# cupyx.scipy.fft.irfftn¶

cupyx.scipy.fft.irfftn(x, s=None, axes=None, norm=None, overwrite_x=False)

Compute the N-dimensional inverse FFT for real input.

Parameters: a (cupy.ndarray) – Array to be transform. s (None or tuple of ints) – Shape of the output. If s is not given, they are determined from the lengths of the input along the axes specified by axes. axes (tuple of ints) – Axes over which to compute the FFT. norm (None or "ortho") – Keyword to specify the normalization mode. overwrite_x (bool) – If True, the contents of x can be destroyed. The transformed array which shape is specified by s and type will convert to complex if the input is other. If s is not given, the length of final transformed axis of output will be 2*(m-1) where m is the length of the final transformed axis of the input. cupy.ndarray

Warning

The input array may be modified in CUDA 10.1 and above, even when overwrite_x is False.