c3eb62763fcc5029c26b025ba1b60d7788d491a1,keras/engine/saving.py,,load_model,#Any#Any#Any#,510

Before Change

    if h5py is None:
        raise ImportError("`load_model` requires h5py.")
    model = None
    opened_new_file = not isinstance(filepath, h5py.Group)
    h5dict = H5Dict(filepath, "r")
    try:
        model = _deserialize_model(h5dict, custom_objects, compile)
    finally:

After Change

    if h5py is None:
        raise ImportError("`load_model` requires h5py.")

    if H5Dict.is_supported_type(filepath):
        with H5Dict(filepath, mode="r") as h5dict:
            model = _deserialize_model(h5dict, custom_objects, compile)
    elif hasattr(filepath, "write") and callable(filepath.write):
        def load_function(h5file):
            return _deserialize_model(H5Dict(h5file), custom_objects, compile)
        model = load_from_binary_h5py(load_function, filepath)
    else:
        raise ValueError("unexpected type {} for `filepath`".format(type(filepath)))

    return model


def pickle_model(model):

Instances