code: def generate_inputs(self):
      shape = self.batchsize, self.size
      size = numpy.prod(shape) // shape[0]
      x = numpy.random.uniform(-1, 1, shape).astype(self.dtype)
      gamma = numpy.random.uniform(-1, 1, size).astype(self.dtype)
      beta = numpy.random.uniform(-1, 1, size).astype(self.dtype)
      return x, gamma, beta
  
file_path: chainer/tests/chainer_tests/functions_tests/normalization_tests/test_layer_normalization.py
imports: import numpy
  from chainer import functions
  from chainer import testing
label_desc: Use image node_id 2 for calling the TestLayerNormalization obj's underlying member method code with example usage: obj.generate_inputs() and returns: x,  gamma,  beta