nvidia.dali.experimental.dynamic.expand_dims#

nvidia.dali.experimental.dynamic.expand_dims(
data,
/,
*,
batch_size=None,
device=None,
axes,
new_axis_names=None,
)#

Insert new dimension(s) with extent 1 to the data shape.

The new dimensions are inserted at the positions specified by axes.

If new_axis_names is provided, the new dimension names will be inserted in the data layout, at the positions specified by axes. If new_axis_names is not provided, the output data layout will be empty.”

This operator allows sequence inputs and supports volumetric data.

Supported backends
  • ‘cpu’

  • ‘gpu’

Parameters:

data (Tensor/Batch) – Data to be expanded

Keyword Arguments:
  • axes (int or list of int) – Indices at which the new dimensions are inserted.

  • new_axis_names (layout str, optional, default = ‘’) –

    Names of the new dimensions in the data layout.

    The length of new_axis_names must match the length of axes. If argument isn’t be provided, the layout will be cleared.