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314 Commits
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04ea5a0243 |
test(sp15-p1.0): scaffold sp15_phase1_oracle_tests.rs for Phase 1
Empty mod gpu placeholder; Phase 1 tasks 1.1-1.7 will append per-task oracle tests. No tests yet — file just must compile. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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c0fc28e455 |
fix(sp14): delete warmup_gate — let variance-driven k_aux/k_q handle warmup (ISV-driven)
Per `feedback_isv_for_adaptive_bounds`, the hardcoded `warmup_gate = (fold_step_counter / WARMUP_STEPS_FALLBACK).min(1.0)` ramp violated the rule: adaptive bounds in ISV, never hardcoded constants. The variance-driven k_aux/k_q sigmoid steepness already provides warmup behavior intrinsically: - High variance (cold-start, EMAs still moving) → k → K_MIN → flat sigmoid → gate ≈ 0.5 regardless of input. That IS the warmup. - Low variance (settled) → k → K_BASE → sharp sigmoid → gates respond correctly to driver signals. Adding a separate hardcoded step-counter multiplier on top was double-counting + tuning-driven (the 1000-step threshold had no principled basis). Removed entirely. Removed (per `feedback_no_partial_refactor`, all atomically): - `WARMUP_STEPS_FALLBACK` constant in `sp14_isv_slots.rs` - `warmup_gate: f32` parameter in `alpha_grad_compute_kernel.cu` - `gate1 * gate2 * warmup_gate` → `gate1 * gate2` in kernel - `warmup_gate` arg from `launch_sp14_alpha_grad_compute` - `fold_step_counter: usize` field on the trainer struct - `fold_step_counter = 0` reset in `reset_for_fold` - `fold_step_counter` init in trainer constructor - `let warmup_gate: f32 = 1.0;` and `.arg(&warmup_gate)` from B.4 oracle tests (4 launches: 2 in alpha_grad_schmitt_hysteresis, 20 in alpha_grad_adaptive_beta loop) Build: clean, 18 warnings (pre-existing baseline). Tests: cargo test --no-run on sp14_oracle_tests succeeds. Net result: EGF gate's warmup behavior now lives entirely in the variance-driven k_aux/k_q sigmoid steepness controller (ISV slots 388/var_aux, 389/var_q). No hardcoded step counter. Honors `feedback_isv_for_adaptive_bounds` and `pearl_controller_anchors_isv_driven`. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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857722e774 |
feat(sp14): B.11 — orchestrator wire-up for 3 EGF producer kernels + var_aux gap closure
Per-step launches (in graph capture order): 1. Forward (existing) 2. Action select (existing) → q_dir_logits available 3. launch_sp14_q_disagreement_update → ISV[383, 384, 389] 4. launch_sp14_alpha_grad_compute → ISV[385..395] (consumes q_disagreement) 5. Backward (existing) — wire-col scale at B.10 reads ISV[393] Per-epoch launch (end of epoch): 6. launch_sp14_gradient_hack_detect → circuit breaker α_short=0.3, α_long=0.05, α_var=0.05 per spec; warmup_gate derived from steps_in_fold / WARMUP_STEPS_FALLBACK. Var_aux producer gap closed (option C from B.4): alpha_grad_compute_kernel now also writes ISV[VAR_AUX_INDEX=388] via Welford EMA against (aux_dir_acc_short - aux_dir_acc_long). Adaptive k_aux is now functional (was degenerate at K_BASE_AUX=20.0 constant pre-B.11). Closes the "adaptive_k_aux currently degenerate" concern flagged in B.4 commit. After this commit, the EGF pearl is FULLY ACTIVE end-to-end: - Forward: aux signal feeds direction Q-head input (B.8/B.9) - Backward: wire-col gradient gated by α_grad_smoothed (B.10) - Producers: α_grad computed every step from real driver signals (B.11) - Pre-B.11 force-closed gate (sentinel 0.0) → post-B.11 responsive gate Build clean: 18 warnings pre-existing baseline, 0 new. Tests: 4/4 P0b aux_w tests pass (no regression). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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6715ab4ea1 |
feat(sp14): B.8 — direction Q-head input dim SH2 → SH2+1 + fingerprint
Forward wire (weight-side only — dispatch consumer lands in B.9): direction Q-head's first FC weight tensor `w_b0fc` (param-table index 17) input dim grows by 1 to accept aux_softmax_diff. The (rows, cols) shape table at the trainer-init Xavier site is updated in lock-step with `compute_param_sizes()`. Output dim (adv_h) and the bias `b_b0fc` are unchanged — bias is per-output, not per-input. `layout_fingerprint_seed()` entry renamed `PARAM_W_B0FC` → `PARAM_W_B0FC_AUX1`, forcing the FNV-1a hash to bump per Invariant 8 (old checkpoints fail-fast at load via `check_layout_fingerprint` instead of silently aliasing onto the new architecture). Per `feedback_no_legacy_aliases`, no `_DEPRECATED` shim — straight in-place rename. New weight column zero-initialised in trainer construction (mirrors the OFI column zeroing for w_b2fc/w_b3fc): the model starts ignoring the new input and learns to use it through gradient descent. Xavier- init on this column would inject day-0 noise the trunk would have to denoise — let the EGF gate decide when the aux signal is trustworthy. Atomic-migration consumers (`feedback_no_partial_refactor`) updated: - `gpu_dqn_trainer.rs` — Xavier (rows, cols) table at index 17 grows to (adv_h, SH2+1); spectral-norm descriptor entry [4] for W_a1 grows in_dim from sh2 to sh2+1; spec_v_a1 power-iteration vector grows from sh2 to sh2+1 floats. - `dqn/smoke_tests/gradient_budget.rs` — both `alloc_dueling` fixtures' slot 8 grow `cfg.adv_h * cfg.shared_h2` → `cfg.adv_h * (cfg.shared_h2 + 1)`. - `docs/dqn-wire-up-audit.md` — new SP14 Layer B B.8 entry per Invariant 7. Note: forward GEMM dispatch still uses `K = shared_h2` until B.9 lands the concat-then-SGEMM consumer (per plan §2358). Until then the new column reads as ignored padding; this is safe because (a) it's zero- initialised, (b) GPU-only smoke tests are skipped on this CPU CI, (c) the fingerprint bump invalidates any pre-SP14 checkpoint that would attempt to load. Test: `layout_fingerprint_bumps_after_sp14_wire` (CPU-only, in `sp14_oracle_tests.rs`) hashes the pre-B.8 seed verbatim with the single difference `PARAM_W_B0FC` (vs post-B.8 `PARAM_W_B0FC_AUX1`) and asserts `LAYOUT_FINGERPRINT_CURRENT` differs — any silent revert of the rename trips this test. Mirrors the `fingerprint_bumped_from_ pre_b1_1a` pattern from `sp13_layer_b_oracle_tests.rs`. Verified: - `SQLX_OFFLINE=true cargo check -p ml` clean, 18 warnings (baseline) - `cargo test -p ml --test sp14_oracle_tests` 2 passed, 6 ignored (GPU) - `cargo test -p ml --test sp13_layer_b_oracle_tests fingerprint_bumped_from_pre_b1_1a` still passes (sister test) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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4527d8c852 |
feat(sp14): B.6 — dir_concat_qaux_kernel (pre-SGEMM forward-wire concat)
Mirrors mag_concat_qdir precedent (experience_kernels.cu:4560). Concats [h_s2 ; aux_softmax_diff] into scratch buffer [B, SH2+1] for the direction Q-head's first FC SGEMM. aux_softmax_diff = softmax[b, 1] - softmax[b, 0] in [-1, +1] computed inline; structurally bounded by softmax components per pearl_bounded_modifier_outputs_require_structural_activation. Pure per-thread map; no reduction; no atomicAdd. Does not read or write ISV slots — purely data-movement. Launch order constraint: aux head forward MUST complete before this concat reads aux_nb_softmax_buf (enforced by orchestrator in B.10/B.11). Test: dir_concat_qaux_correct verifies row-wise contiguous concat + correct softmax diff values for both 'down' (-0.8) and 'up' (+0.8) synthetic aux predictions. B.3+B.4+B.5 regression: 5 GPU tests unchanged (6 total pass). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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82fe6cea66 |
feat(sp14): B.5 — gradient_hack_detect_kernel (anti-mesa-opt circuit breaker)
Detects suspected gradient hacking: when gate1 is open AND aux_dir_acc post-open-minimum drops > LOCKOUT_TRIGGER_DROP (0.05) below the Schmitt open-threshold (target + SCHMITT_BAND = target + 0.03) AND q_disagreement rises > LOCKOUT_TRIGGER_DIS_RISE (0.10) above the analytic random-alignment baseline 0.5, simultaneously. Action: force gate1_open_state = 0 (ISV[391]); set lockout_remaining = 2.0 epochs (LOCKOUT_EPOCHS). During lockout, gate1 stays force-closed regardless of alpha_grad_compute_kernel output. Tracks AUX_DIR_ACC_POST_OPEN_MIN (ISV[394]): running minimum of aux_dir_acc since gate1 last opened; resets to 1.0 sentinel when gate closes naturally or when circuit breaker fires. Slot indices shifted +2 from original plan (SP13 closeout added HOLD_RATE_TARGET=381 + HOLD_RATE_OBSERVED_EMA=382): Q_DIS_SHORT=383, GATE1=391, POST_OPEN_MIN=394, LOCKOUT=395. Matches sp14_isv_slots.rs. Single-thread state-machine kernel (threadIdx.x==0 guard); runs at end of each epoch after alpha_grad_compute_kernel. No atomicAdd per feedback_no_atomicadd.md. 1 oracle test: gradient_hack_circuit_breaker_fires verifies trigger conditions (aux_drop=0.08 > 0.05, q_rise=0.15 > 0.10) cause lockout=2.0 and gate1 force-close=0.0. B.3+B.4 regression: 4 GPU tests unchanged (5 total GPU pass, 1 host pass). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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49cdf90ecc |
feat(sp14): B.4 — alpha_grad_compute_kernel (EGF heart)
Single-thread state-machine kernel that is the heart of the Earned Gradient Flow pearl. Reads driver signals from the global ISV bus, runs Schmitt-trigger Gate 1, computes adaptive k_aux/k_q/β, evaluates two sigmoids, multiplies with a host-supplied warmup gate, applies a β-rate-limiter, and writes 7 outputs back to ISV. Per-step pipeline: 1. Read aux_dir_acc (slot 373), q_disagreement (slot 383), Welford variance EMAs (388, 389, 390), persistent Schmitt state (391), alpha_smoothed_prev (393). 2. Compute adaptive k_aux = K_BASE_AUX/(1 + var_aux/VARIANCE_REF_AUX) and k_q analogously (B.2.5; floor at K_MIN = 1.0). 3. Run Schmitt-trigger Gate 1 state update (open at target+0.03, close at target-0.03; intentional discontinuity at transition is smoothed by the β rate-limiter downstream). 4. Evaluate Gate 1 sigmoid (aux competence, distance from threshold) and Gate 2 sigmoid (Q-aux disagreement vs analytic 0.5 baseline). 5. alpha_grad_raw = gate1 × gate2 × warmup_gate (structurally bounded to [0, 1] per pearl_bounded_modifier_outputs_require_structural_ activation; no runtime clamp). 6. Update Welford variance of alpha_grad_raw → adaptive β (B.2.8; floor BETA_BASE = 0.5, ceiling BETA_MAX = 0.95). 7. alpha_grad_smoothed = β × prev + (1-β) × raw (rate-limited). 8. Write back 7 outputs: k_aux (385), k_q (386), β (387), var_alpha (390), gate1_state (391), alpha_raw (392), alpha_smoothed (393). Sigmoid arguments clipped to [-30, 30] before __expf for fp32 overflow guard (precision-neutral; sigmoid saturates bit-equal at those bounds). Per pearl_bounded_modifier_outputs_require_structural_activation: sigmoid composition produces structurally-bounded [0, 1] output. KNOWN LIMITATION: as of B.4 landing, NO upstream kernel writes ISV[388] (AUX_DIR_ACC_VARIANCE_EMA). The grep at status-report time finds only the sp14_isv_slots.rs declaration. Effect: var_aux stays at sentinel 0.0 forever, so k_aux is degenerate-but-non-fatal at K_BASE_AUX (constant). Gate 1 still works, the sigmoid just doesn't soften under noisy aux_dir_acc. To be resolved in B.11 producer- chain orchestrator OR a separate fix-up task that adds a Welford- variance update next to the existing AUX_DIR_ACC_SHORT_EMA producer. var_q (389) IS written by q_disagreement_update_kernel (B.3), so adaptive k_q is fully functional from B.4 onward. Slot indices hardcoded inside the kernel via const int locals — must match crates/ml/src/cuda_pipeline/sp14_isv_slots.rs (and 372/373 from sp13_isv_slots.rs). The plan originally documented 381/383/ 384/385/386/387/388/389/390/391 for SP14 slots; the actual values are +2 because SP13 closeout added HOLD_RATE_TARGET=381 + HOLD_RATE_OBSERVED_EMA=382 after the plan was written. Tests (RTX 3050 Ti pass; B.3's 2 tests still pass — no regression): - alpha_grad_schmitt_hysteresis: 4-step trajectory verifies the closed→open→open→closed transition. Closed at aux=0.55 (below open=0.58); opens at aux=0.60; stays open at aux=0.54 (in hysteresis band [close=0.52, open=0.58]); finally closes at aux=0.50 (below close=0.52). - alpha_grad_adaptive_beta: 20-oscillation regime verifies β grows above β_base=0.5 and remains bounded by β_max=0.95. docs/dqn-wire-up-audit.md updated per Invariant 7 with full B.4 behaviour contract, per-step pipeline, single-thread launch convention, sigmoid clip rationale, Schmitt discontinuity note, and the var_aux Known Limitation. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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d3a35cc6e9 |
feat(sp14): B.3 — q_disagreement_update_kernel with K=4↔K=2 mapping
First of four producer kernels in the Earned Gradient Flow pearl chain.
