class_docstr: Test that the operator's shape is the broadcast of arguments.
code: def test_u_and_base_operator_incompatible_domain_dimension(self):
      base_operator = linalg.LinearOperatorIdentity(
          num_rows=3, dtype=np.float64
      )
      u = rng.rand(5, 4, 2)
      with self.assertRaisesRegex(ValueError, "not compatible"):
          linalg.LinearOperatorLowRankUpdate(base_operator, u=u)
  
imports: import numpy
  from tensorflow.python.framework import config
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.linalg import linalg
  from tensorflow.python.ops.linalg import linear_operator_test_util
  from tensorflow.python.platform import test
label_desc: Use image node_id 5 for calling the LinearOperatorLowRankUpdateBroadcastsShape obj's underlying member method code with example usage: obj.test_u_and_base_operator_incompatible_domain_dimension() without return types