UV 无法安装指定 CUDA 版本的 pytorch

命令：

uv pip install --verbose torch==2.3.0 torchvision==0.18.0 torchaudio==2.3.0 --index-url https://download.pytorch.org/whl/cu121 

终端内容：

DEBUG uv 0.5.2 (195f4b634 2024-11-14) DEBUG Searching for default Python interpreter in virtual environments DEBUG Found `cpython-3.13.0-windows-x86_64-none` at `D:\xxx\.venv\Scripts\python.exe` (active virtual environment) DEBUG Using Python 3.13.0 environment at .venv DEBUG Acquired lock for `.venv` DEBUG At least one requirement is not satisfied: torchaudio==2.3.0 DEBUG Using request timeout of 30s DEBUG Solving with installed Python version: 3.13.0 DEBUG Solving with target Python version: >=3.13.0 DEBUG Adding direct dependency: torch>=2.3.0, <2.3.0+ DEBUG Adding direct dependency: torchvision>=0.18.0, <0.18.0+ DEBUG Adding direct dependency: torchaudio>=2.3.0, <2.3.0+ DEBUG No cache entry for: https://download.pytorch.org/whl/cu121/torch/ DEBUG No cache entry for: https://download.pytorch.org/whl/cu121/torchvision/ DEBUG No cache entry for: https://download.pytorch.org/whl/cu121/torchaudio/ DEBUG Searching for a compatible version of torch (>=2.3.0, <2.3.0+) DEBUG Searching for a compatible version of torch (>=2.3.0, <2.3.0+cu121 | >2.3.0+cu121, <2.3.0+) DEBUG No compatible version found for: torch × No solution found when resolving dependencies: ─ Because only the following versions of torch are available: torch<2.3.0 torch>=2.3.0+cu121 and torch==2.3.0+cu121 has no wheels with a matching Python ABI tag, we can conclude that torch==2.3.0 cannot be used. And because you require torch==2.3.0, we can conclude that your requirements are unsatisfiable. DEBUG Released lock at `.venv\.lock`