code: def _compare(self, x, axis, exclusive, reverse):
      def neginf_like(x):
          return -np.inf * np.ones_like(x)
  
      np_out = handle_options(
          np.logaddexp.accumulate,
          neginf_like,
          x,
          axis,
          exclusive,
          reverse,
      )
      with self.session(), self.test_scope():
          p = array_ops.placeholder(x.dtype)
          tf_out = math_ops.cumulative_logsumexp(
              p, axis, exclusive, reverse
          ).eval(feed_dict={p: x})
  
      self.assertAllClose(np_out, tf_out, rtol=4e-5)
  
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 ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the CumulativeLogSumExpTest obj's underlying member method code with example usage: obj._compare(x, axis, exclusive, reverse) and returns: unknown