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# Copyright 2023 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 List, Optional
# Import libraries
from official.modeling import hyperparams
@dataclasses.dataclass
class Identity(hyperparams.Config):
"""Identity config."""
pass
@dataclasses.dataclass
class FPN(hyperparams.Config):
"""FPN config."""
num_filters: int = 256
fusion_type: str = 'sum'
use_separable_conv: bool = False
use_keras_layer: bool = False
@dataclasses.dataclass
class NASFPN(hyperparams.Config):
"""NASFPN config."""
num_filters: int = 256
num_repeats: int = 5
use_separable_conv: bool = False
@dataclasses.dataclass
class ASPP(hyperparams.Config):
"""ASPP config."""
level: int = 4
dilation_rates: List[int] = dataclasses.field(default_factory=list)
dropout_rate: float = 0.0
num_filters: int = 256
use_depthwise_convolution: bool = False
pool_kernel_size: Optional[List[int]] = None # Use global average pooling.
spp_layer_version: str = 'v1'
output_tensor: bool = False
@dataclasses.dataclass
class Decoder(hyperparams.OneOfConfig):
"""Configuration for decoders.
Attributes:
type: 'str', type of decoder be used, one of the fields below.
fpn: fpn config.
"""
type: Optional[str] = None
fpn: FPN = dataclasses.field(default_factory=FPN)
nasfpn: NASFPN = dataclasses.field(default_factory=NASFPN)
identity: Identity = dataclasses.field(default_factory=Identity)
aspp: ASPP = dataclasses.field(default_factory=ASPP)
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