mirror of
https://github.com/saymrwulf/onnxruntime.git
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eeef157888
winml/ was previously excluded from lintrunner config. This change includes the directory and adds the clang-format config file specific to winml/ that fits existing style. --------- Signed-off-by: Justin Chu <justinchu@microsoft.com>
119 lines
3.6 KiB
C++
119 lines
3.6 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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// clang-format off
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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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// clang-format on
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class ModelInfo
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: public Microsoft::WRL::RuntimeClass<Microsoft::WRL::RuntimeClassFlags<Microsoft::WRL::ClassicCom>, 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(SetName)
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(const char* name);
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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_ = 0;
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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
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: public Microsoft::WRL::
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RuntimeClass<Microsoft::WRL::RuntimeClassFlags<Microsoft::WRL::ClassicCom>, IModel, 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(SaveModel)
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(_In_ const wchar_t* const file_name, _In_ unsigned size);
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STDMETHOD(SetName)
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(const char* name);
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STDMETHOD(DetachOrtModel)
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(OrtModel** model);
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STDMETHOD(AddOperator)
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(_In_ const char* const op_type,
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_In_ const char* const op_name,
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_In_ const char* const op_domain,
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_In_ const char* const* op_input_names,
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_In_ const char* const* actual_input_names,
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size_t num_inputs,
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_In_ const char* const* op_output_names,
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_In_ const char* const* actual_output_names,
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size_t num_outputs,
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_In_ const char* const* op_attribute_names,
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_In_ IValue** constant_value,
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size_t num_attributes);
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STDMETHOD(AddModelInput)
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(_In_ const char* const name,
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_In_ IDescriptorInfoProvider* descriptor_provider,
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bool is_constant,
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IValue* default_value);
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STDMETHOD(AddModelOutput)
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(_In_ const char* const name, _In_ IDescriptorInfoProvider* descriptor_provider);
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STDMETHOD(JoinModel)
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(_In_ IModel* other_model,
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_In_ const char* const* output_names,
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_In_ const char* const* input_names,
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size_t num_linkages,
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bool promote_unlinked_outputs,
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_In_ const char* const join_node_prefix);
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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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