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.