code: def testIncompatibleArgShapes(self):
      with self.assertRaisesRegexp(Exception, r"compatible shapes"):
          d = emg.ExponentiallyModifiedGaussian(
              loc=tf.zeros([2, 3], dtype=self.dtype),
              scale=tf.ones([4, 1], dtype=self.dtype),
              rate=tf.ones([2, 3], dtype=self.dtype),
              validate_args=True,
          )
          self.evaluate(d.mean())
  
imports: import math
  import numpy
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import exponentially_modified_gaussian
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 13 for calling the _ExponentiallyModifiedGaussianTest obj's underlying member method code with example usage: obj.testIncompatibleArgShapes() without return types