class_docstr: The ``ApplyToKeys`` class is an ``nn.Sequential`` which applies the given transforms to the given keys from the
  input. When a single key is given, a single value will be passed to the transforms. When multiple keys are given,
  the corresponding values will be passed to the transforms as a list.
  
  Args:
      keys: The key (``str``) or sequence of keys (``Sequence[str]``) to extract and forward to the transforms.
      args: The transforms, passed to the ``nn.Sequential`` super constructor.
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code: def __repr__(self):
      transform = list(self.children())
  
      keys = self.keys[0] if len(self.keys) == 1 else self.keys
      transform = transform[0] if len(transform) == 1 else transform
  
      return f"{self.__class__.__name__}(keys={repr(keys)}, transform={repr(transform)})"
  
file_path: lightning-flash/src/flash/core/data/transforms.py
imports: from typing import Any, Mapping, Sequence, Union
  import numpy
  from torch import nn
  from flash.core.data.io.input import DataKeys
  from flash.core.data.utils import convert_to_modules
  from flash.core.utilities.imports import _ALBUMENTATIONS_AVAILABLE, requires
label_desc: Use image node_id 3 for calling the ApplyToKeys obj's underlying member method code with example usage: obj.__repr__() and returns: self, str, repr, str, repr, str