class_docstr: Adapted from the NumPy implementation at:
  https://gist.github.com/rtqichen/91924063aa4cc95e7ef30b3a5491cc52
class_docstr_tok: ["Adapted","from","the","NumPy","implementation","at",":","https",":","\/\/gist.github.com\/rtqichen\/91924063aa4cc95e7ef30b3a5491cc52"]
code: def __init__(self, in_out_dim, hidden_dim, width):
      super().__init__()
      self.in_out_dim = in_out_dim
      self.hidden_dim = hidden_dim
      self.width = width
      self.hyper_net = HyperNetwork(in_out_dim, hidden_dim, width)
  
imports: import os
  import argparse
  import glob
  from PIL import Image
  import numpy
  import matplotlib
  import matplotlib.pyplot
  from sklearn.datasets import make_circles
  import torch
  import torch.nn
  import torch.optim
label_desc: Use image node_id 1 to create a new CNF object from inherited base classes: nn with example: obj = CNF(in_out_dim, hidden_dim, width)