code: def cond(pred, true_fn, false_fn):
      # When symbolic execution, take pred as true.
      if get_device() == "meta":
          return true_fn()
  
      if pred:
          return true_fn()
      return false_fn()
  
imports: import contextlib
  import os
  import numpy
  import torch
  import tree
  from keras.backend.common import KerasVariable
  from keras.backend.common import global_state
  from keras.backend.common import standardize_dtype
  from keras.backend.common.dtypes import result_type
  from keras.backend.common.keras_tensor import KerasTensor
  from keras.backend.common.stateless_scope import StatelessScope
  from keras.backend.config import floatx
  from keras.utils.nest import pack_sequence_as
label_desc: Use image node_id 11 for calling a global function with example usage: cond(pred, true_fn, false_fn) and returns: false_fn, true_fn, true_fn