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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions."
] | 2023-01-17T22:05:13 | 2023-08-27T07:42:10 | null | MEMBER | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
<!-- /area backend -->
/area sdk
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
KFP SDK uses [conventional commits](https://www.conventionalcommits.o... | {
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] | 2023-01-17T18:29:00 | 2023-08-28T16:21:40 | null | COLLABORATOR | null | ### Feature Area
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/area frontend
<!-- /area backend -->
<!-- /area sdk -->
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
With MLMD upgrade to 1.4.0, we are able to list multi-layer lineage g... | {
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"Hi @MatthewRalston , \r\n\r\nFirst of all `dsl.ContainerOp` has been deprecated as a user interface, you should have seen a deprecation warning on it.\r\nHowever, I think the real culprit for the error is `str(fastq1).rstrip(\".gz\")`, this is code not containerized. You can either wrap the code in a lightweight c... | 2023-01-17T13:27:32 | 2023-02-02T23:56:41 | 2023-02-02T23:56:41 | NONE | null | ### Environment
<!-- Please fill in those that seem relevant. -->
Minikube v1.28.0
kubernetes 1.22.2
Kustomize v3.2.0
kubectl v1.25.5
Manifests v1.6.1
* How do you deploy Kubeflow Pipelines (KFP)?
Locally, on minikube, via manifests v1.6.1.
I've also experimented with Argoflow on my OS, but it's not r... | {
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"The Error comes out because you failed to access to kfp client.\r\nTry like this\r\n```\r\nimport requests\r\n\r\nUSERNAME = \"user@example.com\"\r\nPASSWORD = \"12341234\" \r\nNAMESPACE = \"kubeflow-user-example-com\"\r\nHOST = \"http://127.0.0.1:8080\" # your istio-ingressgateway pod ip:8080\r\n\r\nsession = req... | 2023-01-16T18:32:28 | 2023-08-28T15:35:22 | 2023-08-28T15:35:21 | NONE | null | ### Environment
* KFP version:
Kubeflow 1.5
* KFP SDK version:
KFP v2.0.0b10
* All dependencies version:
kfp 2.0.0b10
kfp-pipeline-spec 0.1.17
kfp-server-api 2.0.0a6
### Steps to reproduce
Tried upgrading from KFP 1.8 to 2.0 for higher version kubernetes sdk sup... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8680 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8680/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8680/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8680/events | https://github.com/kubeflow/pipelines/issues/8680 | 1,534,951,739 | I_kwDOB-71UM5bfYE7 | 8,680 | What is Difference of pipelines between V1 and V2??? | {
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"Hi @kimkihoon0515 \r\n\r\n> Does V2 still supports argo workflow or not??\r\n\r\nKFP v2 still supports argo workflow.\r\n\r\n> And for now V1 compiler compiles pipeline into yaml file but in V2 the compiler only supports json file format.\r\n> Are you guys planning to support a function that supports to be compile... | 2023-01-16T13:34:09 | 2023-08-28T07:42:20 | null | NONE | null | Does V2 still supports argo workflow or not??
And for now V1 compiler compiles pipeline into yaml file but in V2 the compiler only supports json file format.
Are you guys planning to support a function that supports to be compiled as a yaml file??
Plus what is pipeline Spec? | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8676 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8676/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8676/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8676/events | https://github.com/kubeflow/pipelines/issues/8676 | 1,533,811,531 | I_kwDOB-71UM5bbBtL | 8,676 | [feature] conda-forge feedstock github repository for google-cloud-pipeline-components | {
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"Happy to help or to give more context on this FR",
"just some context, there are already 62 google-cloud python packages available in conda-forge channel\r\n\r\nhttps://github.com/orgs/conda-forge/repositories?q=google-cloud-&type=all&language=&sort=\r\n**62 results for all repositories matching google-cloud- so... | 2023-01-15T13:17:57 | 2023-08-28T07:42:22 | null | NONE | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
<!-- /area backend -->
<!-- /area sdk -->
<!-- /area samples -->
/area components
### What feature would you like to see?
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https://api.github.com/repos/kubeflow/pipelines/issues/8675 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8675/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8675/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8675/events | https://github.com/kubeflow/pipelines/issues/8675 | 1,533,198,027 | I_kwDOB-71UM5bYr7L | 8,675 | [bug] <KFP v2 Metrics Doesn't show up> | {
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"Hello @kimkihoon0515 , can you deploy Kubeflow Pipelines 2.0.0-alpha versions like this one? https://github.com/kubeflow/pipelines/releases/tag/2.0.0-alpha.6.\r\n\r\nAlso, please use KFP SDK version which is 2.0.0-beta like this one: https://github.com/kubeflow/pipelines/releases/tag/2.0.0b10",
"@zijianjoy Hey ... | 2023-01-14T09:42:34 | 2023-01-19T23:40:33 | 2023-01-19T23:40:33 | NONE | null | ### Environment
<!-- Please fill in those that seem relevant. -->
* How do you deploy Kubeflow Pipelines (KFP)?
I deployed Kubeflow using this command
```
minikube start --driver=docker --kubernetes-version=1.23.14 --memory=12g --cpus=4
```
* KFP version:
1.8.18
### Steps to reproduce
I'm trying to... | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions."
] | 2023-01-13T19:48:16 | 2023-08-28T07:42:25 | null | NONE | null | ### Environment
* KFP version:
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP SDK version: 1.8.12
* `google-cloud-pipeline-components 1.0.4`
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https://api.github.com/repos/kubeflow/pipelines/issues/8666 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8666/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8666/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8666/events | https://github.com/kubeflow/pipelines/issues/8666 | 1,528,626,831 | I_kwDOB-71UM5bHP6P | 8,666 | [sdk] Accept higher PyYAML versions | {
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<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
<!-- /area backend -->
/area sdk
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
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https://api.github.com/repos/kubeflow/pipelines/issues/8661 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8661/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8661/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8661/events | https://github.com/kubeflow/pipelines/issues/8661 | 1,526,100,273 | I_kwDOB-71UM5a9nEx | 8,661 | [sdk] `wait_for_run_completion` occasionally hangs forever in `RunServiceApi.get_run` call | {
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"@jli Thanks for reaching out. Can you provide how you observe the run status (GetRun API call)? Also, have you experienced this issue from UI as well? Can you provide a few screenshot of your logging?",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed i... | 2023-01-09T18:27:50 | 2023-08-28T07:42:27 | null | CONTRIBUTOR | null | ### Environment
* KFP version: 1.7.1
* KFP SDK version: 1.8.12
* All dependencies version:
```
kfp 1.8.12
kfp-pipeline-spec 0.1.16
kfp-server-api 1.8.3
```
(I know we're on an older version of the kfp sdk, but it doesn't look like the relevant c... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8660 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8660/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8660/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8660/events | https://github.com/kubeflow/pipelines/issues/8660 | 1,525,743,316 | I_kwDOB-71UM5a8P7U | 8,660 | Contributing to pipeline CICD for ppc64le arch | {
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"@pranavpandit1 We suggest you to pull the changes from our website and make your own CICD pipeline, because our current testing infra in Google Cloud (GKE), and we don't have the access to IBM Power. Feel free to reopen this if you have any idea or suggestion.",
"@jlyaoyuli \r\n we can add support for ppc64le ... | 2023-01-09T14:50:34 | 2023-06-16T13:13:00 | null | NONE | null | Hello,
My team is working on a request of "Porting Kubeflow to IBM Power (ppc64le)"
For the same purpose, we want to contribute to CICD for the pipeline repository for ppc64le architecture.
Kindly provide the details of how to access existing CI builds, files, logs, etc.
for more details, reference the link ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8654 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8654/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8654/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8654/events | https://github.com/kubeflow/pipelines/issues/8654 | 1,520,574,513 | I_kwDOB-71UM5aoiAx | 8,654 | [feature] Add filter for finished_at runs | {
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<!-- Uncomment the labels below which are relevant to this feature: -->
/area sdk
### What feature would you like to see?
Protocol buffer filtering for the `finished_at` field in runs.
### What is the use case or pain point?
We are looking to archive runs that finished over 90 days ago.... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8650 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8650/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8650/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8650/events | https://github.com/kubeflow/pipelines/issues/8650 | 1,518,810,483 | I_kwDOB-71UM5ahzVz | 8,650 | [sdk] No longer possible to compile components that use PipelineTaskFinalStatus | {
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"Closed due to replication of #8649"
] | 2023-01-04T11:29:26 | 2023-01-05T23:51:24 | 2023-01-05T23:51:24 | CONTRIBUTOR | null | ### Environment
* KFP version: N/A
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP SDK version: 2.0.0b10
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https://api.github.com/repos/kubeflow/pipelines/issues/8649 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8649/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8649/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8649/events | https://github.com/kubeflow/pipelines/issues/8649 | 1,518,810,123 | I_kwDOB-71UM5ahzQL | 8,649 | [sdk] No longer possible to compile components that use `PipelineTaskFinalStatus` | {
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"I'm impacted by this too, and not clear what the workaround is either. Is there a standard way I'm not finding in Vertex to report exit status?",
"This is on our radar to fix, @berniecamus. No update/workaround yet.",
"This issue has been automatically marked as stale because it has not had recent activity. It... | 2023-01-04T11:29:09 | 2023-08-28T15:35:47 | 2023-08-28T15:35:46 | CONTRIBUTOR | null | ### Environment
* KFP version: N/A
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP SDK version: 2.0.0b10
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https://api.github.com/repos/kubeflow/pipelines/issues/8648 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8648/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8648/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8648/events | https://github.com/kubeflow/pipelines/issues/8648 | 1,518,787,063 | I_kwDOB-71UM5ahtn3 | 8,648 | [sdk] jsonschema dependency pinning | {
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"Moving back a little in time seems to be fine -- the following runs without an issue\r\n\r\n```\r\nFROM mambaorg/micromamba:jammy as build-stage\r\n\r\nRUN micromamba install --name base --channel conda-forge \\\r\n \"python >=3.10\" \\\r\n \"kfp >=1.8\" \\\r\n \"jupyterlab 3.2.*\" \\\r\n \"jupyterlab_... | 2023-01-04T11:16:25 | 2023-08-28T07:42:31 | null | NONE | null | ### Environment
* KFP SDK version: `>=1.8`
### Steps to reproduce
In the `requirements.in` file, `jsonschema >=3.0.1,<4`. A lot of other packages (e.g. [jupyterlab, via jupyterlab_server](https://github.com/conda-forge/jupyterlab_server-feedstock/blob/main/recipe/meta.yaml#L27)) have moved to `jsonschema >=... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8641 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8641/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8641/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8641/events | https://github.com/kubeflow/pipelines/issues/8641 | 1,517,061,835 | I_kwDOB-71UM5abIbL | 8,641 | Pipeline：<lambda>() missing 1 required positional argument: 'y' | {
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"Hi @leoliang1988, it looks like this error message comes from the function `model.fit()`, where it requires more input arguments than you provided. Maybe the `DummyClassifier`'s documentation can provide more info?"
] | 2023-01-03T08:17:30 | 2023-01-05T23:47:11 | 2023-01-05T23:47:10 | NONE | null |
Hello,here is my model:
model = Pipeline([
('scaler',FunctionTransformer(StandardScaler().fit_transform, validate=True)),
('dummy', FunctionTransformer(lambda X, y: dummy_fit_transform(X, y), validate=False)),
('reshape', FunctionTransformer(reshape_to_3d, validate=True)),
('bidirectional', KerasClassifier(bui... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8627 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8627/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8627/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8627/events | https://github.com/kubeflow/pipelines/issues/8627 | 1,508,877,981 | I_kwDOB-71UM5Z76ad | 8,627 | [sdk] dsl.Condition throws Attribute error on valid condition in kfp.compiler.compiler_utilsL131 | {
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"`str(fastq1).endswith(\".gz\")` is not a valid condition to `dsl.Condition`.\r\n`dsl.Condition` expects two operants and an operator:\r\n\r\nhttps://www.kubeflow.org/docs/components/pipelines/v2/author-a-pipeline/pipelines/#dslcondition"
] | 2022-12-23T04:40:38 | 2022-12-30T00:03:54 | 2022-12-30T00:03:54 | NONE | null | ### Environment
* KFP version:
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
Minikube v1.28.0
kubernetes 1.22.2
Kustomize v3.2.0
kubectl v1.25.5
Manifests v1.6.1
* KFP SDK version:
<!-- Specify the version of Kub... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8626 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8626/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8626/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8626/events | https://github.com/kubeflow/pipelines/issues/8626 | 1,508,525,416 | I_kwDOB-71UM5Z6kVo | 8,626 | [bug] kfp does not allow introspection of PipelineParam values for debugging. | {
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"This is expected behavior. See [comment](https://github.com/kubeflow/pipelines/issues/8203#issuecomment-1366043593) for a relevant information.\r\n\r\nYou can achieve this by swapping out the arbitrary Python code in `dsl.Condition` for a task that does the check:\r\n\r\n```\r\nis_gz_task = is_gz(path=infile)\r\nw... | 2022-12-22T20:48:50 | 2022-12-27T18:51:21 | 2022-12-27T17:04:42 | NONE | null | ### Environment
<!-- Please fill in those that seem relevant. -->
```bash
Minikube v1.28.0
kubernetes 1.22.2
Kustomize v3.2.0
kubectl v1.25.5
Manifests v1.6.1
kfp 1.8.17
kfp-pipeline-spec 0.1.16
kfp-server-api 1.8.5
```
* How do you deploy Kubefl... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8624 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8624/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8624/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8624/events | https://github.com/kubeflow/pipelines/issues/8624 | 1,507,111,121 | I_kwDOB-71UM5Z1LDR | 8,624 | [frontend] brace-editor search module not imported or included in webpack | {
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"@Linchin You moved this issue to \"Needs More Info\" but I'm not sure what additional information would be necessary. What else is required to move forward with this?",
"Pinging @jlyaoyuli and @chensun to see if I can get more context around the \"Needs More Info\" status",
"@Linchin @jlyaoyuli @chensun I'm st... | 2022-12-22T01:12:08 | 2023-08-10T15:37:11 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
* Minikube v1.28.0
* kubernetes 1.21.14
* Kustomize v3.2.0
* kubectl v1.26.0
* Manifests v1.6.1
* KFP version: dev_local from latest master (2.0.0-alpha6?)
### Steps to reproduce
Open any page in UI which uses brace-ed... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8605 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8605/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8605/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8605/events | https://github.com/kubeflow/pipelines/issues/8605 | 1,504,198,785 | I_kwDOB-71UM5ZqECB | 8,605 | [bug] Max retries exceeded with connection refused | {
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"Update in status. I can verify the `istio-ingressgateway` internal address (1.2.3.4 here) but the external IP is still wonky.\r\n```bash\r\nistio-ingressgateway NodePort 1.2.3.4 <none> 1234:2345/TCP,80:987/TCP,443:789/TCP,5678:6789/TCP,91234:92234/TCP 15h\r\n\r\n```",
"If I use the port described... | 2022-12-20T08:53:06 | 2023-01-17T13:15:06 | 2023-01-17T13:15:06 | NONE | null | ### Environment
<!-- Please fill in those that seem relevant. -->
* How do you deploy Kubeflow Pipelines (KFP)?
Minikube v1.28.0
kubernetes 1.22.2
Kustomize v3.2.0
kubectl v1.25.5
Manifests v1.6.1
### Manifests were installed on a running minikube instance:
```bash
# After clone..
while ! kustomize ... | {
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"u... | closed | false | null | [] | null | [] | 2022-12-19T20:08:29 | 2022-12-20T09:44:16 | 2022-12-20T09:44:16 | NONE | null | Code:
```
extract_output = BigqueryQueryJobOp(
project=bq_project,
location=bq_location,
query=get_query()
)
```
Error message:
> RuntimeError: The BigQuery job https://www.googleapis.com/bigquery/v2/projects/xxx/jobs/job_XXXXXXXYTxuWce7PjLzOHK1tEZ?location=EU failed. Error: {'e... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8600 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8600/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8600/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8600/events | https://github.com/kubeflow/pipelines/issues/8600 | 1,503,480,284 | I_kwDOB-71UM5ZnUnc | 8,600 | SDK: Drop support for Python 3.7 in Q2/Q3 2023 | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions."
] | 2022-12-19T19:43:06 | 2023-08-28T07:42:33 | null | COLLABORATOR | null | Python 3.7 will reach its EOL on June 23, 2023: https://devguide.python.org/versions/#supported-versions
We plan to drop Python 3.7 support in KFP SDK around the same time.
Please feel free to comment or vote on this issue. | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8599 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8599/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8599/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8599/events | https://github.com/kubeflow/pipelines/issues/8599 | 1,503,425,705 | I_kwDOB-71UM5ZnHSp | 8,599 | [frontend] No graph to show with increasing number of pods | {
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"This was a regression in the Pipeline frontend, it has been fixed in #8343, but has not been part of a release yet. If this feature is a must have, a custom image of the Pipeline frontend can be [built](https://github.com/kubeflow/pipelines/blob/master/developer_guide.md).\r\n\r\nSimilar issue for more context: ht... | 2022-12-19T19:01:45 | 2023-02-08T23:58:41 | 2023-02-08T23:58:40 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Cloud: AWS, EKS.
