code: def test_torch_scatter_add(
      *,
      args,
      on_device,
      fn_tree,
      frontend,
      backend_fw,
      test_flags,
  ):
      dtypes, x, indices, value, axis = args
      helpers.test_frontend_function(
          input_dtypes=dtypes,
          frontend=frontend,
          test_flags=test_flags,
          fn_tree=fn_tree,
          on_device=on_device,
          backend_to_test=backend_fw,
          input=x,
          dim=axis,
          index=indices,
          src=value,
      )
  
file_path: ivy/ivy_tests/test_ivy/test_frontends/test_torch/test_tensor_functions.py
imports: from hypothesis import strategies
  import ivy
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_test
  from ivy_tests.test_ivy.test_functional.test_experimental.test_core.test_manipulation import put_along_axis_helper
label_desc: Use image node_id 7 for calling a global function with example usage: test_torch_scatter_add() without return types