code: def generate_inputs(self):
      x = numpy.random.uniform(-1, 1, self.shape).astype(self.dtype)
  
      if self.axis is None:
          w_shape = self.shape
      elif isinstance(self.axis, int):
          axis = self.axis
          if axis < 0:
              ndim = len(self.shape)
              axis += ndim
          w_shape = (self.shape[axis],)
      else:
          w_shape = tuple(self.shape[a] for a in self.axis)
  
      # Sample weights. Weights should not sum to 0.
      while True:
          w = numpy.random.uniform(-2, 2, w_shape).astype(self.dtype)
          w_sum_eps = 1.0 if self.dtype == numpy.float16 else 5e-2
          if abs(w.sum()) > w_sum_eps:
              break
  
      return x, w
  
imports: import unittest
  import numpy
  import six
  from chainer import functions
  from chainer import testing
  from chainer.testing import attr
  from chainer import utils
label_desc: Use image node_id 3 for calling the TestAverage obj's underlying member method code with example usage: obj.generate_inputs() and returns: x,  w