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nearby/cpp/platform/impl/windows/generated/winrt/Windows.AI.MachineLearning.Preview.h
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// WARNING: Please don't edit this file. It was generated by C++/WinRT v2.0.210930.14
#pragma once
#ifndef WINRT_Windows_AI_MachineLearning_Preview_H
#define WINRT_Windows_AI_MachineLearning_Preview_H
#include "winrt/base.h"
static_assert(winrt::check_version(CPPWINRT_VERSION, "2.0.210930.14"), "Mismatched C++/WinRT headers.");
#define CPPWINRT_VERSION "2.0.210930.14"
#include "winrt/Windows.AI.MachineLearning.h"
#include "winrt/impl/Windows.Foundation.2.h"
#include "winrt/impl/Windows.Foundation.Collections.2.h"
#include "winrt/impl/Windows.Graphics.Imaging.2.h"
#include "winrt/impl/Windows.Storage.2.h"
#include "winrt/impl/Windows.Storage.Streams.2.h"
#include "winrt/impl/Windows.AI.MachineLearning.Preview.2.h"
namespace winrt::impl
{
template <typename D> WINRT_IMPL_AUTO(winrt::Windows::Graphics::Imaging::BitmapPixelFormat) consume_Windows_AI_MachineLearning_Preview_IImageVariableDescriptorPreview<D>::BitmapPixelFormat() const
{
winrt::Windows::Graphics::Imaging::BitmapPixelFormat value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::IImageVariableDescriptorPreview)->get_BitmapPixelFormat(reinterpret_cast<int32_t*>(&value)));
return value;
}
template <typename D> WINRT_IMPL_AUTO(uint32_t) consume_Windows_AI_MachineLearning_Preview_IImageVariableDescriptorPreview<D>::Width() const
{
uint32_t value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::IImageVariableDescriptorPreview)->get_Width(&value));
return value;
}
template <typename D> WINRT_IMPL_AUTO(uint32_t) consume_Windows_AI_MachineLearning_Preview_IImageVariableDescriptorPreview<D>::Height() const
{
uint32_t value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::IImageVariableDescriptorPreview)->get_Height(&value));
return value;
}
template <typename D> WINRT_IMPL_AUTO(winrt::Windows::AI::MachineLearning::Preview::LearningModelDeviceKindPreview) consume_Windows_AI_MachineLearning_Preview_IInferencingOptionsPreview<D>::PreferredDeviceKind() const
{
winrt::Windows::AI::MachineLearning::Preview::LearningModelDeviceKindPreview value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::IInferencingOptionsPreview)->get_PreferredDeviceKind(reinterpret_cast<int32_t*>(&value)));
return value;
}
template <typename D> WINRT_IMPL_AUTO(void) consume_Windows_AI_MachineLearning_Preview_IInferencingOptionsPreview<D>::PreferredDeviceKind(winrt::Windows::AI::MachineLearning::Preview::LearningModelDeviceKindPreview const& value) const
{
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::IInferencingOptionsPreview)->put_PreferredDeviceKind(static_cast<int32_t>(value)));
}
template <typename D> WINRT_IMPL_AUTO(bool) consume_Windows_AI_MachineLearning_Preview_IInferencingOptionsPreview<D>::IsTracingEnabled() const
{
bool value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::IInferencingOptionsPreview)->get_IsTracingEnabled(&value));
return value;
}
template <typename D> WINRT_IMPL_AUTO(void) consume_Windows_AI_MachineLearning_Preview_IInferencingOptionsPreview<D>::IsTracingEnabled(bool value) const
{
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::IInferencingOptionsPreview)->put_IsTracingEnabled(value));
}
template <typename D> WINRT_IMPL_AUTO(int32_t) consume_Windows_AI_MachineLearning_Preview_IInferencingOptionsPreview<D>::MaxBatchSize() const
{
int32_t value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::IInferencingOptionsPreview)->get_MaxBatchSize(&value));
return value;
}
template <typename D> WINRT_IMPL_AUTO(void) consume_Windows_AI_MachineLearning_Preview_IInferencingOptionsPreview<D>::MaxBatchSize(int32_t value) const
{
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::IInferencingOptionsPreview)->put_MaxBatchSize(value));
}
template <typename D> WINRT_IMPL_AUTO(bool) consume_Windows_AI_MachineLearning_Preview_IInferencingOptionsPreview<D>::MinimizeMemoryAllocation() const
{
bool value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::IInferencingOptionsPreview)->get_MinimizeMemoryAllocation(&value));
return value;
}
template <typename D> WINRT_IMPL_AUTO(void) consume_Windows_AI_MachineLearning_Preview_IInferencingOptionsPreview<D>::MinimizeMemoryAllocation(bool value) const
{
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::IInferencingOptionsPreview)->put_MinimizeMemoryAllocation(value));
}
template <typename D> WINRT_IMPL_AUTO(bool) consume_Windows_AI_MachineLearning_Preview_IInferencingOptionsPreview<D>::ReclaimMemoryAfterEvaluation() const
{
bool value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::IInferencingOptionsPreview)->get_ReclaimMemoryAfterEvaluation(&value));
return value;
}
template <typename D> WINRT_IMPL_AUTO(void) consume_Windows_AI_MachineLearning_Preview_IInferencingOptionsPreview<D>::ReclaimMemoryAfterEvaluation(bool value) const
{