* KFP version:
Kubeflow - 1.6.1
KFP - 1.8.13
### Steps to reproduce
No graph to show error (even though the pipeline successfully ran)
![Screenshot 2022-12-19 at 2 11 38 PM](https://user-images.githubusercontent.com/5812673... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8596 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8596/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8596/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8596/events | https://github.com/kubeflow/pipelines/issues/8596 | 1,501,840,996 | I_kwDOB-71UM5ZhEZk | 8,596 | [sdk] How to apply PVCs to pipeline tasks when using KFP SDK v2 | {
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"@yshimizu37 PVC is not supported yet in SDK v2. It's on our roadmap to be supported once [platform-specific runtime support](https://docs.google.com/document/d/10Cx-B18V6gR35VOmTe8_8gB67srOFF_un7NN8qXP1T4/edit#heading=h.x9snb54sjlu9) is ready. (Join [kubeflow-discuss](https://groups.google.com/g/kubeflow-discuss) ... | 2022-12-18T09:53:55 | 2023-08-28T15:34:57 | 2023-08-28T15:34:57 | NONE | null | ### Environment
* KFP version:
I could not find out my KFP version.
Not sure this is a valuable information, but I am using Kubeflow v1.6(manually installed).
* KFP SDK version:
2.0.0b8
* All dependencies version:
kfp 2.0.0b8
kfp-pipeline-spec 0.1.16
kfp-server-api ... | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions."
] | 2022-12-16T20:53:12 | 2023-08-29T07:41:51 | null | NONE | null | TabularDatasetCreateOp Fails to Validate Labels because they are a string not dict. This fails whether or not the labels are passed in. The underlying function `TabularDataset.create` works without issues.
### Environment
* KFP version:
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"@telpirion, can you verify whether you get the same result using the latest versions of KFP SDK v1 and GCPC v1? If so, can you provide a minimal reproducible example?",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Than... | 2022-12-16T19:43:50 | 2023-08-29T07:41:52 | null | NONE | null | ## Environment
* KFP version:
Vertex Pipelines
* KFP SDK version:
v1.8.12
### Steps to reproduce
+ Pass the output of another operation to the ModelBatchPredictOp, subscript into the `output` property
+ Compile the pipeline
### Expected result
Pipeline compiles
### Actual result
Receiv... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8590 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8590/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8590/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8590/events | https://github.com/kubeflow/pipelines/issues/8590 | 1,500,760,199 | I_kwDOB-71UM5Zc8iH | 8,590 | docs(google-cloud-components): param names for ModelBatchPredictOp are wrong | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions."
] | 2022-12-16T19:32:18 | 2023-08-29T07:41:54 | null | NONE | null | ## Environment
<!-- Please fill in those that seem relevant. -->
* How do you deploy Kubeflow Pipelines (KFP)?
Vertex AI Workbench
* KFP version:
Vertex Pipelines
* KFP SDK version:
1.8.12
## Repro
When trying to create a `ModelBatchPredictOp` in my pipeline, I get a `gcs_source_uris` `KeyEr... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8586 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8586/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8586/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8586/events | https://github.com/kubeflow/pipelines/issues/8586 | 1,500,022,962 | I_kwDOB-71UM5ZaIiy | 8,586 | [sdk] Can't compile component that uses PipelineTaskFinalStatus: Enum value for ParameterTypeEnum must be an int, but got <class 'NoneType'> None. | {
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* KFP version: 2.0.0b8
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP SDK version: 2.0.0b8
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https://api.github.com/repos/kubeflow/pipelines/issues/8581 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8581/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8581/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8581/events | https://github.com/kubeflow/pipelines/issues/8581 | 1,498,781,827 | I_kwDOB-71UM5ZVZiD | 8,581 | [feature] User defined Init and Wait container resources in Pipeline Spec | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions."
] | 2022-12-15T16:58:46 | 2023-08-29T07:41:56 | 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?
We’re looking into ways to provide resource requests and limits for each pipel... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8580 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8580/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8580/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8580/events | https://github.com/kubeflow/pipelines/issues/8580 | 1,498,434,779 | I_kwDOB-71UM5ZUEzb | 8,580 | [bug] component VertexNotificationEmailOp fails when there are 2-level chained conditions | {
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"/assign @chongyouquan ",
"Got the same issue. We should have a fix for Vertex AI on GCP. The fix will need 3 weeks to be deployed.\r\nhttps://issuetracker.google.com/issues/274611724",
"On my side, it is now working in europe-west4. Look like GCP team fully deployed the fix",
"This issue has been automatical... | 2022-12-15T13:26:04 | 2023-08-29T07:41:58 | null | NONE | null | Message Error:
<_InactiveRpcError of RPC that terminated with:
status = StatusCode.INTERNAL
details = "Internal error encountered."
debug_error_string = "{"created":"@1671108949.152751032","description":"Error received from peer ipv4:142.250.125.95:443","file":"src/core/lib/surface/call.cc","file_line":966,"gr... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8578 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8578/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8578/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8578/events | https://github.com/kubeflow/pipelines/issues/8578 | 1,497,807,962 | I_kwDOB-71UM5ZRrxa | 8,578 | [bug] ValueError: Cannot use IfPresentPlaceholder within ConcatPlaceholde | {
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"@divjyotsinghanzx, `google-cloud-pipeline-components` is not yet compatible with `kfp==2.x.x` yet. This will work as expected once `google-cloud-pipeline-components` supports KFP v2.\r\n\r\ncc @chongyouquan "
] | 2022-12-15T05:20:20 | 2022-12-15T23:52:27 | 2022-12-15T23:52:27 | NONE | null | ### Environment
<!-- Please fill in those that seem relevant. -->
* How do you deploy Kubeflow Pipelines (KFP)? : Creating Vertex AI pipeline, however the bug is while importing `google_cloud_pipeline_components`
* KFP version: `2.0.0b8`
### Steps to reproduce
Executing the following:
`from google_cl... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8570 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8570/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8570/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8570/events | https://github.com/kubeflow/pipelines/issues/8570 | 1,494,680,592 | I_kwDOB-71UM5ZFwQQ | 8,570 | [bug] KFP V2 does not support Volumes | {
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"Thanks, @StefanoFioravanzo. This is on our roadmap for before June 2023.\r\n\r\nWhile volumes are a general concept/feature, the implementation is typically platform-specific. For example, you'd configure a volume on Kubernetes differently than you would on GCP. KFP v2, however, compiles pipelines to a platform-ag... | 2022-12-13T16:47:07 | 2023-07-05T17:37:25 | 2023-07-05T17:07:47 | MEMBER | null | ### TL;DR
Kubeflow Pipelines V2 does not support V1 `VolumeOp` and `PipelineVolume` to manipulate volume objects during the run and mount them on pipeline steps.
Kubeflow Pipelines V2 doesn't seem to have a roadmap commitment to support volumes before GA in June 2023.
### Context
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"NOTE: I deployed Kubeflow v1.6.0 and this problem did not appear. The problem appears to be a regression due to the updated version (in v.1.6.1) of the image used in CacheServer deployment.",
"Any update on this bug? Is the tls.crt the file that that cache-server is looking for?",
"I was affected by this as ... | 2022-12-12T17:33:32 | 2023-08-29T07:41:59 | 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 was deployed via Manifests with Kubeflow v1.6.1 onto K8S 1.24.8 on baremetal with Ubuntu 22.04 host OS.
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https://api.github.com/repos/kubeflow/pipelines/issues/8564 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8564/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8564/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8564/events | https://github.com/kubeflow/pipelines/issues/8564 | 1,490,891,419 | I_kwDOB-71UM5Y3TKb | 8,564 | [New feature] Can not use the output_loop_item as a display name for a task. | {
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"This is currently be design, `set_display_name` doesn't support runtime value an this moment.",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions."
] | 2022-12-12T04:05:52 | 2023-08-29T07:42:01 | null | NONE | null | ### Environment
* KFP version:
kfp==1.8.16
* KFP SDK version:
kfp 1.8.16
kfp-pipeline-spec 0.1.16
kfp-server-api 1.8.5
### Steps to reproduce
```
def pipeline(countries, start, end, model_types):
get_countriest_task = get_countriest_op(countries=c... | {
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"Hi, @suned. https://github.com/kubeflow/pipelines/pull/8572 should resolve this issue, I believe."
] | 2022-12-09T11:55:22 | 2023-03-21T17:48:33 | 2023-03-21T17:48:32 | CONTRIBUTOR | null | ### Environment
* KFP version: 2.0.0b8
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP SDK version: 2.0.0b8
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https://api.github.com/repos/kubeflow/pipelines/issues/8555 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8555/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8555/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8555/events | https://github.com/kubeflow/pipelines/issues/8555 | 1,485,860,530 | I_kwDOB-71UM5YkG6y | 8,555 | [Bazel support] <Will support bazel build for Kubeflow> | {
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"Thanks, @xushaoxiao. We've supported bazel in the past, but it slowed down development velocity and required extra effort to maintain. This is not something we are looking to support at this time.\r\n\r\nHere is a bit of context: https://github.com/kubeflow/pipelines/issues/3250\r\n\r\ncc @chensun "
] | 2022-12-09T03:00:13 | 2022-12-15T23:58:27 | 2022-12-15T23:58:26 | NONE | null | ### Bazel build is good
Whether to consider supporting bazel build ?
