# 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. """Decoders configurations.""" import dataclasses from typing import Optional, Sequence from official.modeling import hyperparams @dataclasses.dataclass class Identity(hyperparams.Config): """Identity config.""" pass @dataclasses.dataclass class UNet3DDecoder(hyperparams.Config): """UNet3D decoder config.""" model_id: int = 4 pool_size: Sequence[int] = (2, 2, 2) kernel_size: Sequence[int] = (3, 3, 3) use_batch_normalization: bool = True use_deconvolution: bool = True @dataclasses.dataclass class Decoder(hyperparams.OneOfConfig): """Configuration for decoders. Attributes: type: 'str', type of decoder be used, on the of fields below. identity: identity decoder config. unet_3d_decoder: UNet3D decoder config. """ type: Optional[str] = None identity: Identity = Identity() unet_3d_decoder: UNet3DDecoder = UNet3DDecoder()