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hpc: randomized_signature_sweep — Cuchiero randomized-signature recurrence on F64x8 - #294

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hpc: randomized_signature_sweep — Cuchiero randomized-signature recurrence on F64x8#294
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Summary

Adds src/hpc/randomized_signature.rs — the SIMD form of the Cuchiero-Schmocker-Teichmann randomized-signature recurrence, closing TD-NDARRAY-SIMD-RANDOMIZED-PROJECTION (W1.5 item #7 of .claude/knowledge/vertical-simd-consumer-contract.md). Sibling to signature_pde (#293); same shape of work, same consumer.

Public surface:

pub const INCREMENT_EPSILON: f64;                       // 1e-15, contract constant

pub fn randomized_signature_sweep(
    path: &[Vec<f64>], matrices: &[f64], biases: &[f64], state_dim: usize,
) -> Vec<f64>;                                          // tanh — sigker's exact map

pub fn randomized_signature_sweep_with<F: Fn(f64) -> f64>(
    path: &[Vec<f64>], matrices: &[f64], biases: &[f64], state_dim: usize, activation: F,
) -> Vec<f64>;                                          // closure-parameterized sigma

pub fn randomized_signature_step<F: Fn(f64) -> f64>(
    z: &[f64], delta_x: &[f64], matrices: &[f64], biases: &[f64], activation: F,
) -> Vec<f64>;                                          // one increment update

matrices / biases use exactly the layout sigker::randomized::RandomizedSignatureBuilder materializes (A_i[row][col] == matrices[i*k*k + row*k + col], biases concatenated), so the consumer's encode becomes a one-line delegation:

randomized_signature_sweep(path, &self.matrices, &self.biases, self.state_dim)

Wiring sigker to actually call this is out of scope (follow-up, exactly as #293's wiring was).

Why — and where the doc sketch was wrong

Consumer site: lance-graph:crates/sigker/src/randomized.rs (RandomizedSignatureBuilder::encode, the z_{t+1} = z_t + Σ_i tanh(A_i·z_t + b_i)·Δx_t^(i) loop). Read in full before designing anything — and the tech-debt entry's Required API surface sketch turned out stale in three ways:

Sketch said Real consumer
impl F32x16 { fn random_proj_step(state, seed, depth) -> Self } state is f64 / Vec<f64>, so the type is F64x8, not F32x16
Gaussian entries re-derived from (seed, depth) per step projections are materialized once per encoder instance (seeded SplitMix64 + Box-Muller) and reused across every path and step — the primitive must consume the buffers
a single-register lane update k is a runtime value (32…4096 in the consumer's tests + stated envelope) → the hot path is a k×k GEMV plus an axpy per path dimension, O(T·d·k²)

Same class of correction as #293, where the same doc had sketched f32/F32x16 while sigker was f64/Vec<Vec<f64>>. The shipped API matches the real algorithm; the deviation is documented at the top of the module so the next reader does not re-derive it.

Backends

Built entirely on F64x8's already-parity-confirmed public methods — splat, from_slice, mul_add, reduce_sum, copy_to_slice. Verified by grep that all five exist in every backend file (simd_avx512.rs, simd_avx2.rs, simd_neon.rs, simd_wasm.rs, simd_scalar.rs), so all-backend dispatch comes for free: zero new arch-specific code, zero unsafe, no new is_*_feature_detected!.

The activation stays a scalar Fn(f64) -> f64 closure (the contract's closure-parameterized batch shape): it is O(k) against the GEMV's O(k²), and keeping it scalar means bit-identical f64::tanh rather than an approximated vector transcendental.

Numerics: not bit-identical to a naive scalar loop by construction — the GEMV row is eight partial sums reduced at the end, and products are fused. ULP-level only; reduce_sum's reduction order also differs per backend, so the cross-backend contract is the 1e-9 relative tolerance (matching signature_pde's predeclared tolerance), not bit-equality. Measured max relative error vs. the scalar oracle: 1e-14.

Edge semantics (documented in the module): empty/single-point path → zero state; |dx_i| < 1e-15 skips that coordinate's whole GEMV (a behavioural mirror of the consumer, not an optimization invented here) so a constant path returns exactly zeros; wrong matrices/biases lengths, state_dim == 0, and zero-dimensional path points all panic — lengths are checked, never inferred.

Measured speedup

cargo run --release --example randomized_signature_bench, T=64, d=8, vs. a row-major scalar transcription of sigker's loop:

T=64   d=8  k=32    scalar=   0.0009s  simd=   0.0005s  speedup=  2.00x  max_rel_err= 1.044e-14
T=64   d=8  k=64    scalar=   0.0031s  simd=   0.0012s  speedup=  2.68x  max_rel_err= 1.410e-14
T=64   d=8  k=128   scalar=   0.0118s  simd=   0.0031s  speedup=  3.81x  max_rel_err= 3.636e-14
T=64   d=8  k=256   scalar=   0.0462s  simd=   0.0122s  speedup=  3.78x  max_rel_err= 2.853e-14
T=64   d=8  k=512   scalar=   0.1793s  simd=   0.0473s  speedup=  3.79x  max_rel_err= 3.242e-14

sigker envelope shape: T=64 d=8 k=4096 -> simd = 7.9257s (2.2 GFLOP/s), |z|_inf = 22.6764

The k=4096 row is the envelope sigker's own module doc names ("64 · 8 · 4096² ≈ 8.6 GFLOPS per path"); it is memory-bound at 512 MB of projection matrices, and its scalar baseline is omitted because it runs for minutes. No anti-speedup anywhere.

Test plan

  • cargo test --release --lib hpc::randomized_signature11 passed. Parity against an independent scalar oracle (transcribed from sigker's loop, deliberately not shared code, and no sigker dependency — ndarray must not depend on lance-graph) across: state widths 1, 7, 8, 9, 16, 33, 64 (straddling the lane boundary both ways), path dims 1, 2, 5, 9, a 60-case fixed-seed randomized corpus over (seed, T, d, k) with fresh Gaussian projections each, and a long-path/wide-state case (T=37, k=67, no dimension a multiple of 8).
  • Edge cases: single-point path and empty path (zero state); constant path (every increment skipped); a paired sub-epsilon-skipped / supra-epsilon-applied test so the 1e-15 guard is falsifiable in both directions (the constant-path test alone would pass for a primitive with no guard at all); a custom-activation test with a closed-form identity-σ answer proving the closure is genuinely applied and that tanh differs on the same inputs; two shape-mismatch panic tests.
  • cargo test --release --doc randomized_signature3 passed (one runnable example per public fn).
  • cargo test --release --lib (whole crate) — 2269 passed, 0 failed; no regressions.
  • cargo fmt -- --check — clean, whole repo.
  • cargo clippy --release --lib --tests --example randomized_signature_bench -- -D warnings — clean. (One needs_range_loop in the bench's scalar transcription was fixed rather than allowed.)
  • cargo test --package ndarray --no-default-features --no-run — succeeds. The new example carries a [[example]] required-features = ["std"] block in Cargo.toml (same pattern as signature_pde_bench / entropy_ladder_probe), because hpc is #[cfg(feature = "std")] — this is the exact CI job that broke on hpc: signature_pde_sweep — general-dimension Goursat-PDE signature kernel on the SIMD wavefront #293 before that gate was added.
  • cargo run --release --example randomized_signature_bench — numbers above are real output, not estimates.

Files

  • src/hpc/randomized_signature.rs (new) — the primitive + 11 tests.
  • src/hpc/mod.rspub mod randomized_signature;.
  • examples/randomized_signature_bench.rs (new) — speedup bench.
  • Cargo.toml[[example]] block with required-features = ["std"].

🤖 Generated with Claude Code

https://claude.ai/code/session_01KCGhDYoQBXs3poaR7sFuqp


Generated by Claude Code

Summary by CodeRabbit

  • New Features

    • Added randomized fixed-width path signature computation for faster processing of sequential data.
    • Added support for custom activation functions, including a convenient hyperbolic tangent option.
    • Added single-step and full-path processing APIs with input validation and handling for negligible changes.
    • Exposed the new functionality through the high-performance computing module.
  • Performance

    • Added benchmarking coverage to compare randomized signature calculations across multiple state widths and validate numerical accuracy.

…rence on F64x8

Closes TD-NDARRAY-SIMD-RANDOMIZED-PROJECTION (W1.5 item #7 of
.claude/knowledge/vertical-simd-consumer-contract.md). The consumer is
lance-graph crates/sigker/src/randomized.rs, whose
RandomizedSignatureBuilder::encode evolves a state z in R^k over a path's
increments by z_{t+1} = z_t + sum_i tanh(A_i . z_t + b_i) * dx_t^(i), with
A_i in R^{k x k} and b_i in R^k drawn once per encoder instance from
N(0, 1/k) (seeded SplitMix64 + Box-Muller). The hot path is therefore a
k x k GEMV plus an axpy per path dimension per increment — O(T*d*k^2).

The tech-debt sketch was stale in three ways, all corrected here after
reading the real source: the carrier is f64/Vec<f64>, not f32/F32x16 (so
the vector type is F64x8); the Gaussian projections are materialized once
and reused, so a step primitive must consume those buffers rather than
re-derive them from (seed, depth); and k is a runtime value (32..4096 in
the consumer's own tests and stated envelope), not a lane count. Same
class of correction as signature_pde in #293, which the same doc had
sketched as f32 while sigker was f64.

The new module builds only on F64x8's already-parity-confirmed public
methods (splat / from_slice / mul_add / reduce_sum / copy_to_slice), all
five of which exist in every backend file (avx512, avx2, neon, wasm,
scalar) — so all-backend dispatch comes for free with zero new
arch-specific code and no unsafe. The activation stays a Fn(f64) -> f64
closure (contract's closure-parameterized batch shape): it is O(k)
against the GEMV's O(k^2), and keeping it scalar means bit-identical
tanh instead of an approximated vector transcendental.

Measured (cargo run --release --example randomized_signature_bench,
T=64 d=8): k=32 2.00x, k=64 2.68x, k=128 3.81x, k=256 3.78x, k=512 3.79x
over the row-major scalar transcription, max relative error 1e-14. The
sigker envelope shape (T=64 d=8 k=4096) runs in 7.93s / 2.2 GFLOP/s
(memory-bound at 512 MB of projection matrices), scalar baseline omitted
because it is minutes.

Tests: 11 lib tests + 3 doctests. Parity against an independent scalar
oracle (transcribed from sigker's loop, not shared code, no sigker dep)
across state widths 1/7/8/9/16/33/64, path dims 1/2/5/9, a 60-case
fixed-seed randomized corpus, and a long-path/wide-state case (T=37,
k=67). Edge cases: single-point and empty path (zero state), constant
path (every increment skipped), and a paired sub-epsilon-skipped /
supra-epsilon-applied test so the 1e-15 guard is falsifiable in both
directions, plus a custom-activation test proving the closure is used
and two shape-mismatch panics.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01KCGhDYoQBXs3poaR7sFuqp
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📝 Walkthrough

Walkthrough

Adds a public SIMD randomized-signature module with single-step and full-path APIs, configurable activation, validation, parity tests, and a benchmark example comparing scalar and SIMD implementations.

Changes

Randomized Signature

Layer / File(s) Summary
SIMD recurrence core
src/hpc/mod.rs, src/hpc/randomized_signature.rs
Adds the public module, SIMD GEMV and AXPY helpers, flattened matrix handling, increment filtering, and input validation.
Signature APIs and validation
src/hpc/randomized_signature.rs
Adds single-step, configurable sweep, and tanh sweep APIs. Tests cover parity, edge cases, custom activations, API equivalence, and invalid buffers.
Benchmark integration
Cargo.toml, examples/randomized_signature_bench.rs
Adds the benchmark target, deterministic data generation, scalar comparison, relative-error checks, speedup reporting, and a large SIMD performance run.

Estimated code review effort: 4 (Complex) | ~45 minutes

Merge Risk: 🟡 Moderate · up to ef22b

Ragged path inputs can produce truncated signatures or runtime panics in release builds. Validate every path point before processing so callers receive deterministic input validation.

Sequence Diagram(s)

sequenceDiagram
  participant Caller
  participant randomized_signature_sweep
  participant increment_update
  participant SIMD_GEMV
  participant activation
  participant SIMD_AXPY
  Caller->>randomized_signature_sweep: provide path and projection data
  randomized_signature_sweep->>increment_update: process each path increment
  increment_update->>SIMD_GEMV: compute projected state
  SIMD_GEMV-->>increment_update: return projected values
  increment_update->>activation: apply configured activation
  activation-->>increment_update: return activated values
  increment_update->>SIMD_AXPY: accumulate state update
  randomized_signature_sweep-->>Caller: return final signature state
Loading

Suggested reviewers: claude

Poem

A rabbit checks each vector lane,
While SIMD hops through every chain.
The paths align, the tests agree,
And benchmarks measure speed with glee.
New signatures spring from code—
A carrot-powered payload.

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Title check ✅ Passed The title clearly identifies the main change: adding the Cuchiero randomized-signature recurrence with an F64x8 SIMD implementation and the randomized_signature_sweep API.
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Actionable comments posted: 1

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Inline comments:
In `@src/hpc/randomized_signature.rs`:
- Around line 264-265: Replace the debug-only checks in the randomized signature
window validation with release-enforced validation, using assert_eq! for both
path-dimension checks before the sweep loop. Ensure ragged paths are rejected
before trailing coordinates can be ignored or shorter points indexed.

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Comment thread src/hpc/randomized_signature.rs Outdated
Comment on lines +264 to +265
debug_assert_eq!(window[0].len(), path_dim, "randomized_signature: ragged path");
debug_assert_eq!(window[1].len(), path_dim, "randomized_signature: ragged path");

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P2 Badge Validate ragged paths in release builds

When a later path point has a different width from path[0], these checks disappear in optimized builds. A wider point then has its extra coordinates silently ignored because delta_x is sized from the first point, producing a signature for truncated input, while a narrower point instead panics during indexing. Use an unconditional shape check so malformed paths are consistently rejected rather than encoded incorrectly.

Useful? React with 👍 / 👎.

CodeRabbit review on PR #294 caught a real bug: the ragged-path check used
debug_assert_eq!, which compiles out under --release. A later path point
wider than path[0] would silently truncate to path_dim and return a
signature for the wrong path; a narrower point would panic anyway (on
out-of-bounds indexing) but with a misleading message. This crate never
ships debug builds, so the guard was effectively absent.

Switched to assert_eq! (fires in every profile) and added a can-it-fire
test confirming the panic actually triggers under --release, not just
implied by removing debug_assert_eq!.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01KCGhDYoQBXs3poaR7sFuqp
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