class_docstr: Saves an image to file. Useful as a pass-through transform
  when wanting to observe how augmentation affects the data
  
  NOTE: Only supports saving to Numpy currently
  
  :param root: (string):
          path to main directory in which images will be saved
code: def __call__(self, *inputs):
      for idx, _input in inputs:
          fpath = os.path.join(
              self.root, "img_%i_%i.npy" % (self.counter, idx)
          )
          np.save(fpath, _input.numpy())
      self.counter += 1
      return inputs
  
imports: import os
  import random
  import math
  import numpy
  import torch
label_desc: Use image node_id 2 for calling the ToFile obj's underlying member method code with example usage: obj.__call__() and returns: inputs