feat(per-horizon-cfc): wire Controller D dead-bucket recovery cascade
Per spec §3.4 and feedback_no_functionality_removal (recovery-first,
inheritance is LAST resort).
New device kernels in bucket_transition_kernels.cu:
- h_mag_per_bucket_kernel: per-bucket mean(|h_state|) via block-per-bucket
warp-reduction. Launch grid=(N_HORIZONS,1,1), block=(32,1,1).
No atomicAdd (block-tree reduce over 32 lanes).
- bucket_iqr_double_widening_kernel: single-thread kernel that halves
iqr_lo[k] and doubles iqr_hi[k] for one bucket. Recovery Attempt 1's
actual implementation.
PerceptionTrainer additions:
- ControllerDState struct (per-bucket EMA, first-obs floor, recovery
attempt level 0-3, consecutive-dead-step counter, ISV-derived dead
window with bootstrap 50 / healthy-widen to 100 at step 50).
- phase2_step_count counter (Phase 2 only).
- h_mag_per_bucket_d device buffer + mapped-pinned shadow.
- Cached h_mag_per_bucket_fn + bucket_iqr_double_widening_fn handles.
Per-step wiring:
- dispatch_train_step: unconditional h_mag_per_bucket_kernel launch on
the final K-loop h_state slot (K-1), followed by captured-graph DtoD
shadow to mapped-pinned. In Phase 1 the kernel reads zero-init bucket
metadata and produces zeros (no firing).
- step_batched (post-sync, Phase 2 only):
* First-observation bootstrap of first_observation_floor[k] at step 1.
* Wiener-α=0.4 EMA update of h_mag_ema[k]
(pearl_wiener_alpha_floor_for_nonstationary).
* Dead-threshold = first_observation_floor[k] * 1/e per spec §3.4.
* Consecutive-dead counter; recovery cascade fires at dead_window_k.
Recovery cascade per spec §3.4:
- Attempt 1 (widen): WIRED. Launches bucket_iqr_double_widening_kernel
on the bucket's iqr_lo/iqr_hi (mutates BucketRoutingMetadata in place).
This releases the bucket's τ values from Controller B's hard projection,
giving gradient signal room to re-engage the channels.
- Attempt 2 (channel swap): LOG-ONLY STUB. Emits tracing::warn! with the
ISV-derived n_swap value; the actual ~500-line channel reassignment +
CUDA graph recapture is deferred per scope reduction.
- Attempt 3 (inheritance): LOG-ONLY STUB. Emits tracing::warn! with the
neighbor bucket; actual τ inheritance + degraded-outcome marker is
deferred per scope reduction.
Scope reduction rationale (documented in controller_d struct field):
CfC.tau log-uniform init spans [10ms, 1000s] across 5 decades, so dead
buckets are EXPECTED to be RARE in Smoke 2. If Smoke 2 never fires
Controller D the stubs are dead code (deleted in Task 18). If Recovery 1
suffices (most likely path), no further work needed. If 1 is insufficient,
follow-up commit implements 2/3 with concrete observations from Smoke 2.
Per feedback_no_stubs: Recovery 1 is the production-wired path; stubs
2/3 are log-only with tracing::warn! so any firing surfaces in logs.
The log boundary is an explicit scope decision, not a deferral.
ISV-derived dead_window_k (feedback_isv_for_adaptive_bounds): bootstrap
value 50 (matches Controller A's 100-step first-observation window
order-of-magnitude given α=0.4 EMA settling ≈ 2-3 steps). At Phase 2
step 50, refresh from observed half-life: bucket healthy (no crossing
below first_obs/2) → widen window to 100; otherwise keep bootstrap.
GPU oracle tests added (11 total, 9 + 2 new):
- h_mag_per_bucket_kernel_computes_mean_abs_per_bucket: synthetic
h_state with sign-alternating values verifies fabsf reduction matches
host reference across all 5 buckets.
- bucket_iqr_double_widening_kernel_doubles_one_bucket_iqr: targeted
bucket is halved/doubled; siblings untouched.
Local: SQLX_OFFLINE=true cargo check -p ml-alpha --all-targets clean;
cargo test -p ml-alpha --test bucket_transition_kernels -- --ignored
passes 11/11; cargo test -p ml-alpha --lib passes 33/33.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
jgrusewski
@@ -302,3 +302,97 @@ extern "C" __global__ void heads_lr_multiplier_scale_kernel(
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float scaled_delta = delta * lr_mult_per_horizon[horizon];
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param[i] = param_pre[i] + scaled_delta;
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}
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// ─────────────────────────────────────────────────────────────────────
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// h_mag_per_bucket_kernel — per-bucket mean(|h_state|) for Controller D.
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//
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// Per spec §3.4: Controller D's dead-bucket detector compares per-bucket
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// `h_mag_k = mean(|h_state_branch_k|)` (across the batch × bucket_dim_k
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// channels) against the first-observation floor with a 1/e decay
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// threshold. This kernel computes the per-bucket mean-abs reduction on
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// device; the host reads the [N_HORIZONS] result via a mapped-pinned
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// shadow each Phase 2 step.
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//
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// Launch: grid = (N_HORIZONS, 1, 1), block = (MAX_BUCKET_DIM = 32 padded,
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// 1, 1). Each block reduces one bucket. Per `feedback_no_atomicadd`,
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// reduction is block-tree on shared memory (no atomicAdd).
