From 077570167f6631507cd2190ffbdb10fa920733e7 Mon Sep 17 00:00:00 2001 From: Vuong Hoang Date: Mon, 10 Aug 2026 09:15:08 -0700 Subject: [PATCH] memory: dots-tts v2 consumer-confirmed clean (ratatoskr end-to-end verify) --- persistent-memory.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/persistent-memory.md b/persistent-memory.md index f248c21..e3bdb2c 100644 --- a/persistent-memory.md +++ b/persistent-memory.md @@ -130,7 +130,7 @@ _As of 2026-08-08 — long session; all major arcs LANDED (full detail per arc i ## Recent decisions -- `[2026-08-10]` **dots-tts v2 — contraction fix (curly-sanitize) + sentence-chunking + dependency-pin recovery.** Operator: donut read contractions wrong ("you're"→"you ree", "donut's"→"donut ess"). ROOT CAUSE (isolated via A/B booth): **curly/typographic apostrophes** (`’` U+2019 from ratatoskr's LLM) — dots' tokenizer mispronounces them; STRAIGHT apostrophes read clean under `normalize_text=True`. FIX (`app.py`): fold curly→ASCII (`str.maketrans`) before synth, **KEEP `normalize_text=True`** (operator call — retains number/date expansion). Also added **server-side sentence-chunking** (pack ≤280 chars): dots caps one `generate()` at ~500 patches/~40s, so long RP turns (the Zev monologue = 160s audio) truncated; chunking stitches them (verified full 160.3s, not 40s-cut). **⚠ BUILD FOOT-GUNS (both bit this redeploy):** (1) upstream dots.tts `constraints/recommended.txt` now pins **`gradio==6.17.0` — phantom, not on PyPI** → fresh `pip install dots.tts` unsatisfiable; FIX = pin `dots.tts==0.2.1` + **DROP** the `-c recommended.txt` constraints (0.2.1 pulls working gradio 6.17.3). (2) pinning only `torch==2.8.0` let **torchaudio float to 2.11.0 → dots.tts refuses to load** (minor-version match check); FIX = pin `torchaudio==2.8.0`. **⚠ DEPLOY LESSON:** `docker compose up -d` to a new tag swaps the LIVE container BEFORE any health check — a broken image crash-loops production (**ratatoskr TTS down ~1-2min this session**). NEW PATTERN = build → test in a THROWAWAY container on an alt port (:8199) → health+verify → only THEN cut live over (redeploy2.sh). v2 LIVE + healthy on irv-ml1:8198; **rollback = `sed DOTS_TAG=v1 + docker compose up -d dots-tts`** (v1 image retained). Also: deployed container GPU crept ~6→13.9GB over 8h serving (cache accumulation; a redeploy resets it — watch item). [[reference_chatterbox_fast_repo]] +- `[2026-08-10]` **dots-tts v2 — contraction fix (curly-sanitize) + sentence-chunking + dependency-pin recovery.** Operator: donut read contractions wrong ("you're"→"you ree", "donut's"→"donut ess"). ROOT CAUSE (isolated via A/B booth): **curly/typographic apostrophes** (`’` U+2019 from ratatoskr's LLM) — dots' tokenizer mispronounces them; STRAIGHT apostrophes read clean under `normalize_text=True`. FIX (`app.py`): fold curly→ASCII (`str.maketrans`) before synth, **KEEP `normalize_text=True`** (operator call — retains number/date expansion). Also added **server-side sentence-chunking** (pack ≤280 chars): dots caps one `generate()` at ~500 patches/~40s, so long RP turns (the Zev monologue = 160s audio) truncated; chunking stitches them (verified full 160.3s, not 40s-cut). **⚠ BUILD FOOT-GUNS (both bit this redeploy):** (1) upstream dots.tts `constraints/recommended.txt` now pins **`gradio==6.17.0` — phantom, not on PyPI** → fresh `pip install dots.tts` unsatisfiable; FIX = pin `dots.tts==0.2.1` + **DROP** the `-c recommended.txt` constraints (0.2.1 pulls working gradio 6.17.3). (2) pinning only `torch==2.8.0` let **torchaudio float to 2.11.0 → dots.tts refuses to load** (minor-version match check); FIX = pin `torchaudio==2.8.0`. **⚠ DEPLOY LESSON:** `docker compose up -d` to a new tag swaps the LIVE container BEFORE any health check — a broken image crash-loops production (**ratatoskr TTS down ~1-2min this session**). NEW PATTERN = build → test in a THROWAWAY container on an alt port (:8199) → health+verify → only THEN cut live over (redeploy2.sh). v2 LIVE + healthy