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::IInferencingOptionsPreview)->put_ReclaimMemoryAfterEvaluation(value));
}
template <typename D> WINRT_IMPL_AUTO(void) consume_Windows_AI_MachineLearning_Preview_ILearningModelBindingPreview<D>::Bind(param::hstring const& name, winrt::Windows::Foundation::IInspectable const& value) const
{
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::ILearningModelBindingPreview)->Bind(*(void**)(&name), *(void**)(&value)));
}
template <typename D> WINRT_IMPL_AUTO(void) consume_Windows_AI_MachineLearning_Preview_ILearningModelBindingPreview<D>::Bind(param::hstring const& name, winrt::Windows::Foundation::IInspectable const& value, winrt::Windows::Foundation::Collections::IPropertySet const& metadata) const
{
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::ILearningModelBindingPreview)->BindWithProperties(*(void**)(&name), *(void**)(&value), *(void**)(&metadata)));
}
template <typename D> WINRT_IMPL_AUTO(void) consume_Windows_AI_MachineLearning_Preview_ILearningModelBindingPreview<D>::Clear() const
{
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::ILearningModelBindingPreview)->Clear());
}
template <typename D> WINRT_IMPL_AUTO(winrt::Windows::AI::MachineLearning::Preview::LearningModelBindingPreview) consume_Windows_AI_MachineLearning_Preview_ILearningModelBindingPreviewFactory<D>::CreateFromModel(winrt::Windows::AI::MachineLearning::Preview::LearningModelPreview const& model) const
{
void* value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::ILearningModelBindingPreviewFactory)->CreateFromModel(*(void**)(&model), &value));
return winrt::Windows::AI::MachineLearning::Preview::LearningModelBindingPreview{ value, take_ownership_from_abi };
}
template <typename D> WINRT_IMPL_AUTO(hstring) consume_Windows_AI_MachineLearning_Preview_ILearningModelDescriptionPreview<D>::Author() const
{
void* value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::ILearningModelDescriptionPreview)->get_Author(&value));
return hstring{ value, take_ownership_from_abi };
}
template <typename D> WINRT_IMPL_AUTO(hstring) consume_Windows_AI_MachineLearning_Preview_ILearningModelDescriptionPreview<D>::Name() const
{
void* value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::ILearningModelDescriptionPreview)->get_Name(&value));
return hstring{ value, take_ownership_from_abi };
}
template <typename D> WINRT_IMPL_AUTO(hstring) consume_Windows_AI_MachineLearning_Preview_ILearningModelDescriptionPreview<D>::Domain() const
{
void* value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::ILearningModelDescriptionPreview)->get_Domain(&value));
return hstring{ value, take_ownership_from_abi };
}
template <typename D> WINRT_IMPL_AUTO(hstring) consume_Windows_AI_MachineLearning_Preview_ILearningModelDescriptionPreview<D>::Description() const
{
void* value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::ILearningModelDescriptionPreview)->get_Description(&value));
return hstring{ value, take_ownership_from_abi };
}
template <typename D> WINRT_IMPL_AUTO(int64_t) consume_Windows_AI_MachineLearning_Preview_ILearningModelDescriptionPreview<D>::Version() const
{
int64_t value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::ILearningModelDescriptionPreview)->get_Version(&value));
return value;
}
template <typename D> WINRT_IMPL_AUTO(winrt::Windows::Foundation::Collections::IMapView<hstring, hstring>) consume_Windows_AI_MachineLearning_Preview_ILearningModelDescriptionPreview<D>::Metadata() const
{
void* value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::ILearningModelDescriptionPreview)->get_Metadata(&value));
return winrt::Windows::Foundation::Collections::IMapView<hstring, hstring>{ value, take_ownership_from_abi };
}
template <typename D> WINRT_IMPL_AUTO(winrt::Windows::Foundation::Collections::IIterable<winrt::Windows::AI::MachineLearning::Preview::ILearningModelVariableDescriptorPreview>) consume_Windows_AI_MachineLearning_Preview_ILearningModelDescriptionPreview<D>::InputFeatures() const
{
void* value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::ILearningModelDescriptionPreview)->get_InputFeatures(&value));
return winrt::Windows::Foundation::Collections::IIterable<winrt::Windows::AI::MachineLearning::Preview::ILearningModelVariableDescriptorPreview>{ value, take_ownership_from_abi };
}
template <typename D> WINRT_IMPL_AUTO(winrt::Windows::Foundation::Collections::IIterable<winrt::Windows::AI::MachineLearning::Preview::ILearningModelVariableDescriptorPreview>) consume_Windows_AI_MachineLearning_Preview_ILearningModelDescriptionPreview<D>::OutputFeatures() const
{
void* value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::ILearningModelDescriptionPreview)->get_OutputFeatures(&value));
return winrt::Windows::Foundation::Collections::IIterable<winrt::Windows::AI::MachineLearning::Preview::ILearningModelVariableDescriptorPreview>{ value, take_ownership_from_abi };
}
