code: def forward_parameters(
      self, batch_shape: torch.Size
  ) -> List[ParamItem]:
      raise NotImplementedError
  
imports: from collections import OrderedDict
  from itertools import zip_longest
  from typing import Any, Dict, Iterator, List, Optional, Tuple
  import torch
  from torch import nn
  import kornia.augmentation
  from kornia.augmentation.base import _AugmentationBase
  from kornia.core import Module, Tensor
  from kornia.geometry.boxes import Boxes
  from kornia.geometry.keypoints import Keypoints
  from .ops import BoxSequentialOps, InputSequentialOps, KeypointSequentialOps, MaskSequentialOps
  from .params import ParamItem
label_desc: Use image node_id 3 for calling the ImageSequentialBase obj's underlying member method code with example usage: obj.forward_parameters(batch_shape) without return types