class_docstr: Top-Level Indexer.
  
  Provides an interface for interacting with FAISS Indexes.
docstr: Index data.
  
  Given a list of tensors, construct a FAISS Index.
  
  :param data:
      list of torch.Tensors
docstr_tok: ["Index","data",".","Given","a","list","of","tensors",",","construct","a","FAISS","Index",".",":","param","data",":","list","of","torch.Tensors"]
code: def index_data(self, data: List[torch.Tensor]):
      """
      Index data.
  
      Given a list of tensors, construct a FAISS Index.
  
      :param data:
          list of torch.Tensors
      """
  
imports: from parlai.core.build_data import modelzoo_path
  from parlai.core.opt import Opt
  import parlai.utils.logging
  from abc import ABC, abstractmethod
  import math
  import numpy
  import os
  import random
  import time
  import torch
  import torch.cuda
  from typing import List, Tuple, Optional
  from parlai.agents.rag.args import WIKIPEDIA_COMPRESSED_INDEX, WIKIPEDIA_EXACT_INDEX
label_desc: Use image node_id 2 for calling the BaseIndexer obj's underlying member method code with example usage: obj.index_data(data) without return types