code: def get_fake_quantization_parameter(shape, name):
      scale = nn.parameter.get_parameter_or_create(
          "scale-{}".format(name), shape
      )
      scale.d = 1e-4
      zero_point = nn.parameter.get_parameter_or_create(
          "zeropoint-{}".format(name), shape
      )
      zero_point.d = 0
      return scale, zero_point
  
imports: from __future__ import absolute_import
  import nnabla
  import nnabla.functions
  import nnabla.parametric_functions
  from .helper import create_scale_bias, create_conv_weight_bias, create_affine_weight_bias, get_channel_axes
label_desc: Use image node_id 39 for calling a global function with example usage: get_fake_quantization_parameter(shape, name) and returns: scale,  zero_point