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https://api.github.com/repos/kubeflow/pipelines/issues/7455 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7455/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7455/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7455/events | https://github.com/kubeflow/pipelines/issues/7455 | 1,178,514,300 | I_kwDOB-71UM5GPrN8 | 7,455 | [feature] Support IR YAML format in API | {
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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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<!-- 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 stumbled upon a case where two features could be useful when building dynam... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7450 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7450/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7450/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7450/events | https://github.com/kubeflow/pipelines/issues/7450 | 1,177,365,961 | I_kwDOB-71UM5GLS3J | 7,450 | [sdk] unarchive_run sets run.storage_state to None instead of STORAGESTATE_ACTIVE | {
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"Could you please archive and then unarchive the run on UI and then check the storage_state from sdk, and see if it behaves the same? Thank you."
] | 2022-03-22T22:20:48 | 2022-03-24T22:48:00 | null | NONE | null | ### Environment
* KFP version:
1.4
* KFP SDK version:
1.8.11
* All dependencies version:
NA
### Steps to reproduce
1. Do a pipeline run:
```
run = client.create_run_from_pipeline_package(
pipeline.yaml,
run_name='my_run',
experiment_name='my_exp',
arguments=args
)
result = run.wait_fo... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7449 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7449/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7449/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7449/events | https://github.com/kubeflow/pipelines/issues/7449 | 1,177,338,195 | I_kwDOB-71UM5GLMFT | 7,449 | kubeflow pipeline run in "kubeflow" namespace instead of user namespace | {
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"Hello @pwzhong , how do you deploy Kubeflow? You are probably installing KFP single-user mode in a full Kubeflow deployment."
] | 2022-03-22T21:41:17 | 2022-03-24T22:54:26 | null | NONE | null | /kind question
**Question:**
My team has installed kubeflow 1.4 on AKS 1.21 with multi-user mode enabled. When I created a pipeline run in a user namespace, it was run in “kubeflow” namespace, instead of the user namespace.
There is no namespace specified in pipeline yaml, and when a pipeline run is created, it... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7445 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7445/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7445/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7445/events | https://github.com/kubeflow/pipelines/issues/7445 | 1,175,154,847 | I_kwDOB-71UM5GC3Cf | 7,445 | [feature] Option to disable downloading of artifacts through UI | {
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"Hello @bodak , are you using full fledged Kubeflow deployment? That is the only way we can use multi-user mode, where artifact access control is possible.\r\n\r\nAlso, data access restriction should be enforced on the storage side, by allowing only the selected personnel to download them. If such access control is... | 2022-03-21T10:08:25 | 2022-03-31T09:05:31 | 2022-03-31T09:05:31 | NONE | null | ### Feature Area
/area frontend
/area backend
### What feature would you like to see?
- Option to disable the ability to download artifacts from the front-end UI. Some form of this would limit accidentally clicking the download link.
- Option to restrict access to the back-end artifact storage. Some form of ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7444 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7444/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7444/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7444/events | https://github.com/kubeflow/pipelines/issues/7444 | 1,174,334,504 | I_kwDOB-71UM5F_uwo | 7,444 | Convert PipelineSpec format from json to yaml | {
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"Related item: https://github.com/kubeflow/pipelines/pull/6524",
"cc @jlyaoyuli ",
"This PR can help validating the change: https://github.com/kubeflow/pipelines/pull/7570",
"Unit test: Update tests accordingly for new yaml format: https://github.com/kubeflow/pipelines/tree/master/frontend/src/data/test"
] | 2022-03-19T19:09:08 | 2022-05-11T19:50:21 | 2022-05-11T19:50:21 | COLLABORATOR | null | ## Problem
There are two types of Pipeline Template definition: ArgoWorkflow (for KFPv1) and PipelineSpec (for KFPv2). Currently we are using `isPipelineSpec()` to determine whether it is v1 or v2.
Reference:
https://github.com/kubeflow/pipelines/blob/939f81088b39ba703cc821d18e7a99523662bf5f/frontend/src/lib/v2/W... | {
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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?
There's no way to patch an existing recurring run via the SDK (or GUI)... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7437 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7437/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7437/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7437/events | https://github.com/kubeflow/pipelines/issues/7437 | 1,173,349,821 | I_kwDOB-71UM5F7-W9 | 7,437 | Why is certificates.k8s.io/v1 used in Cache Deployer instead of OpenSSL? | {
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"Could you please discuss the problem in this issue?\r\nhttps://github.com/kubeflow/manifests/issues/2165"
] | 2022-03-18T08:56:01 | 2022-03-24T23:03:08 | null | NONE | null | Caching is one of the most crucial features of KFP. Each time a pipeline step is the same as an already executed, the results are loaded from the cache server. Caching is accomplished in KFP via two interdependent modules: the cache deployer and the cache server.
While trying to set up the modules in an enterprise ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7435 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7435/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7435/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7435/events | https://github.com/kubeflow/pipelines/issues/7435 | 1,172,209,396 | I_kwDOB-71UM5F3n70 | 7,435 | [feature] Add a param in create_recurring_run to support override the exists job with the same name in the same experiment | {
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"Currently we don't have a plan for implementing this feature in `kfp`. If you are interested in contributing this feature, could you please compose a design doc for discussion in the [Kubeflow Pipelines Community](https://www.kubeflow.org/docs/about/community/) meeting?",
"Yeah, I can contribute to this.\r\n\r\n... | 2022-03-17T10:40:08 | 2022-03-18T16:58:25 | 2022-03-18T16:58:24 | CONTRIBUTOR | null | ### Feature Area
/area sdk
### What feature would you like to see?
Add a param in `create_recurring_run` func to support override exists recurring job with the same name.
### What is the use case or pain point?
In my use case, when I changed the logic of my job, I will remove the jobs with the same name ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7432 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7432/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7432/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7432/events | https://github.com/kubeflow/pipelines/issues/7432 | 1,171,726,909 | I_kwDOB-71UM5F1yI9 | 7,432 | [feature] Support for features in v2 | {
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"reference from community meeting: https://docs.google.com/document/d/1cHAdK1FoGEbuQ-Rl6adBDL5W2YpDiUbnMLIwmoXBoAU/edit#bookmark=id.pn3sq4nva5w0",
"Another tentative question is: What are the current ways to follow along the state of v1 to v2 transition for backend and all?"
] | 2022-03-17T00:27:03 | 2022-03-17T22:45:01 | null | CONTRIBUTOR | null | ### Feature Area
/area sdk
### What feature would you like to see?
Would like to decipher wether KFP v2 will continue to support:
- Recursive pipelines (https://www.kubeflow.org/docs/components/pipelines/sdk/dsl-recursion/)
- ContainerOp components using python SDK directly (not python functions)
- LocalCl... | {
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* 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/. -->
Atop AWS using the `kubeflow/manifests` official distribution with some overlays specific to Zillow.
* KF... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7420 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7420/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7420/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7420/events | https://github.com/kubeflow/pipelines/issues/7420 | 1,170,348,318 | I_kwDOB-71UM5Fwhke | 7,420 | [SDK] Pipeline runs web UI shows the wrong namespace | {
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"Hello @emenendez , this is a known limitation we have right now, because SDK doesn't have the information about whether it is an KFP standalone or a full-fledged Kubeflow deployment. We don't have a clear idea yet about how to overcome this.",
"Thanks so much for following up @zijianjoy!"
] | 2022-03-15T23:01:38 | 2022-03-21T22:56:09 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)? As part of a full Kubeflow 1.4 install on GKE.
* KFP version: 1.7.0, packaged with Kubeflow 1.4
### Steps to reproduce
1. Use the KFP Python SDK (for example, `create_run_from_pipeline_func()` to create a pipeline from a Jupyter Notebook. Use th... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7416 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7416/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7416/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7416/events | https://github.com/kubeflow/pipelines/issues/7416 | 1,169,117,766 | I_kwDOB-71UM5Fr1JG | 7,416 | [bug] google-cloud-pipeline-components.readthedocs.io now points to 1.0.1 version instead of 1.0.0 | {
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I went to the main documentation URL: https://google-cloud-pipeline-components.readthedocs.io/
### What happened:
I was directed to this URL, which doesn't exist: https://google-cloud-pipeline-components.readthedocs.io/en/google-cloud-pipeline-components-1.0.1/
### What did you e... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7413 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7413/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7413/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7413/events | https://github.com/kubeflow/pipelines/issues/7413 | 1,169,007,766 | I_kwDOB-71UM5FraSW | 7,413 | [sdk] Code style/formatting standardization | {
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"Format with `yapf`: https://github.com/kubeflow/pipelines/pull/7414\r\n\r\nUpdate contributing guidelines: https://github.com/kubeflow/pipelines/pull/7436",
"Closing in favor of a larger developer experience improvement effort."
] | 2022-03-14T23:13:33 | 2022-04-27T00:07:18 | 2022-04-27T00:07:17 | MEMBER | null | This issue describes steps for improving the linting and formatting of our codebase.
Action items:
- [ ] Change source code files to be `pylint` compliant and align `.pylintrc` with the desired state of our source code files
- [x] Format all files with `yapf`
- [ ] Create (a) CI/CD workflow(s) to hold linting, fo... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7389 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7389/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7389/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7389/events | https://github.com/kubeflow/pipelines/issues/7389 | 1,163,345,756 | I_kwDOB-71UM5FVz9c | 7,389 | [bug] google_cloud_pipeline_components ModelBatchPredictOp() | {
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"Any updates? I'm having the same issue when creating a batch prediction job that consumes TFRecord files.",
"Ah, I believe I found the issue. I missed that the gcs_source_uris argument must be a list of strings. I had passed a string and the quotes around the URI were removed in the payload JSON string. It m... | 2022-03-09T00:14:22 | 2023-07-27T16:02:11 | null | NONE | null | ### What steps did you take:
I was deploying a pipeline to Vertex AI that was doing Model Upload and Batch Prediction jobs. But I got an error when the pipeline was executing the Batch Prediction Job. The code is below:
```
from kfp.v2.google.client import AIPlatformClient
from google_cloud_pipeline_components im... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7382 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7382/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7382/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7382/events | https://github.com/kubeflow/pipelines/issues/7382 | 1,161,993,663 | I_kwDOB-71UM5FQp2_ | 7,382 | [PROPOSAL] A Generic Protocol for Kubeflow Pipeline Template Registry | {
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"Thanks for all feedbacks! Closing this issue and review responses.\r\n"
] | 2022-03-07T22:27:00 | 2022-03-29T15:24:36 | 2022-03-29T15:24:36 | CONTRIBUTOR | null | ## Introduction
We are working on a generic protocol design of Kubeflow Pipeline Template Registry.
At high level, the protocol will define the generic APIs between KFP SDK client and a template registry server to
- upload and download template (as YAML file or ZIP), and
- organize templates as versioned obje... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7381 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7381/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7381/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7381/events | https://github.com/kubeflow/pipelines/issues/7381 | 1,161,887,261 | I_kwDOB-71UM5FQP4d | 7,381 | [feature] Add the ability to decide if we want an Artifact to be uploaded to the remote or not | {
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<!-- Uncomment the labels below which are relevant to this feature: -->
/area frontend
/area backend
/area sdk
### What feature would you like to see?
I would like to be able to decide if a component Output/Input should be uploaded to the remote or not.
The `Artifact` would always be... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7379 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7379/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7379/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7379/events | https://github.com/kubeflow/pipelines/issues/7379 | 1,160,869,953 | I_kwDOB-71UM5FMXhB | 7,379 | Update the feature flags in localStorage if the new version has more feature flags than the stored one | {
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Currently, we have a hidden page which allows user to enable/disable features which are under development. The URL path is `<KFP_HOST_ADDRESS>/frontend_features`. We call it Feature Flag page, refer to [Large features development](https://github.com/kubeflow/pipelines/tree/master/frontend#large-featur... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7378 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7378/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7378/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7378/events | https://github.com/kubeflow/pipelines/issues/7378 | 1,160,349,776 | I_kwDOB-71UM5FKYhQ | 7,378 | ValueError: Invalid value for `image_pull_policy` (None), must be one of ['Always', 'IfNotPresent', 'Never'] | {
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"`image_pull_policy` is actually not supported in v2 yet. The reason that this method is still \"available\" is because we have the v1 and v2 code mixed together in 1.8 branch. This has changed in the master branch, as we completely removed `ContainerOp` and its methods not supported in v2 yet.\r\n"
] | 2022-03-05T13:20:25 | 2022-03-11T01:02:04 | null | NONE | null |
* KFP version:
kfp 1.8.11
kfp-pipeline-spec 0.1.13
kfp-server-api 1.7.1
I am trying to create a Kubeflow pipeline using python SDK v2 and when I am trying to run the code on the pipeline I am getting "Image_Pull_Policy" error.
```
import kfp
from caffe2.perfkern... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7370 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7370/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7370/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7370/events | https://github.com/kubeflow/pipelines/issues/7370 | 1,157,116,251 | I_kwDOB-71UM5E-DFb | 7,370 | [feature] Add an endpoint that restore experiment and its runs at once | {
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"Hello @difince , can you write a design proposal and discuss it in a KFP community meeting? So we can have a chance to discuss how it fits user's need and how to implement the new APIs."
] | 2022-03-02T12:16:33 | 2022-03-03T23:49:05 | 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?
Add an endpoint that restores Experiment and all of its Runs at once
... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7369 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7369/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7369/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7369/events | https://github.com/kubeflow/pipelines/issues/7369 | 1,157,084,504 | I_kwDOB-71UM5E97VY | 7,369 | [feature] Create parent directories of `output_component_file` | {
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"/cc @ji-yaqi ",
"Hi @gabrielmbmb, thank you and you can contribute this branch https://github.com/kubeflow/pipelines/tree/sdk/release-1.8 for SDK v1 changes. We might have some changes in v2 for this output file. "
] | 2022-03-02T11:47:02 | 2022-03-03T23:58:45 | null | NONE | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
/area sdk
### What feature would you like to see?
I would like `output_component_file` file hierarchy to be created i.e. create parent directories if they do not exist. The example below raises `FileNotFoundError` because... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7368 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7368/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7368/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7368/events | https://github.com/kubeflow/pipelines/issues/7368 | 1,157,054,224 | I_kwDOB-71UM5E9z8Q | 7,368 | [backend] DeletePipeline does not clean PipelienVersions data from Minio | {
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"/assign @difince \r\n",
"/cc @chensun "
] | 2022-03-02T11:19:56 | 2022-03-31T13:11:16 | null | MEMBER | null | When a Pipeline has Pipeline Versions for each version there is a record in the Object Store (Minio). On delete Pipeline all the records (Pipeline and its Versions) are deleted from the database(MySQL), but not all are deleted from Minio. Minio records for Pipeline Versions are not deleted.
### Environment
Linux U... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7363 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7363/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7363/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7363/events | https://github.com/kubeflow/pipelines/issues/7363 | 1,155,676,871 | I_kwDOB-71UM5E4jrH | 7,363 | [sample] Error running xgboost_training_cm.py | {
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"Thank you! Should we see an update to the GCR image for [ml-pipeline-gcp](https://console.cloud.google.com/gcr/images/ml-pipeline/GLOBAL/ml-pipeline-gcp)? \r\n\r\nAre we sure the dataproc client is fixed? I don't see anything that calls [_create_client](https://github.com/kubeflow/pipelines/blob/master/components/... | 2022-03-01T18:35:14 | 2022-08-08T15:55:09 | 2022-03-01T20:51:03 | COLLABORATOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)? GCP marketplace
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP version: 1.7.1
<!-- Specify the version of Kubeflow Pipelines that you are using. Th... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7361 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7361/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7361/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7361/events | https://github.com/kubeflow/pipelines/issues/7361 | 1,154,622,478 | I_kwDOB-71UM5E0iQO | 7,361 | [backend] "Signal command failed: command terminated with exit code 1" when terminating a pipeline | {
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"/assign @chensun ",
"@chensun @emenendez \r\n\r\nHas this issue been fixed already ? I am seeing a similar issue on Kubeflow 1.5 though the error logs do not show a `Signal command failed`. Instead, the wait container seems to send the right signal to the main container but the main container does not catch it. ... | 2022-02-28T22:34:26 | 2022-06-14T20:52:10 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?: As part of a full Kubeflow 1.4 deployment on GKE.
* KFP version: 1.7.0, packaged with Kubeflow 1.4
* KFP SDK version: N/A
### Steps to reproduce
1. Create a new pipeline run.
2. Click the "Terminate" link in the KFP web UI.
3. Observe that ... | {
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"/cc @chensun "
] | 2022-02-28T09:16:41 | 2022-03-03T23:56:17 | null | NONE | null | ### What happened:
I getting this error when use the Dataproc component, there is a way to pass the project_id like a string?
```
TypeError: Passing value "saasbcn-98ce0" with type "String" (as "Parameter") to component input "project_id" with type "GCPProjectID" (as "Artifact") is incompatible. Please fix the typ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7356 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7356/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7356/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7356/events | https://github.com/kubeflow/pipelines/issues/7356 | 1,153,220,339 | I_kwDOB-71UM5EvL7z | 7,356 | Best data versioning tool/framework with kfp for seamless integration. | {
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"/assign @connor-mccarthy ",
"@vamshi-rvk, thanks for your question.\r\n\r\n`kfp` does not natively integrate with any data versioning tools/frameworks, but [`dvc`](https://dvc.org/) is a popular open-source data version control system used in many MLOps workflows, including those that work with image data. I rec... | 2022-02-27T11:48:54 | 2022-03-10T14:18:25 | 2022-03-09T18:13:56 | NONE | null | Hi, our team has started implementing kfp for mlops, and we are researching on best methods to data version. We primarily work on **images** but not limited to it. Which would be the best data versioning framework which works along with kfp with seamless integration and featureset. | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7347 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7347/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7347/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7347/events | https://github.com/kubeflow/pipelines/issues/7347 | 1,148,458,821 | I_kwDOB-71UM5EdBdF | 7,347 | GCP Vertex AI, deploying model to existing endpoint | {
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"I'm doing this by using a custom component that checks for existing endpoints based on display_name and then deploys the model to it if found. \r\n\r\n```\r\naiplatform.init(project=project)\r\ntarget_endpoint = None\r\nfor endpoint in aiplatform.Endpoint.list(order_by=\"update_time desc\"):\r\n if endpoint.dis... | 2022-02-23T18:52:32 | 2022-05-25T11:40:54 | null | NONE | null | ### Feature Area
/area sdk
/area components
I currently have a simple pipeline that deploys to Vertex AI that takes an existing model container image from Artifact Registry, uploads it to the Vertex AI model store, creates an endpoint and deploys the model to that endpoint. So far so good.
Now say I have a n... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7346 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7346/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7346/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7346/events | https://github.com/kubeflow/pipelines/issues/7346 | 1,148,069,282 | I_kwDOB-71UM5EbiWi | 7,346 | [components] Google Cloud Custom Job missing option in create_custom_training_job_op_from_component | {
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"This is now supported https://github.com/kubeflow/pipelines/blob/master/components/google-cloud/google_cloud_pipeline_components/v1/custom_job/utils.py#L51\r\n\r\nplease upgrade to gcpc v1.0.0 to use this.",
"/close",
"@IronPan: Closing this issue.\n\n<details>\n\nIn response to [this](https://github.com/kubef... | 2022-02-23T13:04:39 | 2022-03-03T23:11:46 | 2022-02-26T06:27:33 | NONE | null | Looks like option reserved_ip_ranges is missing in create_custom_training_job_op_from_component() in utils. It was only added to components.yaml.
