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.