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Pratik raj
b9d9418334
Using "--no-cache-dir" flag in pip install ,make sure dowloaded packages by pip don't cached on system . This is a best practise which make sure to fetch ftom repo instead of using local cached one . Further , in case of Docker Containers , by restricing caching , we can reduce image size. In term of stats , it depends upon the number of python packages multiplied by their respective size . e.g for heavy packages with a lot of dependencies it reduce a lot by don't caching pip packages. Further , more detail information can be found at https://medium.com/sciforce/strategies-of-docker-images-optimization-2ca9cc5719b6
15 lines
458 B
Docker
15 lines
458 B
Docker
FROM tensorflow/tensorflow:1.13.2
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RUN apt-get update \
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&& apt-get install -y git
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RUN git clone --depth 1 https://github.com/aymericdamien/TensorFlow-Examples.git
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RUN python -m pip install --no-cache-dir -U pip setuptools
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RUN python -m pip install --no-cache-dir matplotlib
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WORKDIR /TensorFlow-Examples/examples
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ENV PYTHONPATH="$PYTHONPATH:/TensorFlow-Examples/examples"
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ENV workload "3_NeuralNetworks/convolutional_network.py"
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CMD python ${workload}
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