(self, ary, shift_ary, value=True, out=None)
return out
Shifts input array

        Arguments:
            ary: tensor
            shift_ary: tensor of shift amount
            out: reference to output
Shifts input array
Shifts input array
def shift(self, ary, shift_ary, value=True, out=None):
        """
        Shifts input array

        Arguments:
            ary: tensor
            shift_ary: tensor of shift amount
            out: reference to output
        """
        if value:
            exp = self.rint(self.safelog(self.absolute(shift_ary))/self.log(2))
            ap2 = self.multiply(self.sgn(shift_ary), self.exp2(exp))
        else:
            ap2 = self.exp2(shift_ary)

        if out is None:
            if hasattr(ary, 'shape'):
                out = self.empty_like(ary)
            else:
                out = self.empty((1, 1))
        out[:] = self.multiply(ary, ap2)
        return out
def shift ( self , ary , shift_ary , value = True , out = None ) : if value : exp = self . rint ( self . safelog ( self . absolute ( shift_ary ) ) / self . log ( 2 ) ) ap2 = self . multiply ( self . sgn ( shift_ary ) , self . exp2 ( exp ) ) else : ap2 = self . exp2 ( shift_ary ) if out is None : if hasattr ( ary , 'shape' ) : out = self . empty_like ( ary ) else : out = self . empty ( ( 1 , 1 ) ) out [ : ] = self . multiply ( ary , ap2 ) return out