foxhunt

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jgrusewski 24afb2baf0 perf(htod): migrate gpu_dqn_trainer.rs residual COLD ctor sites to mapped-pinned (8 sites)

Residual COLD ctor sites missed by the original audit are now migrated
off explicit HtoD per `feedback_no_htod_htoh_only_mapped_pinned.md`:

- `:9922` sel_clip_buf 1-element init (sigmoid head clip-norm seed)
- `:10075-10078` spectral norm init_u_s1/v_s1/u_s2/v_s2 (4 calls)
- `:10095-10096` `alloc_spec_pair!` macro body — both u/v init uploads
  inside the macro now go through `upload_f32_via_pinned`; the macro's
  `$lbl_u`/`$lbl_v` are reused in the error-message format so per-pair
  failures stay diagnostically distinct
- `:11276` graph_params_host (60 floats: cross-branch graph message
  passing weights)
- `:11330` denoise_params_host (1800 floats: 2-step diffusion Q-refinement)
- `:11476` qlstm_weights_host (528 floats: QLSTM Xavier init)

All sites use `mapped_pinned::upload_f32_via_pinned` (the canonical
mapped-pinned + DtoD staging helper). The helper returns
`Result<_, String>` whereas this constructor returns
`Result<_, MLError>`, so each site wraps the error via
`.map_err(|e| MLError::ModelError(format!("<site> upload via pinned: {e}")))`.
Site labels preserved so backtraces remain readable.

docs/dqn-gpu-hot-path-audit.md updated with Fix 14 entry.

cargo check -p ml --lib clean at 12 warnings.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

2026-04-28 21:22:57 +02:00

infra

feat(infra): GPU training launcher with local/cloud routing

2026-02-23 11:19:58 +01:00

plans

feat(dqn): enable Branching DQN with 45 factored actions (5×3×3)

2026-03-11 22:00:13 +01:00

superpowers

spec+plan(moe): correct gate input dim 42 → STATE_DIM=128

2026-04-27 18:22:40 +02:00

dqn-gpu-hot-path-audit.md

perf(htod): migrate gpu_dqn_trainer.rs residual COLD ctor sites to mapped-pinned (8 sites)