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https://api.github.com/repos/kubeflow/pipelines/issues/5689 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5689/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5689/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5689/events | https://github.com/kubeflow/pipelines/issues/5689 | 895,030,297 | MDU6SXNzdWU4OTUwMzAyOTc= | 5,689 | [Samples] Add v2 compatible built-in samples | {
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"/assign @james-jwu ",
"Found a bug, in 1.7.0-rc.2 release, the builtin sample is broken.\r\nI think root cause is that, the builtin samples are built using master version of SDK. Master version of v2 compatible SDK is not usable, because the SDK is in master, but the launcher image is pinned to last released ver... | 2021-05-19T06:12:31 | 2021-08-05T01:53:18 | 2021-08-05T01:53:18 | CONTRIBUTOR | null | {
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"/assign @chensun "
] | 2021-05-19T06:10:03 | 2021-05-31T20:39:04 | 2021-05-31T20:39:04 | CONTRIBUTOR | null | Here's what I currently get when using v2 lwt components in KFP v1. This can be a common mistake when we start to build v2 only pipelines. So I think it's worth making it more readable.
```
Traceback (most recent call last):
File "/tmp/tmp.Kc1muRYxPb", line 716, in <module>
executor_main()
File "/tmp/tmp... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5687 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5687/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5687/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5687/events | https://github.com/kubeflow/pipelines/issues/5687 | 895,027,550 | MDU6SXNzdWU4OTUwMjc1NTA= | 5,687 | [Samples] update all core samples to avoid container op | {
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"/assign",
"Hi @difince, if you are looking for issues to contribute, this would be my recommendation. (It can be several PRs too)\r\n\r\nFeel free to reject based on your own interests.",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further ... | 2021-05-19T06:08:05 | 2022-03-03T04:05:15 | 2022-03-03T04:05:15 | CONTRIBUTOR | null | context: https://github.com/kubeflow/pipelines/pull/4166
remaining occurrences: https://github.com/kubeflow/pipelines/search?p=2&q=containerop+path%3Asamples%2Fcore | {
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"TODO:\r\n* [ ] document sample folder structure in samples/README.md\r\n* [ ] check samples, mark those only run on v1 with comments\r\n* [ ] check samples, mark those only run on v2 with v2_ in example name, or move into v2 folder.\r\n* [ ] move some v2 samples from samples/test folder to v2 folder",
"This issu... | 2021-05-19T06:06:46 | 2022-03-03T02:05:30 | null | CONTRIBUTOR | null | Propose using the following convention to organize samples:
* all core samples are by default compatible with both v1 and v2.
* samples that only run on v2 should be added either in samples/v2/core folder, or next to a corresponding v1 sample and have a v2 suffix, e.g. exit_handler_v2.py
* core samples that do not... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5685 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5685/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5685/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5685/events | https://github.com/kubeflow/pipelines/issues/5685 | 895,025,273 | MDU6SXNzdWU4OTUwMjUyNzM= | 5,685 | [Launcher] presubmit unit tests | {
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"Recommend using https://github.com/kubeflow/pipelines/blob/master/test/presubmit-backend-test.sh as a reference"
] | 2021-05-19T06:04:05 | 2021-06-08T05:37:53 | 2021-06-08T05:37:53 | CONTRIBUTOR | null | https://github.com/kubeflow/pipelines/tree/master/v2
this should run:
* go mod tidy
* go test ./... (including tests that use an one-off MLMD local server) | {
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"/assign @chensun ",
"Should have been covered by https://github.com/kubeflow/pipelines/pull/5759"
] | 2021-05-19T06:00:46 | 2021-06-08T00:22:40 | 2021-06-08T00:22:40 | CONTRIBUTOR | null | https://github.com/kubeflow/pipelines/blob/f757a8842fd6d1ed3d37ab38c0707d127ea2048c/samples/core/exit_handler/exit_handler_test.py#L24-L34
download_gcs component has input type 'GCS Path', it has a cryptic error message when the input is passed a string parameter:
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"@Bobgy, I am a new contributor looking for my first issue. \r\nCould I work on this ? ",
"Thank you @difince ! Yes, this is suitable for first time contributor.\n\nThe desired change is to review all pipelines in samples folder, if they have @pipeline annotation, change the pipeline name to only contain lowerca... | 2021-05-19T05:59:19 | 2021-05-24T07:36:32 | 2021-05-24T07:36:32 | CONTRIBUTOR | null | Good: "my-pipeline"
Bad: "my_pipeline"
No underscores, spaces etc special characters. | {
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"I think this would be a great step forward in terms of making it possible to easy run any type of web app with Kubeflow. The example resource from above would need some additional values of course, such as resource limits and requests, etc. Another important value that needs to be added is a `type` classification,... | 2021-05-19T03:34:34 | 2022-03-03T03:05:25 | 2022-03-03T03:05:25 | CONTRIBUTOR | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
/area backend
<!-- /area sdk -->
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
<!-- Provide a description of this feature and the user experience. -... | {
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"/assign @Bobgy ",
"I'm trying to run v2 compatible pipeline on full Kubeflow, as expected, it fails when uploading to minio storage:\r\n```\r\nF0519 07:16:43.219511 1 main.go:56] Failed to execute component: failed to upload output artifact \"output_dataset_one\" to remote storage URI \"minio://mlpipeline/... | 2021-05-19T00:03:28 | 2021-09-25T05:51:25 | 2021-09-25T05:51:25 | CONTRIBUTOR | null | UPDATE:
PRs have been written:
* https://github.com/kubeflow/pipelines/pull/5697
* https://github.com/kubeflow/pipelines/pull/5750
* https://github.com/kubeflow/gcp-blueprints/pull/284
===
This issue tracks efforts to make [v2 compatible pipelines](https://www.kubeflow.org/docs/components/pipelines/sdk/v2/) r... | {
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"/assign @zijianjoy ",
"@zijianjoy I want to propose a few more changes:\r\n* [ ] artifact names in ML Metadata tab is empty\r\n \r\n* [ ] Hide ML Metadata tab from pipeline node details, because useful... | 2021-05-18T14:28:43 | 2021-07-01T00:10:23 | 2021-07-01T00:10:23 | CONTRIBUTOR | null | Starting from v2 compatible mode, all the KFP semantics information should be available in MLMD.
