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Oleksandr Bezdieniezhnykh
8c665bd0a4
- Updated SKILL.md for test-run to clarify the use of Docker and added a Docker Suitability Check to ensure proper execution environment. - Revised SKILL.md for test-spec to include a detailed Docker Suitability Assessment, outlining disqualifying factors and decision-making steps for test execution. - Adjusted the autopilot state to reflect the current status of test execution as in_progress. These changes improve the clarity and reliability of the testing process, ensuring that users are informed of potential constraints when using Docker.
1. Install necessary libs and drivers
https://www.python.org/downloads/
Windows
Linux
-
sudo apt install nvidia-driver-535 wget https://developer.download.nvidia.com/compute/cudnn/9.2.0/local_installers/cudnn-local-repo-ubuntu2204-9.2.0_1.0-1_amd64.deb sudo dpkg -i cudnn-local-repo-ubuntu2204-9.2.0_1.0-1_amd64.deb sudo cp /var/cudnn-local-repo-ubuntu2204-9.2.0/cudnn-*-keyring.gpg /usr/share/keyrings/ sudo apt-get update sudo apt-get -y install cudnn nvidia-cuda-toolkit -y nvcc --version
2. Install dependencies
- (Optional) Install virtual env:
pip install virtualenv python -m venv env env\Scripts\activate pip install -r requirements.txt pip uninstall -y torch pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu126
3. Fix possible problems
- cv2.error: OpenCV(4.10.0) ...\window.cpp:1301: error: (-2:Unspecified error)
pip uninstall -y opencv-python pip install opencv-python - fbgemm.dll error (Windows specific)
copypaste tests\libomp140.x86_64.dll to C:\Windows\System32