nvidia.dali.fn.permute_batch#

nvidia.dali.fn.permute_batch(
__input,
/,
*,
indices,
bytes_per_sample_hint=[0],
preserve=False,
seed=-1,
device=None,
name=None,
)#

Returns a batch of tensors constructed by selecting tensors from the input based on indices given in indices argument:

out_tensor[i] = in_tensor[indices[i]]
Supported backends

  • ‘cpu’

  • ‘gpu’

Parameters:

__input (TensorList) – Input to the operator.

Keyword Arguments:

  • indices (int or list of int or TensorList of int) –

    List of indices, matching current batch size, or a batch of scalars representing indices of the tensors in the input batch.

    The indices must be within [0..batch_size) range. Repetitions and omissions are allowed.

  • 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.

  • 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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