- cupyx.scipy.ndimage.convolve1d(input, weights, axis=-1, output=None, mode='reflect', cval=0.0, origin=0)#
The array is convolved with the given kernel.
input (cupy.ndarray) – The input array.
weights (cupy.ndarray) – One-dimensional array of weights
axis (int) – The axis of input along which to calculate. Default is -1.
output (cupy.ndarray, dtype or None) – The array in which to place the output. Default is is same dtype as the input.
mode (str) – The array borders are handled according to the given mode (
'wrap'). Default is
cval (scalar) – Value to fill past edges of input if mode is
'constant'. Default is
origin (int) – The origin parameter controls the placement of the filter, relative to the center of the current element of the input. Default is
The result of the 1D convolution.
- Return type:
When the output data type is integral (or when no output is provided and input is integral) the results may not perfectly match the results from SciPy due to floating-point rounding of intermediate results.