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