- cupyx.scipy.fft.irfftn(x, s=None, axes=None, norm=None, overwrite_x=False, *, plan=None)[source]#
Compute the N-dimensional inverse FFT for real input.
a (cupy.ndarray) – Array to be transform.
s (None or tuple of ints) – Shape of the output. If
sis not given, they are determined from the lengths of the input along the axes specified by
axes (tuple of ints) – Axes 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
axes, which can be obtained using:
plan = cupyx.scipy.fftpack.get_fft_plan(x, s, axes, value_type='C2R')
planis defaulted to
None, meaning CuPy will use an auto-generated plan behind the scene.
The transformed array which shape is specified by
sand type will convert to complex if the input is other. If
sis 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.
- Return type