class_docstr: Represents a single row of a block matrix.
code: def _matmul(self, x, adjoint=False, adjoint_arg=False):
      x = tf.linalg.adjoint(x) if adjoint_arg else x
      if adjoint:
          results = [o.matmul(x, adjoint=True) for o in self.operators]
          return tf.concat(results, axis=-2)
      xs = tf.split(
          x,
          num_or_size_splits=[
              o.domain_dimension_tensor() for o in self.operators
          ],
          axis=-2,
      )
      return sum(o.matmul(x_i) for o, x_i in zip(self.operators, xs))
  
imports: import tensorflow.compat.v2
label_desc: Use image node_id 5 for calling the LinearOperatorRowBlock obj's underlying member method code with example usage: obj._matmul(x, adjoint, adjoint_arg) and returns: sum, tf