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Add CUDA docker version
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README.md
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README.md
@ -164,6 +164,16 @@ docker-compose up -d --build
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> Feel free to change the [`docker-compose.yml`](https://github.com/LibreTranslate/LibreTranslate/blob/main/docker-compose.yml) file to adapt it to your deployment needs, or use an extra `docker-compose.prod.yml` file for your deployment configuration.
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### CUDA
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You can use hardware acceleration to speed up translations on a GPU machine with CUDA 11.2 and [nvidia-docker](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html) installed.
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Run this version with:
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```bash
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docker-compose -f docker-compose.cuda.yml up -d --build
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```
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## Arguments
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| Argument | Description | Default | Env. name |
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docker-compose.cuda.yml
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docker-compose.cuda.yml
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version: "3"
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services:
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libretranslate-cuda:
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container_name: libretranslate-cuda
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build:
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context: .
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dockerfile: docker/Dockerfile.cuda
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restart: unless-stopped
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ports:
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- 5000:5000
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command: --gpus all
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docker/Dockerfile.cuda
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docker/Dockerfile.cuda
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FROM nvidia/cuda:11.2.2-devel-ubuntu20.04
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ENV ARGOS_DEVICE_TYPE cuda
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ARG with_models=true
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ARG models=
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WORKDIR /app
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ARG DEBIAN_FRONTEND=noninteractive
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RUN apt-get update -qq \
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&& apt-get -qqq install --no-install-recommends -y libicu-dev libaspell-dev libcairo2 libcairo2-dev pkg-config gcc g++ python3.8-dev python3-pip libpython3.8-dev\
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&& apt-get clean \
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&& rm -rf /var/lib/apt
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RUN pip3 install --upgrade pip
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COPY . .
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RUN ln -s /usr/bin/python3 /usr/bin/python
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RUN if [ "$with_models" = "true" ]; then \
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# install only the dependencies first
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pip3 install -e .; \
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# initialize the language models
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if [ ! -z "$models" ]; then \
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./install_models.py --load_only_lang_codes "$models"; \
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else \
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./install_models.py; \
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fi \
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fi
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# Install package from source code
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RUN pip3 install . \
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&& pip3 cache purge
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ENV LD_LIBRARY_PATH=/usr/local/cuda/lib:/usr/local/cuda/lib64
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EXPOSE 5000
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ENTRYPOINT [ "libretranslate", "--host", "0.0.0.0" ]
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