mirror of
https://github.com/saymrwulf/onnxruntime.git
synced 2026-05-25 22:26:24 +00:00
5350abe19d
this is a big PR. we are going to move it up to layer_dev , which is still a L3 so we are still safe to do work there agile. we are going to move this into the L3 so that ryan can start doing intergration testing. we will pause for a full code review and integration test result prior to going into the L2. >>>> raw comments from previous commits >>> * LearningModelSession is cleaned up to use the adapter, and parts of binding are. * moved everything in the winmladapter made it all nano-com using, WRL to construct objects in the ORT side. base interfaces for everythign for winml to call cleaned up a bunch of winml to use the base interfaces. * more pieces * GetData across the abi. * renamed some namepsace cleaned up OrtValue cleaned up Tensor cleaned up custom ops. everything *but* learnignmodel should be clean * make sure it's building. winml.dll is still a monolith.
79 lines
3.2 KiB
C++
79 lines
3.2 KiB
C++
// Copyright (c) Microsoft Corporation.
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// Licensed under the MIT License.
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#pragma once
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#include "LearningModelBinding.g.h"
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#include "inc/ILotusValueProviderPrivate.h"
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#include "WinMLAdapter.h"
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namespace winrt::Windows::AI::MachineLearning::implementation {
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struct LearningModelBinding : LearningModelBindingT<LearningModelBinding, ILearningModelBindingNative> {
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struct ProviderInfo {
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Windows::Foundation::IInspectable CallerSpecifiedFeatureValue = nullptr;
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winrt::com_ptr<WinML::ILotusValueProviderPrivate> Provider = nullptr;
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WinML::BindingContext Context = {};
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};
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public:
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using KeyValuePair =
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Windows::Foundation::Collections::IKeyValuePair<hstring, Windows::Foundation::IInspectable>;
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LearningModelBinding() = delete;
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LearningModelBinding(Windows::AI::MachineLearning::LearningModelSession const& session);
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void Bind(hstring const& name, Windows::Foundation::IInspectable const& value);
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void Bind(hstring const& name, Windows::Foundation::IInspectable const& value, Windows::Foundation::Collections::IPropertySet const& properties);
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void Clear();
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Windows::Foundation::Collections::IIterator<KeyValuePair> First();
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Windows::Foundation::IInspectable Lookup(hstring const& key);
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uint32_t Size();
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bool HasKey(hstring const& key);
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void Split(
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Windows::Foundation::Collections::IMapView<hstring, Windows::Foundation::IInspectable>& first,
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Windows::Foundation::Collections::IMapView<hstring, Windows::Foundation::IInspectable>& second);
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std::tuple<std::string, _winmla::IOrtValue*, WinML::BindingType> CreateBinding(
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const std::string& name,
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const Windows::Foundation::IInspectable& value,
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Windows::Foundation::Collections::IPropertySet const& properties);
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_winmla::IIOBinding* BindingCollection();
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std::unordered_map<std::string, Windows::Foundation::IInspectable> UpdateProviders();
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const Windows::AI::MachineLearning::LearningModelSession& GetSession() { return m_session; }
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STDMETHOD(Bind)
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(
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const wchar_t* name,
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UINT32 cchName,
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IUnknown* value);
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private:
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void CacheProvider(std::string name, ProviderInfo& spProvider);
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Windows::Foundation::IInspectable CreateUnboundOutput(const std::string& name, _winmla::IOrtValue* mlValue);
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ILearningModelFeatureValue CreateUnboundOuputFeatureValue(
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_winmla::IOrtValue* mlValue,
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ILearningModelFeatureDescriptor& descriptor);
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bool IsOfTensorType(_winmla::ITensor* tensorValue, TensorKind kind);
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bool IsOfMapType(_winmla::IOrtValue* mlValue, TensorKind key_kind, TensorKind value_kind);
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bool IsOfVectorMapType(_winmla::IOrtValue* mlValue, TensorKind key_kind, TensorKind value_kind);
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private:
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const Windows::AI::MachineLearning::LearningModelSession m_session;
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std::unordered_map<std::string, ProviderInfo> m_providers;
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com_ptr<_winmla::IIOBinding> m_lotusBinding;
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com_ptr<_winmla::IWinMLAdapter> adapter_;
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};
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} // namespace winrt::Windows::AI::MachineLearning::implementation
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namespace winrt::Windows::AI::MachineLearning::factory_implementation {
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struct LearningModelBinding : LearningModelBindingT<LearningModelBinding, implementation::LearningModelBinding> {
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};
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} // namespace winrt::Windows::AI::MachineLearning::factory_implementation
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