code: def default_uncollate(batch: Any) -> List[Any]:
      """This function is used to uncollate a batch into samples. The following conditions are used:
  
      - if the ``batch`` is a ``dict``, the result will be a list of dicts
      - if the ``batch`` is list-like, the result is guaranteed to be a list
  
      Args:
          batch: The batch of outputs to be uncollated.
  
      Returns:
          The uncollated list of predictions.
  
      Raises:
          ValueError: If the input is a ``dict`` whose values are not all list-like.
          ValueError: If the input is a ``dict`` whose values are not all the same length.
          ValueError: If the input is not a ``dict`` or list-like.
  
      """
      if isinstance(batch, dict):
          if any(
              not _is_list_like_excluding_str(sub_batch)
              for sub_batch in batch.values()
          ):
              raise ValueError(
                  "When uncollating a dict, all sub-batches (values) are expected to be list-like."
              )
          if len({len(sub_batch) for sub_batch in batch.values()}) > 1:
              raise ValueError(
                  "When uncollating a dict, all sub-batches (values) are expected to have the same length."
              )
          elements = [
              default_uncollate(element)
              for element in zip(*batch.values())
          ]
          return [
              dict(zip(batch.keys(), element)) for element in elements
          ]
      if isinstance(batch, (list, tuple, Tensor)):
          return list(batch)
      raise ValueError(
          "The batch of outputs to be uncollated is expected to be a `dict` or list-like "
          f"(e.g. `Tensor`, `list`, `tuple`, etc.), but got input of type: {type(batch)}"
      )
  
file_path: lightning-flash/src/flash/core/data/batch.py
imports: from typing import TYPE_CHECKING, Any, Callable, List
  from torch import Tensor, nn
  from flash.core.data.utilities.classification import _is_list_like
label_desc: Use image node_id 2 for calling a global function with example usage: default_uncollate(batch) and returns: unknown, list