code: def DISABLED_test_saving_lambda(self):
      mean = ops.random.uniform((4, 2, 3))
      std = ops.abs(ops.random.uniform((4, 2, 3))) + 1e-5
      inputs = layers.Input(shape=(4, 2, 3))
      output = layers.Lambda(
          lambda image, mu, std: (image - mu) / std,
          arguments={"mu": mean, "std": std},
      )(inputs)
      model = models.Model(inputs, output)
      model.compile(loss="mse", optimizer="sgd", metrics=["acc"])
  
      temp_filepath = os.path.join(
          self.get_temp_dir(), "lambda_model.h5"
      )
      legacy_h5_format.save_model_to_hdf5(model, temp_filepath)
      loaded = legacy_h5_format.load_model_from_hdf5(temp_filepath)
  
      self.assertAllClose(mean, loaded.layers[1].arguments["mu"])
      self.assertAllClose(std, loaded.layers[1].arguments["std"])
  
imports: import os
  import numpy
  import pytest
  import keras
  from keras import layers
  from keras import models
  from keras import ops
  from keras import testing
  from keras.legacy.saving import legacy_h5_format
  from keras.saving import object_registration
  from keras.saving import serialization_lib
label_desc: Use image node_id 5 for calling the LegacyH5WholeModelTest obj's underlying member method code with example usage: obj.DISABLED_test_saving_lambda() without return types