kubeflow/tf-multi-worker-strategy:v1-52e41d5

Multi-platform

Index digest

sha256:efbb2ac50e96aae86b8fb39277060eeda742c15c7fc4b6c8ee8f2839283c1c51

OS/ARCH

Compressed size

1.62 GB

Last pushed

Type

Image

Manifest digest

sha256:53f94f24069741f940a9c01d1351dc13b72dae546b5ac83a9a8f89c1214ddec9

Image Layers

1# debian.sh --arch 'amd64' out/46.25 MB

2RUN /bin/sh -c set -eux;22.91 MB

3RUN /bin/sh -c set -eux;61.42 MB

4RUN /bin/sh -c set -ex;201.58 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=3.9.230 B

10ENV PYTHON_SHA256=61a42919e13d539f7673cf11d1c404380e28e540510860b9d242196e165709c90 B

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

12RUN /bin/sh -c set -eux;249 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' '@1751241600'