template <typename D> WINRT_IMPL_AUTO(hstring) consume_Windows_AI_MachineLearning_Preview_ILearningModelEvaluationResultPreview<D>::CorrelationId() const
{
void* correlationId{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::ILearningModelEvaluationResultPreview)->get_CorrelationId(&correlationId));
return hstring{ correlationId, take_ownership_from_abi };
}
template <typename D> WINRT_IMPL_AUTO(winrt::Windows::Foundation::Collections::IMapView<hstring, winrt::Windows::Foundation::IInspectable>) consume_Windows_AI_MachineLearning_Preview_ILearningModelEvaluationResultPreview<D>::Outputs() const
{
void* value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::ILearningModelEvaluationResultPreview)->get_Outputs(&value));
return winrt::Windows::Foundation::Collections::IMapView<hstring, winrt::Windows::Foundation::IInspectable>{ value, take_ownership_from_abi };
}
template <typename D> WINRT_IMPL_AUTO(winrt::Windows::Foundation::IAsyncOperation<winrt::Windows::AI::MachineLearning::Preview::LearningModelEvaluationResultPreview>) consume_Windows_AI_MachineLearning_Preview_ILearningModelPreview<D>::EvaluateAsync(winrt::Windows::AI::MachineLearning::Preview::LearningModelBindingPreview const& binding, param::hstring const& correlationId) const
{
void* evalOperation{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::ILearningModelPreview)->EvaluateAsync(*(void**)(&binding), *(void**)(&correlationId), &evalOperation));
return winrt::Windows::Foundation::IAsyncOperation<winrt::Windows::AI::MachineLearning::Preview::LearningModelEvaluationResultPreview>{ evalOperation, take_ownership_from_abi };
}
template <typename D> WINRT_IMPL_AUTO(winrt::Windows::Foundation::IAsyncOperation<winrt::Windows::AI::MachineLearning::Preview::LearningModelEvaluationResultPreview>) consume_Windows_AI_MachineLearning_Preview_ILearningModelPreview<D>::EvaluateFeaturesAsync(param::map<hstring, winrt::Windows::Foundation::IInspectable> const& features, param::hstring const& correlationId) const
{
void* evalOperation{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::ILearningModelPreview)->EvaluateFeaturesAsync(*(void**)(&features), *(void**)(&correlationId), &evalOperation));
return winrt::Windows::Foundation::IAsyncOperation<winrt::Windows::AI::MachineLearning::Preview::LearningModelEvaluationResultPreview>{ evalOperation, take_ownership_from_abi };
}
template <typename D> WINRT_IMPL_AUTO(winrt::Windows::AI::MachineLearning::Preview::LearningModelDescriptionPreview) consume_Windows_AI_MachineLearning_Preview_ILearningModelPreview<D>::Description() const
{
void* returnValue{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::ILearningModelPreview)->get_Description(&returnValue));
return winrt::Windows::AI::MachineLearning::Preview::LearningModelDescriptionPreview{ returnValue, take_ownership_from_abi };
}
template <typename D> WINRT_IMPL_AUTO(winrt::Windows::AI::MachineLearning::Preview::InferencingOptionsPreview) consume_Windows_AI_MachineLearning_Preview_ILearningModelPreview<D>::InferencingOptions() const
{
void* value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::ILearningModelPreview)->get_InferencingOptions(&value));
return winrt::Windows::AI::MachineLearning::Preview::InferencingOptionsPreview{ value, take_ownership_from_abi };
}
template <typename D> WINRT_IMPL_AUTO(void) consume_Windows_AI_MachineLearning_Preview_ILearningModelPreview<D>::InferencingOptions(winrt::Windows::AI::MachineLearning::Preview::InferencingOptionsPreview const& value) const
{
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::ILearningModelPreview)->put_InferencingOptions(*(void**)(&value)));
}
template <typename D> WINRT_IMPL_AUTO(winrt::Windows::Foundation::IAsyncOperation<winrt::Windows::AI::MachineLearning::Preview::LearningModelPreview>) consume_Windows_AI_MachineLearning_Preview_ILearningModelPreviewStatics<D>::LoadModelFromStorageFileAsync(winrt::Windows::Storage::IStorageFile const& modelFile) const
{
void* modelCreationOperation{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::ILearningModelPreviewStatics)->LoadModelFromStorageFileAsync(*(void**)(&modelFile), &modelCreationOperation));
return winrt::Windows::Foundation::IAsyncOperation<winrt::Windows::AI::MachineLearning::Preview::LearningModelPreview>{ modelCreationOperation, take_ownership_from_abi };
}
template <typename D> WINRT_IMPL_AUTO(winrt::Windows::Foundation::IAsyncOperation<winrt::Windows::AI::MachineLearning::Preview::LearningModelPreview>) consume_Windows_AI_MachineLearning_Preview_ILearningModelPreviewStatics<D>::LoadModelFromStreamAsync(winrt::Windows::Storage::Streams::IRandomAccessStreamReference const& modelStream) const
{
void* modelCreationOperation{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::ILearningModelPreviewStatics)->LoadModelFromStreamAsync(*(void**)(&modelStream), &modelCreationOperation));
return winrt::Windows::Foundation::IAsyncOperation<winrt::Windows::AI::MachineLearning::Preview::LearningModelPreview>{ modelCreationOperation, take_ownership_from_abi };
