From b9d94183348c6f72f79aa1fa69ce36147eda3660 Mon Sep 17 00:00:00 2001 From: Pratik raj Date: Sat, 13 Jun 2020 07:25:32 +0530 Subject: optimize size and time using "--no-cache-dir" 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 --- benchmarks/workloads/tensorflow/Dockerfile | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) (limited to 'benchmarks') diff --git a/benchmarks/workloads/tensorflow/Dockerfile b/benchmarks/workloads/tensorflow/Dockerfile index b5763e8ae..eefe6b3eb 100644 --- a/benchmarks/workloads/tensorflow/Dockerfile +++ b/benchmarks/workloads/tensorflow/Dockerfile @@ -3,8 +3,8 @@ FROM tensorflow/tensorflow:1.13.2 RUN apt-get update \ && apt-get install -y git RUN git clone --depth 1 https://github.com/aymericdamien/TensorFlow-Examples.git -RUN python -m pip install -U pip setuptools -RUN python -m pip install matplotlib +RUN python -m pip install --no-cache-dir -U pip setuptools +RUN python -m pip install --no-cache-dir matplotlib WORKDIR /TensorFlow-Examples/examples -- cgit v1.2.3