kubeflow/tf-multi-worker-strategy:v1-8c29c7b

Multi-platform

Index digest

sha256:413cbdd39027db4ea5d4a45d00665385932f2f9610d268b2443501f0f2cff19b

OS/ARCH

Compressed size

1.62 GB

Last pushed

Type

Image

Manifest digest

sha256:bd67ca990e9093b909ec92f25cd0f6523b63e0eda7d989c25a885bea3bb3e4b6

Image Layers

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

2RUN /bin/sh -c set -eux;22.9 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;251 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' '@1749513600'