# nvidia.dali.fn.permute_batch¶

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

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.