nvidia.dali.experimental.dynamic.normal_distribution#

nvidia.dali.experimental.dynamic.normal_distribution(shape_like=None, /, *, batch_size=None, device=None, dtype=None, mean=None, seed=None, shape=None, stddev=None, rng=None)#

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 __shape_like input, if provided. If none are present, a single value per sample is generated.

Supported backends

  • ‘cpu’

  • ‘gpu’

Parameters:

shape_like (Tensor/Batch, optional) – Shape of this input will be used to infer the shape of the output, if provided.

Keyword Arguments:

  • 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 Tensor/Batch of float, optional, default = 0.0) – Mean of the distribution.

  • shape (int or list of int or Tensor/Batch of int, optional) – Shape of the output data.

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

  • rng (RNG, optional) – A random number generator instance. Can be obtained by calling nvidia.dali.experimental.dynamic.random.RNG(seed)(). If not provided, the default RNG is used.

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