code: def _compareGradient(self, shape, axis, exclusive, reverse):
      x = np.arange(1, 9).reshape(shape).astype(np.float64)
      with self.cached_session():
          t = ops.convert_to_tensor(x)
          result = math_ops.cumprod(t, axis, exclusive, reverse)
          jacob_t, jacob_n = gradient_checker.compute_gradient(
              t, shape, result, shape, x_init_value=x, delta=1
          )
      self.assertAllClose(jacob_t, jacob_n, rtol=1e-8, atol=1e-8)
  
imports: import numpy
  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 gradient_checker
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 11 for calling the CumprodTest obj's underlying member method code with example usage: obj._compareGradient(shape, axis, exclusive, reverse) without return types