code: def generate_inputs(self):
      shape = self.shape
      aggr_shape = self.aggr_shape
      dtype = self.dtype
  
      x = numpy.random.uniform(-10, 10, shape).astype(dtype)
      gamma = numpy.random.uniform(0.5, 1, aggr_shape).astype(dtype)
      beta = numpy.random.uniform(-1, 1, aggr_shape).astype(dtype)
      gy = numpy.random.uniform(-1, 1, shape).astype(dtype)
      return x, gamma, beta, gy
  
imports: import numpy
  import six
  import chainer
  from chainer.functions.normalization import batch_renormalization
  from chainer import testing
  import chainerx
label_desc: Use image node_id 2 for calling the TestBatchRenormalizationForward obj's underlying member method code with example usage: obj.generate_inputs() and returns: x,  gamma,  beta,  gy