code: def test_builder_eval_stress(self, rank, epsilon):
      shape = np.random.randint(low=2, high=6, size=rank)
      x_val = random_gen(shape=shape, rand_min=-1, rand_max=1)
      with Function({}):
          res = mb.l2_norm(x=x_val, epsilon=epsilon)
          ref = TestNormalizationL2Norm._compute_l2_norm(x_val, epsilon)
          np.testing.assert_allclose(ref, res.val, atol=1e-6, rtol=1e-5)
  
imports: import itertools
  import platform
  import numpy
  import pytest
  import coremltools
  from coremltools._deps import _HAS_TF_2, _HAS_TORCH, MSG_TF2_NOT_FOUND, MSG_TORCH_NOT_FOUND
  from coremltools.converters.mil.mil import Builder
  from coremltools.converters.mil.mil import Function, get_new_symbol, types
  from coremltools.converters.mil.mil.ops.tests.iOS14 import backends
  from coremltools.converters.mil.mil.ops.tests.testing_utils import UNK_SYM, construct_inputs_from_placeholders, run_compare_builder
  from coremltools.converters.mil.testing_reqs import compute_units
  from coremltools.converters.mil.testing_utils import random_gen
label_desc: Use image node_id 4 for calling the TestNormalizationL2Norm obj's underlying member method code with example usage: obj.test_builder_eval_stress(rank, epsilon) without return types