The question about Serialize class and CRuntimeClass

本文介绍MFC框架下如何实现对象的序列化,并通过一个具体示例详细讲解了使用CRuntimeClass进行对象动态创建的过程。同时,文章还探讨了序列化过程中的一些常见问题及解决方案。

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    We all know class can't store in memory directly.But also we have our own method to load it into memory.MFC CObject give a
override fuction Serialize can satisfy our need.Here,I give you a example for serialize!
   first of all,I should create a Person class as a object example,which must inherit from MFC CObject otherwise you can't
get a serial class.we must talk about CRuntimeClass, which you must master it how to create a objct class and make use of it
fluently if you wanna get a serial class from a file or something else. so what is it? maybe you never use it and you just only see from here,but it's OK,I will tell you about CRuntimeClass Details.Let me see the MFC give it definition.
  Its structure like this:
struct CRuntimeClass
{
// Attributes
 LPCSTR m_lpszClassName;
 int m_nObjectSize;
 UINT m_wSchema;                                     // schema number of the loaded class
 CObject* (PASCAL* m_pfnCreateObject)();             // NULL => abstract class
 CRuntimeClass* (PASCAL* m_pfnGetBaseClass)();
                .
                .
                .
 CRuntimeClass* m_pBaseClass;

// Operations
 CObject* CreateObject();
 BOOL IsDerivedFrom(const CRuntimeClass* pBaseClass) const;

// Implementation
 void Store(CArchive& ar) const;
 static CRuntimeClass* PASCAL Load(CArchive& ar, UINT* pwSchemaNum);

                                       // CRuntimeClass objects linked together in simple list
 CRuntimeClass* m_pNextClass;          // linked list of registered classes
};
I write an application of Win32 Console precdure as a CRutimeClass example.

#include<iostream>
#include<CString>
using namespace std;
class CObject;
struct CRuntimeClass
{
char *m_lpszClassName;                        //name class
CObject *(__stdcall* m_pfnCreateObject)();    //function pointer of object constructor
CObject *_stdcall CreateObject();             //definition
};

class CObject
{
 public:
     virtual void show()
                     {cout << "hi---> CObject!" << endl; }
};
class myClass :public CObject
{
 public:
       virtual void show()
                  { cout << "hi---->myClass!" << endl;}
public:
  static CRuntimeClass classMyclass;          //define CRuntimeClass variable as information table
  static CRuntimeClass *GetRunTimeClass();    //Get function of pointer from informatin table
};
CObject *__stdcall CeateObject()
{
   return new myClass;
}
CRuntimeClass myClass::classMyclass = {"myClass",CreateObject};
CRuntimeClass *myClass:GetRuntimeClass()
{
  return &myClass::classMyClass;
}

// main function
void main(void)
{
char _lpszCLS[10];
cout << "please input class name:" ;
cin >> _lpszCLS;
CRuntimeClass *p = myClass::GetRuntimeClass();
if (!strcmp(p->m_lpszClassName,_lpszCLS))
{
   CObject *_stdcall pp = p->m_pfnCreateObject();
   pp->show();
}
else
{
   cout << "can't find class name!" << endl;
}
}
  If you create a class like this form :
 class myClass:public CObject
{
    private:
         int m_X;
public:
     myClass(int x):m_X(x){}                         //here,you should notice it???
   virtual void show() {cout << "sth...." << endl;}
   public:
      static CRuntimeClass classMyclass;
      static CRuntimeClass *GetRuntimeClass();
};

  you will see  "error......"  why? do you know why? because constructor can't have parameter if you wanna create a class
dynamicly. you must define a constructor that not have parameter.I give you a simple application using serial and CRuntimeClass. here,you must inpocorate the IMPLEMENT_SERIAL macro and declare DECLARE_SERIAL .
  class Person:public CObject
   {
     public:
        Person();
 virtual ~Person();
        void show();
     public:
        CString m_Name;
 int m_Age;
 CString m_Gender;
     public:
        virtual void Serialize(CArchive &ar);
     DECLARE_SERIAL(Person)
   };
//..........cpp
  IMPLEMNET_SERIAL(Person,CObject,1)
   void Person::show()
   {
     CString strTemp;
     strTemp.Format(_T(%s:%d:%s),this->m_Name,this->m_Age,this->m_Gender);
   }
   
 void Person::Serialize(CArchive &ar)
 {
      if (ar.IsStoring())
        {
           ar << m_Name << m_Age << m_Gender;
        }
        else
        {
          ar >> m_Name >> m_Age >> m_Gender;
        }
 }
 I create a Dialog for display Person object like this:
   void CSerialDlg::OnShow()
{
 // TODO: Add your control notification handler code here
 pPerson = new Person();
 this->pPerson->m_name = _T("xiaohe");
 this->pPerson->m_age = 23;
 this->pPerson->m_sex = _T("male");
 this->pPerson->show(); //
 delete pPerson;
}

void CSerialDlg::OnShowFile()
{
 // TODO: Add your control notification handler code here
 pObj = new Person();
 this->pObj->m_name = _T("xiaohe");
 this->pObj->m_age = 23;
 this->pObj->m_sex = _T("male");

 //将对象person序列化到文件中
 CFile myFile;
 myFile.Open("d://mydata.txt",CFile::modeCreate|CFile::modeWrite);
 CArchive ar(&myFile,CArchive::store);
 ar << pObj;
 ar.Close();
 myFile.Close();
 delete pObj;
 
}
void CSerialDlg::OnReadShow()
{
 // TODO: Add your control notification handler code here
 CObject *pObj = NULL;
 CFile myFile;
 myFile.Open("d://mydata.txt",CFile::modeRead);
 CArchive ar(&myFile,CArchive::load);
 ar >> pObj;
                                                    //判断对象的数据了类型;
 CRuntimeClass *pClassObj = pObj->GetRuntimeClass();//运行时的类
 CString strTemp(pClassObj->m_lpszClassName);
 if (strTemp == "Person")                           //判断是不是Person类
 {
     Person *pPerson = (Person*)pObj;
     pPerson->show();
 }
 else
 {
  AfxMessageBox(_T("It's not what you wanna get Object"));
 }
 ar.Close();
 myFile.Close();
}
Pay attention to the last function,it create a class dynamicly and get the object that whether what you need or not.

<think>好的,我现在需要帮用户解决如何通过API直接创建模型并将其序列化到流中的问题。首先,我需要确定用户的具体需求。他们可能在使用某个机器学习框架,比如TensorFlow或PyTorch,想要了解如何通过编程接口创建模型,然后将模型保存到流中,而不是直接保存到文件。这可能是因为他们需要将模型传输到其他地方,比如网络或内存中处理。 接下来,我需要考虑不同框架的实现方式。例如,TensorFlow和Keras、PyTorch以及Scikit-learn都有不同的API和序列化方法。我应该分别介绍这些主流框架的方法,这样用户可以根据自己使用的工具选择适合的步骤。 对于TensorFlow/Keras,用户可能需要知道如何使用`tf.keras.models.Sequential`或函数式API创建模型,然后使用`model.save()`结合`io.BytesIO`将模型保存到内存流。这里需要提到HDF5格式和SavedModel格式的区别,以及如何正确使用这些格式。 然后是PyTorch的情况。PyTorch通常使用`torch.save()`来保存模型的状态字典,用户可能需要了解如何将状态字典保存到字节流中,以及如何从流中加载回来。需要注意的是PyTorch的序列化依赖pickle,可能存在安全风险,这点也应该提醒用户。 Scikit-learn的模型通常使用joblib或pickle进行序列化。这里可以展示如何使用`pickle.dump()`和`pickle.load()`结合`io.BytesIO`来处理内存中的序列化。同时,要提到joblib在处理大型numpy数组时的优势,但用户可能更倾向于使用内置的pickle模块,特别是当他们需要轻量级解决方案时。 在组织内容时,应该分步骤说明每个框架的具体实现方法,并给出代码示例,这样用户可以直接参考并应用。同时,需要注意代码的正确性,比如在TensorFlow中使用`save()`时需要指定`save_format`,特别是当使用HDF5格式时,可能需要额外的依赖库如h5py,这也是需要提及的。 还需要考虑用户可能遇到的常见问题。例如,在PyTorch中,保存整个模型和仅保存状态字典的区别,以及如何确保在加载模型时模型结构已经定义好。此外,不同框架的版本差异可能导致API的变化,应该建议用户查阅对应版本的文档以确保兼容性。 最后,总结部分需要强调根据使用的框架选择合适的方法,并提醒注意安全性和版本兼容性问题。这样用户能够有一个清晰的思路,根据他们的具体环境选择正确的序列化策略。</think>通过API直接创建模型并序列化到流中的步骤(以常见机器学习框架为例): 1. TensorFlow/Keras 实现流程: ```python import tensorflow as tf from tensorflow.keras import layers import io # 创建模型 model = tf.keras.Sequential([ layers.Dense(64, activation='relu'), layers.Dense(10, activation='softmax') ]) # 编译模型 model.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics=['accuracy']) # 序列化到内存流 stream = io.BytesIO() model.save(stream, save_format='h5') # 或使用SavedModel格式 stream.seek(0) # 重置指针位置 # 从流加载模型 loaded_model = tf.keras.models.load_model(stream) ``` 2. PyTorch 实现方案: ```python import torch import torch.nn as nn import io # 定义模型类 class SimpleNN(nn.Module): def __init__(self): super().__init__() self.fc1 = nn.Linear(784, 64) self.fc2 = nn.Linear(64, 10) def forward(self, x): x = torch.relu(self.fc1(x)) return torch.softmax(self.fc2(x), dim=1) # 实例化并保存到流 model = SimpleNN() buffer = io.BytesIO() torch.save(model.state_dict(), buffer) buffer.seek(0) # 加载模型参数 loaded_model = SimpleNN() loaded_model.load_state_dict(torch.load(buffer)) ``` 3. Scikit-learn 实现方式: ```python from sklearn.ensemble import RandomForestClassifier import pickle import io # 创建模型 model = RandomForestClassifier(n_estimators=100) # 训练后序列化 stream = io.BytesIO() pick
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