Delete ane_fp32

ane_fp32/README.md

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----
-license: mit
-tags:
-- text-to-speech
-- styletts2
-- coreml
-- apple-silicon
-- ane
-library_name: coreml
-pipeline_tag: text-to-speech
----
-
-# StyleTTS2 CoreML (LibriTTS) — fp32
-
-Apple CoreML conversion of [StyleTTS2](https://github.com/yl4579/StyleTTS2)
-(LibriTTS checkpoint), split into three fixed-shape mlpackages so each
-piece can target the compute unit it runs best on. Targets iOS 17+ /
-macOS 14+. fp32 across the board — fp16 / ANE placement is a separate
-phase (see Phase 6 in `coreml/PHASE6_FP16_DECODER.md` upstream).
-
-## Layout
-
-```
-styletts2_diffusion_step_256_fp32.mlpackage    (~95 MB)   one DDIM-style sampler step
-styletts2_decoder_noise_2048_fp32.mlpackage    (~9.4 MB)  HiFi-GAN SineGen + harmonic source
-styletts2_decoder_vocoder_2048_fp32.mlpackage  (~208 MB)  HiFi-GAN body (Snake → cos rewrite)
-voices/                                                    pre-extracted ref_s tensors (256-dim, fp32)
-```
-
-The three mlpackages are designed to be called in this order from a Swift
-host: text encoder + BERT + duration encoder run host-side, the diffusion
-step is invoked `num_steps` times by the host's ADPM2 sampler, then the
-noise + vocoder pair produce 24 kHz audio.
-
-## Bucket / shape contract
-
-| input | shape | notes |
-|---|---|---|
-| diffusion step | `noise (1, 1, 256)`, `embedding (1, T_tok, 768)`, `sigma (1,)`, `features (1, 256)` | Single fixed `T_tok=256` bucket |
-| noise | `F0_curve (1, 4096)`, `noise (1, 1228800, 9)` | `T_mel=2048` bucket; `noise` is fp32 Gaussian |
-| vocoder | `asr (1, 512, 2048)`, `F0_curve (1, 4096)`, `N (1, 4096)`, `s (1, 128)`, `har_source (1, 1, 1228800)` | `T_mel=2048` bucket |
-
-The `T_mel=2048` bucket caps text at ~6.4 s of audio per call (hop=300,
-sample_rate=24000). Short utterances pad with zeros up to the bucket on
-the host side.
-
-The noise mlpackage takes `noise` as a graph input (caller-supplied
-`torch.randn`); this is the Trial 35 fix that restored fricative
-broadband energy. Earlier exports baked a `sin(fn × 100)` substitute for
-the upstream `randn_like(sine_waves)` term to keep the trace
-deterministic — silent unvoiced regions destroyed /s/, /sh/, /f/.
-
-## Digests
-
-```
-diffusion_step_256:   563ed124a1ddbc3e4fb2374e53ef69966676d1d41bc07b0c25ba9f92a1902af2
-decoder_noise_2048:   a0b2778f35bbc81316ac5f15fea1e7cf68bf103ce635d590e498b935df7de50b
-decoder_vocoder_2048: 9cefdac41e6cc851774bcb21c8aa7ee635a3283d0e658a52f1e3242a6bf1612e
-```
-
-`package_digest` = `sha256(json([sorted (path, sha256(file)) for file in pkg]))`.
-See `scripts/phase5_lock_fp32.py` upstream for the locking workflow.
-
-## Voices
-
-`voices/ref_s_*.bin` — 256-dim `float32` style + prosody embeddings, raw
-little-endian (no header). One file per speaker; load with
-`Data(contentsOf:)` and copy into a `(1, 256)` MLMultiArray. Filenames
-mirror the LibriTTS demo speakers plus a few extras (Yinghao, Vinay,
-Nima, Gavin, sleepy, amused, anger, disgusted).
-
-## Compute units
-
-- diffusion step: `cpu_and_gpu` recommended (most ops Snake-rewritten;
-  ANE placement gated on Phase 6 fp16).
-- noise: `cpu_and_gpu` only — fp32 mlprogram cannot run on ANE; in
-  Phase 6 the SineGen phase accumulator saturates in fp16, so this
-  stage stays fp32 even after ANE migration.
-- vocoder: `cpu_and_gpu` (same fp32 → no ANE rule).
-
-Setting `compute_units = .cpuAndGPU` from Swift matches how the
-conversion harness validates parity.
-
-## Conversion source
-
-Conversion scripts and trial documentation live in the
-[mobius](https://github.com/your-org/mobius) repo under
-`models/tts/styletts2/`. Key files:
-
-- `scripts/04_export_diffusion_step_fp32.py` (diffusion step)
-- `scripts/04a_export_decoder_noise_fp32.py` (noise — Trial 35)
-- `scripts/04b_export_decoder_vocoder_fp32.py` (vocoder — Phase 3b
-  Snake → cos rewrite)
-- `scripts/phase4_chain_parity.py` (PT-vs-CoreML log-mel dB gate;
-  exit threshold 0.5 dB)
-- `scripts/phase5_lock_fp32.py` (digest lock for the three mlpackages)
-- `coreml/TRIALS.md` (full trial log including Bug C / Trial 35)
-- `coreml/PRECISION.md` (per-stage parity numbers)
-
-## License
-
-MIT. Upstream StyleTTS2 is also MIT-licensed; LibriTTS is CC BY 4.0.
-This export reproduces upstream weights without modification — only the
-graph layout changes (split + Snake → cos identity rewrite + constfold
-SineGen).
-
-## Limitations
-
-- Single fixed bucket per stage; very long inputs require host-side
-  chunking (not provided here).
-- fp32 only. ANE placement requires fp16; see Phase 6 notes upstream.
-- LibriTTS-only checkpoint — no LJSpeech / multilingual variants in
-  this folder.
-- Diffusion sampler must run host-side; the mlpackage exposes one step
-  at a time.

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