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https://api.github.com/repos/kubeflow/pipelines/issues/9980 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9980/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9980/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9980/events | https://github.com/kubeflow/pipelines/issues/9980 | 1,894,144,464 | I_kwDOB-71UM5w5lnQ | 9,980 | [feature] Enable Setting Image Pull Policy in V2 SDK | {
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/area sdk
### What feature would you like to see?
KFP V1 supported setting the image pull policy [link](https://github.com/kubeflow/pipelines/blob/4bee3d8dc2ee9c33d87e1058bac2a94d899dd4a5/sdk/python/kfp/deprecated/dsl/_container_op.py#L518)
This feature is currently not available in KFP V2
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### Environment
* How do you deploy Kubeflow Pipelines (KFP)? </br>
Using kubeflow sdk
* KFP version: </br>
1.7
* KFP SDK version: </br>
1.8.17
* Python base image used: </br>
Image tag: python:3.8-slim </br>
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"u... | open | false | null | [] | null | [] | 2023-09-12T09:43:48 | 2023-09-12T13:01:04 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Kubeflow Pipelines as part of a full Kubeflow deployment provides all Kubeflow components and more integration with each platform
Kubeflow is deployed on top of AWS EKS cluster.
* KFP version: v2
* KFP SDK version: Issue identified in UI, possib... | {
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"I've been impacted by this change as well and I think it's a behavior change in the latest version of KFP 2.1.3 only. I was able to get my pipeline running by using KFP 2.0.1.\r\n\r\nI think the \"issue\" might be coming from the following commit https://github.com/kubeflow/pipelines/pull/9886/commits/80881c12ee2a... | 2023-09-12T08:07:41 | 2023-09-13T11:09:14 | null | NONE | null | ### Environment
#### Relevant package versions
kfp==2.1.3
google-cloud-pipeline-components==2.3.1
google-cloud-aiplatform==1.32.0
kfp-pipeline-spec== 0.2.2
kfp-server-api == 2.0.1
### Steps to reproduce
After upgrading to KFP V2, Initializing a component as follows doesn't work:
```python
from kfp.dsl... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9970 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9970/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9970/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9970/events | https://github.com/kubeflow/pipelines/issues/9970 | 1,889,838,578 | I_kwDOB-71UM5wpKXy | 9,970 | Usage of Kubeflow Pipelines v2 | {
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"> set gpu resources (.set_gpu_limit())\r\n\r\n`set_gpu_limit()` has been renamed to [`set_accelerator_limit`](https://kubeflow-pipelines.readthedocs.io/en/sdk-2.0.1/source/dsl.html?h=set_acc#kfp.dsl.PipelineTask.set_accelerator_limit) so that is covers both GPU and TPU (on Vertex). Meanwhile, `set_gpu_limit` still... | 2023-09-11T07:20:36 | 2023-09-12T01:35:55 | null | NONE | null | Hello,
we have upgraded our Kubeflow Pipelines to version 2.0.1. We are now having a lot of trouble rewriting our code from version 1.8. We are missing the following features (maybe we just didn't find them in v2):
- set gpu resources (.set_gpu_limit())
- mount hostPath (.add_volume(), add_volume_mount())
- .s... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9962 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9962/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9962/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9962/events | https://github.com/kubeflow/pipelines/issues/9962 | 1,887,425,701 | I_kwDOB-71UM5wf9Sl | 9,962 | [backend] Persistence Agent failing kubeflow-pipeline-mkp-test (2) | {
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Having in mind issue: [Persistence agent failing kubeflow-pipeline-mkp-test](https://github.com/kubeflow/pipelines/issues/9904) that appeared after changes in the Persistence agent manifests files - I guess that the mkp-test may fail again after the merge of [this](https://github.com/kubeflow/pi... | {
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"@fclesio, I think the best solution for what you are trying to achieve is to compose the tasks together into a sequential DAG using a pipeline. Please take a look at the docs on [data passing and task dependencies](https://www.kubeflow.org/docs/components/pipelines/v2/pipelines/pipeline-basics/#data-passing-and-ta... | 2023-09-06T20:53:45 | 2023-09-08T14:47:16 | 2023-09-07T22:50:17 | NONE | null | Thanks once again for the great library.
I have a ML pipeline that consists in 3 tasks: ETL > Pre-Processing > Modelling and Deploy.
Since those tasks are sequential, I created 3 pipelines and I used the [kfp.client.run_pipeline ](https://github.com/kubeflow/pipelines/blob/master/sdk/python/kfp/client/client.p... | {
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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:
<!-- Specify the version of Kubeflow Pipelin... | {
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"**In Kfp 2.0.1 retry on policy is not present.**\r\n\r\n**Old Code**\r\n```\r\n def set_retry(self,\r\n num_retries: int,\r\n policy: Optional[str] = None,\r\n backoff_duration: Optional[str] = None,\r\n backoff_factor: Optional[float] = None,\... | 2023-08-31T12:31:13 | 2023-09-02T13:17:07 | null | NONE | null | ### Environment
<!-- Please fill in those that seem relevant. -->
* How do you deploy Kubeflow Pipelines (KFP)?
* KFP version: 2.0.0
To find the version number, See version number shows on bottom of KFP UI left sidenav. -->
* KFP SDK version: 2.0.1
### Steps to reproduce
You can run the following code t... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9949 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9949/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9949/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9949/events | https://github.com/kubeflow/pipelines/issues/9949 | 1,875,251,131 | I_kwDOB-71UM5vxg-7 | 9,949 | Deprecated setup.cfg used in pyyaml@5.4.1 version not compatible with Python versions 3.10 and above | {
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"This is fixed. See [requirements](https://github.com/kubeflow/pipelines/blob/3b8cea060fc3088520666fea26e6452bda2fdb15/sdk/python/requirements.in#L22)."
] | 2023-08-31T10:34:16 | 2023-09-07T22:36:55 | 2023-09-07T22:36:54 | NONE | null | ### Description
`pip install -r requirements.txt` fails on Python 3.10 and 3.11 due to deprecated setup.cfg in pyyaml 5.4.1 using `license_file` instead of `license_files` . According to PyYaml this problem was fixed and recommended version is 6.0.1.
Fixing this issue may require to update requirements to accept `pyy... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9942 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9942/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9942/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9942/events | https://github.com/kubeflow/pipelines/issues/9942 | 1,871,704,455 | I_kwDOB-71UM5vj_GH | 9,942 | [feature] Add support for Habana device cards | {
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"u... | open | false | null | [] | null | [] | 2023-08-29T13:40:47 | 2023-08-29T13:40:50 | null | NONE | null | ### Feature Area
/area sdk
/area samples
### What feature would you like to see?
I would like to have the option to choose if I would like to use Nvidia gpu cards or Habana pci cards.
The only difference is with the requests to change it from `nvidia.com/gpu` to `habana.ai/gaudi`
At the backend we are... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9941 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9941/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9941/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9941/events | https://github.com/kubeflow/pipelines/issues/9941 | 1,871,084,656 | I_kwDOB-71UM5vhnxw | 9,941 | Kubeflow error:Invalid input error: Job has no experiment. code:3 message | {
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"You need first to create an experiment and than use it's id in run, passing it as a parameter.",
"> \r\n\r\nPlease provide advice on how to create an [experiment](https://www.kubeflow.org/docs/components/pipelines/v2/reference/api/kubeflow-pipeline-api-spec/#operation--apis-v2beta1-experiments-post) using [Kube... | 2023-08-29T07:41:43 | 2023-09-07T22:47:11 | null | NONE | null | I am following tutorial of Kubeflow Pipelines API: [[Kubeflow](https://www.kubeflow.org/docs/components/pipelines/v1/tutorials/api-pipelines/)] & [Kubeflow Pipelines API](https://www.kubeflow.org/docs/components/pipelines/v1/reference/api/kubeflow-pipeline-api-spec/)
I've installed Kubeflow on a MicroK8s and sta... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9940 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9940/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9940/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9940/events | https://github.com/kubeflow/pipelines/issues/9940 | 1,870,687,285 | I_kwDOB-71UM5vgGw1 | 9,940 | [bug] Always 404 on kfp sdk | {
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"Which version of the KFP BE do you have deployed?\r\n\r\ncc @chensun"
] | 2023-08-29T00:25:14 | 2023-09-07T22:44:39 | null | NONE | null | I was using kfp==2.0.0b12 and everything was working great. But as soon as i got into 2.0.1 I am always getting 404 when trying to use methods from client, like this:
`kfp_server_api.exceptions.ApiException: (404)
Reason: Not Found
HTTP response headers: HTTPHeaderDict({'x-powered-by': 'Express', 'content-security... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9937 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9937/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9937/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9937/events | https://github.com/kubeflow/pipelines/issues/9937 | 1,869,601,448 | I_kwDOB-71UM5vb9qo | 9,937 | [feature] Make Persistence Agent use SA Token when calling KF APIServer endpoints | {
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"/assign @difince "
] | 2023-08-28T11:48:07 | 2023-09-07T23:49:34 | 2023-09-07T23:49:34 | 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?