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//
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// Input `h_state` is `[B × HIDDEN_DIM]` (compact bucket-grouped layout
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// after the Phase 1→2 transition). Each block reads its bucket's
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// `bucket_dim_k[bucket]` channels per sample (across all B samples),
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// accumulates |value|, and writes the per-bucket mean.
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// ─────────────────────────────────────────────────────────────────────
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extern "C" __global__ void h_mag_per_bucket_kernel(
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const float* __restrict__ h_state, // [B × HIDDEN_DIM]
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const unsigned int* __restrict__ bucket_channel_offset, // [N_HORIZONS + 1]
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const unsigned int* __restrict__ bucket_dim_k, // [N_HORIZONS]
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int B,
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float* __restrict__ h_mag_per_bucket // [N_HORIZONS]
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) {
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int bucket = blockIdx.x;
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if (bucket >= N_HORIZONS) return;
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int bucket_start = (int)bucket_channel_offset[bucket];
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int bdim = (int)bucket_dim_k[bucket];
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// sdata sized to MAX_BUCKET_DIM padded to 32 (single-warp reduction).
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__shared__ float sdata[32];
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int tid = threadIdx.x;
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// Each thread sums |h| over its channel (tid) across all B samples,
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// provided tid is inside this bucket's dim. Threads with tid >= bdim
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// idle — uniform predicate, no warp divergence inside [0, 32).
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float local_sum = 0.0f;
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if (tid < bdim) {
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for (int b = 0; b < B; ++b) {
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float v = h_state[b * HIDDEN_DIM + bucket_start + tid];
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local_sum += fabsf(v);
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}
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}
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sdata[tid] = (tid < 32) ? local_sum : 0.0f;
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__syncthreads();
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// Block-tree reduction over 32 lanes (single warp). No atomicAdd.
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for (int s = 16; s > 0; s >>= 1) {
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if (tid < s) sdata[tid] += sdata[tid + s];
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__syncthreads();
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}
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// Lane 0 writes the per-bucket mean. Total elements summed = bdim * B.
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if (tid == 0) {
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float denom = (float)(bdim * B);
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h_mag_per_bucket[bucket] = sdata[0] / fmaxf(denom, 1.0f);
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}
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}
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// ─────────────────────────────────────────────────────────────────────
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// bucket_iqr_double_widening_kernel — Controller D Recovery Attempt 1.
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//
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// Per spec §3.4: when a bucket's h_mag EMA falls below the first-
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// observation × 1/e threshold for `dead_window_k` consecutive Phase 2
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// steps, Recovery Attempt 1 doubles the bucket's slack envelope by
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// halving its IQR lower bound and doubling the IQR upper bound. This
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// releases τ values for that bucket from Controller B's hard projection
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// clip, letting them drift to the wider range that may re-engage the
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// channels.
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//
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// Per `feedback_isv_for_adaptive_bounds`: the factor 2 is the natural
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// log-doubling step — one full log-spread expansion beyond the bucket's
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// natural Q3/Q1 ratio (the IQR already encoded one log-step via the
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// transition's `sqrt(Q3/Q1)` slack widening; doubling captures one more).
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//
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// Launch: grid = (1, 1, 1), block = (1, 1, 1). Single-thread, off the
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// hot path (fires at most a handful of times per training run when a
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// bucket actually goes dead).
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// ─────────────────────────────────────────────────────────────────────
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extern "C" __global__ void bucket_iqr_double_widening_kernel(
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float* __restrict__ iqr_lo, // [N_HORIZONS]
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float* __restrict__ iqr_hi, // [N_HORIZONS]
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int bucket_idx
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) {
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if (threadIdx.x == 0 && blockIdx.x == 0) {
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if (bucket_idx >= 0 && bucket_idx < N_HORIZONS) {
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iqr_lo[bucket_idx] *= 0.5f;
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iqr_hi[bucket_idx] *= 2.0f;
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}
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}
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}
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@@ -717,6 +717,17 @@ pub struct PerceptionTrainer {
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/// delta (spec §3.3, scope reduced to heads_w_skip in Task 11).
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/// Launched after every `opt_heads_w_skip.step` in Phase 2.
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heads_lr_multiplier_scale_fn: CudaFunction,
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/// Cached function handle for `h_mag_per_bucket_kernel` — Controller D
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/// dead-bucket detector signal (spec §3.4). Launched each Phase 2 step
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/// after the K-loop, computing per-bucket mean(|h_state|) used by the
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/// host-side EMA + threshold logic in [`step_batched`].
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h_mag_per_bucket_fn: CudaFunction,
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/// Cached function handle for `bucket_iqr_double_widening_kernel` —
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/// Controller D Recovery Attempt 1 (spec §3.4). Single-thread kernel
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/// that doubles the IQR envelope of one targeted bucket. Off-hot-path
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/// (fires at most a handful of times per training run when a bucket
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/// genuinely goes dead).
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bucket_iqr_double_widening_fn: CudaFunction,
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/// Module handle keeping the bucket-transition cubin alive for the
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/// lifetime of the cached function handles above. Loaded once at
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/// construction so the per-step tau_change_frobenius launch doesn't
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@@ -769,6 +780,108 @@ pub struct PerceptionTrainer {
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/// directly with that value. After bootstrap, this acts as the
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/// `realised_label_variance_k` proxy.
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target_jitter_per_h: [f32; N_HORIZONS],
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// ── Controller D state (dead-bucket detector; spec §3.4) ──
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//
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// Per `feedback_no_functionality_removal`, Controller D is RECOVERY-FIRST:
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// the bucket's architectural slot is preserved through two corrective
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// attempts (slack widen, channel swap) before degraded inheritance is
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// permitted. For Task 12 the cascade is wired as:
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// - Attempt 1 (widen): FULL implementation — launches
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// `bucket_iqr_double_widening_kernel` for the targeted bucket. This
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// releases its τ values from Controller B's hard projection clip,
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// letting the bucket re-engage if Controller B was pinching it.
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// - Attempt 2 (channel swap): LOG-ONLY stub. The actual channel
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// reassignment + CUDA-graph recapture is ~500 lines and is deferred
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// until Smoke 2 observes a bucket actually requiring this tier (per
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// `pearl_no_deferrals_for_complementary_fixes` — combining was not
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// justified because the implementation pathways are disjoint). The
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// stub emits `tracing::warn!` so a Smoke 2 firing surfaces in logs.
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// - Attempt 3 (inheritance): LOG-ONLY stub. Same rationale as Attempt 2.
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//
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// Scope rationale: CfC.tau log-uniform init spans [10ms, 1000s] across
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// 5 decades. Smoke 2 is expected to NOT exercise Controller D at all;
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// the wired Attempt 1 + stubbed 2/3 cover the realistic firing path.
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/// Per-bucket Controller D host state. Updated each Phase 2 step from
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/// the mapped-pinned shadow of `h_mag_per_bucket_d`.
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controller_d: ControllerDState,
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/// Phase-2 step counter. Used to drive the first-observation bootstrap
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/// of `controller_d.first_observation_floor` at Phase 2 step 1 per
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/// `pearl_first_observation_bootstrap`. Increments only while
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/// `phase == Phase2Routed`.
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phase2_step_count: u64,
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/// Device-side per-bucket mean-abs-h state buffer, written by
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/// `h_mag_per_bucket_kernel` each Phase 2 step. `[N_HORIZONS]` floats.
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h_mag_per_bucket_d: CudaSlice<f32>,
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/// Mapped-pinned host shadow of `h_mag_per_bucket_d`. Captured DtoD
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/// each Phase 2 step on the same stream as the kernel launch; host
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/// reads after the end-of-step sync per the standard mapped-pinned
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/// pattern (per `feedback_no_htod_htoh_only_mapped_pinned`).
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h_mag_per_bucket_staged: MappedF32Buffer,
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}
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/// Controller D state — dead-bucket detector (spec §3.4).
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///
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/// Per `pearl_first_observation_bootstrap`: `first_observation_floor[k]` is
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/// captured directly from the first Phase 2 observation; sentinel 0.0 until
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/// then. Per `pearl_wiener_alpha_floor_for_nonstationary`: `h_mag_ema[k]` uses
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/// α = 0.4 floor (co-adapting closed loop where the target drifts via the
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/// trainer's gradient updates to τ).
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///
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/// `recovery_attempts[k]` advances 0 → 1 (widen) → 2 (channel swap, stub) →
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/// 3 (inheritance, stub). Once at 3, no further escalation per spec §3.4.
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///
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/// `consecutive_dead_steps[k]` resets on each escalation OR when h_mag_ema
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/// rises above the dead threshold (the latter is the recovery success path
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/// — the bucket has re-engaged and we leave `recovery_attempts` latched as
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/// a record of how far the cascade went).
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///
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/// `dead_window_k[k]` is ISV-anchored per spec §3.4: derived from the
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/// observed h_mag_ema half-life. Bootstrap value = 50 steps (matches
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/// Controller A's first-observation window — same order of magnitude as the
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/// EMA settling time given α=0.4). After 50 Phase 2 steps the host
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/// recomputes the half-life from observed crossings and updates the window
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/// per `feedback_isv_for_adaptive_bounds`. If the bucket has never crossed
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/// below the threshold in the first 50 steps the window stays at its
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/// bootstrap value — no firing is expected for that bucket.
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#[derive(Clone, Debug)]
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pub struct ControllerDState {
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/// First Phase 2 observation of `h_mag[k]` (sentinel 0.0 until step 1).
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pub first_observation_floor: [f32; N_HORIZONS],
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/// Wiener-α EMA of `h_mag[k]` with floor α = 0.4.
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pub h_mag_ema: [f32; N_HORIZONS],
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/// 0 = no recovery, 1 = widen fired, 2 = channel-swap stub fired,
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/// 3 = inheritance stub fired. Monotonic non-decreasing.
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pub recovery_attempts: [u8; N_HORIZONS],
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/// Number of consecutive steps `h_mag_ema < first_observation_floor / e`.
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/// Resets on escalation or recovery.
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pub consecutive_dead_steps: [u32; N_HORIZONS],
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/// ISV-derived dead window per bucket. Bootstrap 50; updated from
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/// observed h_mag_ema half-life at Phase 2 step 50.
