d592b6ca19fb1c9c561862f9a968b52e6e073a27,keras/saving/hdf5_format.py,,load_model_from_hdf5,#Any#Any#Any#,139

Before Change

        logging.warning("No training configuration found in the save file, so "
                        "the model was *not* compiled. Compile it manually.")
        return model
      training_config = json_utils.decode(training_config.decode("utf-8"))

      // Compile model.
      model.compile(**saving_utils.compile_args_from_training_config(
          training_config, custom_objects))

After Change

    model_config = f.attrs.get("model_config")
    if model_config is None:
      raise ValueError("No model found in config file.")
    if hasattr(model_config, "decode"):
      model_config = model_config.decode("utf-8")
    model_config = json_utils.decode(model_config)
    model = model_config_lib.model_from_config(model_config,
                                               custom_objects=custom_objects)

Instances