cupy.fft.rfft

cupy.fft.rfft(a, n=None, axis=-1, norm=None)[source]

Compute the one-dimensional FFT for real input.

Parameters:
  • a (cupy.ndarray) – Array to be transform.
  • n (None or int) – Number of points along transformation axis in the input to use. If n is not given, the length of the input along the axis specified by axis is used.
  • axis (int) – Axis over which to compute the FFT.
  • norm (None or "ortho") – Keyword to specify the normalization mode.
Returns:

The transformed array which shape is specified by n and type will convert to complex if the input is other. The length of the transformed axis is n//2+1.

Return type:

cupy.ndarray

See also

numpy.fft.rfft()