运行ssd300报错UserWarning: volatile was removed and now has no effect

最新推荐文章于 2023-11-18 17:48:44 发布
最新推荐文章于 2023-11-18 17:48:44 发布
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F:\ssd300\ssd.pytorch-master\ssd.py:34: UserWarning: volatile was removed and now has no effect. Use with torch.no_grad(): instead.
self.priors = Variable(self.priorbox.forward(), volatile=True)

错误说明volatile已经没有用了。原因是随着版本的迭代， 已经不需要了。要用with torch.no_grad(): 故修改如下：

        with torch.no_grad():
            self.priors = Variable(self.priorbox.forward())
volatile was removed and now has no effect. Use `with torch.no_grad():` instead.
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UserWarning: volatile was removed and now has no effect. Use with torch.no_grad(): instead 代码中原先是 需要改成： 应该是torch的版本问题所导致的。
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@[TOC](UserWarning: volatile was removed and now has no effect. Use with torch.no_grad(): instead. input_var = torch.autograd.Variable(input, volatile=True) UserWarning: volatile was removed and now has no effect. Use with torch.no_grad(): instead. pytorch
【解决方案】volatile was removed and now has no effect. Use `with torch.no_grad():` instead.
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volatile was removed and now has no effect. Use with torch.no_grad(): instead. molded_images = Variable(molded_images, volatile=True) 修改为 with torch.no_grad(): molded_images = Variable(...
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这个警告是因为 PyTorch 已经不再支持 `volatile` 参数了。在以前的版本中，`volatile=True` 用于告诉 PyTorch 不要构建计算图，因此可以加快推理速度。现在，应该使用 `with torch.no_grad():` 来实现相同的效果。你可以将上面的代码修改为： ``` with torch.no_grad(): image = Variable(ToTensor()(image)).unsqueeze(0) ``` 这样就不会出现这个警告了。
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