code: def test_layer_norm(
      *,
      values_tuple,
      new_std,
      eps,
      test_flags,
      backend_fw,
      fn_name,
      on_device,
  ):
      dtype, x, normalized_idxs, scale, offset = values_tuple
      helpers.test_function(
          input_dtypes=dtype,
          test_flags=test_flags,
          backend_to_test=backend_fw,
          fn_name=fn_name,
          on_device=on_device,
          rtol_=0.5,
          atol_=0.5,
          xs_grad_idxs=[[0, 0]],
          x=x[0],
          normalized_idxs=normalized_idxs,
          eps=eps,
          scale=scale[0],
          offset=offset[0],
          new_std=new_std,
      )
  
imports: from hypothesis import strategies
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_test
label_desc: Use image node_id 2 for calling a global function with example usage: test_layer_norm() without return types