标签:Tensor requires torch True Variable difference grad tensor
文字版说明:
Variable在 Pytorch0.4.0之后以及被tensor(requires_grad=True)所取代了.
The Variable API has been deprecated in Pytorch0.4.0: Variables are no longer necessary to use autograd with tensors. Autograd automatically supports Tensors with requires_grad
set to True
. Below please find a quick guide on what has changed:
Variable(tensor)
andVariable(tensor, requires_grad)
still work as expected, but they return Tensors instead of Variables.var.data
is the same thing astensor.data
.- Methods such as
var.backward(), var.detach(), var.register_hook()
now work on tensors with the same method names.
In addition, one can now create tensors with requires_grad=True
using factory methods such as torch.randn(), torch.zeros(), torch.ones(), and others like the following:
autograd_tensor = torch.randn((2, 3, 4), requires_grad=True)
You can also find some explanations about the difference between a tensor and a Variable in What is the difference between Tensors and Variables in Pytorch?
功能相同代码验证:(验证可以同样来使用)
Variable版本:
requires_grad=True
版本:
标签:Tensor,requires,torch,True,Variable,difference,grad,tensor 来源: https://blog.csdn.net/u010087338/article/details/117843257
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