on irv-ml1:8198, **CONSUMER-CONFIRMED clean** (ratatoskr verified end-to-end on their :8765 — apostrophe string reads clean, /api/tts 200 @ 48kHz, no client change; the ~1-2min blip didn't hit them, their concurrent auto-audio issue was client-side localStorage). **rollback = `sed DOTS_TAG=v1 + docker compose up -d dots-tts`** (v1 image retained). Also: deployed container GPU crept ~6→13.9GB over 8h serving (cache accumulation; a redeploy resets it — watch item). [[reference_chatterbox_fast_repo]] - `[2026-08-09→10]` **dots.tts (rednote-hilab) TTS burn-in on irv-ml1 + canonical voice corpus built (`voices/`).** Operator-directed eval to potentially replace chatterbox-fast. **dots.tts VERIFIED real** (canonical HF ns `dots-studio/`, `rednote-hilab/dots.tts-*` redirects there; Apache-2.0; PyPI `dots.tts` 0.2.1; 2B continuous-AR = semantic enc + Qwen2.5-1.5B LLM + flow-matching acoustic head over 48kHz AudioVAE; zero-shot clone from wav+transcript). **Runs on Ampere 3090** (sm_86, bf16, no fp8 dep); **optimized RTF 0.22** at num_steps=10 (`from_pretrained(..., optimize=True)` CUDA graphs — raw unoptimized was 1.21), **~6GB VRAM**, 48kHz, streams (`generate_stream`). Venv+cache at `irv-ml1:/home/lkraven/dots-tts` (~10GB). **Operator design calls:** SGLang Omni serving (OpenAI `/v1/audio/speech`), transcribe-refs-first, `soar` variant. ⚠ Omni serves soar but its continuous-batching + streaming opts are **mf-only** (soar = single-request) — non-issue for ratatoskr's single-consumer RP surface. **KEY FINDING — dots is highly sensitive to an accurate AND sentence-bounded reference transcript:** mismatched transcript → 0.16s collapse; over-long/messy transcript → reference-audio BLEEDS as an output prefix; mid-clause trim → dangling-word leak (glados "we'll", emmie "And,"). RECIPE (baked into `voices/derive.py`): trim ref to a clean ~6–10s clip ending on a sentence boundary + accurate transcript of exactly that clip. **CANONICAL VOICE CORPUS** stood up in eshpfi `voices/` (operator idea): engine-agnostic `canonical/.wav` + `transcripts/.txt` → per-engine ref sets DERIVED by `derive.py` reading `engines.yaml` profiles (dots/chatterbox/zonos); canonical wavs git-tracked (small/curated), `derived/` gitignored. **4 voices optimized + verified CLEAN for dots: donut, glados, emmie, miranda** (glados canonical is low-SR 16kHz — flagged upgrade candidate). ⚠ GPU GOTCHA: irv-ml1 native CUDA orders **A6000=device0** (ComfyUI-full) — pin the 3090 with `CUDA_DEVICE_ORDER=PCI_BUS_ID CUDA_VISIBLE_DEVICES=0`; and `PYTORCH_CUDA_ALLOC_CONF=expandable_segments` CONFLICTS with `optimize=True` CUDA graphs (curr_block error). Booths: `dots-vs-chatterbox`, `dots-voices-optimized`. **SHIPPED 2026-08-10:** operator A/B verdict "dots is very good" → containerized as a **thin FastAPI wrapper over DotsTtsRuntime** (chosen over SGLang Omni — Omni's batching is mf-only, unneeded for ratatoskr's single consumer; wrapper is SERIALIZED one-gen-at-a-time via a threading.Lock, Omni+mf = parked API-compatible escalation if multi-consumer ever lands). **LIVE on irv-ml1:8198** (`local/dots-tts:v1`, OpenAI `/v1/audio/speech` + `/health` + `/v1/voices`, container healthy, both stream + non-stream verified CLEAN, 4 voices donut/glados/emmie/miranda) alongside chatterbox :8197 (nothing repointed). Stack = `stacks/dots-tts/` (Dockerfile/app.py/compose/.env.example/README). ⚠ CONTAINER GOTCHA: `optimize=True` (torch.compile/inductor/triton) needs a **C compiler at RUNTIME** — slim image must `apt install build-essential` or model-load dies "Failed to find C compiler" (host venv had gcc ambient, masking it); persist `TORCHINDUCTOR_CACHE_DIR` to a mounted dir or every restart re-JITs ~5min. Corpus home = eshpfi `voices/` (operator ruled keep-here). **REMAINING: ratatoskr client cutover** to :8198 `/v1/audio/speech` (Phase-2 tail, peer-coupled — draft the ask). [[reference_chatterbox_fast_repo]] [[reference_zonos_tts_stack]] [[reference_verify_hf_repo_ids_before_pull]]