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https://api.github.com/repos/kubeflow/pipelines/issues/8554 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8554/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8554/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8554/events | https://github.com/kubeflow/pipelines/issues/8554 | 1,485,641,884 | I_kwDOB-71UM5YjRic | 8,554 | Behavior of set_retry() - component marked as failed, pipeline marked as success | {
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"@hydeta, just to confirm: are you running this on the Kubeflow Pipelines open source BE? If so, which version (both KFP SDK and KFP BE versions)?\r\n\r\ncc @gkcalat ",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank... | 2022-12-09T00:15:51 | 2023-08-29T07:42:03 | null | NONE | null | Hello,
I am using the method `set_retry()` and occasionally I am seeing instances where the component is marked as a failure but the pipeline will still be marked as a success. How does this occur? Is it the case where if the component fails but succeeds on subsequent tries then the component will still be marked ... | {
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] | 2022-12-08T23:53:35 | 2022-12-09T03:51:11 | 2022-12-09T03:51:11 | COLLABORATOR | null | We noticed on some KFP cluster listing run failed consistently with 524 timeout error.
Looking at the pod logs, metadata-writer and persistence-agent are in crash loop with error failed to connect to mysql.
Checking mysql pod logs, it's flooded with
> `disk is full writing './binlog.~rec~'`
Did some research, l... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8546 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8546/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8546/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8546/events | https://github.com/kubeflow/pipelines/issues/8546 | 1,483,062,768 | I_kwDOB-71UM5YZb3w | 8,546 | [backend] <Wrong Parameter loading for google_cloud_pipeline_components.aiplatform.TabularDatasetCreateOp in v1.0.29> | {
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] | 2022-12-07T23:10:01 | 2023-08-29T07:42:05 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
We use the Vertex AI managed notebook to create KFP and call the "google_cloud_pipeline_components.aiplatform.TabularDatasetCreateOp" component to create a Vertex AI dataset.
* KFP version:
V2
* KFP SDK version:
google-cloud-pipeline-compon... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8527 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8527/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8527/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8527/events | https://github.com/kubeflow/pipelines/issues/8527 | 1,477,298,221 | I_kwDOB-71UM5YDcgt | 8,527 | [feature] Documentation around specifying pod configuration for components (e.g. volume mounts/pod affinity etc) in v2 | {
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"Hi, @elibixby. Please see a description of plans to support this in KFP SDK v2 here: https://github.com/kubeflow/pipelines/issues/8570#issuecomment-1349057570",
"Do I read this correctly that the plan is to be platform agnostic even outside of Kubernetes? I'm really skeptical that ... | 2022-12-05T19:42:27 | 2023-08-29T07:42:07 | null | NONE | null | ### Feature Area
/area samples
### What feature would you like to see?
It's unclear from documentation to what extent you should be able to configure the pod that run a given task in v2. In v1 the [BaseOp](https://github.com/kubeflow/pipelines/blob/1.8.16/sdk/python/kfp/dsl/_container_op.py#L810) class seems t... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8524 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8524/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8524/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8524/events | https://github.com/kubeflow/pipelines/issues/8524 | 1,474,265,308 | I_kwDOB-71UM5X34Dc | 8,524 | [feature] Support different ServiceAccounts for each component (least privilege) | {
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"Hello @agilgur5 , thank you so much for bringing this up and offering to contribution. If you can write a design doc about how you plan to implement the per-component service account feature, and get it reviewed by Pipelines Working Group (Join the Pipelines Community Meeting), we can review and approve it for ena... | 2022-12-03T22:53:24 | 2023-07-06T00:12:31 | 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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"/assign @connor-mccarthy ",
"@wardVD, thanks for your question. Can you let me know which version of the KFP SDK you're using? If it's `kfp==1.x.x` or `kfp<2.0.0b5` this is expected.\r\n\r\nFor `kfp>=2.0.0b5`, the `VertexModel` symbol will be defined, but the GCPC library is not yet compatible with KFP v2 (this ... | 2022-11-30T17:15:38 | 2023-08-30T07:41:50 | null | NONE | null | ### Feature Area
I wanted to create a custom component from a python function that creates a VertexModel artifact when running with Vertex Pipelines.
I thought it could be as simple as something like this (dummy code):
```
from google_cloud_pipeline_components.types.artifact_types import VertexModel
@compo... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8502 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8502/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8502/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8502/events | https://github.com/kubeflow/pipelines/issues/8502 | 1,467,179,111 | I_kwDOB-71UM5Xc2Bn | 8,502 | [feature] S3 Integration for Artifact Storage (IRSA) | {
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"Hi @zijianjoy @jlyaoyuli Can you please ~~tag Jo Li/people from frontend side to~~ review this proposal\r\n\r\ncc @chensun, @james-jwu",
"@jlyaoyuli ",
"Hi @gkcalat, I believe @ryansteakley is interested to contribute this functionality. Shall we go ahead with the PR?\r\n@jlyaoyuli let us know if you have any ... | 2022-11-28T22:27:53 | 2023-03-10T18:23:29 | 2023-03-10T18:23:29 | CONTRIBUTOR | null | ## S3 Integration for Artifact Storage (IRSA)
As of Kubeflow pipelines 2.0-alpha6 release, using IRSA for artifact storage in S3 is not fully supported(details later in the doc). There has been a long-running thread with high-interest for this functionality in the[ kubeflow pipelines github](https://github.com/kubeflo... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8500 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8500/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8500/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8500/events | https://github.com/kubeflow/pipelines/issues/8500 | 1,466,545,203 | I_kwDOB-71UM5XabQz | 8,500 | [bug] Issue with ImageDatasetCreateOp | {
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"Currently Google Cloud Pipeline Component hasn't been migrated to KFP SDK V2, so it is a work-in-progress.\r\n\r\n/cc @connor-mccarthy \r\n\r\n"
] | 2022-11-28T14:37:40 | 2022-12-15T07:56:42 | 2022-12-08T23:52:40 | NONE | null | ### Environment
* KFP SDK version:
2.0.0b4
### Steps to reproduce
Run https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/pipelines/google_cloud_pipeline_components_automl_images.ipynb
No issues on `kfp==1.8.13`
Issue:
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https://api.github.com/repos/kubeflow/pipelines/issues/8499 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8499/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8499/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8499/events | https://github.com/kubeflow/pipelines/issues/8499 | 1,464,518,232 | I_kwDOB-71UM5XSsZY | 8,499 | [feature] Filter splits not possible for AutoMLTrainingJobOp | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions."
] | 2022-11-25T13:01:21 | 2023-08-30T07:41:52 | null | NONE | null | ### Feature Area
I noticed that the `component.yaml` file for AutoMLTrainingJobOp mentions data filters in the description, but the parameters for filter splits are not yet present:
https://github.com/kubeflow/pipelines/blob/master/components/google-cloud/google_cloud_pipeline_components/aiplatform/automl_trainin... | {
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"The Containerized Python Components approach is what you're looking for: https://www.kubeflow.org/docs/components/pipelines/v2/author-a-pipeline/components/#2-containerized-python-components.\r\n\r\nPlease feel free to re-open this you have any other questions."
] | 2022-11-25T10:43:58 | 2022-12-02T00:06:04 | 2022-12-02T00:06:03 | NONE | null | I defined a pipeline component in com.py like this:
@component(base_image="my-image")
def com1():
a = 1
def func1(aa):
pass
def func2():
pass
x = func1(a)
y = func2()
return com1
I want to move a, func1 and func2 outside from com1, because the com1 is too long, To... | {
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@component(base_image="my-image")
def com1():
a = 1
def func1(aa):
pass
def func2():
pass
x = func1(a)
y = func2()
return com1
I want to move a, func1 and func2 outside from com1, because the com1 is too... | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions."
] | 2022-11-24T10:33:46 | 2023-08-30T07:41:54 | null | NONE | null | ### Environment
google-cloud-pipeline-components = "1.0.26"
gcr.io/ml-pipeline/google-cloud-pipeline-components:1.0.26
* How do you deploy Kubeflow Pipelines (KFP)?