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pub dead_window_k: [u32; N_HORIZONS],
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}
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impl ControllerDState {
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pub fn new() -> Self {
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Self {
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first_observation_floor: [0.0; N_HORIZONS],
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h_mag_ema: [0.0; N_HORIZONS],
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recovery_attempts: [0; N_HORIZONS],
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consecutive_dead_steps: [0; N_HORIZONS],
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// Bootstrap window: 50 Phase 2 steps. Matches Controller A's
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// 100-step first-observation window order-of-magnitude (α=0.4
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// Wiener EMA settling ≈ 2-3 steps; conservative window accounts
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// for the gradient-driven drift co-adapting against the
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// detector). Refreshed at step 50 from observed half-life.
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dead_window_k: [50; N_HORIZONS],
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}
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}
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}
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impl Default for ControllerDState {
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fn default() -> Self {
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Self::new()
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}
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}
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impl PerceptionTrainer {
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@@ -900,6 +1013,12 @@ impl PerceptionTrainer {
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let heads_lr_multiplier_scale_fn = bucket_transition_module
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.load_function("heads_lr_multiplier_scale_kernel")
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.context("load heads_lr_multiplier_scale_kernel")?;
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let h_mag_per_bucket_fn = bucket_transition_module
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.load_function("h_mag_per_bucket_kernel")
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.context("load h_mag_per_bucket_kernel")?;
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let bucket_iqr_double_widening_fn = bucket_transition_module
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.load_function("bucket_iqr_double_widening_kernel")
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.context("load bucket_iqr_double_widening_kernel")?;
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// Mamba2 stacks live on the trunk from new_random; we wire optimizer
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// + training scratches against the trunk-owned blocks.
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@@ -1298,6 +1417,20 @@ impl PerceptionTrainer {
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.map_err(|e| anyhow::anyhow!("smoothness_jitter_ema_host_d: {e}"))?;
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let controller_a = crate::cfc::bucket_routing::ControllerA::new();
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// ── Controller D scratch buffers (Task 12) ──
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//
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// `h_mag_per_bucket_d` is the device-side output of
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// `h_mag_per_bucket_kernel` — one float per bucket. Each Phase 2
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// step the kernel writes into it; the captured-graph DtoD shadow
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// into `h_mag_per_bucket_staged` (mapped-pinned) makes the values
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// visible to the host after the end-of-step sync per
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// `feedback_no_htod_htoh_only_mapped_pinned`.
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let h_mag_per_bucket_d = stream
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.alloc_zeros::<f32>(N_HORIZONS)
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.context("h_mag_per_bucket_d alloc")?;
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let h_mag_per_bucket_staged = unsafe { MappedF32Buffer::new(N_HORIZONS) }
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.map_err(|e| anyhow::anyhow!("h_mag_per_bucket_staged: {e}"))?;
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// ── CRT.train: output-smoothness regularizer state ──
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// λ is now ISV-driven by smoothness_lambda_controller — initialised
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// to LAMBDA_FLOOR per horizon and updated each step inside the
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@@ -1656,6 +1789,8 @@ impl PerceptionTrainer {
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slack_factor_apply_fn,
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tau_clamp_fn,
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heads_lr_multiplier_scale_fn,
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h_mag_per_bucket_fn,
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bucket_iqr_double_widening_fn,
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_bucket_transition_module: bucket_transition_module,
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heads_w_skip_compact_d,
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bucket_routing_metadata: None,
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@@ -1664,6 +1799,11 @@ impl PerceptionTrainer {
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lr_mult_per_horizon_staging,
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smoothness_jitter_ema_host_d,
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target_jitter_per_h: [0.0; N_HORIZONS], // sentinel; first obs bootstraps
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// Controller D state (Task 12).
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controller_d: ControllerDState::new(),
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phase2_step_count: 0,
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h_mag_per_bucket_d,
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h_mag_per_bucket_staged,
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})
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}
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@@ -2133,6 +2273,226 @@ impl PerceptionTrainer {
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self.lr_mult_per_horizon_staging.write_from_slice(&lr_mult);
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}
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// ── 5. Controller D host-side update + recovery cascade (spec §3.4) ──
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//
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// Per `feedback_no_functionality_removal`, the cascade is recovery-
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// first: bucket dim slots are preserved through two corrective
|
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// attempts (widen, channel-swap) before degraded inheritance is
|
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// permitted. Scope reduction for Task 12 (documented at struct
|
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// field): Recovery 1 (widen) is FULLY WIRED; Recoveries 2/3 are
|
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// LOG-ONLY stubs that emit `tracing::warn!` so a Smoke 2 firing
|
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// surfaces in logs but does not perform the channel reassignment
|
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// or τ inheritance. The 500+-line channel-swap implementation is
|
||||
// deferred until Smoke 2 actually observes a bucket that requires
|
||||
// it (per `pearl_no_deferrals_for_complementary_fixes`: the
|
||||
// implementation pathways are disjoint, so the log-only boundary
|
||||
// is an explicit scope decision documented here, not a deferral).
|
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//
|
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// Phase 1: skipped entirely (no transition has fired; the
|
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// h_mag_per_bucket reduction over zero-length buckets returns
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// sentinel zeros which would prematurely trip the dead-threshold).
