55 lines
1.8 KiB
Docker
55 lines
1.8 KiB
Docker
FROM tensorflow/tensorflow:2.3.0-gpu
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# why 2.3 ? I looked it up on stack overflow
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# https://stackoverflow.com/questions/50622525/which-tensorflow-and-cuda-version-combinations-are-compatible
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# here is a nice list, which tf version is compatible with which cuda
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# from the cmmand docker run --runtime=nvidia --rm nvidia/cuda:9.0-base nvidia-smi
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# you get your installed cuda version running
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RUN useradd -ms /bin/bash pluritonian
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COPY Translations.txt /home/pluritonian/Translations.txt
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COPY test_runwithgen.py /home/pluritonian/test_runwithgen.py
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COPY test_runwithload.py /home/pluritonian/test_runwithload.py
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COPY generateModels.py /home/pluritonian/generateModels.py
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COPY req.js /home/pluritonian/req.js
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COPY postcommand /home/pluritonian/postcommand
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COPY EndDokumente /home/pluritonian/EndDokumente
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COPY german.model.big /home/pluritonian/german.model.big
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COPY updateDatabase.py /home/pluritonian/updateDatabase.py
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COPY txtFilesInDir2PythonListInTxtFile.py /home/pluritonian/txtFilesInDir2PythonListInTxtFile.py
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COPY pythonlistInTxtFile2NoStopwords.py /home/pluritonian/pythonlistInTxtFile2NoStopwords.py
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COPY pythonlistInTxtFile2lowercase.py /home/pluritonian/pythonlistInTxtFile2lowercase.py
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COPY pythonlistInTxtFile2wordClouds.py /home/pluritonian/pythonlistInTxtFile2wordClouds.py
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COPY FASTsearch.py /home/pluritonian/FASTsearch.py
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COPY fastapi_server.py /home/pluritonian/fastapi_server.py
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#USER pluritonian
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WORKDIR /home/pluritonian
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RUN apt-get update && apt-get install nano
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RUN pip install joblib scikit-learn hickle==3.4.9 fastapi uvicorn[standard]
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RUN pip install idna==2.9 python-multipart==0.0.5
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RUN pip install nltk gensim
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RUN python generateModels.py
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# to let the container running:
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CMD uvicorn --host 0.0.0.0 fastapi_server:app
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#ENTRYPOINT ["tail"]
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#CMD ["-f","/dev/null"]
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