mmselfsup.models.necks.avgpool2d_neck 源代码
# Copyright (c) OpenMMLab. All rights reserved.
from typing import List
import torch
import torch.nn as nn
from mmengine.model import BaseModule
from mmselfsup.registry import MODELS
[文档]@MODELS.register_module()
class AvgPool2dNeck(BaseModule):
"""The average pooling 2d neck."""
def __init__(self, output_size: int = 1) -> None:
super().__init__()
self.avgpool = nn.AdaptiveAvgPool2d(output_size)
[文档] def forward(self, x: List[torch.Tensor]) -> List[torch.Tensor]:
"""Forward function."""
assert len(x) == 1
return [self.avgpool(x[0])]