mirror of
https://github.com/saymrwulf/onnxruntime.git
synced 2026-05-16 21:00:14 +00:00
87cb6fd495
* model building * fix build * winml adapter model building api * model building * make build * make build again * add model building with audio op * inplace and inorder fft * add ifft * works! * cleanup * add comments * switch to iterative rather than recursive and use parallelization * batched parallelization * fft->dft * cleanup * window functions * add melweightmatrix op * updates to make spectrogram test work * push latest * add onesided * cleanup * Clean up building apis and fix mel * cleanup * cleanup * naive stft * fix test output * middle c complete * 3 tones * cleanup * signal def new line * Add save functionality * Perf improvements, 10x improvement * cleanup * use bitreverse lookup table for performance * implement constant initializers for tensors * small changes * add matmul tests * merge issues * support add attribute * add tests for double data type windowfunctions and minor cleanup * stft onesided/and not tests * cleanup * cleanup * clean up * cleanup * remove threading attribute * forward declare orttypeinfo * warnings * fwd declare * fix warnings * 1 more warning * remove saving to e drive... * cleanup and fix stft test * add opset picker * small additions * add onnxruntime tests * add signed/unsigned * fix warning * fix warning * finish onnxruntime tests * make windows namespace build succeed * add experimental flag * add experimental api into nuget package * add experimental api build flag and add to windows ai nuget package * turn experimental for tests * add minimum opset version to new experimental domain * api cleanup * disable ms experimental ops test when --ms_experimental is not enabled * add macro behind flag * remove unused x * pr feedback Co-authored-by: Sheil Kumar <sheilk@microsoft.com>
126 lines
3.3 KiB
C++
126 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(
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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(
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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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/* 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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