Currently, when the Persistence Agent (PA) calls KFPipeline APIs - ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9933 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9933/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9933/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9933/events | https://github.com/kubeflow/pipelines/issues/9933 | 1,867,215,948 | I_kwDOB-71UM5vS3RM | 9,933 | module 'kfp.components' has no attribute 'create_component_from_func' | {
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"For KFP SDK v2, please use the `@dsl.component` decorator. See [documentation on Lightweight Python Components](https://www.kubeflow.org/docs/components/pipelines/v2/components/lightweight-python-components/) for more information."
] | 2023-08-25T15:02:38 | 2023-09-07T22:42:16 | 2023-09-07T22:42:15 | NONE | null | ### Environment
I am trying to build the Kubeflow pipeline. i am using version 2.0.1.
I am getting this error:
module 'kfp.components' has no attribute 'create_component_from_func'
And along i i followed the document of KFPv2 there are some code already written in docs for the testing it has already created s... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9924 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9924/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9924/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9924/events | https://github.com/kubeflow/pipelines/issues/9924 | 1,863,477,869 | I_kwDOB-71UM5vEmpt | 9,924 | [backend] Cannot inject environment variables and volumes into components with the KFP CLI | {
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"u... | open | false | null | [] | null | [] | 2023-08-23T14:40:25 | 2023-08-23T14:40:25 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Full Kubeflow Deployment
* KFP version: 1.7.0 (we are using Kubeflow 1.7.0)
* KFP SDK version: 2.0.1
### Steps to reproduce
The injection of environment variables and secrets into components is not working correctly with kfpv2. Please loo... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9906 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9906/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9906/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9906/events | https://github.com/kubeflow/pipelines/issues/9906 | 1,857,198,876 | I_kwDOB-71UM5uspsc | 9,906 | [frontend] No Logs tab in UI | {
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"Hi @Saurav-D,\r\n\r\nLogs are available in KFP 2.0.0. It is expected to be included in Kubeflow 1.8 (releasing in 2023 Q4)"
] | 2023-08-18T19:33:17 | 2023-08-24T22:48:53 | 2023-08-24T22:48:52 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
AWS, Terraform, Vanilla
* KFP version:
KFP 1.7
pipeline: 2.0.0-alpha.7
### Steps to reproduce
Run any pipeline
### Expected result
Logs tab with logs. Right now, I just see Input/Output and Task Details. Also, I don't see pod ID.
... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9904 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9904/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9904/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9904/events | https://github.com/kubeflow/pipelines/issues/9904 | 1,856,240,751 | I_kwDOB-71UM5uo_xv | 9,904 | [backend] Persistence agent failing `kubeflow-pipeline-mkp-test` | {
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"### Exploration\r\n\r\nI granted `roles/iam.serviceAccountTokenCreator` to the GCE default service account: https://cloud.google.com/iam/docs/service-account-permissions#token-creator-role, and retried the mkt-test. If this permission unblocks the test, then we will need to do one of the followings:\r\n\r\n1. Make... | 2023-08-18T07:49:37 | 2023-08-21T20:08:43 | 2023-08-21T20:08:43 | COLLABORATOR | null | ### Environment
Currently `/test kubeflow-pipeline-mkp-test` is failing on HEAD.
### Steps to reproduce
In https://github.com/kubeflow/pipelines/commit/cb18d00bbbaed9cd77fc50dce739ed62c72b2356#diff-7df17678529866306ef6665ffbeeda377a1e869aca24856f7cf8a99891877fe8, service account token projection is introduce... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9893 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9893/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9893/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9893/events | https://github.com/kubeflow/pipelines/issues/9893 | 1,855,183,517 | I_kwDOB-71UM5uk9qd | 9,893 | [bug] Can't increase/attach shared memory to pipeline task in kfp sdk v2, e.g. PyTorch training fails. | {
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"Hi @hsteude!\r\n\r\nYou can specify memory requests using SDK: `.set_memory_request()` and `.set_memory_limit()`: https://kubeflow-pipelines.readthedocs.io/en/sdk-2.0.1/source/dsl.html?h=set_memory#kfp.dsl.PipelineTask.set_memory_request",
"Hi @gkcalat and thanks for your answer!\r\n\r\nUnfortunately, using `.se... | 2023-08-17T15:01:45 | 2023-09-06T11:48:12 | 2023-08-24T22:54:22 | CONTRIBUTOR | null | ### Environment
* How do you deploy Kubeflow Pipelines (KFP)?
Manifests
* KFP version:
2.0.0
* KFP SDK version:
2.0.1
### Steps to reproduce
Create and run a simple PyTorch (lightning) training pipeline:
```python
from kfp import dsl
from kfp.client import Client
# define pytorch (lightning) tr... | {
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"/assign @difince ",
"Fixed by https://github.com/kubeflow/pipelines/pull/9892"
] | 2023-08-17T14:04:00 | 2023-08-17T17:09:24 | 2023-08-17T17:09:24 | MEMBER | null | ### Environment
The issue is introduced by [PR](https://github.com/kubeflow/pipelines/pull/9699)
1. `DefaultTokenRefresherInterval` of 1 hour is initialized in nanoseconds (3600000000000) see here:
https://github.com/kubeflow/pipelines/blob/cb18d00bbbaed9cd77fc50dce739ed62c72b2356/backend/src/agent/persistence/m... | {
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The listruns query is also very slow (seconds for large run_details tables).
It must also be migrated to joins or something other more performant
Already this small database leads to 15 seconds per listruns api ca... | {
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* How did you deploy Kubeflow Pipelines (KFP)? Kubeflow 1.7/1.8
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP version: 2.0.0alpha7, but its also in the master branch
<!-- Specify the version of Ku... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9883 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9883/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9883/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9883/events | https://github.com/kubeflow/pipelines/issues/9883 | 1,853,599,683 | I_kwDOB-71UM5ue6_D | 9,883 | 8/16/23 Presumbit e2e test failure | {
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"The frontend test failure seems to be flaky. \r\n\r\nIn another run, it failed on basic sample tests:\r\n```\r\nintegration-test-q5mqw-2112930252: Traceback (most recent call last):\r\nintegration-test-q5mqw-2112930252: File \"exit_handler.py\", line 26, in <module>\r\nintegration-test-q5mqw-2112930252: @com... | 2023-08-16T16:54:10 | 2023-08-17T09:33:39 | 2023-08-17T09:33:39 | COLLABORATOR | null | ERROR: type should be string, got "\r\nhttps://oss.gprow.dev/view/gs/oss-prow/pr-logs/pull/kubeflow_pipelines/9873/kubeflow-pipeline-e2e-test/1691525546791407616\r\n```\r\nintegration-test-g8t6t-369894966: [0-0] AssertionError in \"deploy helloworld sample run.shows a 4-node static graph\"\r\nintegration-test-g8t6t-369894966: AssertionError [ERR_ASSERTION]: should have a 4-node graph, instead has: 0\r\nintegration-test-g8t6t-369894966: at Context.<anonymous> (/src/helloworld.spec.js:70:5)\r\nintegration-test-g8t6t-369894966: at processTicksAndRejections (node:internal/process/task_queues:96:5)\r\nintegration-test-g8t6t-369894966: 19:49:32.603 WARN [SeleniumSpanExporter$1.lambda$export$3] - {\"traceId\": \"2ae031a384cadb8eb7f70e9a187d622b\",\"eventTime\": 1692128972602956682,\"eventName\": \"HTTP request execution complete\",\"attributes\": {\"http.flavor\": 1,\"http.handler_class\": \"org.openqa.selenium.remote.http.Route$PredicatedRoute\",\"http.host\": \"127.0.0.1:4444\",\"http.method\": \"POST\",\"http.request_content_length\": \"8346\",\"http.scheme\": \"HTTP\",\"http.status_code\": 404,\"http.target\": \"\\u002fsession\\u002fd0c75f008d8950640953b1914f2f233a\\u002fexecute\\u002fsync\",\"http.user_agent\": \"webdriver\\u002f8.3.2\"}}\r\nintegration-test-g8t6t-369894966: \r\nintegration-test-g8t6t-369894966: 19:49:33.711 WARN [SeleniumSpanExporter$1.lambda$export$3] - {\"traceId\": \"72fe6381777527734f56dd38817f7a8e\",\"eventTime\": 1692128973710578070,\"eventName\": \"HTTP request execution complete\",\"attributes\": {\"http.flavor\": 1,\"http.handler_class\": \"org.openqa.selenium.remote.http.Route$PredicatedRoute\",\"http.host\": \"127.0.0.1:4444\",\"http.method\": \"POST\",\"http.request_content_length\": \"8346\",\"http.scheme\": \"HTTP\",\"http.status_code\": 404,\"http.target\": \"\\u002fsession\\u002fd0c75f008d8950640953b1914f2f233a\\u002fexecute\\u002fsync\",\"http.user_agent\": \"webdriver\\u002f8.3.2\"}}\r\nintegration-test-g8t6t-369894966: \r\nintegration-test-g8t6t-369894966: Handling connection for 3000\r\nintegration-test-g8t6t-369894966: Handling connection for 3000\r\nintegration-test-g8t6t-369894966: 19:50:20.670 INFO [LocalSessionMap.lambda$new$0] - Deleted session from local Session Map, Id: d0c75f008d8950640953b1914f2f233a\r\nintegration-test-g8t6t-369894966: 19:50:20.672 INFO [GridModel.release] - Releasing slot for session id d0c75f008d8950640953b1914f2f233a\r\nintegration-test-g8t6t-369894966: 19:50:20.675 INFO [SessionSlot.stop] - Stopping session d0c75f008d8950640953b1914f2f233a\r\nintegration-test-g8t6t-369894966: [0-0] FAILED in chrome - file:///helloworld.spec.js\r\n```" | {
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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?
