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https://github.com/saymrwulf/onnxruntime.git
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eeef157888
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>
111 lines
3.3 KiB
C++
111 lines
3.3 KiB
C++
// Copyright (c) Microsoft Corporation. All rights reserved.
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// Licensed under the MIT License.
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#pragma once
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#include "LearningModel.g.h"
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namespace _winml {
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struct IEngineFactory;
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struct IModel;
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struct IModelInfo;
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} // namespace _winml
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namespace WINMLP {
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struct LearningModel : LearningModelT<LearningModel> {
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/* LearningModel constructors (MachineLearningContract 1). */
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LearningModel() = default;
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LearningModel(const hstring& path, const winml::ILearningModelOperatorProvider operator_provider);
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LearningModel(
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const wss::IRandomAccessStreamReference stream, const winml::ILearningModelOperatorProvider operator_provider
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);
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LearningModel(
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_winml::IEngineFactory* engine_factory,
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_winml::IModel* model,
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const winml::ILearningModelOperatorProvider operator_provider
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);
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/* LearningModel properties (MachineLearningContract 1). */
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hstring Author();
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hstring Name();
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hstring Domain();
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hstring Description();
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int64_t Version();
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wfc::IMapView<hstring, hstring> Metadata();
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wfc::IVectorView<winml::ILearningModelFeatureDescriptor> InputFeatures();
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wfc::IVectorView<winml::ILearningModelFeatureDescriptor> OutputFeatures();
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void SetName(const hstring& name);
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/* IClosable methods. */
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void Close();
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/* LearningModel static methods (MachineLearningContract 1). */
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static wf::IAsyncOperation<winml::LearningModel> LoadFromStorageFileAsync(ws::IStorageFile const model_file);
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static wf::IAsyncOperation<winml::LearningModel> LoadFromStorageFileAsync(
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ws::IStorageFile const model_file, winml::ILearningModelOperatorProvider const operator_provider
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);
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static wf::IAsyncOperation<winml::LearningModel> LoadFromStreamAsync(wss::IRandomAccessStreamReference const stream);
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static wf::IAsyncOperation<winml::LearningModel> LoadFromStreamAsync(
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wss::IRandomAccessStreamReference const stream, winml::ILearningModelOperatorProvider const operator_provider
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);
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static winml::LearningModel LoadFromFilePath(hstring const& path);
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static winml::LearningModel LoadFromFilePath(
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hstring const& path, winml::ILearningModelOperatorProvider const operator_provider
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);
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static winml::LearningModel LoadFromStream(wss::IRandomAccessStreamReference const stream);
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static winml::LearningModel LoadFromStream(
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wss::IRandomAccessStreamReference const stream, winml::ILearningModelOperatorProvider const operator_provider
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);
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public:
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/* Non-ABI methods */
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bool IsDisposed();
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IMLOperatorRegistry* GetOperatorRegistry();
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_winml::IModel* DetachModel();
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_winml::IModel* CloneModel();
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_winml::IEngineFactory* GetEngineFactory();
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void SaveToFile(const hstring& file_name);
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void JoinModel(
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winml::LearningModel other,
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const std::unordered_map<std::string, std::string>& linkages,
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bool promote_unlinked_outputs,
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bool close_model_on_join,
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const winrt::hstring& join_node_prefix
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);
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private:
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com_ptr<_winml::IEngineFactory> engine_factory_;
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com_ptr<_winml::IModel> model_;
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com_ptr<_winml::IModelInfo> model_info_;
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ILearningModelOperatorProvider operator_provider_;
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};
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} // namespace WINMLP
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namespace WINML::factory_implementation {
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struct LearningModel : LearningModelT<LearningModel, implementation::LearningModel, ILearningModelStaticsNative> {
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STDMETHOD(Load)
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(const wchar_t* p_model_path, UINT32 model_path_size, IUnknown** pp_model_unk);
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};
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} // namespace WINML::factory_implementation
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