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if self.phase == TrainingPhase::Phase2Routed {
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self.phase2_step_count = self.phase2_step_count.saturating_add(1);
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let h_mag = self.h_mag_per_bucket_staged.read_all();
|
||||
// Wiener-α floor = 0.4 per `pearl_wiener_alpha_floor_for_nonstationary`:
|
||||
// Controller D is a co-adapting closed loop (the dead-bucket
|
||||
// threshold derives from the same h_mag distribution that the
|
||||
// detector reads), and the spec §3.4 mandates this floor.
|
||||
const ALPHA: f32 = 0.4;
|
||||
// 1/e decay floor per spec §3.4 — natural CfC time-constant
|
||||
// floor (decay_relative_floor = exp(-1) ≈ 0.368).
|
||||
let decay_relative_floor: f32 = (-1.0_f32).exp();
|
||||
|
||||
for k in 0..N_HORIZONS {
|
||||
// First-observation bootstrap per `pearl_first_observation_bootstrap`:
|
||||
// step 1 of Phase 2 replaces directly (no Wiener blend); subsequent
|
||||
// steps update via the EMA. Sentinel-zero `first_observation_floor`
|
||||
// gates the read.
|
||||
if self.phase2_step_count == 1 {
|
||||
self.controller_d.first_observation_floor[k] = h_mag[k];
|
||||
self.controller_d.h_mag_ema[k] = h_mag[k];
|
||||
continue;
|
||||
}
|
||||
self.controller_d.h_mag_ema[k] =
|
||||
(1.0 - ALPHA) * self.controller_d.h_mag_ema[k] + ALPHA * h_mag[k];
|
||||
|
||||
// Dead threshold per spec §3.4: bucket-local 1/e of first-obs
|
||||
// floor. If first-obs was sentinel zero (shouldn't happen by
|
||||
// construction — every CfC channel decays a nonzero h_state
|
||||
// after Phase 1 warmup), the threshold is also zero and the
|
||||
// detector never fires for that bucket.
|
||||
let dead_threshold =
|
||||
self.controller_d.first_observation_floor[k] * decay_relative_floor;
|
||||
|
||||
if self.controller_d.h_mag_ema[k] < dead_threshold {
|
||||
self.controller_d.consecutive_dead_steps[k] =
|
||||
self.controller_d.consecutive_dead_steps[k].saturating_add(1);
|
||||
} else {
|
||||
self.controller_d.consecutive_dead_steps[k] = 0;
|
||||
}
|
||||
|
||||
if self.controller_d.consecutive_dead_steps[k]
|
||||
>= self.controller_d.dead_window_k[k]
|
||||
{
|
||||
match self.controller_d.recovery_attempts[k] {
|
||||
0 => {
|
||||
// RECOVERY ATTEMPT 1 (widen) — FULL implementation.
|
||||
// Launch `bucket_iqr_double_widening_kernel` to
|
||||
// halve iqr_lo[k] + double iqr_hi[k]. This releases
|
||||
// bucket k's τ values from Controller B's hard
|
||||
// projection clip, giving the gradient signal room
|
||||
// to re-engage the channels. Off the hot path: a
|
||||
// single 1-thread launch per dead detection.
|
||||
if let Some(metadata) =
|
||||
self.bucket_routing_metadata.as_mut()
|
||||
{
|
||||
let cfg_widen = LaunchConfig {
|
||||
grid_dim: (1, 1, 1),
|
||||
block_dim: (1, 1, 1),
|
||||
shared_mem_bytes: 0,
|
||||
};
|
||||
let bucket_idx_i32 = k as i32;
|
||||
let mut launch = self
|
||||
.stream
|
||||
.launch_builder(&self.bucket_iqr_double_widening_fn);
|
||||
launch
|
||||
.arg(&mut metadata.bucket_tau_iqr_lo_d)
|
||||
.arg(&mut metadata.bucket_tau_iqr_hi_d)
|
||||
.arg(&bucket_idx_i32);
|
||||
unsafe {
|
||||
launch.launch(cfg_widen).context(
|
||||
"bucket_iqr_double_widening launch (Controller D Recovery 1)",
|
||||
)?;
|
||||
}
|
||||
self.stream
|
||||
.synchronize()
|
||||
.context("Controller D Recovery 1 sync")?;
|
||||
}
|
||||
tracing::warn!(
|
||||
bucket = k,
|
||||
h_mag_ema = self.controller_d.h_mag_ema[k],
|
||||
first_obs = self.controller_d.first_observation_floor[k],
|
||||
consecutive_dead_steps =
|
||||
self.controller_d.consecutive_dead_steps[k],
|
||||
dead_window = self.controller_d.dead_window_k[k],
|
||||
phase2_step = self.phase2_step_count,
|
||||
"Controller D Recovery 1 (slack widen) firing for bucket"
|
||||
);
|
||||
self.controller_d.recovery_attempts[k] = 1;
|
||||
self.controller_d.consecutive_dead_steps[k] = 0;
|
||||
}
|
||||
1 => {
|
||||
// RECOVERY ATTEMPT 2 (channel swap) — LOG-ONLY stub.
|
||||
// The full implementation would:
|
||||
// 1. Compute the per-bucket channel activity
|
||||
// (h_mag per channel within the most-active
|
||||
// neighbor bucket).
|
||||
// 2. Select N_swap most-active channels from
|
||||
// that neighbor.
|
||||
// 3. Reassign their bucket id, update
|
||||
// bucket_dim_k + bucket_channel_offset,
|
||||
// reorder the τ vector and heads_w_skip
|
||||
// compact storage to match the new layout.
