code: def testTwoBlockMatrixDouble(self):
      np.random.seed(0)
      shapes = self.getShapes([2 * self._backprop_block_size + 1])
      self.runFiniteDifferences(
          shapes, dtypes=(dtypes_lib.float64,), scalar_test=True
      )
  
imports: import numpy
  from tensorflow.python.client import session
  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 ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import stateless_random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.linalg import linalg
  from tensorflow.python.platform import benchmark
  from tensorflow.python.platform import test
label_desc: Use image node_id 6 for calling the CholeskyGradTest obj's underlying member method code with example usage: obj.testTwoBlockMatrixDouble() without return types