strange environment question, import torch is conflicts for import tensorrt

[ZeroLelouch1205]

Search before asking

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

YOLOv5 Component

Export

Bug

I'm running：

python export.py --data dataset/data.yaml --weights runs/train/exp4/weights/best.pt --include engine

but error:

I find that if import tensorrt first ,then import torch will report:

OSError: [WinError 127] 找不到指定的程序。 Error loading "C:\ProgramData\anaconda3\envs\YOLOv5\lib\site-packages\torch\lib\cublas64_11.dll" or one of its dependencies.

if import torch first, then import tensorrt will report:

OSError: [WinError 127] 找不到指定的程序。

only import torch or only import tensorrt is ok:

how can I fix this bug

Environment

-YOLOv5：V7 2022-11-22
-OS：win11
-python：3.9.17
-torch-2.0.1+cu118

Minimal Reproducible Example

No response

Additional

No response

Are you willing to submit a PR?

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

[github-actions]

👋 Hello @ZeroLelouch1205, 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>=3.8.0 with all requirements.txt installed including PyTorch>=1.8. 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):

• Notebooks with free GPU:
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Amazon Deep Learning AMI. See AWS Quickstart Guide
• Docker Image. See Docker Quickstart Guide

Status

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]

@ZeroLelouch1205 hi there! It seems like you are encountering a conflict when importing torch and tensorrt. This can occur due to compatibility issues between the two libraries. You might want to try using a virtual environment to manage the dependencies more effectively.

You can create a new virtual environment, install the required packages, and then run your YOLOv5 code within that isolated environment. This should help to resolve the import conflicts you are experiencing.

If you need further assistance with setting up a virtual environment or managing dependencies, please refer to the official documentation or feel free to ask for help. Good luck with your implementation, and thank you for your willingness to submit a PR!

[github-actions]

👋 Hello there! We wanted to give you a friendly reminder that this issue has not had any recent activity and may be closed soon, but don't worry - you can always reopen it if needed. If you still have any questions or concerns, please feel free to let us know how we can help.

For additional resources and information, please see the links below:

• Docs: https://docs.ultralytics.com
• HUB: https://hub.ultralytics.com
• Community: https://community.ultralytics.com

Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!

Thank you for your contributions to YOLO 🚀 and Vision AI ⭐