code: def test_batched_outer(
      *, data, test_flags, backend_fw, fn_name, on_device
  ):
      input_dtypes, tensors = data
      if backend_fw == "paddle":
          # to avoid large dimension results since paddle don't support them
          tensors = tensors[:2]
      helpers.test_function(
          backend_to_test=backend_fw,
          test_flags=test_flags,
          fn_name=fn_name,
          on_device=on_device,
          atol_=1e-1,
          rtol_=1e-1,
          input_dtypes=input_dtypes,
          tensors=tensors,
      )
  
imports: import math
  from hypothesis import strategies
  from hypothesis import assume
  import numpy
  import pytest
  import itertools
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_test, BackendHandler
  import ivy
label_desc: Use image node_id 22 for calling a global function with example usage: test_batched_outer() without return types