code: def _unweighted_moments(
      self, x, axes, keep_dims=False, extra_out_grads=None
  ):
      # Method to compute moments of `x` wrt `axes`.
      #
      # This is exposed so WeightedMomentsTest can inherit the tests and
      # assertions from MomentsTest; the extra_out_grads argument allows
      # its inherited gradient tests to assert gradients against the
      # weights as well as the input values.
  
      return nn_impl.moments(x, axes, keep_dims=keep_dims)
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  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 gen_nn_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_impl
  import tensorflow.python.ops.nn_grad
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the MomentsTest obj's underlying member method code with example usage: obj._unweighted_moments(x, axes, keep_dims, extra_out_grads) and returns: nn_impl