migrate-max-v2-to-v3
Skill207 starsChanged 4 months agoLicence not identifiedView on GitHub
Use when migrating a MAX model from the V2 graph API (max.nn.legacy, TensorValue, explicit Graph construction) to ModuleV3 (max.nn, Tensor, F.lazy() + compile()). Triggers on: "migrate to ModuleV3", "port a max.nn.legacy model to max.experimental", "convert TensorValue to Tensor", "update my model to the V3 API", "ModuleV3 migration". Workflow: read the concept map, rewrite imports and __call__ signatures, and replace graph building with compile(weights=...). Align weight names with the new module hierarchy and move the KV cache unflatten into forward(). Port sharding to a DeviceMesh when the V2 model is sharded, then verify greedy outputs match the V2 implementation.
In this repository10 other files it gives its agents.
- benchmark-modelSkill
- debug-modelSkill
- eval-modelSkill
- import-modelSkill
- mojo-gpu-fundamentalsSkill
- mojo-python-interopSkill
- mojo-syntaxSkill
- new-modular-projectSkill
- profile-modelSkill
- serve-modelSkill
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8 rules. About 0 are common, 3 are distinctive, and 5 are very specific to this project.
≈0
Common · estimate
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5
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≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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