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mmselfsup.models.necks.avgpool2d_neck 源代码

# Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
from mmcv.runner import BaseModule

from ..builder import NECKS


[文档]@NECKS.register_module() class AvgPool2dNeck(BaseModule): """The average pooling 2d neck.""" def __init__(self, output_size=1): super(AvgPool2dNeck, self).__init__() self.avgpool = nn.AdaptiveAvgPool2d(output_size)
[文档] def forward(self, x): """Forward function.""" assert len(x) == 1 return [self.avgpool(x[0])]
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