code: def test_log_I1(order, value):
      value = tensor([value])
      expected = torch.tensor(
          [iv(i, value.numpy()) for i in range(order + 1)]
      ).log()
      actual = log_I1(order, value)
      assert_equal(actual, expected)
  
file_path: pyro/tests/ops/test_special.py
imports: import pytest
  import torch
  from scipy.special import iv
  from torch import tensor
  from torch.autograd import grad
  from pyro.ops.special import get_quad_rule, log_beta, log_binomial, log_I1, safe_log
  from tests.common import assert_equal
label_desc: Use image node_id 4 for calling a global function with example usage: test_log_I1(order, value) without return types