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"Feel free to contribute to `kfp[kubernetes]` to extend the capability of VolumeOps."
] | 2023-07-05T17:35:30 | 2023-07-13T22:43:53 | null | NONE | null | ### Feature Area
/area backend
/area sdk
### What feature would you like to see?
To continue discussion from https://github.com/kubeflow/pipelines/issues/8570, the resourceOp was deprecated in v2, and although `kfp[kubernetes]` [supports](https://www.kubeflow.org/docs/components/pipelines/v2/platform-specific... | {
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"/assign @Linchin ",
"Hi @andre-lx, thank you for bringing up this issue. I tried the same pipeline on a newly deployed 2.0.0 cluster, and the run finished without issue. looking at the log you provided, we have \r\n\r\n> github.com/kubeflow/pipelines/backend/src/v2/metadata.(*Client).PublishExecution(0xc000b2992... | 2023-07-05T14:53:10 | 2023-08-08T17:08:21 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Manifests
* KFP version:
2.0.0
* KFP SDK version:
```
kfp 2.0.1
kfp-pipeline-spec 0.2.2
kfp-server-api 2.0.0
```
### Steps to reproduce
Hello, we are trying the migration from pipelines 1.8.5 to 2.0.0 but ... | {
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"/cc @jlyaoyuli \r\n/assign @zijianjoy ",
"@axel7083 This is a good point for improving the latency of rendering run list. There are multiple approaches to solve this problem:\r\n\r\n1. Like you suggested, we might be able to extend `/pipeline/apis/v2beta1/runs` List call to include experiment name and run detail... | 2023-07-04T07:55:55 | 2023-07-14T00:02:46 | null | CONTRIBUTOR | null | ### Description
When we navigate to the runs page, listing all the runs. The page take a lot of times to loads.
The frontend make a request to `/pipeline/apis/v2beta1/runs` then returns a list of run, containing each of them a `run-id` and a `pipeline_version_id`, for each run, the frontend will query the run det... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9700 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9700/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9700/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9700/events | https://github.com/kubeflow/pipelines/issues/9700 | 1,786,617,694 | I_kwDOB-71UM5qfZ9e | 9,700 | Unable to run sidecar with kubeflow | {
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"Hi @robbiedow, the documentation you linked is not the official documentation. Please use [this](https://kubeflow-pipelines.readthedocs.io/en/sdk-2.0.1/) for documentation. At this point, KFP v2 does not support sidecar. We will use #9768 to track the feature request."
] | 2023-07-03T18:12:50 | 2023-07-27T22:59:37 | null | NONE | null | Hi,
I am trying to run a sidecar in a kubeflow component, and I can't figure out how to do it. I found some [documentation](https://kf-pipelines.readthedocs.io/en/latest/source/kfp.dsl.html#kfp.dsl.Sidecar) that indicates there is a class called kfp.dsl.Sidecar, but this example indicates this is not the case.
**... | {
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"Hi @chensun @jlyaoyuli can I look into this issue?"
] | 2023-06-30T20:26:04 | 2023-07-26T01:56:41 | null | COLLABORATOR | null | null | {
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"@chensun @zijianjoy I think this is very important before cutting the 2.0.0 for the backend.",
"/assign @zijianjoy "
] | 2023-06-29T00:18:35 | 2023-07-13T22:46:18 | 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 -->
## Related Issues
- https://github.com/kubeflow/pipelines/issues/6517
# The Problem
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"Hello @tleewongjaro-agoda , the ability to control whether a user has permission to take KFP actions, is same as configuring role and rolebinding in kubernetes, the reference to each action is mapped to RBAC configuration: https://github.com/kubeflow/pipelines/blob/master/backend/src/apiserver/common/const.go#L18-... | 2023-06-27T03:35:53 | 2023-07-31T23:58:55 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Multi-user
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP version:
v1.6.0
<!-- Specify the version of Kubeflow Pipelines that you are using. The v... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9683 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9683/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9683/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9683/events | https://github.com/kubeflow/pipelines/issues/9683 | 1,774,862,639 | I_kwDOB-71UM5pykEv | 9,683 | [feature] simplify collecting scalar metrics | {
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"I made a quick POC to show how we could simply the process of getting those metrics. See [kfp-metrics-collector](https://github.com/axel7083/kfp-metrics-collector)"
] | 2023-06-26T14:00:13 | 2023-06-27T13:09:09 | 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 -->
## Description
In the current implentation, it is very hard to collect scalar metrics for a given run. It requires inter... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9682 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9682/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9682/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9682/events | https://github.com/kubeflow/pipelines/issues/9682 | 1,772,795,936 | I_kwDOB-71UM5pqrgg | 9,682 | [feature] Add ability to specify node affinity & toleration using KFP V2 | {
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"Additionally would be great to have the ability to set requests/limits for custom resources. `cpu`, `memory` and `nvidia.com/gpu` are obviously staples and cover most of the necessary resource requests/limits, but being able to use and experiment with other custom resources (e.g. to make GPU sharing between contai... | 2023-06-24T15:48:09 | 2023-08-28T20:54:34 | 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?
A core production use case of KFP involves being able to run CPU and GP... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9681 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9681/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9681/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9681/events | https://github.com/kubeflow/pipelines/issues/9681 | 1,772,123,914 | I_kwDOB-71UM5poHcK | 9,681 | [sdk] Error while trying to output Metric inside Condition | {
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"Hello @marlonmBoti, we suggest to use KFP SDK 2.0 and see if the error is still existing.",
"> Hello @marlonmBoti, we suggest to use KFP SDK 2.0 and see if the error is still existing.\r\n\r\nThanks, @jlyaoyuli "
] | 2023-06-23T20:44:05 | 2023-07-14T14:35:07 | 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:
<!-- Specify the version of Kubeflow Pipelines that you are using. The version number appears in the left side navigation... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9679 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9679/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9679/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9679/events | https://github.com/kubeflow/pipelines/issues/9679 | 1,770,990,195 | I_kwDOB-71UM5pjypz | 9,679 | Where is `UserContainer` for v2? Is it deprecated completely? | {
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```
@property
def INIT_CONTAINER(self) -> dsl.UserContainer:
return dsl.UserContainer(
name="git-sync",
image="k8s.gcr.io/git-sync:v3.1.1",
mirror_volume_mounts=True,
)
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https://api.github.com/repos/kubeflow/pipelines/issues/9678 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9678/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9678/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9678/events | https://github.com/kubeflow/pipelines/issues/9678 | 1,770,548,356 | I_kwDOB-71UM5piGyE | 9,678 | cannot save parameter /tmp/outputs/condition | {
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"same issue on my kfp deployment, any solution?",
"I haven't found any yet! I've moved away from Kubeflow Pipelines because there doesn't seem to be much support for it, and a lot of what I needed is being deprecated in v1 to v2.",
"I'm having the same issue +1",
"/assign @chensun \r\nWill it be related to ht... | 2023-06-23T00:07:53 | 2023-08-31T22:45:21 | null | NONE | null | I've created a KubeFlow pipelines deployment on GKE with the manifests directly from the repository (the ones in the tutorial combined with code examples here led to validation errors). You can see the exact steps I'm taking to deploy the cluster, install KubeFlow, generate the compile / compile / install here: https:/... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9675 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9675/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9675/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9675/events | https://github.com/kubeflow/pipelines/issues/9675 | 1,768,564,665 | I_kwDOB-71UM5paie5 | 9,675 | [feature] Migration from @material-ui to @mui | {
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"/cc @zijianjoy ",
"I think we already have this functionality for grouping list:\r\n\r\n\r\n"
] | 2023-06-21T21:57:37 | 2023-06-22T23:09:23 | 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?
