cupyx.scipy.fft.rfftn(x, s=None, axes=None, norm=None, overwrite_x=False, *, plan=None)[source]#

Compute the N-dimensional FFT for real input.

  • a (cupy.ndarray) – Array to be transform.

  • s (None or tuple of ints) – Shape to use from the input. If s is not given, the lengths of the input along the axes specified by axes are used.

  • axes (tuple of ints) – Axes over which to compute the FFT.

  • norm ("backward", "ortho", or "forward") – Optional keyword to specify the normalization mode. Default is None, which is an alias of "backward".

  • overwrite_x (bool) – If True, the contents of x can be destroyed.

  • plan (cupy.cuda.cufft.PlanNd or None) –

    a cuFFT plan for transforming x over axes, which can be obtained using:

    plan = cupyx.scipy.fftpack.get_fft_plan(x, s, axes,

    Note that plan is defaulted to None, meaning CuPy will use an auto-generated plan behind the scene.


The transformed array which shape is specified by s and type will convert to complex if the input is other. The length of the last axis transformed will be s[-1]//2+1.

Return type: