code: def raise_model_input_error(model):
      raise ValueError(
          "Model {} cannot be saved because the input shapes have not been "
          "set. Usually, input shapes are automatically determined from calling"
          " `.fit()` or `.predict()`. To manually set the shapes, call "
          "`model.build(input_shape)`.".format(model)
      )
  
file_path: tensorflow-upstream/tensorflow/lite/python/tflite_keras_util.py
imports: import copy
  from tensorflow.python.eager import def_function
  from tensorflow.python.util import keras_deps
  from tensorflow.python.util import nest
  from tensorflow.python.util.compat import collections_abc
label_desc: Use image node_id 3 for calling a global function with example usage: raise_model_input_error(model) without return types