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https://api.github.com/repos/kubeflow/pipelines/issues/8313 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8313/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8313/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8313/events | https://github.com/kubeflow/pipelines/issues/8313 | 1,387,958,970 | I_kwDOB-71UM5SupK6 | 8,313 | [sdk] 403 error when API key is auto-refreshed with Out of Cluster kube-context | {
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"Hi @alexlatchford!\r\n\r\nIt seems that the `refresh_token` got expired or removed. Could you logout from your Google account and try repeating the steps you outlined?",
"Hey @gkcalat we're on EKS 😅",
"@alexlatchford, I am not an AWS expert, but it might have an option to set the expiration of the tokens. @su... | 2022-09-27T15:29:08 | 2022-10-04T21:33:33 | null | CONTRIBUTOR | null | ### Environment
* KFP version:
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
We run KFP v1.8.1 via KF v1.5.0.
* KFP SDK version:
<!-- Specify the version of Kubeflow Pipelines that you are using. The version number... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8308 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8308/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8308/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8308/events | https://github.com/kubeflow/pipelines/issues/8308 | 1,386,500,014 | I_kwDOB-71UM5SpE-u | 8,308 | [feature] Container start and end times associated with a Pod | {
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"Hi @ameya-parab, thank you for bringing up this feature request. We recommend using the API from k8s to collect pod info now, and we don't have plans to implement this functionality. Feel free to open this thread if you have more thoughts!"
] | 2022-09-26T18:05:01 | 2022-09-29T22:52:10 | 2022-09-29T22:52:09 | 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?
We want to track the start and end times of containers within a pod ... | {
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"Hi @MartinRogmann, maybe consider upgrading the kfp SDK to 1.8.14 and see if the error persists? ",
"Hi @Linchin, that solved the problem. Thank you"
] | 2022-09-26T12:56:54 | 2022-09-30T08:19:53 | 2022-09-30T08:19:53 | 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/. -->
Installed kubeflow manifest **v1.6.0-rc.1** with **miniku... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8302 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8302/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8302/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8302/events | https://github.com/kubeflow/pipelines/issues/8302 | 1,385,145,397 | I_kwDOB-71UM5Sj6Q1 | 8,302 | [sdk] KFPv2: Custom Container component set bool default value `False` to `0` which caused runtime failure | {
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* KFP version:
KFP 2.0.0-alpha.4
* KFP SDK version:
SDK 2.0.0-beta4
### Steps to reproduce
Create the following custom container component:
```
from kfp.dsl import Input, Output, Artifact, container_component, ContainerSpec
@dsl.container_component
def create_dataset(experiment_na... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8300 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8300/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8300/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8300/events | https://github.com/kubeflow/pipelines/issues/8300 | 1,384,498,692 | I_kwDOB-71UM5ShcYE | 8,300 | [sdk] Unable to import ServiceAccountTokenVolumeCredentials in KFPv2 SDK | {
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"Thank you, @zijianjoy!"
] | 2022-09-24T03:09:25 | 2022-09-26T15:08:13 | null | COLLABORATOR | null | ### Environment
* KFP version:
KFP 2.0.0-alpha4
* KFP SDK version:
2.0.0-beta.4
### Steps to reproduce
Follow https://www.kubeflow.org/docs/components/pipelines/v1/sdk/connect-api/#full-kubeflow-subfrom-inside-clustersub to set the default SA token path as empty. But `ServiceAccountTokenVolumeCredentials... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8294 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8294/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8294/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8294/events | https://github.com/kubeflow/pipelines/issues/8294 | 1,382,977,963 | I_kwDOB-71UM5SbpGr | 8,294 | [feature] Stop recurring run when failed | {
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"This feels like a custom logic that probably shouldn't be part of a scheduling system. Alternatives could be implementing the custom logic yourself either from client side or in component level like using exit handler.",
"@chensun I wonder wdym to implement this from client side? Scheduled runs after they are cr... | 2022-09-22T20:28:32 | 2022-09-23T00:51:46 | 2022-09-22T22:54:31 | CONTRIBUTOR | null | ### Feature Area
/area backend
### What feature would you like to see?
Support for stopping recurring runs (or retry N times) if a run fails.
### What is the use case or pain point?
At the moment, when a recurring run has a failed run, it will continue scheduling new runs independently of previous sta... | {
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"This is infeasible, as each task is a containerized app. KFP system doesn't have visibility into the progress of a task. \r\nOur suggestion would be use the log workaround as you described.",
"ok, thanks for answering."
] | 2022-09-22T13:33:29 | 2022-09-23T08:06:10 | 2022-09-22T22:47:37 | NONE | null | ### Feature Area
/area frontend
/area backend
/area sdk
### What feature would you like to see?
In the UI displaying the DAG of the pipeline, it would be great to see a progress bar on each task. This would allow to visually see how far the task is to completion. In the code of the component, we could provid... | {
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"`google-cloud-pipeline-components` is currently not fully compatible with kfp 2.0*. We're working on the migration, and @chongyouquan may help provide a rough timeline.\r\n",
"Any update here?",
"Hi, the following `requirements.in` works:\r\n```\r\nkfp==2.0.0b10\r\nproto-plus==1.19.6\r\ngoogleapis-common-proto... | 2022-09-22T10:03:22 | 2023-01-11T08:51:00 | null | NONE | null | ### Environment
* KFP version:
2.0.0b1
### Steps to reproduce
Create a `requirements.in` file:
```
kfp==2.0.0b1
google-cloud-pipeline-components
```
Then run `pip-compile -v requirements.in`
### Result
```Using indexes:
https://pypi.org/simple
ROUND 1
Current con... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8283 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8283/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8283/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8283/events | https://github.com/kubeflow/pipelines/issues/8283 | 1,378,737,179 | I_kwDOB-71UM5SLdwb | 8,283 | [backend] metadata-writer cannot save metadata of S3 artifacts with argo v3.1+ | {
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"@tktest1234 Are you running on AWS and want to use KFP with S3 as storage backend?\r\n\r\n",
"Yes, I install kubeflow1.4 on AWS(EKS) and want to use KFP with S3 as storage backend.\r\nIsn't it expected?",
"Hey @tktest1234 please follow the instructions on AWS distribution of Kubeflow to install KFP with S3 as ... | 2022-09-20T02:39:36 | 2022-12-28T03:18:38 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
kubeflow 1.4 manifest (git::https://github.com/kubeflow/manifests.git?ref=v1.4.0 )
and manually change config for S3
* KFP version:
1.7.0 (kubeflow 1.4)
* KFP SDK version:
1.7.1
### Steps to reproduce
1. setting to save artifacts to S3... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8269 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8269/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8269/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8269/events | https://github.com/kubeflow/pipelines/issues/8269 | 1,374,042,311 | I_kwDOB-71UM5R5jjH | 8,269 | Cannot get key for artifact location | {
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"@SeibertronSS, do other pipelines have this error? Have you successfully run a pipeline on this deployment?\r\n\r\nIt seems like there may be an issue with the deployment related to the [minio artifact secret](https://github.com/kubeflow/pipelines/blob/74c7773ca40decfd0d4ed40dc93a6af591bbc190/manifests/kustomize/t... | 2022-09-15T07:11:35 | 2022-09-15T22:52:43 | null | NONE | null | ### Environment
<!-- Please fill in those that seem relevant. -->
* How do you deploy Kubeflow Pipelines (KFP)?
I deploy the Kubeflow Pipelines (standalone) by Kubeflow Manifests (https://github.com/kubeflow/manifests)
* KFP version:
1.7.0
* KFP SDK version:
1.8.2
When I su... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8267 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8267/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8267/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8267/events | https://github.com/kubeflow/pipelines/issues/8267 | 1,373,732,443 | I_kwDOB-71UM5R4X5b | 8,267 | [sdk] ssl.SSLError: [SSL: WRONG_VERSION_NUMBER] wrong version number | {
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"Feels like something is wrong with your kubernetes/kubeflow setup.\r\nCan you see the pipelines UI or does it also show this error?",
"@BroderPeters Thank you very much for your answer. I can see pipelines UI. \r\n\r\nIt's a weird error. The error does not happen to me. It happens to my work colleague sometimes.... | 2022-09-15T00:20:34 | 2022-09-15T23:52:59 | null | NONE | null | ### Environment
* KFP version: 1.8.1
* KFP SDK version: 1.6.2
* All dependencies version:
kfp 1.6.2
kfp-pipeline-spec 0.1.16
kfp-server-api 1.8.5
### Steps to reproduce
It happens on GCP, on a Kubeflow 1.5 cluster
To reproduce you should execute th... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8257 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8257/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8257/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8257/events | https://github.com/kubeflow/pipelines/issues/8257 | 1,370,642,028 | I_kwDOB-71UM5RslZs | 8,257 | [feature] Allow GCP ModelUploadOp to upload a model version | {
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"/cc @chongyouquan ",
"Similarly other Ops that can generate a model (Custom*TrainingJobRunOp, AutoML*TrainingJobRunOp etc) should support adding new versions of a model as well.",
"> \r\n\r\n+1",
"This should now be supported by the latest release, via the parent_model parameter. Please reopen if you see it'... | 2022-09-12T23:21:34 | 2023-05-31T09:55:18 | 2023-01-26T17:50:51 | 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?
