# 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. # Lint as: python3 """RetinaNet configuration definition.""" import dataclasses from typing import Optional from official.core import config_definitions as cfg from official.core import exp_factory from official.projects.qat.vision.configs import common from official.vision.beta.configs import retinanet from official.vision.beta.configs.google import backbones @dataclasses.dataclass class RetinaNetTask(retinanet.RetinaNetTask): quantization: Optional[common.Quantization] = None @exp_factory.register_config_factory('retinanet_spinenet_mobile_coco_qat') def retinanet_spinenet_mobile_coco() -> cfg.ExperimentConfig: """Generates a config for COCO OD RetinaNet for mobile with QAT.""" config = retinanet.retinanet_spinenet_mobile_coco() task = RetinaNetTask.from_args( quantization=common.Quantization(), **config.task.as_dict()) task.model.backbone = backbones.Backbone( type='spinenet_mobile', spinenet_mobile=backbones.SpineNetMobile( model_id='49', stochastic_depth_drop_rate=0.2, min_level=3, max_level=7, use_keras_upsampling_2d=True)) config.task = task return config