From 16f7d080c67c4601ba0e9e4237cca52b22955a7f Mon Sep 17 00:00:00 2001 From: pkhuyen257 Date: Tue, 21 Jul 2026 13:43:41 +0700 Subject: [PATCH 1/2] Add CPU-only Docker deployment --- Dockerfile.cpu | 47 + README-docker.md | 142 ++ compose.cpu.yaml | 17 + compose.gpu.yaml | 10 + compose.yaml | 29 + omnivoice/cli/demo.py | 3 +- uv.cpu.lock | 3642 +++++++++++++++++++++++++++++++++++++++++ 7 files changed, 3889 insertions(+), 1 deletion(-) create mode 100644 Dockerfile.cpu create mode 100644 README-docker.md create mode 100644 compose.cpu.yaml create mode 100644 compose.gpu.yaml create mode 100644 compose.yaml create mode 100644 uv.cpu.lock diff --git a/Dockerfile.cpu b/Dockerfile.cpu new file mode 100644 index 00000000..5f632f71 --- /dev/null +++ b/Dockerfile.cpu @@ -0,0 +1,47 @@ +# syntax=docker/dockerfile:1 + +FROM python:3.11-slim-bookworm + +ARG UV_VERSION=0.10.4 + +ENV PYTHONUNBUFFERED=1 \ + PIP_NO_CACHE_DIR=1 \ + UV_LINK_MODE=copy \ + UV_TORCH_BACKEND=cpu \ + UV_HTTP_TIMEOUT=300 \ + UV_HTTP_RETRIES=5 \ + HF_HOME=/cache/huggingface \ + GRADIO_ANALYTICS_ENABLED=false + +RUN apt-get update && apt-get install -y --no-install-recommends \ + ffmpeg \ + libsndfile1 \ + libgomp1 \ + && rm -rf /var/lib/apt/lists/* + +WORKDIR /app + +RUN pip install --no-cache-dir "uv==${UV_VERSION}" + +COPY pyproject.toml README.md LICENSE ./ +COPY uv.cpu.lock ./uv.lock + +RUN --mount=type=cache,target=/root/.cache/uv \ + uv sync --frozen --no-dev --no-install-project + +COPY omnivoice ./omnivoice + +RUN --mount=type=cache,target=/root/.cache/uv \ + uv sync --frozen --no-dev + +ENV PATH="/app/.venv/bin:$PATH" + +EXPOSE 8001 + +CMD ["omnivoice-demo", \ + "--model", "k2-fsa/OmniVoice", \ + "--ip", "0.0.0.0", \ + "--port", "8001", \ + "--device", "cpu", \ + "--no-asr"] + diff --git a/README-docker.md b/README-docker.md new file mode 100644 index 00000000..0462d754 --- /dev/null +++ b/README-docker.md @@ -0,0 +1,142 @@ +# OmniVoice Docker deployment + +OmniVoice has separate reproducible CPU and CUDA image workflows: + +- `compose.yaml` contains the common port, cache volume, health check, and CUDA + image defaults. +- `compose.cpu.yaml` selects `Dockerfile.cpu`, the `omnivoice-ui:cpu` image, + and `--device cpu`. It does not request a GPU. +- `compose.gpu.yaml` retains the CUDA image from `Dockerfile` and adds an + NVIDIA GPU reservation. + +`uv.cpu.lock` selects CPU-only PyTorch packages. The CPU image must not contain +CUDA or NVIDIA runtime packages. The regular `uv.lock` intentionally selects +the CUDA 12.8 PyTorch build, so the GPU image is expected to contain large +CUDA/NVIDIA dependencies. + +## Prerequisites + +- Docker Engine or Docker Desktop with Docker Compose v2 (`docker compose`). +- Network access while building and during the first model download. +- Enough disk space for the selected image and the model cache. +- On Windows, Docker Desktop running with WSL 2 integration enabled. + +An NVIDIA deployment also requires a supported NVIDIA GPU, a sufficiently +recent NVIDIA driver, and NVIDIA Container Toolkit or compatible Docker +Desktop/WSL 2 GPU support. + +## Validate Compose configuration + +```bash +# Common configuration +docker compose -f compose.yaml config + +# CPU configuration +docker compose -f compose.yaml -f compose.cpu.yaml config + +# NVIDIA configuration +docker compose -f compose.yaml -f compose.gpu.yaml config +``` + +## CPU-only image + +Build only the CPU image: + +```bash +docker compose --progress=plain -f compose.yaml -f compose.cpu.yaml build +``` + +Run packaging smoke tests without loading or downloading the OmniVoice model: + +```bash +docker image inspect omnivoice-ui:cpu --format "{{.Created}} {{.Size}}" + +docker run --rm --entrypoint omnivoice-demo omnivoice-ui:cpu --help + +docker run --rm --entrypoint python omnivoice-ui:cpu -c \ + "import torch, torchaudio, gradio, omnivoice; print('Imports OK'); print('PyTorch:', torch.__version__); print('TorchAudio:', torchaudio.