code: def where(condition, input, other):
      """
      Return a tensor of elements selected from either `input` or `other`, depending
      on `condition`.
      """
      if is_encrypted_tensor(condition):
          return condition * input + (1 - condition) * other
      elif torch.is_tensor(condition):
          condition = condition.float()
      return input * condition + other * (1 - condition)
  
imports: import builtins
  import copy
  import logging
  import os
  import warnings
  import crypten.common
  import crypten.communicator
  import crypten.config
  import crypten.mpc
  import crypten.nn
  import crypten.optim
  import torch
  from .None import debug
  from .config import cfg
  from .cryptensor import CrypTensor
label_desc: Use image node_id 20 for calling a global function with example usage: where(condition, input, other) and returns: unknown, unknown