nvidia.dali.fn.multi_paste¶
-
nvidia.dali.fn.
multi_paste
(*inputs, **kwargs)¶ Performs multiple pastes from image batch to each of outputs
This operator can also change the type of data.
- Supported backends
‘cpu’
‘gpu’
- Parameters
images (3D TensorList) –
Batch of input images.
Assumes HWC layout.
- Keyword Arguments
in_ids (int or list of int or TensorList of int) – Indices of the inputs to paste data from.
output_size (int or list of int or TensorList of int) – Shape of the output.
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.
dtype (
nvidia.dali.types.DALIDataType
, optional) – Output data type. If not set, the input type is used.in_anchors (int or TensorList of int, optional) –
Absolute coordinates of LU corner of the source region.
The anchors are represented as 2D tensors where the first dimension corresponds to the elements of
in_ids
and the second one is equal to the number of dimensions of the data, excluding channels.If not provided, all anchors are zero.
out_anchors (int or TensorList of int, optional) –
Absolute coordinates of LU corner of the destination region.
The anchors are represented as 2D tensors where the first dimension corresponds to the elements of
in_ids
and the second one is equal to the number of dimensions of the data, excluding channels.If not provided, all anchors are zero.
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.
shapes (int or TensorList of int, optional) –
Shape of the paste regions.
The shapes are represented as 2D tensors where the first dimension corresponds to the elements of
in_ids
and the second one is equal to the number of dimensions of the data, excluding channels.- If not provided, the shape is calculated so that the region goes from the region anchor
in the input image until the end of the input image.