__version__); print('CUDA build:', torch.version.cuda); print('CUDA available:', torch.cuda.is_available())" +``` + +For the CPU image, `torch.version.cuda` must be `None` and +`torch.cuda.is_available()` must be `False`. + +Start the CPU UI only when the machine has enough memory and disk space: + +```bash +docker compose -f compose.yaml -f compose.cpu.yaml up -d +``` + +Open after the health check passes. First startup may +take a long time because it downloads and loads the model. CPU inference can be +much slower than GPU inference, and packaging success does not prove acceptable +model latency or that the full model fits in available RAM. + +Manage the CPU deployment: + +```bash +# Status +docker compose -f compose.yaml -f compose.cpu.yaml ps + +# Follow logs +docker compose -f compose.yaml -f compose.cpu.yaml logs -f omnivoice + +# Stop services without removing them +docker compose -f compose.yaml -f compose.cpu.yaml stop + +# Restart the service +docker compose -f compose.yaml -f compose.cpu.yaml restart omnivoice + +# Remove the service container and network, but preserve the named cache volume +docker compose -f compose.yaml -f compose.cpu.yaml down +``` + +## CUDA/NVIDIA image + +Build the CUDA-capable image without starting it: + +```bash +docker compose --progress=plain -f compose.yaml build +``` + +Verify CUDA packaging without loading the model: + +```bash +docker run --rm --entrypoint python omnivoice-ui:468e927 -c \ + "import torch, gradio, omnivoice; print('Imports OK'); print('PyTorch:', torch.__version__); print('CUDA build:', torch.version.cuda); print('CUDA available:', torch.cuda.is_available())" +``` + +Packaging validation on a machine without an NVIDIA GPU does not prove GPU +inference works. Validate the NVIDIA driver and container runtime on the target +host before deployment: + +```bash +nvidia-smi +docker info +``` + +Build and launch on the NVIDIA host: + +```bash +docker compose -f compose.yaml -f compose.gpu.yaml up --build -d +``` + +Manage the NVIDIA deployment: + +```bash +docker compose -f compose.yaml -f compose.gpu.yaml ps +docker compose -f compose.yaml -f compose.gpu.yaml logs -f omnivoice +docker compose -f compose.yaml -f compose.gpu.yaml stop +docker compose -f compose.yaml -f compose.gpu.yaml restart omnivoice +docker compose -f compose.yaml -f compose.gpu.yaml down +``` + +## Persistent model cache + +Both deployments mount the existing named volume +`omnivoice_huggingface-cache` at `/cache/huggingface`. Model files survive +container stops, restarts, rebuilds, and normal `docker compose down`, avoiding +large repeated downloads. + +Do not run `docker compose down -v` unless deletion of the model cache is +explicitly intended. The `-v` option removes Compose-managed volumes, including +the persistent Hugging Face cache. diff --git a/compose.cpu.yaml b/compose.cpu.yaml new file mode 100644 index 00000000..f571357d --- /dev/null +++ b/compose.cpu.yaml @@ -0,0 +1,17 @@ +services: + omnivoice: + build: + dockerfile: Dockerfile.cpu + image: omnivoice-ui:cpu + command: + - omnivoice-demo + - --model + - k2-fsa/OmniVoice + - --ip + - 0.0.0.0 + - --port + - "8001" + - --device + - cpu + - --no-asr + diff --git a/compose.gpu.yaml b/compose.gpu.yaml new file mode 100644 index 00000000..55f6b2c5 --- /dev/null +++ b/compose.gpu.yaml @@ -0,0 +1,10 @@ +services: + omnivoice: + deploy: + resources: + reservations: + devices: + - driver: nvidia + count: 1 + capabilities: + - gpu diff --git a/compose.yaml b/compose.yaml new file mode 100644 index 00000000..2d826923 --- /dev/null +++ b/compose.yaml @@ -0,0 +1,29 @@ +services: + omnivoice: + build: + context: . + dockerfile: Dockerfile + image: omnivoice-ui:468e927 + container_name: omnivoice-ui + ports: + - "8001:8001" + environment: + HF_HOME: /cache/huggingface + GRADIO_ANALYTICS_ENABLED: "false" + volumes: + - huggingface-cache:/cache/huggingface + shm_size: "2gb" + healthcheck: + test: + - CMD + - python + - -c + - "import urllib.request; urllib.request.urlopen('http://127.0.0.1:8001/', timeout=5)" + interval: 30s + timeout: 10s + retries: 5 + start_period: 15m + +volumes: + huggingface-cache: + name: omnivoice_huggingface-cache diff --git a/omnivoice/cli/demo.py b/omnivoice/cli/demo.py index 6f79800b..4fe165fb 100644 --- a/omnivoice/cli/demo.py +++ b/omnivoice/cli/demo.py @@ -514,10 +514,11 @@ def main(argv=None) -> int: parser.print_help() return 0 logging.info(f"Loading model from {checkpoint}, device={device} ...") + dtype = torch.float32 if str(device).startswith("cpu") else torch.float16 model = OmniVoice.from_pretrained( checkpoint, device_map=device, - dtype=torch.float16, + dtype=dtype, load_asr=not args.no_asr, 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