The ability to upload a Vertex Model version to the model registry
... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8256 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8256/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8256/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8256/events | https://github.com/kubeflow/pipelines/issues/8256 | 1,369,572,385 | I_kwDOB-71UM5RogQh | 8,256 | [bug] Pipeline metrics Invalid input error: Unknown execution spec | {
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"I'm experiencing the same issue. It seems that the issue was introduced in the alpha.3 release. Metrics are successfully picked up when downgrading the ml-pipeline deployment to the previous image `gcr.io/ml-pipeline/api-server:2.0.0-alpha.2`",
"@Tobiasgoerke and myself can reproduce this too. @kimwnasptd @annaj... | 2022-09-12T09:36:20 | 2022-09-26T19:27:53 | 2022-09-21T17:31:09 | NONE | null | ### Environment
<!-- Please fill in those that seem relevant. -->
* How do you deploy Kubeflow Pipelines (KFP)?
Kubeflow/manifest v1.6
AKS v1.22
<!-- For more information, see an overview of KFP installation options:
https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP vers... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8255 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8255/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8255/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8255/events | https://github.com/kubeflow/pipelines/issues/8255 | 1,369,054,485 | I_kwDOB-71UM5Rmh0V | 8,255 | [frontend] Can't see log field in UI (SDK v2) | {
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"We do not support main.logs in KFP v2 compatible mode. We are no longer supporting KFP v2 compatible mode.\r\n\r\nWe support main.logs in KFP v1 and are working toward support in KFP v2."
] | 2022-09-11T20:24:44 | 2022-09-15T22:49:39 | 2022-09-15T22:49:39 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
from kubeflow/manifests v1.4
* KFP version: 1.7.0
### Steps to reproduce
QQ
When I try to run a simple pipeline on SDK 2, I don't see the main.log fields in the output artifact.
Although I can see the log saved in minio.
?
Vertex-AI pipelines
* KFP version:
I don't know (vertex ai)
* KFP SDK version:
1.8.12
### Steps to reproduce
Create a pipeline that uses the ModelBatchPredictOp, and run it several times. The task is never cached, but systematically executed... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8242 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8242/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8242/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8242/events | https://github.com/kubeflow/pipelines/issues/8242 | 1,363,758,041 | I_kwDOB-71UM5RSUvZ | 8,242 | [feature] Allow Filtering On Pipeline ID for List Runs Api Endpoint | {
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"/cc @Linchin\r\n\r\n"
] | 2022-09-06T20:05:43 | 2022-09-08T22:46:11 | 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?
Extend the api endpoint for listing runs to allow selecting or filter... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8240 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8240/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8240/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8240/events | https://github.com/kubeflow/pipelines/issues/8240 | 1,361,857,532 | I_kwDOB-71UM5RLEv8 | 8,240 | when using the emissary executor you must either explicitly specify the command, or list the image's command in the index: https://argoproj.github.io/argo-workflows/workflow-executors/#emissary-emissary[bug] <Bug Name> | {
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"using kubeflow , machine learning model deployed in to kubernetes,then i'm getting the attached error message",
"Hello @kotalakshman ,\r\n\r\nThere are multiple information in here, I am assuming you are using container component in your pipeline:\r\n\r\n1. In the issue title, this is by design because you need ... | 2022-09-05T12:20:37 | 2022-09-08T23:04:39 | 2022-09-08T23:04:38 | 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: 1.7.1
<!-- Specify the version of Kubeflo... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8236 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8236/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8236/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8236/events | https://github.com/kubeflow/pipelines/issues/8236 | 1,359,557,825 | I_kwDOB-71UM5RCTTB | 8,236 | [bug] Disabling caching for a step by set_caching_options lead to disabling caching for subsequent steps | {
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"Hello @ysk24ok \r\n\r\n1. It is likely that `download_task` generates new output every time, even if the content is the same. As a result, if the upstream is not cached, then the downstream task will not be able to use cache.\r\n2. We have deprecated V2_COMPATIBLE mode, please use 2.0.0-XXX and remove the use of `... | 2022-09-02T00:02:18 | 2022-09-08T23:00:28 | null | CONTRIBUTOR | null | I'm not sure if it's a bug or an expected behavior, but let me mark as a bug for now.
### Environment
<!-- Please fill in those that seem relevant. -->
* How do you deploy Kubeflow Pipelines (KFP)? full Kubeflow deployment
<!-- For more information, see an overview of KFP installation options: https://www.k... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8230 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8230/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8230/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8230/events | https://github.com/kubeflow/pipelines/issues/8230 | 1,358,783,253 | I_kwDOB-71UM5Q_WMV | 8,230 | [bug] Kubeflow Pipeline UI not rendering Pipeline Metrics (again?) | {
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"Ignore. I found that the value inside the metrics json was screwed up.. I was passing a dict unintentionally in one of the metric where I had to pass the number.\r\n\r\nI think KFP Compiler can show this as warning when ml-pipeline metrics doesn't have an expected return output schema (or it can be shown in UI so ... | 2022-09-01T12:39:16 | 2022-09-01T22:55:36 | 2022-09-01T22:55:36 | NONE | null | ### Environment
<!-- Please fill in those that seem relevant. -->
* How do you deploy Kubeflow Pipelines (KFP)?
Ans: Full Kubeflow Deployment
* KFP version:
For some reason the sidebar shows : **build version dev_local** but was installed using YAMLs at: https://github.com/kubeflow/manifests
Docker Imag... | {
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"Hi @jielou !\r\nCould you please try a newer version of KFP standalone deployment (e.g. 1.8.5) and let us know if you still encounter the problem.",
"@gkcalat Hi. I tried to install 1.8.5, but `metadata-grpc-deployment` still failed. Logs showed `MetadataStore cannot be created with the given connection config`.... | 2022-08-31T19:15:15 | 2022-10-07T15:45:38 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
follow the standalone deployment doc, but run `kubectl create -k platform-agnostic' instead.
* KFP version:
1.5
* KFP SDK version:
NA
* EKS cluster k8s version: 1.19
### Steps to reproduce
I follow the guideline the deploy the standalone ... | {
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"Which SDK version are you using?\r\n\r\nIn both KFP v1 (v2 namespace) and KFP v2, this is provided by the containerized component functionality. Try `kfp component build --help` on the command line and view the reference docs for `kfp.v2.dsl.component` and `kfp.dsl.component` in v1 and v2, respectively. Reference ... | 2022-08-29T10:51:27 | 2022-12-27T17:05:26 | 2022-12-27T17:05:05 | NONE | null | for example:
I have a file utils.py which defined some functions.
How can I import those functions in my components?
Any ideas? | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8203 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8203/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8203/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8203/events | https://github.com/kubeflow/pipelines/issues/8203 | 1,353,271,685 | I_kwDOB-71UM5QqUmF | 8,203 | [sdk] Can't use pipeline's input object in dsl.Condition | {
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"Thanks for reporting this @ittus. This is a known bug.",
"Any update on this? We'd like to use the dsl.Condition to trigger some alert ops and can't whilst this is open.",
"This has not yet been fixed in KFP v1.\r\n\r\nThis was fixed at least as early as `kfp==2.0.0b1`. The following runs without issue:\r\n\r\... | 2022-08-28T07:22:29 | 2023-02-01T02:50:31 | null | CONTRIBUTOR | null | ### Environment
<!-- Please fill in those that seem relevant. -->
* How do you deploy Kubeflow Pipelines (KFP)?
Full Kubeflow deployment
* KFP version:
1.8.1
* KFP SDK version:
1.8.12
### Steps to reproduce
```python
@dsl.pipeline(name="Test pipeline", description=__doc__)
def test_pipeline(
... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8201 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8201/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8201/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8201/events | https://github.com/kubeflow/pipelines/issues/8201 | 1,352,355,575 | I_kwDOB-71UM5Qm073 | 8,201 | [sdk] sdk documentation of kfp.v2 | {
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"@verhoek, thanks for raising this. We are working on a significant documentation refresh that should help with this. In the meantime, maybe I can help here.\r\n\r\nWhich version of the SDK are you using?\r\n\r\n> Some functionality from the package kfp.v2.google seems to be referenced on the web/from the vertex ai... | 2022-08-26T14:35:40 | 2023-04-04T17:52:25 | 2023-04-04T17:52:25 | NONE | null | I am having difficulties regarding the documentation of the python SDK of pipelines, in particular the kfp.v2 package of the 1.8.x releases.
Some functionality from the package kfp.v2.google seems to be referenced on the web/from the vertex ai docu, yet I cannot find any official referenced documentation of it from th... | {
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"Hello @andre-lx , does this issue happen during start-up time, or does it happen when you are running specific pipeline? If there is more information about how to reproduce this issue, it will help us to investigate the problem. \r\n\r\n/assign @chensun ",
"> Hello @andre-lx , does this issue happen during start... | 2022-08-26T07:53:41 | 2023-05-16T20:08:33 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Manifests in k8s
* K8S Version:
1.21
* KFP version:
1.8.1/1.8.2/1.8.3/1.8.4
### Steps to reproduce
Hi.
