Add Primus pretrain integration (primus_pretrain)#146
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- Add scripts/Primus submodule (AMD-AGI/Primus) and docker/primus.ubuntu.amd.Dockerfile - Add scripts/primus_pretrain (run.sh, get_models_json.py, extract_primus_perf.py) - Register primus_pretrain in models.json before existing primus_pyt_* entries - Un-ignore tracked perf manifests and models.json in .gitignore run.sh: resolve local submodule via ../Primus (sibling of primus_pretrain under scripts/).
coketaste
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amathews-amd and
ppalaniappan-amd
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Pull request overview
Integrates Primus pretraining into the MAD/madengine workflow by adding a dedicated runner script bundle, a new Primus-based Docker image, and registering a new primus_pretrain model entry so Primus pretrain jobs can be launched consistently across environments.
Changes:
- Added
scripts/primus_pretrain/wrappers to run Primus pretrain and emitmultiple_resultsperf CSV. - Added a new
docker/primus.ubuntu.amd.Dockerfileand registeredprimus_pretraininmodels.json. - Added
scripts/Primusas a git submodule and adjusted.gitignoreto track key perf/model manifests.
Reviewed changes
Copilot reviewed 7 out of 8 changed files in this pull request and generated 4 comments.
Show a summary per file
| File | Description |
|---|---|
scripts/primus_pretrain/run.sh |
Wrapper to resolve Primus root/config, run pretrain, and post-process perf metrics. |
scripts/primus_pretrain/get_models_json.py |
Optional discovery of Primus configs as runnable models via globbing. |
scripts/primus_pretrain/extract_primus_perf.py |
Parses training logs and writes a multiple_results CSV. |
models.json |
Registers primus_pretrain ahead of existing Primus PyTorch training entries. |
docker/primus.ubuntu.amd.Dockerfile |
Defines a Primus image intended to bake in the Primus submodule. |
.gitmodules |
Adds the scripts/Primus submodule definition. |
.gitignore |
Stops ignoring tracked perf manifests and models.json. |
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| [submodule "scripts/Primus"] | ||
| path = scripts/Primus |
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run.sh: resolve local submodule via ../Primus (sibling of primus_pretrain under scripts/).