rUv db988c90e5 feat(decompiler): pure Rust transformer inference — zero ML dependencies ...

transformer.rs (416 lines): complete forward pass in std Rust
- Multi-head self-attention with padding mask
- GELU activation, layer norm, softmax
- Loads weights from simple binary format (2.6MB)
- Zero external deps — just f32 math

neural.rs: Backend enum (Transformer/ONNX/Stub)
- .bin → pure Rust (always available, no feature flag)
- .onnx → ort (behind neural feature flag)
- .gguf/.rvf → stub for future RuvLLM integration

export-weights-bin.py: PyTorch → binary weight dump
- 42 tensors, 673,152 parameters, 2.6MB output

56 tests passing, zero warnings.

Co-Authored-By: claude-flow <ruv@ruv.net>

2026-04-03 02:41:47 +00:00

2.6 MiB

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