code: def test_onnx_acos_v2(dtype_x):
      _, data = dtype_x
      x_onnx = onnx.Tensor(data[0])
      x_torch = torch.Tensor(data[0])
  
      onnx_acos = onnx.acos(x_onnx)
      torch_acos = torch.acos(x_torch)
  
      ret = helpers.flatten_and_to_np(ret=onnx_acos)
      ret_gt = helpers.flatten_and_to_np(ret=torch_acos)
  
      helpers.value_test(
          ret_np_flat=ret,
          ret_np_from_gt_flat=ret_gt,
          ground_truth_backend="tensorflow",
      )
  
file_path: ivy/ivy_tests/test_ivy/test_frontends/test_onnx/test_elementwise.py
imports: from hypothesis import given
  import pytest
  from hypothesis import strategies
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_test
  import ivy.functional.frontends.onnx
  import ivy.functional.frontends.torch
label_desc: Use image node_id 4 for calling a global function with example usage: test_onnx_acos_v2(dtype_x) without return types