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| author | YurenHao0426 <blackhao0426@gmail.com> | 2026-02-09 11:00:39 -0600 |
|---|---|---|
| committer | YurenHao0426 <blackhao0426@gmail.com> | 2026-02-09 11:00:39 -0600 |
| commit | 13ddc8dc583d8b1355909970cb8c27f85b7d3c8b (patch) | |
| tree | 073534138604c1c49021ca7e334322262129f6ac /pyproject.toml | |
Initial implementation: DAGFormer Phase 1
- olmo_graph.py: Modified OLMo2-1B forward with per-head routing via 256x256 adjacency matrix A
- Proportional attribution for post-norm decomposition
- All 6 GPU sanity checks pass (baseline diff = 0.000001)
- predictor.py: Qwen3-Embedding encoder + MLP decoder + Gumbel-Sigmoid + cascading gate
- pipeline.py: End-to-end glue (predictor -> A -> OLMo -> NLL)
- trainer.py: Full training loop with DDP, gradient accumulation, eval, checkpointing
- dolma.py: Streaming Dolma v1.7 with sequence packing
- 43/43 unit tests pass
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Diffstat (limited to 'pyproject.toml')
| -rw-r--r-- | pyproject.toml | 21 |
1 files changed, 21 insertions, 0 deletions
diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..d9511ec --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,21 @@ +[project] +name = "dagformer" +version = "0.1.0" +description = "Context-conditioned DAG topology predictor for OLMo2-1B" +requires-python = ">=3.9" +dependencies = [ + "torch>=2.2", + "transformers>=4.40", + "datasets", + "wandb", + "pyyaml", + "einops", +] + +[build-system] +requires = ["setuptools>=64"] +build-backend = "setuptools.backends._legacy:_Backend" + +[tool.setuptools.packages.find] +where = ["."] +include = ["src*"] |