cupyx.scipy.fft.irfftn#

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.

Parameters:

a (cupy.ndarray) – Array to be transform.
s (None or tuple of ints) – Shape of the output. If s is not given, they are determined from the lengths of the input along the axes specified by axes.
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,
                                        value_type='C2R')
```
Note that plan is defaulted to None, meaning CuPy will use an auto-generated plan behind the scene.

Returns:

The transformed array which shape is specified by s and type will convert to complex if the input is other. If s is 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:

cupy.ndarray