 식별된 객체의 클래스와 확률을 표시합니다.

![../../_images/winml_online.png](data:image/png;base64,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참고

‘Failed to create DXGI factory’ 메시지는 무시하시기 바랍니다.

참고

NPU 백엔드의 경우, 모델 컴파일은 두 가지 모드로 제공됩니다.

> 
> 
> - 온라인 모드는 위에서 설명한 대로 Runtime에 그래프를 준비하며 초기화 시간이 최소화된 모델에 가장 적합합니다.
>     - 오프라인 모드는 그래프가 모델(컨텍스트 바이너리)과 함께 준비되고 캐시되므로 로딩 시간이 더 빠르며 프로덕션 환경에 이상적입니다.

다음과 같이 컨텍스트 바이너리를 생성하고 추론을 수행할 수 있습니다.

> 
> 
> import onnxruntime as ort
>         
>         # Session Creation
>         options = ort.SessionOptions()
>         options.set_provider_selection_policy(ort.OrtExecutionProviderDevicePolicy.PREFER_NPU)
>         
>         # model path
>         onnx_model_path  = "mobilenet_v2.onnx"
>         compile_onnx_model_path = "mobilenet_v2_winml_qnn_ctx.onnx"
>         
>         # Compile the model.
>         print("\nCompiling the model for offline execution : ...")
>         model_compiler = ort.ModelCompiler(
>            options,
>            onnx_model_path,
>            embed_compiled_data_into_model=True,
>            external_initializers_file_path=None,
>         )
>         model_compiler.compile_to_file(compile_onnx_model_path)
>         print(f"\nContext binary model is saved at : {compile_onnx_model_path}\n")
>         Copy to clipboard

위의 스크립트는 `mobilenet_v2_winml_qnn_ctx.onnx` 컨텍스트 바이너리 모델을 생성합니다. 컨텍스트 바이너리가 생성되면 다음과 같이 `winml.py` 에서 이 바이너리 모델의 경로를 전달하여 `mobilenet_v2_winml_qnn_ctx.onnx` 모델로 추론을 수행할 수 있습니다.

> 
> 
> # Change the onnx_model_path in the winml.py
>         onnx_model_path = "mobilenet_v2_winml_qnn_ctx.onnx"
>         Copy to clipboard

참고

GPU 또는 CPU Runtime에서 ONNX 모델을 실행하려면 `onnx_model_path` 를 기본 모델로 업데이트하고 winml.py 스크립트의 `ortExecutionProviderDevicePolicy` 옵션을 다음과 같이 설정합니다.

# Update the model path
        onnx_model_path = "mobilenet_v2.onnx"
        
        # For GPU runtime
        options.set_provider_selection_policy(ort.OrtExecutionProviderDevicePolicy.PREFER_GPU)
        
        # For CPU runtime
        options.set_provider_selection_policy(ort.OrtExecutionProviderDevicePolicy.PREFER_CPU)
        Copy to clipboard

## 추가 세부 정보

> 
> 
> - [Microsoft WinML Nuget 릴리스](https://www.nuget.org/packages/Microsoft.Windows.AI.MachineLearning)
> - [C++ 샘플 앱 빌드 방법](https://github.com/microsoft/Build25-BRK225/tree/main/src/CPP/CppResnetBuildDemo)

## FAQ

- **지원되는 Python 버전은 무엇인가요?**

> 
> 
> - Windows ML에는 Python amd64 버전 3.10.x~3.13.x가 필요합니다.
> 
> 
> 
> > 
> > 
> > - 튜토리얼 예시는 [python-3.12.6-amd64](https://www.python.org/ftp/python/3.12.6/python-3.12.6-amd64.exe) 로 검증되었습니다.
- **C/C++를 사용하여 추론을 실행하려면 어떻게 해야 하나요?**

> 
> 
> - C/C++를 사용하여 추론을 실행하려면 이 [예시](https://github.com/microsoft/Build25-BRK225/tree/main/src/CPP/CppResnetBuildDemo) 를 사용하세요.
- **기기에서 Runtime 또는 하드웨어 사용 가능 여부를 확인하는 방법은 무엇인가요?**

    - 아래 코드를 통해 기기내 사용 가능한 다양한 하드웨어를 확인할 수 있습니다.

> 
> 
> import onnxruntime as ort
>         
>         # get the available execution provider devices details
>         ep_devices = ort.get_ep_devices()
>         for ep in ep_devices:
>            print(ep.ep_name, ep.device.type)
>         Copy to clipboard
- **임의의 모델을 onnx로 변환하려면 어떻게 하나요?**

    - 모델을 onnx 형식으로 변환하려면 [여기](https://code.visualstudio.com/docs/intelligentapps/modelconversion) 에 나와 있는 튜토리얼을 따르세요.
- **Windows ML을 사용하여 모델을 양자화하고 실행하려면 어떻게 하나요?**

    - [Olive](https://github.com/microsoft/Olive/tree/main/examples/vit) 는 모델 양자화, 최적화, 컨텍스트 바이너리 생성에 사용됩니다. 컨텍스트 바이너리 모델은 위의 실행 스크립트를 사용하여 실행할 수 있습니다.
- **컨텍스트 바이너리 기능에 대해 자세히 알고 싶으신가요?**

    - 컨텍스트 바이너리 기능에 대한 자세한 내용은 [컨텍스트 바이너리](https://onnxruntime.ai/docs/execution-providers/QNN-ExecutionProvider.html#qnn-context-binary-cache-feature) 에서 확인할 수 있습니다.

Last Published: Jan 13, 2026

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