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# Copyright (c) OpenMMLab. All rights reserved.
from abc import ABCMeta, abstractmethod
from mmengine.model import BaseModule
class BaseBackbone(BaseModule, metaclass=ABCMeta):
"""Base backbone.
This class defines the basic functions of a backbone. Any backbone that
inherits this class should at least define its own `forward` function.
"""
@abstractmethod
def forward(self, x):
"""Forward function.
Args:
x (Tensor | tuple[Tensor]): x could be a torch.Tensor or a tuple of
torch.Tensor, containing input data for forward computation.
"""
def train(self, mode=True):
"""Set module status before forward computation.
Args:
mode (bool): Whether it is train_mode or test_mode
"""
super(BaseBackbone, self).train(mode)
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