code: def test_nms(
      *,
      inputs,
      test_flags,
      backend_fw,
      fn_name,
      on_device,
  ):
      (
          boxes,
          scores,
          iou_threshold,
          max_output_size,
          score_threshold,
      ) = inputs
      helpers.test_function(
          input_dtypes=[ivy.float32, ivy.float32],
          test_flags=test_flags,
          backend_to_test=backend_fw,
          fn_name=fn_name,
          on_device=on_device,
          boxes=boxes,
          scores=scores,
          iou_threshold=iou_threshold,
          max_output_size=max_output_size,
          score_threshold=score_threshold,
      )
  
imports: from hypothesis import strategies, assume
  import ivy
  import numpy
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_test
  from ivy.functional.ivy.layers import _deconv_length, _pack_padded_sequence
label_desc: Use image node_id 28 for calling a global function with example usage: test_nms() without return types