code: def _filepath_for_weights_ckpt_from_shape(
      shape: Tuple[int, int, int]
  ) -> str:
      model = keras_modeling.inceptionv3(
          input_shape=shape, init_backbone_with_imagenet=False
      )
      tmp_model_name = test_utils.test_tmpfile(
          "filepath_for_weights_ckpt_from_shape_{}.weights".format(
              "_".join(str(i) for i in shape)
          )
      )
      model.save_weights(tmp_model_name)
      return tmp_model_name
  
imports: from typing import Tuple
  from absl.testing import absltest
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from deepvariant import dv_config
  from deepvariant import dv_constants
  from deepvariant import keras_modeling
  from third_party.nucleus.testing import test_utils
label_desc: Use image node_id 1 for calling a global function with example usage: _filepath_for_weights_ckpt_from_shape(shape) and returns: tmp_model_name