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| author | Pratik raj <rajpratik71@gmail.com> | 2020-06-13 07:25:32 +0530 |
|---|---|---|
| committer | Pratik raj <rajpratik71@gmail.com> | 2020-07-25 13:26:52 +0530 |
| commit | b9d94183348c6f72f79aa1fa69ce36147eda3660 (patch) | |
| tree | 65c49cdc08ee2a4e66161535d6e6ecd7b158094e /benchmarks | |
| parent | 7dd8d87c9626af792efdb5bb9621c7814db887d7 (diff) | |
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
Diffstat (limited to 'benchmarks')
| -rw-r--r-- | benchmarks/workloads/tensorflow/Dockerfile | 4 |
1 files changed, 2 insertions, 2 deletions
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 |