code: def onebit(x, scaling):
      if scaling:
          l1 = np.linalg.norm(x.flatten(), 1)
      sign = x < 0
      sign = -((sign << 1) - 1)
      if scaling:
          return l1 / len(x.flatten()) * sign
      else:
          return sign
  
file_path: byteps/tests/test_onebit.py
imports: import itertools
  import unittest
  import byteps.mxnet
  import mxnet
  import mxnet.ndarray
  import numpy
  from gluoncv.model_zoo import get_model
  from mxnet import autograd, gluon
  from parameterized import parameterized
  from tqdm import tqdm
  from meta_test import MetaTest
  from utils import fake_data
label_desc: Use image node_id 1 for calling a global function with example usage: onebit(x, scaling) and returns: unknown, sign