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### Describe the bug
While training flux-controlnet on a multi-GPU server and restricting the training to a single GPU, setting **_num_single_layers=0_** leads to an error:
[rank0]: Parameter indi…
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I'm very sorry for my ignorance, but apparently I'm not doing well with a very basic matter. I can't setup gpu-cuda. I tried different writing options in marker/settings.py:
TORCH_DEVICE=cuda
…
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# Prerequisites
I am using Tensorflow 2.5 in python 3.8.
I am trying to get the frozen_grpah.pb file by running following command
`!python Tensorflow\models\research\object_detection\export_infer…
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Dear author, I use yolov5s.pt to detect images. It takes 289 ms per frame on CPU and 127 ms per frame on rtx3070 graphics card. Why is it slow on GPU? Pytorch version yolov5 takes 11 ms per frame on r…
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I trained models with my custom dataset.
Yolov9-s model trained with my custom dataset is slower to detect than Yolov9-c trained with my custom dataset.
Execution command
`
python detect_dual.p…
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### **System information**
- **What is the top-level directory of the model you are using**: object_detection
- **Have I written custom code (as opposed to using a stock example script provided in T…
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GPU-GeForce GTX 1650
driver nvidia- 450
CUDA-10.1
CUDNN-7.6
Tensoflow-2.2.0
python-3.8.3
Ubuntu-18.04
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GPU targets have hard limits on many resources, and simply blow up when you overflow them.
Currently, we don't do much to catch these problems during lowering, so users see GPU API-level errors, wh…
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…