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Enable users to launch and manage multiple Tensorboard instances within kubeflow pipelines #443

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neuromage opened this issue Dec 3, 2018 · 2 comments
Closed

Enable users to launch and manage multiple Tensorboard instances within kubeflow pipelines #443

neuromage opened this issue Dec 3, 2018 · 2 comments
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area/backend kind/feature priority/p1

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@neuromage
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@neuromage neuromage self-assigned this Dec 3, 2018
This was referenced Dec 3, 2018
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@vicaire
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vicaire commented Mar 26, 2019

Can we close this?

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vicaire commented Mar 26, 2019

Assuming that this is done. Please re-open if it is not the case.

@vicaire vicaire closed this as completed Mar 26, 2019
Linchin pushed a commit to Linchin/pipelines that referenced this issue Apr 11, 2023
@jlewi @k8s-ci-robot
Update the docker image used for auto deployment. (kubeflow#443)
54db950 
* Update the docker image used for auto deployment.

* We need to pick up the changes to auto-deploy.sh to take in argument
  kfctl_config

* Update the v0-6 code to use the new RC for 0.6.2 config file.
* Create a batch job for deploying from v0-6

Related to kubeflow/kubeflow#3905

* * Don't generate self-signed certificates for master because master
  is now using managed certificates.

* Fix bug.

* Fix lint.
magdalenakuhn17 pushed a commit to magdalenakuhn17/pipelines that referenced this issue Oct 22, 2023
@ukclivecox @k8s-ci-robot
Fix anchor tabular explanation serialization (kubeflow#443)
a376b5d 
* Fix anchor tabular explanation serialization

* Update fix for anchor tabular
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