class_docstr: Object class prediction network.
docstr: Call ClassNet.
docstr_tok: ["Call","ClassNet","."]
code: def call(self, inputs, training, **kwargs):
      """Call ClassNet."""
      class_outputs = []
      for level_id in range(0, self.max_level - self.min_level + 1):
          image = inputs[level_id]
          for i in range(self.repeats):
              image = self._conv_bn_act(image, i, level_id, training)
  
          class_outputs.append(self.classes(image))
  
      return class_outputs
  
imports: import functools
  from absl import logging
  import numpy
  import tensorflow
  import utils
  from .None import fpn_configs
label_desc: Use image node_id 3 for calling the ClassNet obj's underlying member method code with example usage: obj.call(inputs, training) and returns: class_outputs