class_docstr: This is trying to bypass the supported mode checker in PyTorch-Lightning FitLoop.
      
class_docstr_tok: ["This","is","trying","to","bypass","the","supported","mode","checker","in","PyTorch-Lightning","FitLoop","."]
code: def __init__(self, iterables: Any) -> None:
      self._iterables = iterables
      self._flattened, self._spec = _tree_flatten(iterables)
      self._mode = "_nni_concat"
      self._iterator: Optional[_ModeIterator] = None
  
imports: from __future__ import annotations
  from typing import Any, Optional
  from pytorch_lightning.utilities.combined_loader import CombinedLoader, _CombinationMode, _SUPPORTED_MODES, _Sequential, _ModeIterator, _tree_flatten
label_desc: Use image node_id 1 to create a new ConcatLoader object from inherited base classes: CombinedLoader with example: obj = ConcatLoader(iterables)