Allow dataflow to be launched with a fixed python and beam sdk version.
A... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9980 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9980/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9980/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9980/events | https://github.com/kubeflow/pipelines/issues/9980 | 1,894,144,464 | I_kwDOB-71UM5w5lnQ | 9,980 | [feature] Enable Setting Image Pull Policy in V2 SDK | {
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/area sdk
### What feature would you like to see?
KFP V1 supported setting the image pull policy [link](https://github.com/kubeflow/pipelines/blob/4bee3d8dc2ee9c33d87e1058bac2a94d899dd4a5/sdk/python/kfp/deprecated/dsl/_container_op.py#L518)
This feature is currently not available in KFP V2
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### Environment
* How do you deploy Kubeflow Pipelines (KFP)? </br>
Using kubeflow sdk
* KFP version: </br>
1.7
* KFP SDK version: </br>
1.8.17
* Python base image used: </br>
Image tag: python:3.8-slim </br>
... | {
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* How did you deploy Kubeflow Pipelines (KFP)?
Kubeflow Pipelines as part of a full Kubeflow deployment provides all Kubeflow components and more integration with each platform
Kubeflow is deployed on top of AWS EKS cluster.
* KFP version: v2
* KFP SDK version: Issue identified in UI, possib... | {
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"I've been impacted by this change as well and I think it's a behavior change in the latest version of KFP 2.1.3 only. I was able to get my pipeline running by using KFP 2.0.1.\r\n\r\nI think the \"issue\" might be coming from the following commit https://github.com/kubeflow/pipelines/pull/9886/commits/80881c12ee2a... | 2023-09-12T08:07:41 | 2023-09-13T11:09:14 | null | NONE | null | ### Environment
#### Relevant package versions
kfp==2.1.3
google-cloud-pipeline-components==2.3.1
google-cloud-aiplatform==1.32.0
kfp-pipeline-spec== 0.2.2
kfp-server-api == 2.0.1
### Steps to reproduce
After upgrading to KFP V2, Initializing a component as follows doesn't work:
```python
from kfp.dsl... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9970 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9970/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9970/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9970/events | https://github.com/kubeflow/pipelines/issues/9970 | 1,889,838,578 | I_kwDOB-71UM5wpKXy | 9,970 | Usage of Kubeflow Pipelines v2 | {
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"> set gpu resources (.set_gpu_limit())\r\n\r\n`set_gpu_limit()` has been renamed to [`set_accelerator_limit`](https://kubeflow-pipelines.readthedocs.io/en/sdk-2.0.1/source/dsl.html?h=set_acc#kfp.dsl.PipelineTask.set_accelerator_limit) so that is covers both GPU and TPU (on Vertex). Meanwhile, `set_gpu_limit` still... | 2023-09-11T07:20:36 | 2023-09-12T01:35:55 | null | NONE | null | Hello,
we have upgraded our Kubeflow Pipelines to version 2.0.1. We are now having a lot of trouble rewriting our code from version 1.8. We are missing the following features (maybe we just didn't find them in v2):
- set gpu resources (.set_gpu_limit())
- mount hostPath (.add_volume(), add_volume_mount())
- .s... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9962 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9962/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9962/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9962/events | https://github.com/kubeflow/pipelines/issues/9962 | 1,887,425,701 | I_kwDOB-71UM5wf9Sl | 9,962 | [backend] Persistence Agent failing kubeflow-pipeline-mkp-test (2) | {
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Having in mind issue: [Persistence agent failing kubeflow-pipeline-mkp-test](https://github.com/kubeflow/pipelines/issues/9904) that appeared after changes in the Persistence agent manifests files - I guess that the mkp-test may fail again after the merge of [this](https://github.com/kubeflow/pi... | {
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"@fclesio, I think the best solution for what you are trying to achieve is to compose the tasks together into a sequential DAG using a pipeline. Please take a look at the docs on [data passing and task dependencies](https://www.kubeflow.org/docs/components/pipelines/v2/pipelines/pipeline-basics/#data-passing-and-ta... | 2023-09-06T20:53:45 | 2023-09-08T14:47:16 | 2023-09-07T22:50:17 | NONE | null | Thanks once again for the great library.
I have a ML pipeline that consists in 3 tasks: ETL > Pre-Processing > Modelling and Deploy.
Since those tasks are sequential, I created 3 pipelines and I used the [kfp.client.run_pipeline ](https://github.com/kubeflow/pipelines/blob/master/sdk/python/kfp/client/client.p... | {
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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:
<!-- Specify the version of Kubeflow Pipelin... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9950 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9950/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9950/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9950/events | https://github.com/kubeflow/pipelines/issues/9950 | 1,875,434,182 | I_kwDOB-71UM5vyNrG | 9,950 | [bug] set_retry not working | {
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"**In Kfp 2.0.1 retry on policy is not present.**\r\n\r\n**Old Code**\r\n```\r\n def set_retry(self,\r\n num_retries: int,\r\n policy: Optional[str] = None,\r\n backoff_duration: Optional[str] = None,\r\n backoff_factor: Optional[float] = None,\... | 2023-08-31T12:31:13 | 2023-09-02T13:17:07 | null | NONE | null | ### Environment
<!-- Please fill in those that seem relevant. -->
* How do you deploy Kubeflow Pipelines (KFP)?
* KFP version: 2.0.0
To find the version number, See version number shows on bottom of KFP UI left sidenav. -->
* KFP SDK version: 2.0.1
### Steps to reproduce
You can run the following code t... | {
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"This is fixed. See [requirements](https://github.com/kubeflow/pipelines/blob/3b8cea060fc3088520666fea26e6452bda2fdb15/sdk/python/requirements.in#L22)."
] | 2023-08-31T10:34:16 | 2023-09-07T22:36:55 | 2023-09-07T22:36:54 | NONE | null | ### Description
`pip install -r requirements.txt` fails on Python 3.10 and 3.11 due to deprecated setup.cfg in pyyaml 5.4.1 using `license_file` instead of `license_files` . According to PyYaml this problem was fixed and recommended version is 6.0.1.
Fixing this issue may require to update requirements to accept `pyy... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9942 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9942/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9942/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9942/events | https://github.com/kubeflow/pipelines/issues/9942 | 1,871,704,455 | I_kwDOB-71UM5vj_GH | 9,942 | [feature] Add support for Habana device cards | {
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"u... | open | false | null | [] | null | [] | 2023-08-29T13:40:47 | 2023-08-29T13:40:50 | null | NONE | null | ### Feature Area
/area sdk
/area samples
### What feature would you like to see?
I would like to have the option to choose if I would like to use Nvidia gpu cards or Habana pci cards.
The only difference is with the requests to change it from `nvidia.com/gpu` to `habana.ai/gaudi`
At the backend we are... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9941 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9941/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9941/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9941/events | https://github.com/kubeflow/pipelines/issues/9941 | 1,871,084,656 | I_kwDOB-71UM5vhnxw | 9,941 | Kubeflow error:Invalid input error: Job has no experiment. code:3 message | {
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"You need first to create an experiment and than use it's id in run, passing it as a parameter.",
"> \r\n\r\nPlease provide advice on how to create an [experiment](https://www.kubeflow.org/docs/components/pipelines/v2/reference/api/kubeflow-pipeline-api-spec/#operation--apis-v2beta1-experiments-post) using [Kube... | 2023-08-29T07:41:43 | 2023-09-07T22:47:11 | null | NONE | null | I am following tutorial of Kubeflow Pipelines API: [[Kubeflow](https://www.kubeflow.org/docs/components/pipelines/v1/tutorials/api-pipelines/)] & [Kubeflow Pipelines API](https://www.kubeflow.org/docs/components/pipelines/v1/reference/api/kubeflow-pipeline-api-spec/)
I've installed Kubeflow on a MicroK8s and sta... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9940 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9940/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9940/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9940/events | https://github.com/kubeflow/pipelines/issues/9940 | 1,870,687,285 | I_kwDOB-71UM5vgGw1 | 9,940 | [bug] Always 404 on kfp sdk | {
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"Which version of the KFP BE do you have deployed?\r\n\r\ncc @chensun"
] | 2023-08-29T00:25:14 | 2023-09-07T22:44:39 | null | NONE | null | I was using kfp==2.0.0b12 and everything was working great. But as soon as i got into 2.0.1 I am always getting 404 when trying to use methods from client, like this:
`kfp_server_api.exceptions.ApiException: (404)
Reason: Not Found
HTTP response headers: HTTPHeaderDict({'x-powered-by': 'Express', 'content-security... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9937 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9937/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9937/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9937/events | https://github.com/kubeflow/pipelines/issues/9937 | 1,869,601,448 | I_kwDOB-71UM5vb9qo | 9,937 | [feature] Make Persistence Agent use SA Token when calling KF APIServer endpoints | {
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"/assign @difince "
] | 2023-08-28T11:48:07 | 2023-09-07T23:49:34 | 2023-09-07T23:49:34 | 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?
