class_docstr: Most tests done in the base class LinearOperatorDerivedClassTest.
  
  In this test, the operator is constructed with hints that invoke the use of
  a Cholesky decomposition for solves/determinant.
code: def setUp(self):
      # Increase from 1e-6 to 1e-5.  This reduction in tolerance happens,
      # presumably, because we are taking a different code path in the operator
      # and the matrix.  The operator uses a Cholesky, the matrix uses standard
      # solve.
      self._atol[dtypes.float32] = 1e-5
      self._rtol[dtypes.float32] = 1e-5
      self._atol[dtypes.float64] = 1e-10
      self._rtol[dtypes.float64] = 1e-10
  
imports: import numpy
  from tensorflow.python.framework import config
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.linalg import linalg
  from tensorflow.python.ops.linalg import linear_operator_test_util
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the SquareLinearOperatorFullMatrixSymmetricPositiveDefiniteTest obj's underlying member method code with example usage: obj.setUp() without return types