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wifi-densepose/rust-port/wifi-densepose-rs/crates/wifi-densepose-train/src
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Claude a7dd31cc2b
feat(train): Complete all 5 ruvector integrations — ADR-016 
All integration points from ADR-016 are now implemented:

1. ruvector-mincut → metrics.rs: DynamicPersonMatcher wraps
   DynamicMinCut for O(n^1.5 log n) amortized multi-frame person
   assignment; keeps hungarian_assignment for deterministic proof.

2. ruvector-attn-mincut → model.rs: apply_antenna_attention bridges
   tch::Tensor to attn_mincut (Q=K=V self-attention, lambda=0.3).
   ModalityTranslator.forward_t now reshapes CSI to [B, n_ant, n_sc],
   gates irrelevant antenna-pair correlations, reshapes back.

3. ruvector-attention → model.rs: apply_spatial_attention uses
   ScaledDotProductAttention over H×W spatial feature nodes.
   ModalityTranslator gains n_ant/n_sc fields; WiFiDensePoseModel::new
   computes and passes them.

4. ruvector-temporal-tensor → dataset.rs: CompressedCsiBuffer wraps
   TemporalTensorCompressor with tiered quantization (hot/warm/cold)
   for 50-75% CSI memory reduction. Multi-segment tracking via
   segment_frame_starts prefix-sum index for O(log n) frame lookup.

5. ruvector-solver → subcarrier.rs: interpolate_subcarriers_sparse
   uses NeumannSolver for O(√n) sparse Gaussian basis interpolation
   of 114→56 subcarrier resampling with λ=0.1 Tikhonov regularization.

cargo check -p wifi-densepose-train --no-default-features: 0 errors.

https://claude.ai/code/session_01BSBAQJ34SLkiJy4A8SoiL4
 		2026-02-28 15:46:22 +00:00
..
bin feat(train): Add ruvector integration — ADR-016, deps, DynamicPersonMatcher 2026-02-28 15:42:10 +00:00
config.rs feat(rust): Add wifi-densepose-train crate with full training pipeline 2026-02-28 15:15:31 +00:00
dataset.rs feat(train): Complete all 5 ruvector integrations — ADR-016 2026-02-28 15:46:22 +00:00
error.rs feat(train): Add ruvector integration — ADR-016, deps, DynamicPersonMatcher 2026-02-28 15:42:10 +00:00
lib.rs feat(train): Add ruvector integration — ADR-016, deps, DynamicPersonMatcher 2026-02-28 15:42:10 +00:00
losses.rs feat(rust): Complete training pipeline — losses, metrics, model, trainer, binaries 2026-02-28 15:22:54 +00:00
metrics.rs feat(train): Add ruvector integration — ADR-016, deps, DynamicPersonMatcher 2026-02-28 15:42:10 +00:00
model.rs feat(train): Complete all 5 ruvector integrations — ADR-016 2026-02-28 15:46:22 +00:00
proof.rs feat(train): Add ruvector integration — ADR-016, deps, DynamicPersonMatcher 2026-02-28 15:42:10 +00:00
subcarrier.rs feat(train): Add ruvector integration — ADR-016, deps, DynamicPersonMatcher 2026-02-28 15:42:10 +00:00
trainer.rs feat(train): Add ruvector integration — ADR-016, deps, DynamicPersonMatcher 2026-02-28 15:42:10 +00:00