class_docstr: Represents a single row of a block matrix.
code: def __init__(
      self,
      operators,
      is_non_singular=None,
      is_self_adjoint=None,
      is_positive_definite=None,
      is_square=None,
      name="LinearOperatorRowBlock",
  ):
      parameters = dict(
          operators=operators,
          is_non_singular=is_non_singular,
          is_self_adjoint=is_self_adjoint,
          is_positive_definite=is_positive_definite,
          is_square=is_square,
          name=name,
      )
      if not operators:
          raise ValueError("Expect a list of length at least one.")
      self._operators = operators
      super(LinearOperatorRowBlock, self).__init__(
          dtype=self._operators[0].dtype,
          is_non_singular=is_non_singular,
          is_self_adjoint=is_self_adjoint,
          is_positive_definite=is_positive_definite,
          is_square=is_square,
          parameters=parameters,
          name=name,
      )
  
imports: import tensorflow.compat.v2
label_desc: Use image node_id 1 to create a new LinearOperatorRowBlock object from inherited base classes: tf.linalg with example: obj = LinearOperatorRowBlock(operators, is_non_singular, is__adjoint, is_positive_definite, is_square, name)