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Single GPU training in Multi-GPU system doesn't work even if limited to 1 GPU with os.environ CUDA_VISIBLE_DEVICES before importing unsloth.
Reason:
check_nvidia function spawns new process to che…
Sehyo updated
3 months ago
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I need help training Flux Lora on multiple GPUs. The memory on a single GPU is not sufficient, so I want to train on multiple GPUs. However, configuring device: cuda:0,1 in the config file doesn't see…
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Hi, thanks for your work, I recently wanted to try multi-GPU training, but I realized that its default is to use DataParalle instead of DDP, can you tell me where I can switch to DDP mode?
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### 🐛 Describe the bug
```
[2024-05-27 08:06:37] INFO - sg_trainer.py - Started training for 300 epochs (0/299)
Train epoch 0: 0%| | 0/4690 [00:02
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Looking for a way to train alignn in a distributed fashion I stumbled upon this package.
It looks really nice but I could not get the distributed training to work on slurm.
One issues was that the t…
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![image](https://user-images.githubusercontent.com/30972697/234811765-dd513e31-eb26-4f28-be4f-bf315db271aa.png)
I am training Neus using two GPUs. Do I need to change any config parameters? reduce th…
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PConv may be just useful in only 1 GPU, I run it in two GPUs, it doesn't work. So it can be resolved?
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Can the parameter "--blocks_to_swap" use in multi-gpus settings? Without "--blocks_to_swap", how to finetuning the Flux in multi-gpus with 24GB?
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### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
source
### TensorFlow version
2.11.0
### Custom code
Yes
### OS platform and dis…
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Hi, am trying to use multi-GPU training using kaggle with two Tesla T4.
my code only runs on 1 GPU, the other are not utilized.
I am able to train with custom dataset and getting acceptable results…
Ayadx updated
5 months ago