Currently, when the Persistence Agent (PA) calls KFPipeline APIs - ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9933 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9933/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9933/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9933/events | https://github.com/kubeflow/pipelines/issues/9933 | 1,867,215,948 | I_kwDOB-71UM5vS3RM | 9,933 | module 'kfp.components' has no attribute 'create_component_from_func' | {
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"For KFP SDK v2, please use the `@dsl.component` decorator. See [documentation on Lightweight Python Components](https://www.kubeflow.org/docs/components/pipelines/v2/components/lightweight-python-components/) for more information."
] | 2023-08-25T15:02:38 | 2023-09-07T22:42:16 | 2023-09-07T22:42:15 | NONE | null | ### Environment
I am trying to build the Kubeflow pipeline. i am using version 2.0.1.
I am getting this error:
module 'kfp.components' has no attribute 'create_component_from_func'
And along i i followed the document of KFPv2 there are some code already written in docs for the testing it has already created s... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9924 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9924/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9924/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9924/events | https://github.com/kubeflow/pipelines/issues/9924 | 1,863,477,869 | I_kwDOB-71UM5vEmpt | 9,924 | [backend] Cannot inject environment variables and volumes into components with the KFP CLI | {
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"u... | open | false | null | [] | null | [] | 2023-08-23T14:40:25 | 2023-08-23T14:40:25 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Full Kubeflow Deployment
* KFP version: 1.7.0 (we are using Kubeflow 1.7.0)
* KFP SDK version: 2.0.1
### Steps to reproduce
The injection of environment variables and secrets into components is not working correctly with kfpv2. Please loo... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9906 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9906/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9906/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9906/events | https://github.com/kubeflow/pipelines/issues/9906 | 1,857,198,876 | I_kwDOB-71UM5uspsc | 9,906 | [frontend] No Logs tab in UI | {
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"Hi @Saurav-D,\r\n\r\nLogs are available in KFP 2.0.0. It is expected to be included in Kubeflow 1.8 (releasing in 2023 Q4)"
] | 2023-08-18T19:33:17 | 2023-08-24T22:48:53 | 2023-08-24T22:48:52 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
AWS, Terraform, Vanilla
* KFP version:
KFP 1.7
pipeline: 2.0.0-alpha.7
### Steps to reproduce
Run any pipeline
### Expected result
Logs tab with logs. Right now, I just see Input/Output and Task Details. Also, I don't see pod ID.
... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9904 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9904/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9904/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9904/events | https://github.com/kubeflow/pipelines/issues/9904 | 1,856,240,751 | I_kwDOB-71UM5uo_xv | 9,904 | [backend] Persistence agent failing `kubeflow-pipeline-mkp-test` | {
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"### Exploration\r\n\r\nI granted `roles/iam.serviceAccountTokenCreator` to the GCE default service account: https://cloud.google.com/iam/docs/service-account-permissions#token-creator-role, and retried the mkt-test. If this permission unblocks the test, then we will need to do one of the followings:\r\n\r\n1. Make... | 2023-08-18T07:49:37 | 2023-08-21T20:08:43 | 2023-08-21T20:08:43 | COLLABORATOR | null | ### Environment
Currently `/test kubeflow-pipeline-mkp-test` is failing on HEAD.
### Steps to reproduce
In https://github.com/kubeflow/pipelines/commit/cb18d00bbbaed9cd77fc50dce739ed62c72b2356#diff-7df17678529866306ef6665ffbeeda377a1e869aca24856f7cf8a99891877fe8, service account token projection is introduce... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9893 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9893/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9893/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9893/events | https://github.com/kubeflow/pipelines/issues/9893 | 1,855,183,517 | I_kwDOB-71UM5uk9qd | 9,893 | [bug] Can't increase/attach shared memory to pipeline task in kfp sdk v2, e.g. PyTorch training fails. | {
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"Hi @hsteude!\r\n\r\nYou can specify memory requests using SDK: `.set_memory_request()` and `.set_memory_limit()`: https://kubeflow-pipelines.readthedocs.io/en/sdk-2.0.1/source/dsl.html?h=set_memory#kfp.dsl.PipelineTask.set_memory_request",
"Hi @gkcalat and thanks for your answer!\r\n\r\nUnfortunately, using `.se... | 2023-08-17T15:01:45 | 2023-09-06T11:48:12 | 2023-08-24T22:54:22 | CONTRIBUTOR | null | ### Environment
* How do you deploy Kubeflow Pipelines (KFP)?
Manifests
* KFP version:
2.0.0
* KFP SDK version:
2.0.1
### Steps to reproduce
Create and run a simple PyTorch (lightning) training pipeline:
```python
from kfp import dsl
from kfp.client import Client
# define pytorch (lightning) tr... | {
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"/assign @difince ",
"Fixed by https://github.com/kubeflow/pipelines/pull/9892"
] | 2023-08-17T14:04:00 | 2023-08-17T17:09:24 | 2023-08-17T17:09:24 | MEMBER | null | ### Environment
The issue is introduced by [PR](https://github.com/kubeflow/pipelines/pull/9699)
1. `DefaultTokenRefresherInterval` of 1 hour is initialized in nanoseconds (3600000000000) see here:
https://github.com/kubeflow/pipelines/blob/cb18d00bbbaed9cd77fc50dce739ed62c72b2356/backend/src/agent/persistence/m... | {
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The listruns query is also very slow (seconds for large run_details tables).
It must also be migrated to joins or something other more performant
Already this small database leads to 15 seconds per listruns api ca... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9889 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9889/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9889/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9889/events | https://github.com/kubeflow/pipelines/issues/9889 | 1,854,615,495 | I_kwDOB-71UM5uiy_H | 9,889 | [backend] Security exploit in mlpipeline-UI | {
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* How did you deploy Kubeflow Pipelines (KFP)? Kubeflow 1.7/1.8
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP version: 2.0.0alpha7, but its also in the master branch
<!-- Specify the version of Ku... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9883 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9883/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9883/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9883/events | https://github.com/kubeflow/pipelines/issues/9883 | 1,853,599,683 | I_kwDOB-71UM5ue6_D | 9,883 | 8/16/23 Presumbit e2e test failure | {
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"The frontend test failure seems to be flaky. \r\n\r\nIn another run, it failed on basic sample tests:\r\n```\r\nintegration-test-q5mqw-2112930252: Traceback (most recent call last):\r\nintegration-test-q5mqw-2112930252: File \"exit_handler.py\", line 26, in <module>\r\nintegration-test-q5mqw-2112930252: @com... | 2023-08-16T16:54:10 | 2023-08-17T09:33:39 | 2023-08-17T09:33:39 | COLLABORATOR | null | ERROR: type should be string, got "\r\nhttps://oss.gprow.dev/view/gs/oss-prow/pr-logs/pull/kubeflow_pipelines/9873/kubeflow-pipeline-e2e-test/1691525546791407616\r\n```\r\nintegration-test-g8t6t-369894966: [0-0] AssertionError in \"deploy helloworld sample run.shows a 4-node static graph\"\r\nintegration-test-g8t6t-369894966: AssertionError [ERR_ASSERTION]: should have a 4-node graph, instead has: 0\r\nintegration-test-g8t6t-369894966: at Context.<anonymous> (/src/helloworld.spec.js:70:5)\r\nintegration-test-g8t6t-369894966: at processTicksAndRejections (node:internal/process/task_queues:96:5)\r\nintegration-test-g8t6t-369894966: 19:49:32.603 WARN [SeleniumSpanExporter$1.lambda$export$3] - {\"traceId\": \"2ae031a384cadb8eb7f70e9a187d622b\",\"eventTime\": 1692128972602956682,\"eventName\": \"HTTP request execution complete\",\"attributes\": {\"http.flavor\": 1,\"http.handler_class\": \"org.openqa.selenium.remote.http.Route$PredicatedRoute\",\"http.host\": \"127.0.0.1:4444\",\"http.method\": \"POST\",\"http.request_content_length\": \"8346\",\"http.scheme\": \"HTTP\",\"http.status_code\": 404,\"http.target\": \"\\u002fsession\\u002fd0c75f008d8950640953b1914f2f233a\\u002fexecute\\u002fsync\",\"http.user_agent\": \"webdriver\\u002f8.3.2\"}}\r\nintegration-test-g8t6t-369894966: \r\nintegration-test-g8t6t-369894966: 19:49:33.711 WARN [SeleniumSpanExporter$1.lambda$export$3] - {\"traceId\": \"72fe6381777527734f56dd38817f7a8e\",\"eventTime\": 1692128973710578070,\"eventName\": \"HTTP request execution complete\",\"attributes\": {\"http.flavor\": 1,\"http.handler_class\": \"org.openqa.selenium.remote.http.Route$PredicatedRoute\",\"http.host\": \"127.0.0.1:4444\",\"http.method\": \"POST\",\"http.request_content_length\": \"8346\",\"http.scheme\": \"HTTP\",\"http.status_code\": 404,\"http.target\": \"\\u002fsession\\u002fd0c75f008d8950640953b1914f2f233a\\u002fexecute\\u002fsync\",\"http.user_agent\": \"webdriver\\u002f8.3.2\"}}\r\nintegration-test-g8t6t-369894966: \r\nintegration-test-g8t6t-369894966: Handling connection for 3000\r\nintegration-test-g8t6t-369894966: Handling connection for 3000\r\nintegration-test-g8t6t-369894966: 19:50:20.670 INFO [LocalSessionMap.lambda$new$0] - Deleted session from local Session Map, Id: d0c75f008d8950640953b1914f2f233a\r\nintegration-test-g8t6t-369894966: 19:50:20.672 INFO [GridModel.release] - Releasing slot for session id d0c75f008d8950640953b1914f2f233a\r\nintegration-test-g8t6t-369894966: 19:50:20.675 INFO [SessionSlot.stop] - Stopping session d0c75f008d8950640953b1914f2f233a\r\nintegration-test-g8t6t-369894966: [0-0] FAILED in chrome - file:///helloworld.spec.js\r\n```" | {
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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?
