class_docstr: Generic multi-argument transformation.
code: def __init__(self, transform: Callable):
      self.transform = transform
  
      (
          self.min_params,
          self.max_params,
      ) = MultiParamTransformCallable._detect_parameters(transform)
  
imports: from abc import ABC, abstractmethod
  import warnings
  from typing import Any, Callable, Iterable, List, Sequence, Tuple, Union
  from inspect import signature, Parameter
  from torchvision.transforms import Compose
label_desc: Use image node_id 1 to create a new MultiParamTransformCallable object from inherited base classes: MultiParamTransform with example: obj = MultiParamTransformCallable(transform)