code: def test_cp_norm():
      """Test for cp_norm"""
      shape = (8, 5, 6, 4)
      rank = 25
      cp_tensor = random_cp(
          shape=shape, rank=rank, full=False, normalise_factors=True
      )
      tol = 10e-5
      rec = tl.cp_to_tensor(cp_tensor)
      true_res = tl.norm(rec, 2)
      res = cp_norm(cp_tensor)
      assert_(tl.abs(true_res - res) <= tol)
  
imports: import numpy
  import tensorly
  from ..tenalg import khatri_rao, mode_dot
  from ..cp_tensor import cp_to_tensor, cp_to_unfolded, cp_to_vec, _validate_cp_tensor, cp_normalize, CPTensor, cp_mode_dot, cp_norm, cp_flip_sign, _cp_n_param, validate_cp_rank, cp_lstsq_grad, cp_permute_factors
  from ..base import unfold, tensor_to_vec
  from tensorly.random import random_cp
  from tensorly.testing import assert_equal, assert_raises, assert_, assert_array_equal, assert_array_almost_equal
  import pytest
label_desc: Use image node_id 9 for calling a global function with example usage: test_cp_norm() without return types