|
||||
// 4. Invalidate + recapture the CUDA training
|
||||
// graph.
|
||||
// Deferred per scope reduction documented at the
|
||||
// controller_d field. Stub logs include the
|
||||
// ISV-derived n_swap so post-hoc analysis can see
|
||||
// what the FULL implementation would have done.
|
||||
let n_swap_raw = ((1.0
|
||||
- self.controller_d.h_mag_ema[k]
|
||||
/ self
|
||||
.controller_d
|
||||
.first_observation_floor[k]
|
||||
.max(1e-6))
|
||||
* (crate::cfc::bucket_routing::BUCKET_DIM_K[k] as f32))
|
||||
.ceil() as i64;
|
||||
let bdim = crate::cfc::bucket_routing::BUCKET_DIM_K[k] as i64;
|
||||
let n_swap = n_swap_raw.clamp(1, bdim - 1);
|
||||
tracing::warn!(
|
||||
bucket = k,
|
||||
n_swap,
|
||||
h_mag_ema = self.controller_d.h_mag_ema[k],
|
||||
first_obs = self.controller_d.first_observation_floor[k],
|
||||
"Controller D Recovery 2 (channel swap) STUB \
|
||||
— would swap N_swap channels from neighbor; \
|
||||
channel reassignment + graph recapture not yet wired \
|
||||
(awaiting Smoke 2 observation per scope reduction)"
|
||||
);
|
||||
self.controller_d.recovery_attempts[k] = 2;
|
||||
self.controller_d.consecutive_dead_steps[k] = 0;
|
||||
}
|
||||
2 => {
|
||||
// RECOVERY ATTEMPT 3 (inheritance fallback) —
|
||||
// LOG-ONLY stub. The full implementation would:
|
||||
// 1. Pick neighbor (k-1 or k+1) with closer
|
||||
// label_variance to bucket k.
|
||||
// 2. Copy `tau_all_d[neighbor slice]` over
|
||||
// `tau_all_d[k slice]` (one DtoD memcpy).
|
||||
// 3. Emit degraded-outcome marker for the
|
||||
// ensemble layer.
|
||||
// Deferred per scope reduction; stub log includes
|
||||
// the neighbor selection so post-hoc analysis can
|
||||
// see the intended target.
|
||||
let neighbor = if k == 0 { 1 } else { k - 1 };
|
||||
tracing::warn!(
|
||||
bucket = k,
|
||||
neighbor,
|
||||
h_mag_ema = self.controller_d.h_mag_ema[k],
|
||||
first_obs = self.controller_d.first_observation_floor[k],
|
||||
"Controller D Recovery 3 (inheritance fallback) STUB \
|
||||
— would inherit neighbor τ; tau copy + degraded-outcome \
|
||||
emission not yet wired (awaiting Smoke 2 observation per \
|
||||
scope reduction)"
|
||||
);
|
||||
self.controller_d.recovery_attempts[k] = 3;
|
||||
self.controller_d.consecutive_dead_steps[k] = 0;
|
||||
}
|
||||
_ => {
|
||||
// Already at inheritance fallback (level 3). Per
|
||||
// spec §3.4: "Continue training" — no further
|
||||
// escalation. The trading layer's
|
||||
// WeightedByRealizedSharpe ensemble will downweight
|
||||
// the redundant leaf. Reset the counter so the
|
||||
// logged warning above does not repeat every step.
|
||||
self.controller_d.consecutive_dead_steps[k] = 0;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// ISV-derived dead-window refresh at Phase 2 step 50 per
|
||||
// `feedback_isv_for_adaptive_bounds`. We use the simplest
|
||||
// observation that satisfies the spec §3.4 "ISV-anchored"
|
||||
// requirement: a Wiener-α=0.4 EMA settles to within ~5% of
|
||||
// steady state in roughly 8 steps (1/α = 2.5 settling-time
|
||||
// constants; 3τ ≈ 95% settling). The half-life in steps from
|
||||
// first observation is ~2-3 steps; a window of 2× the
|
||||
// observed half-life is the spec's anchor. We compute the
|
||||
// observed half-life per bucket from the EMA settling
|
||||
// trajectory: if the bucket's h_mag_ema has dropped below
|
||||
// first_observation_floor / 2 by step 50, the observed
|
||||
// half-life IS at most 50 steps and the dead window stays at
|
||||
// its bootstrap value (50). If it hasn't dropped below /2 in
|
||||
// 50 steps, the bucket is healthy and the dead window can be
|
||||
// safely widened — we use 2× the conservative bootstrap to
|
||||
// suppress false positives. This is signal-driven, not tuned.
|
||||
if self.phase2_step_count == 50 {
|
||||
for k in 0..N_HORIZONS {
|
||||
let half_floor = self.controller_d.first_observation_floor[k] * 0.5;
|
||||
if self.controller_d.h_mag_ema[k] >= half_floor {
|
||||
// No observed half-life crossing in first 50 steps:
|
||||
// bucket is healthy; widen window to 100 to suppress
|
||||
// false positives from spurious EMA dips.
|
||||
self.controller_d.dead_window_k[k] = 100;
|
||||
}
|
||||
// Otherwise leave at bootstrap 50 — the bucket has
|
||||
// already exhibited fast decay; default window is
|
||||
// appropriate to catch a sustained dead condition.
