cupyx.scipy.ndimage.convolve¶

cupyx.scipy.ndimage.convolve(input, weights, output=None, mode='reflect', cval=0.0, origin=0)¶

Multi-dimensional convolution.

The array is convolved with the given kernel.

Parameters:	input (cupy.ndarray) – The input array. weights (cupy.ndarray) – Array of weights, same number of dimensions as input output (cupy.ndarray, dtype or None) – The array in which to place the output. mode (str) – The array borders are handled according to the given mode (`'reflect'`, `'constant'`, `'nearest'`, `'mirror'`, `'wrap'`). Default is `'reflect'`. cval (scalar) – Value to fill past edges of input if mode is `constant`. Default is `0.0`. origin (scalar or tuple of scalar) – The origin parameter controls the placement of the filter, relative to the center of the current element of the input. Default of 0 is equivalent to `(0,)*input.ndim`.
Returns:	The result of convolution.
Return type:	cupy.ndarray