I want to apply a function for each row of tensor independly. This function have ‘while’ inside it self, so it would be non-linear transformation.
I was thinking about using apply 268, but look like that it is not the best method, because it need CPU data and it is not high performance (?) based on documentation.
I would like to work it like that:
data_trans = data.apply(lambda x :  my_function(t))