Yes, we support specifying packages to be installed at runtime, but that takes time. Also, tensorflow (attempts to) use semantic versioning, so a user should be requiring tensorflow >=1.x,<2.0.
On Fri, Aug 31, 2018 at 12:36 PM Maximilian Michels < [email protected]> wrote: > *@mxm* approved this pull request. > ------------------------------ > > In sdks/python/container/Dockerfile > <https://github.com/apache/beam/pull/6314#discussion_r214312578>: > > > pip install "pandas == 0.18.1" && \ > pip install "scipy == 1.0.0" && \ > pip install "protobuf == 3.3.0" && \ > - pip install "tensorflow == 1.4.0" && \ > + pip install "tensorflow == 1.9" && \ > > Do we support upgrading the provided packages? What if user code requires > tensorflow 1.4? > > — > You are receiving this because you authored the thread. > Reply to this email directly, view it on GitHub > <https://github.com/apache/beam/pull/6314#pullrequestreview-151342493>, > or mute the thread > <https://github.com/notifications/unsubscribe-auth/AAdqgRg2Dov1c8CuBbHLaz1KdcMlTHP-ks5uWRGlgaJpZM4WU-wP> > . > [ Full content available at: https://github.com/apache/beam/pull/6314 ] This message was relayed via gitbox.apache.org for [email protected]
