code: def image_load(fn):
      import torchvision.transforms.functional as F
  
      img = Image.open(fn).convert("RGB")
      img = F.resize(img, 256, Image.BILINEAR)
      img = F.center_crop(img, 224)
      ret = np.array(img)
      return ret
  
file_path: tinygrad/extra/datasets/imagenet.py
imports: import glob, random, json
  import numpy
  from PIL import Image
  import functools, pathlib
  from tinygrad.helpers import DEBUG, diskcache
label_desc: Use image node_id 4 for calling a global function with example usage: image_load(fn) and returns: ret