code: def testShape(self):
      a = tf.linalg.LinearOperatorDiag([1.0, 2.0, 3.0])
      b = tf.linalg.LinearOperatorFullMatrix(
          [[2.0, 1.0], [3.0, 2.0], [4.0, 5.0]]
      )
      block = lorb.LinearOperatorRowBlock([a, b])
      self.assertAllEqual(block.shape, [3, 5])
      self.assertAllEqual(block.shape_tensor(), [3, 5])
  
file_path: probability/tensorflow_probability/python/experimental/linalg/linear_operator_row_block_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.experimental.linalg import linear_operator_row_block
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 1 for calling the LinearOperatorRowBlockTest obj's underlying member method code with example usage: obj.testShape() without return types