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>
50 lines
1.9 KiB
C++
50 lines
1.9 KiB
C++
#pragma once
|
|
|
|
#include "LearningModelOperator.g.h"
|
|
#include "TensorFeatureDescriptor.h"
|
|
#include "iengine.h"
|
|
#include "LearningModelBuilder.h"
|
|
#include "LearningModelInputs.h"
|
|
|
|
namespace WINML_EXPERIMENTALP {
|
|
|
|
struct LearningModelOperator : LearningModelOperatorT<LearningModelOperator>
|
|
{
|
|
LearningModelOperator() = delete;
|
|
LearningModelOperator(hstring const& type);
|
|
LearningModelOperator(hstring const& type, hstring const& domain);
|
|
|
|
winml_experimental::LearningModelOperator SetName(hstring const& name);
|
|
winml_experimental::LearningModelOperator SetInput(hstring const& operator_input_name, hstring const& input_name);
|
|
winml_experimental::LearningModelOperator SetConstant(hstring const& operator_input_name, wf::IInspectable const& value);
|
|
winml_experimental::LearningModelOperator SetOutput(hstring const& operator_output_name, hstring const& output_name);
|
|
winml_experimental::LearningModelOperator SetAttribute(hstring const& name, wf::IInspectable const& value);
|
|
hstring Name();
|
|
hstring Type();
|
|
hstring Domain();
|
|
|
|
wfc::IMap<winrt::hstring, winrt::hstring> InputMapping();
|
|
wfc::IMap<winrt::hstring, wf::IInspectable> ConstantInputMapping();
|
|
wfc::IMap<winrt::hstring, winrt::hstring> OutputMapping();
|
|
wfc::IMap<winrt::hstring, wf::IInspectable> AttributeMap();
|
|
|
|
private:
|
|
winrt::hstring name_;
|
|
winrt::hstring domain_;
|
|
winrt::hstring type_;
|
|
|
|
wfc::IMap<winrt::hstring, wf::IInspectable> attribute_values_;
|
|
wfc::IMap<winrt::hstring, wf::IInspectable> constant_input_mapping_;
|
|
wfc::IMap<winrt::hstring, winrt::hstring> input_mapping_;
|
|
wfc::IMap<winrt::hstring, winrt::hstring> output_mapping_;
|
|
};
|
|
|
|
} // namespace WINML_EXPERIMENTALP
|
|
|
|
namespace WINML_EXPERIMENTAL::factory_implementation {
|
|
|
|
struct LearningModelOperator : LearningModelOperatorT<LearningModelOperator, implementation::LearningModelOperator>
|
|
{
|
|
};
|
|
|
|
}
|