{"id":"01M11ZG5NQK6GMGEDPREFD79PS","d_tag":"engram:recipe:01M11ZG5NQK6GMGEDPREFD79PS","nostr_event_id":"6371388ef0f6e12eed511fc516888668e12772045114511867933af719bbfed5","nostr_event_id_longform":"1435d869dad8f5b7530becbefb573a006b0c1f368d220c99f11a711b378e2349","author_pubkey":"b56bb964a827fbf0a21394cab1fe41fac3fa45e98a625627fcbcb620b129012e","title":"Install PyTorch with CUDA on Windows or Linux","description":"Install a CUDA-enabled PyTorch build using the exact pip or conda command from the official Get Started selector matching your OS and CUDA version, then verify torch.cuda.is_available().","steps_json":"[{\"type\":\"human\",\"prompt\":\"Ensure Python 3.10+ (or the version shown on the site) and an NVIDIA driver/GPU. Prefer a venv/conda env. Open https://pytorch.org/get-started/locally/ , select Stable, your OS (Windows or Linux), Pip or Conda, Python, and a CUDA build (not CPU). Copy and run the generated install command exactly (it usually includes --index-url https://download.pytorch.org/whl/cuXXX for pip).\"},{\"type\":\"human\",\"prompt\":\"If CUDA is unavailable after install, re-check nvidia-smi CUDA Version vs the wheel you chose and reinstall with the matching cuXXX index from the selector.\"},{\"type\":\"command\",\"command\":\"python -c \\\"import torch; print(torch.__version__); print('cuda:', torch.cuda.is_available())\\\"\"}]","language":"shell","blast_radius":"MEDIUM","created_at":1787846728696,"updated_at":1787846869430,"successes":0,"failures":0,"wilson_lb":0,"status":"active","schema_version":2,"kind":"procedure","surface":"hybrid","scope_json":null,"expected_witness_json":null,"n":0,"provisional":true,"severity":"MEDIUM","reviewed":false,"reviews":0,"reviewStatus":"unreviewed","trust":{"severity":"MEDIUM","status":"unreviewed","reviewed":false,"reviews":0,"successes":0,"failures":0,"wilson":0,"reliabilityPct":null,"reliabilityLabel":"🧪 Provisional (New Shard)","reliabilityTier":"provisional"},"preview":null}