We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
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
飞桨官方脚本输出信息
GPU信息
PaddlePaddle和PARL版本信息
启动xparl报错信息
我不仅仅试过paddlepaddle-gpu 2.0.2 parl2.0.2 CUDA10 cudnn7, 其他版本比如paddlepaddle-gpu 2.1.1 CUDA11 cudnn8我都试过,都无法正确使用GPU算力。请尽快修复。
The text was updated successfully, but these errors were encountered:
hello,十分感谢你的反馈。 xparl默认是关闭GPU进行并行的,这个的出发点是担心用户启动太多节点同时运行,GPU显存被撑爆的情况出现。 请问你运行DQN+atari是否可以看到GPU正常使用呢?
Sorry, something went wrong.
谢谢您的回复。我刚刚测试过,example项目 DQN+atari是可以正常使用GPU 我下一步应该怎么做呢?
那这说明PARL现在是正常运行的哈。 xparl 启动集群是为了分布式并行计算用的,主要是使用CPU,目前这个提示不影响正常使用的。
已测试过训练程序确实可以用GPU算力。谢谢!
No branches or pull requests
环境:
问题截图:
飞桨官方脚本输出信息
![WechatIMG90](https://user-images.githubusercontent.com/2086862/126090497-5d0b940b-5867-4b1e-ad77-8399a61ed0dd.jpeg)
GPU信息
![WechatIMG87](https://user-images.githubusercontent.com/2086862/126090538-46a9f7a4-6d2d-4642-afcb-d163031b1bea.jpeg)
PaddlePaddle和PARL版本信息
![WechatIMG89](https://user-images.githubusercontent.com/2086862/126090618-9cab179a-3be4-4eec-a2f2-cf3b67b1ebf5.jpeg)
启动xparl报错信息
![WechatIMG88](https://user-images.githubusercontent.com/2086862/126090697-6eec06b8-b081-4eda-8906-ea00d44b6402.jpeg)
我不仅仅试过paddlepaddle-gpu 2.0.2 parl2.0.2 CUDA10 cudnn7, 其他版本比如paddlepaddle-gpu 2.1.1 CUDA11 cudnn8我都试过,都无法正确使用GPU算力。请尽快修复。
The text was updated successfully, but these errors were encountered: