The operator's call: "there should be one default learning rate and one
default max iterations and they should both be configurable at runtime."
There were SIX copies, not the four the audit described, and they did not
agree:
nisps/ml/mlp.hpp no-arg train() hardcoding 1.f / 1000u / 0.001f —
and firmware's ONLY training path calls exactly
this, so firmware had no runtime knob at all
wasm-iml.ts train() and trainAsync() TS default params (x2)
engine-api.ts learningRate ?? 1.0, with no maxIterations knob
vcv/src/iml.hpp 200 / 0.1 / 0.00001 — silently divergent
external_synth_midi.hpp its own kDefaultLearningRate/kDefaultMaxIterations
schemas/modes/*.json x9, identical, read by nobody at runtime
Now: schemas/ml_defaults.json is the single declaration (validated against a
sibling meta-schema, matching the midi_device.schema.json convention), codegen
emits it to C++ and TS in the same run, and MLPCore carries a TrainConfig whose
default member initialisers read the generated constant.
set_train_config()/nisps_ml_set_train_config() make it runtime-overridable on
every target; the explicit-argument train() overload is untouched. min_error
joins the tuple — it was duplicated identically and belongs with the other two.
The per-mode ml block loses default_learning_rate/default_max_iterations.
default_spread stays (genuinely wired on both targets) and input_channels stays
(codegen-time validated, real information for sound_analysis_midi).
VCV BEHAVIOUR CHANGE, deliberate: MEMLNaut.cpp constructs IML positionally and
relies on those defaults, so the module moves to 1000/1.0/0.001 — 5x the max
iterations, 10x the learning rate, and a 100x looser early-stop threshold. The
old values were never justified anywhere; they arrived with fbc68eb alongside
an unrelated module rewrite and no tuning rationale. Firmware and WASM have
shipped 1.0/1000 all along. It is now runtime-settable if this turns out worse.
The generated header lands in nisps/ml/generated/, not nisps/modes/generated/
where the rest of codegen output lives: training hyperparameters are an ML
fact, and nisps/ml sits below nisps/modes, so emitting them there would make
mlp.hpp include upward. The agent that built this flagged the directory-crossing
rather than hiding it; this is the fix. CI's generated-freshness gate learns the
new directory.
Gates: run-all-tests.sh ALL GREEN — 4/4 ctest, parity PASS (max delta 2.38e-7),
lint clean, manifold typecheck + 17 unit + 33 e2e (which exercise train() and
trainAsync() through a real browser).
Phase 3 (S1, S5, S6, S25, L11, L37, ST11, ST12). Behaviour-preserving by
construction: the diff on the generated directories is PURELY ADDITIVE (217
insertions, 0 deletions), so no emitted constant changed value. This moves where
truth lives; it does not change what truth says.
- S5: nine mode headers each carried a mechanically identical 12-field
positional ParamSchema aggregate. codegen now emits one
`inline constexpr ParamSchema k<Mode>Schema` per mode, and the struct itself
moved into generated/schema_types.hpp. Each param_schema() is a one-line
return.
- S6 + S25: every mode hand-typed its net shape a second time as MLP template
args, duplicating the schema's own dims. codegen emits a `<Mode>MLP` alias
built from the already-emitted constants (not re-literalled), and all nine
modes use it. NMaxExamples still defaults from kDefaultMaxExamples (Phase 2).
- S1: model.ts hand-imported all nine schemas by name and hand-paired each with
its overlay — so the SET of modes was hand-maintained and could silently drift
from codegen. codegen now emits ALL_MODE_SCHEMAS; SCHEMA_MODE_OVERLAYS is
purely display truth (label/glyph/css/order), which stays hand-curated.
- L37: deleted the hand-written modeEngineId switch, which duplicated
schema.engine_id and silently defaulted unknown modes to 'thru'. Routes on
MFMode.engineId with exactly one documented exception: sound_analysis_midi
declares engine_id 'thru' because its ModeBase audio slot really is
NoOpEngine, while it separately drives the real AnalysisEngine.
- L11: ExternalSynthMIDIMode's shape was literal in two places; now named once
in an ext_synth_defaults namespace with an ExtSynthMIDIMLP alias. Full folding
into the JSON pipeline is NOT done and the reason is recorded in-file: it is a
template family over an externally-supplied Device and variable NOut, with no
single (device, NOut) schema to author.
- ST12: extracted codegen/lib.ts for the helpers both generators duplicated, and
corrected the comment that claimed they had to be separate. Proof the
extraction was behaviour-free: regenerating the MIDI-device outputs produces a
byte-identical tree.
- ST11: deleted codegen/templates/ — dead "reference" files no generator reads,
already drifted from the real emitters.
Gates: run-all-tests.sh ALL GREEN; codegen idempotent (re-running both
generators yields no further diff), which is what CI's dirty-diff gate checks.
New SLP-Workshop firmware variant (Synth Library Portland), built on the
MEMLCelium engine + MLP shape. Ports the two post-fork learning-algorithm
changes from upstream memllib InterfaceRL into the shared nisps/ml core,
runtime-configurable (no compile-time switch), inert by default:
- nisps/ml/jolt.hpp: Jolt — held continuous weight morph over the flat
weight buffer + post-release LR ramp (kJolt* constants verbatim).
- nisps/ml/ou_noise.hpp: OUNoise<N> — Ornstein-Uhlenbeck exploration walk
on the output vector (theta=0.02, dt=0.001, kMaxAmplitude=0.65).
Both wired into ModeBase so every mode gains jolt_press/jolt_release/
jolt_lr_scale + set_explore_intensity; gated so existing modes stay
bit-identical (parity + golden tests green). Firmware surfaces them on
TogB1 (Jolt) and RVX1 (explore). New SLPWorkshopMode mode + schema +
codegen; firmware alias + .ino variant; playground mode registration.
Tests: jolt + OU unit tests, ModeBase learning integration incl. an
inert-parity test proving SLP-Workshop == MEMLCelium with features off.
Verified: cpp tests, wasm build, native↔wasm parity, lint, codegen
golden, playground typecheck. Firmware compile/e2e/hardware are
environment-bound (no arduino-cli/submodules/browser here).
Refs ergo 019f0fca.
Stream 5 shipped a temporary local Curve enum (PascalCase) while stream 1
was in flight. Stream 1 has now landed nisps/core/math.hpp with the
authoritative lowercase Curve enum per architecture spec. Generated C++
headers now include core/math.hpp and re-export the enum into the
generated namespace via 'using Curve = ::nisps::Curve;'.
- codegen/generate.ts: emit lowercase enum values + include math.hpp
- regenerated all 8 mode schema headers
- updated golden snapshot to match
Verified all 8 headers compile clean with -std=c++20 -Wall -Wextra.
Output of \`bun run codegen/generate.ts\` for the 8 mode schemas.
These files are checked in so consumers don't need bun on every
build, but they remain regenerable and byte-identical.
C++ (nisps/modes/generated/):
schema_types.hpp + 8 <mode_id>_schema.hpp files. All compile
cleanly with g++ -std=c++20 -Wall -Wextra -fsyntax-only -I nisps.
TS (playground/src/modes/generated/):
types.ts + index.ts + 8 <mode_id>_schema.ts files. Type-check
cleanly with tsc --strict.
