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Run GPU smoke checks for lra and pdebench models in this repo (compile, instantiate, strict state_dict reload, and CUDA forward pass). Use this whenever validating that model wiring/loading/execution still works after refactors or syncs.
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
| name | gpu-model-smoke |
| description | Run GPU smoke checks for lra and pdebench models in this repo (compile, instantiate, strict state_dict reload, and CUDA forward pass). Use this whenever validating that model wiring/loading/execution still works after refactors or syncs. |
Use this skill when the user asks to validate that models in lra and pdebench compile, load, and run on GPU.
.venv exists with project dependencies.torch.cuda.is_available()).source .venv/bin/activate && python tests/gpu/smoke_models_gpu.py
compile_errors=0unexpected_failures=0pdebench.UPT may appear under expected_failures (known incomplete implementation in this repo).tests/gpu/smoke_models_gpu.py.unexpected_failures=0.