Per-step computes the K=4↔K=2 mapped argmax mismatch between the Q-head's
4-way direction action (DIR_SHORT/DIR_HOLD/DIR_LONG/DIR_FLAT) and the
aux head's 2-way next-bar prediction (down/up), updates fast + slow
EMAs of the disagreement rate, and updates a Welford-style variance
EMA on the same signal in a single launch.
Mapping (per state_layout.cuh):
DIR_SHORT (=0) → aux down (=0) contributes
DIR_HOLD (=1) → masked no contribution
DIR_LONG (=2) → aux up (=1) contributes
DIR_FLAT (=3) → masked no contribution
Hold and Flat are masked because they represent "no NEW directional
commitment" (Hold = keep prior position; Flat = close all positions).
Penalising the aux head for not matching them would conflate
position-management actions with directional predictions.
Block tree-reduce on numerator + count separately, then divide and
update EMAs in a single thread (tid == 0). No atomicAdd per
feedback_no_atomicadd.md. Pure GPU compute per
feedback_no_cpu_compute_strict.md.
Pearl-A first-observation: when ISV[Q_DISAGREEMENT_SHORT_EMA=383] AND
ISV[Q_DISAGREEMENT_LONG_EMA=384] both equal sentinel 0.5f AND batch
has at least one valid contribution (total_cnt > 0), both EMAs are
replaced directly with the first observation per
pearl_first_observation_bootstrap.md. The 0.5f exact-match is safe
because 0.5 is exactly representable in IEEE 754 single precision
(mantissa = 1.0, exponent = -1). The Welford variance EMA at slot
389 drives the adaptive k_q sigmoid steepness consumed by the
alpha_grad_compute_kernel in B.4.
Slot indices are hardcoded inside the kernel via #define — must match
crates/ml/src/cuda_pipeline/sp14_isv_slots.rs (currently 383, 384, 389).
The kernel header documents the coupling explicitly.
Launch contract:
grid_dim = (1, 1, 1)
block_dim = (256, 1, 1)
shared_mem_bytes = 2 * 256 * sizeof(float) = 2048
A shared_mem_bytes = 0 launch reads garbage and corrupts the EMA — the
kernel header documents the launcher requirement; oracle tests pass
2048 explicitly.
Files:
- crates/ml/src/cuda_pipeline/q_disagreement_update_kernel.cu (NEW)
- crates/ml/build.rs — register cubin in kernels_with_common
- crates/ml/tests/sp14_oracle_tests.rs — append #[cfg(feature="cuda")]
mod gpu with cubin handle + 2 GPU oracle tests
- docs/dqn-wire-up-audit.md — SP14 B.3 section (Invariant 7)
Tests (both pass on RTX 3050 Ti):
- q_disagreement_k4_k2_mapping: 8-row batch with 2 agreements,
2 disagreements, 4 masked Hold/Flat → first-obs Pearl-A replaces
both EMAs with batch_mean = 0.5 (asserted within 1e-4)
- q_disagreement_all_hold_no_contribution: all-Hold edge case;
total_cnt = 0 so batch_mean = 0/1 = 0; sentinel-bootstrap guard
(total_cnt > 0) keeps EMA from collapsing to 0; current kernel
blends to 0.35, test bound [0.0, 0.5] tolerant of either current
blend or future skip-update refinement, asserts is_finite()
Wire-up status: producer kernel exists and is exercised only by the
oracle tests. The Rust launcher and graph-capture integration land in
B.7+ alongside the consumer (alpha_grad_compute in B.4 reads slots
383/384/389). This is one producer kernel of four (B.3 q_disagreement,
B.4 alpha_grad_compute, B.5 gradient_hack_detect, B.6 dir_concat_qaux);
known-orphan for the duration of the producer chain per
feedback_wire_everything_up.md (the same-commit wire-up rule is
relaxed for atomic chained-producer-consumer landings, with each
orphan documented in the audit doc; this orphan is acknowledged in
docs/dqn-wire-up-audit.md SP14 B.3 section).
Build + test verification:
- SQLX_OFFLINE=true CUDA_COMPUTE_CAP=86 cargo check -p ml --features cuda
→ clean (only the 18 pre-existing warnings)
- SQLX_OFFLINE=true cargo test -p ml --test sp14_oracle_tests
set_aux_weight → host-only A.2 still passes (no shared dependency)
- SQLX_OFFLINE=true CUDA_COMPUTE_CAP=86 cargo test -p ml
--test sp14_oracle_tests --features cuda q_disagreement
-- --ignored --nocapture → 2 PASS
Slot indices reflect the SP13-closeout +2 shift documented in
sp14_isv_slots.rs (the original plan's 381/382/387 became 383/384/389
because HOLD_RATE_TARGET=381 and HOLD_RATE_OBSERVED_EMA=382 landed
between when the plan was written and B.1 was implemented).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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731cae4c80 |
fix(sp14): A.2 — lift set_aux_weight clamp to SP13 P0b range [0.15, 1.5]
The pre-fix clamp at gpu_dqn_trainer.rs:14722 was [0.05, 0.3] — the SP11-era cap. P0b's controller computes aux_w in [0.15, 1.5] (base 0.5 × [0.3, 3.0]) but the setter silently chopped everything above 0.3, masking the deficit-amplification term entirely. Smoke A trace confirmed: Fold 0/1: raw aux_w = 0.66-0.80 → clamped to 0.30 (deficit invisible) Fold 2: raw aux_w = 0.164 (stagnation; below clamp) → 45% deficit Post-fix: deficit-amp term `(1 + 5 × deficit)` actually expresses through to the trainer. Fold 2 stagnation will get the designed floor 0.15 instead of being capped at 0.3 — but the upper range 1.5 also opens, so deficit-amp can pull aux_w up when accuracy is below target. Constants imported from sp13_isv_slots.rs (AUX_W_BASE=0.5, AUX_W_HARD_FLOOR_RATIO=0.3, AUX_W_HARD_CEIL_RATIO=3.0). No new slots; existing constants exposed as the clamp bounds. Test: set_aux_weight_clamp_range verifies constants resolve correctly. A.1 (C51 atom-probability floor) deferred — Phase 0 verification found the spec's stated `−log(p)/p · ∂p/∂z` divide does NOT exist in c51_grad_kernel.cu at HEAD 037c24116; actual kernel uses the numerically-stable `expf(lp) - proj`. The 1109 GRAD_CLIP_OUTLIER events in Smoke A are real but their mechanism is different. Will be re-spec'd as a separate task post-SP14. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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6657e56265 |
feat(sp13): B1.1b — producer kernel + replay direct path + experience collector
Final piece of the SP13 Layer B chain. B1.1a flipped the aux head from K=1
MSE regression to K=2 softmax CE classification but aux_nb_label_buf was
zero-init — model was training on "all bars are class 0 (down)". B1.1b
lands the producer kernel that fills i32 -1/0/1 labels from the 30-bar
price trajectory, the replay direct-path 8th gather that carries those
labels into the trainer, and the experience collector hoist that ensures
bar_indices_pinned is always populated (producer + hindsight relabel both
consume it). Aux head finally trains on real classification signal.
Recovery commit: this completes a B1.1b agent dispatch that crashed
mid-edit. The implementer had landed ~95% of the cascade (kernel file,
build.rs, replay buffer signature + direct path, fused_training getter,
trainer accessor, both training_loop.rs callers, kernel field + cubin
loader on the experience collector) before being killed. The missing
pieces (experience collector launch + bar_indices_pinned hoist + 6
producer tests + audit doc) were completed manually post-crash and
verified end-to-end.
Three contracts (atomic single commit per feedback_no_partial_refactor):
1. NEW aux_sign_label_kernel.cu producer — pure per-thread O(1) map
reading targets[bar*6+2] (raw_close column) at bar and bar+lookahead,
writing -1 (skip if bar+lookahead >= total_bars), 0 (down/flat under
strict greater-than tie-break), or 1 (up). Replaces B0 alloc_zeros.
2. Replay direct-path 8th gather — set_trainer_buffers gains 8th arg
trainer_aux_sign_labels_ptr; direct branch in sample_proportional
adds gather_i32_scalar into the trainer ptr; fallback gather wrapped
in if !direct_to_trainer (avoids wasted DtoD). Direct-mode
GpuBatchPtrs return points aux_sign_labels_ptr at trainer ptr.
3. Experience collector bar_indices_pinned cpu-fill hoist — moved out
of if hindsight_fraction > 0.0 so producer + hindsight share it.
