mirror of
https://github.com/saymrwulf/onnxruntime.git
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2717c178cc
* Migrate winml to Microsoft Namespace (packaging changes are pending) * add ns_prefix toggle * fix packaging * Users/sheilk/add missing raw header (#3484) * add dualapipartition * wrong variable for repo root Co-authored-by: Sheil Kumar <sheilk@microsoft.com> * remove existence check to force failures * extra paren * dualapipartition needs to be referenced from the source * add microsoft.ai.machinelearning.dll to the output dir * rename the idl file so that assembly info is correctly added into the winmd * fix namespaces * update namespaces * default to microsoft, and add namespace override as build argument * update cmakesetings.json as well * remove from cmakelists.txt Co-authored-by: Sheil Kumar <sheilk@microsoft.com> Co-authored-by: Changming Sun <chasun@microsoft.com>
80 lines
No EOL
2.5 KiB
C++
80 lines
No EOL
2.5 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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namespace _winml {
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class OnnxruntimeEngineFactory;
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// The IOrtSessionBuilder offers an abstraction over the creation of
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// InferenceSession, that enables the creation of the session based on a device (CPU/DML).
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MIDL_INTERFACE("92679cbf-7a9d-48bb-b97f-ef9fb447ce8e")
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IOnnxruntimeModel : IUnknown {
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virtual HRESULT STDMETHODCALLTYPE DetachOrtModel(OrtModel * *model) PURE;
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};
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class ModelInfo : public Microsoft::WRL::RuntimeClass<
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Microsoft::WRL::RuntimeClassFlags<Microsoft::WRL::ClassicCom>,
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IModelInfo> {
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public:
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HRESULT RuntimeClassInitialize(_In_ OnnxruntimeEngineFactory* engine, _In_ OrtModel* ort_model);
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STDMETHOD(GetAuthor)
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(const char** out, size_t* len);
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STDMETHOD(GetName)
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(const char** out, size_t* len);
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STDMETHOD(GetDomain)
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(const char** out, size_t* len);
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STDMETHOD(GetDescription)
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(const char** out, size_t* len);
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STDMETHOD(GetVersion)
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(int64_t* out);
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STDMETHOD(GetModelMetadata)
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(ABI::Windows::Foundation::Collections::IMapView<HSTRING, HSTRING>** metadata);
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STDMETHOD(GetInputFeatures)
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(ABI::Windows::Foundation::Collections::IVectorView<winml::ILearningModelFeatureDescriptor>** features);
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STDMETHOD(GetOutputFeatures)
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(ABI::Windows::Foundation::Collections::IVectorView<winml::ILearningModelFeatureDescriptor>** features);
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private:
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std::string author_;
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std::string name_;
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std::string domain_;
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std::string description_;
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int64_t version_;
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std::unordered_map<std::string, std::string> model_metadata_;
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wfc::IVector<winml::ILearningModelFeatureDescriptor> input_features_;
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wfc::IVector<winml::ILearningModelFeatureDescriptor> output_features_;
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};
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class OnnruntimeModel : public Microsoft::WRL::RuntimeClass<
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Microsoft::WRL::RuntimeClassFlags<Microsoft::WRL::ClassicCom>,
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IModel,
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IOnnxruntimeModel> {
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public:
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OnnruntimeModel();
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HRESULT RuntimeClassInitialize(OnnxruntimeEngineFactory* engine, UniqueOrtModel&& ort_model);
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STDMETHOD(GetModelInfo)
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(IModelInfo** info);
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STDMETHOD(ModelEnsureNoFloat16)
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();
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STDMETHOD(CloneModel)
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(IModel** copy);
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STDMETHOD(DetachOrtModel)
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(OrtModel** model);
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private:
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UniqueOrtModel ort_model_;
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Microsoft::WRL::ComPtr<OnnxruntimeEngineFactory> engine_factory_;
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Microsoft::WRL::ComPtr<ModelInfo> info_;
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std::optional<std::unordered_map<std::string, std::string>> metadata_cache_;
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};
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} // namespace _winml
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