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* Migrate winml to Microsoft Namespace (packaging changes are pending) * add ns_prefix toggle * fix packaging * Users/sheilk/add missing raw header (#3484) * add dualapipartition * wrong variable for repo root Co-authored-by: Sheil Kumar <sheilk@microsoft.com> * remove existence check to force failures * extra paren * dualapipartition needs to be referenced from the source * add microsoft.ai.machinelearning.dll to the output dir * rename the idl file so that assembly info is correctly added into the winmd * fix namespaces * update namespaces * default to microsoft, and add namespace override as build argument * update cmakesetings.json as well * remove from cmakelists.txt Co-authored-by: Sheil Kumar <sheilk@microsoft.com> Co-authored-by: Changming Sun <chasun@microsoft.com>
121 lines
3.1 KiB
C++
121 lines
3.1 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(
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const hstring& path,
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const winml::ILearningModelOperatorProvider operator_provider);
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LearningModel(
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const wss::IRandomAccessStreamReference stream,
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const winml::ILearningModelOperatorProvider operator_provider);
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LearningModel(
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const std::string& path,
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const winml::ILearningModelOperatorProvider operator_provider);
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/* LearningModel properties (MachineLearningContract 1). */
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hstring
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Author();
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hstring
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Name();
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hstring
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Domain();
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hstring
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Description();
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int64_t
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Version();
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wfc::IMapView<hstring, hstring>
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Metadata();
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wfc::IVectorView<winml::ILearningModelFeatureDescriptor>
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InputFeatures();
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wfc::IVectorView<winml::ILearningModelFeatureDescriptor>
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OutputFeatures();
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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>
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LoadFromStorageFileAsync(
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ws::IStorageFile const model_file);
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static wf::IAsyncOperation<winml::LearningModel>
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LoadFromStorageFileAsync(
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ws::IStorageFile const model_file,
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winml::ILearningModelOperatorProvider const operator_provider);
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static wf::IAsyncOperation<winml::LearningModel>
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LoadFromStreamAsync(
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wss::IRandomAccessStreamReference const stream);
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static wf::IAsyncOperation<winml::LearningModel>
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LoadFromStreamAsync(
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wss::IRandomAccessStreamReference const stream,
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winml::ILearningModelOperatorProvider const operator_provider);
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static winml::LearningModel
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LoadFromFilePath(
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hstring const& path);
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static winml::LearningModel
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LoadFromFilePath(
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hstring const& path,
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winml::ILearningModelOperatorProvider const operator_provider);
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static winml::LearningModel
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LoadFromStream(
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wss::IRandomAccessStreamReference const stream);
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static winml::LearningModel
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LoadFromStream(
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wss::IRandomAccessStreamReference const stream,
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winml::ILearningModelOperatorProvider const operator_provider);
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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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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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