code: def test_matrix_inverse(self):
      x = random_ops.random_uniform([3, 4, 2, 2]) + 10 * linalg_ops.eye(
          2
      )  # Ensure well-conditioned.
  
      for adjoint in (True, False):
          # pylint: disable=cell-var-from-loop
          def loop_fn(i):
              return linalg_ops.matrix_inverse(
                  array_ops.gather(x, i), adjoint=adjoint
              )
  
          # pylint: enable=cell-var-from-loop
          self._test_loop_fn(loop_fn, 2)
  
imports: import itertools
  from absl.testing import parameterized
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import clip_ops
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import special_math_ops
  from tensorflow.python.ops import tensor_array_grad
  from tensorflow.python.ops.parallel_for import control_flow_ops
  from tensorflow.python.ops.parallel_for.test_util import PForTestCase
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the LinalgTest obj's underlying member method code with example usage: obj.test_matrix_inverse() and returns: linalg_ops