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What is the difference between view and view_as in PyTorch?


Is Torch7 defined-by-run like Pytorch?What's the difference between reshape and view in pytorch?How is the print and view functions works in pytorch?Convert Pandas dataframe to PyTorch tensor?PyTorch: new_ones vs onesMatrix multiplication in pyTorchAre there any computational efficiency differences between nn.functional() Vs nn.sequential() in PyTorchSiamese Neural Network in Pytorchimplementing Swarm optimisation in pytorchWhat are the differences in SciKit Learn, Keras, or Pytorch?






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I am building neural networks in Pytorch, I see view and view_as used interchangeably in various implementation what is the difference between them?










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    1















    I am building neural networks in Pytorch, I see view and view_as used interchangeably in various implementation what is the difference between them?










    share|improve this question




























      1












      1








      1


      1






      I am building neural networks in Pytorch, I see view and view_as used interchangeably in various implementation what is the difference between them?










      share|improve this question
















      I am building neural networks in Pytorch, I see view and view_as used interchangeably in various implementation what is the difference between them?







      pytorch






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      share|improve this question













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      edited Mar 28 at 18:36







      Jibin Mathew

















      asked Mar 28 at 17:40









      Jibin MathewJibin Mathew

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          view and view_as are very similar with a slight difference, in view() method the shape of the desired output tensor is to be passed in as the parameter, whereas in view_as() a tensor whose shape is to be mimicked it passed.



          tensor.view_as(other) is equivalent to tensor.view(other.size())






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            view and view_as are very similar with a slight difference, in view() method the shape of the desired output tensor is to be passed in as the parameter, whereas in view_as() a tensor whose shape is to be mimicked it passed.



            tensor.view_as(other) is equivalent to tensor.view(other.size())






            share|improve this answer





























              1
















              view and view_as are very similar with a slight difference, in view() method the shape of the desired output tensor is to be passed in as the parameter, whereas in view_as() a tensor whose shape is to be mimicked it passed.



              tensor.view_as(other) is equivalent to tensor.view(other.size())






              share|improve this answer



























                1














                1










                1









                view and view_as are very similar with a slight difference, in view() method the shape of the desired output tensor is to be passed in as the parameter, whereas in view_as() a tensor whose shape is to be mimicked it passed.



                tensor.view_as(other) is equivalent to tensor.view(other.size())






                share|improve this answer













                view and view_as are very similar with a slight difference, in view() method the shape of the desired output tensor is to be passed in as the parameter, whereas in view_as() a tensor whose shape is to be mimicked it passed.



                tensor.view_as(other) is equivalent to tensor.view(other.size())







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Mar 28 at 17:47









                Jibin MathewJibin Mathew

                1,39712 silver badges26 bronze badges




                1,39712 silver badges26 bronze badges

































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