nvidia.dali.fn.batch_permutation#

nvidia.dali.fn.batch_permutation(
*,
allow_repetitions=False,
bytes_per_sample_hint=[0],
no_fixed_points=False,
preserve=False,
seed=-1,
device=None,
name=None,
)#

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.

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