nvidia.dali.fn.noise.gaussian#

nvidia.dali.fn.noise.gaussian(__input, /, *, bytes_per_sample_hint=[0], mean=0.0, preserve=False, seed=-1, stddev=1.0, device=None, name=None)#

Applies gaussian noise to the input.

The shape and data type of the output will match the input.

Supported backends
  • ‘cpu’

  • ‘gpu’

Parameters:

__input (TensorList) – Input to the operator.

Keyword Arguments:
  • bytes_per_sample_hint (int or list of int, optional, default = [0]) –

    Output size hint, in bytes per sample.

    If specified, the operator’s outputs residing in GPU or page-locked host memory will be preallocated to accommodate a batch of samples of this size.

  • mean (float or TensorList of float, optional, default = 0.0) – Mean of the distribution.

  • preserve (bool, optional, default = False) – Prevents the operator from being removed from the graph even if its outputs are not used.

  • seed (int, optional, default = -1) –

    Random seed.

    If not provided, it will be populated based on the global seed of the pipeline.

  • stddev (float or TensorList of float, optional, default = 1.0) – Standard deviation of the distribution.