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>
76 lines
No EOL
1.7 KiB
C++
76 lines
No EOL
1.7 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 "TensorFeatureDescriptor.g.h"
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#include "iengine.h"
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namespace WINMLP {
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struct TensorFeatureDescriptor : TensorFeatureDescriptorT<
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TensorFeatureDescriptor,
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ILearningModelFeatureDescriptorNative,
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_winml::IDescriptorInfoProvider> {
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TensorFeatureDescriptor() = delete;
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TensorFeatureDescriptor(
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const char* name,
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const char* description,
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winml::TensorKind tensor_kind,
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const std::vector<int64_t>& shape,
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bool is_required,
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bool has_unsuppored_image_metadata);
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TensorFeatureDescriptor(
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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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// ITensorDescriptor
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winml::TensorKind
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TensorKind();
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wfc::IVectorView<int64_t>
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Shape();
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// IFeatureDescriptor
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winrt::hstring
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Name();
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winrt::hstring
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Description();
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winml::LearningModelFeatureKind
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Kind();
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bool
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IsRequired();
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bool
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IsUnsupportedMetaData();
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STDMETHOD(GetName)
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(
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const wchar_t** name,
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uint32_t* cchName) override;
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STDMETHOD(GetDescription)
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(
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const wchar_t** description,
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uint32_t* cchDescription) override;
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STDMETHOD(GetDescriptorInfo)
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(
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_winml::IEngineFactory* engine_factory,
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_winml::IDescriptorInfo** info) override;
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private:
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winrt::hstring name_;
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winrt::hstring description_;
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winml::TensorKind tensor_kind_;
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std::vector<int64_t> shape_;
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bool is_required_;
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bool has_unsupported_image_metadata_;
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};
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} // WINMLP
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