code: def generate_inputs(self):
      x_shape = self.x_shape
      reduced_shape = self.reduced_shape
      x_dtype = self.x_dtype
      param_dtype = self.param_dtype
  
      x = numpy.random.uniform(-1, 1, x_shape).astype(x_dtype)
      gamma = numpy.random.uniform(-1, 1, reduced_shape).astype(
          param_dtype
      )
      beta = numpy.random.uniform(-1, 1, reduced_shape).astype(
          param_dtype
      )
      mean = numpy.random.uniform(-1, 1, reduced_shape).astype(
          param_dtype
      )
      var = numpy.random.uniform(0.1, 1, reduced_shape).astype(
          param_dtype
      )
  
      return x, gamma, beta, mean, var
  
imports: import unittest
  import chainer
  import numpy
  import pytest
  import chainerx
  import chainerx.testing
  from chainerx_tests import array_utils
  from chainerx_tests import op_utils
label_desc: Use image node_id 2 for calling the TestFixedBatchNorm obj's underlying member method code with example usage: obj.generate_inputs() and returns: x,  gamma,  beta,  mean,  var