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https://api.github.com/repos/kubeflow/pipelines/issues/7345 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7345/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7345/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7345/events | https://github.com/kubeflow/pipelines/issues/7345 | 1,148,044,736 | I_kwDOB-71UM5EbcXA | 7,345 | [sdk] Can't use create_component_from_func with pip packages when running as non-root | {
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"With KFP 1.8.11 (compared with 1.6.6) the `_get_packages_to_install_command` has unfortunately been refactored to be performed inline in _func_to_component_spec, making this much harder to monkeypatch.",
"cc @connor-mccarthy, seems like it gets to do with pip_install info. ",
"@[skogsbrus](https://github.com/s... | 2022-02-23T12:43:05 | 2022-09-23T11:29:44 | null | NONE | null | ### Environment
* KFP version: 1.7 (KF 1.4)
* KFP SDK version: 1.6.6
* All dependencies version:
```
kfp 1.6.6
kfp-pipeline-spec 0.1.13
kfp-server-api 1.7.1
```
### Steps to reproduce
Background:
* Due to security concerns it's a bad ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7343 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7343/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7343/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7343/events | https://github.com/kubeflow/pipelines/issues/7343 | 1,146,594,609 | I_kwDOB-71UM5EV6Ux | 7,343 | [feature][question]When output artifacts, is there a way to disable compression? | {
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"@yangyang919 hi, any help you can provide on solving the same? Thanks in advance."
] | 2022-02-22T08:23:54 | 2022-06-23T11:44:11 | null | NONE | null | We have one kubeflow pipeline to train a model and then output a model to Minio storage. Then we are using KServe to fetch the model from Minio and deploy it. But by default, the model is compressed as tgz file in Mino, which makes KServe couldn't load the model.
Any guidance on how to solve this? Thanks!!! | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7341 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7341/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7341/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7341/events | https://github.com/kubeflow/pipelines/issues/7341 | 1,145,751,289 | I_kwDOB-71UM5ESsb5 | 7,341 | [feature] System utilization for the pipeline and its steps | {
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"This is similar to https://github.com/kubeflow/pipelines/issues/6336. You can try deploying Prometheus and expose run metrics to there."
] | 2022-02-21T12:43:54 | 2022-02-24T23:47:09 | null | NONE | null | ### Feature Area
Not sure
### What feature would you like to see?
Logging of system utilization to KFP metrics. Pipeline statistics of CPU/RAM/GPU usage over the course of pipeline run could be helpful in experiment comparison from performance point of view.
Example how the final results could look like when ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7340 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7340/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7340/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7340/events | https://github.com/kubeflow/pipelines/issues/7340 | 1,144,950,663 | I_kwDOB-71UM5EPo-H | 7,340 | [feature] Parametrize pipeline using current date and time | {
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```python
@pipeline()
def my_pipeline(
date: str = datetime.now().strftime("%Y_%m_%d-%H:%M:%S.%f")[:-4],
):
...
```
By default I want to set that input argument to the datetime when the pipeline is r... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7338 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7338/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7338/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7338/events | https://github.com/kubeflow/pipelines/issues/7338 | 1,144,519,302 | I_kwDOB-71UM5EN_qG | 7,338 | [release] Backend 1.8.1 tracker | {
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"/cc @zijianjoy ",
"Thank you Chen for handling this patch release! By learning from this experience, it is better to do a Kubeflow validation next time before cutting an official release. After this PR is merged, would you like to make a RC release for v1.8.1 first, which allows me to do a full validation on Kub... | 2022-02-19T06:50:34 | 2022-03-02T07:31:02 | 2022-03-02T07:31:01 | COLLABORATOR | null | Need to cherry-pick the following PRs to release-1.8 branch before making the official release:
- [x] https://github.com/kubeflow/pipelines/pull/7337 | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7336 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7336/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7336/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7336/events | https://github.com/kubeflow/pipelines/issues/7336 | 1,143,931,733 | I_kwDOB-71UM5ELwNV | 7,336 | [backend] Use `default-editor` as serviceAccountName in multi-user mode | {
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"cc @chensun @Bobgy ",
"I think the fix should be:\r\n\r\n```\r\nconst (\r\n\tDefaultPipelineRunnerServiceAccountFlag = \"DefaultPipelineRunnerServiceAccount\"\r\n)\r\n\r\n\tif len(workflowServiceAccount) == 0 || workflowServiceAccount == common.DefaultPipelineRunnerServiceAccount {\r\n\t\t// To reserve SDK backw... | 2022-02-18T23:28:04 | 2022-02-22T07:34:24 | 2022-02-22T07:34:24 | COLLABORATOR | null | ### Environment
This is an issue I found with KFP backend 1.8.0 on Full fledged Kubeflow.
### Steps to reproduce
Run a KFP pipeline on full Kubeflow, the error is
```
This step is in Error state with this message: task 'conditional-execution-pipeline-with-exit-handler-6gfkq.exit-handler-1.flip-coin-op' e... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7335 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7335/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7335/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7335/events | https://github.com/kubeflow/pipelines/issues/7335 | 1,142,896,692 | I_kwDOB-71UM5EHzg0 | 7,335 | [feature] When restoring an Experiment, add an option to restore all of its Runs | {
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"Hello @difince , thank you for filing this request. I am wondering what is the use case for restoring all the runs inside an experiment?\r\n\r\nI am assuming the archived runs are something people don't usually visit. I might lack some knowledge on why people would want to massively restore all the runs.",
"Hi @... | 2022-02-18T11:39:39 | 2022-03-03T23:24:35 | 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?
When restoring an experiment, a popup should show 3 options for the us... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7334 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7334/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7334/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7334/events | https://github.com/kubeflow/pipelines/issues/7334 | 1,142,738,713 | I_kwDOB-71UM5EHM8Z | 7,334 | [feature] Add deletePipelineByName endpoint | {
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"/assign @difince difince"
] | 2022-02-18T09:45:35 | 2022-02-24T23:39:58 | null | MEMBER | null | ### Feature Area
/area backend
<!-- 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?
Add new endpoint - deletePipelineByName
In t... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7330 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7330/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7330/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7330/events | https://github.com/kubeflow/pipelines/issues/7330 | 1,141,072,007 | I_kwDOB-71UM5EA2CH | 7,330 | [feature] allow jobs to fail | {
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"Making it configurable sounds fine to me. \r\n\r\nA possible workaround for now, albeit hacky, you could put your training into an exit handler task. In that case, it would run regardless whether the upstream tasks succeed or not.",
"Hi @chensun, thanks for taking this. Would be very nice to have this.\r\n\r\nRe... | 2022-02-17T09:21:49 | 2023-02-07T02:24:37 | 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 -->
/area backend
### What feature would you like to see?
<!-- Provide a description of this feature and ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7329 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7329/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7329/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7329/events | https://github.com/kubeflow/pipelines/issues/7329 | 1,140,778,166 | I_kwDOB-71UM5D_uS2 | 7,329 | [backend] Some executions on Kubeflow MLMD have no values | {
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"Can't tell if anything was wrong without seeing the pipeline/component code, it appears to me that the value here is a json serialized list of string."
] | 2022-02-17T01:58:19 | 2022-02-17T23:36:23 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Full Kubeflow deployment
* KFP version:
1.5
* KFP SDK version:
1.6.0
### Steps to reproduce
Some output values of Kubeflow MLMD `mlmd.get_executions_by_context(context.id)` ([reference](https://www.tensorflow.org/tfx/ml_metadata/api_docs/pyth... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7328 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7328/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7328/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7328/events | https://github.com/kubeflow/pipelines/issues/7328 | 1,140,777,684 | I_kwDOB-71UM5D_uLU | 7,328 | [backend] Only 1 component gets logged into MLMD for some pipeline runs | {
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"In v1, the metadata logging is done in an async way. There could be a number of reasons if you have missing MLMD.\r\n\r\nKFP 1.5 is relatively old, there's an chance there were bugs being fixed in the later version. Could you please try using the latest KFP release?",
"@chensun we are actually on 1.7.0 (aka defa... | 2022-02-17T01:57:19 | 2022-02-18T17:26:50 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Full Kubeflow deployment
* KFP version:
1.5
* KFP SDK version:
1.6.0
### Steps to reproduce
After running several pipelines multiple times, only 1 component gets logged into MLMD for some pipeline runs. This is problematic as we can't query f... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7327 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7327/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7327/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7327/events | https://github.com/kubeflow/pipelines/issues/7327 | 1,140,775,951 | I_kwDOB-71UM5D_twP | 7,327 | [feature] Remove custom hash suffix to end of KFP pipeline name in executions | {
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"There needs to be some unique name, otherwise, if you run a pipeline multiple time, how would we differentiate them?\r\n\r\n> Users have to query for the correct execution or context and get the relevant id then get the desired pipeline which is counter intuitive and troublesome.\r\n\r\nThis feels a reasonable pat... | 2022-02-17T01:53:41 | 2022-02-18T00:19:54 | null | NONE | null | ### Feature Area
/area backend
### What feature would you like to see?
Remove custom hash suffix to end of KFP pipeline name in executions
### What is the use case or pain point?
KFP adds a custom hash to the end of the pipeline name similar to how kubernetes adds a unique suffix to pod names. This makes i... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7325 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7325/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7325/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7325/events | https://github.com/kubeflow/pipelines/issues/7325 | 1,140,723,909 | I_kwDOB-71UM5D_hDF | 7,325 | [sdk] kfp.dsl.RUN_ID_PLACEHOLDER confusion: is this different than Argo's {{workflow.uid}}? | {
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"Hi @jli Argo's `{{workflow.uid}}` is an Argo-specific and `kfp.dsl.RUN_ID_PLACEHOLDER` is a platform neutral argument. Feel free to reopen if you need more clarification, thanks!"
