nvidia.dali.fn.normal_distribution¶
-
nvidia.dali.fn.
normal_distribution
(*inputs, **kwargs)¶ Warning
This operator is now deprecated. Use
random.normal()
instead.Generates random numbers following a normal distribution.
The shape of the generated data can be either specified explicitly with a
shape
argument, or chosen to match the shape of the input, if provided. If none are present, a single value per sample is generated.- Supported backends
‘cpu’
‘gpu’
- Parameters
input (TensorList, optional) – 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.
dtype (nvidia.dali.types.DALIDataType, optional) –
Output data type.
Note
The generated numbers are converted to the output data type, rounding and clamping if necessary.
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.
shape (int or list of int or TensorList of int, optional) – Shape of the output data.
stddev (float or TensorList of float, optional, default = 1.0) – Standard deviation of the distribution.