Since release 1.8.1 (can't be sure about older versions) our metadata-writer pod is always restarting infinitely with the following ... | {
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"Have you checked that both `ml-pipeline-ui` deployment in `kubeflow` namespace and the `ml-pipeline-ui-artifact` deployment in user namespaces are all using `ml-pipeline/frontend:1.8.1`?",
"@zijianjoy Yes, I have\r\n\r\n```\r\nName: ml-pipeline-ui\r\nNamespace: kubeflow\r\nCreation... | 2022-08-24T19:28:06 | 2023-09-13T08:24:47 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Using https://www.kubeflow.org/docs/distributions/gke/deploy/upgrade/
* KFP version:
ml-pipeline/frontend:1.8.1
ml-pipeline/api-server:1.8.1
### Steps to reproduce
Upgrade from Kubeflow 1.3 to Kubeflow 1.5 allows to replicate the pro... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8185 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8185/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8185/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8185/events | https://github.com/kubeflow/pipelines/issues/8185 | 1,347,536,775 | I_kwDOB-71UM5QUceH | 8,185 | [feature] add delete button for runs to KFP UI | {
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"Hi @tingshua-yts , you can archive the runs first and then delete them in the archived list."
] | 2022-08-23T08:19:39 | 2022-08-25T22:47:17 | 2022-08-25T22:47:17 | 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?
?
```
$ kubectl version --short
Client Version: v1.24.4
Kustomize Version: v4.5.4
Server Version: v1.20.2
```
- minikube v1.18.1
- kubernetes v1.20.2
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"Close as this is resolved by updating the kfp SDK to v1.8.13 and above. Seems like a minor bug in the v1 to v2 migration that got fixed."
] | 2022-08-21T07:09:12 | 2022-08-22T15:22:17 | 2022-08-22T15:21:00 | NONE | null | ### Environment
* KFP version:
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP SDK version: 1.8.3
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"Hi @r-matsuzaka, \r\n\r\nSorry about the confusion here. The doc you referred to is about KFP v1, and the master branch code is about KFP v2. The code for v1 can be found in the `sdk/release-1.8` branch: https://github.com/kubeflow/pipelines/blob/0ad4cdfaabebbb566dad2b9523267d886942f2ad/sdk/python/kfp/compiler/com... | 2022-08-21T07:02:29 | 2022-08-25T23:05:40 | 2022-08-25T23:05:39 | NONE | null | ### Environment
#### How did you deploy Kubeflow Pipelines (KFP)?
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
- minikube latest (kubernets 1.21.14)
- kustomize 3.2.0
- kubectl 1.21.14
- kubeflow/manifests v1.6-branc... | {
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* How did you deploy Kubeflow Pipelines (KFP)?
Kubeflow Pipelines Standalone
* KFP version:
2.0.0-alpha.3
* KFP SDK version:
2.0.0b2
<!-- Specify the output of the following shell command: $pip list | grep kfp -->
### Steps to reproduce
1. Open https://github.com/kubeflow/pipelines... | {
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* KFP version:
1.8.12
GCP Vertex AI pipelines.
* KFP SDK version:
GCP Vertex AI pipelines.
* All dependencies version:
```shell
kfp 1.8.12
kfp-pipeline-spec 0.1.16
kfp-server-api 1.8.4
```
```shell
google-cloud-pipeline... | {
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"I figured out that registering a recurring run creates a scheduled workflow crd instance. Removing the pipeline modules from the k8s cluster, also destroyed those crd instances, so the remaining metadata is meaningless. Is there a safer and more efficient way to upgrade the kubeflow-pipeline module without losing ... | 2022-08-18T01:17:17 | 2022-08-25T22:44:07 | 2022-08-25T22:44:07 | NONE | null | ### Environment
<!-- Please fill in those that seem relevant. -->
* How do you deploy Kubeflow Pipelines (KFP)?
Using Kubeflow 1.5.1 on EKS and it is updated from version 1.3.1
I did `kustomize build apps/pipeline | kubectl delete -f -` and
`kustomize build apps/pipeline | kubectl apply -f -`
registerin... | {
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<!-- Please fill in those that seem relevant. -->
* How do you deploy Kubeflow Pipelines (KFP)? Deploy in Kind --image kindest/node:v1.21.2 (Apple M1 Silicon Architecture BigSur)
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* KFP version: 1.8.12
* All dependencies version:
<!-- Specify the output of the following shell command: $pip list | grep kfp -->
kfp 1.8.12
kfp-pipeline-spec 0.1.16
kfp-server-api 1.8.4
### Steps to reproduce
Run... | {
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"@andresmascl, thank you for your contribution!\r\n\r\nAs these vulnerabilities are not marked as critical on GCR, we will keep this in backlog for now.",
"Closing this as we have released KFP v2.0.0"
] | 2022-08-16T20:37:31 | 2023-08-04T23:01:52 | 2023-08-04T23:01:52 | NONE | null | ### Environment
Critical CVEs reported by the `anchore` scanning service: CVE-2020-36242, GHSA-57wx-m983-2f88, GHSA-8vj2-vxx3-667w, GHSA-9j59-75qj-795w , GHSA-cq27-v7xp-c356, GHSA-h6gw-r52c-724r , GHSA-pw3c-h7wp-cvhx
* KFP version:
`1.8.4`
### Materials and Reference
?
Critical Vulnerabilities reported by `anchore` : CVE-2015-20107, CVE-2017-18342, CVE-2021-30473, CVE-2021-30474, CVE-2021-30475, GHSA-8q59-q68h-6hv4
* KFP version:
`1.8.4`
### Materials and Reference
:
import IPython
html = \
f'<a href="{self._get_url_prefix()}/#/experiments/details/{experiment.id}" targ... | {
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* How did you deploy Kubeflow Pipelines (KFP)?
Kubeflow Pipelines Standalone
* KFP version:
2.0.0-alpha.3
### Steps to reproduce
1. Create a run which has two Confusion Matrix artifacts of the same type on the same execution
- One artifact has the name `Artifact ID #<id>`, and th... | {
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* How did you deploy Kubeflow Pipelines (KFP)?
Kubeflow Pipelines Standalone
* KFP version:
2.0.0-alpha.3
### Steps to reproduce
1. Go to the "Runs" tab on KFP
2. Select multiple runs which have HTML or Markdown artifacts, and click "Compare Runs"
3. Select the "HTML" or "Markdown... | {
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"followers_url": "https://a... | null | [] | 2022-08-10T18:18:40 | 2022-08-11T18:25:26 | null | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Kubeflow Pipelines Standalone
* KFP version:
2.0.0-alpha.3
### Steps to reproduce
1. Go to the "Runs" tab on KFP
2. Select multiple runs which have many artifacts (for instance, some over 100+), and click "Compare Runs"
### Expected... | {
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* How did you deploy Kubeflow Pipelines (KFP)?
Kubeflow Pipelines Standalone
* KFP version:
2.0.0-alpha.3
### Steps to reproduce
1. Go to the "Runs" tab on KFP
2. Select multiple runs which have Confusion Matrices, and click "Compare Runs"
3. Select the "Confusion Matrix" tab unde... | {
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* How did you deploy Kubeflow Pipelines (KFP)?
Kubeflow Pipelines Standalone
* KFP version:
2.0.0-alpha.3
### Steps to reproduce
1. Go to the "Runs" tab on KFP
2. Select multiple runs which have Confusion Matrices, and click "Compare Runs"
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https://api.github.com/repos/kubeflow/pipelines/issues/8126 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8126/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8126/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8126/events | https://github.com/kubeflow/pipelines/issues/8126 | 1,333,948,492 | I_kwDOB-71UM5PgnBM | 8,126 | [feature] Implement comprehensive unit tests for the KFP SDK Client class | {
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"Hi @droctothorpe feel free to contribute ? JFYI, here're some example code on how we tested the v2 Vertex client (which was moved out of KFP package in the master branch): https://github.com/kubeflow/pipelines/tree/sdk/release-1.8/sdk/python/kfp/v2/google/client"
] | 2022-08-10T01:28:47 | 2022-08-11T22:54:28 | null | CONTRIBUTOR | null | ### Feature Area
/area sdk
### What feature would you like to see?
We would like to see comprehensive unit tests for the KFP SDK [Client](https://github.com/kubeflow/pipelines/blob/master/sdk/python/kfp/client/client.py#L82) class to improve confidence in code changes.
The existing coverage looks [quite spars... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8125 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8125/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8125/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8125/events | https://github.com/kubeflow/pipelines/issues/8125 | 1,333,944,091 | I_kwDOB-71UM5Pgl8b | 8,125 | [feature]Add a KubeFlow pipeline for TensorFlowJS/JavaScript | {
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"Hi @shivaylamba, KFP support running containerized app, meaning you can always package your code into a container, and we support running any container as a KFP component. Would that work for your case?",
"/cc @zichuan-scott-xu "
] | 2022-08-10T01:20:30 | 2022-08-11T22:50:16 | null | NONE | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
/area javascript
/area samples
/area pipelines
### What feature would you like to see?
We would like to see a dedicated pipeline for TensorFlowJS or even a pipeline for JavaScript. Today TensorFlowJS is being used... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8121 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8121/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8121/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8121/events | https://github.com/kubeflow/pipelines/issues/8121 | 1,333,774,038 | I_kwDOB-71UM5Pf8bW | 8,121 | [frontend] Table sort mechanism broken on multiple tabs | {
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* How did you deploy Kubeflow Pipelines (KFP)?
