Hello, I’m trying to contribute to the pytorch package to make deterministic splits easier with this function:

  
      github.com/pytorch/pytorch
  
  
    
  
	  
  

  
    
      feature: deterministic random_split 5
    

    
      
        opened 
        
          
        
        Jan 21, 2020
      
      


      
        
          
          artemisart
        
      
    
  



  🚀 Feature
Option to provide a seed (random_state) for random_split() like the sklearn API https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html.
Motivation
Useful for deterministic sampling & reproducible data generation...



    feature
    module: random
    triaged


  
  
    
    
  
  


What do you think about it? Do you think it would be useful? Thanks.
I got no update on the issue (and tried to register to slack - no update either), should I make a PR or just wait?