code: def testLarge2000x2000(self):
      n = 2000
      shape = (n, n)
      data = np.ones(shape).astype(np.float32) / (2.0 * n) + np.diag(
          np.ones(n).astype(np.float32)
      )
      self._verifyCholesky(data, atol=1e-4)
  
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
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 10 for calling the CholeskyOpTest obj's underlying member method code with example usage: obj.testLarge2000x2000() without return types