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https://api.github.com/repos/kubeflow/pipelines/issues/9673 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9673/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9673/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9673/events | https://github.com/kubeflow/pipelines/issues/9673 | 1,767,390,068 | I_kwDOB-71UM5pWDt0 | 9,673 | [feature] filter.proto support for json or nested comparaison | {
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"@axel7083: The label(s) `area/-->, area/-->` cannot be applied, because the repository doesn't have them.\n\n<details>\n\nIn response to [this](https://github.com/kubeflow/pipelines/issues/9673):\n\n>### Feature Area\r\n>\r\n>\r\n>\r\n>/area backend -->\r\n>/area sdk -->\r\n>\r\n>\r\n>\r\n>\r\n>### What feature wo... | 2023-06-21T11:35:30 | 2023-06-21T11:35:47 | 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?
For example when listing runs, I would like to be able to filter based on the ... | {
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"Hi @seanswyi, we do support dictionary-typed input parameters in v2: https://www.kubeflow.org/docs/components/pipelines/v2/data-types/parameters/#input-parameters\r\n",
"@chensun Thanks, just noticed. I'll try to use that and re-open the issue if needed."
] | 2023-06-21T06:42:12 | 2023-06-23T07:39:22 | 2023-06-23T07:39:22 | 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?
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However, bigquery_output_table is not an input of the function.
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https://api.github.com/repos/kubeflow/pipelines/issues/9670 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9670/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9670/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9670/events | https://github.com/kubeflow/pipelines/issues/9670 | 1,766,383,743 | I_kwDOB-71UM5pSOB_ | 9,670 | [bug] Out of date documentation linked in google-cloud-components on README file | {
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"This has been fixed. Thanks!"
] | 2023-06-21T00:23:44 | 2023-07-20T22:54:07 | 2023-07-20T22:54:07 | NONE | null | [This page](https://github.com/kubeflow/pipelines/tree/master/components/google-cloud) appears to be updated for v2.0.0,
however, the text "Please see the [Google Cloud Pipeline Components API reference documentation] " links to v1.0.41 documentation.
Impacted by this bug? Give it a 👍. | {
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"follower... | null | [] | 2023-06-20T10:49:13 | 2023-06-29T22:59:54 | null | NONE | null | ### Environment
<!-- Please fill in those that seem relevant. -->
* How do you deploy Kubeflow Pipelines (KFP)?
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
Using SDK:
```
aiplatform.init(
project=project_id... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9653 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9653/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9653/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9653/events | https://github.com/kubeflow/pipelines/issues/9653 | 1,764,017,532 | I_kwDOB-71UM5pJMV8 | 9,653 | When using NamedTuple as a return type for a pipeline, which is created inside another pipeline (pipeline inside another pipeline case), how to access the outputs of that inner pipeline? | {
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"Hi @Princy-Malhotra , if you click the ` test-train-split ` component, do you see any log?",
"> Hi @Princy-Malhotra , if you click the ` test-train-split ` component, do you see any log?\r\n\r\nNo @chensun , there are no logs for that component. Logs are empty. Here are some screenshots attached:\r\n?
I used Standalone deployment as mentioned here: [https://www.kubeflow.org/docs/components/pipelines/v2/installation/quickstart/#:~:text=Step%201%3A%20Deploy%20a%20KFP%20standalone%20instance%20into%20... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9650 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9650/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9650/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9650/events | https://github.com/kubeflow/pipelines/issues/9650 | 1,761,666,409 | I_kwDOB-71UM5pAOVp | 9,650 | [6/16/23] e2e and upgrade presubmit tests failing consistently | {
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"followers_url": "https://api.githu... | null | [] | 2023-06-17T06:09:15 | 2023-06-17T07:10:39 | 2023-06-17T07:10:39 | COLLABORATOR | null | e.g.: https://oss.gprow.dev/view/gs/oss-prow/pr-logs/pull/kubeflow_pipelines/9640/kubeflow-pipeline-e2e-test/1669824095170072576
```
Failed to build test images:
STEP TEMPLATE PODNAME DURATION MESSAGE
✖ integration-test-bkwmd ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9638 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9638/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9638/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9638/events | https://github.com/kubeflow/pipelines/issues/9638 | 1,761,001,022 | I_kwDOB-71UM5o9r4- | 9,638 | [samples] Component specification for kfpv2 | {
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"> Will components built for KFPv1 be compatible with KFPv2?\r\n\r\nGenerally speaking, yes. KFP v2 aims to be backward compatible with v1 components for the critical paths. \r\n\r\nTo add one more documentation to your existing list, components and pipelines are now compiled/persisted in the same manner:\r\nhttps:... | 2023-06-16T16:59:26 | 2023-06-22T23:15:25 | null | CONTRIBUTOR | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
/area samples
/area components
### What feature would you like to see?
Samples and documentation on component specification, build and package instructions for KFPv2 components similar to https://www.kubeflow.org/docs/co... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9627 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9627/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9627/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9627/events | https://github.com/kubeflow/pipelines/issues/9627 | 1,759,360,492 | I_kwDOB-71UM5o3bXs | 9,627 | [Pipeline backend] <In few scenarios, on pipeline terminate, the pipeline doesn't show the right status> | {
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"Thank you @mChowdhury-91. This is covered by #8966. Let's keep that for tracking the issue."
] | 2023-06-15T18:42:15 | 2023-07-20T22:59:33 | 2023-07-20T22:59:33 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Standalone deployment
* KFP SDK version: 1.8.14
### Steps to reproduce
There are 2 scenarios:
1. For long running Kubeflow pipelines, the terminate pipeline action doesn't update the right status. The job was complete, but the status show ru... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9622 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9622/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9622/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9622/events | https://github.com/kubeflow/pipelines/issues/9622 | 1,756,937,228 | I_kwDOB-71UM5ouLwM | 9,622 | Error (exit code 1): failed to put file: Get "https://s3.domain/location?": dial tcp: i/o timeout | {
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kfp==1.8.13
kfp-pipeline-spec==0.1.16
kfp-server-api==1.8.3
### Steps to reproduce
[Try out this example](https://github.com/kubeflow/examples/blob/master/financial_time_series/tensorflow_model/run_preprocess.py)
I am receiving the below logs, only change from example is instead txt file, ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9621 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9621/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9621/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9621/events | https://github.com/kubeflow/pipelines/issues/9621 | 1,756,016,553 | I_kwDOB-71UM5oqq-p | 9,621 | [feature] <Bagging pipeline with Node-red control> | {
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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."