Running on Vertex AI Pipelines
* https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP version:
n/a
* KFP SDK version... | {
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"Hi @sradc. Thanks for suggesting this. We definitely want to enable expression of more complex topologies like the ones you show.\r\n\r\nRight now we're working on three separate designs/implementations related to this feature request:\r\n- Support for lists of artifacts\r\n- Support for fan-in from `dsl.ParallelF... | 2022-11-22T22:39:20 | 2023-02-10T16:02:56 | 2023-02-10T12:12:30 | NONE | null | ### Feature Area
/area sdk
### What feature would you like to see?
The ability to pass in a list/tuple of `component.output` as an arg to a component. E.g. so that examples like the following work:
```python
from kfp.v2 import compiler, dsl
@dsl.component
def my_transformer_op(item: str) -> str:
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"Hi @doctapp,\r\nCan you share what client are you using and how you submitted the job?",
"Hi @gkcalat,\r\nusing Python 3.10.6, google_cloud_aiplatform 1.18.3 and kfp 1.8.16.\r\n\r\nAs for how the image is set:\r\n```\r\n@dsl.component\r\ndef some_func(...): ...\r\n...\r\nsome_fun.component_spec.implementation.co... | 2022-11-22T21:34:00 | 2022-12-16T14:32:24 | 2022-12-15T23:39:45 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)? Google Vertex AI
* KFP version: 1.8.6 (Python 3.10.6)
### Steps to reproduce
Use image reference containing both tag and digest, e.g., `gcr.io/some-project-id/some-product:0.0.1@sha256:0123456789abcedf0123456789abcedf0123456789abcedf0123456789ab... | {
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"#8864 "
] | 2022-11-18T20:23:15 | 2023-05-18T00:01:17 | 2023-05-18T00:00:34 | COLLABORATOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
KFP standalone
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP version:
Self built based on #8480
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https://api.github.com/repos/kubeflow/pipelines/issues/8460 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8460/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8460/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8460/events | https://github.com/kubeflow/pipelines/issues/8460 | 1,450,779,480 | I_kwDOB-71UM5WeSNY | 8,460 | [pipelines]why user can see all pipelines from other member | {
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"Hi @hellobiek , namespace for pipeline is working in progress. \r\nhttps://github.com/kubeflow/pipelines/issues/4197",
"@jlyaoyuli thank you. ",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contri... | 2022-11-16T03:32:27 | 2023-08-30T07:41:55 | null | NONE | null | kubeflow 1.5
kfp 1.8.12
why user can see all pipelines from other member? | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8459 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8459/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8459/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8459/events | https://github.com/kubeflow/pipelines/issues/8459 | 1,450,779,375 | I_kwDOB-71UM5WeSLv | 8,459 | [sdk] Unable to use api/v2alpha1/pipeline_spec.proto with bazel and py_proto_library() intact | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions."
] | 2022-11-16T03:32:20 | 2023-08-30T07:41:57 | null | NONE | null | ### Environment
* KFP version: 1.8.13
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* All dependencies version:
* kfp==1.8.13
* kfp-pipeline-spec==0.1.16
* kfp-server-api==1.8.4
<!-- Specify the output of the ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8451 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8451/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8451/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8451/events | https://github.com/kubeflow/pipelines/issues/8451 | 1,449,261,523 | I_kwDOB-71UM5WYfnT | 8,451 | kfp component can not access gpu (on premise) | {
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"Hello @TranThanh96 , \r\nHere is the instruction of enabling GPU: https://www.kubeflow.org/docs/distributions/gke/pipelines/enable-gpu-and-tpu/\r\nMaybe you were missing `gpu_op.add_node_selector_constraint()`"
] | 2022-11-15T06:52:26 | 2022-12-01T23:53:54 | 2022-12-01T23:53:54 | NONE | null | ### Environment
ubuntu 20-04
cluster k3s: 1 node gpu: https://www.kubeflow.org/docs/components/pipelines/v1/installation/localcluster-deployment/#1-setting-up-a-cluster-on-k3s
deployed gpu-operator
### Steps to reproduce
this is code check:
```
import kfp
from kfp import dsl
def gpu_smoking_check_op():... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8450 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8450/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8450/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8450/events | https://github.com/kubeflow/pipelines/issues/8450 | 1,449,167,659 | I_kwDOB-71UM5WYIsr | 8,450 | [sdk] latest releases of sdk are marked as "pre-release" on PyPI | {
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"This is by design. KFP v2 is currently in progress, and we're not ready to claim GA yet. \r\nThe 2.0 alpha version of KFP included in Kubeflow 1.6 fully supports KFP v1 feature with the addition of v2 feature in alpha phase. Users can continue using KFP SDK 1.8.* with Kubeflow 1.6 for v1 features. Alternatively, t... | 2022-11-15T04:58:53 | 2022-11-21T23:52:39 | 2022-11-21T23:52:32 | MEMBER | null | Currently, the latest version of the KFP SDK (`2.0.0b6`) is [marked as a "pre-release" on PyPI](https://pypi.org/project/kfp/#history).
This is problematic for 2 main reasons:
1. If a user runs `pip install kfp` they will get `1.8.14`, which will not include 2.0.0 features
1. Kubeflow 1.6 [includes Kubeflow Pipe... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8449 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8449/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8449/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8449/events | https://github.com/kubeflow/pipelines/issues/8449 | 1,449,118,162 | I_kwDOB-71UM5WX8nS | 8,449 | [frontend] v2 ui doesn't show error cause | {
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"Hi @stobias123 , thank you for reaching out. Currently KFP v2 is in the alpha phase, and the fix is what we are currently working on.",
"Hello @stobias123, we are happy to share that the logs feature is already included in our latest release (https://github.com/kubeflow/pipelines/releases/tag/2.0.0-rc.1). Please... | 2022-11-15T03:51:47 | 2023-05-24T17:21:01 | 2023-05-24T17:21:01 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
* AWS Manifests.
https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP version:
gcr.io/ml-pipeline/frontend:2.0.0-alpha.5
To find the version number, See version number shows on bottom of KFP UI left sidenav. -->
### Step... | {
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"TL;DR: This should have been resolved now. \r\n\r\nLast week, we updated these two images, which we shouldn't have referenced via `latest` from the beginning:\r\nhttps://github.com/kubeflow/pipelines/blob/6b3b4df3d2a0dae0d10195e3d2fea76ed478af0c/backend/src/v2/compiler/argocompiler/argo.go#L110-L111\r\nThe change ... | 2022-11-13T21:34:40 | 2023-03-28T17:24:58 | 2022-11-14T20:42:51 | NONE | null | `###` Environment
kfp v2 SDK
kfp version 2.0.0b6
kfp-pipeline-spec version 0.1.16
kfp-server-api version 2.0.0a6
### Steps to reproduce
We are trying to run a simple example from the [docs](https://www.kubeflow.org/docs/components/pipelines/v1/sdk-v2/python-functi... | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions."
] | 2022-11-12T16:31:48 | 2023-08-30T07:41:58 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
KFP is deployed on EKS cluster (1.22) with S3+RDS using following procedure:
https://github.com/kubeflow/pipelines/tree/master/manifests/kustomize/env/aws
* KFP version:
1.8.5
### Steps to reproduce
After upgrading KFP from 1.7.1 to 1.8.5 upgr... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8436 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8436/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8436/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8436/events | https://github.com/kubeflow/pipelines/issues/8436 | 1,440,967,563 | I_kwDOB-71UM5V42uL | 8,436 | Publish conformance test guidelines to the KF community | {
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"Will continue driving KF conformance through a project in KF repo: https://github.com/orgs/kubeflow/projects/52"
] | 2022-11-08T22:01:25 | 2022-11-08T22:06:20 | 2022-11-08T22:05:59 | CONTRIBUTOR | null | null | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8435 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8435/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8435/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8435/events | https://github.com/kubeflow/pipelines/issues/8435 | 1,440,965,753 | I_kwDOB-71UM5V42R5 | 8,435 | KFP conformance test design | {
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"Design doc: https://docs.google.com/document/d/1_til1HkVBFQ1wCgyUpWuMlKRYI4zP1YPmNxr75mzcps/edit"
] | 2022-11-08T21:59:53 | 2022-11-08T22:01:01 | 2022-11-08T22:01:01 | CONTRIBUTOR | null | null | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8429 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8429/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8429/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8429/events | https://github.com/kubeflow/pipelines/issues/8429 | 1,438,319,937 | I_kwDOB-71UM5VuwVB | 8,429 | Need to replace Minlo with s3 as an alternative for artifact storage in kubeflow | {
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"Hi @SoujanyaSan, thank you for bringing up the request. We have a similar feature request here #7878. Please see updates in this request."
] | 2022-11-07T12:55:00 | 2022-11-10T23:54:37 | 2022-11-10T23:54:37 | 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?
Need to have pipeline manifests,metrics and logs of each pipeline no... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8427 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8427/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8427/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8427/events | https://github.com/kubeflow/pipelines/issues/8427 | 1,437,252,717 | I_kwDOB-71UM5Vqrxt | 8,427 | [Question] How to save GPU costs in kubeflow pipelines? | {
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"Hi @r-matsuzaka, thank you for your question! We offer component level support for node selection. See reference here: https://kubeflow-pipelines.readthedocs.io/en/latest/source/kfp.dsl.html#kfp.dsl.BaseOp.add_node_selector_constraint\r\nPlease let us know if you have any more questions."
] | 2022-11-06T01:40:52 | 2022-11-10T23:47:43 | 2022-11-10T23:47:42 | NONE | null | Excuse me, is it possible to run each step on different node?
For example, in this case `cifar-preproc` runs on CPU node but `cifar-train` runs on GPU node.
To save costs, I want to use GPUs only when they are needed to save costs.
