mirror of
https://github.com/saymrwulf/onnxruntime.git
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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>
32 lines
No EOL
1.2 KiB
C++
32 lines
No EOL
1.2 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 "iengine.h"
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// ILotusValueProviderPrivate exposes a private Lotus interface to the engine so that it can retrieve tensor
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// resources stored in winrt structures.
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namespace _winml {
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class PoolObjectWrapper;
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enum class BindingType { kInput,
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kOutput };
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struct BindingContext {
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BindingType type = BindingType::kInput;
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winml::LearningModelSession session = nullptr;
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winml::ILearningModelFeatureDescriptor descriptor = nullptr;
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wfc::IPropertySet properties = nullptr;
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std::shared_ptr<PoolObjectWrapper> converter;
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};
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struct __declspec(uuid("27e2f437-0112-4693-849e-e04323a620fb")) __declspec(novtable) ILotusValueProviderPrivate : IUnknown {
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virtual HRESULT __stdcall GetValue(BindingContext& binding_context, _winml::IValue** out) = 0;
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virtual HRESULT __stdcall IsPlaceholder(bool* is_placeholder) = 0;
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virtual HRESULT __stdcall UpdateSourceResourceData(BindingContext& binding_context, _winml::IValue* value) = 0;
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virtual HRESULT __stdcall AbiRepresentation(wf::IInspectable& abi_representation) = 0;
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};
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} // namespace _winml
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