code: def torch_find(index, query, vocab_size):
      """
      Finds elements of query from index, outputting the last (max) index for each
      query.
      preconditions:  (1) index and query are flat arrays (can be different sizes)
                      (2) all tokens in index and query have values < vocab_size
      """
      full_to_index = maybe_cuda(torch.zeros(vocab_size).long())
      index_shape_range = maybe_cuda(
          torch.arange(index.shape[0]).long()
      )
      full_to_index[index] = index_shape_range
      result = full_to_index[query]
      return result
  
imports: import argparse
  import ast
  import os
  import signal
  import threading
  import time
  from typing import Dict, List, Optional, Union
  import torch
  from fairseq import distributed_utils, tasks, utils
  from pytorch_translate.file_io import PathManager
label_desc: Use image node_id 8 for calling a global function with example usage: torch_find(index, query, vocab_size) and returns: result