kubeflow/tf-multi-worker-strategy:v1-f654b1e

Multi-platform

Index digest

sha256:e4052f5a94f52614797ee4f7a0bc44ae68ea4a9dbba10aa1316478b18b76e8d7

OS/ARCH

Compressed size

1.62 GB

Last pushed

Type

Image

Manifest digest

sha256:99be15143289f40fad798b7fbb53b6ca92608043e50e67aeaa781f8838ae3ac4

Image Layers

1# debian.sh --arch 'amd64' out/46.22 MB

2RUN /bin/sh -c set -eux;22.9 MB

3RUN /bin/sh -c set -eux;61.41 MB

4RUN /bin/sh -c set -ex;201.56 MB

5ENV PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin0 B

6ENV LANG=C.UTF-80 B

7RUN /bin/sh -c set -eux;5.88 MB

8ENV GPG_KEY=E3FF2839C048B25C084DEBE9B26995E3102505680 B

9ENV PYTHON_VERSION=3.9.210 B

10ENV PYTHON_SHA256=3126f59592c9b0d798584755f2bf7b081fa1ca35ce7a6fea980108d752a05bb10 B

11RUN /bin/sh -c set -eux;18.93 MB

12RUN /bin/sh -c set -eux;250 B

13CMD ["python3"]0 B

14RUN /bin/sh -c apt-get update6.77 MB

15RUN /bin/sh -c pip install1.27 GB

16COPY examples/tensorflow/distribution_strategy/multi_worker_strategy-with-keras.py / # buildkit2.4 KB

17ENTRYPOINT ["python" "/multi_worker_strategy-with-keras.py" "--saved_model_dir" "/train/saved_model/"0 B

Command

# debian.sh --arch 'amd64' out/ 'bookworm' '@1742169600'