cupyx.scipy.signal.convolve2d

cupyx.scipy.signal.convolve2d(in1, in2, mode='full', boundary='fill', fillvalue=0)[source]

Convolve two 2-dimensional arrays.

Convolve in1 and in2 with output size determined by mode, and boundary conditions determined by boundary and fillvalue.

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 convolution (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

  • boundary (str) –

    Indicates how to handle boundaries:

    • fill: pad input arrays with fillvalue (default)

    • wrap: circular boundary conditions

    • symm: symmetrical boundary conditions

  • fillvalue (scalar) – Value to fill pad input arrays with. Default is 0.

Returns

A 2-dimensional array containing a subset of the discrete

linear convolution of in1 with in2.

Return type

cupy.ndarray

See also

cupyx.scipy.signal.convolve()

See also

cupyx.scipy.signal.fftconvolve()

See also

cupyx.scipy.signal.oaconvolve()

See also

cupyx.scipy.signal.correlate2d()

See also

cupyx.scipy.ndimage.convolve()

See also

scipy.signal.convolve2d()