Allow dataflow to be launched with a fixed python and beam sdk version.
A... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9880 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9880/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9880/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9880/events | https://github.com/kubeflow/pipelines/issues/9880 | 1,853,042,160 | I_kwDOB-71UM5ucy3w | 9,880 | [feature] request a minimum amount of GPU VRAM for scheduling | {
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"u... | open | false | null | [] | null | [] | 2023-08-16T11:27:45 | 2023-08-16T11:27:55 | null | CONTRIBUTOR | null | ### Feature Area
/area sdk
### What feature would you like to see?
When using the GPU Operator a lot of labels are generated[^1] to the nodes such as:
- `nvidia.com/gpu.memory` (Integer)
- `nvidia.com/cuda.runtime.major` (Integer)
etc..
It is possible in Kubernetes to add nodeAffinity with comparaison ... | {
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"@samoturk did you check your cluster's resource usage? Is that possible it run out of memory, etc.?",
"No the cluster didn't run out of memory. I reproduced this error on two cluster, a smaller one with 64GB and a one with >1TB RAM. The attached example uses alpine Linux image which is quite frugal and that pipe... | 2023-08-16T08:07:02 | 2023-08-21T06:49:12 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Manifests
* KFP version:
2.0.0
* KFP SDK version:
2.0.1
### Steps to reproduce
Running a pipeline that has more than 22 tasks. Can be completely sequential or branched. Minimal example to reproduce:
```python
from utils.auth_session i... | {
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"@ianonavy, this would unfortunately be a breaking change and cannot be done within KFP SDK major version 2. While the Python language features in 3.11 should be backward compatible with those in 3.7, there almost certainly exists some user code which has [dependencies](https://kubeflow-pipelines.readthedocs.io/en/... | 2023-08-15T13:56:22 | 2023-08-24T23:05:49 | 2023-08-24T23:05:48 | NONE | null | ### Feature Area
/area sdk
### What feature would you like to see?
I'd like to see the default base image for Python function-based components be updated to Python 3.11. Example [here](https://github.com/kubeflow/pipelines/commit/7e9ea23612da0be10e784aea1f1a6812964b58fa).
### What is the use case or pain po... | {
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"Hi @GfxKai!\r\n\r\nHave you considered keeping track of the Model artfiact uris and passing it to the model eval pipeline?",
"Given that artifact URIs are generated by Kubeflow internally and the whole point of MLMD is to track them, I feel like the best practice should be to query KFP + MLMD to retrieve those U... | 2023-08-15T13:07:44 | 2023-09-13T15:15:51 | null | NONE | null | ### Feature Area
/area sdk
/area components
### What feature would you like to see?
In KFP v2, there doesn't seem to be any way of using the KFP API from inside a pipeline component.
It would be great if the `PodDefault` for a Kubeflow Profile could be applied to pipeline task pods, enabling the KF service... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9864 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9864/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9864/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9864/events | https://github.com/kubeflow/pipelines/issues/9864 | 1,850,520,185 | I_kwDOB-71UM5uTLJ5 | 9,864 | [bug] Pipeline being compiled with cyclical reference | {
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<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP version: 1.8.22
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https://api.github.com/repos/kubeflow/pipelines/issues/9863 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9863/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9863/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9863/events | https://github.com/kubeflow/pipelines/issues/9863 | 1,850,505,726 | I_kwDOB-71UM5uTHn- | 9,863 | Pipeline component that trigger another pipeline | {
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"@fclesio, the closest thing KFP has to this is the ability to use pipelines within other pipelines (i.e., pipeline as a component). Here is some [documentation on this](https://www.kubeflow.org/docs/components/pipelines/v2/pipelines/pipeline-basics/#pipelines-as-components)."
] | 2023-08-14T20:39:26 | 2023-09-07T22:50:51 | 2023-09-07T22:50:51 | NONE | null | First at all thanks for the collaboration and put so much effort in this tool.
I would like to know if there's some component that emulates the behavior of the [TriggerDagRunOperator](https://airflow.apache.org/docs/apache-airflow/stable/_api/airflow/operators/trigger_dagrun/index.html#airflow.operators.trigger_dag... | {
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"closed by #9855 "
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https://api.github.com/repos/kubeflow/pipelines/issues/9859 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9859/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9859/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9859/events | https://github.com/kubeflow/pipelines/issues/9859 | 1,850,282,637 | I_kwDOB-71UM5uSRKN | 9,859 | Upgrade GORM to v2 | {
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"After some investigation, it feels like this is a colossal change that's impossible to break down. It also involves lots of trivial changes, such as change of function signatures, variable fields, and some functionalities no longer supported. There's a really good summary by another googler on the work items: http... | 2023-08-14T18:04:04 | 2023-08-23T17:46:44 | 2023-08-23T17:46:43 | COLLABORATOR | null | null | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9858 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9858/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9858/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9858/events | https://github.com/kubeflow/pipelines/issues/9858 | 1,850,111,976 | I_kwDOB-71UM5uRnfo | 9,858 | V2beta1PipelineTaskDetail inputs and outputs always empty | {
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"/assign @chensun \r\n\r\nHere is a reference to the Pipeline Artifact: https://www.kubeflow.org/docs/components/pipelines/v2/data-types/artifacts/. We currently suspect that this field in the API is under development and hasn't been populated yet."
] | 2023-08-14T16:16:56 | 2023-08-31T22:49:22 | null | NONE | null | ### Issue
With kfp v2 and v2 runtime:
1. The call to `client.get_run(id)` returns a `V2beta1Run` object
2. `V2beta1Run` has a `run_details` property of type `V2beta1RunDetails`
3. `V2beta1RunDetails` has a `task_details` property of type `V2beta1PipelineTaskDetail`
4. `V2beta1PipelineTaskDetail` has pro... | {
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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?
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https://api.github.com/repos/kubeflow/pipelines/issues/9848 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9848/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9848/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9848/events | https://github.com/kubeflow/pipelines/issues/9848 | 1,845,995,209 | I_kwDOB-71UM5uB6bJ | 9,848 | Upgrade KFP to newer version of MLMD | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9837 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9837/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9837/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9837/events | https://github.com/kubeflow/pipelines/issues/9837 | 1,843,706,754 | I_kwDOB-71UM5t5LuC | 9,837 | [bug] Failed to create a new run: etcdserver request is too large | {
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"Hello @vkatrychenko , can you share your pipeline template? Note that the etcdserver has a limitation on the size of request on 1.5MB. If the pipeline template is too large, it cannot be transmitted. ",
"Yeah, right. Dev team splitted the workflow and now everything is working fine. Thanks.",
"The ticket can b... | 2023-08-09T17:21:15 | 2023-09-06T11:19:29 | 2023-09-06T11:19:29 | NONE | null | ### Environment
Running kubeflow on AKS cluster v1.26.3
<!-- 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/. -->
Used this method... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9836 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9836/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9836/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9836/events | https://github.com/kubeflow/pipelines/issues/9836 | 1,843,066,297 | I_kwDOB-71UM5t2vW5 | 9,836 | [feature] Default Credentials for Custom Training Jobs in Vertex AI Pipelines. | {
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"@jirapast You need to provide your custom credential/SA when trying to bring up the custom training job within the pipeline. Reference: https://google-cloud-pipeline-components.readthedocs.io/en/google-cloud-pipeline-components-2.3.0/api/v1/custom_job.html#v1.custom_job.create_custom_training_job_from_component.se... | 2023-08-09T11:46:16 | 2023-08-31T22:57:10 | null | NONE | null | My colleague (**https://github.com/WanchanaMoonmuang**) and I implemented a Vertex AI Pipeline that included a custom training job. However, during our implementation, we encountered a bug related to credentials. After conducting a thorough investigation, we discovered that the credentials being used to run the Vertex ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9835 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9835/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9835/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9835/events | https://github.com/kubeflow/pipelines/issues/9835 | 1,842,438,896 | I_kwDOB-71UM5t0WLw | 9,835 | [frontend] [sdk] kfp.dsl.PipelineParams not present in KFP Pipeline v2 | {
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"@annovi As of v1, we don't expect users to directly interact with `PipelineParams`. Assigning to @connor-mccarthy to answer this question. ",
"@annovi, as @zijianjoy mentioned, the `PipelineParam` class is never imported and instances should not be created directly when authoring a pipeline. You use them indirec... | 2023-08-09T04:26:42 | 2023-09-05T15:32:41 | 2023-09-05T15:32:41 | NONE | null | V2 doesn't have the feature that was present in V1 "kfp.dsl.PipelineParams" the feature Representing a future value that is passed between pipeline components. It was a really convenient feature to pass parameters between UI and component.