] | 2022-02-17T00:23:48 | 2022-02-17T23:18:27 | 2022-02-17T23:18:27 | CONTRIBUTOR | null | ### Environment
* KFP version: 1.7.1
* KFP SDK version: 1.6.2
* All dependencies version:
```
kfp 1.6.2
kfp-pipeline-spec 0.1.13
kfp-server-api 1.7.1
```
### Steps to reproduce
My team uses `kfp.dsl.RUN_ID_PLACEHOLDER` as a way to reference a... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7310 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7310/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7310/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7310/events | https://github.com/kubeflow/pipelines/issues/7310 | 1,138,450,378 | I_kwDOB-71UM5D21_K | 7,310 | [sdk] PipelineParams are not serialized | {
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"This is expected. The basic building blocks for a pipeline are components and dsl features like `dsl.Condition`, `dsl.ParallelFor`, etc. You should avoid having arbitrary Python code like `dict(foo=test)`, they are non-containerized code that won't be executed at pipeline runtime. \r\nConsider using a component in... | 2022-02-15T09:58:37 | 2022-02-18T07:57:25 | 2022-02-18T00:04:12 | NONE | null | ### Environment
* KFP SDK version: 1.8.11 (v2)
This is related to: #2206
I also commented there, but I am not sure if adding a new issue is the better way to go.
I try to pass a dict containing pipeline parameters to a component (as shown by numerology in #2206 ), but the serialization of the pipeline param... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7302 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7302/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7302/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7302/events | https://github.com/kubeflow/pipelines/issues/7302 | 1,136,742,596 | I_kwDOB-71UM5DwVDE | 7,302 | [feature] Multi-user support for local standalone deployment | {
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"Duplicate with https://github.com/kubeflow/pipelines/issues/6314.\r\n\r\nCurrently we don't have plan to support Multi-user feature in KFP standalone. Please use full Kubeflow if you want to benefit from Multi-user feature."
] | 2022-02-14T04:15:51 | 2022-02-17T23:26:08 | 2022-02-17T23:26:08 | NONE | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
/area backend
<!-- /area sdk -->
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
<!-- Provide a description of this feature and the user experience. -... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7301 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7301/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7301/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7301/events | https://github.com/kubeflow/pipelines/issues/7301 | 1,134,166,557 | I_kwDOB-71UM5DmgId | 7,301 | Reuse artifact in different pipeline/run | {
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"To reuse an existing artifact, you could use an `importer` that imports an artifact with a given path. For example,\r\nhttps://github.com/kubeflow/pipelines/blob/a9f18fe985016ba9c1cbb24665d2b173797c91ec/sdk/python/kfp/v2/compiler_cli_tests/test_data/pipeline_with_importer.py#L50-L55\r\nThis currently only works on... | 2022-02-12T15:11:51 | 2022-05-09T06:04:04 | null | NONE | null | My pipeline consists of three components: `dataset_preparation`, `training` and `evaluation`. The first one reads all files in my data lake and generates a dataset artifact (stored to S3) that is used in the following components.
We keep adding new files to the datalake on a daily basis, so by default I want to tra... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7339 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7339/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7339/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7339/events | https://github.com/kubeflow/pipelines/issues/7339 | 1,144,880,139 | I_kwDOB-71UM5EPXwL | 7,339 | Component Visualizations are not shown in Run Output | {
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"Hello @jayaswalayush , I have moved this issue to kubeflow pipelines repository. \r\n\r\nIndeed the `Run Output` for showing all visualizations is not implemented yet for V2. This is on our radar and we are planning to start working on it once we have built KFP v2.0.0-alpha.\r\n\r\nCode location: \r\nhttps://githu... | 2022-02-11T11:45:33 | 2023-01-18T20:13:51 | null | NONE | null | I have uploaded the metrics_visualization pipeline in the Kubeflow Console and when I invoke a run I am able to see the visualizations yet they are not seen in the run output
![image](https://user-image... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7296 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7296/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7296/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7296/events | https://github.com/kubeflow/pipelines/issues/7296 | 1,131,931,250 | I_kwDOB-71UM5Dd-Zy | 7,296 | [feature].need support for file list | {
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"> i want to merge multi files in one pipeline task,so i need support list[InputPath] such like this\r\n\r\nCan't you use `list[str]`?\r\n",
"> > i want to merge multi files in one pipeline task,so i need support list[InputPath] such like this\r\n> \r\n> Can't you use `list[str]`?\r\n\r\nso i put the content to s... | 2022-02-11T07:09:09 | 2022-02-21T06:10:00 | 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 want to merge multi files in one pipeline task,so i need s... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7294 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7294/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7294/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7294/events | https://github.com/kubeflow/pipelines/issues/7294 | 1,130,231,053 | I_kwDOB-71UM5DXfUN | 7,294 | [frontend] args sort in ui doesn't follow py-func pipeline | {
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"Hello @iuiu34 , since it is Vertex Pipelines, you can file Google Support ticket to get more help. Closing it for now as it is not related to kubeflow pipelines."
] | 2022-02-10T14:56:29 | 2022-02-10T23:57:49 | 2022-02-10T23:57:48 | NONE | null | ### Environment
Google vertex
### Deployment
If we define
```py
@component
def test(a: str, b: str, c: str, d:str) -> str:
kwargs = locals()
return str(kwargs)
@pipeline(
name=name
)
def pipeline(
a: str = 'a', b: str = 'b', c: str = 'c', d: str = 'd'):
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https://api.github.com/repos/kubeflow/pipelines/issues/7285 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7285/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7285/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7285/events | https://github.com/kubeflow/pipelines/issues/7285 | 1,128,765,820 | I_kwDOB-71UM5DR5l8 | 7,285 | [frontend] Make JSON structured logs more readable | {
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"Hello @davidxia , I agree this is a nice feature to add. If you are interested, feel free to contribute. https://github.com/kubeflow/pipelines/blob/master/frontend/src/components/LogViewer.tsx"
] | 2022-02-09T16:31:12 | 2022-02-10T23:43:14 | null | CONTRIBUTOR | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
/area frontend
### What feature would you like to see?
Something that makes JSON logs more readable. Perhaps JSON blocks that can be expanded and collapsed.
### What is the use case or pain point?
I use Google Clo... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7283 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7283/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7283/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7283/events | https://github.com/kubeflow/pipelines/issues/7283 | 1,128,004,353 | I_kwDOB-71UM5DO_sB | 7,283 | The exception is raised when non ascii code characters are passed as a argument to pipeline component. | {
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"@ak-tanak Hello,\r\n\r\nWould you like to use the V1 mode first by removing `kfp.dsl.PipelineExecutionMode.V2_COMPATIBLE` and see whether you are unblocked? V2 compatible is not supported any more. Thank you!",
"@zijianjoy I try to run the code by removing `kfp.dsl.PipelineExecutionMode.V2_COMPATIBLE` , but same... | 2022-02-09T03:24:18 | 2023-04-23T04:46:40 | null | NONE | null | ### What steps did you take
Run the following pipeline example code on notebook to log multi-byte string "あ".
