code: def _train_collate(self, samples):
      self.train_collate_called = True
      return torch.tensor([list(s) for s in samples])
  
imports: from dataclasses import dataclass
  from typing import Callable, Dict
  from unittest.mock import MagicMock, NonCallableMock, patch
  import numpy
  import pytest
  import torch
  from flash import Task, Trainer
  from flash.core.data.data_module import DataModule, DatasetInput
  from flash.core.data.io.input import Input
  from flash.core.data.io.input_transform import InputTransform
  from flash.core.utilities.imports import _TOPIC_CORE_AVAILABLE, _TOPIC_IMAGE_AVAILABLE, _TORCHVISION_AVAILABLE
  from flash.core.utilities.stages import RunningStage
  from pytorch_lightning import seed_everything
  from torch.utils.data import Dataset
  from tests.helpers.boring_model import BoringModel
label_desc: Use image node_id 3 for calling the TestInputTransform obj's underlying member method code with example usage: obj._train_collate(samples) and returns: torch