cupyx.scipy.ndimage.convolve1d(input, weights, axis=-1, output=None, mode='reflect', cval=0.0, origin=0)

One-dimensional convolution.

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 ('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 (int) – The origin parameter controls the placement of the filter, relative to the center of the current element of the input. Default is 0.


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.