Kubeflow Pipelines Standalone
* KFP version:
`HEAD`
### Steps to reproduce
1. Go to the `Runs`, `Artifacts`, or `Executions` tab on KFP
2. Try to sort by any of the desired and sortable columns
### Expected result
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https://api.github.com/repos/kubeflow/pipelines/issues/8119 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8119/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8119/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8119/events | https://github.com/kubeflow/pipelines/issues/8119 | 1,333,206,696 | I_kwDOB-71UM5Pdx6o | 8,119 | [sdk] kfp==2.0.0b1 is incompatible with google-cloud-pipeline-components | {
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"Hi @GytisBraz , this is a known issue and we're working on migrating `google-cloud-pipeline-components` to be compatible with kfp 2.0.",
"any updates on this? Also will there be any breaking changes?",
"Interested a solution",
"Any updates? This incompatibility is impacting me quite badly as a new user. We a... | 2022-08-09T12:45:53 | 2023-04-05T17:04:05 | null | NONE | null | ### Environment
* KFP version: `2.0.0b1`
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
### Steps to reproduce
`pip3 install kfp==2.0.0b1`
followed by
`pip3 install google-cloud-pipeline-components`
### Expe... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8117 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8117/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8117/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8117/events | https://github.com/kubeflow/pipelines/issues/8117 | 1,332,686,916 | I_kwDOB-71UM5PbzBE | 8,117 | [sdk] SlicedClassificationMetrics Artifact load_confusion_matrix has incorrect call | {
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* KFP version: N/A
* KFP SDK version: `1.8.13`
### Steps to reproduce
Use a `SlicedClassificationMetrics` Artifact and try to call `load_confusion_matrix`. Internally this calls `log_confusion_matrix_cell` on the `ClassificationMetrics` object instead of `log_confusion_matrix`, which resul... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8111 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8111/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8111/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8111/events | https://github.com/kubeflow/pipelines/issues/8111 | 1,332,053,763 | I_kwDOB-71UM5PZYcD | 8,111 | [frontend] Artifact API Does not support S3 Regions | {
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"My bad, I've found that it actually uses `AWS_REGION` variable here: https://github.com/kubeflow/pipelines/blob/e8abec24fed4c4f8be6f527207b1cec9811ce3e7/frontend/server/configs.ts#L129. Will add that to deployment to test if it works",
"It works as expected if I specify `AWS_REGION`, `AWS_SECRET_ACCESS_KEY`, and... | 2022-08-08T15:39:02 | 2022-09-01T13:57:30 | null | NONE | null | <img width="1727" alt="Screenshot 2022-08-08 at 18 16 17" src="https://user-images.githubusercontent.com/832185/183455928-0c6c6c10-da25-4c2b-b19f-13573e43bafe.png">
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https://api.github.com/repos/kubeflow/pipelines/issues/8104 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8104/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8104/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8104/events | https://github.com/kubeflow/pipelines/issues/8104 | 1,328,941,966 | I_kwDOB-71UM5PNguO | 8,104 | [feature] Make managing the artifact storage and cache available in the UI | {
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"Is it also possible to do this from the runs page? E.g. if you delete a run it tries to delete the artifacts and if you delete an experiment it deletes all runs and therefore all corresponding artifacts. This is what most datascientists expect when they delete a run. You are using ml-metadata which is not namespac... | 2022-08-04T17:05:33 | 2022-08-23T09:20:52 | null | NONE | null | I'd like users to be able to manage the artifacts their pipelines have created. This involves disabling or invalidating the cache for certain artifacts so that a pipeline can be re-executed without having to touch code.
I've first mentioned this feature [here](https://github.com/kubeflow/pipelines/issues/7939#issue... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8103 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8103/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8103/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8103/events | https://github.com/kubeflow/pipelines/issues/8103 | 1,328,918,911 | I_kwDOB-71UM5PNbF_ | 8,103 | [backend] JSONDecodeError: in BigQuery `bigquery_create_model_job` execution | {
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"Hi Team,\r\nany suggestions here?"
] | 2022-08-04T16:47:19 | 2022-08-08T15:36:08 | null | NONE | null | ### What steps did you take ###
Executing big query create model functionality through pipeline using
image: gcr.io/ml-pipeline/google-cloud-pipeline-components:1.0.13
command: [python3, -u, -m, google_cloud_pipeline_components.container.v1.gcp_launcher.launcher]
with type: `BigqueryCreateModelJob`,
Also foll... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8097 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8097/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8097/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8097/events | https://github.com/kubeflow/pipelines/issues/8097 | 1,326,753,840 | I_kwDOB-71UM5PFKgw | 8,097 | [sdk] Compilation with V2_COMPATIBLE mode fails when inputPath/outputPath name contains an empty space | {
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"Hi @ysk24ok. We no longer support v2-compatible mode. If you'd like to use this compilation style, please consider using the official KFP v2 pre-release (`pip install kfp --pre`). Otherwise, please use a name without a space for v2 compatible mode.",
"> please use a name without a space for v2 compatible mode. ... | 2022-08-03T06:42:59 | 2022-08-24T05:37:13 | null | CONTRIBUTOR | null | ### Environment
* KFP version:
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP SDK version: 1.8.13
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https://api.github.com/repos/kubeflow/pipelines/issues/8096 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8096/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8096/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8096/events | https://github.com/kubeflow/pipelines/issues/8096 | 1,326,701,089 | I_kwDOB-71UM5PE9oh | 8,096 | container not ready status showing | {
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"@kotalakshman, could you please provide some more information or screenshots to help us diagnose this issue?",
"issue got resolved.\r\n\r\nThanks"
] | 2022-08-03T05:33:06 | 2022-08-09T05:22:32 | 2022-08-09T05:22:32 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP version: 1.7.1
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https://api.github.com/repos/kubeflow/pipelines/issues/8095 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8095/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8095/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8095/events | https://github.com/kubeflow/pipelines/issues/8095 | 1,326,656,451 | I_kwDOB-71UM5PEyvD | 8,095 | [bug] TypeError: Object of type PipelineParam is not JSON serializable | {
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"Hi @lightingghost. Using a component within a list comprehension is not a permitted component usage pattern in the KFP SDK and will result in unpredictable behavior. This is the source of the error.\r\n\r\n`outputs = {i: compute(i).output for i in range(10)}`"
] | 2022-08-03T04:18:31 | 2022-08-04T22:46:55 | 2022-08-04T22:46:55 | NONE | null | ### Environment
<!-- Please fill in those that seem relevant. -->
* KFP SDK version:
1.8.13
### Steps to reproduce
```
import kfp
import kfp.v2.dsl as dsl
@dsl.component
def compute(x: int) -> int:
return x
@dsl.component
def print_op(results: dict):
print(results)
@dsl.pipeline(nam... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8094 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8094/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8094/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8094/events | https://github.com/kubeflow/pipelines/issues/8094 | 1,326,651,262 | I_kwDOB-71UM5PExd- | 8,094 | [feature] Nested component | {
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"Hi @lightingghost. Thanks for your feature request. This is concept of using a pipeline as a task is actually currently in development. You can look forward to this in an upcoming release.",
"heyyyy @connor-mccarthy, are there any updates or planned release date for that particular feature?\r\nHow could we help ... | 2022-08-03T04:10:03 | 2023-08-30T17:14:25 | 2023-03-21T17:48:59 | 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 would like to be able to do nested call to components, for example
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https://api.github.com/repos/kubeflow/pipelines/issues/8087 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8087/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8087/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8087/events | https://github.com/kubeflow/pipelines/issues/8087 | 1,324,028,715 | I_kwDOB-71UM5O6xMr | 8,087 | failed to authenticate with kubeflow pipeline [bug] <HTTP 500 error> | {
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"the second error message :\r\n\r\n HTTP response body: {\"error\":\"Internal error: Unauthenticated: Request header error: there is no user identity header.: Request header error: there is no user identity header.\\nFailed to authorize with API resource references\\ngithub.com/kubeflow/pipelines/backend/src/common... | 2022-08-01T08:23:46 | 2022-08-15T09:12:42 | null | NONE | null | * How do you deploy Kubeflow Pipelines (KFP)?