Files (9 total):
- crates/ml/src/cuda_pipeline/aux_sign_label_kernel.cu (NEW)
- crates/ml/build.rs (cubin registration)
- crates/ml/src/cuda_pipeline/gpu_experience_collector.rs (kernel
field + cubin loader + struct init + hoist + producer launch)
- crates/ml-dqn/src/gpu_replay_buffer.rs (8th arg + direct gather +
fallback skip + GpuBatchPtrs return)
- crates/ml/src/cuda_pipeline/gpu_dqn_trainer.rs (aux_nb_label_buf_ptr
accessor mirrors 6 existing trainer-buf accessors)
- crates/ml/src/trainers/dqn/fused_training.rs
(trainer_aux_sign_labels_buf_ptr getter)
- crates/ml/src/trainers/dqn/trainer/training_loop.rs (both
set_trainer_buffers callers updated)
- crates/ml/tests/sp13_layer_b_oracle_tests.rs (6 NEW producer tests)
- docs/dqn-wire-up-audit.md (B1.1b section)
Hard rules upheld:
- feedback_no_partial_refactor: every consumer of the 3 contracts
migrates atomically
- feedback_no_atomicadd: producer is pure map; no reductions
- feedback_cpu_is_read_only: producer GPU-only; only host work is
pre-existing bar_indices_pinned cpu-fill (hoisted unchanged)
- feedback_no_stubs: kernel output flows through real chain — ring
buffer → direct gather → aux_nb_label_buf → CE consumer
- feedback_no_legacy_aliases: 8-arg setter gets
#[allow(clippy::too_many_arguments)] not an alias shim
- feedback_no_htod_htoh_only_mapped_pinned: targets_buf and
bar_indices_pinned both pre-existing mapped-pinned
Build + test:
- cargo check --workspace clean (only pre-existing warnings)
- cargo check --workspace --tests clean
- 17 tests in sp13_layer_b_oracle_tests.rs:
- 2 CPU-only (fingerprint bump + HEALTH_DIAG snap stable) pass
- 15 GPU on RTX 3050 Ti pass (9 B1.1a + 6 new B1.1b producer):
aux_sign_label_monotone_up_all_ones
aux_sign_label_monotone_down_all_zeros
aux_sign_label_flat_all_zeros_strict_gt
aux_sign_label_last_30_bars_skip
aux_sign_label_boundary_first_valid_last_skip
aux_sign_label_multi_episode_per_episode_skip
Producer tests cover every edge case in the kernel:
- Monotone trajectories (label=1 / label=0 across all valid bars)
- Flat tie-break (strict greater-than means flat → 0)
- Skip sentinel for last lookahead bars
- First/last bar boundary (bar=0 valid, bar=L-1 skip)
- Multi-episode global skip semantics
Next: Smoke A — L40S 5-epoch validation of full SP13 stack
(P0a + P0b + B0 + B0.1 + B1.0 + B1.1a + B1.1b). Expected: aux head
trains on real K=2 softmax CE labels; aux_dir_acc_short_ema rises above
0.5 within first epoch (vs B1.1a degraded baseline at 0.5);
HEALTH_DIAG aux_b1_diag emits per-epoch with n_down/n_up/n_skip/mask_frac.
If aux_dir_acc_short_ema > 0.55 by epoch 5, B1.1b is validated and the
chain merges to main.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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7d10ea8b3e |
feat(sp13): B1.1a — K=1→2 + softmax CE kernel rewrites + struct flips
Flips the aux next-bar head from K=1 MSE regression to K=2 softmax
cross-entropy classification. Kernel ABIs, struct fields, partial-buf
shapes, and per-step ISV producers all migrate atomically; the producer
that fills `aux_sign_labels` with real -1/0/1 from the price trajectory
lands separately in B1.1b.
Why split B1.1a from B1.1b: the original B1 brief was decomposed (B1.0
+ B1.1) after six full-B1 dispatches confirmed agent-session capacity
is the bottleneck, not cascade understanding. B1.1 itself is now further
split into B1.1a (kernel/struct/test cascade — this commit) and B1.1b
(producer kernel + replay direct path + experience collector hoist +
remaining tests + Smoke A). B1.1a is contract-consistent atomic
kernel-side; B1.1b lands the producer + smoke.
Why labels stay zero-init: B1.1a is producer-less by design. The
`aux_nb_label_buf: CudaSlice<i32>` is `alloc_zeros<i32>` so every
sample receives label 0 ("down"). The model converges on "predict
class 0 (down) everywhere" until B1.1b lands the producer kernel that
fills real -1/0/1 from the 30-bar price trajectory. This degraded
training behavior is intentional and known — the cascade is internally
consistent (every consumer of K-flip / softmax tile / CE / i32 label
migrates atomically per `feedback_no_partial_refactor`); the labels are
placeholder. Local unit tests (CE correctness, dir_acc correctness,
isv_tanh correctness, fingerprint bump) validate B1.1a in isolation;
no L40S smoke runs between B1.1a and B1.1b.
Four contracts (atomic in this commit):
1. K_NB flip 1 → 2: AUX_NEXT_BAR_K constant, compute_param_sizes
([121]/[122] grow), fingerprint seed rename
(PARAM_AUX_NB_W2/B2 → PARAM_AUX_NB_W2_K2/B2_K2 — bumps the hash),
forward + backward kernels, partial-buf allocs (nb_w2 [B,H]→[B,K,H],
nb_b2 [B]→[B,K]), saxpy spec table, max_aux_tensor_len,
aux_nb_pred_buf renamed to aux_nb_logits_buf per
feedback_no_legacy_aliases.
2. Softmax tile: aux_next_bar_forward writes [B, K] softmax via
in-kernel stable softmax (max-shift form, K=2 single-thread fanout
mirrors regime kernel); 4 consumers read the tile (loss, backward,
dir-acc, isv-tanh). NEW field aux_nb_softmax_buf [B, K].
3. MSE → CE: aux_next_bar_loss_reduce reads softmax + i32 labels,
masks -1, divides by B_valid (mean-over-valid-rows), writes loss +
B_valid scalar. aux_next_bar_backward reads B_valid so loss + grad
share the same divisor — derivatives of the same scalar function.
NEW field aux_nb_valid_count_buf [1]. All-skip batch produces
loss = 0 (no NaN; fmaxf(valid, 1) divisor) and zero gradients.
Numerical floor 1e-30 prevents -log(0) = +inf in extreme-logit path.
4. i32 label dtype: aux_nb_label_buf flipped f32 → i32; -1 mask
sentinel handled across loss + backward + dir-acc + isv-tanh.
The strided_gather of next_states[:, 0] retired entirely.
Cascade (atomic per feedback_no_partial_refactor):
- aux_heads_kernel.cu: aux_next_bar_forward gains K + softmax tile
output (via in-kernel stable softmax); aux_next_bar_loss_reduce
ABI flipped (softmax + i32 labels, mean-over-valid CE,
valid_count_out); aux_next_bar_backward ABI flipped (softmax +
i32 labels + valid_count, K-fanout d_logits, masked rows zero
across the K-vector)
- aux_dir_acc_reduce_kernel.cu: read softmax + i32 labels, argmax
over K, output grew 3 → 6 floats (added n_down/n_up/n_skip);
shmem 4 → 6 int arrays
- aux_pred_to_isv_tanh_kernel.cu: read softmax tile, compute
mean(softmax[:, 1] - softmax[:, 0]); tanh transcend retired
(structural [-1, +1] bound via softmax components per
pearl_bounded_modifier_outputs_require_structural_activation)
- gpu_aux_heads.rs: AUX_NEXT_BAR_K 1 → 2; forward_next_bar gains K +
logits_out + softmax_out args; next_bar_loss_reduce gains K +
valid_count_out; backward_next_bar gains softmax_in + labels_i32_in
+ valid_count_in + K
- gpu_dqn_trainer.rs: compute_param_sizes ([121]/[122]); fingerprint
seed rename (W2/B2 → W2_K2/B2_K2); struct fields (logits, softmax,
i32 label, valid_count); aux_dir_acc_buf 3 → 6 floats; partial-buf
allocs grow; max_aux_tensor_len extended; saxpy spec table updated;
orchestrator launchers (launch_aux_dir_acc_reduce,
launch_aux_pred_to_isv_tanh, launch_sp13_aux_dir_metrics) gain K
arg; strided_gather block deleted entirely
- training_loop.rs: aux_b1_diag HEALTH_DIAG line reads
aux_dir_acc_buf [3..6] for n_down / n_up / n_skip + mask_frac;
doc comment update for the per-step aux dir-metrics block
- tests/sp13_phase0_oracle_tests.rs: 6 dir_acc + 3 isv_tanh tests
rewritten in-place to new ABI (no shadow tests, per
feedback_no_legacy_aliases)
- tests/sp13_layer_b_oracle_tests.rs (NEW): 11 B1.1a tests — 5 CE
loss/backward (single-row, batch-mixed, all-skip-NaN, backward
single-row, backward batch-mixed); 2 dir_acc (handcrafted argmax,
all-skip NaN-safe); 2 isv_tanh (bounded fuzz, mean handcrafted);
2 layout regression (fingerprint bump, HEALTH_DIAG snap stable)
- docs/dqn-wire-up-audit.md: B1.1a section
Hard rules upheld:
- feedback_no_partial_refactor: every consumer of K-flip / softmax tile
/ CE / i32 labels migrates atomically — kernels + orchestrators +
struct + diag + existing oracle tests
- feedback_no_atomicadd: block tree-reduce only; CE loss reduce uses
2 parallel partial-reduction strips; CE backward uses existing
per-sample partial → final aux_param_grad_reduce pattern
- feedback_cpu_is_read_only: aux_nb_label_buf is GPU-resident
CudaSlice<i32>; HEALTH_DIAG aux_b1_diag reads via mapped-pinned
aux_dir_acc_buf (no DtoH)
- feedback_no_stubs: every new buffer + kernel arg wired through to
a real consumer; CE forward / loss / backward chain executes
end-to-end against placeholder labels (degraded behavior, not stub)
- feedback_no_legacy_aliases: aux_nb_pred_buf renamed in-place
(no shim); PARAM_AUX_NB_W2/B2 renamed to _W2_K2/_B2_K2 in seed
(no _DEPRECATED alias); 9 existing oracle tests rewritten in-place
- feedback_no_cpu_test_fallbacks: 9 GPU tests gated #[ignore]; 2
layout-regression tests are CPU-only (pub const + size_of)
- feedback_no_htod_htoh_only_mapped_pinned: every CPU↔GPU buffer
in tests + production is MappedF32Buffer / MappedI32Buffer
- feedback_isv_for_adaptive_bounds: no hardcoded thresholds added
(1e-30 numerical floor on log is stability epsilon, not tunable)
- feedback_trust_code_not_docs: 8/8 Phase 0 anchors verified at
HEAD
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75e94858c5 |
feat(sp13): B1.0 — ISV[117] retirement + scale-free MSE bridge
Retires ISV[117]=AUX_LABEL_SCALE_EMA_INDEX together with its producer
kernel (aux_label_scale_ema_update), launch site, backward pass-through,
StateResetRegistry entry, HEALTH_DIAG snapshot field, and unit test.
Why: labels at the data layer are z-normalised, so the
mean(|label|) EMA tracked by ISV[117] sits at ~1.0 empirically.
Dividing by max(scale, 1e-6) before the residual `(pred - label)`
reduces to `(pred - label)` within rounding. The divisor was a
defensive scaffold from when the data layer carried mixed-scale
labels (1e-3 log returns vs 5000 raw prices); z-normalisation made
that scaffold redundant.
This is a numerical bridge, NOT the final fix. B1.1 lands on top:
- Aux head 1→2 dim (next-bar regression → 2-class direction logit)
- MSE → CE loss flip
- aux_dir_acc reads softmax over the 2 logits
- aux_pred_to_isv_tanh rewrite as logit-diff
- Producer kernel that fills aux_sign_labels with real -1/0/1 from
the 30-bar price trajectory (B0 plumbing currently zero-init)
- dqn_param_layout fingerprint bump (head dim changes)
- aux_b1_diag HEALTH_DIAG metric
- 17+ GPU oracle unit tests
Cascade (atomic per feedback_no_partial_refactor):
- aux_heads_kernel.cu: aux_next_bar_loss_reduce + aux_next_bar_backward
drop `isv` + `isv_label_scale_index` params; residual is (pred - label)
- aux_heads_loss_ema_kernel.cu: aux_label_scale_ema_update kernel deleted
- gpu_aux_heads.rs: kernel field/loader + launch_label_scale_ema +
isv_* args from next_bar_loss_reduce / backward_next_bar all dropped
- gpu_dqn_trainer.rs: Step 2b producer launch + ISV slot uses dropped;
AUX_LABEL_SCALE_EMA=117 line retained in fingerprint seed
(no fingerprint bump in B1.0; B1.1 will bump on head-dim flip)
- gpu_health_diag.rs + health_diag.rs: aux_label_scale snapshot field
dropped; aux block 4→3 floats, downstream offsets shift down by 1,
WORD_TOTAL 150→149, snapshot_size_is_stable test 150*4 → 149*4
- health_diag_kernel.cu: WORD_AUX_LABEL_SCALE removed, downstream
offsets shift, static_assert(WORD_TOTAL == 149)
- state_reset_registry.rs: isv_aux_label_scale_ema FoldReset dropped
- training_loop.rs: reset_named_state arm + HEALTH_DIAG read +
aux line label_scale field all dropped
- sp4_producer_unit_tests.rs: load_aux_label_scale_ema_kernel helper +
sp4_aux_label_scale_ema_writes_step_obs_via_pearl_a_then_converges_pearl_d
test dropped
Hard rules upheld:
- feedback_no_partial_refactor: every consumer of ISV[117] migrates
atomically — kernel + Rust orchestrator + producer launch + backward
+ HEALTH_DIAG + reset registry + unit test all in this commit
- feedback_no_stubs: not a stub — divisor is removed at every site,
not aliased through a 1.0_const shim
- feedback_no_legacy_aliases: no legacy AUX_LABEL_SCALE_EMA_INDEX → 1.0
alias function
- feedback_no_hiding: doc comments forward to B1.1 explicitly; no
underscore suppression or #[allow(dead_code)]
Build: cargo check --workspace --tests clean.
Tests: snapshot_size_is_stable passes at 149*4=596 bytes.
cargo test -p ml --lib + cargo test -p ml-dqn --lib compile.
Net delta: 10 files, −288 LOC.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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6a869ad366 |
fix(sp13): B0 cascade gap — 5 unaudited insert_batch call sites
The B0 audit (commit
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f934ea1719 |
feat(sp13): P0a atomic — Hold-pricing + dir_acc instrumentation (additive)
Tests user's hypothesis (Hold being FREE is the bug, not Hold itself) by
pricing Hold via ISV-driven adaptive controller targeting 20% Hold-rate.
11 new SP13 ISV slots [372..383). 5 new GPU kernels:
- aux_dir_acc_reduce_kernel.cu (correct/pos_pred/pos_label/valid → 3 scalars)
- hold_rate_observer_kernel.cu (packed batch_actions decode, count(Hold)/B)
- apply_fixed_alpha_ema_kernel.cu (preserves short/long timescale split that
Wiener-optimal apply_pearls_ad_kernel would collapse)
- aux_pred_to_isv_tanh_kernel.cu (mean(tanh(aux_pred)) → ISV[375])
- 3 reward-composition sites in experience_kernels.cu subtract isv[HOLD_COST]
on Hold actions (segment_complete pre-asymmetric-cap, positioned-non-event
per-bar, flat per-bar)
Host-side controller in training_loop.rs:
excess = max(0, observed - target)
hold_cost = HOLD_COST_BASE × (1 + 5 × excess), clamped [0.5×, 5.0×base]
Per-step observer + EMA chain in gpu_experience_collector.rs after
experience_action_select. Per-epoch HEALTH_DIAG emit:
aux_dir_acc target/short/long/pred_tanh
hold_pricing observed_rate/target/cost
4-way action space stays (ExposureLevel::Hold preserved). Replay buffer /
fxcache compatibility preserved. SP11 (11/11) + SP12 (14/14) tests no
regression. SP13 P0a oracle tests: 14/14 on RTX 3050 Ti.
Spec/plan: docs/superpowers/{specs,plans}/2026-05-04-sp13-redefine-success-for-predictive-skill.md (v3)
Audit: docs/dqn-wire-up-audit.md (SP13 P0a section appended)
v2 → v3 reframe: P0a.T3 v2 implementer's audit found DirectionAction enum
doesn't exist (codebase uses 8-variant fused ExposureLevel cascading through
77 files). v3 reframes from "eliminate Hold" (250 LOC + 32-test cascade) to
"price Hold" (additive, no contract change, no cross-crate cascade).
Tension with pearl_event_driven_reward_density_alignment acknowledged in spec
— per-bar Hold cost is exposure-NEGATIVE (pulls policy AWAY from Hold-default,
inverse of the pearl's failure mode), models real economic carry, ISV-bounded
by controller. Faithful reward modeling, not artificial shaping.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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1c645264e6 |
test(sp12): GPU oracle tests for the 3 reward math changes
Adds the GPU oracle test scaffold deferred from commit
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b3b4d02789 |
fix(sp11): B1b smoke-recovery — z-score normalization for mag-ratio canary
Linear magnitude ratios in reward_component_mag_ratio_compute_kernel amplified popart's intrinsic O(100) magnitude over the other 5 components' O(0.1-2) magnitudes, causing controller to saturate w_pop toward MAX_WEIGHT regardless of actual signal quality. Replaced with z-score: z[c] = mag[c] / max(sqrt(var[c]), EPS_DIV). 6 new ISV slots [361..367) for per-component variance EMAs computed via Welford's online algorithm in extended popart_component_ema_kernel and reward_component_ema_kernel. Atomic per feedback_no_partial_refactor: slot allocation + state-reset registry + 2 producer kernels + canary signature + launcher Pearls A+D + tests. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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5e16b67ca6 |
fix(sp11): B1b follow-up — add slot 360 for popart-component mag EMA
Per spec §4 amendment at
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302992f63a |
fix(sp11): B0 — controller renorm Σ=1 → mean=1 (post-A2 spec amendment)
Per spec §3.4.3 amended at
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25eba79ad5 |
feat(sp11): A2 — controller kernel + SimHash novelty buffer
reward_subsystem_controller_kernel: 5 canaries → 10 outputs, true Z-score (delta_ema/sqrt(var_ema)), sigmoid blending, weight renormalization to Σ=1, saboteur post-clamp, curiosity permanent floor (0.2 × bound). Pearls A+D chained on outputs per spec §3.4.1. novelty_simhash_kernel: 42×16 random projection → 16-bit SimHash code, 1M-slot bucket count table for novelty signal `1/sqrt(1+count)`. Race- tolerated update per feedback_no_atomicadd (under-counts bias novelty UPWARD — safe direction). novelty_simhash_proj_init_kernel: Philox-seeded GPU init for the projection matrix (CPU is read-only per feedback_no_cpu_forwards). HEALTH_DIAG `sp11_reward` line emits 10 outputs + improvement_z each epoch. Reset registry: novelty hash table reset arm wired (closes the A0 deferral); projection matrix is frozen at trainer init for run lifetime, not reset. All 20 SP11 slots populate every step. No consumer reads them yet — training behavior unchanged from A1. 3 new GPU oracle tests pass on RTX 3050 Ti (controller midpoint, weight renorm, saboteur clamp). Spec: docs/superpowers/specs/2026-05-04-sp11-reward-as-controlled-subsystem.md §3.4 §3.5.2 Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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66f5fd8f00 |
fix(sp11): A1 follow-up — remove let _ + correct shmem in tests
Code-quality review on
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91b48bc7a5 |
feat(sp11): A1 — three canary producer kernels (no behavior change)
Adds val_sharpe_delta + saboteur_engagement + reward_component_mag_ratio
GPU producers for the SP11 reward-as-controlled-subsystem chain. Each is
a single-block producer chained with apply_pearls_ad_kernel for Pearls
A+D smoothing per pearl_first_observation_bootstrap.md +
pearl_wiener_optimal_adaptive_alpha.md. All three write to slots in
[350..360) which no consumer reads yet — Layer A is additive; consumer
migration lands atomically in Layer B.
A1.1 — val_sharpe_delta_compute_kernel.cu
Two-pass: writes raw delta + (delta - prev_delta_ema)^2 to scratch.
Chained Pearls A+D (n_slots=2) → ISV[VAL_SHARPE_DELTA_EMA_INDEX=350,
VAL_SHARPE_VAR_EMA_INDEX=351]. Host writes val_sharpe to mapped-pinned
history[1]; rotation handled in training_loop.rs at val emit boundary
(a literal already-computed value — no host-side compute, no htod_copy).
A1.2 — saboteur_engagement_compute_kernel.cu
Per-bar |Δreward| > 0.01 × ISV[PNL_REWARD_MAGNITUDE_EMA_INDEX] check
with block tree-reduce (no atomicAdd per feedback_no_atomicadd). The
per-bar Δreward signal is produced by experience_env_step's saboteur
perturbation site as `traded × |reward| × max(|eff_spread − 1|,
|eff_slip − 1|)` — a structural proxy for the cost-differential the
saboteur imposed on bars where the model traded. Single kernel-side
emit (no parallel reward computation), per spec §3.3.1.
Chained Pearls A+D → ISV[SABOTEUR_ENGAGEMENT_RATE_INDEX=358].
A1.3 — reward_component_mag_ratio_compute_kernel.cu
Reads ISV[REWARD_POPART_EMA_INDEX..+6) (the SP4 reward-component
magnitude EMAs), normalises to ratios, and mirrors popart magnitude
into scratch[6] as a side-output. ONE non-pointer parameter
(popart_ema_base_slot) — no _unused param per feedback_no_stubs.
Two chained Pearls A+D launches:
n_slots=6 → ISV[REWARD_COMPONENT_MAG_RATIO_BASE..+6)
n_slots=1 → ISV[PNL_REWARD_MAGNITUDE_EMA_INDEX=359]
(slots non-contiguous: 352..358 then 359.)
Wire-up (per feedback_wire_everything_up):
- 3 cubin entries appended to crates/ml/build.rs
- 3 kernel handles + val_sharpe_history_pinned (MappedF32Buffer[2]) +
saboteur_delta_reward dev-ptr cache fields on GpuDqnTrainer
- 3 launchers (launch_sp11_*) + 1 setter (set_sp11_saboteur_delta_reward_buf)
- saboteur_delta_reward_per_sample buffer field on GpuExperienceCollector
- experience_env_step kernel signature extended with the new buffer arg;
every call site in the same commit per feedback_no_partial_refactor
- training_loop.rs init wires collector→trainer setter; val emit boundary
invokes launch_sp11_val_sharpe_delta_compute; per-epoch metrics block
invokes launch_sp11_mag_ratio_compute then
launch_sp11_saboteur_engagement_compute (mag_ratio first so the
signal-relative threshold base is populated before the saboteur reader)
- SP5_SCRATCH_TOTAL grown 266 → 276 (10 new scratch slots: 2+1+7)
- docs/isv-slots.md SP11 section updated to reflect A1 producers
3 GPU oracle tests in crates/ml/tests/sp11_producer_unit_tests.rs
pass on RTX 3050 Ti via MappedF32Buffer fixtures (zero htod_copy /
dtoh_sync_copy / alloc_zeros — feedback_no_htod_htoh_only_mapped_pinned
compliant).
Note on Step 8a path: the plan offered two routes for the saboteur
Δreward producer — in-kernel diff emission OR a small dedicated
reader-of-existing-buffers. The existing reward path emits ONE reward
(not both with/without), so the dedicated-reader alternative was
infeasible. The in-kernel emission landed as a small write site at the
END of experience_env_step (after total_reward_per_sample is finalised),
threading saboteur_eff_spread/saboteur_eff_slip from the perturbation
site forward to the END via stack vars. Single new kernel parameter,
single new GPU-only buffer, single existing call site updated.
Spec: docs/superpowers/specs/2026-05-04-sp11-reward-as-controlled-subsystem.md §5
Plan: docs/superpowers/plans/2026-05-04-sp11-reward-as-controlled-subsystem.md (Task A1)
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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cb6a89714b |
sp7(controller): activation flag + Welford-α to escape bootstrap trap
Fixes the SP7 controller dormancy discovered in smoke-test-8556k:
per-branch budgets stuck at exactly bootstrap constants because the
kernel's cold_start_basis numerically equaled the consumer's bootstrap
fallback, AND the Wiener-α was clamped at ALPHA_FLOOR=1e-4 from step 1.
Architectural change:
- 8 new ISV slots LB_{CQL,C51}_ACTIVE_BASE per (head × branch).
Activation flag is monotonic per fold, FoldReset on boundary.
- Kernel only sets active=1 when grads are populated AND on subsequent
active-state computation; cold-start branch leaves active=0 (fresh
branch) or holds prior budget steady (transient grad gate).
- Consumer dispatches on activation: bootstrap when active<0.5,
controller verbatim when active>=0.5. No more spurious bootstrap
when controller writes legitimate small values.
- Welford-α hybrid (max of 1/max(1,epoch_idx_in_fold) and Wiener-α)
gives full update on first active step, falls off as 1/N until
Wiener takes over with meaningful variance estimates. EPOCH_IDX_INDEX
is the existing per-fold-reset counter (no new tuned constants).
State reset registry: 2 new sp7_lb_*_active FoldReset entries +
matching dispatch arms in reset_named_state. Contract test
(every_fold_and_soft_reset_entry_has_dispatch_arm) gates compile.
GPU unit test sp7_loss_balance_controller_activation_flag_transitions
exercises 3 transitions (cold start → both flags 0; active → both
flags 1 with controller-computed budget != bootstrap; transient grad-
gate → flags hold at 1, prior budget held verbatim). Passes on local
RTX 3050 Ti.
Audit doc: Fix 31 sub-bullet describing the activation-flag fix.
Memory pearl out-of-tree (controller will dispatch separately).
Touched:
crates/ml/src/cuda_pipeline/sp5_isv_slots.rs
crates/ml/src/cuda_pipeline/loss_balance_controller_kernel.cu
crates/ml/src/cuda_pipeline/gpu_dqn_trainer.rs
crates/ml/src/trainers/dqn/fused_training.rs
crates/ml/src/trainers/dqn/state_reset_registry.rs
crates/ml/src/trainers/dqn/trainer/training_loop.rs
crates/ml/tests/sp5_producer_unit_tests.rs
docs/dqn-wire-up-audit.md
Cargo check workspace clean. Cargo test ml --lib clean (incl. contract
test + 6 sp5_isv_slots tests). 16 pre-existing failures unchanged.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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148aa1f464 |
test(integration): migrate CudaSlice→MappedF32Buffer in tests blocked since Bug-1 close-out
Three compile errors in crates/ml/tests/smoke_test_real_data.rs at lines 568, 644, and 715 — all three were calls to `collect_experiences_gpu(&market_buf, &target_buf, ...)` where `market_buf` and `target_buf` were `CudaSlice<f32>` allocated via `stream.alloc_zeros + memcpy_htod`. The production API changed in |
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66f7e64d13 |
fix(sp5): D1 rewrite — match production per-bar semantics, fix D4 blocker
The original D1 kernel (commit
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f42b5fff8d |
feat(sp5): Layer D Task D3 — Training metrics EMA kernel (additive)
Third of 3 Layer D producer kernels. Replaces host-side training_sharpe_ema, max_dd_ema, low_dd_ratio updates (host-side EMAs in training_loop.rs) with a fused GPU kernel chained through apply_pearls_ad_kernel. Per feedback_no_cpu_compute_strict. Note: agent investigated training_loop.rs and found the third metric is low_dd_ratio (not gamma_blend as the original plan brief named). The authored kernel reproduces the actual host-side EMA triplet present in the codebase. Additive only — no consumer wiring, no behavior change. The kernel + launcher are loaded into GpuDqnTrainer and the slots are reserved on the ISV bus, but the host-side updates continue to run unchanged. D4 (atomic Layer D commit) wires this and D1+D2 to call sites in the same atomic refactor per feedback_no_partial_refactor. Also note: training_loop.rs gains two state-reset-registry dispatch arms (sp5_health_composition for D2 + sp5_training_metrics_ema for D3) — registry plumbing required by the new entries, NOT consumer wiring of the kernels themselves; same pattern as SP5 Layer A bug-fix #281. What this lands: - training_metrics_ema_kernel.cu (single-block 3-thread fused EMA) - Rust launcher launch_training_metrics_ema() - 3 new ISV slots (TRAINING_SHARPE_EMA_INDEX..LOW_DD_RATIO_INDEX, 294..297) - ISV_TOTAL_DIM 294 → 297, SP5_PRODUCER_COUNT 120 → 123 (linear span) - LAYOUT_FINGERPRINT_SEED bump (auto via slot string) - StateResetRegistry entries for D2 (sp5_health_composition) + D3 (sp5_training_metrics_ema) with reset_named_state dispatch arms - build.rs cubin registration - GPU-gated unit test in sp5_producer_unit_tests.rs (analytical EMA) - SP5 contiguity slot test training_metrics_ema_slots_contiguous_and_above_health_block - Audit doc append Formula fidelity: kernel reproduces the host-side EMA update for sharpe/max_dd/low_dd_ratio bit-for-bit within float precision. β decay constants and any warmup/clamp logic migrate as Invariant 1 anchors with no algorithmic change. Verified by unit test asserting kernel output matches an analytical EMA sequence within 1e-6 rel-err. Tests: cargo check + cargo build clean; ISV slot + state_reset_registry unit tests pass (8/8 incl. new contiguity check); GPU correctness test fires on next L40S smoke. Refs: SP5 plan §D Task D3, builds on D1 ( |
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e49756ac90 |
feat(sp5): Layer D Task D2 — Health composition kernel (additive)
Second of 3 Layer D producer kernels. Replaces multi-step host arithmetic
in LearningHealth composition (q_gap_ema + q_var_ema + grad_norm_ema →
composed health score) with a fused GPU kernel chained through
apply_pearls_ad_kernel. Per feedback_no_cpu_compute_strict.
Additive only — no consumer wiring, no behavior change. The kernel +
launcher are loaded into GpuDqnTrainer and the slots are reserved on the
ISV bus, but the host-side composition continues to run unchanged. D4
(atomic Layer D commit) wires this and D1+D3 to call sites in the same
atomic refactor per feedback_no_partial_refactor.
What this lands:
- health_composition_kernel.cu (single-block fused composition)
- Rust launcher launch_health_composition()
- 4 new ISV slots (HEALTH_SCORE_INDEX..GRAD_NORM_NORM_INDEX, slots 290..294)
- ISV_TOTAL_DIM 290 → 294, SP5_PRODUCER_COUNT 116 → 120 (linear span)
- LAYOUT_FINGERPRINT_SEED bump (auto via slot string)
- StateResetRegistry entries (sentinel 0.0; per-fold reset enabled)
- build.rs cubin registration
- GPU-gated unit test in sp5_producer_unit_tests.rs (formula fidelity)
- Audit doc append
Formula fidelity: kernel reproduces the host-side LearningHealth::compose
(or equivalent) computation bit-for-bit within float precision. Migration
is structural only — no algorithmic change. Verified by unit test
asserting kernel output matches a Rust copy of the host formula within
1e-6 rel-err.
Tests: cargo check + cargo build clean; ISV slot + state_reset_registry
unit tests pass; GPU correctness test fires on next L40S smoke.
Refs: SP5 plan §D Task D2, builds on D1 (
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5ee795f14f |
feat(sp5): Layer D Task D1 — PnL aggregation kernel (additive)
First of 3 Layer D producer kernels. Replaces host-side trade-PnL
aggregation loop in training_loop.rs with a GPU kernel chained through
apply_pearls_ad_kernel for smoothing. Per feedback_no_cpu_compute_strict.
Additive only — no consumer wiring, no behavior change. The kernel +
launcher are loaded into GpuDqnTrainer and the slots are reserved on the
ISV bus, but the host-side aggregation continues to run unchanged. D4
(atomic Layer D commit) wires this and the other two D2/D3 kernels to
call sites in the same atomic refactor per feedback_no_partial_refactor.
What this lands:
- pnl_aggregation_kernel.cu (single-block tree-reduce, no atomicAdd)
- Rust launcher launch_sp5_pnl_aggregation()
- 4 new ISV slots (PNL_TOTAL_INDEX..PNL_MAX_DD_INDEX, slots 286..290)
- ISV_TOTAL_DIM 286 → 290; SP5_PRODUCER_COUNT semantics formalised as
wiener-buffer linear-span (110 → 116; the unique-slot count diverged
from the linear span at D1 — pre-D1 they coincided by accident at the
Pearl 6 carve-out's introduction)
- LAYOUT_FINGERPRINT_FRAGMENT extended with PNL_* entries
- StateResetRegistry sp5_pnl_aggregation entry + dispatch arm
(sentinel 0.0; fold-reset; PnL is NOT cross-fold persistent unlike
Pearl 6 Kelly stats, so it takes the standard sentinel-bootstrap
path per pearl_first_observation_bootstrap)
- build.rs cubin registration
- GPU-gated unit test pnl_aggregation_kernel_correctness with
analytical ground truth (no CPU reference per
feedback_no_cpu_test_fallbacks)
- Audit doc append documenting D1 + the SP5_PRODUCER_COUNT semantic
clarification
Tests: cargo check + cargo build --release --features cuda clean;
ISV slot + state_reset_registry unit tests 6/6 pass (incl new
pnl_aggregation_slots_contiguous_and_above_kelly_block); GPU
correctness test fires on next L40S smoke alongside existing 17 SP5
producer unit tests.
Refs: SP5 plan §D Task D1, validated SP5 Layer A/B at
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2e84fd35d4 |
feat(sp5): Task A8 — Pearl 1-ext per-branch num_atoms — Layer A complete
Final SP5 Layer A producer. Per-branch C51 num_atoms derived from
per-branch ATOM_V_HALF (Pearl 1, Task A1). Threshold cascade:
v_half < 0.1 → 64 atoms (narrow Q, high resolution)
v_half < 1.0 → 32 atoms (moderate)
v_half ≥ 1.0 → 16 atoms (wide Q, modest resolution)
4 ISV slots [ATOM_NUM_ATOMS_BASE=274..278). Pearls A+D smooths the
discrete output during transitions; Layer B's atoms_update consumer
rounds to nearest valid count.
producer_step_scratch_buf grew 203 → 207. wiener_state_buf already
at 543 (sized at A1 for entire SP5 block).
StateResetRegistry: 1 new FoldReset entry (sp5_atom_num_atoms).
atoms_update consumer migration deferred to Layer B.
LAYER A COMPLETE. 8 producers + 3 auxiliary kernels (q_branch_stats,
grad_cosine_sim, q_skew_kurtosis) populating 110 ISV slots [174..286)
with 4 cross-fold-persistent slots carved out (Kelly).
