text: # Copyright 2022 The TensorFlow Authors. All Rights Reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  """RetinaNet task definition."""
  import tensorflow as tf
  
  from official.core import task_factory
  from official.projects.qat.vision.configs import retinanet as exp_cfg
  from official.projects.qat.vision.modeling import factory
  from official.vision.tasks import retinanet
  
  
  @task_factory.register_task_cls(exp_cfg.RetinaNetTask)
  class RetinaNetTask(retinanet.RetinaNetTask):
    """A task for RetinaNet object detection with QAT."""
  
    def build_model(self) -> tf.keras.Model:
      """Builds RetinaNet model with QAT."""
      model = super(RetinaNetTask, self).build_model()
      # Call the model with dummy input to build the head part.
      dummpy_input = tf.zeros([1] + self.task_config.model.input_size)
      model(dummpy_input, training=True)
  
      if self.task_config.quantization:
        model = factory.build_qat_retinanet(
            model,
            self.task_config.quantization,
            model_config=self.task_config.model)
      return model
  