docstr: Transform to convert a sequence of samples to a collated batch.
docstr_tok: ["Transform","to","convert","a","sequence","of","samples","to","a","collated","batch","."]
code: def _collate(self, samples: Sequence, stage: RunningStage) -> Any:
      """Transform to convert a sequence of samples to a collated batch."""
      return self.current_transform(stage=stage, current_fn="collate")(
          samples
      )
  
imports: import inspect
  from dataclasses import dataclass
  from functools import partial
  from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple
  from pytorch_lightning.utilities import rank_zero_warn
  from pytorch_lightning.utilities.enums import LightningEnum
  from flash.core.data.callback import ControlFlow
  from flash.core.data.utilities.collate import default_collate
  from flash.core.data.utils import _STAGES_PREFIX
  from flash.core.utilities.stages import RunningStage
  from flash.core.utilities.types import INPUT_TRANSFORM_TYPE
label_desc: Use image node_id 35 for calling the InputTransform obj's underlying member method code with example usage: obj._collate(samples, stage) and returns: self