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Great work! But I've noticed that the current implementation seems to only support single-GPU training. Is that correct? If so, do you have any plans to extend support for multi-GPU training in the fu…
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**Describe the bug**
I have both an RTX 3070 and an AMD 5800XT in my system. All redering is being done on the 5800xt and the 3070 is really just here for the NVENC encoder. However MangoHud has ju…
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ggml_backend_cuda_init seems to be called with device 0 as a constant.
It then crashes with out of memory because it only has 8 GB, while another device contains 16.
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This work is great, but when running on three GPUs with three prompts, I get the following error, how do I fix this?
###
Rank 1 is running.
Rank 0 is running.
Rank 2 is running.
Loading pipelin…
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Are there any differences in the rendering results between single and multi-gpu training of 3DGS?
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how to run inference on multi GPUs, such as RTX4090, since it needs much more 24G?
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Hello, I was trying to use the motion planning examples in order to generate a dataset, but I didn't found a way yet to use it with multiple environment in parallel (with GPU parallelization). Is it s…
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# the code as follows:
```
CUDA_VISIBLE_DEVICES=1,2 accelerate launch train_flux_deepspeed_controlnet.py --config "train_configs/test_canny_controlnet.yaml"
```
# ERROE
```
The following values …
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### Description
I'm submitting multi-process jobs on slurm. The job script is
```
#!/bin/bash
#SBATCH -p gpu
#SBATCH --nodes=1
#SBATCH --ntasks-per-node=2
#SBATCH --gpus-per-task=1
#SBATCH --t…
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Hey guys, thanks for your great work, I wonder how to set Multi-GPU, I have realized some all reduce but look no fancy. Can you help to support Multi-GPU training and testing, thank you!