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### Your current environment
```text
PyTorch version: 2.4.0+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A
OS: Red Hat Enterprise Linux 9.4 (Plow)…
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# Implement Multi-GPU Support in Anomalib
- Depends on: https://github.com/openvinotoolkit/anomalib/issues/2257
## Background
Anomalib currently uses PyTorch Lightning under the hood, which provi…
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Not a problem on Macs since they only have 1 GPU.
On other machines, we default to tinygrad. Right now we pick the `DEFAULT` device.
The desired behaviour needs to be scoped out here. The simplest…
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I can't load (app.py) on my 24gb vram gpu, is there a way to split it across multiple cuda devices?
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I've been looking into the sd3 train branch, im trying to understand how are the loss gathered for multi-gpu and would love to understand the logic behind it.
I'm used to working with accelerator.gat…
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### What is the issue?
The main_gpu option is not working as expected.
My system has two GPUs. I've sent the request to `/api/chat`
```
{
"model": "llama3.1:8b-instruct-q8_0",
"message…
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I run your provided code of llama-3-8b with only one gpu but an error of multi-gpu running happens. The error info is as follows:
RuntimeError Traceback (most recent …
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excellent work!I'm writing to inquire about the possibility of adding support for multi-GPU evaluation to your evaluation framework. Currently, it seems that the existing evaluations are only designed…
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Hi there
so SD Training on 1 GPU Works just fine
but as soon as i enable multi gpu with 2 GPUs i get this error:
![Clipboard_08-18-2024_01](https://github.com/user-attachments/assets/8dc2bd36-ddc…
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Thank you for your great work!
However, I am wonder How to do inference on multi-gpus.
Looking forward to your reply!