```python
import kfp
from kfp import dsl
from kfp.v2.dsl import component
@component(base_image="python:3.7")
def display_str_op(var: str):
print(var)
@dsl.pipeline(
name="simple-p... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7274 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7274/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7274/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7274/events | https://github.com/kubeflow/pipelines/issues/7274 | 1,126,899,789 | I_kwDOB-71UM5DKyBN | 7,274 | [backend] Argo Workflows created for ScheduledWorkflows are missing common metadata | {
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"/assign @ji-yaqi ",
"Hi @jmendesky, is there any impact of this missing metadata that we should be aware of?",
"> Hi @jmendesky, is there any impact of this missing metadata that we should be aware of?\r\n\r\n@ji-yaqi we use this metadata in our automation which reacts to finished pipeline runs. This automatio... | 2022-02-08T07:44:17 | 2022-06-20T07:04:40 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Kustomize
* KFP version:
1.3.0 - but the same behaviour is present in current versions
* KFP SDK version:
1.8.10
### Steps to reproduce
- Create a Pipeline run
- Create a Recurring Run for the same pipeline
- Compare `.metad... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7271 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7271/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7271/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7271/events | https://github.com/kubeflow/pipelines/issues/7271 | 1,126,398,832 | I_kwDOB-71UM5DI3tw | 7,271 | [backend] ml-pipeline deployment readiness probe failed | {
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"Hello @yuhuishi-convect , can you provide more information about other deployments in your cluster?\r\n\r\nml-pipeline is the last Deployment that can be ready only when other Deployments are running. Possible reason is that your storage client is failing (SQL database, etc.), which caused the ml-pipeline also fai... | 2022-02-07T19:21:47 | 2022-05-19T03:12:27 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)? AWS EKS
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP version: 1.2
<!-- Specify the version of Kubeflow Pipelines that you are using. The version nu... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7270 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7270/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7270/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7270/events | https://github.com/kubeflow/pipelines/issues/7270 | 1,126,244,456 | I_kwDOB-71UM5DISBo | 7,270 | [bug] No _back_quoted_if_needed(model_name) in bigquery_predict_model_job | {
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"cc @IronPan "
] | 2022-02-07T16:50:51 | 2022-02-10T23:56:29 | null | NONE | null | ### What steps did you take
Run google_cloud_pipeline_components.experimental.bigquery.BigqueryPredictModelJobOp job on pipeline. Pass in parameter model_name = "\`project.dataset.model\`" WITH BACKTICKS as I did on google_cloud_pipeline_components.experimental.bigquery.BigqueryEvaluateModelJobOp. Pipeline run fails... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7266 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7266/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7266/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7266/events | https://github.com/kubeflow/pipelines/issues/7266 | 1,124,869,929 | I_kwDOB-71UM5DDCcp | 7,266 | [backend] v1 caching broken in KFP 1.8 release branch | {
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The change was released in Argo workflow [v3.2.0-rc1](https://github.com... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7263 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7263/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7263/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7263/events | https://github.com/kubeflow/pipelines/issues/7263 | 1,124,694,310 | I_kwDOB-71UM5DCXkm | 7,263 | [release] Backend 1.8.0 tracker | {
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"One more item to cherry pick: https://github.com/kubeflow/pipelines/pull/7227",
"Hello Chen, would you mind also picking up this PR? https://github.com/kubeflow/pipelines/pull/7155",
"Released: https://github.com/kubeflow/pipelines/releases/tag/1.8.0"
] | 2022-02-04T23:06:34 | 2022-02-19T06:47:53 | 2022-02-19T06:47:53 | COLLABORATOR | null | ## Cherry pick PRs
Make sure to cherry pick the following PRs to `release-1.8` branch before making the official release:
- [x] https://github.com/kubeflow/pipelines/pull/7252
- [x] https://github.com/kubeflow/pipelines/pull/7267
- [x] https://github.com/kubeflow/pipelines/pull/7227
- [x] https://github.com/... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7261 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7261/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7261/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7261/events | https://github.com/kubeflow/pipelines/issues/7261 | 1,124,600,900 | I_kwDOB-71UM5DCAxE | 7,261 | Possible to set max concurrent runs on an experiment? | {
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"/assign @ji-yaqi "
] | 2022-02-04T20:43:39 | 2022-02-10T23:45:16 | null | NONE | null | Hi folks, we have a use case where we have multiple training model pipelines and one evaluation pipeline. We'd like to block on the evaluation pipeline so that there is no race condition when comparing model performances. e.g. consider the case where model A has much better performance than model B, and model B is slig... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7257 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7257/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7257/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7257/events | https://github.com/kubeflow/pipelines/issues/7257 | 1,124,201,238 | I_kwDOB-71UM5DAfMW | 7,257 | [bug] Artifacts and Lineage explorer don't work with KFP SDK V2 | {
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"Hello @AlexandreBrown , this is fixed in https://github.com/kubeflow/pipelines/pull/6989, you can try any 1.8.0 release candidate, for example: v1.8.0-rc.2 for the KFP backend.",
"Thanks @zijianjoy , could you explain how I can test the 1.8.0-rc.2 KFP backend with Kubeflow 1.4.1 manifest? Thanks",
"It depends,... | 2022-02-04T13:23:54 | 2022-02-11T03:49:54 | 2022-02-10T23:40:05 | NONE | null | ### What steps did you take
1. Install Kubeflow 1.4
2. Create a pipeline with multiple artifacts type to illustrate the issue better (use Input[T] and Output[T])
3. Run pipeline
4. Navigate to the Artifacts page
### What happened:
- No pipeline workspace and pipeline name is visible.
- All pipeline runs are grouped ... | {
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"The feature request sounds reasonable."
] | 2022-02-03T05:04:12 | 2022-02-18T00:58:36 | null | NONE | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
<!-- /area backend -->
/area sdk
<!-- /area samples -->
/area components
### What feature would you like to see?
<!-- Provide a description of this feature and the user experience. -->
Us... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7242 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7242/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7242/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7242/events | https://github.com/kubeflow/pipelines/issues/7242 | 1,121,016,761 | I_kwDOB-71UM5C0Vu5 | 7,242 | [feature] Deduplicate component templates | {
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"hm, actually, I think this is a dupe of this older issue which got auto-closed https://github.com/kubeflow/pipelines/issues/4272"
] | 2022-02-01T17:47:06 | 2022-02-05T01:51:42 | null | CONTRIBUTOR | null | ### Feature Area
/area sdk
### What feature would you like to see?
I would like the KFP compiler to reuse templates when calling the same component multiple times. In other words, each component only appears as a template once in the `spec.templates` pipeline yaml spec, and called with different input parame... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7241 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7241/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7241/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7241/events | https://github.com/kubeflow/pipelines/issues/7241 | 1,120,442,203 | I_kwDOB-71UM5CyJdb | 7,241 | [feature] Allow specifying inputs that are ignored by cache | {
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"Duplicate issue"
] | 2022-02-01T09:48:19 | 2022-02-01T09:50:55 | 2022-02-01T09:50:55 | CONTRIBUTOR | null | It would be nice if we could control which inputs are taken into consideration when deciding whether to use cached results or not, e.g. allow setting a boolean flag in an input's definition to tell Kubeflow to ignore it when checking the cache such that if its value changes between runs, the cached output is still used... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7238 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7238/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7238/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7238/events | https://github.com/kubeflow/pipelines/issues/7238 | 1,120,080,692 | I_kwDOB-71UM5CwxM0 | 7,238 | [SDK] KFP SDK V2 Namespace Plan | {
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"Fixed by https://github.com/kubeflow/pipelines/pull/7376 and https://github.com/kubeflow/pipelines/pull/7291"
] | 2022-02-01T00:21:54 | 2022-03-05T00:38:00 | 2022-03-05T00:38:00 | CONTRIBUTOR | null | ## Background
Previously on **KFP SDK v1.x**, we had two modes of import, signaling two different compilers with different compilation results.
* <code>import kfp</code> imports KFP v1 and v2-compatible mode compiler
* <code>import kfp.v2</code> imports KFP v2 mode compiler
Two modes of import are co... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7234 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7234/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7234/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7234/events | https://github.com/kubeflow/pipelines/issues/7234 | 1,119,369,627 | I_kwDOB-71UM5CuDmb | 7,234 | [components] custom training job from component bug | {
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"Having same issue it is not able to print the log_metric also",
"Reproduced the issue and looks like the `executor_output.json` is not generated which is causing the problem. ",
"This affects also the output parameters",
"This is now fixed, and the output is emitted as expected. Please reopen if this still h... | 2022-01-31T12:30:45 | 2023-01-05T10:42:17 | 2022-04-18T17:25:03 | NONE | null | ### Environment
* KFP version:
kfp==1.8.10
* google_cloud_pipeline_components SDK version:
google-cloud-pipeline-components==0.2.2
### Steps to reproduce
1) create a python function based component, e.g.:
```
@component
def process(
output_dataset_one: Output[Dataset],
):
output_dataset_one... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7230 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7230/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7230/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7230/events | https://github.com/kubeflow/pipelines/issues/7230 | 1,117,674,955 | I_kwDOB-71UM5Cnl3L | 7,230 | No graph to show in ML Pipeline UI kubeflow 1.3 on Openshift 4.8 | {
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"cc @animeshsingh @Tomcli \r\n",
"For initial debugging: Can you open Chrome developer tool on your browser to see if there is any error message?",
"Hi @rganeshsharma, which Openshift kfdef did you use? I remember Kubeflow 1.3 for opendatahub should be single user because the Istio sidecar for multi-user requir... | 2022-01-28T17:47:44 | 2022-02-04T00:35:17 | null | NONE | null | ### What steps did you take
<!-- A clear and concise description of what the bug is.-->
No graph to show in ML Pipeline UI kubeflow 1.3 on Openshift 4.8
We have used https://opendatahub.io/docs/kubeflow/installation.html for deploying Kubelfow 1.3
### What happened:
We are unable to get Graph view of the pipe... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7225 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7225/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7225/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7225/events | https://github.com/kubeflow/pipelines/issues/7225 | 1,115,867,871 | I_kwDOB-71UM5Cgsrf | 7,225 | [feature] Should be able to set _DEFAULT_LAUNCHER_IMAGE using environment variable in notebook pod | {
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"Hi @typhoonzero, v2 compatible mode is being deprecated in the next SDK release: https://github.com/kubeflow/pipelines/issues/6829\r\n\r\nWe would have a similar launcher/driver image for v2. And we plan to version it the same way as we version the rest KFP backend images.\r\nThat being said, I'm still interested ... | 2022-01-27T07:30:08 | 2022-10-05T11:31:30 | null | NONE | null | ### Feature Area
