Software Development
Huawei Cloud CloudRobo Model Adapt Workflow
One-stop workflow for adapting models on the CloudRobo platform. Chains 4 sub-skills: huawei-cloud-cloudrobo-npu-patcher (PyTorch VLA → Ascend NPU adaptation), huawei-cloud-cloudrobo-weight-layout (standard checkpoint layout), huawei-cloud-cloudrobo-train-metrics (Octopus training metric reporting), and huawei-cloud-cloudrobo-inference-adapter (target-protocol inference interface adaptation), covering the full pipeline of "model code → trainable on NPU → weights produced in standard layout → platform metric visualization → protocol-based inference service". Use this skill when the user asks to adapt a VLA or robot foundation model end-to-end on the CloudRobo/Ascend platform, and the task involves two or more of: NPU migration, checkpoint conventions, training metric reporting, and inference protocol adaptation. Triggers include: "platform model adaptation", "end-to-end adaptation", "adapt to CloudRobo and deploy", "run training + report metrics + wire up inference", "模型适配", "端到端适配", "模型迁移到NPU", "在云机器人平台部署模型", "训练并上报指标".
- Publisher / source
- huaweicloud/huaweicloud-skills (found on skills.sh)
- Upstream record
- huaweicloud/huaweicloud-skills
- Version
- Version 1
- Published
- Publication review
- Approved for publication
- Content fingerprint
59076df972993da60efad613da94796786bfc0b6214e4768e127d402639d588e