code: def create_inputs(rng, x_shape, channel_axis, no_scale, no_bias):
      x = np.array(rng.randn(*x_shape).astype(np.float32))
  
      stat_shape = [1 for _ in range(len(x_shape))]
      stat_shape[channel_axis] = x_shape[channel_axis]
  
      beta = (
          None if no_bias else rng.randn(*stat_shape).astype(np.float32)
      )
      gamma = (
          None
          if no_scale
          else rng.randn(*stat_shape).astype(np.float32)
      )
  
      return x, beta, gamma
  
file_path: nnabla/python/test/function/test_group_normalization.py
imports: import pytest
  import numpy
  import nnabla
  import nnabla.functions
  from nbla_test_utils import list_context
  from nnabla.normalization_functions import _force_list, _get_axes_excluding
label_desc: Use image node_id 2 for calling a global function with example usage: create_inputs(rng, x_shape, channel_axis, no_scale, no_bias) and returns: x,  beta,  gamma