code: def __init__(self, xs, ys):
      os.environ["CUDA_VISIBLE_DEVICES"] = ""
      with tf.device("/cpu:0"):
          self.net = LinearModel([784, 10])
          self.xs = xs
          self.ys = ys
  
file_path: ray/doc/source/ray-core/examples/lbfgs/driver.py
imports: import os
  import numpy
  import scipy.optimize
  import tensorflow
  from tensorflow.examples.tutorials.mnist import input_data
  import ray
  import ray.experimental.tf_utils
label_desc: Use image node_id 1 to create a new NetActor object from inherited base classes: object with example: obj = NetActor(xs, ys)