code: def testIncompatibleArgShapesGraph(self):
      if tf.executing_eagerly():
          return
      scale = tf1.placeholder_with_default(tf.ones([4, 1]), shape=None)
      with self.assertRaisesRegexp(
          tf.errors.OpError, r"Incompatible shapes"
      ):
          d = normal.Normal(
              loc=tf.zeros([2, 3]), scale=scale, validate_args=True
          )
          self.evaluate(d.mean())
  
imports: import math
  import numpy
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 31 for calling the NormalTest obj's underlying member method code with example usage: obj.testIncompatibleArgShapesGraph() without return types