From the SDK KFP 1.8 documentation:
A PipelineParam object can be used as a ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9823 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9823/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9823/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9823/events | https://github.com/kubeflow/pipelines/issues/9823 | 1,839,274,157 | I_kwDOB-71UM5toRit | 9,823 | [sdk] Is dsl.Collected a feature of kfp version==1.8.19 ? | {
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"@Aditya-171 It's not a feature in 1.8.19. We suggest to use the 2.0.0.",
"Closing this issue since we have provided an answer, feel free to reopen if this is not the case."
] | 2023-08-07T11:39:18 | 2023-08-31T22:50:28 | 2023-08-31T22:50:27 | CONTRIBUTOR | null |
* KFP SDK version: 1.8.19
* All dependencies version:
kfp 1.8.19
kfp-pipeline-spec 0.1.16
kfp-server-api 1.6.0
Hi i was trying to use dsl.Collected , but was facing the error as
AttributeError: module 'kfp.dsl' has no attribute as 'Collected'
Also the following sdk docs for the 1.8.19 k... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9821 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9821/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9821/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9821/events | https://github.com/kubeflow/pipelines/issues/9821 | 1,837,476,211 | I_kwDOB-71UM5thalz | 9,821 | [backend] Archiving experiment -> 524 error | {
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"@gkcalat Is this issue still relevant after fixing [this](https://github.com/kubeflow/pipelines/issues/9770) by [PR](https://github.com/kubeflow/pipelines/pull/9748)? "
] | 2023-08-05T00:36:30 | 2023-09-05T11:52:18 | null | MEMBER | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
[kfp-standalone-1](https://github.com/gkcalat/kubeflow-testing/tree/master/test-infra/kfp/kfp-standalone-1) cluster
* KFP version:
2.0.0
* KFP SDK version:
2.0.1
### Steps to reproduce
1. Run the functional test with enabled experiment arch... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9820 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9820/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9820/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9820/events | https://github.com/kubeflow/pipelines/issues/9820 | 1,837,444,697 | I_kwDOB-71UM5thS5Z | 9,820 | [sdk] KFP SDK 2.1.2 breaks when upgraded from an older version. | {
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"We already yanked KFP SDK 2.1.2, so that users' won't upgrade to this version unless they pin the version specifically in the command.\r\n\r\nIn case you run into this issue, and stuck with a bad environment. The remedy steps are:\r\n1. Uninstall both `kfp` and `kfp-dsl` package: `pip3 uninstall -y kfp kfp-dsl`\r\... | 2023-08-04T23:35:28 | 2023-08-31T22:53:32 | 2023-08-31T22:53:32 | COLLABORATOR | null | ### Environment
* KFP version:
N/A
* KFP SDK version:
2.1.2
* All dependencies version:
N/A
### Steps to reproduce
- Step 1: `pip3 install kfp==2.0.1`
- Step 2: `pip3 install kfp==2.1.2`
- Step 3: `import kfp`
### Expected result
import kfp should work.
### Actual result
```
>>> imp... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9813 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9813/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9813/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9813/events | https://github.com/kubeflow/pipelines/issues/9813 | 1,835,714,884 | I_kwDOB-71UM5taslE | 9,813 | Tracking: PostgreSQL support in KFP | {
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"cc @chensun "
] | 2023-08-03T20:47:02 | 2023-08-28T20:53:40 | null | COLLABORATOR | null | PostgreSQL request has become the top upvoted issue on KFP repo: https://github.com/kubeflow/pipelines/issues/7512. This issue is for tracking the work of this integration.
- [ ] KFP Backend integration
- [x] Define the DB config for PostgreSQL DB info
- [x] Basic connection config
- [ ] Secure connecti... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9809 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9809/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9809/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9809/events | https://github.com/kubeflow/pipelines/issues/9809 | 1,833,264,349 | I_kwDOB-71UM5tRWTd | 9,809 | [backend] Found a ScheduledWorkflow with empty type metadata (2.0.0) | {
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"Hey!\r\nWe have the same issue with the same versions. \r\n\r\n@rmoesbergen where you able to improvise a fix? ",
"@svyatoslavmo Unfortunately I have not been able to find a workaround to stop the barrage of errors."
] | 2023-08-02T14:07:55 | 2023-08-24T22:44:04 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
In GKE with kustomize, following the installation guide : https://www.kubeflow.org/docs/components/pipelines/v1/installation/localcluster-deployment/#deploying-kubeflow-pipelines
* KFP version:
2.0.0 (upgraded from 1.8.5)
* KFP SDK version:
... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9808 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9808/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9808/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9808/events | https://github.com/kubeflow/pipelines/issues/9808 | 1,832,773,068 | I_kwDOB-71UM5tPeXM | 9,808 | [sdk] dsl.Collected doesn't work within dsl.Condition when dsl.ParallelFor is outside that dsl.Condition | {
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"Thanks, @bogdanCsn. This is indeed a bug. We've put this in our backlog."
] | 2023-08-02T09:12:53 | 2023-08-11T19:54:37 | null | NONE | null | ### Environment
* KFP version: 2.0.1
### Steps to reproduce
```
from typing import List
from kfp import compiler, dsl
from kfp.dsl import Input, Model, Output
@dsl.component
def some_string(k: int, model: Output[Model]):
model = "x"
@dsl.component
def always_one() -> int:
return 1
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https://api.github.com/repos/kubeflow/pipelines/issues/9805 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9805/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9805/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9805/events | https://github.com/kubeflow/pipelines/issues/9805 | 1,830,582,884 | I_kwDOB-71UM5tHHpk | 9,805 | [bug] KFP SDK API Reference doc links need to be updated throughout pipelines docs | {
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"reopened the issue in the kubeflow/website. https://github.com/kubeflow/website/issues/3569\r\nSorry for the confusion."
] | 2023-08-01T06:50:02 | 2023-08-01T08:04:12 | 2023-08-01T07:57:38 | CONTRIBUTOR | null | The KFP SDK API Reference doc link `https://kubeflow-pipelines.readthedocs.io/.../source/kfp. ...` needs to be updated to `https://kubeflow-pipelines.readthedocs.io/.../source/...`.
There are 114 broken links.
```
❯ grep -r source/kfp. ./* ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9804 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9804/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9804/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9804/events | https://github.com/kubeflow/pipelines/issues/9804 | 1,829,983,184 | I_kwDOB-71UM5tE1PQ | 9,804 | [frontend] Frontend Dockerfile don't build | {
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"node_id": "MDU6TGFiZWwxMDczMTUzOTA4... | closed | false | null | [] | null | [
"Hello @SamirPS , would you like to try the following using the latest KFP repo?\r\n\r\n```\r\ncd pipelines/\r\ndocker build -f frontend/Dockerfile .\r\n```",
"With the ```2.0.0``` it's work but not with ```2.0.0-alpha.7```",
"We recommend using a newer version, since we have announce GA for KFP 2.0."
] | 2023-07-31T20:30:59 | 2023-08-01T19:29:37 | 2023-08-01T19:29:37 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
I didn't deploy KFP, I only tried to build the frontend container image
### Steps to reproduce
git clone this repo with this tag ``2.0.0-alpha.7``
```
cd pipelines/frontend
docker build
```
and you will get this error:
```
Error workbo... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9803 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9803/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9803/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9803/events | https://github.com/kubeflow/pipelines/issues/9803 | 1,827,780,212 | I_kwDOB-71UM5s8bZ0 | 9,803 | [sdk] kfp.deprecated fails to import | {
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"> Expected result\r\n>\r\n> kfp.deprecated is still usable on current kfp..\r\n\r\n@hmc-cs-mdrissi `kfp.deprecated` is meant to be cleanup but we haven't done so. It's not expected for it to continue working inside kfp 2.0+. But the features are still available via kfp sdk 1.8.*.\r\n\r\nIs there any reason you upg... | 2023-07-30T03:34:07 | 2023-09-07T22:35:32 | 2023-09-07T22:35:32 | CONTRIBUTOR | null | ### Environment
* KFP version: kfp 2.1.2
### Steps to reproduce
```
>>> import kfp.deprecated
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/pa-loaner/Snapchat/Dev/.venvs/bento/lib/python3.9/site-packages/kfp/deprecated/__init__.py", line 19, in <module>
from . ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9783 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9783/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9783/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9783/events | https://github.com/kubeflow/pipelines/issues/9783 | 1,822,682,585 | I_kwDOB-71UM5so-3Z | 9,783 | [feature] Configuring securityContext at pod level | {
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"What are the versions of KFP and SDK you're using? Also what container image being used for the component?"
] | 2023-07-26T15:33:20 | 2023-08-11T00:05:25 | 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?
Being able to configure securityContext in v2.
