code: def _opSuffStats(self, x, axes, shift, keep_dims):
      return nn_impl.sufficient_statistics(x, axes, shift, 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 2 for calling the SufficientStatisticsTest obj's underlying member method code with example usage: obj._opSuffStats(x, axes, shift, keep_dims) and returns: nn_impl