onnxruntime/winml/lib/Api.Ort/OnnxruntimeDescriptorConverter.h
Sheil Kumar 2717c178cc
Fork the WinML APIs into the Microsoft namespace (#3503)
* 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>
2020-04-17 06:18:54 -07:00

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// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
#pragma once
#include "pch.h"
namespace _winml {
struct OnnxruntimeValueInfoWrapper {
OnnxruntimeValueInfoWrapper() : type_info_(UniqueOrtTypeInfo(nullptr, nullptr)) {}
const char* name_ = nullptr;
size_t name_length_ = 0;
const char* description_ = nullptr;
size_t description_length_ = 0;
UniqueOrtTypeInfo type_info_;
};
class OnnxruntimeEngineFactory;
struct OnnxruntimeDescriptorConverter {
OnnxruntimeDescriptorConverter(
OnnxruntimeEngineFactory* engine_factory,
const std::unordered_map<std::string, std::string>& model_metadata);
wfc::IVector<winml::ILearningModelFeatureDescriptor>
ConvertToLearningModelDescriptors(const std::vector<OnnxruntimeValueInfoWrapper>& descriptors);
private:
Microsoft::WRL::ComPtr<OnnxruntimeEngineFactory> engine_factory_;
const std::unordered_map<std::string, std::string>& metadata_;
};
} // namespace _winml