mirror of
https://github.com/saymrwulf/onnxruntime.git
synced 2026-07-17 18:40:28 +00:00
5350abe19d
this is a big PR. we are going to move it up to layer_dev , which is still a L3 so we are still safe to do work there agile. we are going to move this into the L3 so that ryan can start doing intergration testing. we will pause for a full code review and integration test result prior to going into the L2. >>>> raw comments from previous commits >>> * LearningModelSession is cleaned up to use the adapter, and parts of binding are. * moved everything in the winmladapter made it all nano-com using, WRL to construct objects in the ORT side. base interfaces for everythign for winml to call cleaned up a bunch of winml to use the base interfaces. * more pieces * GetData across the abi. * renamed some namepsace cleaned up OrtValue cleaned up Tensor cleaned up custom ops. everything *but* learnignmodel should be clean * make sure it's building. winml.dll is still a monolith.
143 lines
3.6 KiB
C++
143 lines
3.6 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 Windows::AI::MachineLearning {
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class LotusEnvironment;
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class ModelInfo;
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} // namespace Windows::AI::MachineLearning
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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
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IsDisposed();
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IMLOperatorRegistry*
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GetOperatorRegistry();
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_winmla::IModelProto*
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DetachModelProto();
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_winmla::IModelProto*
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CopyModelProto();
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private:
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void
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Initialize();
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void
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LogCreationEvent(
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bool fromStream = false);
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void
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ModelUseFP16(
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winml::ILearningModelFeatureDescriptor descriptor,
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bool& use_fp16);
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void
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OverrideShapeInferenceMethods();
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private:
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std::shared_ptr<WinML::LotusEnvironment> lotus_environment_;
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com_ptr<_winmla::IModelProto> model_proto_;
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std::unique_ptr<WinML::ModelInfo> 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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