code: def test_cond_fn_parameters():
      graph = tf.Graph()
      with graph.as_default():
  
          def fn1(x, y):
              return tf.multiply(5, 6)
  
          def fn2(x, y):
              return tf.add(3, 4)
  
          i = tf.constant(1)
          j = tf.constant(2)
          k = tf.constant(3)
          r = tf.cond(
              tf.less(i, j), lambda: fn1(i, k), lambda: fn2(j, k)
          )
  
          with tf.Session() as sess:
              tf_out = sess.run(r, feed_dict={i: 1, j: 2, k: 3})
  
      check_equal(graph, tf_out)
  
imports: import pytest
  from tensorflow.python.ops import control_flow_ops
  import numpy
  from tvm import nd, relay, ir, testing
  from tvm.relay.frontend.tensorflow import from_tensorflow
label_desc: Use image node_id 11 for calling a global function with example usage: test_cond_fn_parameters() and returns: tf, tf