nvidia.dali.fn.squeeze#

nvidia.dali.fn.squeeze( __data, /, *, axes=[], axis_names='', bytes_per_sample_hint=[0], preserve=False, seed=-1, device=None, name=None, )#

Removes the dimensions given as axes or axis_names.

It’s an error to remove a dimension that would cause the total volume to change.

This operator allows sequence inputs and supports volumetric data.

Supported backends

‘cpu’
‘gpu’

Parameters:

__data (TensorList) – Data to be squeezed

Keyword Arguments:

axes (int or list of int or TensorList of int, optional, default = []) –

Indices of dimensions which should be removed.

All squeezed dimensions should have size 1, unless the total volume of the tensor is 0 before and after squeeze. All indices must be in the range of valid dimensions of the input

:keyword axis_names : layout str, optional, default = ‘’: Layout columns which should be removed.

All squeezed dimensions should have size 1, unless the total volume of the tensor is 0 before and after squeeze. All layout names should be present in data layout.

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.
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.