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Magnetar
Magnetar contains 10 collected skills from AXERA-TECH, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Hidden stage for magnetar. Assemble validated AXMODEL, SDKs, reports, and usage documentation into a customer delivery directory.
Convert remote or local AI models into AXera AXMODEL packages with Python and C++ SDKs for customer delivery. Use when Codex must acquire a model from Git/HuggingFace/URL/local path, export ONNX, compile with Pulsar2, simulate/validate AXMODEL accuracy, optionally run on AX hardware, generate SDKs, or package deployment artifacts.
Hidden stage for magnetar. Compile static ONNX to AXMODEL with Pulsar2 and record compile artifacts.
Hidden stage for magnetar. Export the acquired model to static-shape ONNX, validate it against the source model, and generate model_meta.json plus calibration data.
Hidden stage for magnetar. Acquire a remote or local model into TASK_DIR/origin without modifying the source.
Hidden stage for magnetar. Generate customer-facing Python and C++ inference SDKs from model_meta.json and AXMODEL artifacts.
Hidden stage for magnetar. Ensure Pulsar2 and the chip-specific C++ BSP/cross-compilation toolchain are available for compile and SDK validation.
Hidden stage for magnetar. Compare ONNX outputs with AXMODEL simulation outputs using task-relevant metrics.
Hidden stage for magnetar. Optionally deploy AXMODEL and SDK examples to an AX board and verify runtime behavior.
Hidden stage for magnetar. Initialize TASK_DIR structure, logs, status files, and stage directories.