docstr: Defines the transform to be applied on a list of training sample to create a training batch.
docstr_tok: ["Defines","the","transform","to","be","applied","on","a","list","of","training","sample","to","create","a","training","batch","."]
code: def train_collate(self) -> Callable:
      """Defines the transform to be applied on a list of training sample to create a training batch."""
      return self.collate()
  
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 28 for calling the InputTransform obj's underlying member method code with example usage: obj.train_collate() and returns: self