# nvidia.dali.fn.batch_permutation¶

nvidia.dali.fn.batch_permutation(*inputs, **kwargs)

Produces a batch of random integers which can be used as indices for indexing samples in the batch.

Supported backends
• ‘cpu’

Keyword Arguments
• allow_repetitions (bool, optional, default = False) – If true, the output can contain repetitions and omissions.

• 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.

• no_fixed_points (bool, optional, default = False) – If true, the the output permutation cannot contain fixed points, that is out[i] != i. This argument is ignored when batch size is 1.

• 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.