class_docstr: Test that the operator's shape is the broadcast of arguments.
code: def test_u_and_diag_incompatible_low_rank_raises(self):
      base_operator = linalg.LinearOperatorIdentity(
          num_rows=3, dtype=np.float64
      )
      u = rng.rand(5, 3, 2)
      diag = rng.rand(5, 4)  # Last dimension should be 2
      with self.assertRaisesRegex(ValueError, "not compatible"):
          linalg.LinearOperatorLowRankUpdate(
              base_operator, u=u, diag_update=diag
          )
  
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 6 for calling the LinearOperatorLowRankUpdateBroadcastsShape obj's underlying member method code with example usage: obj.test_u_and_diag_incompatible_low_rank_raises() without return types