code: def knn(x, y, k, use_gpu, dist="cosine"):
      # Adapted From: https://github.com/google-research/xtreme/blob/
      #               522434d1aece34131d997a97ce7e9242a51a688a/third_party/utils_retrieve.py
      return knn_gpu(x, y, k) if use_gpu else knn_cpu(x, y, k, dist)
  
imports: import hashlib
  import numpy
  import torch
  from dataclasses import dataclass
  from typing import List
  from jiant.tasks.core import BaseExample, BaseTokenizedExample, BaseDataRow, BatchMixin, Task, TaskTypes
  from jiant.tasks.lib.templates.shared import construct_single_input_tokens_and_segment_ids, create_input_set_from_tokens_and_segments
  from jiant.utils.python.io import read_file, read_file_lines
label_desc: Use image node_id 9 for calling a global function with example usage: knn(x, y, k, use_gpu, dist) and returns: unknown