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# Licensed under the Apache License, Version 2.0 (the "License");
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#     http://www.apache.org/licenses/LICENSE-2.0
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"""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
