code: def forward(self, img: Tensor) -> Tensor:
      img = F.resize(
          img,
          self.resize_size,
          interpolation=self.interpolation,
          antialias=self.antialias,
      )
      img = F.center_crop(img, self.crop_size)
      if not isinstance(img, Tensor):
          img = F.pil_to_tensor(img)
      img = F.convert_image_dtype(img, torch.float)
      img = F.normalize(img, mean=self.mean, std=self.std)
      return img
  
imports: from typing import Optional, Tuple
  import torch
  from torch import nn, Tensor
  from .None import functional, InterpolationMode
label_desc: Use image node_id 2 for calling the ImageClassification obj's underlying member method code with example usage: obj.forward(img) and returns: img