code: def create_placeholder(spec):
      return backend.placeholder(
          shape=spec.shape, dtype=spec.dtype, name=spec.name
      )
  
imports: import os
  import warnings
  from tensorflow.python.checkpoint import graph_view
  from tensorflow.python.client import session
  from tensorflow.python.framework import ops
  from tensorflow.python.keras import backend
  from tensorflow.python.keras import optimizer_v1
  from tensorflow.python.keras.optimizer_v2 import optimizer_v2
  from tensorflow.python.keras.saving import model_config
  from tensorflow.python.keras.saving import saving_utils
  from tensorflow.python.keras.saving import utils_v1
  from tensorflow.python.keras.utils import mode_keys
  from tensorflow.python.keras.utils.generic_utils import LazyLoader
  from tensorflow.python.lib.io import file_io
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import gfile
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.saved_model import builder
  from tensorflow.python.saved_model import constants
  from tensorflow.python.saved_model import save
  from tensorflow.python.training import saver
  from tensorflow.python.util import compat
  from tensorflow.python.util import nest
label_desc: Use image node_id 6 for calling a global function with example usage: create_placeholder(spec) and returns: backend