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5406801670
* Task 23998197: add winml_lib_core into onnnxruntime.dll * PR feedback build break on perf_test
145 lines
4.3 KiB
C++
145 lines
4.3 KiB
C++
// Copyright (c) Microsoft Corporation.
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// Licensed under the MIT License.
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#include "pch.h"
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#include "ImageFeatureDescriptor.h"
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#include <windows.graphics.imaging.h>
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namespace winrt::Windows::AI::MachineLearning::implementation {
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ImageFeatureDescriptor::ImageFeatureDescriptor(
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const char* name,
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const char* description,
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bool is_required,
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winml::TensorKind tensor_kind,
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const std::vector<int64_t>& shape,
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wgi::BitmapPixelFormat pixel_format,
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wgi::BitmapAlphaMode alpha_mode,
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uint32_t width,
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uint32_t height,
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ImageNominalPixelRange nominal_pixel_range,
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ImageColorSpaceGamma color_space_gamma) : name_(WinML::Strings::HStringFromUTF8(name)),
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description_(WinML::Strings::HStringFromUTF8(description)),
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tensor_kind_(tensor_kind),
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shape_(shape),
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is_required_(is_required),
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pixel_format_(pixel_format),
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alpha_mode_(alpha_mode),
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width_(width),
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height_(height),
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nominal_pixel_range_(nominal_pixel_range),
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color_space_gamma_(color_space_gamma) {
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}
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ImageFeatureDescriptor::ImageFeatureDescriptor(
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hstring const& Name,
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hstring const& Description,
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bool IsRequired,
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Windows::AI::MachineLearning::TensorKind const& TensorKind,
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array_view<int64_t const> Shape,
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Windows::Graphics::Imaging::BitmapPixelFormat const& BitmapPixelFormat,
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Windows::Graphics::Imaging::BitmapAlphaMode const& BitmapAlphaMode,
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uint32_t Width,
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uint32_t Height) : name_(Name),
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description_(Description),
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tensor_kind_(TensorKind),
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shape_(Shape.begin(), Shape.end()),
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is_required_(IsRequired),
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pixel_format_(BitmapPixelFormat),
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alpha_mode_(BitmapAlphaMode),
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width_(Width),
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height_(Height),
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nominal_pixel_range_(ImageNominalPixelRange::ImageNominalPixelRange_NominalRange_0_255),
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color_space_gamma_(ImageColorSpaceGamma::ImageColorSpaceGamma_SRGB) {
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}
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wgi::BitmapPixelFormat
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ImageFeatureDescriptor::BitmapPixelFormat() try {
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return pixel_format_;
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}
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WINML_CATCH_ALL
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wgi::BitmapAlphaMode
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ImageFeatureDescriptor::BitmapAlphaMode() try {
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return alpha_mode_;
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}
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WINML_CATCH_ALL
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uint32_t
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ImageFeatureDescriptor::Width() try {
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return width_;
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}
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WINML_CATCH_ALL
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uint32_t
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ImageFeatureDescriptor::Height() try {
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return height_;
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}
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WINML_CATCH_ALL
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hstring
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ImageFeatureDescriptor::Name() try {
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return name_;
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}
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WINML_CATCH_ALL
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hstring
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ImageFeatureDescriptor::Description() try {
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return description_;
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}
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WINML_CATCH_ALL
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winml::LearningModelFeatureKind
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ImageFeatureDescriptor::Kind() try {
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return LearningModelFeatureKind::Image;
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}
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WINML_CATCH_ALL
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bool ImageFeatureDescriptor::IsRequired() try {
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return is_required_;
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}
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WINML_CATCH_ALL
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winml::TensorKind
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ImageFeatureDescriptor::TensorKind() {
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return tensor_kind_;
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}
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wfc::IVectorView<int64_t>
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ImageFeatureDescriptor::Shape() {
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return winrt::single_threaded_vector<int64_t>(
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std::vector<int64_t>(
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std::begin(shape_),
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std::end(shape_)))
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.GetView();
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}
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HRESULT
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ImageFeatureDescriptor::GetName(
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const wchar_t** name,
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uint32_t* cchName) {
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*name = name_.data();
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*cchName = static_cast<uint32_t>(name_.size());
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return S_OK;
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}
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HRESULT
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ImageFeatureDescriptor::GetDescription(
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const wchar_t** description,
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uint32_t* cchDescription) {
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*description = description_.data();
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*cchDescription = static_cast<uint32_t>(description_.size());
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return S_OK;
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}
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ImageNominalPixelRange
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ImageFeatureDescriptor::GetNominalPixelRange() {
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return nominal_pixel_range_;
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}
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ImageColorSpaceGamma
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ImageFeatureDescriptor::GetColorSpaceGamma() {
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return color_space_gamma_;
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}
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} // namespace winrt::Windows::AI::MachineLearning::implementation
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