}
template <typename D> WINRT_IMPL_AUTO(hstring) consume_Windows_AI_MachineLearning_Preview_ILearningModelVariableDescriptorPreview<D>::Name() const
{
void* value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::ILearningModelVariableDescriptorPreview)->get_Name(&value));
return hstring{ value, take_ownership_from_abi };
}
template <typename D> WINRT_IMPL_AUTO(hstring) consume_Windows_AI_MachineLearning_Preview_ILearningModelVariableDescriptorPreview<D>::Description() const
{
void* value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::ILearningModelVariableDescriptorPreview)->get_Description(&value));
return hstring{ value, take_ownership_from_abi };
}
template <typename D> WINRT_IMPL_AUTO(winrt::Windows::AI::MachineLearning::Preview::LearningModelFeatureKindPreview) consume_Windows_AI_MachineLearning_Preview_ILearningModelVariableDescriptorPreview<D>::ModelFeatureKind() const
{
winrt::Windows::AI::MachineLearning::Preview::LearningModelFeatureKindPreview value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::ILearningModelVariableDescriptorPreview)->get_ModelFeatureKind(reinterpret_cast<int32_t*>(&value)));
return value;
}
template <typename D> WINRT_IMPL_AUTO(bool) consume_Windows_AI_MachineLearning_Preview_ILearningModelVariableDescriptorPreview<D>::IsRequired() const
{
bool value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::ILearningModelVariableDescriptorPreview)->get_IsRequired(&value));
return value;
}
template <typename D> WINRT_IMPL_AUTO(winrt::Windows::AI::MachineLearning::Preview::FeatureElementKindPreview) consume_Windows_AI_MachineLearning_Preview_IMapVariableDescriptorPreview<D>::KeyKind() const
{
winrt::Windows::AI::MachineLearning::Preview::FeatureElementKindPreview value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::IMapVariableDescriptorPreview)->get_KeyKind(reinterpret_cast<int32_t*>(&value)));
return value;
}
template <typename D> WINRT_IMPL_AUTO(winrt::Windows::Foundation::Collections::IIterable<hstring>) consume_Windows_AI_MachineLearning_Preview_IMapVariableDescriptorPreview<D>::ValidStringKeys() const
{
void* value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::IMapVariableDescriptorPreview)->get_ValidStringKeys(&value));
return winrt::Windows::Foundation::Collections::IIterable<hstring>{ value, take_ownership_from_abi };
}
template <typename D> WINRT_IMPL_AUTO(winrt::Windows::Foundation::Collections::IIterable<int64_t>) consume_Windows_AI_MachineLearning_Preview_IMapVariableDescriptorPreview<D>::ValidIntegerKeys() const
{
void* value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::IMapVariableDescriptorPreview)->get_ValidIntegerKeys(&value));
return winrt::Windows::Foundation::Collections::IIterable<int64_t>{ value, take_ownership_from_abi };
}
template <typename D> WINRT_IMPL_AUTO(winrt::Windows::AI::MachineLearning::Preview::ILearningModelVariableDescriptorPreview) consume_Windows_AI_MachineLearning_Preview_IMapVariableDescriptorPreview<D>::Fields() const
{
void* value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::IMapVariableDescriptorPreview)->get_Fields(&value));
return winrt::Windows::AI::MachineLearning::Preview::ILearningModelVariableDescriptorPreview{ value, take_ownership_from_abi };
}
template <typename D> WINRT_IMPL_AUTO(winrt::Windows::AI::MachineLearning::Preview::ILearningModelVariableDescriptorPreview) consume_Windows_AI_MachineLearning_Preview_ISequenceVariableDescriptorPreview<D>::ElementType() const
{
void* value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::ISequenceVariableDescriptorPreview)->get_ElementType(&value));
return winrt::Windows::AI::MachineLearning::Preview::ILearningModelVariableDescriptorPreview{ value, take_ownership_from_abi };
}
template <typename D> WINRT_IMPL_AUTO(winrt::Windows::AI::MachineLearning::Preview::FeatureElementKindPreview) consume_Windows_AI_MachineLearning_Preview_ITensorVariableDescriptorPreview<D>::DataType() const
{
winrt::Windows::AI::MachineLearning::Preview::FeatureElementKindPreview value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::ITensorVariableDescriptorPreview)->get_DataType(reinterpret_cast<int32_t*>(&value)));
return value;
}
template <typename D> WINRT_IMPL_AUTO(winrt::Windows::Foundation::Collections::IIterable<int64_t>) consume_Windows_AI_MachineLearning_Preview_ITensorVariableDescriptorPreview<D>::Shape() const
{
void* value{};
check_hresult(WINRT_IMPL_SHIM(winrt::Windows::AI::MachineLearning::Preview::ITensorVariableDescriptorPreview)->get_Shape(&value));
return winrt::Windows::Foundation::Collections::IIterable<int64_t>{ value, take_ownership_from_abi };
}
#ifndef WINRT_LEAN_AND_MEAN
template <typename D>
struct produce<D, winrt::Windows::AI::MachineLearning::Preview::IImageVariableDescriptorPreview> : produce_base<D, winrt::Windows::AI::MachineLearning::Preview::IImageVariableDescriptorPreview>
{
int32_t __stdcall get_BitmapPixelFormat(int32_t* value) noexcept final try
{
