Older versions of pip often struggle with complex index URLs or large wheel files. Upgrading ensures better compatibility with the .whl format used by PyTorch. Upgrade pip: python -m pip install --upgrade pip Upgrade setuptools: pip install --upgrade setuptools Retry the installation command. Solution 3: Bypass SSL Verification
If you are on a restricted network (like a school or office), the "could not fetch" error is often triggered by SSL certificate blocking. You can tell pip to trust the PyTorch host specifically.
PyTorch 11.7 wheels have specific requirements. If your environment doesn't match, the fetch might fail because no compatible "candidate" was found. Older versions of pip often struggle with complex
If you are trying to install PyTorch and hitting the error "could not fetch url https //download.pytorch.org/whl/cu117/torch/", you are likely facing a connectivity issue, a pip configuration problem, or a version mismatch. This specific URL is the repository for PyTorch wheels compiled for NVIDIA’s CUDA 11.7.
: Ensure you are using a 64-bit version of Python. PyTorch does not support 32-bit Python for CUDA. Troubleshooting the "No Matching Distribution" Error Solution 3: Bypass SSL Verification If you are
pip install torch torchvision torchaudio --extra-index-url pytorch.org
To see which CUDA versions your system supports, you can always check the official PyTorch Get Started configurator for the most up-to-date installation strings. If your environment doesn't match, the fetch might
Strict corporate firewalls or VPNs blocking the PyTorch domain.