Kubeflow is deployed on MiniKF locally downloaded on windows using vagrant and Virtual Box
downloading steps : [here](https://v0-7.kubeflow.org/docs/started/workstation/getting-started-windows/)
* KFP version:
i cant fin it, neither on the dahsboard nor on the min... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8076 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8076/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8076/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8076/events | https://github.com/kubeflow/pipelines/issues/8076 | 1,320,093,507 | I_kwDOB-71UM5OrwdD | 8,076 | [bug] Kubeflow Pipelines Standalone Kustomize incompatible with K8s 1.22+ | {
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"I suspect that upgrading from KFP 1.7.1 fixes this. Never mind.",
"Hi, Im facing the same issue with Kubernetes 1.22, doesnt seem like KFP 1.7.1+ fixes this"
] | 2022-07-27T20:34:01 | 2023-05-03T10:03:40 | 2022-07-27T20:42:12 | NONE | null | KFP Kustomize setup does not work with Kubernetes 1.22+. The [kustomization.yaml](https://github.com/kubeflow/pipelines/blob/master/manifests/kustomize/cluster-scoped-resources/kustomization.yaml) references an API that was removed (apiextensions.k8s.io/v1beta1).
### Environment
* How do you deploy Kubeflow Pip... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8074 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8074/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8074/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8074/events | https://github.com/kubeflow/pipelines/issues/8074 | 1,319,210,049 | I_kwDOB-71UM5OoYxB | 8,074 | [feature] Add authorization to all functions in ReportServer | {
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"cc: @juliusvonkohout ",
"/assign @difince ",
"For the next KFP meeting ;-)",
"Hello @difince , the `ReportWorkflow` and `ReportScheduledWorkflow` are used by single persistent-agent instance for monitoring the status of workflow. persistent-agent itself cannot and shouldn't authenticate as a user. \r\n/assig... | 2022-07-27T08:33:39 | 2023-08-17T19:23:24 | 2023-08-17T19:23:24 | MEMBER | null | ### Feature Area
There are two API-server endpoints that still miss authorization - [ReportWorkflow](https://github.com/kubeflow/pipelines/blob/d48776fb2d9752ca48af14ea6256791d2b167a71/backend/src/apiserver/server/report_server.go#L32) and [ReportScheduledWorkflow](https://github.com/kubeflow/pipelines/blob/d48776fb2d... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8067 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8067/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8067/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8067/events | https://github.com/kubeflow/pipelines/issues/8067 | 1,316,994,341 | I_kwDOB-71UM5Of70l | 8,067 | [question] How does `importer` work under the hood? | {
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"/assign @chensun ",
"I'm not certain if the current KFP backend implementation on importer is correct or complete at this point. Concept-wise, importer doesn't download an artifact per se, it only retrieves or registers (if not found) an artifact record from MLMD. \r\nIt is launcher that handles downloading from... | 2022-07-25T15:19:13 | 2022-08-09T22:12:36 | 2022-08-09T22:12:36 | CONTRIBUTOR | null | I'm trying to find/understand the underlying Argo YAML for an `importer`. Is https://github.com/kubeflow/pipelines/blob/3e734ed19146f569e910f75627d12239ec2e86dc/backend/src/v2/compiler/argocompiler/testdata/importer.yaml the right place to look (for an example, of how https://github.com/kubeflow/pipelines/blob/c6125ffc... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8061 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8061/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8061/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8061/events | https://github.com/kubeflow/pipelines/issues/8061 | 1,314,925,604 | I_kwDOB-71UM5OYCwk | 8,061 | [bug] open /tmp/outputs/Output/data: permission denied | {
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"Hello @szymonbcoding, `V2_COMPATIBLE` is not supported any more. You can start using KFP SDK 2.0.0-beta and see if this resolves your problem. Note that there are breaking changes when you use the new v2.0+ SDK. Breaking change: https://docs.google.com/document/d/1nCUUVRXexXbQ0LDkGHsMIBDSu1WvJA9Upy1JzybNVMk/edit",... | 2022-07-22T12:08:01 | 2023-02-22T17:43:49 | null | NONE | null | ### Environment
<!-- Please fill in those that seem relevant. -->
* How do you deploy Kubeflow Pipelines (KFP)?
with Kubeflow on prem
* KFP version:
No info, just "Build: dev local | Dashboard v0.0.2- | Isolation-Mode: multi-user" in left corner of Kubeflow UI.
I got non-admin access to Kubeflow platform.
... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8060 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8060/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8060/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8060/events | https://github.com/kubeflow/pipelines/issues/8060 | 1,314,332,015 | I_kwDOB-71UM5OVx1v | 8,060 | This step is in Error state with this message: Error (exit code 1): failed to put file: You did not provide the number of bytes specified by the Content-Length HTTP header. | {
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"/assign @Linchin \r\n\r\nIt might be something related to argoworkflow: https://github.com/argoproj/argo-workflows/issues?q=is%3Aissue+%22+failed+to+put+file%22+is%3Aclosed.",
"We deployed a Kubeflow system with Minio on a NFS Storage and the same error happened.\r\nIt might be related to slow disk speed on Mini... | 2022-07-22T05:44:30 | 2023-08-28T20:58:53 | null | NONE | null | My pipeline contains several components, these components have OutputPath type variables, so there will be files stored in minio, but when running, a random component will generate an error:
`This step is in Error state with this message: Error (exit code 1): failed to put file: You did not provide the number of byte... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8053 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8053/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8053/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8053/events | https://github.com/kubeflow/pipelines/issues/8053 | 1,311,620,760 | I_kwDOB-71UM5OLb6Y | 8,053 | [feature] Re-enable extra_code parameter for Python components. | {
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"/assign @connor-mccarthy ",
"@casassg, thanks for creating this issue. Since our previous discussion, I want to provide a bit more context about how this functionality will be supported in the v2 KFP SDK, but through a slightly different approach than the `extra_code` parameter.\r\n\r\nIn v2, we're adding suppor... | 2022-07-20T18:02:17 | 2022-07-22T17:18:31 | null | CONTRIBUTOR | null | ### Feature Area
/area sdk
### What feature would you like to see?
In KFP v1, there's an option to extend lightweight python components via `extra_code` which enables to have non-primitive values as defaults supported. However in KFPv2 this seems to be largely unsupported. Even in KFP v1, seems to be di... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8052 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8052/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8052/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8052/events | https://github.com/kubeflow/pipelines/issues/8052 | 1,310,920,049 | I_kwDOB-71UM5OIw1x | 8,052 | [feature] Ability to add Runtime Class name to Kubeflow Pipeline | {
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"Hi @jayanthp-intellect, can you provide the reference for changing the default Runtime?",
"/assign @chensun ",
"@jlyaoyuli Refer to the following containerd config file auto-generated and managed by KOPS 1.23.x ([KOPS GPU support](https://github.com/kubernetes/kops/blob/master/docs/gpu.md)). This is on a GPU n... | 2022-07-20T11:45:08 | 2023-04-12T10:33:59 | null | NONE | null | ### Feature Area
/area backend
/area sdk
### What feature would you like to see?
Would like to have a separate method in kfp py package to add Runtime class (https://kubernetes.io/docs/concepts/containers/runtime-class/) to KF Pipeline Config and/or KFP Components. This is already supported in kubernetes py pac... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8051 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8051/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8051/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8051/events | https://github.com/kubeflow/pipelines/issues/8051 | 1,310,444,964 | I_kwDOB-71UM5OG82k | 8,051 | Not able to use Kubeflow PyTorchJob launcher as a Kubeflow Pipeline component - Always waiting | {
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"anyone else faced this issue ?",
"/cc @jagadeeshi2i Would you like to help with this issue? Thank you!",
"@kanwaljitkhurmi did the launcher start worker and master pods ? Can you share the logs or describe the pod.\r\n\r\nI could launch pytorch job for the example - https://github.com/kubeflow/pipelines/blob/m... | 2022-07-20T05:08:37 | 2022-08-16T06:13:16 | null | NONE | null | ### Environment
<!-- Please fill in those that seem relevant. -->
* How do you deploy Kubeflow Pipelines (KFP)?
As part of the Kubeflow Manifest 1.4
* KFP version:
* KFP SDK version:
1.8.4
### Steps to reproduce
Trying to use Kubeflow PyTorchJob launcher component in the kubeflow pipeline ,however ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8038 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8038/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8038/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8038/events | https://github.com/kubeflow/pipelines/issues/8038 | 1,306,982,279 | I_kwDOB-71UM5N5veH | 8,038 | Unable to set memory for a Kubeflow component using yaml | {
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"In the interim, it appears that I can set the memory in the pipeline json.",
"/assign @chensun ",
"Hi @patrickmead, are you using KFP SDK v1.8.*? \r\nYou can still set memory limit for components load from file. Example:\r\nhttps://github.com/kubeflow/pipelines/blob/d5bc8ddd6250d90b38cff5759e856f73e71e7d03/sdk... | 2022-07-17T04:14:45 | 2022-07-28T23:09:37 | null | NONE | null | I'm using yaml for my Kubeflow components which run on Vertex AI. I know that I have alternatives for creating components such as the python SDK, but I would like to use yaml directly if possible (rather than generating it). I see methods like set_memory_limit and set_memory_request for the ContainerOp but when I use... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8034 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8034/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8034/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8034/events | https://github.com/kubeflow/pipelines/issues/8034 | 1,305,520,428 | I_kwDOB-71UM5N0Kks | 8,034 | [frontend] Couldn't get Logs, Pod, and Events of any pipeline components in Runs | {
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"There is a similar issue https://github.com/kubeflow/kubeflow/issues/5605 \r\nAfter updating kubernetes-client, it works in his case, but for me, even though I upgraded it to 0.11.2 which supports IPv6, it didn't work.",
"Hi @vsk2015 , do you have any idea about this issue?",
"Hi @ConverJens , do you have any ... | 2022-07-15T03:11:38 | 2022-12-27T06:06:11 | 2022-07-21T11:25:17 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Following https://github.com/kubeflow/manifests/tree/v1.3.1
* Versions:
Kubeflow:1.3.1,
Pipeline:1.5.1,
"@kubernetes/client-node": "^0.11.2". Original version is "^0.8.2", tried to upgrade to "^0.11.2", but still the same errors.
