class_docstr: Test for tri-diagonal matrix related ops.
code: def testBatchingAndTwoRightHandSides(self):
      rhs = np.transpose([_sample_rhs, 2 * _sample_rhs])
      expected_result = np.transpose(
          [_sample_result, 2 * _sample_result]
      )
      self._test(
          diags=np.array([_sample_diags, -_sample_diags]),
          rhs=np.array([rhs, 2 * rhs]),
          expected=np.array([expected_result, -2 * expected_result]),
      )
  
imports: import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradients
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.linalg import linalg_impl
  from tensorflow.python.platform import test
label_desc: Use image node_id 19 for calling the TridiagonalSolveOpsTest obj's underlying member method code with example usage: obj.testBatchingAndTwoRightHandSides() without return types