mirror of
https://github.com/azaion/ai-training.git
synced 2026-04-22 06:56:34 +00:00
Oleksandr Bezdieniezhnykh
06b47c17c3
- Updated the coding rule descriptions to emphasize readability, meaningful comments, and test verification. - Revised guidelines to clarify the importance of avoiding boilerplate while maintaining readability. - Enhanced the testing rules to set a minimum coverage threshold of 75% for business logic and specified criteria for test scenarios. - Introduced a mechanism for handling skipped tests, categorizing them as legitimate or illegitimate, and outlined resolution steps. These changes aim to improve code quality, maintainability, and testing effectiveness.
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