![image](https://user-images.githubusercontent.com/76238346/200150043-1d812f97-... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8424 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8424/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8424/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8424/events | https://github.com/kubeflow/pipelines/issues/8424 | 1,436,779,088 | I_kwDOB-71UM5Vo4JQ | 8,424 | [bug] Kubeflow pipeline doesn't pick-up metrics from file /mlpipeline-metrics.json | {
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"Hi @crbl1122, the correct name for the metrics file should be `mlpipeline-ui-metadata.json`. See reference here: https://www.kubeflow.org/docs/components/pipelines/v1/sdk/output-viewer/#v1-sdk-writing-out-metadata-for-the-output-viewers\r\nPlease let us know if you have any questions. Also, if you upgrade to kfp v... | 2022-11-05T02:35:14 | 2022-11-11T12:41:02 | 2022-11-10T23:50:32 | 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:
<!-- Specify the version of Kubeflow Pipel... | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions."
] | 2022-11-03T17:39:38 | 2023-08-31T07:42:19 | null | NONE | null | ### Environment
Windows 10 with python 3.9 running in a venv
* KFP SDK version: 1.8.14
* All dependencies version:
kfp 1.8.14
kfp-pipeline-spec 0.1.16
kfp-server-api 1.8.5
Hello there,
Im having some problems regarding the building of python-based comp... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8418 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8418/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8418/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8418/events | https://github.com/kubeflow/pipelines/issues/8418 | 1,434,958,638 | I_kwDOB-71UM5Vh7su | 8,418 | [bug] <Component container doesn't start> | {
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"Hi @crbl1122, can you please share how you define the component YAML? Is `/src/components/program.py` coming from the YAML definition?",
"Hi @chensun I realize that I overlooked the discrepance in path definition with the YAML files. Was in error thinking that the reference to 'program.py' is made in Dockerfile ... | 2022-11-03T16:36:34 | 2022-11-04T04:43:26 | 2022-11-04T04:42:28 | NONE | null | ### Environment
<!-- Please fill in those that seem relevant.
I am testing a yaml specified component in a GCP Kubeflow pipeline. The problem is that the component container doesn't start because is searching the "program.py" test module on a different path than the one specified in Dockerfile as working directory... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8417 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8417/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8417/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8417/events | https://github.com/kubeflow/pipelines/issues/8417 | 1,434,942,596 | I_kwDOB-71UM5Vh3yE | 8,417 | [bug] <Kubeflow Component container doesn't start > | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8413 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8413/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8413/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8413/events | https://github.com/kubeflow/pipelines/issues/8413 | 1,433,442,497 | I_kwDOB-71UM5VcJjB | 8,413 | [bug] Compiling a component raises AttributeError: 'NoneType' object has no attribute '_set_metadata' | {
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"solved installing V2 through `pip install kfp --pre`"
] | 2022-11-02T16:28:04 | 2022-11-03T14:39:28 | 2022-11-03T14:39:28 | NONE | null | Following the official documentation on Kubeflow V2 (link below), I'm trying to compile a simple component which just prints a string, but it raises an `AttributeError` which I don't understand. What's going on?
### Environment
Windows 11
Python 3.10.1
kfp 1.8.14
kfp-pipeline-spec 0.1.16
kfp-server-api 1.8.5
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https://api.github.com/repos/kubeflow/pipelines/issues/8411 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8411/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8411/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8411/events | https://github.com/kubeflow/pipelines/issues/8411 | 1,431,932,301 | I_kwDOB-71UM5VWY2N | 8,411 | Pipelines WG Roadmap for KF 1.7 | {
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"cc @jbottum @chensun @james-jwu ",
"/Priority P1",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions."
] | 2022-11-01T19:00:34 | 2023-08-31T07:42:21 | null | COLLABORATOR | null | This is for tracking the progress for KFP deliverables in Kubeflow 1.7:
- [ ] Enter KFP v2 beta phase
- [ ] Introduce KFP APIv2 package which is a new standard for communicating with KFP server.
- [ ] Complete Sub-DAG visualization on KFPv2 UI.
- [ ] [KFPv2 Documentation](https://www.kubeflow.org/docs/comp... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8408 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8408/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8408/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8408/events | https://github.com/kubeflow/pipelines/issues/8408 | 1,431,708,642 | I_kwDOB-71UM5VViPi | 8,408 | [backend] ML Metadata writer errors with - Received message larger than max | {
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"Hi @Sharathmk99, I'm not sure if it's a good idea to allow configure the limit, there likely will be other system limitation, for example, at DB storage layer. \r\nCan you help explain a bit your use case, why did you get such large content for artifacts?",
"@chensun I was not facing this issue initially, but st... | 2022-11-01T16:19:50 | 2023-08-31T07:42:23 | null | NONE | null | ### Environment
ML Metadata writes errors with below exception. Looks like we need to change default `max_receive_message_length` from 4194304 to bigger number.
Error:
```
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/ml_metadata/metadata_store/metadata_store.py", line 199, ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8406 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8406/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8406/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8406/events | https://github.com/kubeflow/pipelines/issues/8406 | 1,431,618,888 | I_kwDOB-71UM5VVMVI | 8,406 | [feature] Improved User Isolation in Kubeflow Pipelines | {
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"/priority p1",
"I think the there are three main tasks. \r\nFrom here https://github.com/kubeflow/kubeflow/issues/6662 the listed main problems are \r\n\r\n1. \"The pipeline UI allows reading other peoples artifacts. The artifact proxy in the user namespace is insecure and obsolete. In the UI you can just get th... | 2022-11-01T15:25:55 | 2023-07-20T09:23:02 | 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?
Authenticated and Authorized Users should be isolated by namespaces and should not have... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8399 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8399/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8399/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8399/events | https://github.com/kubeflow/pipelines/issues/8399 | 1,428,577,321 | I_kwDOB-71UM5VJlwp | 8,399 | [sdk] Cannot put metrics | {
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"Hi @r-matsuzaka, sorry about the confusion, but KFP SDK 1.6.3 is not to be paired with KF manifest 1.6. To try out the v2 features, can you upgrade to KFP SDK 2.0.0b6? Thanks!",
"@chensun \r\nHi. Thank you for your answer.\r\nExcuse me but I set up kubeflow by running the following and choose the Docker image fr... | 2022-10-30T03:26:21 | 2022-11-05T07:45:16 | 2022-11-03T22:42:16 | NONE | null | ### Environment
* Ubuntu 20.04.5 LTS
* kubernetes
```
$ kubectl version --short
Client Version: v1.21.14
Server Version: v1.21.14
$ minikube version
minikube version: v1.27.1
$ kustomize version --short
3.2.0
```
* kubeflow/manifests
v1.6-branch
* KFP version:
```
$ pip list | grep kfp
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https://api.github.com/repos/kubeflow/pipelines/issues/8396 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8396/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8396/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8396/events | https://github.com/kubeflow/pipelines/issues/8396 | 1,426,627,478 | I_kwDOB-71UM5VCJuW | 8,396 | [bug] component pull image from docker local registry | {
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"Hi @TranThanh96, I think pulling from local docker registry is out of scope for KFP, but a generic K8s issue. Maybe you can search for k8s tutorials on if this is possible and how to configure it."
] | 2022-10-28T03:58:08 | 2022-11-03T22:44:38 | 2022-11-03T22:44:38 | NONE | null | I am using kubeflow deploy on k3AI.
I have a local docker registry on ip: 1.2.3.4
then I create a component and push into 1.2.3.4/hello-world:v0.0.1
I have a pipeline that uses the component above:
```
name: hello world
description: hello world
metadata:
annotations:
author: ThanhTM
inputs:
- {name... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8394 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8394/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8394/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8394/events | https://github.com/kubeflow/pipelines/issues/8394 | 1,426,120,402 | I_kwDOB-71UM5VAN7S | 8,394 | [feature] Automatically pass pod outputs via file system to avoid size limitation | {
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"@amrobbins, can you check to see if you have the same issue in KFP v2? If so, can you please send a reproducible example?",
"Yes, I'll be migrating over to kubeflow 2 and I'll provide an updates. Thanks.",
"This issue has been automatically marked as stale because it has not had recent activity. It will be clo... | 2022-10-27T18:46:45 | 2023-09-01T07:42:13 | null | NONE | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
/area backend
<!-- /area sdk -->
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
I would like kubeflow to pass op output via a file transparently to ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8391 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8391/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8391/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8391/events | https://github.com/kubeflow/pipelines/issues/8391 | 1,424,390,177 | I_kwDOB-71UM5U5ngh | 8,391 | [frontend] When execution graph gets too big, it is not displayed instead there is a spinning progress indicator that is displayed forever | {
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"@amrobbins, I suggest using KFP v2. Parallel for loops are represented as subDAGs in v2, which enables the UI to handle them layer-by-layer."
] | 2022-10-26T17:02:52 | 2022-10-27T22:47:12 | 2022-10-27T22:47:11 | 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/. -->
I followed the instructs here: https://www.kubeflow.org/docs/distributions/gke/deploy/overview/
* KFP version... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8388 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8388/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8388/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8388/events | https://github.com/kubeflow/pipelines/issues/8388 | 1,422,580,898 | I_kwDOB-71UM5Uytyi | 8,388 | Manage Jobs UI does not allow deletion of jobs with empty names | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions."
