ultralytics / yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
https://docs.ultralytics.com
GNU Affero General Public License v3.0
50.16k stars 16.19k forks source link

Huawei Ascend GPU Support #11657

Closed tfidmmatthew closed 1 year ago

tfidmmatthew commented 1 year ago

Search before asking

Question

Does yolov5 support inference or training on Huawei Ascend GPU?

Additional

No response

github-actions[bot] commented 1 year ago

👋 Hello @tfidmmatthew, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it.

If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our Tips for Best Training Results.

Requirements

Python>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

git clone https://github.com/ultralytics/yolov5  # clone
cd yolov5
pip install -r requirements.txt  # install

Environments

YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

Status

YOLOv5 CI

If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training, validation, inference, export and benchmarks on macOS, Windows, and Ubuntu every 24 hours and on every commit.

Introducing YOLOv8 🚀

We're excited to announce the launch of our latest state-of-the-art (SOTA) object detection model for 2023 - YOLOv8 🚀!

Designed to be fast, accurate, and easy to use, YOLOv8 is an ideal choice for a wide range of object detection, image segmentation and image classification tasks. With YOLOv8, you'll be able to quickly and accurately detect objects in real-time, streamline your workflows, and achieve new levels of accuracy in your projects.

Check out our YOLOv8 Docs for details and get started with:

pip install ultralytics
glenn-jocher commented 1 year ago

@tfidmmatthew hello! At the moment, YOLOv5 does not support inference or training on Huawei Ascend GPU. However, we are constantly updating and improving our software, so it's possible that Ascend support will be added in the future. Thank you for your interest in YOLOv5!

tfidmmatthew commented 1 year ago

Thanks for your comment, well noted

glenn-jocher commented 1 year ago

@tfidmmatthew thank you for your comment! If you have any further questions or issues related to YOLOv5, please don't hesitate to reach out. We're always here to help!