typename D::abi_guard guard(this->shim());
*value = detach_from<winrt::Windows::Graphics::Imaging::BitmapPixelFormat>(this->shim().BitmapPixelFormat());
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall get_Width(uint32_t* value) noexcept final try
{
typename D::abi_guard guard(this->shim());
*value = detach_from<uint32_t>(this->shim().Width());
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall get_Height(uint32_t* value) noexcept final try
{
typename D::abi_guard guard(this->shim());
*value = detach_from<uint32_t>(this->shim().Height());
return 0;
}
catch (...) { return to_hresult(); }
};
#endif
#ifndef WINRT_LEAN_AND_MEAN
template <typename D>
struct produce<D, winrt::Windows::AI::MachineLearning::Preview::IInferencingOptionsPreview> : produce_base<D, winrt::Windows::AI::MachineLearning::Preview::IInferencingOptionsPreview>
{
int32_t __stdcall get_PreferredDeviceKind(int32_t* value) noexcept final try
{
typename D::abi_guard guard(this->shim());
*value = detach_from<winrt::Windows::AI::MachineLearning::Preview::LearningModelDeviceKindPreview>(this->shim().PreferredDeviceKind());
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall put_PreferredDeviceKind(int32_t value) noexcept final try
{
typename D::abi_guard guard(this->shim());
this->shim().PreferredDeviceKind(*reinterpret_cast<winrt::Windows::AI::MachineLearning::Preview::LearningModelDeviceKindPreview const*>(&value));
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall get_IsTracingEnabled(bool* value) noexcept final try
{
typename D::abi_guard guard(this->shim());
*value = detach_from<bool>(this->shim().IsTracingEnabled());
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall put_IsTracingEnabled(bool value) noexcept final try
{
typename D::abi_guard guard(this->shim());
this->shim().IsTracingEnabled(value);
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall get_MaxBatchSize(int32_t* value) noexcept final try
{
typename D::abi_guard guard(this->shim());
*value = detach_from<int32_t>(this->shim().MaxBatchSize());
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall put_MaxBatchSize(int32_t value) noexcept final try
{
typename D::abi_guard guard(this->shim());
this->shim().MaxBatchSize(value);
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall get_MinimizeMemoryAllocation(bool* value) noexcept final try
{
typename D::abi_guard guard(this->shim());
*value = detach_from<bool>(this->shim().MinimizeMemoryAllocation());
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall put_MinimizeMemoryAllocation(bool value) noexcept final try
{
typename D::abi_guard guard(this->shim());
this->shim().MinimizeMemoryAllocation(value);
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall get_ReclaimMemoryAfterEvaluation(bool* value) noexcept final try
{
typename D::abi_guard guard(this->shim());
*value = detach_from<bool>(this->shim().ReclaimMemoryAfterEvaluation());
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall put_ReclaimMemoryAfterEvaluation(bool value) noexcept final try
{
typename D::abi_guard guard(this->shim());
this->shim().ReclaimMemoryAfterEvaluation(value);
return 0;
}
catch (...) { return to_hresult(); }
};
#endif
#ifndef WINRT_LEAN_AND_MEAN
template <typename D>
struct produce<D, winrt::Windows::AI::MachineLearning::Preview::ILearningModelBindingPreview> : produce_base<D, winrt::Windows::AI::MachineLearning::Preview::ILearningModelBindingPreview>
{
int32_t __stdcall Bind(void* name, void* value) noexcept final try
{
typename D::abi_guard guard(this->shim());
this->shim().Bind(*reinterpret_cast<hstring const*>(&name), *reinterpret_cast<winrt::Windows::Foundation::IInspectable const*>(&value));
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall BindWithProperties(void* name, void* value, void* metadata) noexcept final try
{
typename D::abi_guard guard(this->shim());
this->shim().Bind(*reinterpret_cast<hstring const*>(&name), *reinterpret_cast<winrt::Windows::Foundation::IInspectable const*>(&value), *reinterpret_cast<winrt::Windows::Foundation::Collections::IPropertySet const*>(&metadata));
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall Clear() noexcept final try
{
typename D::abi_guard guard(this->shim());
this->shim().Clear();
return 0;
}
catch (...) { return to_hresult(); }
};
#endif
#ifndef WINRT_LEAN_AND_MEAN
template <typename D>
struct produce<D, winrt::Windows::AI::MachineLearning::Preview::ILearningModelBindingPreviewFactory> : produce_base<D, winrt::Windows::AI::MachineLearning::Preview::ILearningModelBindingPreviewFactory>
{
int32_t __stdcall CreateFromModel(void* model, void** value) noexcept final try
{
clear_abi(value);
typename D::abi_guard guard(this->shim());
*value = detach_from<winrt::Windows::AI::MachineLearning::Preview::LearningModelBindingPreview>(this->shim().CreateFromModel(*reinterpret_cast<winrt::Windows::AI::MachineLearning::Preview::LearningModelPreview const*>(&model)));
return 0;
}
catch (...) { return to_hresult(); }
};
#endif
