Pytorch版本代码修正_userwarning: nn.init.xavier_uniform is now depreca

Pytorch版本代码修正

概述：老版本代码（0.3.0）修正为（0.4.0）

1.UserWarning: nn.init.xavier_uniform is now deprecated in favor of nn.init.xavier_uniform_.init.xavier_uniform(param)
1

注：init.xavier_uniform 改为 init.xavier_uniform_

2.UserWarning: volatile was removed and now has no effect. Use `with torch.no_grad():` instead. targets = [Variable(anno.cuda(), volatile=True) for anno in targets]
1

注：im = Variable(im.cuda()，volatile=True）
应该改成im = Variable(im.cuda())

3.UserWarning: invalid index of a 0-dim tensor. This will be an error in PyTorch 0.5. Use tensor.item() to convert a 0-dim tensor to a Python number
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注：loss.data[0]
应该改成loss.item()

4.UserWarning: nn.functional.upsample is deprecated. Use nn.functional.interpolate instead.
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注：upsample 替换为interpolate

5.UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.warnings.warn(warning.format(ret))
1

注：size_average=False 改为 reduction='sum’