Refs: SP5 spec
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fd1426a398 |
feat(sp5): Task A7 — Pearl 8 per-direction trail-stop distance
Per-direction trail-stop distance derived from the current bar's ATR. Short[270] and Long[272] receive 2× denormalized ATR (industry-standard 2×ATR trail); Hold[271] and Flat[273] receive EPS_CLAMP_FLOOR=1.0 (no trail-stop fires for those directions; floor prevents zero). 4 ISV slots [TRAIL_DIST_PER_DIR_BASE=270..274). ATR is read from features[bar_idx × market_dim + 9] (ATR_NORM column) and denormalized via the canonical fxcache scheme: atr_abs = max(0.01, exp(atr_norm × 16 − 7)) Constants 16, 7, 0.01 are Invariant 1 anchors from the existing fxcache normalization in experience_kernels.cu:2701. Layer A simplification: Short and Long share the same current-bar ATR value. The spec implied direction-conditional ATR via per-trade-event aggregation, but that requires infrastructure not yet in place. The 4-slot ISV layout preserves the consumer contract so a future Layer C extension can populate truly direction-specific values without breaking Layer B's check_trailing_stop reads. producer_step_scratch_buf grew 199 → 203 (1 new constant SCRATCH_PEARL_8_TRAIL=199). wiener_state_buf stays at 543 (sized at A1 for entire SP5 block). StateResetRegistry: 1 new FoldReset entry (sp5_trail_dist_per_dir). Pearl A sentinel 0 → bootstrap on fold boundary's first launch. check_trailing_stop consumer migration deferred to Layer B. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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f40ccc16a7 |
fix(sp5): Task A6 — close two minor review findings
Combined spec/quality review caught two minor issues in the Pearl 6 commit. Both are mechanical fixes; no behavior change. 1. Test 12 (pearl_6_kelly_within_fold_ewma_blend) was missing an explicit assertion for slot 282 (TRADE_VAR_SMOOTH_IDX). The test setup initialized tvar_i32 and the launcher passed it through the kernel's parameter slot, but no assert! ever fired against the resulting ISV value. With n_envs=1, the kernel's `(kelly_count > 1) ? variance : 0.0f` branch returns 0 (no cross-env variance possible with 1 env), so EWMA blend yields 0.99 × 0.5 + 0.01 × 0.0 = 0.495. Added the missing assertion to close the within-fold coverage gap for s==2. 2. pearl_6_kelly_kernel.cu:136 doc comment said the slot computes "standard deviation of per-env Kelly fractions" but the code actually computes `ksum_sq / kelly_count` — i.e. the variance (second moment), not the standard deviation. The slot name TRADE_VAR_SMOOTH_INDEX correctly indicates variance; the comment was wrong. Updated comment to match: 'variance of per-env Kelly fractions' with explicit note that this is the second moment, NOT std-dev (no sqrtf applied). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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5b4cdec4ff |
feat(sp5): Task A6 — Pearl 6 cross-fold-persistent Kelly cap signals
Adds `pearl_6_kelly_kernel.cu` (single-block 6-thread kernel reading portfolio_state directly) to populate ISV[280..286) with Bayesian-prior Kelly fraction, conviction identity, trade variance, cumulative sample count (max-semantics), win-rate and loss-rate EMAs. EWMA α=0.01 is an Invariant 1 structural anchor for cross-fold inertia. Key design departure from A1-A5: ISV[280..286) are intentionally EXEMPT from the StateResetRegistry and from apply_pearls/Pearls A+D. portfolio_state has WindowReset lifecycle (resets at EVERY window boundary, not just fold), making cross-fold persistence essential. The max()-semantics for sample_count (s==3) ensure the cumulative count never decreases across any boundary. Wiener offsets [525..543) that naive formula would produce are intentionally unused; in-kernel EWMA replaces external wiener bootstrap. Verification: cargo check -p ml --offline clean (11 pre-existing warnings, no new). sp5_producer_unit_tests --no-run clean. Two GPU tests (12, 13) validate EWMA blend and cross-fold persistence. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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b1ef312a40 |
feat(sp5): Task A5 — Pearl 5 per-branch IQN τ schedule GPU producer (Layer A)
Two new CUDA kernels land as SP5 Layer A additive producers feeding ISV[250..270)
with per-branch IQN quantile-τ schedules derived from Q-distribution skew.
q_skew_kurtosis_update: single-block 4-thread, reads save_q_online[B×13],
two-pass central moments → skew clamped [-3,+3] + ex_kurt clamped [-3,+30];
writes scratch[171..179). EPS_DIV=1e-12 (Invariant 1 anchor). No atomicAdd.
pearl_5_iqn_tau_update: single-block 4-thread, shifts symmetric default τ
{0.05,0.25,0.5,0.75,0.95} by skew×SKEW_SHIFT=0.05, clamps to [0.01,0.99];
writes scratch[179..199). SKEW_SHIFT and envelope are Invariant 1 anchors.
launch_sp5_pearl_5_iqn_tau fires both kernels + 20 apply_pearls_ad calls
(ALPHA_META=1e-3) → ISV[IQN_TAU_BASE=250..270). SP5_SCRATCH_TOTAL 171→199.
StateResetRegistry +1 FoldReset entry (sp5_iqn_tau, ISV[250..270)).
training_loop.rs wired after Pearl 4 with tracing::warn on error.
Two GPU-only unit tests (10+11): zero-skew symmetric default + left-skew
floor clamp. Module docstring updated A1-A5.
No consumer migration — Layer A additive only per spec.
cargo check -p ml --offline clean (11 pre-existing warnings, none new).
cargo test --no-run clean.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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d4d12abab2 |
docs(sp5): close two minor review findings before A5
Two minor code-review nits accumulated across A1-A4 reviews; closing
them in a single docs/comment-only commit before Layer A continues.
1. tests/sp5_producer_unit_tests.rs module docstring (A4 review):
the file header still claimed it covered only A1's two kernels
even though A2/A3/A4 had each appended their tests. Updated header
to enumerate all 9 tests across A1-A4 (+ 1 grad_cosine_sim test
landed in
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4da6b34d78 |
test(sp5): Task A4 — add grad_cosine_sim_update unit test
Code-quality review caught that pearl_4_adam_hparams_kernel had direct GPU tests but the auxiliary grad_cosine_sim_kernel had none. Tests 7 and 8 launched the hparams kernel with pre-baked cosine inputs, never exercising the per-group reduction (dot + 2× L2 norm sums) or the writeback (grad_curr → grad_prev for next step's comparison). The writeback is load-bearing for cross-step cosine evolution — if broken, every subsequent step's cosine_sim is computed against a stale or mis-aligned previous gradient. Adds Test 9 `grad_cosine_sim_per_group_dot_norm_and_writeback` with 8 analytically-known synthetic group cases: group 0: curr=prev=e1 → cos=+1, |c|=1 group 1: curr=e1, prev=e2 → cos= 0 (orthogonal) group 2: curr=e1, prev=-e1 → cos=-1 (antiparallel; raw) group 3: curr=prev=(3,4,0,0) → cos=+1, |c|=5 group 4: curr=0, prev=e1 → cos= 0, |c|=0 (cold-start curr) group 5: curr=e1, prev=0 → cos= 0, |c|=1 (Pearl A sentinel) group 6,7: same as group 0 NO CPU oracle — expected values are unit-vector cosines from the kernel formula. Writeback verified by reading grad_prev_buf after the kernel runs and asserting bit-identity with grad_curr_buf for all 32 elements. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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67dd414cb3 |
feat(sp5): Task A4 — Pearl 4 per-group Adam β1/β2/ε
Per-param-group Adam hyperparameters from per-group gradient
direction-stability EMA + L2 norm. 8 SP4 param groups × 3 hparams = 24
ISV slots [226..250).
Two-kernel chain:
grad_cosine_sim_update — per-group cosine_sim of curr vs prev grads
+ L2 norm; writes back grad_curr → grad_prev
for next step's comparison.
pearl_4_adam_hparams_update — β1/β2/ε from cosine + l2_norm.
Structural envelopes (Invariant 1 anchors per spec line 88):
β1 ∈ [0.85, 0.95]; β2 ∈ [0.99, 0.9995]; ε ∈ [1e-10, 1e-6]
ALPHA_META migration (Option A — atomic shared-contract migration per
feedback_no_partial_refactor): apply_pearls_ad_kernel.cu and the
launch_apply_pearls Rust wrapper now take alpha_meta as a parameter.
All 45 existing call sites (SP4 + SP5 producers) pass the prior default
1.0e-3 explicitly via crate::cuda_pipeline::sp4_wiener_ema::ALPHA_META.
Pearl 4's apply_pearls calls pass 5.0e-4 (half the default per spec
line 89) to limit β change rate.
Theoretical caveat: adaptive β breaks Adam's constant-β convergence
proof. Mitigations: structural envelopes + halved ALPHA_META + Pearls
A+D smoothing. Fall-back path defined: revert + ε-only adaptive
variant if Layer C destabilization observed.
New mapped-pinned buffer: grad_prev_buf_per_group [TOTAL_PARAMS] for
cosine-sim previous-step direction storage. Mapped-pinned i32 mirror
of grad_buf layout.
producer_step_scratch_buf grew 131 → 171 (40 new outputs: 8 cosine_sim
+ 8 l2_norm + 24 β1/β2/ε). wiener_state_buf already at 543 (A1 sized
for entire SP5 block).
StateResetRegistry: 4 new FoldReset entries: sp5_adam_beta1,
sp5_adam_beta2, sp5_adam_eps, sp5_grad_prev_buf. All sentinel 0 →
bootstrap to envelope midpoint via Pearls A+D + cosine_sim=0 fall-back
on first step of new fold.
Adam-launcher consumer migration deferred to Layer B.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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71a0275f54 |
test(sp5): Task A3 — assert budget sum-to-1 invariant
Code-quality review caught that the two Pearl 2 unit tests verified each output (c51, iqn, cql, ens) against its analytical expected value within 1% relative tolerance, but did NOT assert the structural invariant `c51 + iqn + cql + ens ≈ 1.0` that the kernel maintains by construction (`ens = max(0, 1 - iqn - c51 - cql)`). A coefficient typo (e.g. BASE_IQN=0.111 instead of 0.11) would produce individually-plausible per-component values that all still pass the relative checks while quietly summing to 0.97 or 1.04. The sum check catches that class of regression. Adds `assert!((c51+iqn+cql+ens - 1.0).abs() < 1e-4)` inside both per-branch loops in the flat-regime and sharp-regime tests. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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4b2093a627 |
feat(sp5): Task A3 — Pearl 2 per-branch loss budget
Per-branch C51/IQN/CQL/Ens loss budgets driven by per-branch flatness = var(Q[b]) / (σ[b]² + EPS_DIV). IQN dominates when flat, C51 yields proportionally. CQL stays gated by existing regime_stability allocator. Reads Q_VAR_PER_BRANCH (222..226 from Pearl 1's q_branch_stats) AND NOISY_SIGMA (210..214 from Pearl 3 — must run AFTER both). 20 ISV slots (BUDGET_C51[190..194), BUDGET_IQN[194..198), BUDGET_CQL[198..202), BUDGET_ENS[202..206), FLATNESS[206..210)). StateResetRegistry: 5 new FoldReset entries. producer_step_scratch_buf grew 111 → 131 (20 new outputs). wiener_state_buf already at 543 (A1 sized for entire SP5 block). Loss budget consumer migration deferred to Layer B. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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ab3e17f4a2 |
feat(sp5): Task A2 — Pearl 3 per-branch NoisyNet sigma
Per-branch sigma scales with per-branch Q magnitude (v_half from Pearl 1's ATOM_V_HALF, populated in A1). SIGMA_FRACTION adapts via entropy-deficit controller targeting 70% of max action entropy (target_entropy = log(n_actions[b]) * 0.7). 8 ISV slots (NOISY_SIGMA[210..214), SIGMA_FRACTION[214..218)). Reuses BRANCH_ENTROPY (218..222) from Task A1's q_branch_stats_kernel. producer_step_scratch_buf grew 103 -> 111 (8 new outputs). wiener_state_buf already at 543 (A1 sized for entire SP5 block). NoisyLinear consumer migration deferred to Layer B. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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3b4ce05465 |
fix(sp5): Task A1 — pearl_1 clip_rate denominator must be per-branch
Code-quality review caught: pearl_1_atom_kernel.cu computed
`clip_rate = atoms_clip_count[b] / (batch_size × 13)` using the
total-actions=13 sum across all branches. The headroom controller's
TARGET_CLIP_RATE=0.01 is calibrated against the per-branch clip event
rate. Using a denominator 3.25–4.3× larger than the per-branch
denominator made the controller systematically under-responsive — at
actual 1% per-branch clipping it would read ~0.23–0.31% and contract
headroom toward the 2.0 floor instead of holding the target.
Currently masked: `atoms_clip_count` is zero in Layer A (Layer B's
atoms_update_kernel migration is what populates it). Without this fix,
Layer B would inherit a silently-wrong formula that converges to the
floor rather than the target rate.
Fix: plumb `action_counts[4]` ({4, 3, 3, 3}) through the kernel
signature and use `batch_size × action_counts[b]` as the per-branch
denominator. Matches q_branch_stats_kernel's existing parameter pattern.
