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https://api.github.com/repos/kubeflow/pipelines/issues/9299 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9299/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9299/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9299/events | https://github.com/kubeflow/pipelines/issues/9299 | 1,694,168,389 | I_kwDOB-71UM5k-vVF | 9,299 | Vulnerabilities in images identified | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.",
"This problem is more urgent than ever, as vulnerabilities have very important consequences for business exploitation!"
] | 2023-05-03T14:17:16 | 2023-08-09T08:52:57 | null | NONE | null | ### Feature Area
/area backend
### What feature would you like to see?
<!-- Provide a description of this feature and the user experience. -->
Vulnerabilities in images:
Currently there are vulnerabilities:
go pkg
github.com/emicklei/go-restful; CVE-2022-1996; CRITICAL; v2.9.5+incompatible; resolved ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9298 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9298/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9298/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9298/events | https://github.com/kubeflow/pipelines/issues/9298 | 1,693,773,258 | I_kwDOB-71UM5k9O3K | 9,298 | [bug] Kubeflow Pipelines issue K8s 1.22+ | {
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"Hi @tanken, we suggest to try KFP v2 beta.1: https://github.com/kubeflow/pipelines/releases/tag/2.0.0-beta.1 ",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions."
] | 2023-05-03T10:09:58 | 2023-08-09T07:41:34 | null | NONE | null | ### Environment
Hi, a previously reported issue https://github.com/kubeflow/pipelines/issues/8076 doesnt seem to be fixed with any of the latest KFP versions.
* How do you deploy Kubeflow Pipelines (KFP)?
Standalone deployment on EKS https://www.kubeflow.org/docs/components/pipelines/v1/installation/standalone-... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9292 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9292/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9292/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9292/events | https://github.com/kubeflow/pipelines/issues/9292 | 1,693,037,136 | I_kwDOB-71UM5k6bJQ | 9,292 | [bug] Unexpected Argo behavior with background processes and emissary executor | {
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"Hi @ajaypbrt, can you share what the expected result looks like? Also, it seems like the issue is related to Argo, so we suggest to report this one in Argo community.",
"I will post it there. I expect the container to exit immediately when the main process `/bin/sh` exits and not wait for any background processe... | 2023-05-02T20:11:04 | 2023-08-10T07:41:23 | null | NONE | null | ### Environment
We have a Kubeflow deployment with KFP and are running `gcr.io/ml-pipeline/argoexec:v3.3.8-license-compliance` with the emissary executor.
### Steps to reproduce
Create and run a pipeline with this op:
```
def test_op():
return dsl.ContainerOp(
name="test_container",
imag... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9266 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9266/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9266/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9266/events | https://github.com/kubeflow/pipelines/issues/9266 | 1,689,055,879 | I_kwDOB-71UM5krPKH | 9,266 | [frontend] tfx components like StatisticsGen and ExampleValidator does not display other splits than 'train' and 'eval' in the KFP vizualization window | {
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"Hi @ykacer, would you mind providing the tfx pipeline definition? Then, we can reproduce the issue. Also, the KFP version you were using is quite old. Suggest to use newer version here: https://www.kubeflow.org/docs/components/pipelines/v1/installation/standalone-deployment/",
"This issue has been automatically ... | 2023-04-28T19:49:19 | 2023-08-09T07:41:36 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Kubeflow Pipelines as part of a full Kubeflow deployment in Google Cloud Platform
* KFP version:
v1.5
### Steps to reproduce
When creating a third split named "val" (for example), visualization components windows (at least StatisticsGe... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9251 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9251/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9251/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9251/events | https://github.com/kubeflow/pipelines/issues/9251 | 1,686,015,033 | I_kwDOB-71UM5kfow5 | 9,251 | load_component_from_file() input to be parameterised | {
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"Hi @masoudjalayer90, this is currently not supported. Can you explain why you want this dynamic feature? ",
"hi @chensun this would enable me to use the parse an argument into the pipeline function that can be used to specify model_version (in the example given above). This would allow the use of multiple compon... | 2023-04-27T03:08:37 | 2023-08-09T07:41:39 | null | NONE | null | Issue:
looking to parse a pipeline argument through to the input for load_component_from_file()
```
@dsl.pipeline(name="my-pipeline")
def pipeline(
model_version: str
) -> None:
run_model_for_partition_task = comp.load_component_from_file(
filename=f"models/run_model_{model_version}_component_s... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9240 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9240/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9240/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9240/events | https://github.com/kubeflow/pipelines/issues/9240 | 1,685,097,484 | I_kwDOB-71UM5kcIwM | 9,240 | [sdk] Pyright classifies use of types "not allowed" | {
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"Hi @WalterSmuts, admittedly I think this type annotation usage isn't correct. But I don't have a better solution. Maybe you'll have to add some comments on the line to disable pyright check. ",
"@chensun Can't you do something similar to `list` and `optional` and such? I believe they use the square brackets to ... | 2023-04-26T14:01:50 | 2023-06-06T14:35:32 | 2023-04-27T22:55:50 | NONE | null | ### Environment
```
[walter@cuddles Development]$ pip list | grep kfp
kfp 1.8.20
kfp-pipeline-spec 0.1.16
kfp-server-api 1.8.5
```
### Descriptoin
Pyright seems to think kubeflow pipeline's use of type constructors in the function signature is incorrect:
```
[walter... | {
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"@chongyouquan tagging you since there's a possibility it was deliberate and you may remember why!",
"Ill note that for now I've rolled back to 2.0.0b0 which seems to work fine as it has >= not == in aiplatform dependency spec",
"This is resolved in all the latest releases of GCPC."
] | 2023-04-26T10:25:13 | 2023-05-16T19:27:49 | 2023-05-16T19:27:49 | NONE | null | Apologies if this is the wrong place to post this, my issue seems to be in the GCPC==2.0.0b1 python package hosted on Pypi (https://pypi.org/project/google-cloud-pipeline-components/#history) and its dependencies. Since GCPC seems to live in this repo I am posting here, but I am unsure if it is a Backend, Frontend or S... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9224 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9224/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9224/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9224/events | https://github.com/kubeflow/pipelines/issues/9224 | 1,681,992,331 | I_kwDOB-71UM5kQSqL | 9,224 | [feature] Time fields in kfp RecurringRun should inform users of what timezone the field is in. | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions."
] | 2023-04-24T20:33:59 | 2023-08-09T07:41:41 | null | NONE | null | ### Feature Area
/area frontend
(Documentation)
### What feature would you like to see?
The documentation and possibly display for the timezones of the recurring run time components as they appear in the kubeflow pipelines dashboard should be better.
Specifically, what timezone each of the following fields ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9220 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9220/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9220/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9220/events | https://github.com/kubeflow/pipelines/issues/9220 | 1,681,800,874 | I_kwDOB-71UM5kPj6q | 9,220 | [04/24/23][infra] e2e test build failure | {
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"Root cause: https://lists.debian.org/debian-devel-announce/2023/03/msg00006.html"
] | 2023-04-24T18:21:10 | 2023-04-24T20:24:47 | 2023-04-24T20:24:46 | COLLABORATOR | null | E2e test failed to build images with error:
> Reading package lists...
> W: The repository 'http://security.debian.org/debian-security stretch/updates Release' does not have a Release file.
> W: The repository 'http://deb.debian.org/debian stretch Release' does not have a Release file.
> W: The repository 'http:/... | {
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"Hi @nutmilk10, the component code is meant to be executed at runtime in the kfp cluster, so it's expected that it won't read files from your local notebook. I think you'll have to resign your pipeline to either upload your data file to some cloud storage like s3, gcs, etc. or preload your data into an existing vol... | 2023-04-21T16:52:38 | 2023-04-27T23:03:20 | 2023-04-27T23:03:19 | NONE | null | I have a kubeflow notebook server that houses a large file (100 GB+) and was trying to read it into my pipeline but I am getting a file not found error. Not sure what's the best step since most tutorials I see download their data which isn't feasible in my case.
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* KFP version: 2.0.0b14
* KFP SDK version: google-cloud-pipeline-components==2.0.0b1
* All dependencies version:
kfp 2.0.0b14
kfp-pipeline-spec 0.2.2
kfp-server-api 2.0.0b1
### Steps to reproduce
Running this code (project ... | {
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"I got solution - cause of problem is no default istio-proxy container for KFP's components, so I had to add extra argument for _create_component_from_func_ function:\r\n```\r\ncomp_get_iris_data = components.create_component_from_func(get_iris_data, base_image=\"python:3.9.16-slim-buster\", packages_to_install=['m... | 2023-04-21T10:53:45 | 2023-04-26T08:38:37 | 2023-04-26T08:38:01 | NONE | null | ### Environment
* KFP version:
```
kfp==1.8.19
kfp-pipeline-spec==0.1.16
kfp-server-api==1.8.5
```
* All dependencies version:
```
mlflow==2.1.1
```
### Steps to reproduce
I have Kubeflow 1.6 installed in Openshift. I ran Python code in my Jupyter Notebook Server:
```
import boto3
import os
im... | {
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"Hi @tleewongjaro-agoda,\r\n\r\nThe issue you reported has been resolved by https://github.com/kubeflow/pipelines/pull/9191. This fix will be included in the upcoming SDK release.\r\n"
] | 2023-04-21T08:40:53 | 2023-04-27T22:41:27 | 2023-04-27T22:41:27 | NONE | null | ### Environment
* KFP version:
1.6 (running 2.0.0-beta.1 pipeline API & UI)
* KFP SDK version:
`kfp==2.0.0b14`
### Steps to reproduce
Submit recurring run using latest SDK
```
client.create_recurring_run(
experiment_id = experiment.experiment_id,
job_name=job_name,
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"Root cause:\r\nThe [release version bump commit](https://github.com/kubeflow/pipelines/commit/e0529fe26b6339cd6751e24c7a9de48e7f6bfeef#diff-1b30bb544271e89f85d733a39a8501d08a651fd9e0c1e3d10c52655f1dc89e7a) changed the type of `pipeline_spec`\r\n
print(
client.get_pipeline_version('e9b08c24-7ea5-46f9-b06e-b4a9c4... | {
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"`kubernetes_resource_delete_op` along with `VolumeOp` are deprecated in v2, and replaced by `kubernetes.DeletePVC`. \r\nPlease checkout out the v2 doc on how to use it: https://www.kubeflow.org/docs/components/pipelines/v2/platform-specific-features/#example-readwrite-to-a-kubernetes-pvc-using-kfp-kubernetes",
"... | 2023-04-19T12:51:40 | 2023-07-17T16:53:34 | null | NONE | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
<!-- /area backend -->
/area sdk
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
Allow SDK users to override the default image used in `VolumeOp.delete(... | {
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"/assign @chensun ",
"Hi @connor-mccarthy has there been any update on this ?",
"@arun-vc, can you try upgrading to the latest version of the KFP SDK (2.0.0-rc.2) and KFP BE (2.0.0-rc.1) and see if this error persists?",
"This issue has been automatically marked as stale because it has not had recent activity... | 2023-04-19T10:58:08 | 2023-09-11T07:41:30 | null | NONE | null | ### Environment
* KFP version:
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
[2.0.0-alpha.5](https://github.com/kubeflow/pipelines/tree/2.0.0-alpha.5/manifests/kustomize)
* KFP SDK version:
<!-- Specify the version o... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9162 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9162/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9162/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9162/events | https://github.com/kubeflow/pipelines/issues/9162 | 1,671,736,378 | I_kwDOB-71UM5jpKw6 | 9,162 | [chore] Migrate tests that use deprecated namespace in KFP SDK | {
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"followers_url": "https://api.githu... | null | [] | 2023-04-17T18:24:06 | 2023-07-25T17:13:48 | null | MEMBER | null | ### What feature would you like to see?
- [ ] We need to migrate v2 tests that use `kfp.deprecated` namespace to use v2 KFP SDK
- [ ] Enable separate testing for v1 API using v1 KFP SDK
### Is there a workaround currently?
We currently enforce installing compatible `kfp` and `kfp-server-api` packages in order... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9160 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9160/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9160/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9160/events | https://github.com/kubeflow/pipelines/issues/9160 | 1,671,327,168 | I_kwDOB-71UM5jnm3A | 9,160 | [sdk] Volumes with kfp-kubernetes - no such file or directory | {
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"/assign @Linchin ",
"Hi @b4sus, thank you so much for bringing this up! This is an known issue and is fix by #9150. Just as you said, using `emptyDir` clears the pvc every time a task finishes. Now we are using [persistentVolumeClaim](https://kubernetes.io/docs/concepts/storage/volumes/#persistentvolumeclaim) in... | 2023-04-17T14:31:18 | 2023-04-20T23:02:57 | 2023-04-20T23:02:56 | CONTRIBUTOR | null | ### Environment
* KFP version:
2.0.0.beta.1
* KFP SDK version:
2.0.0b14
* All dependencies version:
kfp 2.0.0b14
kfp-kubernetes 0.0.1
kfp-pipeline-spec 0.2.2
kfp-server-api 2.0.0b1
### Steps to reproduce
Following the [readme](https://github.com/kub... | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions."
] | 2023-04-17T08:16:31 | 2023-08-10T07:41:26 | null | NONE | null | Hello, I'm using python sdk `kfp==1.8.20`.
I want to pass in list of packages to install for container as pipeline parameter.
Here is the core version of my code.
```
@dsl.pipeline(name="pipeline")
def pipeline(mysql_packages_to_install: list = ["mysql-connector-python==8.0.31"]):
op_task = create_comp... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9158 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9158/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9158/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9158/events | https://github.com/kubeflow/pipelines/issues/9158 | 1,668,994,001 | I_kwDOB-71UM5jetPR | 9,158 | [backend] <Sample Pipeline not consuming input IAM role parameter> | {
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* How did you deploy Kubeflow Pipelines (KFP)?
EKS 1.25 Kustomize
* KFP version:
v1.7.0
* KFP SDK version:
v1
### Steps to reproduce
configure example pipeline per https://github.com/kubeflow/pipelines/tree/master/samples/contrib/aws-samples/simple_train_pipeline
Replace these pa... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9155 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9155/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9155/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9155/events | https://github.com/kubeflow/pipelines/issues/9155 | 1,667,957,282 | I_kwDOB-71UM5jawIi | 9,155 | Tensorboard pods unable to launch | {
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"/assign @zijianjoy ",
"Do you have any PodSecurityPolicy enforced in your cluster? KFP doesn't have restriction on pod deployment permission.\r\n\r\nReference: https://medium.com/@suruti94/debugging-k8s-podsecuritypolicy-related-issues-9730c90d9eff",
"@zijianjoy yeah psp is enabled and we have given permissio... | 2023-04-14T10:08:43 | 2023-08-10T07:41:28 | null | NONE | null | Tensorboard is unable to launch in user profile it throwing below error .do we need to give any permission to default service Account or any configmap changes we need to make . Presently we PSP in cluster default-editor has the permissions
ownerReferences:
- apiVersion: tensorboard.kubeflow.org/v1alpha1
bl... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9154 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9154/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9154/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9154/events | https://github.com/kubeflow/pipelines/issues/9154 | 1,667,257,734 | I_kwDOB-71UM5jYFWG | 9,154 | [backend] Validate pipeline arguments when submitting run from client | {
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"@Linchin is this already done?"
] | 2023-04-13T23:04:13 | 2023-08-04T23:03:15 | null | MEMBER | null | Currently, it is possible to submit a pipeline run without the required pipeline arguments and there is no backend validation.
Reported by: @connor-mccarthy
/cc @chensun @Linchin
---
<!-- Don't delete message below to encourage users to support your feature request! -->
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https://api.github.com/repos/kubeflow/pipelines/issues/9147 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9147/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9147/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9147/events | https://github.com/kubeflow/pipelines/issues/9147 | 1,666,597,331 | I_kwDOB-71UM5jVkHT | 9,147 | [bug] NCCL Error configurations in tasks, anyway to expose shm options in a task? | {
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"@hilcj, could you PTAL?\r\n\r\n/assign @hilcj",
"I am experiencing the same problem in Vertex AI Pipelines. Have you been able to create a workaround for this issue?",
"Yes @arturnn, I ditched this approach by using the gcp components for example:\r\n\r\n\r\nif you are using a python component\r\n```\r\nimport... | 2023-04-13T14:57:14 | 2023-08-11T14:27:16 | null | MEMBER | null | ### Environment
* How do you deploy Kubeflow Pipelines (KFP)?
Vertex AI Pipelines
* KFP SDK version:
$ kfp --version
kfp 2.0.0-beta.13
### Steps to reproduce
Hi kubeflow pipelines team, I am using Vertex AI Pipelines to train detection models, and a since today my pipelines are failing due to a NCCL er... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9137 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9137/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9137/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9137/events | https://github.com/kubeflow/pipelines/issues/9137 | 1,663,018,146 | I_kwDOB-71UM5jH6Si | 9,137 | [CVE] Resolve critical CVEs in KFP v1.8 | {
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"Closing this as we have released KFP v2.0.0"
] | 2023-04-11T18:35:17 | 2023-08-04T23:02:01 | 2023-08-04T23:02:01 | MEMBER | null | List of CVEs:
- [x] #8153
- [x] #8154
- [x] #8155
- [ ]
---
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"Closing this as we have released KFP v2.0.0"
] | 2023-04-11T18:27:06 | 2023-08-04T23:02:42 | 2023-08-04T23:02:42 | MEMBER | null | The list of discovered CVEs:
- [x] #8786
- [ ]
---
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"Hi @Sim4n6,\r\n\r\nThank you for a suggestion. We need to create a separate issue in [kubeflow/kubeflow](https://github.com/kubeflow/kubeflow) repository to enable this feature on the org-level.\r\n\r\nAs a temporary solution, you can report the CVE in the slack channel to the owners of KFP repo. You can check the... | 2023-04-09T22:25:51 | 2023-05-03T03:08:39 | 2023-04-13T22:51:02 | NONE | null | I may have identified a vulnerability in the latest codebase of kubeflow/pipelines.
I would like to submit the security report privately using the [GitHub Private Vulnerability Reporting](https://docs.github.com/en/code-security/security-advisories/repository-security-advisories/configuring-private-vulnerability-rep... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9126 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9126/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9126/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9126/events | https://github.com/kubeflow/pipelines/issues/9126 | 1,659,991,753 | I_kwDOB-71UM5i8XbJ | 9,126 | [frontend] Newly created v2beta1 recurring run has status DISABLED | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9125 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9125/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9125/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9125/events | https://github.com/kubeflow/pipelines/issues/9125 | 1,659,979,776 | I_kwDOB-71UM5i8UgA | 9,125 | [backend] Newly created v2beta1 recurring run has status DISABLED | {
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Relevant FE issue: #9126
### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Standalone
* KFP version:
master branch
### Steps to reproduce
1. Create a `v2beta1` recurring run and set Mode = ENABLED via UI
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https://api.github.com/repos/kubeflow/pipelines/issues/9119 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9119/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9119/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9119/events | https://github.com/kubeflow/pipelines/issues/9119 | 1,659,001,168 | I_kwDOB-71UM5i4llQ | 9,119 | [backend] failure to run pipeline OCI runtime create failed: runc create failed: unable to start container process: exec: "/var/run/argo/argoexec": stat /var/run/argo/argoexec: no such file or | {
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"Hi @amybachir,\r\n\r\nCould you please clarify witch backend version are you using for the standalone deployment?",
"@amybachir I had a similar issue and I migrated the emissary executor following these instructions and it worked \r\nhttps://www.kubeflow.org/docs/components/pipelines/v1/installation/choose-execu... | 2023-04-07T16:55:21 | 2023-06-21T18:22:43 | null | NONE | null | All pipeline runs fail with the following error message:
```
Error: failed to start container "main": Error response from daemon: failed to create shim task: OCI runtime create failed: runc create failed: unable to start container process: exec: "/var/run/argo/argoexec": stat /var/run/argo/argoexec: no such file or ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9113 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9113/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9113/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9113/events | https://github.com/kubeflow/pipelines/issues/9113 | 1,657,857,232 | I_kwDOB-71UM5i0OTQ | 9,113 | [sdk] UnboundLocalError: local variable 'artifact_class' referenced before assignment | {
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"Hmm, looking at the unit tests, it looks like there should be coverage for this case. I wonder why it's not catching the issue here\r\n\r\nhttps://github.com/kubeflow/pipelines/blob/91fe29f099f663794a1218ee204369c8c454b8d4/sdk/python/kfp/components/types/custom_artifact_types_test.py#L97-L104",
"This issue has b... | 2023-04-06T18:18:30 | 2023-08-11T07:41:43 | null | NONE | null | ### Environment
* KFP version:
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP SDK version: 2.0.0-beta.13
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https://api.github.com/repos/kubeflow/pipelines/issues/9110 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9110/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9110/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9110/events | https://github.com/kubeflow/pipelines/issues/9110 | 1,656,965,652 | I_kwDOB-71UM5iw0oU | 9,110 | [backend] Argo Workflows is Using Legacy Pod Patches | {
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"Assign @Linchin to fix this issue by adding RBAC permission to aggregate-to-kubeflow-pipelines-edit. \r\n\r\ncc @gkcalat ",
"I did face the same problem in Kubeflow 1.7.0. Thank you @zijianjoy for looking into it.",
"Hi @TobiasGoerke, thank you so much for reporting the issue! I found the place to add the per... | 2023-04-06T09:01:45 | 2023-08-28T20:58:23 | null | NONE | null | When executing any pipeline, the following lines are logged in the `wait` container:
```
# ...
time="2023-04-06T07:58:47.339Z" level=info msg="Create workflowtaskresults 403"
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https://api.github.com/repos/kubeflow/pipelines/issues/9108 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9108/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9108/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9108/events | https://github.com/kubeflow/pipelines/issues/9108 | 1,656,266,234 | I_kwDOB-71UM5iuJ36 | 9,108 | [sdk] set_timeout ignored in component in kfp pipeline | {
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"In KFP 1.8, this feature is removed for v2 syntax.\r\n\r\ncc @chensun to give more information.",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions."
] | 2023-04-05T20:43:02 | 2023-08-12T07:41:45 | null | NONE | null | ### Environment
* KFP version: 1.8.19
* KFP SDK version: We are using with GCP Vertex AI Interface
* All dependencies version:
kfp 1.8.19 pypi_0 pypi
kfp-pipeline-spec 0.1.16 pypi_0 pypi
kfp-server-api 1.8.4 ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9102 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9102/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9102/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9102/events | https://github.com/kubeflow/pipelines/issues/9102 | 1,654,328,289 | I_kwDOB-71UM5imwvh | 9,102 | [feature] Add environment variables support for ContainerSpec when definining Container Component in v2 | {
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"@juansebashr, is this issue resolved via the [`.set_env_variable`](https://kubeflow-pipelines.readthedocs.io/en/2.0.0b13/source/dsl.html#kfp.dsl.PipelineTask.set_env_variable) task [configuration method](https://www.kubeflow.org/docs/components/pipelines/v2/pipelines/pipeline-basics/#task-configurations)?\r\n\r\nI... | 2023-04-04T18:01:16 | 2023-04-06T22:56:56 | 2023-04-06T22:56:56 | NONE | null | ### Feature Area
area sdk
### What feature would you like to see?
Add environment variables support to the ContainerSpec class when defining a container_component in v2 code improving reusability on the container components. Is odd that is not implemented because is a fairly easy change of [code](https://githu... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9100 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9100/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9100/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9100/events | https://github.com/kubeflow/pipelines/issues/9100 | 1,653,491,743 | I_kwDOB-71UM5ijkgf | 9,100 | [backend] <Artifacts are not accepted as pipeline Parameters> | {
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"\r\n```\r\nTraceback (most recent call last):\r\n File \"C:\\Users\\shuaimin.wu\\GCP_AI\\mlops-vertexai\\gcp_ai_mlops_accelerator\\utils\\compile-pipeline.py\", line 146, in <module>\r\n compile(args.pipeline_type, pipeline_filename)\r\n File \"C:\\Users\\shuaimin.wu\\GCP_AI\\mlops-vertexai\\gcp_ai_mlops_acce... | 2023-04-04T09:10:39 | 2023-04-06T22:49:19 | 2023-04-06T22:49:06 | NONE | null | ### Environment
google-cloud-aiplatform==1.11.0
google-cloud-bigquery==1.0.20
google-cloud-pipeline-components==1.0.20
google-api-core==1.32.0
* How did you deploy Kubeflow Pipelines (KFP)?
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"I traced the location of the the missing backticks and created a [pull request](https://github.com/kubeflow/pipelines/pull/9093)",
"Good catch, we should be escaping all BQ tables with backticks in these queries. I will fix in the pipeline definition that generates this pipeline. Otherwise your fix will be overw... | 2023-04-03T11:00:55 | 2023-08-12T07:41:47 | null | NONE | null | ### Environment
Error is related to how a query is formatted for passing to BigQuery.
### Steps to reproduce
Use the prebuilt pipeline at: https://github.com/kubeflow/pipelines/blob/master/components/google-cloud/google_cloud_pipeline_components/experimental/automl/forecasting/prophet_predict_pipeline.yaml
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* How did you deploy Kubeflow Pipelines (KFP)?
Standalone KFP from master
* KFP SDK version:
2.0.0-beta.13
### Steps to reproduce
1. Create a pipeline version with `.set_memory_limit(A).set_memory_request(B).set_cpu_limit(C).set_cpu_request(D)`
2. Create a run from the pipeline
3. Che... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9081 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9081/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9081/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9081/events | https://github.com/kubeflow/pipelines/issues/9081 | 1,649,892,441 | I_kwDOB-71UM5iV1xZ | 9,081 | [sdk] Python SDK incompatible with other kubeflow operators | {
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"@zijianjoy @chensun @connor-mccarthy ",
"@ryansteakley, I believe this will be fixed by https://github.com/kubeflow/pipelines/pull/9060. WDYT?",
"looks good sorry didnt see this, this will be in the next release?",
"@ryansteakley, yes, it will be.",
"Closing this item because it is included in v1.8.20. Fe... | 2023-03-31T19:19:42 | 2023-04-06T22:57:56 | 2023-04-06T22:57:56 | CONTRIBUTOR | null | ### Environment
* KFP version: 2.0.0-alpha.7
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP SDK version: 1.8.19
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https://api.github.com/repos/kubeflow/pipelines/issues/9078 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9078/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9078/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9078/events | https://github.com/kubeflow/pipelines/issues/9078 | 1,649,847,532 | I_kwDOB-71UM5iVqzs | 9,078 | [feature] Support TASK_FINAL_STATUS field | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions."
] | 2023-03-31T18:41:50 | 2023-08-13T07:41:44 | null | MEMBER | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
/area backend
<!-- /area sdk -->
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
Support TASK_FINAL_STATUS as added in https://github.com/kubeflow/pip... | {
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] | 2023-03-31T08:48:21 | 2023-04-06T22:45:49 | 2023-04-06T22:45:49 | NONE | null | ### Environment
* KFP version:
$pip list | grep kfp -->
kfp 1.8.19
kfp-pipeline-spec 0.1.16
kfp-server-api 1.6.0
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions."
] | 2023-03-30T14:27:54 | 2023-08-26T07:41:39 | null | NONE | null | ### Feature Area
/area sdk
### What feature would you like to see?
The value for gcpc's model_deploy's input param endpoint is [true for `optional`](https://github.com/kubeflow/pipelines/blob/c32868c2fd9fd2a5ce375484408503a56d7fdf50/components/google-cloud/google_cloud_pipeline_components/v1/endpoint/deploy_... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9062 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9062/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9062/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9062/events | https://github.com/kubeflow/pipelines/issues/9062 | 1,646,849,446 | I_kwDOB-71UM5iKO2m | 9,062 | [frontend] Flaky integration test for changing input parameter | {
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The test should be always passed. However, It keep failing currently.
Change the parameter from `testValue` to `defaultValue` first to make the test pass, will investigate later on.
Part of #9001 | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9055 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9055/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9055/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9055/events | https://github.com/kubeflow/pipelines/issues/9055 | 1,643,449,030 | I_kwDOB-71UM5h9QrG | 9,055 | [feature] Setting name for worker in dsl.ParallelFor | {
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"@zanelliriccardo Can you share which pipeline you were running (KFP or vertex pipeline)? Because it might be related to backend changes.",
"> @zanelliriccardo Can you share which pipeline you were running (KFP or vertex pipeline)? Because it might be related to backend changes.\r\n\r\nvertex pipeline",
"@jlyao... | 2023-03-28T08:24:31 | 2023-07-05T17:19:20 | null | NONE | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
<!-- /area backend -->
<!-- /area sdk -->
<!-- /area samples -->
area components
### What feature would you like to see?
<!-- Provide a description of this feature and the user experience. -->... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9049 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9049/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9049/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9049/events | https://github.com/kubeflow/pipelines/issues/9049 | 1,642,866,985 | I_kwDOB-71UM5h7Ckp | 9,049 | docs(migration): Update deployment doc with callout that users can continue use v1 SDK with v2 deployment. | {
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"Published at the top of: https://www.kubeflow.org/docs/components/pipelines/v2/migration/"
] | 2023-03-27T21:50:23 | 2023-04-04T17:52:14 | 2023-04-04T17:52:14 | COLLABORATOR | null | null | {
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"I'd be happy to help create this function.",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions."
] | 2023-03-23T16:32:23 | 2023-08-26T07:41:41 | null | NONE | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
<!-- /area backend -->
sdk
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
A Python function that generates the executor input, given the compon... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9033 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9033/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9033/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9033/events | https://github.com/kubeflow/pipelines/issues/9033 | 1,637,649,257 | I_kwDOB-71UM5hnItp | 9,033 | [sdk] High Risk CVE with Kubernetes library inside KFP SDK | {
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"We are also impacted by this. Is there any feedback regarding this issue?",
"This will be released in 1.8.20: https://github.com/kubeflow/pipelines/blob/17cdf6b60e1a433e45706c1891b73c068d7413e8/sdk/RELEASE.md#bug-fixes-and-other-changes. Closing, as source code is checked in.",
"> This will be released in 1.8.... | 2023-03-23T14:22:48 | 2023-04-06T21:59:46 | 2023-03-29T23:35:21 | NONE | null | ### Environment
* KFP version: 1.8.2
* KFP SDK version: 1.8.19
* All dependencies version:
* kfp 1.8.19
* kfp-pipeline-spec 0.1.16
* kfp-server-api 1.8.5
### Steps to reproduce
The library kubernetes version <20 (specifically 19.15.0) was detected in KF... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9032 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9032/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9032/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9032/events | https://github.com/kubeflow/pipelines/issues/9032 | 1,637,314,253 | I_kwDOB-71UM5hl27N | 9,032 | Hardcoded image makes it impossible to run pipelines that 1) require custom dependencies 2) have no open internet access due to Organisational policies. | {
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"It makes sense to me to support parameterize container image. I assume you're proposing a SDK compiler fix to support the above code? If so, please feel free to open a PR. Thanks!",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity... | 2023-03-23T11:10:59 | 2023-08-26T07:41:43 | null | NONE | null | As per the title, hardcoding images URIs make it impossible to run components that require custom dependencies.
For instance, [the DataflowPythonJobOp](https://github.com/kubeflow/pipelines/blob/707916413554be053726bc32f0140021910b0844/components/google-cloud/google_cloud_pipeline_components/v1/dataflow/python_job/c... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9031 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9031/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9031/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9031/events | https://github.com/kubeflow/pipelines/issues/9031 | 1,637,192,216 | I_kwDOB-71UM5hlZIY | 9,031 | [feature] How to save kubeflow logs in GCP Stackdriver Monitoring for specific interval of time (like 3 months, 6 months) etc ? | {
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"The documentation at https://cloud.google.com/stackdriver/docs/solutions/gke/using-logs should include instructions on how to access and view logs for GKE.",
"@zijianjoy Do kubeflow delete logs from Stackdriver monitoring as well ? Because this is not working and giving zero records for recent runs. \r\n<img wid... | 2023-03-23T09:52:08 | 2023-08-26T07:41:45 | null | NONE | null | Hi folks , I need to save Kubeflow pipeline logs in GCP Stackdriver Monitoring for specific interval of time (like 3 months, 6 months) etc. How can I can I achieve something like that ? Any configurations that I need to change ?
As of now I get the below error prompt:
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"title": "KFP 2.0.0-b... | [] | 2023-03-20T22:10:34 | 2023-03-28T19:18:45 | 2023-03-28T19:18:44 | COLLABORATOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
N/A
* KFP version:
Beta 0
* KFP SDK version:
N/A
Currently, the backend API V2 accepts pipeline spec as a struct (see [here](https://github.com/kubeflow/pipelines/blob/cc30d1aa85eb25fb20a6d2531956b99e5a9ec04d/backend/api/v2beta1/run.proto#... | {
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"title": "KFP 2.0... | [] | 2023-03-20T16:23:24 | 2023-04-10T23:35:57 | 2023-04-10T23:35:57 | COLLABORATOR | null | V1 one-off run with `ApiParameter`
<img width="1497" alt="Screenshot 2023-03-17 at 2 00 55 PM" src="https://user-images.githubusercontent.com/56132941/226404076-8a18b9fc-9c90-4987-90c3-18def876a96d.png">
V1 recurring run from same pipeline is missing `ApiParameter`
![Screenshot 2023-03-20 at 9 20 30 AM](https://... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9011 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9011/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9011/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9011/events | https://github.com/kubeflow/pipelines/issues/9011 | 1,631,728,896 | I_kwDOB-71UM5hQjUA | 9,011 | [sdk] Not able to install GCP artifact registry python package using pip_index_urls parameter in component | {
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"```@component(pip_index_urls = [\"https://location-python.pkg.dev/project-id/repo-name/simple/ package_name==1.0.0\"],base_image=\"python:3.9\")```\r\nshould probably be => \r\n```@component(pip_index_urls=[\"https://location-python.pkg.dev/project-id/repo-name/simple/], packages_to_install=[\"package_name==1.0.0\... | 2023-03-20T09:38:16 | 2023-05-12T22:36:31 | 2023-05-12T22:36:31 | NONE | null | * KFP SDK version: 1.8.19
Hi folks
I need to install a private package from gcp artifact registry using pip_index_urls of the @component decorator in Kubeflow pipeline which is on GCP cluster. My index url looks like this =>
pip_index_urls = ["https://location-python.pkg.dev/project-id/repo-name/simple/ packag... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9008 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9008/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9008/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9008/events | https://github.com/kubeflow/pipelines/issues/9008 | 1,629,951,773 | I_kwDOB-71UM5hJxcd | 9,008 | [backend] The ApiParameter in v1 run should store in v2 runtime config. | {
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"In V1 API, the `apiParameter` field is `{string: string}` value pair: https://www.kubeflow.org/docs/components/pipelines/v1/reference/api/kubeflow-pipeline-api-spec/#/definitions/apiParameter.\r\n\r\nIn V2 API, the runtime config is `{string: protobufValue}` pair: https://github.com/kubeflow/pipelines/blob/master/... | 2023-03-17T21:37:56 | 2023-03-20T16:24:55 | 2023-03-20T16:24:55 | COLLABORATOR | null | In v1 run, we use `APIParameter` in `pipeline_spec` to store the parameters. After introducing runtime_config concept in v2 run, we have to store the parameters into `RuntimeParameter` in `runtime_config`.
Note: The change is also needed in recurring run.
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https://api.github.com/repos/kubeflow/pipelines/issues/9005 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9005/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9005/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9005/events | https://github.com/kubeflow/pipelines/issues/9005 | 1,629,484,791 | I_kwDOB-71UM5hH_b3 | 9,005 | [sdk] One can't set environment on v2 YamlComponent | {
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"I have updated SDK version to 2.0.0b13, and the problem was solved. Also, to manage runtime environment variables, it is possible to manage PipelineTask setters:\r\n```python\r\n@dsl.pipeline(\r\n name='filewriter-pipeline',\r\n pipeline_root=PIPELINE_ROOT\r\n)\r\ndef workflow(text: str):\r\n filewriter_o... | 2023-03-17T15:13:28 | 2023-03-17T20:27:45 | 2023-03-17T20:27:44 | NONE | null | ### Environment
* Python Version: 3.10.6
* PIP Version: 22.3.1 (with Pipenv 2022.12.19)
* KFP version: kfp 2.0.0b12
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP SDK version: kfp 2.0.0b12
<!-- Specify the versi... | {
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"I think the same error was brought up in #8256, and fixed in #8287. Maybe you can upgrade the backend and see if the error persist? The fix is included from 2.0.0-alpha.5 onwards. I will close the issue for now, but feel free to reopen if upgrade doesn't work."
] | 2023-03-17T09:20:10 | 2023-03-24T20:12:20 | 2023-03-24T20:12:20 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Kubeflow deployed using Kubeflow manifests repo to Azure Kubernetes cluster
* KFP version:
2.0.0-alpha3
* KFP SDK version:
1.8.19
### Steps to reproduce
Calling `read_artifact` on `client.runs`, similar to [this issue](https... | {
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"Replied in https://github.com/kubeflow/pipelines/pull/8998#issuecomment-1473287386, and we should probably continue the discussion here, as it likely can't be solved by SDK alone.\r\n\r\n> A common user experience is creating a recurring run then validating it works as expected by creating a run.\r\n\r\nI wonder i... | 2023-03-16T16:00:23 | 2023-08-26T07:41:47 | null | CONTRIBUTOR | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
<!-- /area backend -->
/area sdk
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
<!-- Provide a description of this feature and the user experience. -->... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8996 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8996/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8996/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8996/events | https://github.com/kubeflow/pipelines/issues/8996 | 1,627,055,391 | I_kwDOB-71UM5g-uUf | 8,996 | [sdk] No support for filtering on unrecognized field finished_at | {
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"In this [PR](https://github.com/kubeflow/pipelines/pull/8662), I can see that `finished_at` was added to this [FieldMap](https://github.com/kubeflow/pipelines/blob/master/backend/src/apiserver/model/run.go#L360).\r\n\r\nShould it have also been added to this [mapping](https://github.com/kubeflow/pipelines/blob/mas... | 2023-03-16T09:33:33 | 2023-03-23T22:45:47 | 2023-03-23T22:45:46 | NONE | null | ### Environment
* KFP version:
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
2.0.0-alpha.5
* KFP SDK version:
Python SDK version: `2.0.0b13`
* All dependencies version:
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https://api.github.com/repos/kubeflow/pipelines/issues/8994 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8994/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8994/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8994/events | https://github.com/kubeflow/pipelines/issues/8994 | 1,626,449,888 | I_kwDOB-71UM5g8afg | 8,994 | [backend] Unable to Build APIServer image locally | {
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"> Get \"https://proxy.golang.org/github.com/%21masterminds/squirrel/@v/v0.0.0-20190107164353-fa735ea14f09.mod\": dial tcp: lookup proxy.golang.org on 192.168.65.5:53: read udp 172.17.0.3:49039->192.168.65.5:53: i/o timeout\r\n\r\nThis seems to me it could be a temporary outage from golang server. Can you try build... | 2023-03-16T00:01:23 | 2023-03-16T22:49:38 | 2023-03-16T22:49:38 | CONTRIBUTOR | null | ### Environment
Branch used `2.0.0-alpha.7`
* How did you deploy Kubeflow Pipelines (KFP)?
AWS Kubeflow Distro v1.6.1
k8s v1.22
* KFP version:
1.6.1
### Steps to reproduce
I was following this to build the image:
https://github.com/kubeflow/pipelines/tree/master/backend#building-apiserver-image-locally
I... | {
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"Error:\r\n\r\n",
"```\r\n---------------------------------------------------------------------------\r\nParserError Traceback (most recent cal... | 2023-03-15T20:38:40 | 2023-08-26T07:41:49 | null | NONE | null | ### Environment
<!-- Please fill in those that seem relevant. -->
* How do you deploy Kubeflow Pipelines (KFP)?
* On vertex AI pipelines
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP version: 1.8.19
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https://api.github.com/repos/kubeflow/pipelines/issues/8991 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8991/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8991/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8991/events | https://github.com/kubeflow/pipelines/issues/8991 | 1,625,593,337 | I_kwDOB-71UM5g5JX5 | 8,991 | CustomTrainingJobOp: Failed to parse the container spec json payload to requested prototype. | {
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"@bertChristiaens1, it looks like you're using KFP SDK 2.x.x with GCPC 1.x.x, while GCPC 1.x.x requires KFP SDK 2.x.x.\r\n\r\nCan you try with GCPC 2.x.x? Please re-open if you continue to face this error."
] | 2023-03-15T14:02:36 | 2023-03-16T22:42:10 | 2023-03-16T22:42:10 | NONE | null | ### Environment
<!-- Please fill in those that seem relevant. -->
* How do you deploy Kubeflow Pipelines (KFP)?
I am using Vertex AI with the v2 python SDK (kfp==2.0.0b12), together with the `google-cloud-pipeline-components==1.0.33` library, compile the pipeline and run it with aiplatform.run().
* KFP versio... | {
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"Hi @b4sus, which Python version are you using? I think this might be a known incompatibility issue with Python 3.11, and we have a fix that should be available in the next SDK release.",
"Hey @chensun , I am indeed using 3.11.\r\nI've just tried 3.10 as base image, the behavior was the same - all errors.\r\nI do... | 2023-03-15T12:39:44 | 2023-08-26T07:41:51 | null | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Manifest installation replacing alpha.6 with beta.0
* KFP version:
2.0.0-beta.0
* KFP SDK version:
kfp 2.0.0b13
kfp-pipeline-spec 0.2.0
kfp-server-api 2.0.0a6
### Steps to reproduce
Simple pipeline ... | {
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"Hi @ketangangal, which KFP version/deployment means are you using? And how did you hit this error? Is there a specific pipeline you're running?",
"@chensun \r\nKfp Pipeline Version : 1.8.0 \r\nInstallation Method: Kustomise \r\n\r\nWe have a setup of multiple gpu and cpu nodes. When i hit run training sometimes ... | 2023-03-15T04:55:09 | 2023-05-22T07:25:38 | 2023-05-22T07:25:38 | NONE | null | I am getting this error :
```
This step is in Error state with this message: Error (exit code 1): failed to put file:
Get "http://minio-service.kubeflow:9000/mlpipeline/?location=": dial tcp 100.68.6.113:9000: i/o timeout
```
Restarting the Kfp pods under kubeflow namespace -> did not work [ same error ]
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"k8s v1.21.3, kf pipeline 1.8.5\r\nSame issue. It's because of `enableServiceLinks: false`. Which env is missing?",
"@chensun @woof seems like I ha... | 2023-03-14T10:40:29 | 2023-06-29T06:09:00 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
=> Using Kustomize method
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* KFP version:
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] | 2023-03-13T06:45:39 | 2023-08-26T07:41:53 | null | NONE | null | Add enable caching option while running pipeline form kubeflow UI. Currently enable caching is not present in kubeflow UI while running pipeline. | {
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] | 2023-03-10T01:12:38 | 2023-08-26T07:41:56 | null | MEMBER | null | When status-IR will be fully implemented and ready to be consumed by the Frontend we need to:
1. Implement visualization using Status-IR
2. Remove MLMD client and migrate to calling api-server
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] | 2023-03-10T01:10:01 | 2023-08-26T07:41:58 | null | MEMBER | null | KFP Frontend calls MLMD directly to retrieve information such as execution status, context, artifacts, etc.
As status-IR provides status information and includes MLMD-related keys, we can provide an interface to retrieve the same information via api-server.
---
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] | 2023-03-10T01:06:33 | 2023-08-26T07:42:00 | null | MEMBER | null | KFP Frontend server currently calls MLMD to retrieve status information (as well as artifacts and other information).
As status-IR includes DAG and status information, persistence agent needs to be able to call MLMD and update the status via api-server's call.
---
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"This has been completed by #8850 "
] | 2023-03-10T00:51:56 | 2023-03-10T01:16:19 | 2023-03-10T00:52:51 | MEMBER | null | Status information has beed added to `run.proto` in KFP v2 API (ref. #8960)
We need to implement functionality to fill the information and store the data in the backend database.
---
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"This has been completed by #8533"
] | 2023-03-10T00:48:11 | 2023-03-10T01:16:16 | 2023-03-10T00:49:52 | MEMBER | null | KFP UI currently uses workflow and pipeline manifests of string types to obtain status of each node in the execution graph.
While status information is outside of scope of the `pipelinespec` package, we need to provide a native support for this feature in KFP v2 API.
---
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"title": "KFP 2.0.0-b... | [] | 2023-03-10T00:40:22 | 2023-04-18T20:08:04 | 2023-04-18T20:08:04 | MEMBER | null | KFP platform-specific specification design has been extended to include `nodeSelector`.
This needs appropriate handling in KFP backend.
---
<!-- Don't delete message below to encourage users to support your feature request! -->
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https://api.github.com/repos/kubeflow/pipelines/issues/8957 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8957/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8957/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8957/events | https://github.com/kubeflow/pipelines/issues/8957 | 1,618,048,865 | I_kwDOB-71UM5gcXdh | 8,957 | [frontend] Render metrics-related info in RunList if is needed. | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions."
] | 2023-03-09T21:57:39 | 2023-08-26T07:42:03 | null | COLLABORATOR | null | ### What is the issue.
In KFP v2 API, we remove `RunMetric` field in run proto, which lead to the removal of related columns in the run list pages. In the future, we can consider use other method to render these information if it is needed.
Ref:
https://github.com/kubeflow/pipelines/pull/8963
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* How did you deploy Kubeflow Pipelines (KFP)?
KFP standalone from master
### Steps to reproduce
1. Create a pipeline and multiple pipeline versions
2. Call listPipelines (v1)
3. Result includes multiple pipelines with default pipeline versions (one pipeline per each version)
### Expec... | {
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"/CC @jlyaoyuli "
] | 2023-03-08T21:49:47 | 2023-03-09T01:28:09 | 2023-03-09T01:28:09 | MEMBER | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
KFP standalone from master
* KFP SDK version:
kfp==2.0.0-b13
### Steps to reproduce
1. Submit **runA** via **UI** with referencing `pipeline_version_id` of and existing pipeline version and **runB** via **SDK** by providing `pipeline_spec... | {
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"@b4sus, thank you for reporting. This should be resolved. Please, test out the next release (`2.0.0-beta.2`) and reopen this issue if it persists. Thank you!"
] | 2023-03-08T16:00:44 | 2023-05-05T00:12:45 | 2023-05-04T23:53:25 | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
From manifests, using version beta.0 images instead of alpha.6
* KFP version:
2.0.0-beta.0
* KFP SDK version:
2.0.0b12 (but it is irrelevant I think for this)
### Steps to reproduce
Apply `ml-pipeline` deployment on a cluster where ther... | {
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"Found the same Vulnerabilities for scheduledworkflow pods as well\r\n\r\n```\r\nVulnerabilities\r\n===============\r\n CVE Package Version Severity Status CVSS\r\n --- ------- ------- -------- ------ ----\r\n CVE-2022-37... | 2023-03-08T03:14:05 | 2023-03-24T18:30:25 | 2023-03-24T18:30:25 | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
KFP is deployed via a 'full kubeflow deployment' on AWS
* KFP version:
1.6.1
### Steps to reproduce
A security scanning tool running against our kubeflow cluster detected that the persistenceagent pod is vulnerable
```
Vulnerabilities
==... | {
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"Some discussion in slack here\r\nhttps://kubeflow.slack.com/archives/CE10KS9M4/p1682550623548079?thread_ts=1682550623.548079&cid=CE10KS9M4",
"@connor-mccarthy @chensun just wondering where we are on this issue?\r\n\r\nI am seeing more users have this issue, even on Argo 3.3 (like in our Kubeflow 1.7 manifests). ... | 2023-03-08T01:32:33 | 2023-07-11T07:15:07 | null | MEMBER | null | ## Issue
When the `ServiceAccount` used by `argo-workflows` task Pods has the RBAC to create `WorkflowTaskResults` resources, argo-workflows will change how it stores task outputs and stores them in these CRDs (previously patched the Pod to store them in annotations).
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"Pipelines WG is working on a patch release on top of alpha6 which will also include another fix for sql logs issue(https://github.com/kubeflow/pipelines/pull/8941). They have limited bandwidth right now and considering the recent code refractor, release cycle timeframe, they are able to include only the first 3 it... | 2023-03-07T16:17:29 | 2023-03-09T23:42:12 | 2023-03-09T23:42:12 | CONTRIBUTOR | null | Hi @zijianjoy @chensun, I am opening this issue to request for releasing a patch on top of 2.0-alpha.6 instead of using 2.0-alpha.6 release for Kubeflow-1.7 release. [2.0-alpha6 was released 5 months ago](https://github.com/kubeflow/pipelines/releases/tag/2.0.0-alpha.6) which is in the same timeframe as [Kubeflow-1.6 r... | {
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"Are you calling `create_component_from_func` on the pipeline function `training_pipeline`? That method is expected to work on Python function not decorated via any kfp decorator (`dsl.component` or `dsl.pipeline`)\r\n\r\nAlso how did you get `UPLOAD_MODEL_OP`, is that from `upload_model` function shown above? and ... | 2023-03-07T10:52:48 | 2023-08-26T07:42:05 | null | NONE | null | ### Environment
* KFP version: 1.8.11
### Steps to reproduce
I have a Docker container component with the following yaml specification:
```
name: Training
description: <Component-Description>
inputs:
- {name: query_path, type: String}
- {name: config_path, type: String, optional: True, default: "c... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8935 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8935/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8935/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8935/events | https://github.com/kubeflow/pipelines/issues/8935 | 1,612,648,287 | I_kwDOB-71UM5gHw9f | 8,935 | [frontend] ui can't retrieve pod logs when using argo-workflows 3.4+ (`POD_NAMES` change) | {
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"Might be a duplicate of #8449 ",
"/assign @jlyaoyuli, FYI",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.",
"This is still a problem, bumping for bot."
] | 2023-03-07T03:27:16 | 2023-08-27T23:08:57 | null | MEMBER | null | Currently, if you upgrade to argo-workflows 3.4+, the log-retrieval function of the `ml-pipeline-ui` will not work, and the following error will be thrown: `Could not get main container logs: Error: Unable to retrieve workflow status: [object Object]`
This is because [argo-workflows 3.4 changed the default value of ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8934 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8934/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8934/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8934/events | https://github.com/kubeflow/pipelines/issues/8934 | 1,611,917,971 | I_kwDOB-71UM5gE-qT | 8,934 | chore(backend) Remove API dependency in backend apiserver's filter package | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8933 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8933/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8933/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8933/events | https://github.com/kubeflow/pipelines/issues/8933 | 1,610,008,929 | I_kwDOB-71UM5f9slh | 8,933 | Pipeline get stuck with string with \u character | {
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"same issue https://github.com/kubeflow/pipelines/issues/7283",
"@eavelardev, can you ensure that whatever string is being outputted is serializable by `json.dumps`? If so, it should be serializable by the executing BE.\r\n\r\nIf you can use `json.dumps` and are still experiencing runtime failures, please follow ... | 2023-03-05T01:07:59 | 2023-08-26T07:42:09 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
[Local Deployment](https://www.kubeflow.org/docs/components/pipelines/v1/installation/localcluster-deployment/#deploying-kubeflow-pipelines) - K3s on Windows Subsystem for Linux (WSL)
* KFP version:
1.8.5
* KFP SDK version:
```
kfp ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8930 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8930/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8930/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8930/events | https://github.com/kubeflow/pipelines/issues/8930 | 1,609,553,457 | I_kwDOB-71UM5f79Yx | 8,930 | [backend] Run API v2: A pipeline and/or pipeline version created when submit a run with pipeline spec | {
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"/CC @jlyaoyuli "
] | 2023-03-04T02:48:27 | 2023-03-08T21:32:00 | 2023-03-08T21:32:00 | MEMBER | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
standalone deployment from master
### Steps to reproduce
POST to `/apis/v2beta1/runs` with `pipeline_spec` as a `pipeline_source`.
1. A new run is created with a new PipelineId and PipelineVersionId
2. New pipeline and and pipeline version... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8913 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8913/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8913/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8913/events | https://github.com/kubeflow/pipelines/issues/8913 | 1,604,817,343 | I_kwDOB-71UM5fp5G_ | 8,913 | [sdk] PipelineJob.from_pipeline_func() fails when the pipeline function is imported in current file | {
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"@anifort `PipelineJob` is code from Vertex SDK, specifically the error stack you got is from\r\nhttps://github.com/googleapis/python-aiplatform/blob/c515510a2c474772d2ae0fc1e715f6c919d5aebb/google/cloud/aiplatform/pipeline_jobs.py#L973\r\n\r\nThis happens when Vertex SDK wraps on top of KFP SDK and makes assumptio... | 2023-03-01T11:48:46 | 2023-03-03T18:25:11 | 2023-03-03T18:25:11 | NONE | null | ** There is no issue when the pipeline function is in the same file as the file that runs PipelineJob.from_pipeline_func(). The issue appears when the pipeline function is imported from another file. In that case the pipeline funciton has no attribute .__name__ .
### Environment
* KFP version:
Vertex Pipelines
... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8912 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8912/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8912/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8912/events | https://github.com/kubeflow/pipelines/issues/8912 | 1,604,806,232 | I_kwDOB-71UM5fp2ZY | 8,912 | [feature] PipelineJob.from_pipeline_func does not allow you to set failure_policy | {
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"/assign @connor-mccarthy ",
"Thanks for raising this, @anifort. This pertains to the Vertex SDK. Can you open this as an Issue in https://github.com/googleapis/python-aiplatform?"
] | 2023-03-01T11:40:13 | 2023-03-03T00:02:05 | 2023-03-03T00:02:05 | NONE | null | ### Feature Area
/area sdk
### What feature would you like to see?
when running a pipelines using PipelineJob.from_pipeline_func , I want to be able to set the failure_policy to fast or slot. At the moment I cannot set the failure policy
### What is the use case or pain point?
to control the failure policy... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8906 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8906/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8906/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8906/events | https://github.com/kubeflow/pipelines/issues/8906 | 1,603,376,060 | I_kwDOB-71UM5fkZO8 | 8,906 | [sdk] json.decoder.JSONDecodeError using CustomContainerTrainingJobRunOp | {
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"/assign @connor-mccarthy ",
"I found a workaround\r\n\r\naiplatform 1.24.1\r\nkfp 1.8.22\r\ngoogle-cloud-pipeline-components 1.0.44\r\n\r\n```python\r\n@dsl.pipeline\r\ndef pipeline(train_job_args: str):\r\n training_op = gcc_aip.CustomContainerTrainingJobRunOp(\r\n ...\r\n args=train_job_args,\... | 2023-02-28T16:15:42 | 2023-07-21T15:52:46 | null | NONE | null | ### Environment
* KFP version:
VertexAI pipelines V2
* KFP SDK version:
1.8.19
* All dependencies version:
kfp 1.8.19
kfp-pipeline-spec 0.1.16
kfp-server-api 1.8.5
### Steps to reproduce
Use `google-cloud-pipeline-components` ve... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8902 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8902/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8902/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8902/events | https://github.com/kubeflow/pipelines/issues/8902 | 1,602,180,944 | I_kwDOB-71UM5ff1dQ | 8,902 | [backend] Missing check if state has changed for tasks and runs | {
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* How did you deploy Kubeflow Pipelines (KFP)?
KFP backend from master
### Steps to reproduce
Create a run and wait for it to finish
### Expected result
Run does not finish due to the `StateHistory` getting too long.
### Materials and Reference
```
I0227 22:46:35.577463 7 i... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8899 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8899/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8899/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8899/events | https://github.com/kubeflow/pipelines/issues/8899 | 1,601,968,958 | I_kwDOB-71UM5ffBs- | 8,899 | [feature] Kubeflow - Pass Tensorflow MapDataset from one component to another | {
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"Hi, @RubensZimbres. Working with input/output artifacts as you are trying to is not supported, but it's a planned feature for the SDK.\r\n\r\nIn the meantime, please follow the docs on [input artifacts](https://www.kubeflow.org/docs/components/pipelines/v2/author-a-pipeline/component... | 2023-02-27T21:22:24 | 2023-08-26T07:42:11 | null | NONE | null | I am implementing a Kubeflow pipeline in Google Cloud Vertex AI. Basically I have two components: prepare_data and train_model:
```
@component(
packages_to_install = [
"pandas==1.3.4",
"numpy==1.20.3",
"unidecode",
"nltk==3.6.5",
"gcsfs==2023.1.0"
],
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https://api.github.com/repos/kubeflow/pipelines/issues/8897 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8897/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8897/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8897/events | https://github.com/kubeflow/pipelines/issues/8897 | 1,599,448,847 | I_kwDOB-71UM5fVacP | 8,897 | [backend] pipelines not accessible after upgrade to 2.0.0-beta.0 | {
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"/assign @gkcalat ",
"Please note that KFP 2.0.0-beta.0 is not tested yet. Thank you for raising this problem. We should investigate how to distinguish shared namespace vs private namespace, and we need to validate authorization based on multi-user vs standalone mode.\r\n\r\n\r\nReference: https://github.com/kube... | 2023-02-25T00:41:21 | 2023-05-05T00:13:37 | 2023-05-04T23:53:26 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Full Kubeflow deployment managed by K8S team.
* KFP version: kubeflow 1.6 and kubeflow pipelines 2.0.0-beta.0
* KFP SDK version:
### Steps to reproduce
This issue started occurring after pipelines upgrade to 2.0.0-beta.0 version from 2.0.0b6... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8893 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8893/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8893/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8893/events | https://github.com/kubeflow/pipelines/issues/8893 | 1,598,390,137 | I_kwDOB-71UM5fRX95 | 8,893 | [sdk] ImportError: cannot import name 'container_component' from 'kfp.dsl' | {
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"@Mayuraggarwal1992, this was introduced in [`kfp==2.0.0-beta.2`](https://github.com/kubeflow/pipelines/blob/master/sdk/RELEASE.md#200-beta2), so it will not be present `kfp==1.8.19`"
] | 2023-02-24T10:50:32 | 2023-02-27T17:37:42 | 2023-02-27T17:37:41 | NONE | null | ### Environment
* KFP version: 1.8.19
* KFP SDK version: 1.8.19
* All dependencies version:
kfp==1.8.19
kfp-pipeline-spec==0.1.16
kfp-server-api==1.8.5
python== 3.8.1
### Steps to reproduce
* Run the below code.
`import kfp
from kfp.dsl import (
container_component,
ContainerSpec,
pipel... | {
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"/assign @chensun ",
"Caching isn't part of API parameter, but inside the pipeline manifest/spec payload.\r\nDepends on whether you're using v1 or v2, you may find the instructions in the following docs:\r\nhttps://www.kubeflow.org/docs/components/pipelines/v1/overview/caching/\r\nhttps://www.kubeflow.org/docs/c... | 2023-02-24T06:38:43 | 2023-03-10T00:58:11 | 2023-03-10T00:58:10 | NONE | null | How to enable/disable caching in kubeflow using run api v1beta1 ? | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions."
] | 2023-02-24T03:25:31 | 2023-08-26T07:42:13 | null | NONE | null | The docstring for
components/google-cloud/google_cloud_pipeline_components/v1/bigquery/evaluate_model/component.py
seems to be an incorrect copy and paste from the
https://github.com/kubeflow/pipelines/blob/master/components/google-cloud/google_cloud_pipeline_components/v1/bigquery/predict_model/component.py
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* KFP version: N/A
* KFP SDK version: 2.0.0-beta.12
* All dependencies version:
<!-- Specify the output of the following shell command: $pip list | grep kfp -->
### Steps to reproduce
Compile the [sample pipeline with environment variable](https://github.com/kubeflow/pipelines/blob/... | {
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"Issue was because i was building the images on a Mac. Not sure if there is a workaround to this",
"@anifort, can you describe what the diff was when building on Mac? I am getting similar results on both Mac and Linux.",
"copying information from here: https://blog.jaimyn.dev/how-to-build-multi-architecture-doc... | 2023-02-23T17:22:12 | 2023-04-25T19:41:47 | 2023-04-25T19:41:47 | NONE | null | ### Environment
* KFP version: Running on Vertex
* KFP SDK version:
kfp = 2.0.0b12
* All dependencies version:
kfp = 2.0.0b12 \
kfp-pipeline-spec = 0.2.0 \
kfp-server-api = 2.0.0a6
### Steps to reproduce
create a simple component and decorate with vertex ai artifact registry uri, for example:
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https://api.github.com/repos/kubeflow/pipelines/issues/8882 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8882/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8882/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8882/events | https://github.com/kubeflow/pipelines/issues/8882 | 1,597,144,259 | I_kwDOB-71UM5fMnzD | 8,882 | [feature] Add a version_aliases argument to ModelUploadOp | {
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"/assign @ChaseLyall\r\n/assign @connor-mccarthy",
"I add that this is strictly necessary.\r\nCurrently, a model uploaded as new version of an existing model through ModelUploadOp **cannot** be deployed with ModelDeployOp, as there's no way to specify the version."
] | 2023-02-23T16:13:31 | 2023-07-24T14:35:10 | null | NONE | null | ### Feature Area
<!-- /area components -->
### What feature would you like to see?
It is possible to upload new versions of a model by using the parent_model parameter of ModelUploadOp. However these versions are not aliased as "default", and there is no way to set custom aliases.
It would be nice to add th... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8881 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8881/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8881/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8881/events | https://github.com/kubeflow/pipelines/issues/8881 | 1,597,035,393 | I_kwDOB-71UM5fMNOB | 8,881 | [sdk] parent_model parameter of ModelUploadOp is ignored | {
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"This is related to #8257",
"Similarly, `CustomContainerTrainingJobRunOp` does not allow passing in `parent_model` at all, even though its `run` method accepts it.",
"/assign @connor-mccarthy ",
"I believe this is fixed in the latest version of GCPC: `google-cloud-pipeline-components==1.0.43`. Please feel fre... | 2023-02-23T15:09:16 | 2023-06-21T12:37:56 | null | NONE | null | ### Environment
* KFP version:
Vertex AI
* KFP SDK version:
kfp==1.8.19
google-cloud-pipeline-components==1.0.39
* All dependencies version:
kfp 1.8.19
kfp-pipeline-spec 0.1.16
kfp-server-api 1.8.1
### Steps to reproduce
C... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8878 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8878/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8878/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8878/events | https://github.com/kubeflow/pipelines/issues/8878 | 1,595,777,313 | I_kwDOB-71UM5fHaEh | 8,878 | [sdk] Invalid OAuth Scope error when uploading pipeline to Artifact Registry using Service Account Credentials | {
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"Thanks for raising this @rodrigocaus . I was fighting this exact same issue earlier and managed to fix it by adding the scopes attribute to default() 🙌.\nI was actually initially trying using federated workload identity, which isn't working either (failing with invalid argument error). My next attend was via SA k... | 2023-02-22T20:19:20 | 2023-08-11T06:59:30 | null | NONE | null | I need to implement an automatic update flow of Artifact Registry's KFP pipelines. To push to a KFP registry, I need to authenticate with Google Cloud API using a Service Account (SA). The `kfp` SDK (v2 beta 12) does not infer default credentials with correct scope to do so.
### Environment
* Python Version: 3.10.... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8877 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8877/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8877/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8877/events | https://github.com/kubeflow/pipelines/issues/8877 | 1,595,022,425 | I_kwDOB-71UM5fEhxZ | 8,877 | [sdk] VertexModel, VertexDataset and VertexEndpoint artifact types fail with kfp 2.0.x | {
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"/assign @connor-mccarthy ",
"Running into this still on 2.0.0b4, are there any workarounds for this?",
"This will be resolved with the upcoming release of `google-cloud-pipeline-components==2.0.0b5` (ETA next week, the week of 6/12/23).",
"I'm no longer experiencing this issue as of `2.0.0b5` ",
"Thanks, @... | 2023-02-22T12:29:22 | 2023-06-22T16:55:31 | 2023-06-22T16:55:31 | NONE | null | ### Environment
* KFP version: Vertex Pipelines
* KFP SDK version: 2.0.0b12
* All dependencies version:
kfp = 2.0.0b12 \
kfp-pipeline-spec = 0.2.0 \
kfp-server-api = 2.0.0a6 \
**google-cloud-pipeline-components** = **2.0.0b0**. <-- issue appears in versions > 1..0.30
### Steps to reproduce
Create ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8876 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8876/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8876/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8876/events | https://github.com/kubeflow/pipelines/issues/8876 | 1,594,541,109 | I_kwDOB-71UM5fCsQ1 | 8,876 | [bug] <ml-pipeline-ui pod always CrashLoopBackOff > | {
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"/assign @jlyaoyuli ",
"> /assign @jlyaoyuli\r\n\r\nI have solved this problem, because I pulled the wrong image。Sorry!"
] | 2023-02-22T06:34:54 | 2023-03-13T06:23:35 | 2023-03-13T06:23:35 | NONE | null | ### Environment
Local Kubernetes v1.23.6
Kubeflow v1.6.1
kustomize 3.2.0
KFP version:
gcr.io/ml-pipeline/frontend:2.0.0-alpha.5
### Steps to reproduce
kustomize build apps/pipeline/upstream/env/cert-manager/platform-agnostic-multi-user | kubectl apply -f -
### Expected result
State of ml-pipeline-... | {
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