Implement Platform APIs with parity across Torch and MindSpore backends.
npx skills add https://github.com/mindspore-ai/hyper-parallel --skill platform-dev
Please help me install this Agent Skill. Skill: platform-dev Source: https://github.com/mindspore-ai/hyper-parallel/tree/main/.claude/skills/platform-dev Command: npx skills add https://github.com/mindspore-ai/hyper-parallel --skill platform-dev
Enables consistent cross-platform platform APIs development for HyperParallel, unifying PyTorch and MindSpore backend support, DTensor extensions, and shared platform utilities.
Add a new Platform API to the base class, implement corresponding backend logic for Torch and MindSpore, and validate parity with cross-backend tests.
High-intent search queries and answers about installing and using this skill.
To implement a cross-backend platform API, add the new API to the base class, implement corresponding backend logic for Torch and MindSpore, and validate signature and return type parity with cross-backend tests.
Cross-backend API parity ensures aligned signatures, return types, and error behavior across PyTorch and MindSpore backends, validated through unit and cross-backend tests including stream and process group handling.
Yes, platform development supports DTensorBase extensions and platform-agnostic operations, alongside platform-level features like FSDP, HSDP, Pipeline Parallelism, and Activation Checkpoint.
The best way to ensure alignment is to define the API in the base class, implement corresponding logic per backend, and validate parity using cross-backend tests with stream and process group handling.
You need cross-backend testing for platform-layer development when adding new platform APIs to ensure signature, return type, and error behavior parity across Torch and MindSpore backends, including stream and process group handling.
Cross-backend platform API development requires workflow governance to maintain consistent implementation standards, testing guidance, and documentation updates across PyTorch and MindSpore backends.
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