code: def test_paddle_normalize(
      *,
      dtype_and_x_and_axis,
      p,
      negative_axis,
      test_flags,
      frontend,
      backend_fw,
      on_device,
      fn_tree,
  ):
      dtype, x, axis = dtype_and_x_and_axis
      if axis:
          axis = -axis if negative_axis else axis
      else:
          axis = 0
      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],
          p=p,
          axis=axis,
      )
  
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 2 for calling a global function with example usage: test_paddle_normalize() without return types