#ifndef WINRT_LEAN_AND_MEAN
template <typename D>
struct produce<D, winrt::Windows::AI::MachineLearning::Preview::ILearningModelDescriptionPreview> : produce_base<D, winrt::Windows::AI::MachineLearning::Preview::ILearningModelDescriptionPreview>
{
int32_t __stdcall get_Author(void** value) noexcept final try
{
clear_abi(value);
typename D::abi_guard guard(this->shim());
*value = detach_from<hstring>(this->shim().Author());
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall get_Name(void** value) noexcept final try
{
clear_abi(value);
typename D::abi_guard guard(this->shim());
*value = detach_from<hstring>(this->shim().Name());
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall get_Domain(void** value) noexcept final try
{
clear_abi(value);
typename D::abi_guard guard(this->shim());
*value = detach_from<hstring>(this->shim().Domain());
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall get_Description(void** value) noexcept final try
{
clear_abi(value);
typename D::abi_guard guard(this->shim());
*value = detach_from<hstring>(this->shim().Description());
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall get_Version(int64_t* value) noexcept final try
{
typename D::abi_guard guard(this->shim());
*value = detach_from<int64_t>(this->shim().Version());
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall get_Metadata(void** value) noexcept final try
{
clear_abi(value);
typename D::abi_guard guard(this->shim());
*value = detach_from<winrt::Windows::Foundation::Collections::IMapView<hstring, hstring>>(this->shim().Metadata());
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall get_InputFeatures(void** value) noexcept final try
{
clear_abi(value);
typename D::abi_guard guard(this->shim());
*value = detach_from<winrt::Windows::Foundation::Collections::IIterable<winrt::Windows::AI::MachineLearning::Preview::ILearningModelVariableDescriptorPreview>>(this->shim().InputFeatures());
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall get_OutputFeatures(void** value) noexcept final try
{
clear_abi(value);
typename D::abi_guard guard(this->shim());
*value = detach_from<winrt::Windows::Foundation::Collections::IIterable<winrt::Windows::AI::MachineLearning::Preview::ILearningModelVariableDescriptorPreview>>(this->shim().OutputFeatures());
return 0;
}
catch (...) { return to_hresult(); }
};
#endif
#ifndef WINRT_LEAN_AND_MEAN
template <typename D>
struct produce<D, winrt::Windows::AI::MachineLearning::Preview::ILearningModelEvaluationResultPreview> : produce_base<D, winrt::Windows::AI::MachineLearning::Preview::ILearningModelEvaluationResultPreview>
{
int32_t __stdcall get_CorrelationId(void** correlationId) noexcept final try
{
clear_abi(correlationId);
typename D::abi_guard guard(this->shim());
*correlationId = detach_from<hstring>(this->shim().CorrelationId());
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall get_Outputs(void** value) noexcept final try
{
clear_abi(value);
typename D::abi_guard guard(this->shim());
*value = detach_from<winrt::Windows::Foundation::Collections::IMapView<hstring, winrt::Windows::Foundation::IInspectable>>(this->shim().Outputs());
return 0;
}
catch (...) { return to_hresult(); }
};
#endif
#ifndef WINRT_LEAN_AND_MEAN
template <typename D>
struct produce<D, winrt::Windows::AI::MachineLearning::Preview::ILearningModelPreview> : produce_base<D, winrt::Windows::AI::MachineLearning::Preview::ILearningModelPreview>
{
int32_t __stdcall EvaluateAsync(void* binding, void* correlationId, void** evalOperation) noexcept final try
{
clear_abi(evalOperation);
typename D::abi_guard guard(this->shim());
*evalOperation = detach_from<winrt::Windows::Foundation::IAsyncOperation<winrt::Windows::AI::MachineLearning::Preview::LearningModelEvaluationResultPreview>>(this->shim().EvaluateAsync(*reinterpret_cast<winrt::Windows::AI::MachineLearning::Preview::LearningModelBindingPreview const*>(&binding), *reinterpret_cast<hstring const*>(&correlationId)));
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall EvaluateFeaturesAsync(void* features, void* correlationId, void** evalOperation) noexcept final try
{
clear_abi(evalOperation);
typename D::abi_guard guard(this->shim());
*evalOperation = detach_from<winrt::Windows::Foundation::IAsyncOperation<winrt::Windows::AI::MachineLearning::Preview::LearningModelEvaluationResultPreview>>(this->shim().EvaluateFeaturesAsync(*reinterpret_cast<winrt::Windows::Foundation::Collections::IMap<hstring, winrt::Windows::Foundation::IInspectable> const*>(&features), *reinterpret_cast<hstring const*>(&correlationId)));
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall get_Description(void** returnValue) noexcept final try
{
clear_abi(returnValue);
typename D::abi_guard guard(this->shim());
*returnValue = detach_from<winrt::Windows::AI::MachineLearning::Preview::LearningModelDescriptionPreview>(this->shim().Description());
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall get_InferencingOptions(void** value) noexcept final try
