onnxruntime/winml/lib/Api/TensorFeatureDescriptor.cpp
Justin Chu eeef157888
Format c++ code under winml/ (#16660)
winml/ was previously excluded from lintrunner config. This change
includes the directory and adds the clang-format config file specific to
winml/ that fits existing style.

---------

Signed-off-by: Justin Chu <justinchu@microsoft.com>
2023-07-25 21:56:50 -07:00

81 lines
2.5 KiB
C++

// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
#include "lib/Api/pch/pch.h"
#include "LearningModel.h"
#include "TensorFeatureDescriptor.h"
namespace WINMLP {
TensorFeatureDescriptor::TensorFeatureDescriptor(
const char* name,
const char* description,
winml::TensorKind tensor_kind,
const std::vector<int64_t>& shape,
bool is_required,
bool has_unsupported_image_metadata
)
: name_(_winml::Strings::HStringFromUTF8(name)),
description_(_winml::Strings::HStringFromUTF8(description)),
tensor_kind_(tensor_kind),
shape_(shape),
is_required_(is_required),
has_unsupported_image_metadata_(has_unsupported_image_metadata) {
}
TensorFeatureDescriptor::TensorFeatureDescriptor(
hstring const& name, hstring const& description, winml::TensorKind const& kind, array_view<int64_t const> shape
)
: name_(name),
description_(description),
tensor_kind_(kind),
shape_(shape.begin(), shape.end()),
is_required_(true),
has_unsupported_image_metadata_(false) {
}
winml::TensorKind TensorFeatureDescriptor::TensorKind() try { return tensor_kind_; }
WINML_CATCH_ALL
wfc::IVectorView<int64_t> TensorFeatureDescriptor::Shape() try {
return winrt::single_threaded_vector<int64_t>(std::vector<int64_t>(std::begin(shape_), std::end(shape_))).GetView();
}
WINML_CATCH_ALL
winrt::hstring TensorFeatureDescriptor::Name() try { return name_; }
WINML_CATCH_ALL
winrt::hstring TensorFeatureDescriptor::Description() try { return description_; }
WINML_CATCH_ALL
winml::LearningModelFeatureKind TensorFeatureDescriptor::Kind() try { return LearningModelFeatureKind::Tensor; }
WINML_CATCH_ALL
bool TensorFeatureDescriptor::IsRequired() try { return is_required_; }
WINML_CATCH_ALL
bool TensorFeatureDescriptor::IsUnsupportedMetaData() try { return has_unsupported_image_metadata_; }
WINML_CATCH_ALL
HRESULT
TensorFeatureDescriptor::GetName(const wchar_t** name, uint32_t* cchName) {
*name = name_.data();
*cchName = static_cast<uint32_t>(name_.size());
return S_OK;
}
HRESULT
TensorFeatureDescriptor::GetDescription(const wchar_t** description, uint32_t* cchDescription) {
*description = description_.data();
*cchDescription = static_cast<uint32_t>(description_.size());
return S_OK;
}
HRESULT
TensorFeatureDescriptor::GetDescriptorInfo(_winml::IEngineFactory* engine_factory, _winml::IDescriptorInfo** info) {
engine_factory->CreateTensorDescriptorInfo(tensor_kind_, shape_.data(), shape_.size(), info);
return S_OK;
};
} // namespace WINMLP