code: def main():
      inputs = tf.Variable(
          tf.reshape(tf.range(0.0, 4.0), [4, 1]), name="input"
      )
      inputs = tf.identity(inputs, "input_node")
  
      output = tf.concat([inputs, inputs], axis=0)
  
      named_output = tf.nn.relu(output, name="output")
  
      net_outputs = map(
          lambda x: tf.get_default_graph().get_tensor_by_name(x),
          argv[2].split(","),
      )
      run_model(net_outputs, argv[1], "two_edge", argv[3] == "True")
  
imports: import tensorflow
  from sys import argv
  from util import run_model
label_desc: Use image node_id 1 for calling a global function with example usage: main() without return types