{
clear_abi(value);
typename D::abi_guard guard(this->shim());
*value = detach_from<winrt::Windows::AI::MachineLearning::Preview::InferencingOptionsPreview>(this->shim().InferencingOptions());
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall put_InferencingOptions(void* value) noexcept final try
{
typename D::abi_guard guard(this->shim());
this->shim().InferencingOptions(*reinterpret_cast<winrt::Windows::AI::MachineLearning::Preview::InferencingOptionsPreview const*>(&value));
return 0;
}
catch (...) { return to_hresult(); }
};
#endif
#ifndef WINRT_LEAN_AND_MEAN
template <typename D>
struct produce<D, winrt::Windows::AI::MachineLearning::Preview::ILearningModelPreviewStatics> : produce_base<D, winrt::Windows::AI::MachineLearning::Preview::ILearningModelPreviewStatics>
{
int32_t __stdcall LoadModelFromStorageFileAsync(void* modelFile, void** modelCreationOperation) noexcept final try
{
clear_abi(modelCreationOperation);
typename D::abi_guard guard(this->shim());
*modelCreationOperation = detach_from<winrt::Windows::Foundation::IAsyncOperation<winrt::Windows::AI::MachineLearning::Preview::LearningModelPreview>>(this->shim().LoadModelFromStorageFileAsync(*reinterpret_cast<winrt::Windows::Storage::IStorageFile const*>(&modelFile)));
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall LoadModelFromStreamAsync(void* modelStream, void** modelCreationOperation) noexcept final try
{
clear_abi(modelCreationOperation);
typename D::abi_guard guard(this->shim());
*modelCreationOperation = detach_from<winrt::Windows::Foundation::IAsyncOperation<winrt::Windows::AI::MachineLearning::Preview::LearningModelPreview>>(this->shim().LoadModelFromStreamAsync(*reinterpret_cast<winrt::Windows::Storage::Streams::IRandomAccessStreamReference const*>(&modelStream)));
return 0;
}
catch (...) { return to_hresult(); }
};
#endif
template <typename D>
struct produce<D, winrt::Windows::AI::MachineLearning::Preview::ILearningModelVariableDescriptorPreview> : produce_base<D, winrt::Windows::AI::MachineLearning::Preview::ILearningModelVariableDescriptorPreview>
{
int32_t __stdcall get_Name(void** value) noexcept final try
{
clear_abi(value);
typename D::abi_guard guard(this->shim());
*value = detach_from<hstring>(this->shim().Name());
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall get_Description(void** value) noexcept final try
{
clear_abi(value);
typename D::abi_guard guard(this->shim());
*value = detach_from<hstring>(this->shim().Description());
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall get_ModelFeatureKind(int32_t* value) noexcept final try
{
typename D::abi_guard guard(this->shim());
*value = detach_from<winrt::Windows::AI::MachineLearning::Preview::LearningModelFeatureKindPreview>(this->shim().ModelFeatureKind());
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall get_IsRequired(bool* value) noexcept final try
{
typename D::abi_guard guard(this->shim());
*value = detach_from<bool>(this->shim().IsRequired());
return 0;
}
catch (...) { return to_hresult(); }
};
#ifndef WINRT_LEAN_AND_MEAN
template <typename D>
struct produce<D, winrt::Windows::AI::MachineLearning::Preview::IMapVariableDescriptorPreview> : produce_base<D, winrt::Windows::AI::MachineLearning::Preview::IMapVariableDescriptorPreview>
{
int32_t __stdcall get_KeyKind(int32_t* value) noexcept final try
{
typename D::abi_guard guard(this->shim());
*value = detach_from<winrt::Windows::AI::MachineLearning::Preview::FeatureElementKindPreview>(this->shim().KeyKind());
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall get_ValidStringKeys(void** value) noexcept final try
{
clear_abi(value);
typename D::abi_guard guard(this->shim());
*value = detach_from<winrt::Windows::Foundation::Collections::IIterable<hstring>>(this->shim().ValidStringKeys());
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall get_ValidIntegerKeys(void** value) noexcept final try
{
clear_abi(value);
typename D::abi_guard guard(this->shim());
*value = detach_from<winrt::Windows::Foundation::Collections::IIterable<int64_t>>(this->shim().ValidIntegerKeys());
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall get_Fields(void** value) noexcept final try
{
clear_abi(value);
typename D::abi_guard guard(this->shim());
*value = detach_from<winrt::Windows::AI::MachineLearning::Preview::ILearningModelVariableDescriptorPreview>(this->shim().Fields());
return 0;
}
catch (...) { return to_hresult(); }
};
#endif
#ifndef WINRT_LEAN_AND_MEAN
template <typename D>
struct produce<D, winrt::Windows::AI::MachineLearning::Preview::ISequenceVariableDescriptorPreview> : produce_base<D, winrt::Windows::AI::MachineLearning::Preview::ISequenceVariableDescriptorPreview>
{
int32_t __stdcall get_ElementType(void** value) noexcept final try
{
clear_abi(value);
typename D::abi_guard guard(this->shim());
*value = detach_from<winrt::Windows::AI::MachineLearning::Preview::ILearningModelVariableDescriptorPreview>(this->shim().ElementType());
