code: def load_pair(file_path):
      image, label = nib.load(file_path / "imaging.nii.gz"), nib.load(
          file_path / "segmentation.nii.gz"
      )
      image_spacings = image.header["pixdim"][1:4].tolist()
      image, label = image.get_fdata().astype(
          np.float32
      ), label.get_fdata().astype(np.uint8)
      image, label = np.expand_dims(image, 0), np.expand_dims(label, 0)
      return image, label, image_spacings
  
file_path: tinygrad/extra/datasets/kits19.py
imports: import random
  import functools
  from pathlib import Path
  import numpy
  import nibabel
  from scipy import signal
  import torch
  import torch.nn.functional
  from tinygrad.tensor import Tensor
  from tinygrad.helpers import fetch
label_desc: Use image node_id 2 for calling a global function with example usage: load_pair(file_path) and returns: image,  label,  image_spacings