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CMLE/TFX failure: Exceeded the max allowed number of models per project: 100. #587

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Ark-kun opened this issue Dec 22, 2018 · 6 comments
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CMLE/TFX failure: Exceeded the max allowed number of models per project: 100. #587

Ark-kun opened this issue Dec 22, 2018 · 6 comments
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@gaoning777

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@Ark-kun
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Ark-kun commented Dec 22, 2018 

run-notebook-tfx-tests:	<IPython.core.display.HTML object>
run-notebook-tfx-tests:	<HttpError 429 when requesting https://ml.googleapis.com/v1/projects/ml-pipeline-test/models?alt=json returned "Quota failure for project ml-pipeline-test. Quota failure for project 363997316495. Exceeded the max allowed number of models per project: 100. To read more about Cloud ML Engine quota, see https://cloud.google.com/ml-engine/quotas. To read more about Cloud ML Engine quota, see https://cloud.google.com/ml-engine/quotas.">

/assign @gaoning777
@gaoning777
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Thanks. The problem could be the models are left uncleaned for certain reasons.

@Ark-kun
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Ark-kun commented Jan 3, 2019

/assign @qimingj

@Ark-kun
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Ark-kun commented Jan 3, 2019

Thanks. The problem could be the models are left uncleaned for certain reasons.

I do not remember any model cleanup code at all...

@Ark-kun Ark-kun mentioned this issue Jan 3, 2019
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@Ark-kun
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Ark-kun commented Jan 3, 2019 •
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Script to remove all model versions:

gcloud ml-engine models list --project ml-pipeline-test | xargs -n 1 -P 8 gcloud ml-engine versions delete beta --quiet --project ml-pipeline-test --model
gcloud ml-engine models list --project ml-pipeline-test | xargs -n 1 -P 8 gcloud ml-engine models delete --project ml-pipeline-test --quiet

@gaoning777
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The sample test cleaned the models after testing.
https://github.com/kubeflow/pipelines/blob/master/test/sample-test/clean_cmle_models.py

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resolved in #622

@vicaire vicaire closed this as completed Mar 26, 2019
Linchin pushed a commit to Linchin/pipelines that referenced this issue Apr 11, 2023
@jlewi
Add TFJob and PyTorch controller to the list of applications for CD. (k…
26ff3af 
…ubeflow#587)

* Update the Tekton pipelines to support applications whose source
  code isn't in the kubeflow repository (e.g. TFJob controller and pytorch)

  * We need to generalize the name of the git resource containing
    the application to be app-repo.

* update_kf_apps.py needs to filter out repositories that aren't need for
  a particular application; attaching extra resources to a pipeline causes
  the run to fail.

* Update tests to work with assumption that source could be a different
  repository.

* Use structured logging to make it easier to find logs about a particular
  application
magdalenakuhn17 pushed a commit to magdalenakuhn17/pipelines that referenced this issue Oct 22, 2023
@jinchihe @k8s-ci-robot
upgrade knative to v0.10.0 in ci tests (kubeflow#587)
5071b2f
HumairAK pushed a commit to red-hat-data-services/data-science-pipelines that referenced this issue Mar 11, 2024
@Tomcli
Fix custom task condition I/O behaviors on recursion and for loop (ku…
1bf5aa5 
…beflow#587)

* fix custom task I/O behaviors on recursion and while loop

* Fix comment typo
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@Ark-kun @gaoning777 @qimingj @vicaire