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Showing content from https://docs.nvidia.com/deeplearning/dali/user-guide/docs/operations/nvidia.dali.fn.shapes.html below:

nvidia.dali.fn.shapes — NVIDIA DALI

nvidia.dali.fn.shapes(__input, /, *, bytes_per_sample_hint=[0], dtype=DALIDataType.INT64, preserve=False, device=None, name=None)#

Returns the shapes of tensors in the input batch.

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.

• dtype¶ (nvidia.dali.types.DALIDataType, optional, default = DALIDataType.INT64) – Data type to which the sizes are converted.

• preserve¶ (bool, optional, default = False) – Prevents the operator from being removed from the graph even if its outputs are not used.

• type¶ (nvidia.dali.types.DALIDataType) –

  Warning

  The argument type is a deprecated alias for dtype. Use dtype instead.

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