code: def testAxisType(self):
      for dtype in self.valid_dtypes:
          x = np.arange(1, 6).reshape([5]).astype(dtype)
          for axis_dtype in self.axis_dtypes():
              with self.session(), self.test_scope():
                  p = array_ops.placeholder(x.dtype)
                  axis = constant_op.constant(0, axis_dtype)
                  math_ops.cumulative_logsumexp(p, axis).eval(
                      feed_dict={p: x}
                  )
  
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 5 for calling the CumulativeLogSumExpTest obj's underlying member method code with example usage: obj.testAxisType() without return types