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

折腾2天GPU可以用了,但是如何打包到客户机呢? #100

Open
wangning08115 opened this issue Jun 24, 2024 · 3 comments
Open

Comments

@wangning08115
Copy link

Feature request type

sample request

Is your feature request related to a problem? Please describe

  1. Windows 11 环境
  2. RTX 4060 8G显卡
  3. 安装cuda_11.8.0_522.06_windows.exe
  4. 安装cudnn-windows-x86_64-8.6.0.163_cuda11-archive.zip
  5. 安装python-3.10.0rc2-amd64.exe
  6. 安装TensorRT-8.5.3.1.Windows10.x86_64.cuda-11.8.cudnn8.6.zip
  7. 安装zlibwapi-dll-x64
  8. 经历了上述复杂的环境安装,gpu才使用上

问题:那么如何打包到客户机呢?

这么复杂的环境安装,客户很难搞啊,如何打包exe到客户机安装呢?

Describe the solution you'd like

问题:那么如何打包到客户机呢?
这么复杂的环境安装,客户很难搞啊,如何打包exe到客户机安装呢?

Describe alternatives you've considered

No response

Additional context

No response

@sdcb
Copy link
Owner

sdcb commented Jun 24, 2024

你需要把上面的环境都打包,并且需要确保客户机子是受支持的GPU

@wangning08115
Copy link
Author

嗯 ,我研究了 可以写个 批处理 打包他们的操作,也可以写个exe程序封装这个操作,下一步下一步的完成

1 similar comment
@wangning08115
Copy link
Author

嗯 ,我研究了 可以写个 批处理 打包他们的操作,也可以写个exe程序封装这个操作,下一步下一步的完成

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

2 participants