torch序列化

同一张文件需要7ms左右：

  

   

    

     

    
    

     

      import time
     
    
   

    

     

    
    

     

      import torch
     
    
   

    

     

    
    

     

      import torch.nn.functional as f
     
    
   

    

     

    
    

     

      if __name__ == '__main__':
     
    
   

    

     

    
    

     
 for i in range(200):
     
    
   

    

     

    
    

     

       x = torch.rand(1, 3, 1280, 720)
     
    
   

    

     

    
    

     
 # torch.set_num_threads(3)
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

       torch.save(x, 'd:/lib/'+str(0)+'.dat')
     
    
   

    

     

    
    

     

       start = time.time()
     
    
   

    

     

    
    

     

       aaa= torch.load('d:/lib/'+str(0)+'.dat')
     
    
   

    

     

    
    

     

       print('time4', time.time() - start,aaa.size())
     
    
  
 

import time
from distributed.protocol import serialize, deserialize
import cv2
import torch
import torch.nn.functional as f
if __name__ == '__main__':
obj={'mat':torch.randn(10, 10),'name': '10','test':{'entry':1}}
torch.save(obj,'test.dat' )
for i in range(1000):
img = cv2.imread('

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原文链接：blog.csdn.net/jacke121/article/details/84342788