mirror of
https://github.com/saymrwulf/onnxruntime.git
synced 2026-05-17 21:10:43 +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>
52 lines
1.7 KiB
C++
52 lines
1.7 KiB
C++
#pragma once
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#include <winrt/Windows.Foundation.Collections.h>
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#include "LearningModelBuilder.g.h"
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#include "iengine.h"
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namespace WINML_EXPERIMENTALP {
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struct LearningModelBuilder : LearningModelBuilderT<LearningModelBuilder> {
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LearningModelBuilder(int64_t opset);
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LearningModelBuilder(LearningModelBuilder& builder);
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winml_experimental::LearningModelInputs Inputs();
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winml_experimental::LearningModelOutputs Outputs();
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winml_experimental::LearningModelOperatorSet Operators();
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winml::LearningModel CreateModel();
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void Save(const winrt::hstring& file_name);
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static winml_experimental::LearningModelBuilder Create(int32_t opset);
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static winml::TensorFeatureDescriptor CreateTensorFeatureDescriptor(
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hstring const& name,
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hstring const& description,
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winml::TensorKind const& kind,
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array_view<int64_t const> shape);
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static winml::TensorFeatureDescriptor CreateTensorFeatureDescriptor(
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hstring const& name,
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winml::TensorKind const& kind,
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array_view<int64_t const> shape);
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_winml::IModel* UseModel();
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winml::LearningModelSession InertSession() {
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return inert_session_;
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}
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private:
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com_ptr<_winml::IEngineFactory> engine_factory_;
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winml::LearningModelSession inert_session_;
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com_ptr<_winml::IModel> model_;
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winml_experimental::LearningModelInputs inputs_;
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winml_experimental::LearningModelOutputs outputs_;
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winml_experimental::LearningModelOperatorSet operators_;
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};
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} // WINML_EXPERIMENTALP
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namespace WINML_EXPERIMENTAL::factory_implementation {
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struct LearningModelBuilder : LearningModelBuilderT<LearningModelBuilder, implementation::LearningModelBuilder> {
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};
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} // namespace winrt::winml_experimental::factory_implementation
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