osobhandClaude Opus 4.6
85b77d49f2
Add audio neural layers and model architectures for ClawSample integration
New nn layers:
- ConvTranspose1d with stride, padding, output_padding (9 tests)
- LSTM/BiLSTM with multi-layer support and hidden state (10 tests)
Audio source separation:
- Demucs ONNX inference with segmented overlap-add processing
- Native HtDemucs architecture (encoder/decoder with BiLSTM bottleneck)
- StemType enum: vocals, drums, bass, other, piano, guitar
Audio generation:
- Stable Audio Open ONNX inference scaffold
- GenerationParams (prompt, duration, steps, cfg_scale, seed)
ONNX export scripts:
- export_demucs_onnx.py — Demucs v4 to ONNX with segment chunking
- export_stable_audio_onnx.py — Stable Audio Open components
- export_mert_onnx.py — MERT music understanding transformer
Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>
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