@@ -1522,15 +1522,9 @@ def setup_fft(self, real_spectral_coefficients=False):
15221522 self .add_component ('u' )
15231523
15241524 self .global_shape = (len (self .components ),) + tuple (me .N for me in self .axes )
1525- self .forward_alignment = 0
1526- self .backward_alignment = 0
15271525
15281526 axes = tuple (i for i in range (len (self .axes )))
15291527 self .fft_obj = self .get_pfft (axes = axes )
1530- if self .fft_obj is not None :
1531-
1532- self .backward_alignment = self .newDistArray (self .fft_obj , forward_output = False , rank = 1 ).alignment
1533- self .forward_alignment = self .newDistArray (self .fft_obj , forward_output = True , rank = 1 ).alignment
15341528
15351529 self .init = (
15361530 np .empty (shape = self .global_shape )[
@@ -1683,7 +1677,7 @@ def transform(self, u, *args, axes=None, padding=None, **kwargs):
16831677
16841678 if padding is not None :
16851679 _out /= np .prod (padding )
1686- return _out . redistribute ( self . forward_alignment )
1680+ return _out
16871681
16881682 def itransform (self , u , * args , axes = None , padding = None , ** kwargs ):
16891683 if padding is not None :
@@ -1713,7 +1707,7 @@ def itransform(self, u, *args, axes=None, padding=None, **kwargs):
17131707
17141708 if padding is not None :
17151709 _out *= np .prod (padding )
1716- return _out . redistribute ( self . backward_alignment )
1710+ return _out
17171711
17181712 def get_local_slice_of_1D_matrix (self , M , axis ):
17191713 """
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