code: def __init__(self):
      super(TestModule, self).__init__()
      # CHECK: "tf_saved_model.global_tensor"() <{is_mutable, {{.*}} type = tensor<*xf32>, value = dense<0.000000e+00> : tensor<1xf32>}> {tf_saved_model.exported_names = ["v0"]} : () -> ()
      # CHECK: "tf_saved_model.global_tensor"() <{is_mutable, {{.*}} type = tensor<?xf32>, value = dense<[0.000000e+00, 1.000000e+00]> : tensor<2xf32>}> {tf_saved_model.exported_names = ["v1"]} : () -> ()
      self.v0 = tf.Variable([0.0], shape=tf.TensorShape(None))
      self.v1 = tf.Variable([0.0, 1.0], shape=[None])
  
imports: import tensorflow.compat.v2
  from tensorflow.compiler.mlir.tensorflow.tests.tf_saved_model import common
label_desc: Use image node_id 1 to create a new TestModule object from inherited base classes: tf with example: obj = TestModule()