def __init__()

in tt_embeddings_ops.py [0:0]


    def __init__(self, name: str, buffers: Optional[List[torch.Tensor]] = None):
        super(BufferList, self).__init__()
        self._name = name
        self._offset = 0
        if buffers is not None:
            self.extend(buffers)
            self._length = len(buffers)
        else:
            self._length = 0