class_docstr: Apply a user-defined function as a transform.
  
  This transform does not support torchscript.
  
  Args:
      lambd (function): Lambda/function to be used for transform.
class_docstr_tok: ["Apply","a","user-defined","function","as","a","transform",".","This","transform","does","not","support","torchscript",".","Args",":","lambd","(","function",")",":","Lambda\/function","to","be","used","for","transform","."]
code: def extra_repr(self) -> str:
      extras = []
      name = getattr(self.lambd, "__name__", None)
      if name:
          extras.append(name)
      extras.append(f"types={[type.__name__ for type in self.types]}")
      return ", ".join(extras)
  
imports: import warnings
  from typing import Any, Callable, cast, Dict, List, Optional, Sequence, Type, Union
  import PIL.Image
  import torch
  from torch.utils._pytree import tree_flatten, tree_unflatten
  from torchvision import transforms, tv_tensors
  from torchvision.transforms.v2 import functional, Transform
  from ._utils import _parse_labels_getter, _setup_number_or_seq, _setup_size, get_bounding_boxes, has_any, is_pure_tensor
label_desc: Use image node_id 3 for calling the Lambda obj's underlying member method code with example usage: obj.extra_repr() and returns: str