memlnaut-nisps/nisps/wasm

nisps/wasm

Emscripten target that exposes nisps/ml (MLP) and nisps/engines (audio engines) to the browser apps via a flat C ABI.

This directory is a leaf — it does not export headers for inclusion by other C++ code. The only artifact is bindings.cpp plus the build script that turns it into manifold/public/nisps.{wasm,js} (with a transitional copy to playground/public/ until P1 of docs/specs/plans/one-core-engine-refactor.md retires the playground).

Building

scripts/build-wasm.sh

Requires emcc (Emscripten). The script defaults to /usr/lib/emscripten/emcc and respects an EMCC env var override.

Output:

• manifold/public/nisps.wasm — the compiled module.
• manifold/public/nisps.js — Emscripten glue (factory function createNispsModule, MODULARIZE=1).

Both files are committed (so the browser apps work from a fresh clone without a C++ toolchain). Re-run build-wasm.sh after changes to nisps/{core,ml,engines,wasm}.

Architecture (runtime-shaped since one-core-engine P2)

The browser MLP is MLPCore<DynamicStorage> (nisps/ml/dynamic_storage.hpp): nisps_ml_create(input, output, hidden[3], n, seed) HONOURS its dimensions. The 4-layer topology (ReLU×3 + Sigmoid) is fixed; only the dimensions are runtime, capped at 4096 per dim. Non-positive/null arguments fall back to the historical defaults:

32 inputs → [10, 14, 18] hidden → 126 outputs

nisps_ml_reshape(ml, in, out, hidden, n, spread) constructs a new net at the requested shape, warm-starts it by copying the overlapping weight region (nisps/ml/warm_start.hpp), and swaps it in. The C-side dataset and the feedback controller state RESET on reshape (front-end shows a confirm modal). Heap is used only at create/reshape time, never per-call; the firmware target never compiles the dynamic storage at all (#error under NISPS_TARGET_EMBEDDED).

C API surface

See bindings.cpp for the full list. Summary:

Group	Functions
ML life	nisps_ml_create, nisps_ml_destroy, nisps_ml_reshape
ML I/O	nisps_ml_set_input, nisps_ml_process, nisps_ml_outputs, nisps_ml_infer_batch
Training	nisps_ml_add_example, nisps_ml_train, nisps_ml_eval_loss, nisps_ml_clear_examples
Weights	nisps_ml_weight_count, nisps_ml_get_weights, nisps_ml_set_weights, nisps_ml_draw_weights
Diag	nisps_ml_get_layer_stats, nisps_ml_loss_history, nisps_ml_describe
Engines	nisps_engine_create, nisps_engine_destroy, nisps_engine_set_params, nisps_engine_process_block

Engine-id strings follow the C++ engine_id() constexpr accessors: thru, paf_synth, channel_strip, xiasri, verb_fx, memlcelium, breakor, elysiamorf, analysis. Unknown ids fall back to thru (silent passthrough).