code: def _update_input_shapes(self):
      if self.getInputShapes() is None:
          if self.getBackbone().startswith("inception"):
              self.setInputShapes([[-1, 3, 299, 299]])
          else:
              self.setInputShapes([[-1, 3, 224, 224]])
  
imports: import sys
  import torchvision.transforms
  from horovod.spark.common.backend import SparkBackend
  from horovod.spark.lightning import TorchEstimator
  from PIL import Image
  from pyspark.context import SparkContext
  from pyspark.ml.param.shared import Param, Params
  from pytorch_lightning.utilities import _module_available
  from synapse.ml.dl.DeepVisionModel import DeepVisionModel
  from synapse.ml.dl.LitDeepVisionModel import LitDeepVisionModel
  from synapse.ml.dl.utils import keywords_catch, get_or_create_backend
  from synapse.ml.dl.PredictionParams import VisionPredictionParams
label_desc: Use image node_id 16 for calling the DeepVisionClassifier obj's underlying member method code with example usage: obj._update_input_shapes() without return types