"portable-fetch... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8014 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8014/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8014/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8014/events | https://github.com/kubeflow/pipelines/issues/8014 | 1,302,410,636 | I_kwDOB-71UM5NoTWM | 8,014 | [feature] Add primary key to DB tables | {
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"/assign @Linchin ",
"@ca-scribner Hi, we do create each DB with a column as primary key, see examples [here](https://github.com/kubeflow/pipelines/blob/061905b6df397c40fbcc4ffafa24d7b3b9daf439/backend/src/apiserver/model/run.go#L26) and [here](https://github.com/kubeflow/pipelines/blob/061905b6df397c40fbcc4ffafa... | 2022-07-12T17:28:22 | 2022-07-26T09:03:18 | 2022-07-26T09:03:18 | 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?
That kfp create [its database](https://github.com/kubeflow/pipelines/... | {
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"Hi @jazzsir , can you provide what kubernetes version you used? We are moving toward the emissary executor. Here is the doc for executor: https://www.kubeflow.org/docs/components/pipelines/installation/choose-executor/"
] | 2022-07-12T07:49:14 | 2022-07-21T22:44:57 | null | NONE | null | ### Environment
<!-- Please fill in those that seem relevant. -->
* How do you deploy Kubeflow Pipelines (KFP)? [standalone-deployment](https://www.kubeflow.org/docs/components/pipelines/installation/standalone-deployment/#deploying-kubeflow-pipelines)
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"/assign @connor-mccarthy ",
"@JebasinghLuccas, I do not believe there is any strict dependency on a KFP SDK version, so long as you're using a kfp SDK 1.x version, as we've adhered closely to the semantic versioning standards. The most recent is `1.8.13`.\r\n\r\nContext: Kubeflow 1.2 uses Kubeflow Pipelines 1.0.... | 2022-07-11T15:32:55 | 2022-07-22T15:54:48 | 2022-07-22T15:54:48 | NONE | null | i am wondering if there any dependencies in kfp python library version when i want to use it in kubeflow | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7995 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7995/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7995/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7995/events | https://github.com/kubeflow/pipelines/issues/7995 | 1,298,512,597 | I_kwDOB-71UM5NZbrV | 7,995 | [frontend] AWS S3 artifacts handler hardcode for s3 endpoint. | {
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"I've created a PR for this change here: https://github.com/kubeflow/pipelines/pull/8033\r\n"
] | 2022-07-08T05:34:00 | 2022-08-02T22:54:44 | 2022-08-02T22:54:44 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Install with Kubeflow
* KFP version:
1.8.2
### Steps to reproduce
Access the S3 artifaces locate in China regions(Beijing&Ningxia) the UI will run into errors:
```
S3Error: The provided token is malformed or otherwise invalid.
at Objec... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7990 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7990/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7990/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7990/events | https://github.com/kubeflow/pipelines/issues/7990 | 1,296,556,062 | I_kwDOB-71UM5NR-Ae | 7,990 | [backend] discussion - make jobs and runs top level resources? | {
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"/cc @zijianjoy @chensun @difince @IronPan @annajung \r\nWould be great to see your thoughts on this.",
"The decision is already taken in v2beta design [doc](https://docs.google.com/document/d/19oL11PfTZyuevgoMR00JlwMdJuR6U8to0N3CoMmtqeg/edit#) \r\nThe choisen approach is the experiment to be passed as an argumen... | 2022-07-06T22:28:53 | 2022-12-08T12:16:12 | null | COLLABORATOR | null | Currently we have jobs and runs as sub-resources of experiments, i.e., a job or a run must belong to one and only one experiment. This is reflected in creating runs and jobs by specifying resource references. In v2 API, we are planning to [retire resource references](https://docs.google.com/document/d/19OfU-hIsY4xBKA6b... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7986 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7986/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7986/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7986/events | https://github.com/kubeflow/pipelines/issues/7986 | 1,295,339,675 | I_kwDOB-71UM5NNVCb | 7,986 | [emissary] LibreOffice fails with emissary runtime. | {
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"With emissary executor, container cannot run commands with root privilege. Is that possible that `libreoffice` relies on some root privilege to run? Seems like this is out of control of KFP, and you have created https://github.com/argoproj/argo-workflows/issues/9117. "
] | 2022-07-06T07:26:51 | 2022-07-28T06:41:25 | 2022-07-14T23:12:28 | NONE | null | ## Summary
What happened/what you expected to happen?
I am need to use libreoffice headless to convert docx file to pdf. This is working execellent in Vanilla k8s and Databricks but when i do the same in Kubeflow which uses argo workflow at its backend it does not produce any output.
What version are you running... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7984 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7984/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7984/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7984/events | https://github.com/kubeflow/pipelines/issues/7984 | 1,295,052,551 | I_kwDOB-71UM5NMO8H | 7,984 | [bug] TFJob launcher pipeline task fails when `delete_finished_tfjob` flag is `True` | {
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"I found this PR in `kubeflow/training-operator` repo about similar problem.\r\nhttps://github.com/kubeflow/training-operator/pull/1281\r\n\r\nI think those changes above should be applied here and also to `nikenano/launchernew` container image.\r\nhttps://github.com/kubeflow/pipelines/blob/127dab4d4671849d596c455f... | 2022-07-06T02:58:07 | 2022-10-06T20:40:44 | 2022-07-13T07:37:03 | CONTRIBUTOR | null | https://github.com/kubeflow/pipelines/blob/127dab4d4671849d596c455f4619ea807d22f6ea/components/kubeflow/launcher/component.yaml#L19
When `delete_finished_tfjob` flag is `True`, TFJob launcher task fails with error below.
```
Traceback (most recent call last):
File "/ml/launch_tfjob.py", line 136, in <module>
... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7983 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7983/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7983/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7983/events | https://github.com/kubeflow/pipelines/issues/7983 | 1,294,522,107 | I_kwDOB-71UM5NKNb7 | 7,983 | [sdk] Cut a new release that supports `typing_extensions 4.0`? | {
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"think this is a dup of https://github.com/kubeflow/pipelines/pull/7801#issuecomment-1151064795 ?\r\nWith that said, any chance of getting a rough ETA of when 1.8.13 will be cut? =)",
"Can prob close this, kfp 1.8.13 was cut yesterday. \r\nThanks!"
] | 2022-07-05T16:34:35 | 2022-07-12T15:54:51 | 2022-07-12T15:54:51 | NONE | null | Currently, the latest `kfp=1.8.12` pins `typing_extensions to ` 'typing-extensions>=3.7.4,<4;python_version<"3.9"',`. This is a bit of a problem for us, since we have another dependency (PyTorch Lightning) that requires `typing-extensions >= 4`. Would it be possible to cut a new release that supports the latest typing... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7982 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7982/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7982/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7982/events | https://github.com/kubeflow/pipelines/issues/7982 | 1,294,232,642 | I_kwDOB-71UM5NJGxC | 7,982 | [backend] DeleteExperiment does not clean up all relevant children objects from the DB | {
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"I just saw this [comment](https://github.com/kubeflow/pipelines/blob/127dab4d4671849d596c455f4619ea807d22f6ea/backend/api/experiment.proto#L84-L87) in the code. It looks that the current behavior is intended to behave this way - it is not a bug. But IMO, the server should self-validate that all runs/jobs are delet... | 2022-07-05T12:27:54 | 2022-07-14T22:57:48 | null | MEMBER | null | ### Steps to reproduce
When [deleteExperiment](https://github.com/kubeflow/pipelines/blob/127dab4d4671849d596c455f4619ea807d22f6ea/backend/src/apiserver/server/experiment_server.go#L173) is called, not all children objects ( like Runs/ resource_references) are deleted from MySQL.
