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).
张宗平
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