### What is the use case or pain poin... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9780 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9780/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9780/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9780/events | https://github.com/kubeflow/pipelines/issues/9780 | 1,821,147,065 | I_kwDOB-71UM5sjH-5 | 9,780 | [backend] performance issues with list runs API | {
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"Hi @deepk2u, thank you for bringing this issue up and offer a solution! If you would like to create a PR to fix this problem, it would be great.",
"We also impacted by this issue, most of our namespace contains > 200k runs. Anh now we cannot view any run on UI. Hope there will be a fix soon!",
"@Linchin @tam02... | 2023-07-25T21:02:49 | 2023-08-04T20:34:24 | 2023-08-04T20:34:24 | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
full kubeflow deployment using manifests repo
* KFP version:
sdk-2.0.0b7
* KFP SDK version:
sdk-2.0.0b7
### Steps to reproduce
1. create more than 200k runs in at least one namespace
2. other namespaces can have any number of runs
3. ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9777 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9777/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9777/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9777/events | https://github.com/kubeflow/pipelines/issues/9777 | 1,819,128,540 | I_kwDOB-71UM5sbbLc | 9,777 | [sdk] ParallelFor loop argument types not recognized | {
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"Same error that was commented here:\r\nhttps://github.com/kubeflow/pipelines/issues/9366"
] | 2023-07-24T20:53:11 | 2023-09-08T18:49:37 | null | NONE | null | ### Environment
* KFP version: **2**
* KFP SDK version: **2.0.1**
* All dependencies version:
```bash
➜ pip list | grep kfp
kfp 2.0.1
kfp-pipeline-spec 0.2.2
kfp-server-api 2.0.0
```
### Steps to reproduce
Previously, in KFP SDK v1.8.*, the following worked when... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9776 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9776/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9776/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9776/events | https://github.com/kubeflow/pipelines/issues/9776 | 1,818,315,718 | I_kwDOB-71UM5sYUvG | 9,776 | [feature] labeled pods with pipeline-id, pipeline-version, component-name/id for retrieving logs in loki properly | {
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"Thank you @axel7083 , we are welcoming contributions for making pod labels configurable in KFP."
] | 2023-07-24T12:22:00 | 2023-08-10T22:42:05 | 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?
When running a pipeline, after some time the logs are removed, since th... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9774 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9774/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9774/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9774/events | https://github.com/kubeflow/pipelines/issues/9774 | 1,815,845,851 | I_kwDOB-71UM5sO5vb | 9,774 | [sdk] RBAC: access denied after following the documentation | {
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"Hi @khituras, thank you for your question. I see from the instruction the command [also included the credential information](https://www.kubeflow.org/docs/components/pipelines/v1/sdk/connect-api/#full-kubeflow-subfrom-inside-clustersub:~:text=credentials%3Dcredentials)), maybe try adding it and see if it works? Fe... | 2023-07-21T13:49:12 | 2023-08-02T09:46:21 | 2023-07-27T22:48:43 | NONE | null | ### Environment
* KFP version:
Full Kubeflow v1.7 on prem installation via https://github.com/kubeflow/manifests on K3s, Multi-User-Setup
* KFP SDK version:
2.0.0-alpha.7
* All dependencies version:
kfp 2.0.1
kfp-pipeline-spec 0.2.2
kfp-server-api 2.0.0... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9773 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9773/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9773/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9773/events | https://github.com/kubeflow/pipelines/issues/9773 | 1,815,803,098 | I_kwDOB-71UM5sOvTa | 9,773 | [sdk] Usage of VertexNotificationEmailOp and kfpv2 | {
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"follower... | null | [] | 2023-07-21T13:21:57 | 2023-08-17T22:48:58 | null | MEMBER | null | Hi KFP team is this the correct way to use VertexNotificationEmailOp? I want to give email as a parameter of the pipeline to notify a user
### Environment
* KFP version:
Vertex AI Pipelines
* KFP SDK version:
-
* All dependencies version:
kfp==2.0.1
### Steps to reproduce
The following pipeline:
`... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9771 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9771/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9771/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9771/events | https://github.com/kubeflow/pipelines/issues/9771 | 1,815,423,507 | I_kwDOB-71UM5sNSoT | 9,771 | [Retry run with kfp sdk] | {
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"@grapefruitL Would you mind telling us if you run the pipeline on KFP or Vertex Pipeline? Thanks."
] | 2023-07-21T08:52:36 | 2023-08-17T22:51:12 | 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?
I wish to retry run with kfp sdk.
### What is the use cas... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9770 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9770/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9770/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9770/events | https://github.com/kubeflow/pipelines/issues/9770 | 1,814,461,431 | I_kwDOB-71UM5sJnv3 | 9,770 | (test): Fix periodic functional tests | {
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"@gkcalat Here is my update..\r\nI tried to run kfp-functional-test in local and found out that `../../backend/update_requirements.sh` does not exists\r\nhttps://github.com/kubeflow/pipelines/blob/1619f2c0b605f202c1cbb8488c64805ccff759c8/test/kfp-functional-test/README.md?plain=1#L10\r\nIt has been deleted (`git lo... | 2023-07-20T17:16:14 | 2023-08-18T20:34:03 | 2023-08-15T17:07:18 | MEMBER | null | It seems to me that the functional testing is [broken](https://oss.gprow.dev/?job=kubeflow-pipelines-periodic-functional-test) due to [outdated `kfp` version](https://oss.gprow.dev/view/gs/oss-prow/logs/kubeflow-pipelines-periodic-functional-test/1681338338910408704).
We may need to fix the test and verify it (at l... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9768 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9768/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9768/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9768/events | https://github.com/kubeflow/pipelines/issues/9768 | 1,814,303,540 | I_kwDOB-71UM5sJBM0 | 9,768 | [feature/idea] Integrate kubernetes's models into kfp-kubernetes | {
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"Is this already being worked or is it up for grabs? What is contribution guideline and workflow in case I volunteer to implement the `tolerations` model? We really need it for our project."
] | 2023-07-20T15:43:17 | 2023-08-05T09:59:01 | 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?
`kfp-kubernetes` is a library that aims to extend kfp v2 with kubernetes funct... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9765 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9765/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9765/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9765/events | https://github.com/kubeflow/pipelines/issues/9765 | 1,814,016,523 | I_kwDOB-71UM5sH7IL | 9,765 | [feature/question] Lightweight Python component module capture support in KFP SDK v2 | {
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"Hi, @JacusSH. Thanks for the question. For KFP SDK v2, the \"workarounds\" you describe are indeed the supported paths to the outcome you describe. There are currently no plans to support `modules_to_capture` though we're exploring some other improvements on the containerization experience that may make it to a fu... | 2023-07-20T13:35:50 | 2023-08-14T19:43:04 | 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 -->
### Question
In the KFP SDK v1 using the `func_to_container_op` one could use the `modules_to_capture` paramete... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9747 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9747/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9747/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9747/events | https://github.com/kubeflow/pipelines/issues/9747 | 1,809,690,574 | I_kwDOB-71UM5r3a_O | 9,747 | [Request header error: there is no user identity header] Using the kubeflow pipeline APIs, I was unable to create a run. | {
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"My work has literally struck at this point, could someone kindly assist me?"
] | 2023-07-18T10:56:38 | 2023-09-11T06:58:29 | null | NONE | null | I am following tutorial of Kubeflow Pipelines API: [Kubeflow](https://www.kubeflow.org/docs/components/pipelines/v1/tutorials/api-pipelines/) & [Kubeflow Pipelines API](https://www.kubeflow.org/docs/components/pipelines/v1/reference/api/kubeflow-pipeline-api-spec/)
I've installed Kubeflow on a MicroK8s and started e... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9746 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9746/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9746/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9746/events | https://github.com/kubeflow/pipelines/issues/9746 | 1,809,302,219 | I_kwDOB-71UM5r18LL | 9,746 | [frontend] artifacts [unknown] pipeline/workspace | {
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"I saw your PR for that. Did you find any workaround in the meantime? ",
"> I saw your PR for that. Did you find any workaround in the meantime?\r\n\r\nSadly, no, looking for the pipeline name was kinda hard as explained in the PR, maybe a metadata was not added properly or a CustomProperties. But from the curren... | 2023-07-18T07:16:47 | 2023-08-22T08:50:29 | null | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)? manifests
* KFP version: 2.0.0
### Description
No matter how I start my run, (from UI or SDK) I always get the `[unknown]` in the Artifact panel for pipeline/workspace.
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https://api.github.com/repos/kubeflow/pipelines/issues/9745 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9745/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9745/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9745/events | https://github.com/kubeflow/pipelines/issues/9745 | 1,808,824,549 | I_kwDOB-71UM5r0Hjl | 9,745 | `AttributeError: cython_sources` when installing KFP SDK + running Python components | {
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"Seeing this issue on GCP Vertex that uses Kubeflow internally. Forcing `pyyaml==5.3.1` with non-working `kfp==1.8.21` fixes the issue (following already mentioned [comment](https://github.com/yaml/pyyaml/issues/724#issuecomment-1638587228))"
] | 2023-07-18T00:19:25 | 2023-07-24T12:51:17 | null | MEMBER | null | > TLDR: Cython 3.0.0 just GA'd and introduced a regression which affects building `pyyaml` on _some_ operating systems with _some_ versions of Python. Upgrade to the latest version of the KFP SDK (v1 or v2) and recompile your components to get the fix.
