cupyx.scipy.fftpack.ifftn#

cupyx.scipy.fftpack.ifftn(x, shape=None, axes=None, overwrite_x=False, plan=None)[source]#

Compute the N-dimensional inverse FFT.

Parameters:

x (cupy.ndarray) – Array to be transformed.
shape (None or tuple of ints) – Shape of the transformed axes of the output. If shape is not given, the lengths of the input along the axes specified by axes are used.
axes (tuple of ints) – Axes over which to compute the FFT.
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, axes)
```
Note that plan is defaulted to None, meaning CuPy will either use an auto-generated plan behind the scene if cupy.fft.config. enable_nd_planning = True, or use no cuFFT plan if it is set to False.

Returns:

The transformed array which shape is specified by shape and type will convert to complex if that of the input is another.

Return type:

cupy.ndarray