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Successfully loaded libtensorflow in Node.js, but couldn't load GPU. Make sure CUDA Toolkit and cuDNN are installed and accessible, or turn off GPU mode.

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评估

难度
4/5
预计耗时
3-5 天
新手友好度
35/100
Issue 类型
缺陷
描述清晰度
需要澄清
活跃度
冷清
技术栈
node.js, php, postgresql, tensorflow, ubuntu

调研方向

从管理面板的 NodeJS 部分和 recognize/bin/node 进程开始,将其 GPU 检测结果与报告中描述的 nvidia-smi 输出进行比较。在启用 GPU 模式的 Ubuntu 22.04 上重现该警告,并确定面板是否准确反映 TensorFlow 的 GPU 使用情况;未提供调试日志或源文件。

由索引模型根据 Issue 内容生成。

描述

bug priority: normal
Which version of recognize are you using?

5.0.3

Enabled Modes

Face recognition

TensorFlow mode

GPU mode

Downstream App

Memories App

Which Nextcloud version do you have installed?

27.1.5

Which Operating system do you have installed?

Ubuntu 22.04

Which database are you running Nextcloud on?

Postgres 14.10

Which Docker container are you using to run Nextcloud? (if applicable)

N/A

How much RAM does your server have?

4Gb

What processor Architecture does your CPU have?

x86_64

Describe the Bug

This is minor but Recognize admin panel is telling me no GPU found, but everything seems to be working fine (I see the recognize/bin/node process running on my GPU using nvidia-smi). Not sure if normal, but although I see the process on my GPU, my CPU usage is also way up.

The exact warning appears in the NodeJS section of the admin panel:
Successfully loaded libtensorflow in Node.js, but couldn't load GPU. Make sure CUDA Toolkit and cuDNN are installed and accessible, or turn off GPU mode.

More info: Proxmox 7.2, Nextcloud LXC with GPU successfully passed through (it was already done for processing ffmpeg in the Memories app). Installed the CUDA and cuDNN libs through the recommended instructions (pip install tensorflow[and-cuda]) and python is finding my GPU.

Expected Behavior

If everything is working fine and using my GPU, then there shouldn't be any warning about GPU not found.

To Reproduce

Not sure, probably something to do with my setup. If you can point me where to look, I can provide more logs that may help.

Debug log

No response

主要语言
PHP
星标
698
派生
68
平均合并
18 小时 34 分钟
30 天内合并 PR
2

环境准备

  • 没有 Dockerfile 或 Docker Compose 文件
  • 没有 Pull Request 模板
  • 阅读贡献指南

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  3. Fork 仓库,在一个分支上完成修改。
  4. 提交 Pull Request,并在描述里引用这个 Issue 编号。

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