] | 2023-06-14T04:08:37 | 2023-09-12T07:41:41 | 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?
Bagging is an Ensemble learning technique that allows partit... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9614 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9614/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9614/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9614/events | https://github.com/kubeflow/pipelines/issues/9614 | 1,755,220,268 | I_kwDOB-71UM5onoks | 9,614 | [sdk]: credentials type as str instead of ServiceAccountTokenVolumeCredentials | {
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"Hi @axel7083!\r\nThank you. If you would like, you are very welcome for send a short PR and cc @connor-mccarthy."
] | 2023-06-13T15:59:01 | 2023-07-20T23:01:07 | null | CONTRIBUTOR | null | ## Description
When creating a kfp Client and providing the argument `credentials`, the typing indicates `str` but is suppose to be `kfp.client.ServiceAccountTokenVolumeCredentials`.
https://github.com/kubeflow/pipelines/blob/a9ac0b95bcc69c6214ca4e5e3208c816096f0377/sdk/python/kfp/client/client.py#L153 | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9613 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9613/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9613/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9613/events | https://github.com/kubeflow/pipelines/issues/9613 | 1,754,862,362 | I_kwDOB-71UM5omRMa | 9,613 | [feature] Plotting Scalar Metrics | {
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"@zpChris you have been working on the CompareV2, any feedback on this idea ?\r\n",
"I think it would make reading those scalar metrics easy in many circumstances, depending on the range and quantity of the data. It might be tricky to display different variables in this format - whether they would be on the same ... | 2023-06-13T13:12:23 | 2023-09-12T07:41:42 | 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?
I would like to be able to plot for example getting an Histograms whe... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9612 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9612/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9612/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9612/events | https://github.com/kubeflow/pipelines/issues/9612 | 1,754,799,914 | I_kwDOB-71UM5omB8q | 9,612 | [bug] ModelBatchPredictOp component is not using SA of pipeline to run itself | {
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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."
] | 2023-06-13T12:41:13 | 2023-09-12T07:41:44 | null | NONE | null | ### Environment
google-api-core 1.34.0
google-cloud-aiplatform 1.25.0
google-cloud-core 2.3.2
google-cloud-logging 3.5.0
google-cloud-pipeline-components 1.0.44
kfp 1.8.22
kfp-pipeline-spec ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9611 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9611/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9611/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9611/events | https://github.com/kubeflow/pipelines/issues/9611 | 1,754,478,362 | I_kwDOB-71UM5okzca | 9,611 | [frontend] Content is not available yet when using set_display_name. (after failed, or succeeded) | {
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"I migrate to kfp 2.0.0 and the issue is still here. The issue is probably linked to https://github.com/kubeflow/pipelines/issues/9603"
] | 2023-06-13T09:44:47 | 2023-08-28T20:54:18 | null | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)? manifests
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP version: 2.0.0-rc.1
<!-- Specify the version of Kubeflow Pipelines that you are using. The ve... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9610 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9610/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9610/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9610/events | https://github.com/kubeflow/pipelines/issues/9610 | 1,753,713,570 | I_kwDOB-71UM5oh4ui | 9,610 | [backend] using large number of file watchers / instances | {
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"@kubeflow/wg-pipeline-leads",
"Hello @thesuperzapper, can you provide more information to prove that the issue (open too many files) is attributed by pipeline?"
] | 2023-06-12T22:51:53 | 2023-06-29T22:59:07 | null | MEMBER | null | Kubeflow Pipelines seems to be using a very large number of file watchers & instances, this has caused issues like:
- https://github.com/kubeflow/manifests/issues/2087
Currently, the only solution is to increase the max, with these values in `/etc/sysctl.conf`:
- `fs.inotify.max_user_instances = 1280`
- `fs.... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9607 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9607/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9607/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9607/events | https://github.com/kubeflow/pipelines/issues/9607 | 1,752,834,010 | I_kwDOB-71UM5oeh_a | 9,607 | [sdk] parent_model parameter of ModelUploadOp is ignored, update to issue #8881 | {
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"@RansSelected, closing as duplicate of canonical bog #8881."
] | 2023-06-12T14:01:30 | 2023-06-12T16:31:27 | 2023-06-12T16:31:27 | NONE | null | Hello @connor-mccarthy ,
Unfortunately I'm still experiencing same issue, parent_model is ignored;

I'm getting the parent like this:
``` python
_ID = 0
try:
models = aip.Model.list(project = PROJECT_ID,... | {
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"If I recall correctly, we have fixed this issue in the latest version. Can you try 2.0.0?",
"I migrate to 2.0.0 (`gcr.io/ml-pipeline/frontend:2.0.0`) and the problem still persist.\r\nI made the following steps:\r\n- Migrate from `gcr.io/ml-pipeline/frontend:2.0.0-rc.1` to `gcr.io/ml-pipeline/frontend:2.0.0`\r\n... | 2023-06-09T14:02:11 | 2023-07-10T08:39:05 | null | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)? manifests
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP version: [2.0.0-rc.1](https://github.com/kubeflow/pipelines/releases/tag/2.0.0-rc.1)
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https://api.github.com/repos/kubeflow/pipelines/issues/9600 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9600/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9600/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9600/events | https://github.com/kubeflow/pipelines/issues/9600 | 1,749,013,104 | I_kwDOB-71UM5oP9Jw | 9,600 | [feature] <Quantum AI kubeflow pipeline with Node-red control> | {
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"This is maybe going over my head, but maybe what you could do at the moment is using Kubeflow to interact with the IBM SDKs and use their APIs to control a quantum computer. Maybe a cool first pr will be a cool Kubeflow pipeline example interacting with that kind of service. Let me know if that workaround works fo... | 2023-06-09T02:53:22 | 2023-06-26T07:52:52 | 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?
A GUI front-end that allows users to trigger a quantum AI flow... | {
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* How did you deploy Kubeflow Pipelines (KFP)? manifests
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP version: [2.0.0-rc.1](https://github.com/kubeflow/pipelines/releases/tag/2.0.0-rc.1)
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https://api.github.com/repos/kubeflow/pipelines/issues/9590 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9590/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9590/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9590/events | https://github.com/kubeflow/pipelines/issues/9590 | 1,746,638,449 | I_kwDOB-71UM5oG5Zx | 9,590 | [sdk] ParallelFor not resolving iterable object correctly when used with DataprocPySparkBatchOp | {
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"I am really hoping there is some easy subscriptable way to access the value. I have tried using an 2 arrays, 1 of integers and 1 with the values, parallelfor over the integer, using it to index the array. However, a parallelfor seems to iterate in a different way, it seems to 'print' from the loop only once, ev... | 2023-06-07T20:36:03 | 2023-06-22T22:56:10 | null | NONE | null | ### Environment
Google Cloud Platform:
* KFP version: 1.0.29 (forced runtime version)
* KFP SDK version: Google Provided (not sure how it works in the cloud, all I needed was a pip install on my vertex notebook)
* All dependencies version:
kfp 1.8.20
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"cc @chensun ",
"Looks like this issue actually already exists without upgrading MLMD version. \r\n\r\n",
"PR is merged, thus marking this issue as fixed."
