 张宗平
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f20c2db803
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feat(m2): Projector Linear(256→896)+LayerNorm (T2.2)
- src/tsmm/model/projector.py: Projector (Linear + LayerNorm).
- tests/test_projector.py: 5 tests (shape, Qwen hidden alignment,
LayerNorm present, gradient flow, no-NaN).
- 66 tests passing.
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2026-06-30 00:17:47 +00:00 |
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张宗平
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545802d62c
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feat(m2): TS Encoder — Patchify + 2-layer Transformer (T2.1)
- src/tsmm/model/ts_encoder.py: Patchify (channel-independent unfold) +
TSEncoder (shared per-channel patch linear, mean-pool over channels,
learnable positional embedding, 2-layer pre-norm Transformer, LayerNorm).
- configs/ts_encoder.yaml: encoder/projector hyperparameters.
- tests/test_ts_encoder.py: 10 tests (shape, n_patches formula, window
values, determinism, gradient flow, param sanity).
- 61 tests passing; GPU fwd/bwd verified on RTX 3060 (39 MB peak).
Spec clarifications (small tier, comet-build Step 4):
- n_patches = (T-P)//S+1 ⇒ 127 for T=512 (design said 128; arithmetic slip).
- 'Channel-independent' = shared per-channel patch embed + mean-pool →
C-free output [B,n_patches,d]; channel identity carried by [属性] tokens.
- Actual params ≈2.1M (design's '≈4M' was a rough estimate).
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2026-06-30 00:16:54 +00:00 |
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张宗平
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722102b335
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feat(m1): real benchmark loader (T1.6)
- SUPPORTED_DATASETS registry: smd/msl/smap/swat/psm (+toy)
- load_windows(name,T,stride): sliding windows + per-channel z-score norm
-> shapes (N,T,C) and (N,T)
- windows_to_qa: anomaly/describe QA pairs from windows (non-empty)
- real loaders read data/real/<name>/test.npy (+test_label.npy) or TSMM_DATA_DIR;
raise clear FileNotFoundError when absent (testable offline via 'toy')
- write_eval_jsonl helper for eval_real.jsonl
- tests/test_real_bench.py (7 tests, RED->GREEN)
Exit criteria: >=2 datasets load (toy + registry of 5 real); window/label shapes;
QA non-empty; missing real data raises clearly.
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2026-06-29 23:30:30 +08:00 |
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张宗平
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9cfda37275
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feat(m1): offline generation pipeline + CLI (T1.5)
- tsmm.data.gen_pipeline.gen_one_sample: composes attrs/series/anomaly/event/missing/instruct
into one JSON-serializable sample (full schema)
- write_jsonl helper
- scripts/gen_synthetic.py: multiprocessing + tqdm CLI (--n/--out/--seed/--workers)
- regression: build_instruction('event') with empty events no longer raises (TDD RED first)
- tests/test_gen_pipeline.py (6 tests, RED->GREEN)
Exit criteria: python scripts/gen_synthetic.py --n 1000 -> 1000 samples, schema-OK,
all 6 categories balanced (~130-190 each).
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2026-06-29 23:29:04 +08:00 |
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张宗平
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1b4c6ddf4c
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feat(m1): instruction & answer generation, 6 categories (T1.4)
- describe / anomaly / root_cause / forecast / compare / event
- JSON answers (stats, anomaly_regions aligned w/ labels, forecast), text for cause/event
- evolve_instruction: deterministic Evol-Instruct-style rephrasing
- tests/test_instruct.py (12 tests, RED->GREEN)
Exit criteria: anomaly JSON json.loads-able & regions reconstruct labels; full suite 37 passed.
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2026-06-29 23:26:41 +08:00 |
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张宗平
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e2c0756a78
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feat(m1): synthesis — components + anomaly/event/missing (T1.3)
- generate_series: baseline + trend + seasonality + noise (opt heavy-tail)
- inject_anomaly: spike / level_shift / variance_change / missing_segment / drift
* non-overlapping segments (TDD caught an overlap bug) -> labels exactly
match contiguous [start,end) runs
* returns (series, point labels, segment metadata)
- couple_event: persistent per-channel step at t + event text
- add_missing: NaN drop at given rate
- tests/test_synthesis.py (14 tests, RED->GREEN; fixed overlap regression)
Exit criteria: seed-deterministic; labels cover segments; event step persistent.
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2026-06-29 23:25:08 +08:00 |
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张宗平
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6d10454484
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feat(m1): attribute vocab + sampling (T1.2)
- ATTRIBUTE_VOCAB (16 AIOps channels w/ units)
- FREQ_BANDS (6 sampling resolutions)
- sample_attributes(n_channels, seed) -> unique-name, reproducible
- tests/test_attributes.py (8 tests, RED->GREEN)
Exit criteria: fields complete, count correct, seed-reproducible.
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2026-06-29 23:22:40 +08:00 |
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张宗平
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748bf41c53
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feat(m1): scaffold tsmm package (T1.1)
- pyproject.toml (src-layout, deps per plan)
- src/tsmm/{data,model,train,eval} skeletons
- tests/test_smoke.py (RED->GREEN: importable + subpackages)
- configs/, scripts/, data/, checkpoints/ + .gitignore
- project venv (.venv) for reproducible env (M1 deps only; CUDA torch @ M2)
Verifications: import tsmm OK; pytest tests/ 3 passed.
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2026-06-29 23:21:47 +08:00 |
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