<!-- /area sdk -->
### What feature would you like to see?
Currently the default launcher image is set using a constant: `sdk/python/kfp/compiler/v2_compat.py:_DEFAULT_LAUNCHER_IMAGE = "gcr.io/ml-pipeline/kfp-launcher:1.8.7"`, however, if we want to use a private registry when launching a pi... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7224 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7224/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7224/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7224/events | https://github.com/kubeflow/pipelines/issues/7224 | 1,115,788,949 | I_kwDOB-71UM5CgZaV | 7,224 | [bug] Unable to obtain the output of a graph component for downstream components | {
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"It looks like maybe https://github.com/kubeflow/pipelines/blob/6965dbac2faee0411fc0ca9565fd9a9d7ef8e2bf/sdk/python/kfp/dsl/_component.py#L148 is missing assigning graph_ops_group.outputs when it assigns inputs and arguments. I would love to contribute a fix but it's not clear to me where to add a unit test for thi... | 2022-01-27T05:24:27 | 2022-04-21T18:29:55 | null | NONE | null | ### What steps did you take
In a folder, created the following:
c1.yaml
```yaml
name: Dummy Component A
description: Manually Created Component Spec
inputs:
- name: Arg Input
type: String
outputs:
- name: Arg Output
type: String
implementation:
container:
image: dummy-image:1.0
co... | {
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"I solved the issue. It looks like there is a bug if you don't set up `uri_search_template` when creating the ComponentStore. \r\nI solved it by providing it as parameter, it doesn't really matter what you pass to the constructor really, but it is required because in the code there is the following\r\n```\r\nif sel... | 2022-01-26T14:09:30 | 2022-04-28T04:59:38 | null | NONE | null | Hi, I am trying to load some prebuit gcp kubeflow components using `kfp.components.ComponentStore`. However I am getting this error:
```
line 180, in _load_component_spec_in_component_ref
if self.uri_search_template:
AttributeError: 'ComponentStore' object has no attribute 'uri_search_template'
```
when a... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7215 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7215/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7215/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7215/events | https://github.com/kubeflow/pipelines/issues/7215 | 1,114,502,450 | I_kwDOB-71UM5CbfUy | 7,215 | [sdk] [question] How can I write test code for the code that uses the sdk? | {
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"/remove-kind bug",
"@zamonia500 , can you provide some details on what are you trying to test for? Are you testing a pipeline end to end? or it's more like local unit test for a component's implementation code?\r\n\r\n> This code implemented in a way that uses the methods of kfp.Client.\r\n> \r\n> And now I'm tr... | 2022-01-26T00:39:40 | 2022-02-08T23:56:49 | null | NONE | null | /kind question
### Environment
* KFP version:
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP SDK version:
```
kfp==1.8.9
```
<!-- Specify the version of Kubeflow Pipelines that you are using. The version nu... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7214 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7214/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7214/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7214/events | https://github.com/kubeflow/pipelines/issues/7214 | 1,114,420,787 | I_kwDOB-71UM5CbLYz | 7,214 | [bug] Bucket param missing when getting pipeline artifacts causing 403 in UI | {
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"Can you try using Kubeflow 1.4 (KFP 1.7)?\r\n\r\nNote that the bucket information is specified in https://github.com/kubeflow/gcp-blueprints/blob/master/kubeflow/env.sh#L44, I am able to use this feature without problem (bucket is specified in request). So there might be some bugs that have been fixed in Kubeflow ... | 2022-01-25T22:21:51 | 2022-04-28T04:59:37 | null | NONE | null | ### What steps did you take
1. Navigated to view a pipeline in the UI
2. Clicked a component to view details
3. Clicked the "Visualizations" tab
4. Saw 403 responses in the network tab in browser:
5. ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7213 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7213/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7213/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7213/events | https://github.com/kubeflow/pipelines/issues/7213 | 1,114,128,049 | I_kwDOB-71UM5CaD6x | 7,213 | [backend] Executor v2 : incorrect use of 0644 file mask when creating local dirs while retrieving artifacts from object storage ? | {
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"Fixed by the above PR."
] | 2022-01-25T16:48:15 | 2022-01-28T00:46:38 | 2022-01-28T00:46:38 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
deployed Kubeflow on a GKE cluster
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP version:
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https://api.github.com/repos/kubeflow/pipelines/issues/7204 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7204/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7204/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7204/events | https://github.com/kubeflow/pipelines/issues/7204 | 1,113,331,890 | I_kwDOB-71UM5CXBiy | 7,204 | [sdk] KFP Compiler doesn't propagate ParallelFor inputs | {
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"This is KFP v1 code, which is currently moved to deprecated folder in master branch HEAD. We're currenlty focusing on the new v2 code. And based on a similar code in [this test file](https://github.com/kubeflow/pipelines/blob/5dcc6d9910372eee0b37cf31723910ed5f6fe98e/sdk/python/kfp/compiler_cli_tests/test_data/pipe... | 2022-01-25T01:52:26 | 2022-03-15T20:03:09 | null | CONTRIBUTOR | null | ### Environment
* KFP version:
1.8.2
* KFP SDK version:
1.8.2
* All dependencies version:
```
kfp 1.8.2
kfp-pipeline-spec 0.1.13
kfp-server-api 1.3.0
```
### Steps to reproduce
Try to compile this code:
```
import kfp
from kfp.components import func_to_cont... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7201 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7201/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7201/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7201/events | https://github.com/kubeflow/pipelines/issues/7201 | 1,113,183,408 | I_kwDOB-71UM5CWdSw | 7,201 | [feature] Allow user to specify which input parameters to use in cache key | {
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"> However, each run has a unique s3_path which we sync training checkpoints to during the job, which is the only way the jobs can finish successfully. \r\n\r\nI'm not quite following this part, how is `s3_path` used in the actual training step? Maybe some minimum pseudo code would help. Can you restructure your pi... | 2022-01-24T21:58:31 | 2022-03-17T14:40:50 | 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?
Right now, the only caching customization that exists on an operator ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7196 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7196/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7196/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7196/events | https://github.com/kubeflow/pipelines/issues/7196 | 1,112,901,649 | I_kwDOB-71UM5CVYgR | 7,196 | [frontend] Unable to upload pipeline by URL in KF 1.4 | {
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"cc @annajung , looks like this is related to https://github.com/kubeflow/pipelines/pull/6291. Do you have any insight for this issue? Thank you!",
"It's been a while since I worked on the issue, so I'm getting caught up. Taking a look at this issue this week and hope to have an update PR. \r\n\r\n/assign @annaju... | 2022-01-24T16:55:12 | 2023-03-13T13:07:11 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
We're deployed in a full kubeflow installation in the platform-agnostic-multi-user configuration.
* KFP version:
1.7
### Steps to reproduce
1. Open KF Pipelines UI
2. Click "Upload Pipeline" in the upper right.
3. Fill out Name and Descri... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7194 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7194/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7194/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7194/events | https://github.com/kubeflow/pipelines/issues/7194 | 1,112,531,057 | I_kwDOB-71UM5CT-Bx | 7,194 | [feature] integrate with Lightning ecosystem CI | {
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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.\n"
] | 2022-01-24T11:36:29 | 2022-04-28T04:59:39 | null | NONE | null | Hello and so happy to see you use Pytorch-Lightning! :tada:
Just wondering if you already heard about quite the new **Pytorch Lightning (PL) ecosystem CI** where we would like to invite you to... You can check out our blog post about it: [Stay Ahead of Breaking Changes with the New Lightning Ecosystem CI](https://dev... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7193 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7193/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7193/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7193/events | https://github.com/kubeflow/pipelines/issues/7193 | 1,111,861,620 | I_kwDOB-71UM5CRal0 | 7,193 | Does Kubeflow pipelines support Sensor component? | {
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"Hi! @IronPan, What's the status? can I help somehow in planning/impl?",
"It would be great to have this feature in Kubeflow. @IronPan Any insights on it."
] | 2022-01-23T12:47:35 | 2023-01-27T23:38:53 | null | NONE | null | Sensors are a special type of Operator that are designed to do exactly one thing - wait for something to occur. It can be time-based, or waiting for a file, or an external event, but all they do is wait until something happens, and then succeed so their downstream tasks can run.
from: https://airflow.apache.org/docs... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7184 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7184/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7184/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7184/events | https://github.com/kubeflow/pipelines/issues/7184 | 1,110,597,434 | I_kwDOB-71UM5CMl86 | 7,184 | Add security context privilege in the pipeline workflow pod | {
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"I'm not sure whether it's even possible. The yaml file you're tinkering with is an Argo workflow template. Maybe reach out to them to see if it's a supported scenario?"
] | 2022-01-21T15:31:12 | 2022-02-17T23:54:36 | null | NONE | null | /securityContext on Notebooks
Hello everyone, because of the needs of the project, I want each pod in the workflow to access the files under the /dev path on the local side. I have tried adding security parameters to the yaml file of the Notebook, as shown the figure, But I still can't access the files under /dev when... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7171 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7171/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7171/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7171/events | https://github.com/kubeflow/pipelines/issues/7171 | 1,105,471,719 | I_kwDOB-71UM5B5Cjn | 7,171 | [sdk] Update absl-py requirement to accommodate future TF versions | {
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"@chensun Thank you for resolving the issue!\r\n\r\nBy the way, is there a plan to release a new version of kfp in the near future? TFX integration tests are still failing and I'm thinking about some kind of hacks to workaround the current breakage if the release will not happen shortly.",
"Yes, we plan to releas... | 2022-01-17T07:23:10 | 2022-01-25T01:53:41 | 2022-01-19T22:14:57 | CONTRIBUTOR | null | ### Environment
* KFP version:
N/A
* KFP SDK version:
1.8.10 (latest)
* All dependencies version:
N/A
### Steps to reproduce
I believe that Tensorflow is frequently used with KFP and TF and should be able to be installed together. TF updated their absl-py requirement to `>=1.0.0` recently. [setu... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7169 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7169/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7169/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7169/events | https://github.com/kubeflow/pipelines/issues/7169 | 1,105,303,745 | I_kwDOB-71UM5B4ZjB | 7,169 | [backend] discussion - resource reference in API interface considered harmful | {
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"/cc @zijianjoy @chensun @difince \r\n\r\nSharing some thoughts about current API design, what do you think?",
"@Bobgy I totally agree with all of your arguments and I could confirm that using the resource_reference was not that easy and intuitive for me as well. \r\nI have a question for case of [ getPipelineByN... | 2022-01-17T02:42:58 | 2022-04-14T14:47:36 | null | CONTRIBUTOR | null | There were some previous discussions around this topic, but let me summarize my arguments against using resource references in the public API.
