Windows ML 入门

• .NET 6 或更高版本
• 面向特定于 Windows 10 的 TFM（例如 net6.0-windows10.0.19041.0 或更高版本）

C++20 或更高版本。

在 x64 和 ARM64 设备上，Python 版本 3.10 到 3.13。

请参阅 现有项目中的 Windows 应用 SDK ，了解如何将 Windows 应用 SDK 添加到项目，或者如果你已在使用 Windows 应用 SDK，请更新包。

请参阅 现有项目中的 Windows 应用 SDK ，了解如何将 Windows 应用 SDK 添加到项目，或者如果你已在使用 Windows 应用 SDK，请更新包。

Python 绑定利用适用于 Windows 应用 SDK 投影的 pywinrt 项目。 确保 Python 安装不是来自 Microsoft 应用商店（可以从 python.org 或通过 winget 安装未打包的版本）。 该示例依赖于使用 Windows 应用 SDK 动态依赖项 API，该 API 仅适用于未打包的应用。

请使用以下命令安装 python 包：

pip install wasdk-Microsoft.Windows.AI.MachineLearning[all] wasdk-Microsoft.Windows.ApplicationModel.DynamicDependency.Bootstrap
# The onnxruntime-winml package is not published to PyPI yet. Please install it from the ort-nightly feed
pip install --pre --index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ORT-Nightly/pypi/simple/ --extra-index-url https://pypi.org/simple onnxruntime-winml

请确保 wasdk- 包的版本与 WindowsAppRuntime 的版本匹配。

using Microsoft.ML.OnnxRuntime;
using Microsoft.Windows.AI.MachineLearning;

// First we create a new instance of EnvironmentCreationOptions
EnvironmentCreationOptions envOptions = new()
{
    logId = "WinMLDemo", // Use an ID of your own choice
    logLevel = OrtLoggingLevel.ORT_LOGGING_LEVEL_ERROR
};

// And then use that to create the ORT environment
using var ortEnv = OrtEnv.CreateInstanceWithOptions(ref envOptions);

// Get the default ExecutionProviderCatalog
var catalog = ExecutionProviderCatalog.GetDefault();

// Ensure and register all compatible execution providers with ONNX Runtime
// This downloads any necessary components and registers them
await catalog.EnsureAndRegisterCertifiedAsync();

#include <winrt/Microsoft.Windows.AI.MachineLearning.h>
#include <winml/onnxruntime_cxx_api.h>

// First we need to create an ORT environment
Ort::Env env(ORT_LOGGING_LEVEL_ERROR, "WinMLDemo"); // Use an ID of your own choice

// Get the default ExecutionProviderCatalog
winrt::Microsoft::Windows::AI::MachineLearning::ExecutionProviderCatalog catalog =
    winrt::Microsoft::Windows::AI::MachineLearning::ExecutionProviderCatalog::GetDefault();

// Ensure and register all compatible execution providers with ONNX Runtime
catalog.EnsureAndRegisterCertifiedAsync().get();

import sys
from pathlib import Path
import traceback

_winml_instance = None

class WinML:
    def __new__(cls, *args, **kwargs):
        global _winml_instance
        if _winml_instance is None:
            _winml_instance = super(WinML, cls).__new__(cls, *args, **kwargs)
            _winml_instance._initialized = False
        return _winml_instance

    def __init__(self):
        if self._initialized:
            return
        self._initialized = True

        self._fix_winrt_runtime()
        from winui3.microsoft.windows.applicationmodel.dynamicdependency.bootstrap import (
            InitializeOptions,
            initialize
        )
        import winui3.microsoft.windows.ai.machinelearning as winml
        self._win_app_sdk_handle = initialize(options=InitializeOptions.ON_NO_MATCH_SHOW_UI)
        self._win_app_sdk_handle.__enter__()
        catalog = winml.ExecutionProviderCatalog.get_default()
        self._providers = catalog.find_all_providers()
        self._ep_paths : dict[str, str] = {}
        for provider in self._providers:
            provider.ensure_ready_async().get()
            if provider.library_path == '':
                continue
            self._ep_paths[provider.name] = provider.library_path
        self._registered_eps : list[str] = []

    def __del__(self):
        self._providers = None
        self._win_app_sdk_handle.__exit__(None, None, None)

    def _fix_winrt_runtime(self):
        """
        This function removes the msvcp140.dll from the winrt-runtime package.
        So it does not cause issues with other libraries.
        """
        from importlib import metadata
        site_packages_path = Path(str(metadata.distribution('winrt-runtime').locate_file('')))
        dll_path = site_packages_path / 'winrt' / 'msvcp140.dll'
        if dll_path.exists():
            dll_path.unlink()

    def register_execution_providers_to_ort(self) -> list[str]:
        import onnxruntime as ort
        for name, path in self._ep_paths.items():
            if name not in self._registered_eps:
                try:
                    ort.register_execution_provider_library(name, path)
                    self._registered_eps.append(name)
                except Exception as e:
                    print(f"Failed to register execution provider {name}: {e}", file=sys.stderr)
                    traceback.print_exc()
        return self._registered_eps

WinML().register_execution_providers_to_ort()