DeleteExperiment cannot be called f... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7972 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7972/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7972/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7972/events | https://github.com/kubeflow/pipelines/issues/7972 | 1,290,369,750 | I_kwDOB-71UM5M6XrW | 7,972 | [backend] Caching does not work when using volumes for the data_passing_method | {
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"u... | open | false | null | [] | null | [] | 2022-06-30T16:18:17 | 2022-07-08T08:25:48 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Install the Kubeflow Manifests manually via manifests (https://github.com/kubeflow/manifests#installation), install with a single command
* KFP version: 1.8.2
* KFP SDK version:
* kfp 1.8.12
* kfp-server-a... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7971 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7971/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7971/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7971/events | https://github.com/kubeflow/pipelines/issues/7971 | 1,290,199,934 | I_kwDOB-71UM5M5uN- | 7,971 | Metrics using SDK | {
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"@bertinma how did you resolve the issue?",
"I create a dictionary with my metrics and save to a minIO output path like this \r\n\r\n`metrics = {\r\n 'metrics': [\r\n {\r\n 'name': 'loss',\r\n 'numberValue': self.metrics_dict['loss'],\r\n ... | 2022-06-30T14:13:21 | 2022-09-02T13:34:42 | 2022-06-30T15:52:29 | NONE | null | Hi,
I'm. using kip to build my kubeflow pipeline following this method/tutorial : https://www.kubeflow.org/docs/components/pipelines/sdk/component-development/
So I have a python code, component.yaml, Dockerfile and build_image.sh files for each pipeline step.
I want to track metrics produced during evaluat... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7963 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7963/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7963/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7963/events | https://github.com/kubeflow/pipelines/issues/7963 | 1,288,081,345 | I_kwDOB-71UM5Mxo_B | 7,963 | [backend] Terminate Behavior Regression between Workflow Controllers 2.x vs 3.x (HEAD) | {
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"Do note that the expected behavior was true for Argo < 3, as the same function would fall through. I.e https://github.com/argoproj/argo-workflows/blob/v2.12.13/workflow/controller/exec_control.go#L89.",
"This will be resolved after we upgrade argo to version 3.3.",
"Is there a timeline for this? For this upgra... | 2022-06-29T02:03:52 | 2023-08-28T20:59:04 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP version:
1.8.2
* KFP SDK version:
1.8.2
### Steps to reproduce
Currently, Kubeflow's termina... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7947 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7947/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7947/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7947/events | https://github.com/kubeflow/pipelines/issues/7947 | 1,286,171,330 | I_kwDOB-71UM5MqWrC | 7,947 | [sdk] The component method .after() not working properly with multiple components from the same spec.yaml file | {
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"Could you write them as graph components and see if that works? I'm not sure using two \".after()\"s consecutively will work. You may also try wrapping the first two steps into a single component, and execute the third one after it. See example here:\r\nhttps://github.com/kubeflow/pipelines/blob/master/samples/con... | 2022-06-27T18:11:08 | 2022-06-30T22:37:57 | null | NONE | null | ### Environment
* KFP SDK version:
2.0.0a5
### Purpose
I am trying to build and run a pipeline using a reusable component, leveraging an image hosted in Google Container Registry, a `component-spec.yaml` file as well as the `load_component_from_file()` function. The pipeline consists of three components, wher... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7945 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7945/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7945/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7945/events | https://github.com/kubeflow/pipelines/issues/7945 | 1,284,915,508 | I_kwDOB-71UM5MlkE0 | 7,945 | Difference between add_volume and add_pvolume | {
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"Here is the documentation: \r\nhttps://kubeflow-pipelines.readthedocs.io/en/stable/source/kfp.dsl.html#kfp.dsl.BaseOp.add_volume\r\nhttps://kubeflow-pipelines.readthedocs.io/en/stable/source/kfp.dsl.html#kfp.dsl.BaseOp.add_pvolumes\r\n\r\nAre these what you are looking for?\r\n\r\nAs to volume vs. persistent volum... | 2022-06-26T13:34:54 | 2022-06-30T22:59:31 | null | NONE | null | I couldn't find any good documentation b/w add_volume and add_pvolume and when to use which. | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7939 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7939/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7939/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7939/events | https://github.com/kubeflow/pipelines/issues/7939 | 1,283,495,560 | I_kwDOB-71UM5MgJaI | 7,939 | [backend] the cache server does not check whether the cached artifacts have been deleted | {
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"I'm not entirely sure about v1 behavior, but in v2, we don't make any assumption on whether an artifact has content in its path. For instance, `Metrics` artifact has nothing in its cloud storage path but only metadata in the MLMD database. So it's by design that we don't check the \"existence\" of artifacts with o... | 2022-06-24T09:21:23 | 2022-10-14T08:33:59 | null | MEMBER | null | ### Environment
Kubeflow 1.5.1
### Steps to reproduce
The cache server wrongly states that the step is cached even if the artifacts have been deleted from S3. We propose https://github.com/kubeflow/pipelines/pull/7938 that checks whether the folder actually still exists on S3. If the folder does not exist we d... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7929 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7929/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7929/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7929/events | https://github.com/kubeflow/pipelines/issues/7929 | 1,280,850,698 | I_kwDOB-71UM5MWDsK | 7,929 | [frontend] Input/Output tab doesn't show information. | {
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"https://github.com/kubeflow/pipelines/blob/master/frontend/src/components/tabs/InputOutputTab.tsx#L149-L170\r\nhttps://github.com/kubeflow/pipelines/blob/master/frontend/src/mlmd/MlmdUtils.ts#L213-L228",
"Execution details:\r\nhttps://screenshot.googleplex.com/7E9SGJGD6hbrC7v\r\n\r\nPattern(RegExp) & Key in Exec... | 2022-06-22T20:34:33 | 2022-07-27T03:22:08 | 2022-07-27T03:22:08 | COLLABORATOR | null | We expect to see detailed information about the input and output in the Input/Output tab of components.
Currently it is not able to display the info.
https://screenshot.googleplex.com/3doJNfZJQ6AzmVb | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7923 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7923/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7923/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7923/events | https://github.com/kubeflow/pipelines/issues/7923 | 1,278,934,192 | I_kwDOB-71UM5MOvyw | 7,923 | [feature] Implement an agnostic way to initialize the database | {
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"KFP uses gorm which already provides abstraction. it might already be supported, or easy to tweak the config and support \r\nhttps://gorm.io/docs/connecting_to_the_database.html",
"That's right, but there is something in the code that end up with a switch-case where if MySQL is not the driver used, it will retur... | 2022-06-21T19:16:59 | 2022-07-06T17:33:32 | null | NONE | null | ### Feature Area
Currently, Kubeflow Pipelines relies on a specific database vendor (MySQL) which restrict users on database choice.
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
/area backend
<!-- /area sdk -->
<!-- /area samples -->
<!-- /area components --... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7917 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7917/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7917/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7917/events | https://github.com/kubeflow/pipelines/issues/7917 | 1,277,581,296 | I_kwDOB-71UM5MJlfw | 7,917 | ask 'no2-pipeline-xxg59.marge-pos-neg-data' errored: Pod "no2-pipeline-xxg59-3831270412" is invalid: spec.volumes[3].name: Duplicate value: "no2-pvc" | {
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"Maybe it's because the two `pvolumes` used in `marge_pos_neg_data` actually point to the same persistent volume? As in this line:\r\n```\r\n pvolumes = {\"/mnt/positive/\": load_negative_data.pvolume, \"/mnt/negative/\": load_positive_data.pvolume}\r\n```\r\n"
] | 2022-06-21T01:16:25 | 2022-06-30T23:20:39 | null | NONE | null | Hi, I am trying to run a Kubeflow pipeline.
Two steps will run in parallel and dump data to two different folders in PVC, then the third component will collect data from those t folders and merge them together and dump the merged data to another PVC folder.
`vop = dsl.VolumeOp(
name='no2-pvc',
... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7915 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7915/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7915/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7915/events | https://github.com/kubeflow/pipelines/issues/7915 | 1,275,832,061 | I_kwDOB-71UM5MC6b9 | 7,915 | Failed to copy data to Persistant Volume (PV) from GCS in Kubeflow Pipeline | {
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```
def get_pos_data(analyte_name: str = "no2", run_name: str = "no2"):
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https://api.github.com/repos/kubeflow/pipelines/issues/7909 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7909/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7909/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7909/events | https://github.com/kubeflow/pipelines/issues/7909 | 1,275,339,713 | I_kwDOB-71UM5MBCPB | 7,909 | [bug] Minio S3 Gateway results in 'pipeline spec is invalid' | {
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"Could you please share the pipeline template that you used?",
"It says in the description: [Tutorial] Data passing in python components",
"I am facing the same error but just for tutorial pipeline example , I can create runs for pipelines I created"
] | 2022-06-17T18:22:22 | 2022-10-10T12:14:13 | null | NONE | null | ### What steps did you take
I updated minio on Kubeflow version 1.5.0 standard manifest install on a generic cluster to use an s3 gateway.
I also updated the bucket name on pipeline-install-config which was reflected in the workflow-controller-configmap
### What happened:
Minio came up correctly, and was able... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7904 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7904/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7904/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7904/events | https://github.com/kubeflow/pipelines/issues/7904 | 1,273,919,121 | I_kwDOB-71UM5L7naR | 7,904 | [backend] GCR images not accessible: `Consumer 'project:ml-pipeline' has been suspended.` | {
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"Okay, this feels real, I can't access any of the images from this repo: `ml-pipeline`\r\n\r\nAnd confirmed that other gcr.io pulls work fine, for example: `gcr.io/google-containers/busybox@sha256:d8d3bc2c183ed2f9f10e7258f84971202325ee6011ba137112e01e30f206de67`",
"This is definitely an issue our cluster is havin... | 2022-06-16T18:09:31 | 2022-06-16T22:26:40 | 2022-06-16T22:26:40 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Standalone installation with Kustomize on EKS.