] | 2023-06-07T16:23:33 | 2023-06-26T17:57:55 | 2023-06-26T17:57:55 | COLLABORATOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
KFP v2
* MLMD
Upgrade MLMD to 1.13 version or above
### Steps to reproduce
Create a KFP V2 Pipeline Run which has sub-DAG.
The problem is that such run will fail in newer MLMD version, because the following MLMD API call is made multiple ... | {
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"I found out there is an argoexecutor which runs alongside the Python container. The cluster logs indicated that it was being OOMKilled. I found a config in the cluster that specified memory settings for argoexecutor so I increased the max from 512MB to 1024MB. This solved the issue.\r\n\r\nI still think it would b... | 2023-06-07T10:52:07 | 2023-08-28T20:54:22 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Not sure
* KFP version:
Version: 1.8.5
* KFP SDK version:
```
$ pip list | grep kfp
kfp 1.8.20
kfp-pipeline-spec 0.1.16
kfp-server-api 1.8.5
```
### Steps to reproduce
Run the code in... | {
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"Hi @ifuwang, could you please explain what exactly needs to be done on KFP to achieve this feature? Thank you.",
"@Linchin thanks for your enquiry. What this feature needs is a Node-red front end interacting with a Kubeflow pipeline modules. The Node-red front end originally comes with GUIs specifically geared... | 2023-06-07T03:18:04 | 2023-06-30T02:07:25 | null | NONE | null | ### Feature Area
We implemented a kserve pipeline specifically for the IOT Rasberry PI chipset. The pipeline takes in a regular input data, be a text or image, and feeds into a trained model. e.g. H5 file, from other AI training processes. The pipeline will take an input from Rasberry PI sensor, and deliver an ou... | {
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"After some investigation, it turns out that the status of the run comes from the report from argo that is then [relayed by the persistence agent to the backend](https://github.com/kubeflow/pipelines/blob/db1e0e213c83780619dea3eabbc5231450ba62c5/backend/src/agent/persistence/client/pipeline_client.go#L79). Since th... | 2023-06-06T17:08:08 | 2023-06-14T20:31:57 | 2023-06-14T20:31:57 | COLLABORATOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
KFP standalone
* KFP version:
2.0.0-rc.1
* KFP SDK version:
2.0.0-rc.1
### Steps to reproduce
Run this pipeline:
https://github.com/kubeflow/pipelines/blob/27d8f7a651631df1afc59b18cb387b7d7dd87636/sdk/python/test_data/pipelines/pipeline_... | {
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"Hi @chensun, thank you so much for catching this! I think this was caused due to a [decision we made earlier about resolving default parameters](https://github.com/kubeflow/pipelines/blob/c0640d7a033b6fa2133b92c2a459d9eb3dabee32/backend/src/v2/driver/driver.go#L824)(PR #9184). In the past, we would add the default... | 2023-06-05T21:31:09 | 2023-06-13T18:25:05 | 2023-06-13T18:25:04 | COLLABORATOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
KFP standalone
* KFP version:
2.0.0rc.1
* KFP SDK version:
2.0.0rc.1
### Steps to reproduce
Run the following pipeline:
https://github.com/kubeflow/pipelines/blob/63936c07735521b1244e1e528a9baf80d40b296d/sdk/python/test_data/pipelines... | {
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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.",
"Well that's not very nice..."
] | 2023-06-05T20:44:10 | 2023-09-05T07:41:22 | null | NONE | null | ### Feature Area
<!-- /area backend -->
### What feature would you like to see?
Caching of output of tasks once task completes and not only once the entire pipeline is finished.
### What is the use case or pain point?
Waiting for entire pipeline to finish before starting a new pipeline so some early outp... | {
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"@Princy-Malhotra, do you have the opportunity to recompile the pipeline with with the latest release of the KFP SDK, 2.0.0-rc.1? This issue is resolved with that version.",
"> @Princy-Malhotra, do you have the opportunity to recompile the pipeline with with the latest release of the KFP SDK, 2.0.0-rc.1? This iss... | 2023-06-05T19:52:38 | 2023-06-11T21:56:12 | 2023-06-11T21:56:12 | NONE | null | ### Environment
* KFP version: 2.0.0b4
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP SDK version: 2.0.0-rc.1
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"I recommend importing the Python component from the module in which it is defined. Loading the YAML also works, however.",
"@connor-mccarthy Forgive me for being dense, but by \"importing the Python component from the module in which it is defined\" do you mean in the `component.py` file? (referencing the exampl... | 2023-06-05T15:08:32 | 2023-07-05T17:56:56 | 2023-07-05T17:56:56 | CONTRIBUTOR | null | This might be a really dumb question, but given a file layout of something similar to the docs example:
```
pipeline.py
components/
component.py
util.py
```
And then running the build command:
```
kfp component build src/ --component-filepattern component.py
```
How would I import the component in... | {
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"```python\r\nfrom kfp import dsl\r\nfrom kubernetes.client import V1Toleration\r\n\r\ndef apply_toleration(toleration: str, container_op: dsl.ContainerOp) -> None:\r\n container_op.add_toleration(\r\n V1Toleration(\r\n key=toleration,\r\n operator=\"Equal\",\r\n value=\"t... | 2023-06-05T12:17:18 | 2023-06-29T11:42:28 | null | NONE | null | Hey,
I have been using kubeflow for 3-4 months. I was using kubeflow v1.5, managed its deployment with kusotmize.
Now, after upgrading the kubeflow version to [v1.7](https://awslabs.github.io/kubeflow-manifests/release-v1.7.0-aws-b1.0.1/docs/), as we get [terraform deployment option](https://awslabs.github.io/kubefl... | {
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<!-- Please fill in those that seem relevant. -->
* How do you deploy Kubeflow Pipelines (KFP)? **Google Cloud Vertex AI**
* KFP version: N/A
* KFP SDK version: **2.0.0rc1**
* Python 3.9.10
### Steps to reproduce
I'm following the tutorial for Containerized Python Components: https://w... | {
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"@kubeflow/wg-pipeline-leads I believe this is a critical issue as it affects every Kubeflow Pipelines deployment."
] | 2023-06-03T23:02:05 | 2023-08-28T20:54:43 | null | MEMBER | null | Currently the default `cacheImage` is set to `gcr.io/google-containers/busybox` (with no tag).
