one of the variables needed for gradient computation has been modified by an

self.conf加了cuda()之后就成这样了。

这个变量不求导

self.conf_mask = torch.zeros(batch_size,self.num_anchors,g_dim, g_dim,  requires_grad=False).cuda()

错误代码:

self.conf_mask[...] = 0

正确做法:

self.conf_mask.cpu()[...] = 0

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