`scipy.fft._basic:ihfft2`

source: /scipy/fft/_basic.py :1624

Signature

   def     ihfft2 (    x    ,    s    =  None   ,    axes    =  (-2, -1)   ,    norm    =  None   ,    overwrite_x    =  False   ,    workers    =  None   ,  * ,     plan    =  None     )

Summary

Compute the 2-D inverse FFT of a real spectrum.

Parameters

x : array_like: The input array
s : sequence of ints, optional: Shape of the real input to the inverse FFT.
axes : sequence of ints, optional: The axes over which to compute the inverse fft. Default is the last two axes.
norm : {"backward", "ortho", "forward"}, optional: Normalization mode (see fft). Default is "backward".
overwrite_x : bool, optional: If True, the contents of x can be destroyed; the default is False. See fft for more details.
workers : int, optional: Maximum number of workers to use for parallel computation. If negative, the value wraps around from os.cpu_count(). See fft for more details.
plan : object, optional: This argument is reserved for passing in a precomputed plan provided by downstream FFT vendors. It is currently not used in SciPy.
versionadded 1.5.0

Returns

out : ndarray: The result of the inverse real 2-D FFT.

Notes

This is really ihfftn with different defaults. For more details see ihfftn.

Array API Standard Support

ihfft2 has experimental support for Python Array API Standard compatible backends in addition to NumPy. Please consider testing these features by setting an environment variable SCIPY_ARRAY_API=1 and providing CuPy, PyTorch, JAX, or Dask arrays as array arguments. The following combinations of backend and device (or other capability) are supported.

====================  ====================  ====================
Library               CPU                   GPU
====================  ====================  ====================
NumPy                 ✅                     n/a                 
CuPy                  n/a                   ✅                   
PyTorch               ✅                     ✅                   
JAX                   ✅                     ✅                   
Dask                  ⚠️ computes graph     n/a                 
====================  ====================  ====================

See dev-arrayapi for more information.

Aliases