When an image has no tag, Kubernetes will default to using `latest` with a `pullPolicy` of `Always`, meaning large pipelines might be pulling this image a crazy number of times. This is likely the cause of the previous iss... | {
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"/assign @zijianjoy ",
"Thank you @andre-lx , the concern makes sense in the case of high amount of namespaces. I am reading the past design decision in https://docs.google.com/document/d/1YNxKUbJLnBRL7DbPn76fsShkQx5Q5jTc-iXfLmLt1FU/edit. The concern is over-granting permission to a single service account. If you... | 2023-06-02T11:03:33 | 2023-07-20T09:27:49 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Kubeflow deployment
* KFP version:
1.8.2
### Steps to reproduce
I didn't find any reference for this issue.
At this moment, 2 pods are created for each namespace. The pipelines are running smoothly, but this 2 pods per namespace are making... | {
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"title": "KFP 2.0... | [] | 2023-06-02T05:54:03 | 2023-06-02T10:49:09 | 2023-06-02T10:49:08 | COLLABORATOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Standalone KFP
* KFP version:
2.0.0-rc.1
* KFP SDK version:
N/A
### Steps to reproduce
While doing some random debugging, I found the following error log in api-server pod:
```
I0602 05:14:55.623705 7 error.go:278] Error 1406:... | {
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<!-- 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?
desert
<!-- Provide a description of this feature and the use... | {
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"/assign @chensun ",
"Because the visualization is using Tensorboard, and the base image is tensorflow:\r\nhttps://github.com/kubeflow/pipelines/blob/b339e93914a1417b376e53f7318d896cc3942088/backend/Dockerfile.visualization#L21 \r\n\r\nVisualization server is not currently used by v2, it's kept to maintain v1 com... | 2023-06-02T01:29:51 | 2023-09-09T07:41:23 | null | MEMBER | null | The `gcr.io/ml-pipeline/visualization-server` image is by far the largest container in Kubeflow pipelines at `1.3 GB`, what is making it so large, and how can we improve it?
- https://console.cloud.google.com/gcr/images/ml-pipeline/GLOBAL/visualization-server
This is especially important because a `Deployment/ml-... | {
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"We are hoping to be able to upgrade MLMD when its next minor version is available (1.14.0)"
] | 2023-06-01T23:14:59 | 2023-06-22T21:00:45 | null | MEMBER | null | While we updated our clients for MySQL 8.0 in https://github.com/kubeflow/pipelines/pull/8351, we still depend on [`google/ml-metadata`](https://github.com/google/ml-metadata), which does not fully support MySQL 8.0. In MySQL 8.0, the `default-authentication-plugin` was [changed from `mysql_native_password` to `cachin... | {
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"/assign @zijianjoy ",
"Can you try this installation approach instead?\r\nhttps://www.kubeflow.org/docs/components/pipelines/v1/installation/localcluster-deployment/#deploying-kubeflow-pipelines",
"@zijianjoy When I used the commands in your link, everything was installed correctly, and none of the pods were c... | 2023-06-01T14:20:48 | 2023-07-10T05:58:17 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
I deployed KFP to the K8S cluster that comes with Docker Desktop. I used the following commands:
export PIPELINE_VERSION=2.0.0-rc.1
kubectl apply -k "github.com/kubeflow/pipelines/manifests/kustomize/cluster-scoped-resources?ref=$PIPELINE_VERSI... | {
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"/close\r\nby #9544 and #9545",
"@Tomcli: Closing this issue.\n\n<details>\n\nIn response to [this](https://github.com/kubeflow/pipelines/issues/9543#issuecomment-1572696175):\n\n>/close\r\n>by #9544 and #9545\n\n\nInstructions for interacting with me using PR comments are available [here](https://git.k8s.io/comm... | 2023-05-31T23:03:28 | 2023-06-01T20:02:48 | 2023-06-01T20:02:47 | 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?
The Arrikto team added new enhancement for the k8s client up... | {
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<!-- Please fill in those that seem relevant. -->
* How do you deploy Kubeflow Pipelines (KFP)?
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP version:
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<!-- Please fill in those that seem relevant. -->
* How do you deploy Kubeflow Pipelines (KFP)?
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP version:
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run, job, pipeline, pipeline version, etc.
Similar to https://www.kubeflow.org/docs/components/pipelines/v1/concepts/
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* How do you deploy Kubeflow Pipelines (KFP)?
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<!-- Please fill in those that seem relevant. -->
* How do you deploy Kubeflow Pipelines (KFP)?
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP version:
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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."
] | 2023-05-31T02:41:12 | 2023-08-29T07:41:21 | null | NONE | null | ### Feature Area
You only look once (YOLO) is a state-of-the-art, real-time object detection system. On a Pascal Titan X it processes images at 30 FPS and has a mAP of 57.9% on COCO test-dev. Although it is a powerfull tool for AI applications, many coding procedures including proper library infusion and grammer editt... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9532 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9532/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9532/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9532/events | https://github.com/kubeflow/pipelines/issues/9532 | 1,733,245,362 | I_kwDOB-71UM5nTzmy | 9,532 | [feature] Kubeflow-Node-Red | {
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"Hi @NightLightTw, thank you for requesting this feature! Kubeflow intends to work with different platforms. It would be great if you could bring this up in the Kubeflow community meeting. \r\nHere are the Kubeflow manifest: https://github.com/kubeflow/manifests",
"Dear @Linchin 👍 Thank you for replying our feat... | 2023-05-31T01:38:28 | 2023-08-30T21:26:16 | 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 -->
It takes many laborious procedures to build a practical ML pipelines including pipeline docker file compila... | {
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"Hi @WalterSmuts, thank you for bringing up this question! We do allow cache for tasks, and you can check out the design doc here: https://docs.google.com/document/d/1_Hy1_KvuKh-heydg8qIyXYTiMfNPxePx4BHGpZT4xMk/edit?resourcekey=0-PTtkRPF5xpS3lD8dssqX1Q\r\nHope this info helps you understand the issue! Please let me... | 2023-05-30T09:29:00 | 2023-08-28T20:55:10 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)? unsure
* KFP version: 1.8.5
* KFP SDK version: 1.8.20
### Not a bug.
This is not a bug. Only a question. I tried joining the kubeflow slack but the link on the readme does not allow you to sign-in if you've not already got an account with http... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9523 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9523/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9523/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9523/events | https://github.com/kubeflow/pipelines/issues/9523 | 1,729,188,800 | I_kwDOB-71UM5nEVPA | 9,523 | Kube-node-red is aiming to integrate Kubeflow/Kubebeters with node-red, leveraging node-red's low-code modules, and using Kubeflow resources (e.g. Kubeflow pipeline, Kserve) to enhance its AI/ML ability. | {
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"We need more work on the illustration."
] | 2023-05-28T05:19:51 | 2023-05-31T01:38:08 | 2023-05-31T01:37:26 | 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?
