nvidia.dali.fn.transpose — NVIDIA DALI (original) (raw)

nvidia.dali.fn.transpose(__input, /, *, bytes_per_sample_hint=[0], output_layout='', perm=None, preserve=False, transpose_layout=True, device=None, name=None)#

Transposes the tensors by reordering the dimensions based on the perm parameter.

Destination dimension i is obtained from source dimension perm[i].

For example, for a source image with HWC layout, shape = (100, 200, 3), and perm = [2, 0, 1], it will produce a destination image with CHWlayout and shape = (3, 100, 200), holding the equality:

\[dst(x_2, x_0, x_1) = src(x_0, x_1, x_2)\]

which is equivalent to:

\[dst(x_{perm[0]}, x_{perm[1]}, x_{perm[2]}) = src(x_0, x_1, x_2)\]

for all valid coordinates.

This operator allows sequence inputs and supports volumetric data.

Supported backends

• ‘cpu’
• ‘gpu’

Parameters:

__input¶ (TensorList) – Input to the operator.

Keyword Arguments:

• 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.
• output_layout¶ (layout str, optional, default = ‘’) –
  Explicitly sets the output data layout.
  If this argument is specified, transpose_layout is ignored.
• perm¶ (int or list of int , optional) –
  Permutation of the dimensions of the input, for example, [2, 0, 1].
  If not given, the dimensions are reversed.
• preserve¶ (bool, optional, default = False) – Prevents the operator from being removed from the graph even if its outputs are not used.
• transpose_layout¶ (bool, optional, default = True) –
  When set to True, the axis names in the output data layout are permuted according to perm, Otherwise, the input layout is copied to the output.
  If output_layout is set, this argument is ignored.