Files
nearby/internal/platform/implementation/windows/generated/winrt/Microsoft.Windows.Internal.AI.Generative.h
T
2026-01-27 23:46:02 -08:00

148 lines
6.7 KiB
C++

// WARNING: Please don't edit this file. It was generated by C++/WinRT
// v2.0.250303.1
#pragma once
#ifndef WINRT_Microsoft_Windows_Internal_AI_Generative_H
#define WINRT_Microsoft_Windows_Internal_AI_Generative_H
#include "winrt/base.h"
static_assert(winrt::check_version(CPPWINRT_VERSION, "2.0.250303.1"),
"Mismatched C++/WinRT headers.");
#define CPPWINRT_VERSION "2.0.250303.1"
#include "winrt/impl/Microsoft.Windows.AI.GenerativeInternal.2.h"
#include "winrt/impl/Microsoft.Windows.Internal.AI.Generative.2.h"
#include "winrt/impl/Microsoft.Windows.PrivateCommon.2.h"
#include "winrt/impl/Windows.Foundation.2.h"
namespace winrt::impl {
#ifndef WINRT_LEAN_AND_MEAN
template <typename D>
struct produce<D, winrt::Microsoft::Windows::Internal::AI::Generative::
IImageDescriptionSessionResult>
: produce_base<D, winrt::Microsoft::Windows::Internal::AI::Generative::
IImageDescriptionSessionResult> {};
#endif
#ifndef WINRT_LEAN_AND_MEAN
template <typename D>
struct produce<D, winrt::Microsoft::Windows::Internal::AI::Generative::
ILanguageModelAdapterWrapper>
: produce_base<D, winrt::Microsoft::Windows::Internal::AI::Generative::
ILanguageModelAdapterWrapper> {};
#endif
#ifndef WINRT_LEAN_AND_MEAN
template <typename D>
struct produce<D, winrt::Microsoft::Windows::Internal::AI::Generative::
ILanguageModelContextWrapper>
: produce_base<D, winrt::Microsoft::Windows::Internal::AI::Generative::
ILanguageModelContextWrapper> {};
#endif
} // namespace winrt::impl
WINRT_EXPORT namespace winrt::Microsoft::Windows::Internal::AI::Generative {
inline ImageDescriptionSession::ImageDescriptionSession()
: ImageDescriptionSession(
impl::call_factory_cast<
ImageDescriptionSession (*)(
winrt::Windows::Foundation::IActivationFactory const&),
ImageDescriptionSession>(
[](winrt::Windows::Foundation::IActivationFactory const& f) {
return f.template ActivateInstance<ImageDescriptionSession>();
})) {}
inline ImageLLMAdapterSession::ImageLLMAdapterSession()
: ImageLLMAdapterSession(
impl::call_factory_cast<
ImageLLMAdapterSession (*)(
winrt::Windows::Foundation::IActivationFactory const&),
ImageLLMAdapterSession>(
[](winrt::Windows::Foundation::IActivationFactory const& f) {
return f.template ActivateInstance<ImageLLMAdapterSession>();
})) {}
inline LanguageModelAdapterWrapper::LanguageModelAdapterWrapper()
: LanguageModelAdapterWrapper(
impl::call_factory_cast<
LanguageModelAdapterWrapper (*)(
winrt::Windows::Foundation::IActivationFactory const&),
LanguageModelAdapterWrapper>(
[](winrt::Windows::Foundation::IActivationFactory const& f) {
return f
.template ActivateInstance<LanguageModelAdapterWrapper>();
})) {}
inline LanguageModelContextWrapper::LanguageModelContextWrapper()
: LanguageModelContextWrapper(
impl::call_factory_cast<
LanguageModelContextWrapper (*)(
winrt::Windows::Foundation::IActivationFactory const&),
LanguageModelContextWrapper>(
[](winrt::Windows::Foundation::IActivationFactory const& f) {
return f
.template ActivateInstance<LanguageModelContextWrapper>();
})) {}
inline LanguageModelSession::LanguageModelSession()
: LanguageModelSession(
impl::call_factory_cast<
LanguageModelSession (*)(
winrt::Windows::Foundation::IActivationFactory const&),
LanguageModelSession>(
[](winrt::Windows::Foundation::IActivationFactory const& f) {
return f.template ActivateInstance<LanguageModelSession>();
})) {}
inline PhiLanguageModelSession::PhiLanguageModelSession()
: PhiLanguageModelSession(
impl::call_factory_cast<
PhiLanguageModelSession (*)(
winrt::Windows::Foundation::IActivationFactory const&),
PhiLanguageModelSession>(
[](winrt::Windows::Foundation::IActivationFactory const& f) {
return f.template ActivateInstance<PhiLanguageModelSession>();
})) {}
inline SettingsModelSession::SettingsModelSession()
: SettingsModelSession(
impl::call_factory_cast<
SettingsModelSession (*)(
winrt::Windows::Foundation::IActivationFactory const&),
SettingsModelSession>(
[](winrt::Windows::Foundation::IActivationFactory const& f) {
return f.template ActivateInstance<SettingsModelSession>();
})) {}
}
namespace std {
#ifndef WINRT_LEAN_AND_MEAN
template <>
struct hash<winrt::Microsoft::Windows::Internal::AI::Generative::
IImageDescriptionSessionResult> : winrt::impl::hash_base {};
template <>
struct hash<winrt::Microsoft::Windows::Internal::AI::Generative::
ILanguageModelAdapterWrapper> : winrt::impl::hash_base {};
template <>
struct hash<winrt::Microsoft::Windows::Internal::AI::Generative::
ILanguageModelContextWrapper> : winrt::impl::hash_base {};
template <>
struct hash<winrt::Microsoft::Windows::Internal::AI::Generative::
ImageDescriptionSession> : winrt::impl::hash_base {};
template <>
struct hash<winrt::Microsoft::Windows::Internal::AI::Generative::
ImageDescriptionSessionResult> : winrt::impl::hash_base {};
template <>
struct hash<
winrt::Microsoft::Windows::Internal::AI::Generative::ImageLLMAdapterSession>
: winrt::impl::hash_base {};
template <>
struct hash<winrt::Microsoft::Windows::Internal::AI::Generative::
LanguageModelAdapterWrapper> : winrt::impl::hash_base {};
template <>
struct hash<winrt::Microsoft::Windows::Internal::AI::Generative::
LanguageModelContextWrapper> : winrt::impl::hash_base {};
template <>
struct hash<
winrt::Microsoft::Windows::Internal::AI::Generative::LanguageModelSession>
: winrt::impl::hash_base {};
template <>
struct hash<winrt::Microsoft::Windows::Internal::AI::Generative::
PhiLanguageModelSession> : winrt::impl::hash_base {};
template <>
struct hash<
winrt::Microsoft::Windows::Internal::AI::Generative::SettingsModelSession>
: winrt::impl::hash_base {};
#endif
#ifdef __cpp_lib_format
#endif
} // namespace std
#endif