Allow the sealed ResNet and YOLO convergence protocol to run unchanged on the remote NVIDIA accelerator while retaining CPU and MPS support.
Constraint: Preserve fixed seeds, exact workloads, and one-device-per-run semantics
Rejected: Reuse mixed MPS and CUDA results | invalid cross-device production matrix
Confidence: high
Scope-risk: narrow
Not-tested: Full production matrix on RTX 3080 Ti
Migrate the package and examples to the tensor-native PyTorch implementation, add benchmark evidence, and add the guarded post-training convergence protocol with TensorBoard progress monitoring and hash-verified recovery.
Constraint: Preserve one-shot official-test sealing and auditable research artifacts
Rejected: Commit local .omc runs and downloaded datasets | multi-gigabyte runtime state is machine-local
Confidence: high
Scope-risk: broad
Not-tested: Production CUDA run on pieroot-server
jung-geun
pieroot.02@gmail.com