- cupyx.scipy.fft.fft(x, n=None, axis=-1, norm=None, overwrite_x=False, *, plan=None)#
Compute the one-dimensional FFT.
x (cupy.ndarray) – Array to be transformed.
n (None or int) – Length of the transformed axis of the output. If
nis not given, the length of the input along the axis specified by
axis (int) – Axis over which to compute the FFT.
"forward") – Optional keyword to specify the normalization mode. Default is
None, which is an alias of
overwrite_x (bool) – If True, the contents of
xcan be destroyed.
a cuFFT plan for transforming
axis, which can be obtained using:
plan = cupyx.scipy.fftpack.get_fft_plan(x, n, axis)
planis defaulted to
None, meaning CuPy will use an auto-generated plan behind the scene.
The transformed array which shape is specified by
nand type will convert to complex if that of the input is another.
- Return type: