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memlnaut-nisps/playground/wasm/build.sh

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feat(playground): replace JS ML engine with WASM nisps-core Compile nisps-core C++ MLP to WASM (36KB) and use it as the ML engine in the playground, replacing the JavaScript port for inference, training, and weight manipulation. - Add extern "C" WASM bindings with spread-aware drawWeights/moveWeights - WasmIML class is a drop-in replacement for the JS IML - Inference runs on main thread via WASM (fast, synchronous) - Training runs in a Web Worker with its own WASM instance (non-blocking) - Interactive training (thumbs-up, train button) no longer freezes UI/audio - Preset loading and state restore still use sync training
2026-03-23 22:23:07 +01:00
#!/bin/bash
# Build nisps-core WASM module for the playground
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
NISPS_CORE="$SCRIPT_DIR/../../nisps-core/include"
OUT_DIR="$SCRIPT_DIR"
echo "Building nisps WASM module..."
emcc "$SCRIPT_DIR/nisps_bindings.cpp" \
-I"$NISPS_CORE" \
-std=c++20 \
-O2 \
-s EXPORTED_FUNCTIONS='[
"_nisps_mlp_create",
"_nisps_mlp_destroy",
"_nisps_mlp_weight_count",
"_nisps_mlp_get_weights",
"_nisps_mlp_set_weights",
"_nisps_mlp_inference",
"_nisps_mlp_train",
"_nisps_mlp_draw_weights_spread",
"_nisps_mlp_move_weights_spread",
feat(wasm): add batch inference, extended training, pin mask, eval loss, and layer stats bindings Five new C functions for the WASM module: - nisps_mlp_infer_batch: N-point batch inference in a single call - nisps_mlp_train_ex: training with per-iteration loss history output - nisps_mlp_move_weights_ex: moveWeights with output pin mask to skip pinned nodes - nisps_mlp_eval_loss: compute MSE loss without updating weights - nisps_mlp_get_layer_stats: per-layer weight magnitude, dead, and saturation stats
2026-04-03 18:11:49 +02:00
"_nisps_mlp_infer_batch",
"_nisps_mlp_train_ex",
"_nisps_mlp_move_weights_ex",
"_nisps_mlp_eval_loss",
"_nisps_mlp_get_layer_stats",
feat(playground): replace JS ML engine with WASM nisps-core Compile nisps-core C++ MLP to WASM (36KB) and use it as the ML engine in the playground, replacing the JavaScript port for inference, training, and weight manipulation. - Add extern "C" WASM bindings with spread-aware drawWeights/moveWeights - WasmIML class is a drop-in replacement for the JS IML - Inference runs on main thread via WASM (fast, synchronous) - Training runs in a Web Worker with its own WASM instance (non-blocking) - Interactive training (thumbs-up, train button) no longer freezes UI/audio - Preset loading and state restore still use sync training
2026-03-23 22:23:07 +01:00
"_nisps_alloc",
"_nisps_free",
"_nisps_alloc_int",
"_nisps_free_int",
"_malloc",
"_free"
]' \
-s EXPORTED_RUNTIME_METHODS='["cwrap","HEAPF32","HEAP32"]' \
-s MODULARIZE=1 \
-s EXPORT_NAME=NispsModule \
-s EXPORT_ES6=1 \
-s ENVIRONMENT='web,worker' \
-s ALLOW_MEMORY_GROWTH=1 \
-s INITIAL_MEMORY=16777216 \
-o "$OUT_DIR/nisps.js"
echo "Built: $OUT_DIR/nisps.js + $OUT_DIR/nisps.wasm"
echo "Size: $(du -h "$OUT_DIR/nisps.wasm" | cut -f1)"
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