How to batch convert sentence lengths to masks in PyTorch?












2















For example, from



lens = [3, 5, 4]


we want to get



mask = [[1, 1, 1, 0, 0],

        [1, 1, 1, 1, 1],

        [1, 1, 1, 1, 0]]


Both of which are torch.LongTensors.






nlp pytorch







share|improve this question





























    2















    For example, from



    lens = [3, 5, 4]


    we want to get



    mask = [[1, 1, 1, 0, 0],
    
        [1, 1, 1, 1, 1],
    
        [1, 1, 1, 1, 0]]


    Both of which are torch.LongTensors.






    nlp pytorch







    share|improve this question



























      2












      2








      2


      1






      For example, from



      lens = [3, 5, 4]


      we want to get



      mask = [[1, 1, 1, 0, 0],
      
        [1, 1, 1, 1, 1],
      
        [1, 1, 1, 1, 0]]


      Both of which are torch.LongTensors.






      nlp pytorch







      share|improve this question
















      For example, from



      lens = [3, 5, 4]


      we want to get



      mask = [[1, 1, 1, 0, 0],
      
        [1, 1, 1, 1, 1],
      
        [1, 1, 1, 1, 0]]


      Both of which are torch.LongTensors.






      nlp pytorch




      nlp pytorch






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 20 '18 at 23:58







      0472037

















      asked Nov 20 '18 at 23:47









      04720370472037

      517




      517
























          1 Answer
          1






          active

          oldest

          votes


















          4














          One way that I found is:



          torch.arange(max_len).expand(len(lens), max_len) < lens.unsqueeze(1)


          Please share if there are better ways!






          share|improve this answer























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            1 Answer
            1






            active

            oldest

            votes








            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            4














            One way that I found is:



            torch.arange(max_len).expand(len(lens), max_len) < lens.unsqueeze(1)


            Please share if there are better ways!






            share|improve this answer




























              4














              One way that I found is:



              torch.arange(max_len).expand(len(lens), max_len) < lens.unsqueeze(1)


              Please share if there are better ways!






              share|improve this answer


























                4












                4








                4







                One way that I found is:



                torch.arange(max_len).expand(len(lens), max_len) < lens.unsqueeze(1)


                Please share if there are better ways!






                share|improve this answer













                One way that I found is:



                torch.arange(max_len).expand(len(lens), max_len) < lens.unsqueeze(1)


                Please share if there are better ways!







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 20 '18 at 23:58









                04720370472037

                517




                517
































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