message: tf_saved_model: Test that variable values are imported correctly.
  Now that has landed, we can now use different variable values in this test :)
diff: @@ -29,9 +29,9 @@ class TestModule(tf.Module):
  def __init__(self):
  super(TestModule, self).__init__()
  # CHECK: "tf_saved_model.global_tensor"() {is_mutable, {{.*}} tf_saved_model.exported_names = ["v0"], type = tensor<*xf32>, value = dense<0.000000e+00> : tensor<1xf32>} : () -> ()
  - # CHECK: "tf_saved_model.global_tensor"() {is_mutable, {{.*}} tf_saved_model.exported_names = ["v1"], type = tensor<?xf32>, value = dense<0.000000e+00> : tensor<1xf32>} : () -> ()
  + # CHECK: "tf_saved_model.global_tensor"() {is_mutable, {{.*}} tf_saved_model.exported_names = ["v1"], type = tensor<?xf32>, value = dense<[0.000000e+00, 1.000000e+00]> : tensor<2xf32>} : () -> ()
  self.v0 = tf.Variable([0.], shape=tf.TensorShape(None))
  - self.v1 = tf.Variable([0.], shape=[None])
  + self.v1 = tf.Variable([0., 1.], shape=[None])
  if __name__ == '__main__':
  