bug fixed for cupyx.scipy.fftpack.get_fft_plan
@@ -3,13 +3,13 @@ from cupy.cuda import cufft
from cupy.fft.fft import _fft, _default_fft_func, _convert_fft_type, get_cufft_plan_nd
-def get_fft_plan(a, value_type, axes=None, order='C'):
+def get_fft_plan(a, value_type='C2C', axes=None, order='C'):
""" Generate a CUDA FFT plan for transforming up to three axes.
This is a convenient handle to cupy.fft.fft.get_cufft_plan_nd.
Args:
a (cupy.ndarray): Array to be transform.
- value_type ('C2C', 'Z2Z'}): The FFT type to perform.
+ value_type ('C2C'): The FFT type to perform.
Currently only complex-to-complex transforms are supported.
axes (None or int or tuple of int): The axes of the array to
transform. Currently, these must be a set of up to three adjacent