Although kubeflow pipeline is a convenient tool for major ML o... | {
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<!-- Uncomment the labels below which are relevant to this feature: -->
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<!-- /area sdk -->
<!-- /area samples -->
<!-- /area components -->
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https://api.github.com/repos/kubeflow/pipelines/issues/9520 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9520/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9520/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9520/events | https://github.com/kubeflow/pipelines/issues/9520 | 1,728,304,375 | I_kwDOB-71UM5nA9T3 | 9,520 | [sdk] Remove trailing whitespace in the generated YAML | {
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"SGTM, @zzmao. Thanks for catching this."
] | 2023-05-26T22:23:09 | 2023-06-15T22:57:00 | null | COLLABORATOR | null | Trailing whitespace are observed in the generated YAML files:

We could remove them by simply apply `rstripe()`.
@connor-mccarthy If this looks good to you, I can create a PR.
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https://api.github.com/repos/kubeflow/pipelines/issues/9501 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9501/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9501/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9501/events | https://github.com/kubeflow/pipelines/issues/9501 | 1,722,954,581 | I_kwDOB-71UM5msjNV | 9,501 | [bug] kfp run and recurring-run 404. kfp pipeline works fine with no namespace | {
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"Hello @ianmaddox , would you like to try 2.0.0-rc.1 manifests to see if the problem is fixed? https://github.com/kubeflow/pipelines/releases/tag/2.0.0-rc.1",
"I followed the install instruction there and it all seems to have fallen apart. Here's the tail end of the upgrade output;\r\n```\r\nInstalling collected ... | 2023-05-24T00:00:52 | 2023-08-25T07:41:36 | null | NONE | null | ### Environment
Ubuntu 22.04
Kind 0.19.0
kubectl Client Version: v1.27.1
kubectl Kustomize Version: v5.0.1
kubectl Server Version: v1.27.1
kfp 2.0.0-alpha.7 manifests
* How do you deploy Kubeflow Pipelines (KFP)?
From full manifest deployment
* KFP version:
user_local
* KFP SDK version:
kfp ... | {
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] | 2023-05-23T17:29:24 | 2023-08-28T20:55:16 | null | COLLABORATOR | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
/area backend
<!-- /area sdk -->
<!-- /area samples -->
<!-- /area components -->
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https://api.github.com/repos/kubeflow/pipelines/issues/9490 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9490/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9490/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9490/events | https://github.com/kubeflow/pipelines/issues/9490 | 1,722,502,941 | I_kwDOB-71UM5mq08d | 9,490 | [feature] ParallelFor fan-in & Conditionals fan-in | {
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] | 2023-05-23T17:27:03 | 2023-08-28T20:55:36 | null | COLLABORATOR | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
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<!-- /area samples -->
<!-- /area components -->
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] | 2023-05-23T17:26:19 | 2023-08-28T20:55:39 | null | COLLABORATOR | null | ### Feature Area
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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."
] | 2023-05-23T17:25:42 | 2023-08-28T20:55:41 | null | COLLABORATOR | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
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/area backend
<!-- /area sdk -->
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
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/area backend
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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."
] | 2023-05-23T17:22:28 | 2023-08-28T20:55:49 | null | COLLABORATOR | null | ### Feature Area
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https://api.github.com/repos/kubeflow/pipelines/issues/9484 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9484/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9484/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9484/events | https://github.com/kubeflow/pipelines/issues/9484 | 1,721,685,180 | I_kwDOB-71UM5mntS8 | 9,484 | [backend] 2.0.0-rc.1 multi-user deployment | {
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"u... | closed | false | null | [] | null | [] | 2023-05-23T09:57:14 | 2023-05-23T11:22:24 | 2023-05-23T11:22:24 | CONTRIBUTOR | null | ## Description
Using `2.0.0-rc.1` tag with kubeflow manifest v1.7.0 leads to missing resources in profile namespace. (Missing `mlpipeline-minio-artifact` secrets, `metadata-grpc-configmap` configmap, etc.. It makes the pipelines crashes)
## Environment
To show the problem, we will create a k8s cluster using ki... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9476 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9476/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9476/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9476/events | https://github.com/kubeflow/pipelines/issues/9476 | 1,720,650,437 | I_kwDOB-71UM5mjwrF | 9,476 | Standardize release tags | {
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"@chensun @connor-mccarthy Looks like in retagging the SDK releases, the tag `2.0.0b6` was missed and deleted. We no longer see `2.0.0b6` or `sdk-2.0.0b6` tag. Can you please check?",
"> @chensun @connor-mccarthy Looks like in retagging the SDK releases, the tag `2.0.0b6` was missed and deleted. We no longer see... | 2023-05-22T22:01:54 | 2023-05-25T22:47:13 | 2023-05-25T22:47:13 | COLLABORATOR | null | ## Issue:
While investigating a recent [upgrade test failure](https://oss.gprow.dev/view/gs/oss-prow/pr-logs/pull/kubeflow_pipelines/9473/kubeflow-pipeline-upgrade-test/1660746693114597376), I discovered that it's upgrade upgrading from the last release (which is supposed to be 2.0.0-rc.1 at this moment)
![image]... | {
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"Yes its required since we should be having some way to make a proper status update at the end of the pipeline. ",
"/assign @Linchin ",
"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."
] | 2023-05-18T23:33:11 | 2023-08-28T20:55:31 | null | MEMBER | null | ### Feature Area
Specifically, support functionality exposed by `task.ignore_upstream_outputs` in the KFP SDK (SDK implementation https://github.com/kubeflow/pipelines/pull/8838).
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https://api.github.com/repos/kubeflow/pipelines/issues/9456 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9456/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9456/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9456/events | https://github.com/kubeflow/pipelines/issues/9456 | 1,716,073,609 | I_kwDOB-71UM5mSTSJ | 9,456 | [backend] Artifact passing fails with kfp launcher using s3 and query parameters | {
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"Not sure if this handles all cases but to get around the issue we change the regex in objectstore.go to:\r\n```\r\n\tbucketPattern := regexp.MustCompile(`(^[a-z][a-z0-9]+:///?)([^/?]+)([\\?][^/]+)?/([^?]*)?$`)\r\n```\r\nAnd then change what groups are pulled for prefix. Seems to work for the couple of cases we tri... | 2023-05-18T18:22:45 | 2023-08-28T20:58:10 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Self hosted
* KFP version:
kubeflow 1.7
* KFP SDK version:
kfp sdk 1.8.19
### Steps to reproduce
1. Added the following the kfp-launcher configmap:
```
data:
defaultPipelineRoot: s3://<bucket>?region=<region>&endpoint=<endpo... | {
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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."
] | 2023-05-18T14:46:54 | 2023-08-17T07:41:40 | null | NONE | null | ### Environment
<!-- Please fill in those that seem relevant. -->
* KFP SDK version:
1.8.14; 2.0.0b17
### Steps to reproduce
Batch prediction operator ModelBatchPredictOp from google_cloud_pipeline_components (in both v1.* and the v2.0.0 beta branches)
Does not allow to pass `model_monitoring_objective_... | {
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"@gkcalat I can look to submit the changes if the above suggestion makes sense",
"Hi @CosyOranges,\r\n\r\nSounds good to me. Please, assign your PR to @chensun and @Linchin.",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occu... | 2023-05-18T10:11:34 | 2023-08-21T07:41:37 | null | NONE | null | ### Feature Area
We make **heavy** use of Kubeflow's caching feature.
However, it doesn't play very well with some of the config you can set in Argo's `workflow-controller-configmap`. We run a large amount of pipelines at scale and as the number of pipelines increased the load on our EKS-Control plane also increase... | {
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"The underlying issue is because `gopkg.in/yaml.v2` library implements the problematic YAML 1.1 spec, and threats \"y\" as boolean by design: https://github.com/go-yaml/yaml/issues/214\r\nThis has been fixed in `gopkg.in/yaml.v3`"
] | 2023-05-18T04:01:27 | 2023-05-24T08:57:21 | 2023-05-24T08:57:21 | NONE | null |
* How did you deploy Kubeflow Pipelines (KFP)?
Use https://github.com/kubeflow/manifests to deploy kubeflow.
```bash
git clone https://github.com/kubeflow/manifests.git
cd manifests
git checkout v1.7-branch
```
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* How did you deploy Kubeflow Pipelines (KFP)?
Standalone KFP from `master`
### Steps to reproduce
Try to upload a pipeline with `%` + any other special character in the pipeline name
### Expected result
Creating a new pipeline and a new pipeline version
### Materials and Referen... | {
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"It is actually possible for Markdown and HTML to define in the `component.yaml` the output in the following way:\r\n\r\n```yaml\r\noutputs:\r\n- {name: output-html, type: HTML, description: 'data analysis in html'}\r\n- {name: output-markdown, type: Markdown, description: 'data analysis in markdown'}\r\n```\r\n\r\... | 2023-05-17T14:27:31 | 2023-08-22T07:41:56 | null | CONTRIBUTOR | null | ### Feature Area
/area components
### What feature would you like to see?
I do not know if it is already possible. I read the [Visualize Results in the Pipelines UI](https://www.kubeflow.org/docs/components/pipelines/v1/sdk/output-viewer/), but I do not see how to export visualization from components.
I w... | {
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* How did you deploy Kubeflow Pipelines (KFP)?
Use https://github.com/kubeflow/manifests to deploy kubeflow.
```bash
git clone https://github.com/kubeflow/manifests.git
cd manifests
git checkout v1.7-branch
```
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"Hello @erhwenkuo, thanks for reporting this issue! It should be fixed in our next release.",
"In addition, we would like to provide 2 alternative ways to create run using specific pipeline and experiment.\r\n1. Similar to what you observed, you can create experiment from experiment list and then create run in ex... | 2023-05-17T05:38:35 | 2023-05-19T19:02:49 | 2023-05-19T19:02:49 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Use https://github.com/kubeflow/manifests to deploy kubeflow.
```bash
git clone https://github.com/kubeflow/manifests.git
cd manifests
git checkout v1.7-branch
```
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"Found the fix here https://github.com/kubeflow/pipelines/pull/9437. Will wait for the next feature release :) "
] | 2023-05-15T20:18:21 | 2023-05-17T09:47:29 | 2023-05-17T09:47:29 | 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?
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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."
] | 2023-05-15T14:52:37 | 2023-08-17T07:41:42 | 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?
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* KFP version:
Version 2.0.0-beta.2
* KFP SDK version:
KFP SDK v2.0.0b16
* All dependencies version:
<!-- Specify the output of the following shell command: $pip list | grep kfp -->
### Steps to reproduce
The state of the pipeline is updated and still have to sleep for 1 iteration even... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9389 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9389/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9389/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9389/events | https://github.com/kubeflow/pipelines/issues/9389 | 1,705,802,589 | I_kwDOB-71UM5lrHtd | 9,389 | [sdk] Which versions work with which one | {
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"Sorry about the confusion. We have a tracking bug to document the compatibility matrix: https://github.com/kubeflow/pipelines/issues/8728\r\n\r\nShort answer:\r\n- `Kubeflow Pipelines 2.0.0-alpha.7` backend doesn't support the feature added via `kfp-kubernetes` or `platform_config` yet. But you can get k8s specifi... | 2023-05-11T13:09:37 | 2023-05-11T17:55:24 | 2023-05-11T17:55:23 | CONTRIBUTOR | null | We have some issues figuring out which version of the `sdk` goes with which `kfp-server-api`, and the extra `[kubernetes]` in kubeflow.
In Kubeflow/manifest, in the 1.7 release they are using `Kubeflow Pipelines 2.0.0-alpha.7` however they do not specify the sdk or kfp-server-api.
Based on some conversation in t... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9386 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9386/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9386/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9386/events | https://github.com/kubeflow/pipelines/issues/9386 | 1,705,117,147 | I_kwDOB-71UM5logXb | 9,386 | [sdk] ExitHandler doesn't work when a input of ParallelFor is a list. | {
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"@rayuron can you expand how you modify the code to make it pass?\r\n\r\n> Materials and Reference\r\n> The compilation is successful, but `job.submit()` does not working with the following error.\r\n> *Converting the input of ParallelFor from a list to JSON as following makes it successful. `s = \"[{'a':1,'b':2},{... | 2023-05-11T05:55:33 | 2023-08-06T14:33:10 | null | NONE | null | ### Environment
* KFP version:
Vertex AI Pipelines
* KFP SDK version:
1.8.21
* All dependencies version:
kfp 1.8.21
kfp-pipeline-spec 0.1.16
kfp-server-api 1.8.5
### Steps to reproduce
Run the following pipeline on Vertex A... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9367 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9367/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9367/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9367/events | https://github.com/kubeflow/pipelines/issues/9367 | 1,702,669,822 | I_kwDOB-71UM5lfK3- | 9,367 | [backend] no MLMD log for createpvc/deletepvc pods | {
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"closed by #9397 "
] | 2023-05-09T19:54:03 | 2023-05-15T19:53:00 | 2023-05-15T19:53:00 | COLLABORATOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
standalone
* KFP version:
<!-- Specify the version of Kubeflow Pipelines that you are using. The version nu... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9366 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9366/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9366/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9366/events | https://github.com/kubeflow/pipelines/issues/9366 | 1,702,436,413 | I_kwDOB-71UM5leR49 | 9,366 | [sdk] Bug when trying to iterate a list of dictionaries with ParallelFor | {
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"I had the same issue but solved it by using `import json` and then\r\n\r\n```\r\nwith dsl.ParallelFor(\r\n items=[json.dump({\"a\": 1, \"b\": 10}), json.dump({\"a\": 2, \"b\": 20})], parallelism=1\r\n ) as item:\r\n task = add(val_a=item.a, val_b=item.b)\r\n```\r\n\r\nHope it helps,",
"@msmendoz... | 2023-05-09T17:23:12 | 2023-09-08T18:36:10 | null | NONE | null | ### Environment
* KFP SDK version:
kfp==2.0.0b16
* All dependencies version:
kfp==2.0.0b16
kfp-pipeline-spec==0.2.2
kfp-server-api==2.0.0b1
### Steps to reproduce
When running the code snippet below the following error is raised:
`kfp.components.types.type_utils.InconsistentTypeException: Incompatib... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9350 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9350/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9350/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9350/events | https://github.com/kubeflow/pipelines/issues/9350 | 1,700,400,028 | I_kwDOB-71UM5lWguc | 9,350 | [frontend] No console output when graph too large | {
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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."
