cuda_ml_runtime_audit: Audit the installed native backend

In cuda.ml: R Interface for the RAPIDS cuML Suite of Libraries

Audit the installed native backend

Description

Performs an explicit deep integrity check. It recomputes the hashes recorded when the requested backend was installed and validates native registration, loading the backend temporarily when needed. For the complete downloaded backend, it also validates the managed-runtime dependency closure.

Usage

cuda_ml_runtime_audit(device = c("gpu", "cpu"))

Arguments

device

Backend to audit: the complete "gpu" backend or the CPU-only nvForest backend.

Details

Use cuda_ml_backend_info() for routine, read-only inspection. That function performs only fast cache and inventory checks and does not load native code. Ordinary runtime reuse likewise performs only fast marker, inventory, size, and link checks.

Value

Invisibly returns TRUE.

See Also

cuda_ml_backend_info()

cuda.ml documentation built on Aug. 21, 2026, 9:14 a.m.