code: def forward(self, x):
      return torch.from_numpy(self.transform(image=x.numpy())["image"])
  
file_path: lightning-flash/src/flash/image/classification/input_transform.py
imports: from dataclasses import dataclass
  from typing import Tuple, Union
  import torch
  from torch import nn
  from flash.core.data.io.input import DataKeys
  from flash.core.data.io.input_transform import InputTransform
  from flash.core.data.transforms import ApplyToKeys
  from flash.core.utilities.imports import _ALBUMENTATIONS_AVAILABLE, _TORCHVISION_AVAILABLE, requires
label_desc: Use image node_id 2 for calling the AlbumentationsAdapter obj's underlying member method code with example usage: obj.forward(x) and returns: torch