] | 2022-10-25T14:40:49 | 2023-09-02T07:42:21 | null | NONE | null | ### Environment
<!-- Please fill in those that seem relevant. -->
* How do you deploy Kubeflow Pipelines (KFP)?
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP version: [1.0.4](https://www.github.com/kubeflow/pip... | {
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"@tobiasimbus thank you for your contribution!\r\nWe will keep this in backlog until the next release."
] | 2022-10-25T07:29:32 | 2023-05-04T22:57:08 | null | NONE | null | ### Environment
KFP version:1.8.5
Critical OS CVEs reported by the anchore scanning service: CVE-2022-37434
### Steps to reproduce
`sudo docker run anchore/grype gcr.io/ml-pipeline/frontend:1.8.5 --only-fixed | grep Critical`
### Materials and reference
![image](https://user-images.githubusercontent.com... | {
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"Hi @connor-mccarthy I am trying to follow the docs and I ended up with the same error as #8353 how can I help to close this issue?",
"I can reproduce it with even one just module:\r\n\r\nworking directory:\r\n\r\n```bash\r\n├── main.py\r\n├── poetry.lock\r\n├── poetry.toml\r\n├── pyproject.toml\r\n└── utils.py\r... | 2022-10-21T19:14:59 | 2023-08-16T12:33:02 | null | MEMBER | null | There is a bug when building a containerized Python component that happens (at least) in the case when the longest path of the import graph ending at the component involves >2 modules.
### Environment
KFP SDK 2.0.0-beta.6
### Steps to reproduce
For example:
```python
# component.py
from module_one import ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8382 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8382/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8382/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8382/events | https://github.com/kubeflow/pipelines/issues/8382 | 1,418,197,168 | I_kwDOB-71UM5Uh_iw | 8,382 | [feature] Allow users to skip `docker build` in `kfp components build` | {
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"The feature request makes sense to me. In terms of implementation, have you considered adding support for different engines? https://github.com/kubeflow/pipelines/blob/1f5d8ff39759d1b305807939a90f3f58f4befb78/sdk/python/kfp/deprecated/cli/components.py#L72-L76",
"Hi Chen! Thanks for your quick response!\r\n\r\n... | 2022-10-21T11:31:54 | 2022-10-31T10:18:35 | 2022-10-26T15:58:36 | NONE | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
<!-- /area backend -->
/area sdk
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
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https://api.github.com/repos/kubeflow/pipelines/issues/8381 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8381/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8381/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8381/events | https://github.com/kubeflow/pipelines/issues/8381 | 1,415,375,551 | I_kwDOB-71UM5UXOq_ | 8,381 | [bug] GKE preemption inconsistently treated as WorkflowNodeError and WorkflowNodeFailed | {
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"Hello @pjo256 , looks like it is an Argo question, can you create the issue in their repository and link it here? Thank you so much!",
"Created https://github.com/argoproj/argo-workflows/issues/9880"
] | 2022-10-19T17:55:11 | 2022-10-21T15:19:10 | null | NONE | null | Hello! Unsure if this should be filed with Argo, but we're seeing some inconsistency with error-handling for preemptions. For some context, we run a large number of jobs with preemptible node pools in GKE. We typically don't want to retry application failures, but we always want to retry preemptions. We added a retry p... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8380 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8380/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8380/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8380/events | https://github.com/kubeflow/pipelines/issues/8380 | 1,415,228,996 | I_kwDOB-71UM5UWq5E | 8,380 | [feature] Add i18n Support | {
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"Please bring i18n support to Kubeflow community (For example: https://github.com/kubeflow/kubeflow/issues/6665).\r\n\r\nMy feedback is that it will bring difficulty to maintain the i18n up-to-date in long term. Therefore I suggest making i18n an extension than contributing to the main repos."
] | 2022-10-19T15:55:19 | 2022-10-20T22:51:18 | null | NONE | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
/area frontend
### What feature would you like to see?
<!-- Provide a description of this feature and the user experience. -->
Include i18n support for Kubeflow Pipelines to allow multilingual support.
### What is ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8379 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8379/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8379/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8379/events | https://github.com/kubeflow/pipelines/issues/8379 | 1,414,360,940 | I_kwDOB-71UM5UTW9s | 8,379 | Please provide information on how to generate or get API_Keys to us the pipeline endpoints in the documentation | {
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"Hello @JV-DHL , what do you mean by API_KEY and why do you need it? Closing this issue for now since I don't think it is related to KFP at the moment based on current information.",
"I need the API_KEY to use the endpoints like run a pipeline , archive an experiment , get run details etc. Which can be done using... | 2022-10-19T06:15:46 | 2022-10-21T04:47:17 | 2022-10-20T22:44:55 | NONE | null | I request you to please provide information on how to generate the API_KEY to use the kubeflow pipelines endpoints in the documentation | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8374 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8374/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8374/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8374/events | https://github.com/kubeflow/pipelines/issues/8374 | 1,412,247,849 | I_kwDOB-71UM5ULTEp | 8,374 | [feature] Support graph sharding to limit the size of each shard | {
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"Hello @amrobbins , I think your request is very similar to `ParallelFor` functionality, and you can define pipeline run inside a pipeline run in KFPv2. Closing this issue now and feel free to reopen it if it doesn't fulfill your requirement.\r\n\r\nReferences:\r\n1. Docs on ParallelFor: https://www.kubeflow.org/do... | 2022-10-17T21:25:50 | 2023-02-19T18:49:36 | 2022-10-20T22:42:32 | 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?
Responded to all of these below.
### What is the use case or pain poin... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8370 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8370/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8370/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8370/events | https://github.com/kubeflow/pipelines/issues/8370 | 1,409,784,569 | I_kwDOB-71UM5UB5r5 | 8,370 | [sdk] Protobuf 4 Support | {
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"/assign @connor-mccarthy ",
"Any progress on this? New packages are starting to depend on protobuf 4, making dependency resolution impossible.",
"We plan to release at least one version of `kfp==2.x.x` that depends on protobuf 3 before bumping to depend on protobuf 4.",
"Any ETA here?",
"bumping this up, a... | 2022-10-14T19:49:47 | 2023-09-06T06:39:21 | null | NONE | null | ### Environment
The latest `kfp` version pins `protobuf < 4.0`:
https://github.com/kubeflow/pipelines/blob/71c8e77d8a583c629e6f83dcd629fee8133f6d2a/sdk/python/requirements.in#L27
What would it take for `kfp` to support `protobuf==4.23`? It looks like Python's protobuf package went from `3.20 -> 4.21` and othe... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8366 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8366/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8366/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8366/events | https://github.com/kubeflow/pipelines/issues/8366 | 1,409,705,068 | I_kwDOB-71UM5UBmRs | 8,366 | [backend] e2e test flakiness due to regression on v1 caching | {
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https://github.com/kubeflow/pipelines/blob/65ee01a436758e0f7ca4741e517452c02182ec03/samples/core/recursion/recursio... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8365 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8365/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8365/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8365/events | https://github.com/kubeflow/pipelines/issues/8365 | 1,409,691,584 | I_kwDOB-71UM5UBi_A | 8,365 | [feature] Add ability to select runs by job ID in multi-user mode when calling get runs api endpoint | {
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"How do you get the endpoiint for V2??",
"This request was based on the v1 api. I just started following the proposal for the v2 api and am curious about whether this feature will be included in v2. I know the proposal contains a plan to drop resource references, but will filtering by job id still be possible?"
] | 2022-10-14T18:11:11 | 2022-11-15T04:21:38 | null | CONTRIBUTOR | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
/area backend
<!-- /area sdk -->
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
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https://api.github.com/repos/kubeflow/pipelines/issues/8358 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8358/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8358/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8358/events | https://github.com/kubeflow/pipelines/issues/8358 | 1,407,527,664 | I_kwDOB-71UM5T5Srw | 8,358 | [sdk] Unable to retrieve runs / experiments / recurring jobs in pipeline component (500 error) | {
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"HI @Lejboelle!\r\nIt seems that you might have wrong client initialization. Please, follow [these instructions](https://www.kubeflow.org/docs/components/pipelines/v1/sdk/connect-api/).",
"I fixed the issue - it wasn't the client initialization since the defaults point to the correct host and credentials.\r\nI di... | 2022-10-13T10:11:55 | 2022-10-14T10:06:30 | 2022-10-14T10:06:29 | NONE | null | ### Environment
* KFP version:
2.0.0-alpha.5 (Kubeflow 1.6.1)
* KFP SDK version:
1.8.14
### Steps to reproduce
My main goal is to retrieve a job name or job id in a recurring run. I tried the PIPELINE_JOB_ID_PLACEHOLDER from the v2 dsl, but that didn't work. Then I tried creating a component that uses the ... | {
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"The metrics is not shown along side each run in the **Experiments** tab either:\r\n\r\n\r\n<img width=\"1440\" alt=\"Screen Shot 2022-10-12 at 3 33 16 PM\" src=\"https://user-images.githubusercontent.com/22306485/195460346-01cb5f5c-db9a-4395-9181-b0d66e96c825.png\">\r\n",
"This has been fixed in the recent patch... | 2022-10-12T22:08:23 | 2023-06-19T18:14:23 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
I installed it with the full kubeflow deployment. Kubeflow 1.6, installed with [juju](https://charmed-kubeflow.io/docs/install)
* KFP version: **build version dev_local** (this shows on bottom of KFP UI left sidenav)
### Steps to reproduce
Runn... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8355 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8355/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8355/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8355/events | https://github.com/kubeflow/pipelines/issues/8355 | 1,406,742,634 | I_kwDOB-71UM5T2TBq | 8,355 | [backend] Conflicting RetryRun and TTLStrategy in Argo | {
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"Hi @casassg ! Thank you for bringing this up.\r\nKFP v1 backend does not support retry op. This is on our roadmap in KFP v2, but it is not available yet.",
"@gkcalat note that RetryRun is part of KFP v1. Its an already existing feature, it just breaks under the above scenario"
] | 2022-10-12T20:04:56 | 2022-10-31T21:37:51 | null | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Kubeflow 1.4 on GKE. Custom Cluster
* KFP version:
1.7.0
* KFP SDK version:
1.8.11
### Steps to reproduce
- Rough code:
```python
import kfp
from kfp.components import create_component_from_func
@create_component_fro... | {
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"**Update**\r\n\r\nI upgraded to `kfp.__version__ = 2.0.0b5` and it fixe the error of \"ERROR: No such command 'component'.\" and it matches the KFP API SDK.\r\n\r\nI still see the behavior of `ERROR: No KFP components found in file ...` for any module in the folder that does not contain a component definition. I ... | 2022-10-12T14:46:48 | 2022-10-21T19:16:05 | 2022-10-13T21:04:04 | NONE | null | `kfp.__version__ = 1.8.14`
Trying the instructions at [2. Containerized Python components](https://www.kubeflow.org/docs/components/pipelines/v2/author-a-pipeline/components/#2-containerized-python-components):
- command `kfp component build ...` results in error: "Error: No such command 'component'."
- KFP A... | {
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* All dependencies version:
kfp 1.8.11
kfp-pipeline-spec 0.1.13
kfp-server-api 1.7.1
### Steps to reproduce
add the same name to dsl.Condition in sample code https://github.com/kubeflow/pipelines/blob/master/samples/tut... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8350 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8350/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8350/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8350/events | https://github.com/kubeflow/pipelines/issues/8350 | 1,404,994,998 | I_kwDOB-71UM5TvoW2 | 8,350 | Pipeline running on GKE, Is there any way to access GPU from local machine? | {
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"Hi @MLHafizur!\r\nCould you please clarify what means \"local machine\" and what purposes would GPU access serve?"
] | 2022-10-11T17:31:43 | 2022-10-13T22:48:14 | null | NONE | null | Pipeline running on GKE, Is there any way to access GPU from local machine? | {
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"I have this problem, too.",
"@TranThanh96 @Kokkini Please take a look at the workaround on this issue: https://github.com/awslabs/kubeflow-manifests/issues/117",
"> @TranThanh96 @Kokkini Please take a look at the workaround on this issue: [awslabs/kubeflow-manifests#117](https://github.com/awslabs/kubeflow-man... | 2022-10-11T09:52:49 | 2022-10-13T05:11:48 | 2022-10-13T05:11:48 | NONE | null | ### Environment
Kubeflow 1.6 on AWS
### Steps to reproduce
my code:
```
import argparse
import json
from pathlib import Path
from collections import namedtuple
def main(args):
metadata = {
'outputs' : [{
'type': 'web-app',
'storage': 'inline',
'source': '<h1>Hel... | {
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I deploy a kubeflow 1.5 system, and when I using "Recurring Runs" for my etl work in kubeflow.
and "Recurring Runs" runs in the following timezone "0 30 1 ? * 1-5"
I disabled a "Recurring Runs" 7 days ago. when I enabled the "Recurring Runs" today.
I suppose in the passed 7 days, the "Recu... | {
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This PR https://github.com/kubeflow/pipelines/issues/7984 fixes the launch_crd.py, but the component here:
https://github.com/kubeflow/pipelines/blob/master/components/kubeflow/launcher/component.yaml
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"node_id": "MDU6TGFiZWwxMjg5NTg4MTQw"... | open | false | null | [] | null | [] | 2022-10-06T20:20:53 | 2022-10-06T22:48:14 | null | NONE | null | This is not a bug _per se_, but falls into the category of improvements. The current setup of the [Rest API](https://github.com/kubeflow/pipelines/blob/master/backend/api/python_http_client/kfp_server_api/rest.py)'s RestClientObject has a method called `request` that does not return an error in the case of a connection... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8332 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8332/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8332/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8332/events | https://github.com/kubeflow/pipelines/issues/8332 | 1,398,070,538 | I_kwDOB-71UM5TVN0K | 8,332 | ml-pipeline unable to connect to mysql in kubefloq 1.6 | {
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"Hi @psheorangithub!\r\n\r\nCould you please clarify where and how did you deploy Kubeflow 1.6? I see some placeholders in the yaml manifests. Were they replaced before applying?",
"@psheorangithub Did you resolve the issue? it seems I have the same ",
"@gkcalat I have the same issue, when I change minio to use... | 2022-10-05T16:33:04 | 2023-02-04T00:54:54 | null | NONE | null | ### Environment
<!-- Please fill in those that seem relevant. -->
* How do you deploy Kubeflow Pipelines (KFP)?
Deployed pipelines as part of kubeflow 1.6
* KFP version:
2.0.0-alpha.3
To find the version number, See version number shows on bottom of KFP UI left sidenav. -->
* KFP SDK version:
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https://api.github.com/repos/kubeflow/pipelines/issues/8329 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8329/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8329/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8329/events | https://github.com/kubeflow/pipelines/issues/8329 | 1,394,868,430 | I_kwDOB-71UM5TJADO | 8,329 | [backend] Data downloaded in one pipeline step is inaccessible in the next step. | {
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"u... | closed | false | null | [] | null | [] | 2022-10-03T14:48:12 | 2022-10-05T09:00:07 | 2022-10-05T09:00:07 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)? **Full Kubeflow Deployement on OCI**
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP version: **1.6**
<!-- Specify the version of Kubeflow Pipelines ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8328 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8328/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8328/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8328/events | https://github.com/kubeflow/pipelines/issues/8328 | 1,394,529,001 | I_kwDOB-71UM5THtLp | 8,328 | [bug] Component doesn't receive some inputs if all of them come from the same output of another component | {
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"@vstrimaitis, can you please share the YAML that is generated?",
"The compiler doesn't allow me to generate a YAML file, but here's the JSON output for the very first example:\r\n\r\n```json\r\n{\r\n \"pipelineSpec\": {\r\n \"components\": {\r\n \"comp-read-data\": {\r\n \"executorLabel\": \"exec... | 2022-10-03T10:52:31 | 2022-10-11T10:57:51 | null | NONE | null | ### Environment
* How do you deploy Kubeflow Pipelines (KFP)? Vertex AI Pipelines on GCP
* KFP version: Don't know - whatever Vertex AI uses 😁
* KFP SDK version: `1.8.12`
### Steps to reproduce
Define the following pipeline:
```python
from kfp.v2 import dsl
from kfp.v2.dsl import Output, Artifact, ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8327 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8327/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8327/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8327/events | https://github.com/kubeflow/pipelines/issues/8327 | 1,393,732,872 | I_kwDOB-71UM5TEq0I | 8,327 | saving pickle file | {
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"@riyaj8888 Would you mind providing the code that get exception?"
] | 2022-10-02T11:29:28 | 2022-10-06T22:39:41 | null | NONE | null | Hi ,
I am trying to write pickle file of my trained sklearn model , but i am unable to do it.
I am defining output_pickle_file:OutputPath(str) for saving it but not able to save using this.
So i tried using BinaryFile but this tym i am able to save it but after saving ,tried to load it but i am getting following... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/8318 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/8318/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/8318/comments | https://api.github.com/repos/kubeflow/pipelines/issues/8318/events | https://github.com/kubeflow/pipelines/issues/8318 | 1,389,973,836 | I_kwDOB-71UM5S2VFM | 8,318 | [backend] Duplicate volumes are found when running on ACI | {
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"Hi @abishek-murali, thank you for reporting the bug. Maybe you can try upgrading the SDK to the version 1.8.14 and see if the error still exist. ",
"@Linchin I upgraded to 1.8.14, and the error still exists"
] | 2022-09-28T21:38:17 | 2022-09-30T21:09:08 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)? [Standalone deployment](https://www.kubeflow.org/docs/components/pipelines/v1/installation/standalone-deployment/)
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