cunumeric.fft.hfft#

cunumeric.fft.hfft(a: ndarray, n: int | None = None, axis: int = -1, norm: str | None = None) → ndarray#

Compute the FFT of a signal that has Hermitian symmetry, i.e., a real spectrum.

Parameters:

a (array_like) – The input array.
n (int, optional) – Length of the transformed axis of the output. For n output points, n//2 + 1 input points are necessary. If the input is longer than this, it is cropped. If it is shorter than this, it is padded with zeros. If n is not given, it is taken to be 2*(m-1) where m is the length of the input along the axis specified by axis.
axis (int, optional) – Axis over which to compute the FFT. If not given, the last axis is used.
norm ({"backward", "ortho", "forward"}, optional) – Normalization mode (see numpy.fft). Default is “backward”. Indicates which direction of the forward/backward pair of transforms is scaled and with what normalization factor.

Returns:

out – The truncated or zero-padded input, transformed along the axis indicated by axis, or the last one if axis is not specified. The length of the transformed axis is n, or, if n is not given, 2*m - 2 where m is the length of the transformed axis of the input. To get an odd number of output points, n must be specified, for instance as 2*m - 1 in the typical case,

Return type:

ndarray

Notes

Multi-GPU usage is limited to data parallel axis-wise batching.