ruv
|
c63cf2ee77
|
feat: GCloud GPU training pipeline + data collection + benchmarking
- gcloud-train.sh: L4/A100/H100 VM provisioning, Rust build, training
with --cuda, artifact download, auto-cleanup ($0.80-$8.50/hr)
- training-config-sweep.json: 10 hyperparameter configs (LR, batch,
backbone, windows, loss weights, warmup)
- collect-training-data.py: UDP listener for 2-node ESP32 CSI recording
to .csi.jsonl with interactive/batch labeling and manifest generation
- benchmark-model.py: ONNX latency/throughput/PCK/FLOPs profiling with
multi-model sweep comparison
Co-Authored-By: claude-flow <ruv@ruv.net>
|
2026-04-02 22:04:57 -04:00 |
|