154 lines
4.0 KiB
C++
154 lines
4.0 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
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#ifndef CORE_SDK_MODEL_H
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#define CORE_SDK_MODEL_H
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#include <functional>
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#include <memory>
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#include <string>
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#include <vector>
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#include "serialization.h"
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#include "types.h"
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namespace mmdeploy {
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struct model_meta_info_t {
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std::string name;
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std::string net;
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std::string weights;
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std::string backend;
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int batch_size;
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std::string precision;
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bool dynamic_shape;
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MMDEPLOY_ARCHIVE_MEMBERS(name, net, weights, backend, batch_size, precision, dynamic_shape);
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};
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struct deploy_meta_info_t {
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std::string version;
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std::vector<model_meta_info_t> models;
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MMDEPLOY_ARCHIVE_MEMBERS(version, models);
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};
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class ModelImpl;
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/**
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* @class Model
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* @brief Read sdk model from file.
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* @note there might be more than one models in an sdk model file. For example,
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* in case of faster-rcnn model, it splits into two models, one is rpn and the
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* other is cnn for roi classification.
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*/
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class MMDEPLOY_API Model {
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public:
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Model() = default;
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/**
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* @brief construct `Model` with an sdk model's path
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* @param model_path file path of an sdk model. It can be a file or a
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* directory. Refer to `Load`
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* @note An exception might be threw. `Try...catch...` is strongly recommended
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* when this constructor is used
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*/
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explicit Model(const std::string& model_path);
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Model(const void* buffer, size_t size);
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~Model() = default;
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/**
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* @brief Load an sdk model.
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* @param model_path file path of an sdk model. It can be a file or a
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* directory.
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* @return status with an error code.
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*/
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Result<void> Init(const std::string& model_path);
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Result<void> Init(const void* buffer, size_t size);
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/**
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* @brief Return a specified model's meta info
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* @param name the name of a model in sdk model file
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* @return
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*/
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Result<model_meta_info_t> GetModelConfig(const std::string& name) const;
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/**
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* @brief Read specified file from an sdk model
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* @param file_path path relative to the root directory of an sdk model.
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* @return the content of specified file if success, which can be accessed by
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* `Result<T>.value()`. Otherwise, error code is returned that can be obtained
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* by `Result<T>.error()`
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*/
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Result<std::string> ReadFile(const std::string& file_path) noexcept;
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/**
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* @brief get meta information of an sdk model
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* @return sdk model's meta information
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*/
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const deploy_meta_info_t& meta() const { return meta_; }
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/**
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* @brief Check if an instance of `Model` is valid
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* @return the status of an instance of `Model`
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*/
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explicit operator bool() const { return impl_ != nullptr; }
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private:
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std::shared_ptr<ModelImpl> impl_;
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deploy_meta_info_t meta_;
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};
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/**
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* @class ModelRegistry
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* @brief SDK model implementor's factory. The following code shows how to
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* register a new implementor to the factory.
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* @example
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* class ANewModelImpl : public ModelImpl {
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* };
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* class ANewModelImplRegister {
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* public:
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* ANewModelImplRegister() {
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* ModelRegistry::Get().Register("ANewModelImpl",
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* []()->unique_ptr<ModelImpl>{return make_unique<ANewModelImpl>();});
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* }
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* };
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* ANewModelImplRegister a_new_model_impl_register;
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*/
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class MMDEPLOY_API ModelRegistry {
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public:
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using Creator = std::function<std::unique_ptr<ModelImpl>()>;
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struct Entry {
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std::string name;
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Creator creator;
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};
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/**
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* @brief Return global instance of `ModelRegistry`
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*/
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static ModelRegistry& Get();
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/**
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* @brief Register an sdk model format denoted by an specified `ModelImpl`
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* @param name sdk model implementor's name
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* @param creator method to create an sdk model implementor
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* @return Status of registering result
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*/
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Result<void> Register(const std::string& name, Creator creator);
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/**
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* @brief Return the registered sdk model implementors
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*/
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const std::vector<Entry>& ListEntries() const { return entries_; }
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private:
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ModelRegistry() = default;
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private:
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std::vector<Entry> entries_;
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};
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} // namespace mmdeploy
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#endif // !CORE_SDK_MODEL_H
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