* KFP version: 1.7.0
My KFP runs are failing and when I tried to pull this image: `gcr.io/ml-pipeline/argoexec:v3.1.14-license-compliance` manually from another unrelated machine, that failed with... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7894 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7894/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7894/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7894/events | https://github.com/kubeflow/pipelines/issues/7894 | 1,272,320,517 | I_kwDOB-71UM5L1hIF | 7,894 | [sdk] 1.8.1 git tag is misplaced | {
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"Hello @davidxia , the SDK versions in Pypi are not the same as GitHub release tags. KFP package in Pypi (SDK) has its own release cycle. The GitHub release tags are for KFP backend (docker images)."
] | 2022-06-15T14:26:23 | 2022-06-23T22:45:07 | 2022-06-23T22:45:07 | CONTRIBUTOR | null | The 1.8.1 git tag is [here](https://github.com/kubeflow/pipelines/commits/1.8.1/sdk/python/requirements.in) on Nov 23, 2021. The `kfp` package on Pypi [here](https://pypi.org/project/kfp/#history) was published on Sep 10, 2021. I suspect the git tag is misplaced and should be moved back to the correct commit that creat... | {
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F0614 17:22:43.063393 18 main.go:74] KFP driver: driver.RootDAG(pipelineName=my-test-pipeline-beta, runID=8aa7dfc3-519f-4548-b886-ff1a11a37a4e, runtimeConfig, componentSpec) failed: Failed PutContext(name="8aa7dfc3-519f-4548-b886-ff1a11a37a4e", type="system.PipelineRun", typeid=16): rpc error: code = Unavaila... | {
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"Could you check the resource usage in your cluster, and see if any limit was reached? You may also consider upgrading to 1.8.",
"@Linchin No limit was reached when it comes to resource usage. "
] | 2022-06-14T08:50:53 | 2022-07-18T10:16:46 | null | NONE | null | ### What steps did you take
Create a pipeline with working ML algorithm.
### What happened:
We encountered considerable delay (lasting more than 2 minutes) in showing steps in Kubeflow UI after navigating to Runs. Initially, after opening Runs, Kubeflow Pipelines UI shows only a blank window. The algorithm's st... | {
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"/assign @connor-mccarthy ",
"@defoishugo, thanks for reaching out. This is on our development roadmap as a \"Bring your own container\" feature. I believe this will meet your needs once implemented.",
"@connor-mccarthy perfect!\r\n\r\nCurrent workaround: using YML file with a container implementation. The issu... | 2022-06-13T18:53:58 | 2023-08-10T20:19:38 | 2023-08-10T20:19:38 | NONE | null | ### Feature Area
/area sdk
/area samples
/area components
### What feature would you like to see?
The ability to create custom container jobs, not only for training.
In my mind, we should be able to output user-defined artifacts (e.g.: metrics, datasets, two models, ...).
### What is the use case or pai... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7880 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7880/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7880/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7880/events | https://github.com/kubeflow/pipelines/issues/7880 | 1,267,821,647 | I_kwDOB-71UM5LkWxP | 7,880 | [CI] release-1.8 branch build-each-commit error | {
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"The issue appears to be caused by go 1.18 adds additional info which are not recognized by the license check tool. Found a similar issue: https://github.com/uw-labs/lichen/issues/14\r\n\r\nIn the latest go-licenses tool, we removed the feature of checking licenses from binary file, so this issue shouldn't be a blo... | 2022-06-10T17:21:55 | 2022-06-16T22:56:22 | 2022-06-16T22:56:22 | COLLABORATOR | null | CRD viewer build failure on the go-licenses check
```
Step 8/17 : RUN go-licenses csv /bin/controller > /tmp/licenses.csv && diff /tmp/licenses.csv backend/third_party_licenses/viewer.csv && go-licenses save /tmp/licenses.csv --save_path /tmp/NOTICES
---> Running in 8c96b00fe722
listModulesInGoBinary(pa... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7879 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7879/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7879/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7879/events | https://github.com/kubeflow/pipelines/issues/7879 | 1,267,052,820 | I_kwDOB-71UM5LhbEU | 7,879 | [feature] TaskSpecs from create_component_from_func to support "after(...)" | {
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"Actually, I just discovered that this request is not needed. It appears that this is already supported, but I ran into this issue because I was working outside of the compiler. To others who stumble upon this issue: it appears that I do in fact get ContainerOps back from `kfp.components.create_component_from_func`... | 2022-06-10T05:37:07 | 2022-06-12T05:00:04 | 2022-06-12T05:00:04 | NONE | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
<!-- /area backend -->
/area sdk
<!-- /area samples -->
/area components
### What feature would you like to see?
<!-- Provide a description of this feature and the user experience. -->
All... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7878 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7878/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7878/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7878/events | https://github.com/kubeflow/pipelines/issues/7878 | 1,266,758,583 | I_kwDOB-71UM5LgTO3 | 7,878 | [feature] Seek alternative for object store solution other than MinIO | {
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"I would clarify it a bit more\r\n\r\n- It is open sourced and uses license that can be accepted by KFP, something similar to Apache 2.0.\r\n- Orchestration engine (like Argoworkflow) can interact with this object store (S3 compatibility).\r\n- It has fine-grained S3 permission control e.g. ${aws:username} https://... | 2022-06-09T23:15:32 | 2023-08-23T14:06:44 | null | COLLABORATOR | null | ### Feature Area
/area backend
/area frontend
### What is the use case or pain point?
Currently, KFP is using MinIO as the default object store for Artifact payload and Pipeline template. However, MinIO has fully changed its license to AGPLv3 since 2021. This change has prevented KFP from upgrading to the lat... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7861 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7861/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7861/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7861/events | https://github.com/kubeflow/pipelines/issues/7861 | 1,264,805,012 | I_kwDOB-71UM5LY2SU | 7,861 | [feature] google-cloud component for loading existing VertexDataset | {
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"Thanks, @defoishugo. This development is currently in progress and should be released with an upcoming v2 alpha release!",
"Thank you @connor-mccarthy.\r\n\r\nJust to let you know, I found this workaround for my task:\r\n\r\n```\r\n@component(base_image=\"python:3.9\", packages_to_install=[\"google-cloud-aiplatf... | 2022-06-08T14:02:34 | 2023-01-26T14:11:27 | null | NONE | null | ### Feature Area
/area sdk
/area samples
/area components
### What feature would you like to see?
A new component to load existing VertexDataset.
Related to #7792
### What is the use case or pain point?
As a user, I have one existing dataset in VertexAI. I am doing several experiments with different m... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7860 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7860/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7860/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7860/events | https://github.com/kubeflow/pipelines/issues/7860 | 1,264,647,569 | I_kwDOB-71UM5LYP2R | 7,860 | Passing big data between components SDK[V2] | {
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"Are you sure you've included the whole code?\r\n\r\nI'm not sure this can work: `output_path.path`.\r\nYou should replace it with just `output_path`.\r\n\r\nYour second issue is that your 2nd component is getting the texts without `InputPath`.\r\nReplace `docs: List[str]` with `docs_path: InputPath(List[str])`.\r\... | 2022-06-08T12:12:32 | 2022-08-09T22:13:48 | null | NONE | null | ### What steps did you take
1. Read text data from file on minio, write it to `Outputpath` to pass it to next step
`@component(base_image='wafaaabdelhafez/tensorflow-2')
def load_docs(output_path: OutputPath(List[str])):
from minio import Minio
import json
client = Minio()
obj = client.ge... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7859 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7859/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7859/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7859/events | https://github.com/kubeflow/pipelines/issues/7859 | 1,264,512,907 | I_kwDOB-71UM5LXu-L | 7,859 | Deploy a new version of a model | {
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"Hello @clausagerskov \r\nKFP SDK doesn't have client to talk to Vertex AI service. Would you mind creating another issue under this repo: https://github.com/googleapis/python-aiplatform ? Thank you."
] | 2022-06-08T10:12:42 | 2022-06-16T22:48:04 | 2022-06-16T22:48:04 | NONE | null | ### Feature Area
As per this issue in the vertex-ai-samples repo,
https://github.com/GoogleCloudPlatform/vertex-ai-samples/issues/585
Vertex AI has model versions numbers that increase when manually importing models with the GUI.
Is updating models to higher versions supported when doing CI/CD using kubeflow pipel... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7858 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7858/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7858/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7858/events | https://github.com/kubeflow/pipelines/issues/7858 | 1,264,490,612 | I_kwDOB-71UM5LXph0 | 7,858 | KFP SDK should support other cloud platforms other than GCP for storing image artifacts built via "build_image_from_working_dir" | {
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"`build_image_from_working_dir` is deprecated, you can use the following KFP CLI to build component for KFPv2:\r\n\r\n```\r\nkfp component build --help\r\n```\r\n\r\ncc @chensun @connor-mccarthy "
] | 2022-06-08T09:54:27 | 2022-06-23T23:00:45 | null | NONE | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
<!-- /area backend -->
/area sdk
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
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