## Proposal
Replace resource reference in API interface with explicit fields. For example, instead of passing resource reference for a pipeline version, we can just have a... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7163 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7163/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7163/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7163/events | https://github.com/kubeflow/pipelines/issues/7163 | 1,100,850,362 | I_kwDOB-71UM5BnaS6 | 7,163 | Recommended way to use Tensorboard in a pipelines run | {
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"Per our doc, your option 1 seems to be our recommendation: https://www.kubeflow.org/docs/components/pipelines/sdk/output-viewer/#tensorboard",
"Have you been able to get the viewer linked to the component? I'm able to generate the artifact named \"mlpipeline_ui_metadata\" as explained in the docs\r\n![image](htt... | 2022-01-12T22:29:06 | 2023-01-25T04:49:27 | null | NONE | null | Hi,
I'm currently wondering what is the recommended way to include Tensorboard **inside** a pipeline run.
For non-pipeline tb I followed a minimal example that trains mnist on a notebook server --> https://www.youtube.com/watch?v=eMDF2Bk8YRY which works good!
For pipelines I currently feel that there are two opt... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7162 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7162/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7162/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7162/events | https://github.com/kubeflow/pipelines/issues/7162 | 1,100,188,167 | I_kwDOB-71UM5Bk4oH | 7,162 | Minor security flaws detected by OWASP scan | {
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"@bix709 Kubeflow 1.2.0, KFP 1.0.4 is kinda old, can you try on the latest version and see if the issue still exists?\r\n",
"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.\n"
] | 2022-01-12T10:51:42 | 2022-04-17T06:27:21 | null | NONE | null | What steps did you take:
Hey, I ran OWASP scan on kubeflow central dashboard and KFP to see if there are any security flaws I should take to the consideration before going to production with our kubeflow instance.
What happened:
OWASP findings:
- Missing X-Frame-Options header
```
The X-Frame-Options he... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7160 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7160/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7160/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7160/events | https://github.com/kubeflow/pipelines/issues/7160 | 1,098,534,456 | I_kwDOB-71UM5Bek44 | 7,160 | [feature] to_csv in google_cloud_pipeline_components's bigquery operators | {
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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.\n",
"I think a good way to solve the problem is modifying the component to receive `JobConfigurationExtract`. Current component can receive ... | 2022-01-11T00:49:54 | 2022-05-05T04:30:25 | null | NONE | null | ### Feature Area
<!-- /area sdk -->
<!-- /area components -->
### What feature would you like to see?
Google cloud pipeline components (https://github.com/kubeflow/pipelines/tree/master/components/google-cloud/google_cloud_pipeline_components) is missing an operator to export a bigquery query result to CSV. This ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7158 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7158/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7158/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7158/events | https://github.com/kubeflow/pipelines/issues/7158 | 1,098,450,211 | I_kwDOB-71UM5BeQUj | 7,158 | minio Express webserver doesn't specify character encoding | {
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"/cc @zijianjoy ",
"I don't seem to reproduce the issue. Maybe it is because I don't understand it fully yet. Do you have an example pipeline I can run and inspect the logs for difference?",
"@zijianjoy The issue is specifically with non-ascii characters. In our case, we have some logs that emit the emoji: ⏳\r\... | 2022-01-10T22:23:17 | 2022-02-17T04:17:54 | null | CONTRIBUTOR | null | ### What steps did you take
- Click on a task on the KFP run page.
- On the Input/Output tab, click the minio:// link for `main-logs` to view raw logs.
### What happened:
The logs file is served from the minio Express webserver without any character encoding header. This causes any non-ascii UTF-8 characters ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7157 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7157/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7157/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7157/events | https://github.com/kubeflow/pipelines/issues/7157 | 1,098,432,660 | I_kwDOB-71UM5BeMCU | 7,157 | [feature] Improve frontend CSS for task display name overflow | {
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"/cc @zijianjoy ",
"Hello @jli , thank you so much for the feature request! I agree that this can improve user experience, feel free to contribute since you have already tried the CSS style. Also, if you hover over to the node, you can see the full name from your mouse.",
"This issue has been automatically mark... | 2022-01-10T22:02:57 | 2022-04-19T07:26:59 | null | CONTRIBUTOR | null | ### Feature Area
/area frontend
### What feature would you like to see?
Change the task display name CSS overflow properties so that long task names don't get truncated.
### What is the use case or pain point?
We have somewhat longer task display names, which map to functions in our codebase (so that i... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7154 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7154/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7154/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7154/events | https://github.com/kubeflow/pipelines/issues/7154 | 1,096,931,488 | I_kwDOB-71UM5BYdig | 7,154 | How does kubuflow pipeline retry_run know where to start? | {
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"I'm not familiar with this, not sure if it's an implementation detail in k8s or Argo workflow.\r\n\r\nIf anyone knows, please feel free to chime in. "
] | 2022-01-08T13:43:22 | 2022-02-17T23:43:39 | null | NONE | null | At first, I think kubeflow runs know where to start with the status of all the existed pipeline pods.
However, I try to `terminate_run` and delete some `Completed` pipeline pods, then use `retry_run` to restart the run. Surprisingly, the retried run can still start at the right checkpoint.
I guess some states are... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7148 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7148/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7148/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7148/events | https://github.com/kubeflow/pipelines/issues/7148 | 1,096,599,334 | I_kwDOB-71UM5BXMcm | 7,148 | [frontend] Unable to build frontend image because of `postcss` module not found | {
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```
Step #2 - "frontend": [0m[91mCannot find module 'postcss'
Step #2 - "frontend": Require stack:
Step #2 - "frontend": - /root/.npm/_npx/31/lib/node_modules/tailwindcss/lib/lib/generateRules.js
Step #2 - ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7142 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7142/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7142/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7142/events | https://github.com/kubeflow/pipelines/issues/7142 | 1,094,780,059 | I_kwDOB-71UM5BQQSb | 7,142 | 01/05/2022 Presubmit kubeflow-pipelines-tfx-python37 failure | {
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"Pending the following change in tensorflow_transform being picked up by TFX:\r\n\r\nhttps://github.com/tensorflow/transform/commit/e5e0560e092b3ba66138f2250cc31716c5405081#diff-be77950e10f2a3497862328c336509a3dc956d4b90bb81ae8c17f8e050e1a2b7"
] | 2022-01-05T22:02:54 | 2022-01-06T00:11:26 | 2022-01-06T00:11:26 | COLLABORATOR | null | https://oss-prow.knative.dev/view/gs/oss-prow/pr-logs/pull/kubeflow_pipelines/7112/kubeflow-pipelines-tfx-python37/1478839808884215808
```
2022-01-05 21:32:19.957501: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Traceback (most re... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7140 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7140/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7140/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7140/events | https://github.com/kubeflow/pipelines/issues/7140 | 1,094,058,636 | I_kwDOB-71UM5BNgKM | 7,140 | [backend] Importing workflow yaml file is not creating container in Azure | {
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"cc @aronchick ",
"Possible related: https://github.com/kubeflow/pipelines/issues/5714. Please switch to emissary executor if you are on K8s 1.19 or above.",
"Thanks for the feedback. We've run the following command to convert to emissary executor and got confirmation on the changes as well - \r\nkubectl patch ... | 2022-01-05T07:26:51 | 2022-04-18T23:26:50 | null | NONE | null | ### Environment - Kubeflow is deployed in Azure Kubernetes Service
* KFP version: build version v1beta1
### Steps to reproduce
1. installed kubeflow SDK
2. Created a workflow using a sample repo (https://github.com/FernandoLpz/Kubeflow_Pipelines.git)
3. Created docker image and pushed the same to ACI (Azure Co... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7135 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7135/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7135/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7135/events | https://github.com/kubeflow/pipelines/issues/7135 | 1,092,048,123 | I_kwDOB-71UM5BF1T7 | 7,135 | [bug] pipeline_manifest not returned by the api | {
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"> I expected both the pipeline_manifest and workflow_manifest properties to be returned as part of the apiPipelineRuntime Object.\r\n\r\n@jynx10 why would you expect this, is this the behavior in some old version?\r\n\r\nJust by looking at the code, it seems to be by design that only one of them is returned, and `... | 2022-01-02T15:59:21 | 2022-04-18T17:26:53 | null | NONE | null | ### What steps did you take
Sent a request to find a specific run by id (to the /apis/v1beta1/runs/{run_id} endpoint).
### What happened:
In the response I received only the workflow_manifest property.
### What did you expect to happen:
I expected both the pipeline_manifest and workflow_manifest properties t... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7133 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7133/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7133/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7133/events | https://github.com/kubeflow/pipelines/issues/7133 | 1,091,936,408 | I_kwDOB-71UM5BFaCY | 7,133 | [backend] Use SDK Client get 500 Internal error: Unauthenticated: Request header error: there is no user identity header.: Request header error: there is no user identity header.\nFailed to authorize with API resource references\ngithub.com/kubeflow/pipelines/backend/src/common/util.Wrap\n\t/go/src/github | {
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"You're on multi-user mode, and as called out in the last paragraph in https://www.kubeflow.org/docs/components/pipelines/sdk/connect-api/#connect-to-kubeflow-pipelines-from-outside-your-cluster:\r\n\r\n> for Kubeflow Pipelines in multi-user mode, you cannot access the API using kubectl port-forward because it re... | 2022-01-02T02:27:59 | 2023-04-29T15:26:35 | null | NONE | null | ### Environment
Install follow https://github.com/kubeflow/manifests in v1.4.1
KFP version: 1.7.0
KFP SDK version: build version dev_local
k3s Kubernetes 1.19
### Steps to reproduce
use demo example to add pipline
kfp 1.8.10
kfp-pipeline-spec 0.1.13
kfp-server-api ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7132 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7132/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7132/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7132/events | https://github.com/kubeflow/pipelines/issues/7132 | 1,091,837,023 | I_kwDOB-71UM5BFBxf | 7,132 | [backend] Pipeline first step stuck in running state even after completing | {
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"Using the pns executor instead makes everything work as described [here](https://github.com/kubeflow/manifests#kubeflow-pipelines)\r\n\r\n`kustomize build apps/pipeline/upstream/env/platform-agnostic-multi-user-pns | kubectl apply -f -`\r\n\r\nSo I assume I made a mistake in my Docker setup? Although not much abou... | 2022-01-01T15:25:11 | 2023-04-12T13:15:19 | 2022-04-13T17:17:43 | NONE | null | Hey, hope this is the right place to post this issue at. I'm new to Kubeflow and Kubernetes so please let me know what else would be useful to know.
