code: def test_dynamic(self):
      if tf.executing_eagerly():
          return
  
      shape = ps.broadcast_shape(
          tf.convert_to_tensor([3, 2, 1]),
          tf.shape(
              tf1.placeholder_with_default(
                  np.zeros((1, 5)), shape=(None, 5)
              )
          ),
      )
      self.assertIsNone(tf.get_static_value(shape))
      self.assertAllEqual([3, 2, 5], self.evaluate(shape))
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 2 for calling the BroadcastShapeTest obj's underlying member method code with example usage: obj.test_dynamic() without return types