Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Has anyone deployed it in 4090 #62

Open
stickygao opened this issue Sep 6, 2024 · 7 comments
Open

Has anyone deployed it in 4090 #62

stickygao opened this issue Sep 6, 2024 · 7 comments

Comments

@stickygao
Copy link

Has anyone deployed it in 4090, I can run it in 3090 according to docs, but 4090 has many bugs, and upgrading the new version of CUDA and torch will also have

@zswzswzsw233
Copy link

我是在L20显卡上使用torch.inverse会报错,要先传到cpu上再inverse然后传回cuda

@drilistbox
Copy link
Collaborator

啥问题 截图看看

@SodaKy0401
Copy link

我是在L20显卡上使用torch.inverse会报错,要先传到cpu上再inverse然后传回cuda

请问具体怎么操作,可以解答下嘛谢谢啦~~!

@zswzswzsw233
Copy link

我是在L20显卡上使用torch.inverse会报错,要先传到cpu上再inverse然后传回cuda

请问具体怎么操作,可以解答下嘛谢谢啦~~!

例如下面这一句:
global2keyego = torch.inverse(keyego2global.double())
先把要求逆的矩阵放到cpu上,求逆完成后再整体传回cuda:
global2keyego = torch.inverse(keyego2global.cpu().double()).cuda()

@SodaKy0401
Copy link

我是在L20显卡上使用torch.inverse会报错,要先传到cpu上再inverse然后传回cuda

请问具体怎么操作,可以解答下嘛谢谢啦~~!

例如下面这一句: global2keyego = torch.inverse(keyego2global.double()) 先把要求逆的矩阵放到cpu上,求逆完成后再整体传回cuda: global2keyego = torch.inverse(keyego2global.cpu().double()).cuda()

Thanks,我试试

@Weihua-Wang
Copy link

我3090上能运行,4090直接就掉显卡了

Image

@Weihua-Wang
Copy link

Weihua-Wang commented Feb 15, 2025

并且存在许多警告 #75

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

5 participants