return 0;
}
catch (...) { return to_hresult(); }
};
#endif
#ifndef WINRT_LEAN_AND_MEAN
template <typename D>
struct produce<D, winrt::Windows::AI::MachineLearning::Preview::ITensorVariableDescriptorPreview> : produce_base<D, winrt::Windows::AI::MachineLearning::Preview::ITensorVariableDescriptorPreview>
{
int32_t __stdcall get_DataType(int32_t* value) noexcept final try
{
typename D::abi_guard guard(this->shim());
*value = detach_from<winrt::Windows::AI::MachineLearning::Preview::FeatureElementKindPreview>(this->shim().DataType());
return 0;
}
catch (...) { return to_hresult(); }
int32_t __stdcall get_Shape(void** value) noexcept final try
{
clear_abi(value);
typename D::abi_guard guard(this->shim());
*value = detach_from<winrt::Windows::Foundation::Collections::IIterable<int64_t>>(this->shim().Shape());
return 0;
}
catch (...) { return to_hresult(); }
};
#endif
}
WINRT_EXPORT namespace winrt::Windows::AI::MachineLearning::Preview
{
inline LearningModelBindingPreview::LearningModelBindingPreview(winrt::Windows::AI::MachineLearning::Preview::LearningModelPreview const& model) :
LearningModelBindingPreview(impl::call_factory<LearningModelBindingPreview, ILearningModelBindingPreviewFactory>([&](ILearningModelBindingPreviewFactory const& f) { return f.CreateFromModel(model); }))
{
}
inline auto LearningModelPreview::LoadModelFromStorageFileAsync(winrt::Windows::Storage::IStorageFile const& modelFile)
{
return impl::call_factory<LearningModelPreview, ILearningModelPreviewStatics>([&](ILearningModelPreviewStatics const& f) { return f.LoadModelFromStorageFileAsync(modelFile); });
}
inline auto LearningModelPreview::LoadModelFromStreamAsync(winrt::Windows::Storage::Streams::IRandomAccessStreamReference const& modelStream)
{
return impl::call_factory<LearningModelPreview, ILearningModelPreviewStatics>([&](ILearningModelPreviewStatics const& f) { return f.LoadModelFromStreamAsync(modelStream); });
}
}
namespace std
{
#ifndef WINRT_LEAN_AND_MEAN
template<> struct hash<winrt::Windows::AI::MachineLearning::Preview::IImageVariableDescriptorPreview> : winrt::impl::hash_base {};
template<> struct hash<winrt::Windows::AI::MachineLearning::Preview::IInferencingOptionsPreview> : winrt::impl::hash_base {};
template<> struct hash<winrt::Windows::AI::MachineLearning::Preview::ILearningModelBindingPreview> : winrt::impl::hash_base {};
template<> struct hash<winrt::Windows::AI::MachineLearning::Preview::ILearningModelBindingPreviewFactory> : winrt::impl::hash_base {};
template<> struct hash<winrt::Windows::AI::MachineLearning::Preview::ILearningModelDescriptionPreview> : winrt::impl::hash_base {};
template<> struct hash<winrt::Windows::AI::MachineLearning::Preview::ILearningModelEvaluationResultPreview> : winrt::impl::hash_base {};
template<> struct hash<winrt::Windows::AI::MachineLearning::Preview::ILearningModelPreview> : winrt::impl::hash_base {};
template<> struct hash<winrt::Windows::AI::MachineLearning::Preview::ILearningModelPreviewStatics> : winrt::impl::hash_base {};
template<> struct hash<winrt::Windows::AI::MachineLearning::Preview::ILearningModelVariableDescriptorPreview> : winrt::impl::hash_base {};
template<> struct hash<winrt::Windows::AI::MachineLearning::Preview::IMapVariableDescriptorPreview> : winrt::impl::hash_base {};
template<> struct hash<winrt::Windows::AI::MachineLearning::Preview::ISequenceVariableDescriptorPreview> : winrt::impl::hash_base {};
template<> struct hash<winrt::Windows::AI::MachineLearning::Preview::ITensorVariableDescriptorPreview> : winrt::impl::hash_base {};
template<> struct hash<winrt::Windows::AI::MachineLearning::Preview::ImageVariableDescriptorPreview> : winrt::impl::hash_base {};
template<> struct hash<winrt::Windows::AI::MachineLearning::Preview::InferencingOptionsPreview> : winrt::impl::hash_base {};
template<> struct hash<winrt::Windows::AI::MachineLearning::Preview::LearningModelBindingPreview> : winrt::impl::hash_base {};
template<> struct hash<winrt::Windows::AI::MachineLearning::Preview::LearningModelDescriptionPreview> : winrt::impl::hash_base {};
template<> struct hash<winrt::Windows::AI::MachineLearning::Preview::LearningModelEvaluationResultPreview> : winrt::impl::hash_base {};
template<> struct hash<winrt::Windows::AI::MachineLearning::Preview::LearningModelPreview> : winrt::impl::hash_base {};
template<> struct hash<winrt::Windows::AI::MachineLearning::Preview::LearningModelVariableDescriptorPreview> : winrt::impl::hash_base {};
template<> struct hash<winrt::Windows::AI::MachineLearning::Preview::MapVariableDescriptorPreview> : winrt::impl::hash_base {};
template<> struct hash<winrt::Windows::AI::MachineLearning::Preview::SequenceVariableDescriptorPreview> : winrt::impl::hash_base {};
template<> struct hash<winrt::Windows::AI::MachineLearning::Preview::TensorVariableDescriptorPreview> : winrt::impl::hash_base {};
#endif
#ifdef __cpp_lib_format
#endif
}
#endif
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