How to use the with torch.no_grad () method in Pytorch

How to use the with torch.no_grad () method in Pytorch. In view of this problem, this article introduces the corresponding analysis and solution in detail, hoping to help more partners who want to solve this problem to find a more simple and feasible method.

Requires_grad=True requires calculation of gradient

Requires_grad=False does not require calculating gradients

The data in with torch.no_grad () or @ torch.no_grad () does not need to calculate gradients and does not backpropagate

Model.eval () # Test mode with torch.no_grad (): pass@torch.no_grad () def eval ():... This is the answer to the question about how to use the with torch.no_grad () method in Pytorch. I hope the above content can be of some help to you. If you still have a lot of doubts to be solved, you can follow the industry information channel to learn more about it.