mirror of
https://github.com/ruvnet/RuVector.git
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e743785c7d
* feat: add CNN contrastive learning crate with SIMD optimization - Add ruvector-cnn crate with SIMD-optimized convolutions and contrastive losses - Implement InfoNCE (SimCLR) and TripletLoss for contrastive learning - Add MobileNet-V3 inspired backbone architecture - Include AVX2, NEON, WASM SIMD support with scalar fallback - Add WASM bindings (ruvector-cnn-wasm) for browser/Node.js - Add npm package with TypeScript definitions - Include comprehensive research docs and ADR-088 - 36 tests passing Co-Authored-By: claude-flow <ruv@ruv.net> * feat: add npm package JavaScript wrapper and TypeScript definitions Co-Authored-By: claude-flow <ruv@ruv.net> * fix(ruvector-cnn): implement real SIMD and fix stubbed code ## SIMD Implementations (was using scalar fallbacks) - AVX2: conv_3x3_avx2, conv_3x3_avx2_fma, depthwise_conv_3x3_avx2 - AVX2: global_avg_pool_avx2, max_pool_2x2_avx2 - WASM: conv_3x3_wasm, depthwise_conv_3x3_wasm All now use real SIMD intrinsics processing 8 (AVX2) or 4 (WASM) channels simultaneously with scalar fallback for remainders. ## Backbone Fixes - Deprecated MobileNetV3Small/Large (use unified MobileNetV3 instead) - Implemented actual block processing in forward() methods - Fixed hardcoded channel counts in global_avg_pool calls ## Dead Code Fixes - Added #[allow(dead_code)] for momentum field (used in training) - Added #[allow(dead_code)] for rng field (feature-gated) - Added #[cfg(feature = "augmentation")] for rand::Rng import - Commented out undefined "parallel" feature reference Co-Authored-By: claude-flow <ruv@ruv.net> * feat(ruvector-cnn): add Winograd F(2,3) and π-calibrated INT8 quantization - Add Winograd F(2,3) transforms for 2.25x faster 3x3 convolutions - Implement π-calibrated INT8 quantization with anti-resonance offsets - Apply 4x loop unrolling with 4 accumulators to AVX2 convolutions - Update README with practical intro, capabilities table, benchmarks - Update npm README with simpler language and examples - Add CNN image embeddings to root README capabilities Co-Authored-By: claude-flow <ruv@ruv.net> * feat: publish @ruvector/cnn v0.1.0 WASM npm package - Add unsafe blocks for WASM SIMD intrinsics (v128_load/v128_store) - Disable wasm-opt to avoid SIMD validation issues - Build and include WASM bindings in npm package - Update npm package.json with all WASM files - Published to npm as @ruvector/cnn@0.1.0 Co-Authored-By: claude-flow <ruv@ruv.net> --------- Co-authored-by: Reuven <cohen@ruv-mac-mini.local>
50 lines
1.2 KiB
JSON
50 lines
1.2 KiB
JSON
{
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"name": "@ruvector/cnn",
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"version": "0.1.0",
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"description": "CNN feature extraction for image embeddings - SIMD-optimized, pure Rust/WASM",
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"main": "index.js",
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"module": "index.mjs",
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"types": "index.d.ts",
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"files": [
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"index.js",
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"index.d.ts",
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"ruvector_cnn_wasm_bg.wasm",
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"ruvector_cnn_wasm.js",
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"ruvector_cnn_wasm.d.ts",
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"ruvector_cnn_wasm_bg.wasm.d.ts",
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"README.md"
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],
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"scripts": {
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"build": "wasm-pack build ../../crates/ruvector-cnn-wasm --target web --out-dir ../../npm/packages/ruvector-cnn/pkg",
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"postbuild": "cp pkg/* . && rm -rf pkg",
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"test": "node test.js"
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},
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"keywords": [
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"cnn",
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"embeddings",
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"image",
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"wasm",
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"simd",
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"machine-learning",
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"contrastive-learning",
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"mobilenet",
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"ruvector"
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],
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"author": "ruvnet",
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"license": "MIT",
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"repository": {
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"type": "git",
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"url": "https://github.com/ruvnet/ruvector.git",
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"directory": "npm/packages/ruvector-cnn"
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},
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"bugs": {
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"url": "https://github.com/ruvnet/ruvector/issues"
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},
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"homepage": "https://github.com/ruvnet/ruvector#readme",
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"engines": {
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"node": ">=16.0.0"
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},
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"publishConfig": {
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"access": "public"
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}
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}
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