Add pycurv-gpu dispatcher in curvature.run_pycurv.#61
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Introduce run_pycurv_gpu() as a thin wrapper around core.api.run_pipeline so surface_morphometrics can opt into the GPU backend without changing the default CPU path. Co-authored-by: Cursor <[email protected]>
Read curvature_measurements.use_gpu / gpu_device / gpu_batch_size from config, let --gpu override, fail fast if the GPU backend is missing, and pass the flags through to curvature.run_pycurv(). Co-authored-by: Cursor <[email protected]>
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Add use_gpu, gpu_device, and gpu_batch_size under curvature_measurements so new configs expose the optional pycurv-gpu backend. Co-authored-by: Cursor <[email protected]>
Read curvature_measurements GPU settings in refine_mesh, forward them into the pycurv subprocess, and delete stale .gpu_normals.npz alongside existing .gt/.vtp caches after vertex displacement. Co-authored-by: Cursor <[email protected]>
Add pycurv-gpu next to pycurv in environment.yml / environment-ubuntu.yml so GPU curvature is available by default; update install error messages accordingly. Co-authored-by: Cursor <[email protected]>
Cover use_gpu routing, write_gt=True on the GPU path, CLI --gpu / config use_gpu wiring, and keep DEFAULTS in sync with the template. Co-authored-by: Cursor <[email protected]>
Add a short pycurv-gpu section covering use_gpu / --gpu, install notes for CUDA torch, and troubleshooting for missing GPU backends. Co-authored-by: Cursor <[email protected]>
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Default behavior is unchanged: Test plan
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Introduce run_pycurv_gpu() as a thin wrapper around core.api.run_pipeline so surface_morphometrics can opt into the GPU backend without changing the default CPU path.