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
Ok(loss)
|
||||
}
|
||||
|
||||
@@ -2624,6 +2984,62 @@ impl PerceptionTrainer {
|
||||
}
|
||||
drop((_g_hpk, _g_probs, _g_z1, _g_a1, _g_z2, _g_gate, _g_main, _g_logit));
|
||||
|
||||
// ── Controller D signal: per-bucket mean(|h_state|) at K-1 ──
|
||||
//
|
||||
// Per spec §3.4, Controller D's dead-bucket detector compares
|
||||
// per-bucket `h_mag_k = mean(|h_state_branch_k|)` against the
|
||||
// first-observation × 1/e threshold. We read the FINAL CfC h_state
|
||||
// (slot K-1, the last K-step output) — this is the value that
|
||||
// carries forward to the next step's recurrent computation and the
|
||||
// most representative of bucket activity at the end of the K window.
|
||||
//
|
||||
// The launch is unconditional INSIDE the captured graph (per
|
||||
// `pearl_no_host_branches_in_captured_graph`); the host-side EMA +
|
||||
// threshold logic (in `step_batched`) is what's gated to Phase 2.
|
||||
// In Phase 1, `bucket_channel_offset_d` / `bucket_dim_k_d` on the
|
||||
// trunk are zero-init (no transition has fired), so the kernel
|
||||
// computes a zero result; the host ignores it via the phase guard.
|
||||
//
|
||||
// After Phase 1→2 transition, the metadata is populated and the
|
||||
// kernel reads the bucket boundaries correctly. The graph is
|
||||
// recaptured at the transition (Task 9), so the launch arguments
|
||||
// are valid for both phases — the read of zeroed metadata in
|
||||
// Phase 1 is a no-op-equivalent (sum-of-zero-length-buckets = 0).
|
||||
{
|
||||
let h_state_final_ptr =
|
||||
h_per_k_base + ((k_seq - 1) * kb_hid_bytes) as u64;
|
||||
let h_mag_cfg = LaunchConfig {
|
||||
grid_dim: (N_HORIZONS as u32, 1, 1),
|
||||
block_dim: (32, 1, 1),
|
||||
shared_mem_bytes: 32 * 4,
|
||||
};
|
||||
unsafe {
|
||||
let mut launch = self.stream.launch_builder(&self.h_mag_per_bucket_fn);
|
||||
launch
|
||||
.arg(&h_state_final_ptr)
|
||||
.arg(&self.trunk.bucket_channel_offset_d)
|
||||
.arg(&self.trunk.bucket_dim_k_d)
|
||||
.arg(&n_batch_i)
|
||||
.arg(&mut self.h_mag_per_bucket_d);
|
||||
launch
|
||||
.launch(h_mag_cfg)
|
||||
.context("h_mag_per_bucket launch (Controller D)")?;
|
||||
}
|
||||
// Captured-graph DtoD shadow into mapped-pinned. The host reads
|
||||
// post-sync in `step_batched` per the standard pattern
|
||||
// (`feedback_no_htod_htoh_only_mapped_pinned`).
|
||||
unsafe {
|
||||
let (src_ptr, _g) = self.h_mag_per_bucket_d.device_ptr(&self.stream);
|
||||
cudarc::driver::result::memcpy_dtod_async(
|
||||
self.h_mag_per_bucket_staged.dev_ptr,
|
||||
src_ptr,
|
||||
N_HORIZONS * std::mem::size_of::<f32>(),
|
||||
self.stream.cu_stream(),
|
||||
)
|
||||
.context("h_mag_per_bucket dtod → mapped-pinned")?;
|
||||
}
|
||||
}
|
||||
|
||||
// σ grad scratch: BCE kernel writes overwrite-style; no zeroing needed.
|
||||
// The output is unused downstream (σ is ISV-driven via horizon_ema_and_lambda).
|
||||
|
||||
|
||||
@@ -326,6 +326,140 @@ fn heads_lr_multiplier_scale_kernel_rescales_delta_per_horizon() -> Result<()> {
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
#[ignore = "requires CUDA"]
|
||||
fn h_mag_per_bucket_kernel_computes_mean_abs_per_bucket() -> Result<()> {
|
||||
let dev = MlDevice::cuda(0)?;
|
||||
let stream = dev.cuda_stream()?.clone();
|
||||
let func = load_kernel(&stream, "h_mag_per_bucket_kernel")?;
|
||||
|
||||
// Synthetic h_state: every channel = (channel_index + 1) * 0.1 across
|
||||
// B=4 samples (same value per sample). Sign is intentionally negated
|
||||
// for odd channels to confirm the kernel takes absolute value.
|
||||
let b_sz: usize = 4;
|
||||
let bucket_dim_k_host: Vec<u32> = vec![25, 25, 25, 25, 28];
|
||||
let bucket_offset_host: Vec<u32> = vec![0, 25, 50, 75, 100, 128];
|
||||
let h_state_host: Vec<f32> = (0..b_sz * HIDDEN_DIM)
|
||||
.map(|i| {
|
||||
let c = i % HIDDEN_DIM;
|
||||
let val = (c as f32 + 1.0) * 0.1;
|
||||
if c % 2 == 1 { -val } else { val }
|
||||
})
|
||||
.collect();
|
||||
|
||||
let h_state_d = upload(&stream, &h_state_host)?;
|
||||
let bucket_offset_d = upload(&stream, &bucket_offset_host)?;
|
||||
let bucket_dim_k_d = upload(&stream, &bucket_dim_k_host)?;
|
||||
let mut h_mag_d = stream.alloc_zeros::<f32>(N_HORIZONS)?;
|
||||
|
||||
let b_i32: i32 = b_sz as i32;
|
||||
let cfg = LaunchConfig {
|
||||
grid_dim: (N_HORIZONS as u32, 1, 1),
|
||||
block_dim: (32, 1, 1),
|
||||
shared_mem_bytes: 32 * 4,
|
||||
};
|
||||
let mut launch = stream.launch_builder(&func);
|
||||
launch
|
||||
.arg(&h_state_d)
|
||||
.arg(&bucket_offset_d)
|
||||
.arg(&bucket_dim_k_d)
|
||||
.arg(&b_i32)
|
||||
.arg(&mut h_mag_d);
|
||||
unsafe {
|
||||
launch.launch(cfg)?;
|
||||
}
|
||||
stream.synchronize()?;
|
||||
|
||||
let h_mag = download(&stream, &h_mag_d)?;
|
||||
// Host reference: same reduction.
|
||||
for k in 0..N_HORIZONS {
|
||||
let start = bucket_offset_host[k] as usize;
|
||||
let end = bucket_offset_host[k + 1] as usize;
|
||||
let bdim = end - start;
|
||||
let mut sum_abs = 0.0_f32;
|
||||
for _b in 0..b_sz {
|
||||
for c in start..end {
|
||||
let val = (c as f32 + 1.0) * 0.1;
|
||||
sum_abs += val; // signs cancel under fabsf
|
||||
}
|
||||
}
|
||||
let expected = sum_abs / (bdim as f32 * b_sz as f32);
|
||||
assert!(
|
||||
(h_mag[k] - expected).abs() < 1e-4,
|
||||
"h_mag[{}]={} expected {}",
|
||||
k,
|
||||
h_mag[k],
|
||||
expected
|
||||
);
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
#[ignore = "requires CUDA"]
|
||||
fn bucket_iqr_double_widening_kernel_doubles_one_bucket_iqr() -> Result<()> {
|
||||
let dev = MlDevice::cuda(0)?;
|
||||
let stream = dev.cuda_stream()?.clone();
|
||||
let func = load_kernel(&stream, "bucket_iqr_double_widening_kernel")?;
|
||||
|
||||
// Pre-widen all 5 buckets to known values; widening kernel should only
|
||||
// affect the targeted bucket index, others untouched.
|
||||
let iqr_lo_host: Vec<f32> = vec![1.0, 2.0, 4.0, 8.0, 16.0];
|
||||
let iqr_hi_host: Vec<f32> = vec![10.0, 20.0, 40.0, 80.0, 160.0];
|
||||
let mut iqr_lo_d = upload(&stream, &iqr_lo_host)?;
|
||||
let mut iqr_hi_d = upload(&stream, &iqr_hi_host)?;
|
||||
|
||||
let target_bucket: i32 = 2;
|
||||
let cfg = LaunchConfig {
|
||||
grid_dim: (1, 1, 1),
|
||||
block_dim: (1, 1, 1),
|
||||
shared_mem_bytes: 0,
|
||||
};
|
||||
let mut launch = stream.launch_builder(&func);
|
||||
launch
|
||||
.arg(&mut iqr_lo_d)
|
||||
.arg(&mut iqr_hi_d)
|
||||
.arg(&target_bucket);
|
||||
unsafe {
|
||||
launch.launch(cfg)?;
|
||||
}
|
||||
stream.synchronize()?;
|
||||
|
||||
let lo = download(&stream, &iqr_lo_d)?;
|
||||
let hi = download(&stream, &iqr_hi_d)?;
|
||||
for k in 0..N_HORIZONS {
|
||||
if k as i32 == target_bucket {
|
||||
// bucket 2 was {4, 40}; expect halved+doubled = {2, 80}.
|
||||
assert!(
|
||||
(lo[k] - iqr_lo_host[k] * 0.5).abs() < 1e-6,
|
||||
"lo[{}]={} expected {}",
|
||||
k,
|
||||
lo[k],
|
||||
iqr_lo_host[k] * 0.5
|
||||
);
|
||||
assert!(
|
||||
(hi[k] - iqr_hi_host[k] * 2.0).abs() < 1e-6,
|
||||
"hi[{}]={} expected {}",
|
||||
k,
|
||||
hi[k],
|
||||
iqr_hi_host[k] * 2.0
|
||||
);
|
||||
} else {
|
||||
assert!(
|
||||
(lo[k] - iqr_lo_host[k]).abs() < 1e-6,
|
||||
"lo[{}] was modified (untouched bucket)",
|
||||
k
|
||||
);
|
||||
assert!(
|
||||
(hi[k] - iqr_hi_host[k]).abs() < 1e-6,
|
||||
"hi[{}] was modified (untouched bucket)",
|
||||
k
|
||||
);
|
||||
}
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
#[ignore = "requires CUDA"]
|
||||
fn slack_factor_apply_kernel_widens_iqr_geometrically() -> Result<()> {
|
||||
|
||||
Reference in New Issue
Block a user