cupyx.scipy.signal.oaconvolve#

cupyx.scipy.signal.oaconvolve(in1, in2, mode='full', axes=None)[source]#

Convolve two N-dimensional arrays using the overlap-add method.

Convolve in1 and in2 using the overlap-add method, with the output size determined by the mode argument. This is generally faster than convolve for large arrays, and generally faster than fftconvolve when one array is much larger than the other, but can be slower when only a few output values are needed or when the arrays are very similar in shape, and can only output float arrays (int or object array inputs will be cast to float).

Parameters:

in1 (cupy.ndarray) – First input.
in2 (cupy.ndarray) – Second input. Should have the same number of dimensions as in1.
mode (str) –
Indicates the size of the output:
- 'full': output is the full discrete linear cross-correlation (default)
- 'valid': output consists only of those elements that do not rely on the zero-padding. Either in1 or in2 must be at least as large as the other in every dimension.
- 'same': output is the same size as in1, centered with respect to the 'full' output
axes (scalar or tuple of scalar or None) – Axes over which to compute the convolution. The default is over all axes.

Returns: