code: def test_paddle_layer_norm(
      *,
      values_tuple,
      normalized_shape,
      eps,
      test_flags,
      frontend,
      on_device,
      backend_fw,
      fn_tree,
  ):
      (dtype, x, normalized_shape, scale, offset) = values_tuple
      helpers.test_frontend_function(
          input_dtypes=dtype,
          backend_to_test=backend_fw,
          frontend=frontend,
          test_flags=test_flags,
          on_device=on_device,
          fn_tree=fn_tree,
          x=x[0],
          normalized_shape=normalized_shape,
          weight=scale[0],
          bias=offset[0],
          epsilon=eps,
      )
  
imports: from hypothesis import strategies
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers.testing_helpers import handle_frontend_test
  from ivy_tests.test_ivy.test_functional.test_nn.test_norms import _generate_data_layer_norm
label_desc: Use image node_id 1 for calling a global function with example usage: test_paddle_layer_norm() without return types