这个代码跑不通(格式如此,其实只想请你回复博主你好,你那里有HorBlock模块,以及RepLKDeXt模块这两个模块的结构框图吗?,我已经加群了因为时间紧所以就在这里提问了)
3条回答 默认 最新
关注 import torch import torch.nn as nn def get_dwconv(c, k=3, s=True): if s: return nn.Sequential( nn.Conv2d(c, c, k, stride=2, padding=k//2, groups=c, bias=False), nn.BatchNorm2d(c), nn.Conv2d(c, c, 1, stride=1, padding=0, bias=False), nn.BatchNorm2d(c), nn.ReLU(inplace=True) ) else: return nn.Sequential( nn.Conv2d(c, c, k, stride=1, padding=k//2, groups=c, bias=False), nn.BatchNorm2d(c), nn.Conv2d(c, c, 1, stride=1, padding=0, bias=False), nn.BatchNorm2d(c), nn.ReLU(inplace=True) ) class gnconv(nn.Module): def __init__(self, dim, order=5, gflayer=None, h=14, w=8, s=1.0): super(gnconv, self).__init__() self.order = order self.dims = [dim // 2 ** i for i in range(order)] self.dims.reverse() self.proj_in = nn.Conv2d(dim, 2 * dim, 1) if gflayer is None: self.dwconv = get_dwconv(sum(self.dims), 7, True) else: self.dwconv = gflayer(sum(self.dims), h=h, w=w) self.proj_out = nn.Conv2d(dim, dim, 1) self.pws = nn.ModuleList( [nn.Conv2d(self.dims[i], self.dims[i+1], 1) for i in range(order-1)] ) self.scale = s def forward(self, x, mask=None, dummy=False): fused_x = self.proj_in(x) pwa, abc = torch.split(fused_x, (self.dims[0], sum(self.dims)), dim=1) abc = self.dwconv(abc) abc = torch.cat(torch.split(abc, self.dims[1:], dim=1), dim=1) abc = self.proj_out(abc) x = pwa + self.scale * abc return x
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