parameters: (filepath, custom_objects=None, compile=True)
docstring: Loads a model saved via `save_model`.
  
    Arguments:
        filepath: One of the following:
            - String, path to the saved model
            - `h5py.File` object from which to load the model
        custom_objects: Optional dictionary mapping names
            (strings) to custom classes or functions to be
            considered during deserialization.
        compile: Boolean, whether to compile the model
            after loading.
  
    Returns:
        A Keras model instance. If an optimizer was found
        as part of the saved model, the model is already
        compiled. Otherwise, the model is uncompiled and
        a warning will be displayed. When `compile` is set
        to False, the compilation is omitted without any
        warning.
  
    Raises:
        ImportError: if loading from an hdf5 file and h5py is not available.
        IOError: In case of an invalid savefile.
docstring_summary: Loads a model saved via `save_model`.
docstring_tokens: Loads a model saved via save_model .
function: def load_model(filepath, custom_objects=None, compile=True):  # pylint: disable=redefined-builtin
    """Loads a model saved via `save_model`.
  
    Arguments:
        filepath: One of the following:
            - String, path to the saved model
            - `h5py.File` object from which to load the model
        custom_objects: Optional dictionary mapping names
            (strings) to custom classes or functions to be
            considered during deserialization.
        compile: Boolean, whether to compile the model
            after loading.
  
    Returns:
        A Keras model instance. If an optimizer was found
        as part of the saved model, the model is already
        compiled. Otherwise, the model is uncompiled and
        a warning will be displayed. When `compile` is set
        to False, the compilation is omitted without any
        warning.
  
    Raises:
        ImportError: if loading from an hdf5 file and h5py is not available.
        IOError: In case of an invalid savefile.
    """
    if (h5py is not None and (
        isinstance(filepath, h5py.File) or h5py.is_hdf5(filepath))):
      return hdf5_format.load_model_from_hdf5(filepath, custom_objects, compile)
  
    if isinstance(filepath, six.string_types):
      loader_impl.parse_saved_model(filepath)
      return saved_model_load.load(filepath, compile)
  
    raise IOError(
        'Unable to load model. Filepath is not an hdf5 file (or h5py is not '
        'available) or SavedModel.')
function_tokens: def load_model ( filepath , custom_objects = None , compile = True ) : # pylint: disable=redefined-builtin if ( h5py is not None and ( isinstance ( filepath , h5py . File ) or h5py . is_hdf5 ( filepath ) ) ) : return hdf5_format . load_model_from_hdf5 ( filepath , custom_objects , compile ) if isinstance ( filepath , six . string_types ) : loader_impl . parse_saved_model ( filepath ) return saved_model_load . load ( filepath , compile ) raise IOError ( 'Unable to load model. Filepath is not an hdf5 file (or h5py is not ' 'available) or SavedModel.' )