uv-install-torch

Streamline PyTorch GPU support in CI/CD. Integrate uv sync with optional extras for deterministic CUDA workflows using a single command. Automate your GPU builds efficiently.

Easily verify simultaneous imports of torch torchvision and torchaudio with uv Learn how to use optional dependencies custom indexes and mutually exclusive extras for a robust setup

Install PyTorch CPU-only without CUDA extras using uv. Configure optional dependencies in pyproject.toml and run uv sync --extra cpu for efficient, GPU-free installs.

Install PyTorch ROCm on AMD GPUs with uv. This guide details configuring pyproject.toml and using uv sync for a seamless ROCm-enabled PyTorch installation.

Learn how uv extra flags and pyproject.toml resolve PyTorch dependency conflicts by routing specific package indexes and preventing incompatible CUDA and CPU wheels.

Verify your PyTorch GPU setup after uv sync using the basic_calculation function. Confirm your environment is ready for deep learning tasks.

Ensure NVIDIA driver version compatibility with PyTorch CUDA Toolkit for GPU acceleration. Learn the minimum driver requirements for CUDA 12.4 and avoid CPU fallback.

Find the correct PyTorch wheel URL from download.pytorch.org for uv. Match your Python and CUDA versions in pyproject.toml for seamless installation. Get your guide now.

Master platform-specific PyTorch installation with uv. Learn to configure sys_platform and os_name in pyproject.toml for seamless CPU-only and CUDA builds. Optimize your environment-specific constraints.

Force a clean PyTorch reinstall by deleting .venv and uv.lock. Recreate your virtual environment and resolve dependencies from scratch for a fresh PyTorch installation.

Discover the crucial role of the uv.lock file in achieving reproducible PyTorch GPU installations. Ensure deterministic builds with precise CUDA wheel pinning.

Troubleshoot mixed NVIDIA package versions in uv pip list output by clearing cache, deleting lock files, and resyncing with proper CUDA extras. Resolve stale wheel metadata issues.