How Do I Reduce the Size of an Image Created Locally or on ECS?

Choose a smaller image that fits your needs. For instance, if you are creating a PyTorch 2.1 + CUDA 12.2 image and cannot find an exact match from Huawei Cloud, avoid selecting an image with unrelated components (like MindSpore + CUDA 11.X). Otherwise, both the base and target images will end up large.

You can take the following measures to reduce the size of an image:

• Reduce layers of the target image.

  If two pip packages six and numpy need to be installed, install them in the same layer.

  Recommended:

  RUN pip install six &&\
      pip install numpy

  Not recommended:

  RUN pip install six
  RUN pip install numpy

  The more the image layers are, the larger the image is.

• Install and uninstall the packages in the same layer.

  To uninstall an SCC package downloaded from the official website, do as follows:

  Recommended:

  RUN mkdir -p /tmp/scc && \
      cd /tmp/scc && \
      wget http://100.95.151.167:6868/aarch64/euler/dls-release/euleros-arm/compiled-software/seccomponent-1.1.0-release.aarch64.rpm && \
      rpm -ivh /tmp/scc/seccomponent-1.1.0-release.aarch64.rpm --force --nodeps && \
      rm -rf /tmp/scc

  Not recommended:

  RUN mkdir -p /tmp/scc && \
      cd /tmp/scc && \
      wget http://100.95.151.167:6868/aarch64/euler/dls-release/euleros-arm/compiled-software/seccomponent-1.1.0-release.aarch64.rpm && \
      rpm -ivh /tmp/scc/seccomponent-1.1.0-release.aarch64.rpm --force --nodeps
  RUN rm -rf /tmp/scc