**Short term fix options**
* Upgrade to the latest version of t... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9731 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9731/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9731/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9731/events | https://github.com/kubeflow/pipelines/issues/9731 | 1,803,437,713 | I_kwDOB-71UM5rfkaR | 9,731 | bug(frontend): Rendering pipeline details page is slow | {
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"@jlyaoyuli should this issue be close after your fix?"
] | 2023-07-13T17:10:29 | 2023-07-25T17:37:53 | 2023-07-25T17:37:53 | COLLABORATOR | null | null | {
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"@iuiu34 can you describe what's the use case for this feature?",
"it's to better readability of the tasks.\r\n\r\nBut after playing around for some weeks now with the pipelines inside pipelines.\r\nI'll admit, that having 2 components with the same name, but in different sub-pipelines, is already quite easy to r... | 2023-07-12T22:11:00 | 2023-08-11T07:59:42 | null | NONE | null | hi,
in kfp 2.0 you can call pipelines inside pipeline. But task name (Set_display_name) is at build time, not run time, so you can't add a suffix to the task names. Is it plan to add dynamically names, in case not, to at least put some prefix coming from the pipeline?
```py
from kfp import dsl
@dsl.component
d... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9723 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9723/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9723/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9723/events | https://github.com/kubeflow/pipelines/issues/9723 | 1,799,750,087 | I_kwDOB-71UM5rRgHH | 9,723 | test(frontend): Add end-to-end test for KFP v2 | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9722 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9722/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9722/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9722/events | https://github.com/kubeflow/pipelines/issues/9722 | 1,797,064,464 | I_kwDOB-71UM5rHQcQ | 9,722 | [sdk] dsl.Condition doesn't execute the pipeline after passing the condition. | {
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"/assign @Linchin "
] | 2023-07-10T15:55:53 | 2023-08-28T20:53:45 | null | NONE | null | ### Environment
* KFP version: 2
* KFP SDK version: 2.0.1
* All dependencies version:
kfp 2.0.1
kfp-pipeline-spec 0.2.2
kfp-server-api 2.0.0
### Description
Artifacts passing across dsl.Condition doesn't execute tasks that follow the condition. This IMH... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9721 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9721/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9721/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9721/events | https://github.com/kubeflow/pipelines/issues/9721 | 1,797,050,456 | I_kwDOB-71UM5rHNBY | 9,721 | [sdk] Setting the Display name of the component doesn't show updates to the pipeline | {
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"/assign @jlyaoyuli ",
"Hello @hugzee3 , looks like you are hitting a cache in `Expected result`, so it is using the same artifact path as the first run. So maybe you can try creating a new pipeline without hitting the cache?",
"Hey @zijianjoy , I did try running a new pipeline with `run_pipeline(enable_caching... | 2023-07-10T15:47:05 | 2023-07-27T20:25:05 | null | NONE | null | ### Environment
* KFP: 2
* KFP SDK version: 2.0.1
* All dependencies version:
kfp 2.0.1
kfp-pipeline-spec 0.2.2
kfp-server-api 2.0.0
### Description
Renaming a component only reflects the name change, but doesn't update the KFP UI with the logs/ IO param... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9719 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9719/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9719/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9719/events | https://github.com/kubeflow/pipelines/issues/9719 | 1,795,873,252 | I_kwDOB-71UM5rCtnk | 9,719 | [bug] proxy-agent and controller-manager pods are in CrashLoopBackOff | {
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"I found a same issue at https://github.com/kubeflow/pipelines/issues/9546.\r\nI will close mine."
] | 2023-07-10T03:41:33 | 2023-07-10T05:55:35 | 2023-07-10T05:47:48 | 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/. -->
* KFP version: 2.0.0
* KFP SDK version: 2.0.1
### Ste... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9718 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9718/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9718/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9718/events | https://github.com/kubeflow/pipelines/issues/9718 | 1,795,556,905 | I_kwDOB-71UM5rBgYp | 9,718 | [sdk] google_cloud_pipeline_component ModelImportEvaluationOp fails in v2.0.0 | {
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"Hi Paul, can you import the `ModelImportEvaluationOp` from `google_cloud_pipeline_components._implementation.model_evaluation` instead of from `google_cloud_pipeline_components.experimental.evaluation`?\r\n\r\nThat will solve this issue, apologies for the regression here!",
"Thank you for the suggestion @KevinBN... | 2023-07-09T20:48:04 | 2023-08-08T14:53:57 | null | NONE | null | ### Environment
* KFP version: Vertex AI
* KFP SDK version: 2.0.1
* All dependencies version:
```
kfp 2.0.1
kfp-pipeline-spec 0.2.2
kfp-server-api 2.0.0
google_cloud_pipeline_components 2.0.0
```
### Steps to reproduce
The component... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9715 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9715/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9715/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9715/events | https://github.com/kubeflow/pipelines/issues/9715 | 1,793,164,959 | I_kwDOB-71UM5q4Yaf | 9,715 | [bug] back button after opening run link not working | {
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"@jlyaoyuli can you please help verify if there's a bug? Thanks!"
] | 2023-07-07T09:32:44 | 2023-08-10T22:50:56 | null | CONTRIBUTOR | null | ### Environment
<!-- Please fill in those that seem relevant. -->
* How do 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
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https://api.github.com/repos/kubeflow/pipelines/issues/9714 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9714/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9714/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9714/events | https://github.com/kubeflow/pipelines/issues/9714 | 1,792,917,028 | I_kwDOB-71UM5q3b4k | 9,714 | [feature] Editing Pod's spec. | {
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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?
I would like to understand what is the plan or the best practices for... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9709 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9709/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9709/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9709/events | https://github.com/kubeflow/pipelines/issues/9709 | 1,791,812,941 | I_kwDOB-71UM5qzOVN | 9,709 | [bug] runtimeValue constant not correct when concatenating parameters with file components | {
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"@axel7083 quick question, did you get `{{$.inputs.parameters['pipelinechannel--variable_a']}} {{$.inputs.parameters['pipelinechannel--variable_b']}} ` at runtime or after compiling the Python code into YAML? If it's the latter case, then this is expected SDK behavior, if it's the former, then this is a backend bug... | 2023-07-06T15:47:18 | 2023-07-27T23:04:05 | null | CONTRIBUTOR | null | ### Environment
<!-- Please fill in those that seem relevant. -->
* How do you deploy Kubeflow Pipelines (KFP)? manifest
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP version: 2.0.0-rc.1
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https://api.github.com/repos/kubeflow/pipelines/issues/9708 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9708/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9708/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9708/events | https://github.com/kubeflow/pipelines/issues/9708 | 1,790,479,815 | I_kwDOB-71UM5quI3H | 9,708 | [backend] Optional parameters to custom component appear oddly if not provided | {
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"u... | open | false | null | [] | null | [] | 2023-07-05T23:01:08 | 2023-08-28T20:53:50 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Using the recommended `kubectl apply -k`, i.e.
```shell
ENV=dev
CRDS="github.com/kubeflow/pipelines/manifests/kustomize/cluster-scoped-resources?ref=$KFP_VERSION"
RSRC="github.com/kubeflow/pipelines/manifests/kustomize/env/${ENV}?ref=$PIPELINE_VE... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9706 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9706/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9706/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9706/events | https://github.com/kubeflow/pipelines/issues/9706 | 1,790,226,219 | I_kwDOB-71UM5qtK8r | 9,706 | Seeking alternatives to building test images via docker-in-docker. | {
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https://api.github.com/repos/kubeflow/pipelines/issues/9704 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/9704/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/9704/comments | https://api.github.com/repos/kubeflow/pipelines/issues/9704/events | https://github.com/kubeflow/pipelines/issues/9704 | 1,790,034,976 | I_kwDOB-71UM5qscQg | 9,704 | [e2e test] Docker daemon connection is failed | {
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"html_url": "https://github.com/jlyaoyuli",
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"name": "kind/bug",
"color": "fc2515",
"default": false,
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"login": "chensun",
"id": 2043310,
"node_id": "MDQ6VXNlcjIwNDMzMTA=",
"avatar_url": "https://avatars.githubusercontent.com/u/2043310?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/chensun",
"html_url": "https://github.com/chensun",
"followers_url": "https://api.github.com/users/chensun/... | [
{
"login": "chensun",
"id": 2043310,
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"url": "https://api.github.com/users/chensun",
"html_url": "https://github.com/chensun",
"followers_url": "https://api.githu... | null | [
"Suspect it's caused by GKE upgrade. \r\n\r\nThe last succeeded test run was on June 29, [with GKE version 1.25.8-gke.1000](https://oss.gprow.dev/view/gs/oss-prow/pr-logs/pull/kubeflow_pipelines/9693/kubeflow-pipeline-e2e-test/1674513454611828736#)\r\nThen it starts to fail since June 30, [with GKE version 1.26.5-g... | 2023-07-05T18:02:49 | 2023-07-05T22:28:53 | 2023-07-05T22:28:52 | COLLABORATOR | null | Error log:
https://oss.gprow.dev/view/gs/oss-prow/pr-logs/pull/kubeflow_pipelines/9694/kubeflow-pipeline-e2e-test/1674873953513902080 | {
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