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update changelog for 0.1.12 #925

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merged 1 commit into from
Mar 6, 2019
Merged

update changelog for 0.1.12 #925

merged 1 commit into from
Mar 6, 2019

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gaoning777
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@gaoning777 gaoning777 commented Mar 6, 2019

This change is Reviewable

@gaoning777 gaoning777 requested review from hongye-sun, IronPan and neuromage and removed request for IronPan and vicaire March 6, 2019 19:43
@neuromage
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/lgtm

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/approve

@IronPan
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IronPan commented Mar 6, 2019

/approve

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[APPROVALNOTIFIER] This PR is APPROVED

This pull-request has been approved by: gaoning777, IronPan

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[APPROVALNOTIFIER] This PR is APPROVED

This pull-request has been approved by: gaoning777, IronPan

The full list of commands accepted by this bot can be found here.

The pull request process is described here

Needs approval from an approver in each of these files:

Approvers can indicate their approval by writing /approve in a comment
Approvers can cancel approval by writing /approve cancel in a comment

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Ark-kun commented Mar 6, 2019

/lgtm

@gaoning777 gaoning777 merged commit 0c0c49e into kubeflow:master Mar 6, 2019
@gaoning777 gaoning777 deleted the release-changelog branch March 6, 2019 22:25
cheyang pushed a commit to alibaba/pipelines that referenced this pull request Mar 28, 2019
Linchin pushed a commit to Linchin/pipelines that referenced this pull request Apr 11, 2023
magdalenakuhn17 pushed a commit to magdalenakuhn17/pipelines that referenced this pull request Oct 22, 2023
* feat: Add livenessprobe to Tensorflow

A hardcoded 180s initial delay exists. If models take longer than this
to load, problems might occur.

* Add LivenessProbe to Tensorflow Predictor

To catch scenarios where TensorFlow (especially on GPU) runs out of
memory at runtime and enters a loop of sadness.

Initial delay is set to 180s, this might need to be adjusted as it might
be an issue for insanely large models.

* PRIVATE: Increase liveness initial delay to 10min
HumairAK pushed a commit to red-hat-data-services/data-science-pipelines that referenced this pull request Mar 11, 2024
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6 participants