# cupyx.scipy.ndimage.gaussian_filter¶

cupyx.scipy.ndimage.gaussian_filter(input, sigma, order=0, output=None, mode='reflect', cval=0.0, truncate=4.0)

Multi-dimensional Gaussian filter.

Parameters
• input (cupy.ndarray) – The input array.

• sigma (scalar or sequence of scalar) – Standard deviations for each axis of Gaussian kernel. A single value applies to all axes.

• order (int or sequence of scalar) – An order of 0, the default, corresponds to convolution with a Gaussian kernel. A positive order corresponds to convolution with that derivative of a Gaussian. A single value applies to all axes.

• 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.

• truncate (float) – Truncate the filter at this many standard deviations. Default is 4.0.

Returns

The result of the filtering.

Return type

cupy.ndarray

Note

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.