### Environment
* How did you deploy Kubeflow Pipelines (KFP): Installed Kubeflow on Kubernetes 1.19 with manifests, see below
* KFP version: 1.7.0
* KFP SDK ve... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7131 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7131/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7131/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7131/events | https://github.com/kubeflow/pipelines/issues/7131 | 1,091,732,276 | I_kwDOB-71UM5BEoM0 | 7,131 | [backend] Failed to execute component: unable to get pipeline with PipelineName | {
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"> KFP SDK version: build version dev_local\r\n\r\nWe have dropped v2 compatible mode support from master branch. \r\n\r\nI'd suggest you try non v2 compatible mode or try v2 on Vertex Pipelines.",
"I have also the same issue with v2 on KubeFlow Pipelines 1.7.0 with KubeFlow 1.4.0 Manifest On-prem installation.\r... | 2022-01-01T03:54:37 | 2023-07-11T06:53:14 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Install follow https://github.com/kubeflow/manifests in v1.4.1
KFP version: 1.7.0
KFP SDK version: build version dev_local
k3s Kubernetes 1.19
### Steps to reproduce
use demo example to add pipline
kfp 1.8.10
kfp-p... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7129 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7129/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7129/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7129/events | https://github.com/kubeflow/pipelines/issues/7129 | 1,090,966,892 | I_kwDOB-71UM5BBtVs | 7,129 | Unable to attach or mount volumes: unmounted volumes=[mlpipeline-minio-artifact], unattached volumes=[podmetadata docker-sock mlpipeline-minio-artifact default-editor-token-8lmfr]: timed out waiting for the condition | {
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"finally I find that the pipeline job is in the A namespace and the **mlpipeline-minio-artifact** is in kubeflow namespace.I don't know why.",
"Possibility related https://github.com/kubeflow/pipelines/issues/4649. \r\n\r\nWhat is the Kubernetes version you are running on, and what is the executor you are using? ... | 2021-12-30T09:00:22 | 2023-01-02T22:11:20 | null | NONE | null | kubectl version
```
[root@iZ1bb01rvtheuakv3h25ntZ ~]# kubectl version
Client Version: version.Info{Major:"1", Minor:"19", GitVersion:"v1.19.5+k3s2", GitCommit:"746cf4031370f443bf1230272bc79f2f72de2869", GitTreeState:"clean", BuildDate:"2020-12-18T01:41:55Z", GoVersion:"go1.15.5", Compiler:"gc", Platform:"linux/amd64... | {
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"Nevermind, using `dataset.uri` directly instead of `dataset.path` doesn't cause any issue."
] | 2021-12-29T18:41:38 | 2021-12-30T15:26:43 | 2021-12-30T15:26:43 | NONE | null | ### Feature Area
In our team, we like to implement components in such way that they can be executed both locally directly as a function (e.g. in a notebook) and as part of a KFP pipeline (e.g. on Vertex).
Ideally we would love to use the `Input` and `Output` artifacts and call the function behind our component, l... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7127 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7127/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7127/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7127/events | https://github.com/kubeflow/pipelines/issues/7127 | 1,090,483,923 | I_kwDOB-71UM5A_3bT | 7,127 | [ray cluster] Problem using RayCluster within Kubeflow Pipelines | {
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"In the pipeline, you may want to call `run_dask_on_ray_op ` instead of `ray_run_func` which will immediately evaluate the code at compilation time",
"@yuhuishi-convect Thanks for finding my mistake. Fixing it worked like a charm and now it both compiles and runs successfully on the Cluster. Thank you!"
] | 2021-12-29T12:21:03 | 2021-12-30T12:09:06 | 2021-12-30T12:09:06 | NONE | null | Hi,
I am struggling a bit with my settings to make my kf-pipeline run. Settings are as follows: I have a k8s cluster deployed on remote VM where the full kubeflow and Ray Cluster are deployed. I ran successfully a simple example with kfp, but now I am trying to create a pipeline using Ray inside one of the component... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7124 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7124/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7124/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7124/events | https://github.com/kubeflow/pipelines/issues/7124 | 1,090,036,368 | I_kwDOB-71UM5A-KKQ | 7,124 | [backend] Envoy metadata pod is exposing admin interface | {
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"cc @chensun .\r\n",
"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.\n"
] | 2021-12-28T17:33:11 | 2022-04-17T06:27:33 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Install Kubeflow Pipelines 1.7.0 (standalone mode) with kustomize.
### Steps to reproduce
Get metadata-envoy-deployment pod IP address:
```
kubectl -n kubeflow get pod metadata-envoy-deployment-5b4856dd5-bd88x -o wide
NAME ... | {
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"```python\r\ntrainer_task.custom_job_spec = {\r\n ...\r\n}\r\n```\r\nThis was an experimental implementation, and it has been dropped post KFP SDK 1.8 release (deleted from master branch). \r\nCan you please try the replacement version, which is a component from [a separate Python package](https://pypi.org/project... | 2021-12-28T17:00:29 | 2022-01-11T19:46:40 | 2022-01-11T19:46:29 | NONE | null | According to the documentation [here](https://cloud.google.com/vertex-ai/docs/experiments/tensorboard-training#create_a_custom_training_job), `Vertex Tensorboard` can be configured for a custom job on Vertex by settings `custom_job.job_spec.tensorboard`. However, it seems incompatible with an execution of the task on `... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7120 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7120/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7120/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7120/events | https://github.com/kubeflow/pipelines/issues/7120 | 1,089,619,135 | I_kwDOB-71UM5A8kS_ | 7,120 | [pH] migrate e2e test to v2 sample test-like infra | {
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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.\n",
"/lifecycle frozen"
] | 2021-12-28T05:17:13 | 2023-04-04T17:35:43 | 2023-04-04T17:35:43 | CONTRIBUTOR | null | Migrate kubeflow-pipeline-e2e-test to use v2 sample test-like infra.
Potentially related issues:
* https://github.com/kubeflow/pipelines/issues/6168 should be added to e2e test
## Why?
Improves test maintainability, because
* Remove [the last dependency](https://github.com/kubeflow/pipelines/blob/ca6e05591d9... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7119 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7119/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7119/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7119/events | https://github.com/kubeflow/pipelines/issues/7119 | 1,089,581,536 | I_kwDOB-71UM5A8bHg | 7,119 | [backend] Support Protobuf.Value in KFP backend API for `Create Run` | {
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However, Pipeline Spec has adopted Protobuf.Value, as in https://github.com/capri-xiyue/pipelines/blob/d68b8ac792a23211316b... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7110 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7110/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7110/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7110/events | https://github.com/kubeflow/pipelines/issues/7110 | 1,087,856,380 | I_kwDOB-71UM5A1178 | 7,110 | [frontend] Missing the left-side menu bar in KFP UI v1.7.1 | {
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"Hello @daikeshi , I am wondering how do you install the Kubeflow OSS? The KFP UI is hidden because it detects the existence of Central dashboard, if Central dashboard exists, Pipelines related left nav items are merged to Central dashboard. But I don't see the central dashboard from your screenshot, maybe you can ... | 2021-12-23T16:36:31 | 2022-01-07T00:41:20 | 2022-01-07T00:41:20 | CONTRIBUTOR | null | After we upgraded KFP and its UI image version from 1.3 to 1.7.1, we noticed that the left-side menu bar is missing in KFP UI v1.71. Is there any way we can bring it back? Thanks
### Environment
* How did you deploy Kubeflow Pipelines (KFP)? It's deployed via OSS Kubeflow stack
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"Hello @wybaron , we don't support k8sapi executor, please switch to emissary executor: https://github.com/kubeflow/pipelines/issues/5714",
"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.\... | 2021-12-22T13:14:09 | 2022-04-21T00:29:38 | 2022-04-21T00:29:38 | NONE | null | Run Experiments
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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.\n"
] | 2021-12-22T06:29:43 | 2023-01-18T08:20:17 | 2023-01-18T08:20:17 | CONTRIBUTOR | null | Follow up of https://github.com/kubeflow/pipelines/issues/6199
* [x] https://github.com/kubeflow/pipelines/issues/6171 | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7096 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7096/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7096/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7096/events | https://github.com/kubeflow/pipelines/issues/7096 | 1,085,617,118 | I_kwDOB-71UM5AtTPe | 7,096 | test: error: deployment "ml-pipeline" exceeded its progress deadline | {
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"Here's what I tried to debug the issue, but cannot figure out why:\r\n* connecting into a test cluster and confirmed that connectivity from any in-cluster pod to the mysql service is broken by `kubectl run -it -n kubeflow --rm --image=mysql:8.0.12 --restart=Never mysql-client -- mysql -h mysql`\r\n* create a clust... | 2021-12-21T09:26:35 | 2021-12-22T00:37:58 | 2021-12-22T00:37:57 | CONTRIBUTOR | null | All sample/e2e tests are failing with either
* metadata-grpc deployment cannot rollout
* ml-pipeline deployment cannot rollout
because of connection timeout to the in-cluster mysql DB.
Test log: https://oss-prow.knative.dev/view/gs/oss-prow/pr-logs/pull/kubeflow_pipelines/7092/kubeflow-pipeline-e2e-test/1473214... | {
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