code: def _test_op_w_ulp_error(
      self, seed, opname, regions, atol=0, err_threshold=2
  ):
      ulp_err = 0
      for x0, x1 in regions:
          X = np.linspace(x0, x1, num=1025, dtype=np.float16).astype(
              np.float32
          )
          Y_glow = self._test_unary_op(opname, X, atol=atol)
          region_err = compute_ulp_error(opname, X, Y_glow)
          ulp_err = max(np.max(np.abs(region_err)), ulp_err)
      if ulp_err > err_threshold:
          print(r"{} Op detected ulp_err={}".format(opname, ulp_err))
          assert 0
  
imports: import numpy
  import caffe2.python.fakelowp.init_shared_libs
  import datetime
  from hypothesis import given, settings
  from hypothesis import strategies
  from caffe2.proto import caffe2_pb2
  from caffe2.python import core
  from caffe2.python import workspace
  from caffe2.python.onnx.onnxifi import onnxifi_caffe2_net
  from caffe2.python.fakelowp.test_utils import print_test_debug_info
  from caffe2.python.fakelowp.test_utils import compute_ulp_error
  import caffe2.python.serialized_test.serialized_test_util
label_desc: Use image node_id 2 for calling the UnaryOpTest obj's underlying member method code with example usage: obj._test_op_w_ulp_error(seed, opname, regions, atol, err_threshold) without return types