class_docstr: BasicSequential for creating kornia modulized processing pipeline.
  
  Args:
      *args : a list of kornia augmentation and image operation modules.
class_docstr_tok: ["BasicSequential","for","creating","kornia","modulized","processing","pipeline",".","Args",":","*","args",":","a","list","of","kornia","augmentation","and","image","operation","modules","."]
code: def get_children_by_params(
      self, params: List[ParamItem]
  ) -> Iterator[Tuple[str, Module]]:
      modules = list(self.named_children())
      # TODO: Wrong params passed here when nested ImageSequential
      for param in params:
          yield modules[
              list(dict(self.named_children()).keys()).index(param.name)
          ]
  
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 6 for calling the BasicSequentialBase obj's underlying member method code with example usage: obj.get_children_by_params(params) without return types