] | 2023-05-08T14:50:06 | 2023-08-09T07:41:30 | null | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Onto an AWS-backed K8s cluster.
* KFP version:
1.8.1
### Steps to reproduce
Create a pipeline with more than 1000 edges or nodes.
### Expected result
There should be console indicating that graphs beyond a certain size are not supported.
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https://api.github.com/repos/kubeflow/pipelines/issues/9349 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9349/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9349/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9349/events | https://github.com/kubeflow/pipelines/issues/9349 | 1,699,965,753 | I_kwDOB-71UM5lU2s5 | 9,349 | [sdk] GetVertexModelOp in google-cloud-pipeline-components==2.0.0b3 references image with kfp v1 (latest) | {
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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 is fixed."
] | 2023-05-08T10:11:33 | 2023-08-10T15:33:10 | 2023-08-10T15:33:09 | NONE | null | GetVertexModelOp in google-cloud-pipeline-components==2.0.0b3 references image with older version of google-cloud-pipeline-components and kfp v1 (latest):
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https://api.github.com/repos/kubeflow/pipelines/issues/9330 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9330/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9330/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9330/events | https://github.com/kubeflow/pipelines/issues/9330 | 1,696,772,090 | I_kwDOB-71UM5lIq_6 | 9,330 | [sdk] <Bug Name> | {
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"On kfp sdk 2.0.0b15, when you initialize the client, there should be a warning message says `This client only works with Kubeflow Pipeline v2.0.0-beta.1`. Recommend to upgrade both deployment and sdk to our latest release 2.0.0-rc.1 if you want to try out v2 features.",
"I have the same issue even with `sdk` ver... | 2023-05-04T22:15:21 | 2023-07-26T14:48:00 | null | CONTRIBUTOR | null | ### Environment
* KFP version: `2.0.0-alpha.5`
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP SDK version: `2.0.0b15`
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https://api.github.com/repos/kubeflow/pipelines/issues/9326 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9326/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9326/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9326/events | https://github.com/kubeflow/pipelines/issues/9326 | 1,696,424,172 | I_kwDOB-71UM5lHWDs | 9,326 | [bug] urllib3 breaks lightweight components in Vertex AI and kubeflow pipelines with 2.0.x | {
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"Fixed in: https://github.com/kubeflow/pipelines/pull/9323",
"This issue is resolved in the latest v1 and v2 releases: [`kfp==1.8.21`](https://pypi.org/project/kfp/1.8.21/) and [`kfp==2.0.0b16`](https://pypi.org/project/kfp/2.0.0b16/).\r\n\r\n**Preferred solution**\r\nPip install and recompile your pipelines with... | 2023-05-04T17:38:30 | 2023-05-04T23:30:14 | 2023-05-04T22:13:39 | MEMBER | null | ### Environment
kfp[all]==2.0.0b15 # Although the version seems to impact all kfp versions see issue [930](https://github.com/kubeflow/pipelines/issues/9300)
* How do you deploy Kubeflow Pipelines (KFP)?
Vertex AI Pipelines
* KFP version:
Vertex AI Pipelines
* KFP SDK version:
kfp[all]==2.0.0b15
#... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9320 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9320/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9320/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9320/events | https://github.com/kubeflow/pipelines/issues/9320 | 1,695,939,161 | I_kwDOB-71UM5lFfpZ | 9,320 | [sdk] KeyError: 'custom-training-job' when create_custom_training_job_from_component() is called after creating a pipeline task | {
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"I got the same problem and for me the workaround for now has been to declare all the custom training job ops outside of the pipeline definition, as shown here: https://cloud.google.com/vertex-ai/docs/pipelines/request-gcp-machine-resources\r\n\r\nNot the best solution (would prefer to declare them inside the pipel... | 2023-05-04T12:44:55 | 2023-08-30T08:49:00 | null | NONE | null | ### Environment
* KFP SDK version: 2.0.0-beta.15
<!-- Specify the version of Kubeflow Pipelines that you are using. The version number appears in the left side navigation of user interface.
To find the version number, See version number shows on bottom of KFP UI left sidenav. -->
* All dependency versions:
... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9319 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9319/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9319/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9319/events | https://github.com/kubeflow/pipelines/issues/9319 | 1,695,175,302 | I_kwDOB-71UM5lClKG | 9,319 | Add a security policy | {
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"login": "chensun",
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I run a security community that finds and fixes vulnerabilities in OSS. A researcher (@sim4n6) has found a potential issue, which I would be eager to share with you.
Could you add a `SECURITY.md` file with an e-mail address for me to send further details to? GitHub [recommends](https://docs.github.com/en/cod... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9316 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9316/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9316/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9316/events | https://github.com/kubeflow/pipelines/issues/9316 | 1,695,105,640 | I_kwDOB-71UM5lCUJo | 9,316 | [backend] Untracked changes on master after `git clone` | {
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"I was able to reproduce but not the same error message:\r\n\r\n> git clone git@github.com:kubeflow/pipelines.git\r\n> Cloning into 'pipelines'...\r\n> remote: Enumerating objects: 100585, done.\r\n> remote: Counting objects: 100% (2910/2910), done.\r\n> remote: Compressing objects: 100% (1434/1434), done.\r\n> rem... | 2023-05-04T01:51:02 | 2023-05-05T19:32:59 | 2023-05-05T19:32:59 | NONE | null | ### Environment
On MacOS.
```
➜ git clone https://github.com/kubeflow/pipelines.git
Cloning into 'pipelines'...
remote: Enumerating objects: 100317, done.
remote: Counting objects: 100% (2590/2590), done.
remote: Compressing objects: 100% (1191/1191), done.
remote: Total 100317 (delta 1461), reused 2211 (d... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9300 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9300/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9300/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9300/events | https://github.com/kubeflow/pipelines/issues/9300 | 1,694,497,035 | I_kwDOB-71UM5k__kL | 9,300 | [sdk] `kfp<=1.8.20` incompatible with `urllib3>=2.0.0` | {
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"This is related to: [request issue](https://github.com/requests/toolbelt/issues/361) I had to start upgrading to 2.0.0b15",
"Actually nevermind it also happens in the 2.0.x versions see [issue](https://github.com/googleapis/python-aiplatform/issues/2167)",
"This issue is resolved in the latest v1 and v2 releas... | 2023-05-03T17:27:05 | 2023-05-04T22:13:52 | 2023-05-04T22:13:52 | 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: 1.8.20
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