error

[ShadyIskander]

Search before asking

• I have searched the YOLOv5 issues and found no similar bug report.

YOLOv5 Component

No response

Bug

PythonTLSSnapshot: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\core\PythonFallbackKernel.cpp:161 [backend fallback]
FuncTorchDynamicLayerFrontMode: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\functorch\DynamicLayer.cpp:493 [backend fallback]
PreDispatch: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\core\PythonFallbackKernel.cpp:165 [backend fallback]
PythonDispatcher: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\core\PythonFallbackKernel.cpp:157 [backend fallback]

Environment

No response

Minimal Reproducible Example

issue

Additional

m

Are you willing to submit a PR?

• Yes I'd like to help by submitting a PR!

[UltralyticsAssistant]

👋 Hello @ShadyIskander, thank you for bringing this issue to our attention. This is an automated response, and an Ultralytics engineer will also assist you soon.

For us to better understand and resolve the problem, could you please provide a minimum reproducible example? This would greatly help us diagnose and troubleshoot the issue effectively.

Make sure you are using a compatible environment: Python>=3.8.0 with all the necessary dependencies installed, including PyTorch>=1.8. Also, if possible, share more details about your setup and the steps leading to this error.

Additionally, check our documentation, which covers many aspects of YOLOv5 usage, from setup to advanced configurations. This might provide some helpful insights into resolving the issue.

If you haven't already, consider exploring our latest release of YOLOv8, designed to enhance performance and user experience across various object detection tasks 🦾.

Thank you for your patience and collaboration! 🚀

[pderrenger]

@ShadyIskander please ensure you are using the latest version of YOLOv5 and PyTorch. If the issue persists, try running your setup in a different environment, such as Docker or a cloud platform, to isolate the problem.