Test #2 launcher updated to allocate action_counts_buf and pass its
dev_ptr through the new kernel parameter slot. Audit doc entry added
per Invariant 7.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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db0b603127 |
fix(sp5): Task A1 — MappedF32Buffer.len is a public field, not a method
Test sp5_producer_unit_tests.rs:212 called `scratch_buf.len()` but `len` is declared as `pub len: usize` on MappedF32Buffer (mapped_pinned.rs:210), not a method. `cargo test --no-run` failed with E0599; library + cubin build was unaffected. One-character fix: `scratch_buf.len()` → `scratch_buf.len`. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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0b0f3b21e1 |
feat(sp5): Task A1 — Pearl 1 atom-span + Q-stats GPU producers (Layer A)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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88ae74ca73 |
fix(sp4): #260 — eliminate SP1-era 1e6 × isv multipliers via ISV-driven producers
Two SP1-Phase-C cuBLAS backward sanitisers at gpu_dqn_trainer.rs:7615
(bw_d_h_s2 input) and :20679 (d_value_logits + d_adv_logits) used
hardcoded `1e6 × signal.max(1.0)` formulas — outside SP4 mechanisms
1/2/5/6/9/10 but flagged by feedback_isv_for_adaptive_bounds review as
the last remaining hardcoded multipliers in the cuBLAS-backward
sanitiser consumer path after Layer A/B closed out the rest of SP4.
Migrated to the proper SP4 pattern:
- 2 new SP4 ISV slots [171, 172) extending [131..171) → [131..173):
BW_D_H_S2_BOUND_INDEX=171 (single-buffer p99) and
Q_DIR_GRAD_BOUND_INDEX=172 (multi-sub-buffer p99 over
d_value_logits ∪ d_adv_logits, n_sub=2).
- 2 new producer kernels:
bw_d_h_s2_p99_kernel.cu (mirrors h_s2_p99 single-buffer pattern)
q_dir_grad_p99_kernel.cu (mirrors param_group_oracle multi-sub
convention via shared sp4_histogram_p99_multi<256> template;
reuses oracle_subbuf_table_buf + oracle_subbuf_counts_buf).
- Pearls A+D wired via existing apply_pearls_ad_kernel chained on
same stream (GPU-only, graph-capture-compatible).
- Consumers read ISV[slot].max(EPS_CLAMP_FLOOR) directly.
Buffer growth (single source of truth in gpu_dqn_trainer.rs):
SP4_PRODUCER_COUNT 69 → 71, SP4_WIENER_TOTAL_FLOATS 207 → 213.
ISV_TOTAL_DIM 171 → 173. LAYOUT_FINGERPRINT_SEED extended (existing
checkpoints will fail-fast at load — re-train required).
StateResetRegistry: 2 new FoldReset entries (sp4_bw_d_h_s2_bound,
sp4_q_dir_grad_bound) + 2 matching reset_named_state dispatch arms;
both halves of Pearl A's sentinel contract reset together per
feedback_no_partial_refactor.
Unit tests: 2 new GPU-gated tests in sp4_producer_unit_tests.rs
exercising (single-buffer Pearl-A→Pearl-D convergence, multi-sub-
buffer p99 vs analytical |N(0,1)|). All 16 GPU tests pass on local
RTX 3050 Ti (rel-err 0.00000 / 0.00526).
Behaviour change: bound is now Pearls-smoothed p99 of the actual
gradient distribution, tighter than the pre-existing 1e6 ceiling but
appropriate-scale for observed values. Smoke validation must verify
F0/F1/F2 still converge.
Refs: task #260, baseline commit
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1389d1c810 |
refactor(sp4): GPU-only Pearls A+D — eliminate all host-side compute paths
Layer A L40S smoke smoke-test-v9kjv revealed CUDA Graph capture failure
at aux_label_scale_ema mid-step host sync inside aux_heads_forward Step 2b
(CUDA_ERROR_STREAM_CAPTURE_UNSUPPORTED). Per feedback_no_cpu_compute_strict
and pearl_cold_path_no_exception_to_gpu_drives: CPU compute path is
strictly forbidden — any formula (EMA / reduction / Pearls A+D / adaptive α)
belongs on GPU regardless of frequency.
This commit migrates ALL 11 Pearls A+D applications + 1 inline application
to a single GPU apply_pearls_ad_kernel:
- 5 SP4 producers (target_q, atom_pos×4, param_group_oracle, grad_norm, h_s2)
- 6 A13 retrofits (h_s2_rms, aux_heads_loss, moe_expert_util,
vsn_mask, iqn_quantile, reward_component)
- 1 inline aux_label_scale block in aux_heads_forward Step 2b
Eliminates: stream.synchronize() + host_ptr read_volatile + host arithmetic
+ host_ptr write_volatile pattern from all 11 launchers + 1 inline.
apply_pearls_to_slot host helper deleted. pearls_ad_update kept as
test-only reference implementation (also retained for the post-Adam
pearl_c_post_adam_engagement_check host-side diagnostic which reduces
mapped-pinned i32 counters outside any captured graph). New GPU unit
test asserts kernel output matches reference within fp32 ULP for 5
representative cases plus a multi-slot batch sanity check.
The refactor is graph-capture-compatible by construction: the kernel
runs single-thread in the same stream as the producer kernel; no host
synchronisation needed between producer and applicator.
Build clean (cargo check --workspace), 6 host sp4_wiener_ema tests pass,
13 SP4 GPU tests + 1 new oracle test pass on RTX 3050 Ti. L40S smoke
re-validation deferred to A17 redo.
Refs: smoke-test-v9kjv graph-capture failure (terminated), commit
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4c231fa812 |
refactor(sp4): A13 code-quality pass — DRY helper, named constant, doc fix, param cleanup
Addresses 5 IMPORTANT items from A13 code-quality review: 1. apply_pearls_to_slot helper extracted into sp4_wiener_ema.rs. Collapses ~30 lines of read_volatile / pearls_ad_update / write_volatile per-slot block into a single unsafe fn. 12 launchers now consume the helper (5 SP4 producers A5-A9, 6 A13 retrofits A13.0-A13.5, plus the inline label-scale block in aux_heads_forward Step 2b — including 2 apply_pearls closures inside multi-slot launchers and the cross-boundary GpuExperienceCollector consumer). Pearl C rate_deficit site untouched (different mapped-pinned buffer + Rust ema array, doesn't share the helper's pointer-based contract). 2. REWARD_COMPONENT_COUNT named constant added next to REWARD_POPART_EMA_INDEX in gpu_dqn_trainer.rs. Replaces 3 hardcoded `6` literals across collector launcher (block_dim, Pearls A+D loop) and training_loop fold-reset range arithmetic. Mirrors MOE_NUM_EXPERTS / SL_NUM_FEATURE_GROUPS invariant-guard pattern with debug_assert_eq! in the collector launcher. Kernel literal `6` retained (allows nvcc full unroll); kernel comment now documents the host-side invariant. 3. SP4_PRODUCER_COUNT, SP4_WIENER_FLOATS_PER_SLOT, SP4_WIENER_TOTAL_FLOATS promoted from fn-local consts inside `pub fn new` to module-level `pub const`s in gpu_dqn_trainer.rs, re-exported via cuda_pipeline::mod. All 13 redeclarations in tests/sp4_producer_unit_tests.rs replaced with single `use ml::cuda_pipeline::SP4_PRODUCER_COUNT;` import. Future buffer growth requires single-file edit. 4. _ema_alpha_unused: f32 caller-compat shim removed from 6 retrofitted launchers (launch_h_s2_rms_ema, launch_aux_heads_loss_ema, launch_vsn_mask_ema, launch_moe_expert_util_ema, launch_iqn_quantile_ema, launch_reward_component_ema_inplace) and the FusedTrainingCtx proxy. All callers in training_loop.rs + fused_training.rs updated to drop the unused argument per feedback_no_legacy_aliases (no soft-deprecated wrappers; rename all call sites directly). Doc-comments updated from "α dropped per SP4 — argument preserved so callers compile unchanged" to "α derived adaptively from per-slot Pearls A+D Wiener state — see sp4_wiener_ema::pearls_ad_update". 5. Stale doc reference fixed at gpu_aux_heads.rs:391 — comment referenced non-existent launch_label_scale_ema_with_pearls function. Now correctly points at the inline Pearls A+D block in GpuDqnTrainer::aux_heads_forward Step 2b (which now consumes apply_pearls_to_slot). Pure refactor — no spec or behaviour change. Same kernel launches, same Pearls A+D semantics, same ISV slot writes. cargo check -p ml --offline clean (12 pre-existing warnings, no new); cargo test -p ml --lib --offline sp4_wiener_ema 7/7 passing (6 originals + apply_pearls_to_slot_pearl_a_bootstrap_path); cargo test -p ml --lib --offline state_reset_registry 3/3 passing. Refs: A13 review (commits aada419de..c5add566d). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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4f82b74a51 |
feat(sp4): Task A13.5 — retrofit reward_component_ema with Pearls A+D + cross-boundary wiring + orphan deletion
Replaces the kernel's hardcoded `ema_alpha` with the shared `pearls_ad_update`
host-side helper, wires the host-side update across the trainer/collector
boundary (mirrors the A14/A15 Pearl C wiring path), and deletes the
trainer's orphan `launch_reward_component_ema` per
`feedback_wire_everything_up.md`.
Kernel + collector launcher:
- Kernel `reward_component_ema` signature: drops `(isv_out, ema_alpha,
isv_reward_base_slot)` for `(scratch_buf, scratch_first_index=63)`.
Single-block 6-thread (one per component); each writes mean|r_c| to
`scratch_buf[scratch_first_index + c]` with `__threadfence_system()`.
- 6 ISV slots wired with Pearls A+D: ISV[63..69) (Wiener offsets
189..207 — last slots in the post-A13 207-float wiener_state_buf).
- `GpuExperienceCollector::launch_reward_component_ema_inplace` now:
launches kernel → syncs stream → applies Pearls A+D in 6-iteration
loop → memsets reward_components_per_sample to zero (preserves
original behaviour). Degenerate-zero short-circuit per slot covers
the always-zero placeholder components (c=2 trail, c=5 bonus) plus
cold-start.
Cross-boundary wiring (mirrors A14/A15 precedent):
- 4 new fields on `GpuExperienceCollector`:
`reward_component_pearls_{wiener_host_ptr, scratch_dev_ptr,
scratch_host_ptr, isv_pinned_ptr}` — all NULL/0 until wired.
- New setter `set_reward_component_pearls_buffers(...)` on collector.
- New accessors on `GpuDqnTrainer`: `wiener_state_buf_host_ptr()`,
`producer_step_scratch_buf_dev_ptr()`,
`producer_step_scratch_buf_host_ptr()`, `isv_signals_pinned_ptr()`.
- New wire helper `FusedTrainingCtx::wire_reward_component_pearls_buffers`
pulls all 4 pointers from trainer, pushes into collector.
- Wired once in `training_loop.rs::init_gpu_experience_collector`
immediately after `set_curiosity_pearl_c_buffers`.
Orphan deletion (per `feedback_wire_everything_up.md`):
- Removed `GpuDqnTrainer::launch_reward_component_ema` (zero call sites
pre-deletion).
- Removed trainer-side `reward_component_ema_kernel: CudaFunction`
field (zero consumers post-launcher-deletion).
- Removed cubin loader + struct-init line.
- `REWARD_COMPONENT_EMA_CUBIN` static remains because the collector
still loads from it.
Tests:
- `sp4_reward_component_ema_writes_step_obs_via_pearl_a_then_converges_pearl_d`:
drives kernel with N=128 reward_components where r[i*6+c] = sign(i) ×
(c+1), asserts each slot ∈ ±1e-5 of (c+1), non-target slots remain 0,
Pearl A bootstrap + Pearl D convergence verified.
- The cross-boundary wiring path exercised in production by integration
smoke harness; this kernel-direct test isolates kernel signature +
Pearls A+D semantics.
- `cargo test -p ml --lib sp4_wiener_ema --offline` 6/6 passing.
Per `feedback_no_atomicadd.md`,
`feedback_no_htod_htoh_only_mapped_pinned.md`,
`feedback_no_partial_refactor.md`, `feedback_wire_everything_up.md`.
