nvidia.dali.fn.random.uniform¶
-
nvidia.dali.fn.random.uniform(*inputs, **kwargs)¶ Generates random numbers following a uniform distribution.
It can be configured to produce a continuous uniform distribution in the
range[min, max), or a discrete uniform distribution where any of the specifiedvalues[v0, v1, …, vn] occur with equal probability.The shape of the generated data can be either specified explicitly with a
shapeargument, or chosen to match the shape of the input, if provided. If none are present, a scalar 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.
preserve (bool, optional, default = False) – Prevents the operator from being removed from the graph even if its outputs are not used.
range (float or list of float or TensorList of float, optional, default = [-1.0, 1.0]) –
Range
[min, max)of a continuous uniform distribution.This argument is mutually exclusive with
values.Warning
When specifying an integer type as
dtype, the generated numbers can go outside the specified range, due to rounding.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.
values (float or list of float or TensorList of float, optional) –
The discrete values [v0, v1, …, vn] produced by a discrete uniform distribution.
This argument is mutually exclusive with
range.