code: def build_batched_operator(self):
      seed = test_util.test_seed()
      return tf.linalg.LinearOperatorBlockLowerTriangular(
          [
              [
                  tf.linalg.LinearOperatorFullMatrix(
                      tf.random.normal(
                          (3, 4, 4), dtype=tf.float32, seed=seed
                      ),
                      is_non_singular=True,
                  )
              ],
              [
                  tf.linalg.LinearOperatorZeros(
                      3, 4, is_square=False, is_self_adjoint=False
                  ),
                  tf.linalg.LinearOperatorFullMatrix(
                      tf.random.normal(
                          (3, 3), dtype=tf.float32, seed=seed
                      ),
                      is_non_singular=True,
                  ),
              ],
          ],
          is_non_singular=True,
      )
  
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import scale_matvec_linear_operator
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 2 for calling the ScaleMatvecLinearOperatorBlockTrilTest obj's underlying member method code with example usage: obj.build_batched_operator() and returns: tf