mirror of
https://github.com/saymrwulf/onnxruntime.git
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* commetns for dml graph transformer fixed ort value passing using the allocatir info * fixed and coded maps and sequences across the abi * cleaned up w4's cleaned up the model info ABI delayload directml.dll from winml * cleaned up namepsace aliases. renamed _winmla to winmla this was good PR feedback from tiago a while back.
122 lines
3.3 KiB
C++
122 lines
3.3 KiB
C++
// Copyright (c) Microsoft Corporation.
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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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#include "WinMLAdapter.h"
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namespace winrt::Windows::AI::MachineLearning::implementation {
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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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Windows::Storage::IStorageFile const model_file);
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static wf::IAsyncOperation<winml::LearningModel>
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LoadFromStorageFileAsync(
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Windows::Storage::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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winmla::IModelProto* DetachModelProto();
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winmla::IModelProto* CopyModelProto();
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private:
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void Initialize();
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void LogCreationEvent(bool fromStream = false);
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void ModelUseFP16(
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winml::ILearningModelFeatureDescriptor descriptor,
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bool& use_fp16);
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private:
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com_ptr<winmla::IWinMLAdapter> adapter_;
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com_ptr<winmla::IModelProto> model_proto_;
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com_ptr<winmla::IModelInfo> model_info_;
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ILearningModelOperatorProvider operator_provider_;
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};
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} // namespace winrt::Windows::AI::MachineLearning::implementation
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namespace winrt::Windows::AI::MachineLearning::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 winrt::Windows::AI::MachineLearning::factory_implementation
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