code: def test_torch_heaviside(
      *,
      dtype_and_input,
      test_flags,
      fn_tree,
      backend_fw,
      on_device,
      frontend,
  ):
      input_dtype, data, values = dtype_and_input
      helpers.test_frontend_function(
          input_dtypes=input_dtype,
          backend_to_test=backend_fw,
          test_flags=test_flags,
          frontend=frontend,
          fn_tree=fn_tree,
          input=data[0],
          values=values[0],
          on_device=on_device,
      )
  
imports: from hypothesis import strategies, assume
  import math
  import numpy
  import ivy_tests.test_ivy.helpers
  import ivy_tests.test_ivy.helpers.globals
  from ivy_tests.test_ivy.helpers import handle_frontend_test, BackendHandler
label_desc: Use image node_id 20 for calling a global function with example usage: test_torch_heaviside() without return types