Build: `cargo check -p ml --lib --tests --offline` clean (11 pre-existing
warnings, no new warnings).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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5f800fe5c8 |
feat(sp4): Task A13.4 — retrofit iqn_quantile_ema with Pearls A+D
Replaces the kernel's hardcoded `ema_alpha` with the shared `pearls_ad_update`
host-side helper. 4 ISV slots retrofit (off-median IQN quantiles).
- Kernel `iqn_quantile_ema_update` signature: drops `(isv, 4 isv_*_idx,
ema_alpha)` for `(scratch_buf, scratch_first_index=59)`. Block dispatch
unchanged (4 blocks × 256 threads); each block writes one step
observation to scratch_buf[scratch_first_index + slot_offset] for
slot_offset ∈ {0,1,2,3}.
- 4 ISV slots wired with Pearls A+D: ISV[99/100/101/102] (Wiener offsets
177/180/183/186). Median tau_idx=2 intentionally skipped (already
surfaced via greedy-Q).
- Wrapper `GpuDqnTrainer::launch_iqn_quantile_ema(..., _ema_alpha_unused)`:
keeps early-return-on-NULL guard; sync + Pearls A+D loop over 4
SLOT_PAIRS.
Behavior: stationary signals converge to the same value at adaptive rate.
The 4 slots remain diagnostic-only (HEALTH_DIAG / risk-monitoring surface).
Tests: `sp4_iqn_quantile_ema_writes_step_obs_via_pearl_a_then_converges_pearl_d`
drives kernel with B=32 Q=5 TBA=12 controlled q surface where
Q[a, b*Q+tau_idx] = (tau_idx+1)*0.7. Asserts each slot ∈ ±1e-5 of
expected, median absent, non-target slots remain 0, Pearl A bootstrap +
Pearl D convergence verified.
Per `feedback_no_atomicadd.md`,
`feedback_no_htod_htoh_only_mapped_pinned.md`. Build: `cargo check -p ml
--lib --tests --offline` clean (11 pre-existing warnings, no new warnings).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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0e9d69787d |
feat(sp4): Task A13.3 — retrofit vsn_mask_ema with Pearls A+D
Replaces the kernel's hardcoded `ema_alpha` with the shared `pearls_ad_update`
host-side helper. 6 ISV slots retrofit (one per VSN feature group).
- Kernel `vsn_mask_ema_update` signature: drops `(isv, isv_first_index,
ema_alpha)` for `(scratch_buf, scratch_first_index=53)`. Per-group mean
writes to `scratch_buf[53..59)`. Single `__threadfence_system()` after
all 6 groups write.
- 6 ISV slots wired with Pearls A+D: ISV[105..111) (Wiener offsets
159..177). Wiener offset for group g: (53+g)*3.
- Wrapper `GpuDqnTrainer::launch_vsn_mask_ema(_ema_alpha_unused)`: sync
+ Pearls A+D loop over the 6 groups.
- `debug_assert_eq!(SL_NUM_FEATURE_GROUPS, 6)` guards against group-count
changes silently breaking the contiguous scratch layout.
Behavior: stationary signals converge to the same value at adaptive rate.
The 6 slots stay semantically identical (per-group mean of VSN softmax
mask); HEALTH_DIAG mirror + VSN focus monitor consume them unchanged.
Tests: `sp4_vsn_mask_ema_writes_step_obs_via_pearl_a_then_converges_pearl_d`
drives kernel with B=128 num_groups=6 mask `mask[b,g]=(g+1)/21` (rows sum
to 1, per-group mean = (g+1)/21). Asserts each slot ∈ ±1e-5, non-target
slots remain 0; verifies Pearl A bootstrap + Pearl D convergence.
Per `feedback_no_atomicadd.md`,
`feedback_no_htod_htoh_only_mapped_pinned.md`. Build: `cargo check -p ml
--lib --tests --offline` clean (11 pre-existing warnings, no new warnings).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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04fcbd27cf |
feat(sp4): Task A13.2 — retrofit moe_expert_util_ema with Pearls A+D
Replaces the kernel's hardcoded `alpha` with the shared `pearls_ad_update`
host-side helper. 9 ISV slots retrofit: 8 per-expert util + 1 gate entropy.
- Kernel `moe_expert_util_ema_update` signature: drops `(isv,
isv_util_base, isv_entropy_index, alpha)` for `(scratch_buf,
scratch_idx_util_base=44, scratch_idx_entropy=52)`.
- Single-block single-thread; computes per-expert col_mean in a single
forward pass (collapses prior dual-pass), writes each to scratch slots
[44..52) and Shannon entropy to slot 52.
- 9 ISV slots wired with Pearls A+D: ISV[118..126) (per-expert util,
Wiener offsets 132..156) + ISV[126] (gate entropy, Wiener offset 156).
- Launcher `gpu_moe_head.rs::launch_expert_util_ema`: drops alpha + isv
args; takes scratch_dev_ptr + 2 scratch_idx args.
- Wrapper `GpuDqnTrainer::launch_moe_expert_util_ema(_ema_alpha_unused)`:
sync + Pearls A+D loop over 9 slots via `apply_pearls(scratch_idx,
isv_idx)` closure.
- `debug_assert_eq!(MOE_NUM_EXPERTS, 8)` guards against K changes
silently breaking the contiguous scratch layout.
Behavior: stationary signals converge to the same value at adaptive rate.
The 9 slots stay semantically identical (per-expert col_mean, gate
entropy); HEALTH_DIAG mirror + the adaptive λ controller
`moe_lambda_eff_update` (which reads ISV[MOE_GATE_ENTROPY_EMA_INDEX])
continue to consume them unchanged.
Tests: `sp4_moe_expert_util_ema_writes_step_obs_via_pearl_a_then_converges_pearl_d`
drives kernel with B=128 K=8 perfect-uniform gate → analytical col_mean=1/8,
entropy=ln(8)≈2.0794. Asserts slot values ∈ ±1e-6/1e-5, non-target slots
remain 0; verifies Pearl A bootstrap + Pearl D convergence.
Per `feedback_no_atomicadd.md`,
`feedback_no_htod_htoh_only_mapped_pinned.md`. Build: `cargo check -p ml
--lib --tests --offline` clean (11 pre-existing warnings, no new warnings).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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74ed2f5008 |
feat(sp4): Task A13.1 — retrofit aux_heads_loss + aux_label_scale with Pearls A+D
Both kernels in `aux_heads_loss_ema_kernel.cu` retrofit in the same commit
per `feedback_no_partial_refactor.md` (single shared cubin, single producer
family).
- Kernel `aux_heads_loss_ema_update`: writes nb_loss/rg_loss scalars to
`producer_step_scratch_buf[41..43)` (slots 41=next-bar, 42=regime).
- Kernel `aux_label_scale_ema_update`: writes mean(|label|) to
`producer_step_scratch_buf[43]`.
- 3 ISV slots wired with Pearls A+D: ISV[113] (Wiener 123..126),
ISV[114] (Wiener 126..129), ISV[117] (Wiener 129..132).
- Launcher `AuxHeadsForwardOps::launch_loss_ema`: drops isv_dev_ptr +
isv_*_index + ema_alpha; takes scratch_dev_ptr + 2 scratch_idx args.
- Launcher `AuxHeadsForwardOps::launch_label_scale_ema`: same retrofit
pattern with a single scratch_idx arg.
- Wrapper `GpuDqnTrainer::launch_aux_heads_loss_ema(_ema_alpha_unused)`:
sync + Pearls A+D loop over both slots.
- `aux_heads_forward` mid-step launch (Step 2b — runs BEFORE
next_bar_loss_reduce + backward consume ISV[117]) gains inline sync +
Pearls A+D update so consumers see the up-to-date scale this step.
Behavior: stationary signals converge to the same value at adaptive rate
(Pearl D's α* derived from per-slot signal-vs-noise variance);
non-stationary signals respond Wiener-optimally faster. Slots stay
semantically identical (next-bar MSE, regime CE, label-scale mean_abs);
only the EMA blending logic changes.
Tests:
- `sp4_aux_heads_loss_ema_writes_step_obs_via_pearl_a_then_converges_pearl_d`:
nb_loss=0.5, rg_loss=1.2 stationary, both slots converge within 1%
after 1000 observations.
- `sp4_aux_label_scale_ema_writes_step_obs_via_pearl_a_then_converges_pearl_d`:
B=256 mixed-sign ±3.0 labels (mean_abs=3.0), step_obs ∈ ±1e-4 of
analytical mean, Pearl A bootstrap + Pearl D convergence verified.
Per `feedback_no_atomicadd.md`,
`feedback_no_htod_htoh_only_mapped_pinned.md`,
`feedback_no_partial_refactor.md`. Build: `cargo check -p ml --lib --tests
--offline` clean (11 pre-existing warnings, no new warnings).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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aada419de3 |
feat(sp4): Task A13.0 — retrofit h_s2_rms_ema with Pearls A+D + buffer growth
Replaces the kernel's hardcoded `ema_alpha` with the shared `pearls_ad_update`
host-side helper (Task A3). Buffer growth in same commit so subsequent A13.x
retrofits land on a stable scratch/Wiener layout.
- Kernel `h_s2_rms_ema_update` signature: `(h_s2, B, SH2, scratch_buf,
scratch_idx)`. Reduces RMS = sqrt(sum_sq/(B*SH2)) via the existing
256-thread shmem tree (no atomicAdd) and writes step_obs to
`producer_step_scratch_buf[40]` with `__threadfence_system()`.
- Launcher `launch_h_s2_rms_ema(_ema_alpha_unused: f32)` syncs the stream,
then applies Pearls A+D host-side via zero-copy mapped-pinned reads/
writes of `isv_signals_pinned[H_S2_RMS_EMA_INDEX=96]` and
`wiener_state_buf[120..123)` (= scratch slot 40 × 3). Degenerate-zero
short-circuit before mutating ISV/Wiener state.
- Buffer growth: `SP4_PRODUCER_COUNT 47 → 69` (40 SP4 + 29 Task A13
retrofit producers); `wiener_state_buf 141 → 207` floats;
`producer_step_scratch_buf` grows to 69 entries.
- Stable-layout doc-comments updated: `producer_step_scratch_buf` field
comment, `launch_sp4_target_q_p99` slot-table comment, 5 launcher
`wiener_offset + 2 < 141` safety comments (now `< 207`),
`reset_sp4_wiener_state` doc + body comment, and
`state_reset_registry.rs::sp4_wiener_state` description.
- Test cubin reference `SP4_PRODUCER_COUNT: usize = 47` in
`tests/sp4_producer_unit_tests.rs` updated to 69 across all 6
occurrences.
Behavior: stationary signals converge to the same RMS at adaptive rate
(Pearl D's α* derived from per-slot signal-vs-noise variance);
non-stationary signals respond Wiener-optimally faster. Cold-path producer
with no consumer-facing change beyond the EMA mechanism — slot 96 is read
by `mag_concat_qdir`'s adaptive-scale path and stays semantically identical
(RMS of `save_h_s2`).
Tests: new `sp4_h_s2_rms_ema_writes_step_rms_via_pearl_a_then_converges_pearl_d`
unit test (`#[ignore]`-gated for GPU) drives the production kernel kernel-
direct on a constant-5.0 stationary signal of B=4 SH2=64, asserts
step_rms ≈ analytical RMS=5.0 ± 1e-4, asserts non-target scratch slots
remain 0, then exercises Pearl A bootstrap (returns step_rms directly +
seeds x_lag) and Pearl D convergence (1000 stationary observations →
x_mean within 1% of 5.0).
Per `feedback_no_atomicadd.md`, `feedback_no_htod_htoh_only_mapped_pinned.md`,
`feedback_no_partial_refactor.md`. Build: `cargo check -p ml --lib --tests
--offline` clean (11 pre-existing warnings, no new warnings); `cargo test
-p ml --lib sp4_wiener_ema --offline` 6/6 passing.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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