Therefore, now we can start to render KFP UI in argo agnostic ways.
This is an umbrella issue to find out things we can improve under this theme.
Known issues:
* [x] https://github.com/kubeflow/pipelines/issues/56... | {
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"@Bobgy I am new contributor, looking for my first issue .. Could I work on this one ? \r\nAs I understand a new rest endpoint need to be added ? ",
"Hi @difince, this issue is too complex as first issue, because it also includes designing spec for the rest endpoint",
"Thank you for the response @Bobgy ",
"T... | 2021-05-18T14:25:20 | 2022-03-09T01:48:25 | null | CONTRIBUTOR | null | Umbrella issue, this tracks
1. coming up with a standard spec that describes pipeline run results for all the engines, e.g. we now have Argo, Tekton and Vertex AI pipelines.
1. implement REST API for this spec | {
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"It's possible to specify the user that the container should run under. Backend can auto-set that on all containers.",
"@Ark-kun do you mean our backend sets all containers to run as root by default?",
"@Bobgy What is the plan to support non-root containers ? it is difficult to do any PoC with V2 in an enterpri... | 2021-05-18T14:24:29 | 2022-07-02T00:37:30 | null | CONTRIBUTOR | null | Currently, because the launcher writes input artifacts to paths like:
* `/gcs/xxx`
* `/minio/xxx`
* `/s3/xxxx`
These paths are not accessible by non-Root users by default.
When using a component with non-Root image, launcher fails when preparing input/output artifacts.
Because `/gcs/xxx` is currently a co... | {
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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",
"This issue has been automatically closed because it has not had recent activity. Please comment \"/reopen\" to reopen it.\n"
] | 2021-05-18T14:18:30 | 2022-03-03T06:05:13 | 2022-03-03T06:05:13 | CONTRIBUTOR | null | As explained in https://github.com/kubeflow/pipelines/issues/5671, we cannot know if an artifact is used by local path in v2 python components.
So we need to figure out how we can know that first and then skip downloading unneeded artifacts. | {
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"/assign @capri-xiyue ",
"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",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed ... | 2021-05-18T14:15:41 | 2022-04-17T07:27:19 | null | CONTRIBUTOR | null | For v1 components, we can rely on artifact placeholders to understand whether one artifact is used via InputUri or InputPath. Only the input artifacts consumed by InputPath need to be downloaded.
For v2 python components, we cannot distinguish at the moment. We can distinguish v2 python components by checking if the... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5670 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5670/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5670/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5670/events | https://github.com/kubeflow/pipelines/issues/5670 | 894,428,715 | MDU6SXNzdWU4OTQ0Mjg3MTU= | 5,670 | [UI] inputs/outputs tab in KFP semantics | {
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"/assign @zijianjoy ",
"### Current INPUT/OUTPUT tab\r\n\r\nRender Input Parameters, Input Artifacts, Output Parameters, Output Artifacts.\r\n\r\nThey are read from Workflow object.\r\n\r\n### Use MLMD\r\n\r\nBased on execution, we can find a list of events to identify artifact and input/output for this execution... | 2021-05-18T14:11:11 | 2021-06-25T04:55:53 | 2021-06-25T04:55:53 | CONTRIBUTOR | null | KFP Inputs/Outputs tab in run details page is currently very coupled to argo.
For v2 compatible pipelines, we can use information from MLMD to render the Inputs/Outputs tab in KFP semantics. | {
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"/assign @capri-xiyue ",
"b/187556737",
"One problem I found from https://github.com/kubeflow/pipelines/issues/5668, is that\r\n\r\nhttps://github.com/kubeflow/pipelines/blob/89364315e96ca0e14106ef178336f72265a8e91a/samples/test/metrics_visualization_v2.py#L62\r\nFor now, we log a custom property called \"accur... | 2021-05-18T14:04:19 | 2021-07-26T11:57:21 | 2021-07-20T05:26:15 | CONTRIBUTOR | null | TODOs:
* [x] Design, figure out the exact list of items we need to change (size/M)
Known work items:
* [x] https://github.com/kubeflow/pipelines/issues/5788 (size/XS)
* [x] https://github.com/kubeflow/pipelines/pull/5842
* [x] #5789 (size/S)
* [x] [v2compat] remove redundant fields “pipeline_name”,... | {
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"b/186482243",
"/assign @zijianjoy ",
"Do we visualize HTML, Markdown, Tensorboard in the new visualization tab?",
"> Do we visualize HTML, Markdown, Tensorboard in the new visualization tab?\n\nYes, they are tracked in a different issue in P1.",
"We might need to update documentation https://www.kubeflow.o... | 2021-05-18T12:33:37 | 2023-01-14T15:15:38 | 2021-06-28T06:10:11 | CONTRIBUTOR | null | components can output metrics artifacts that are rendered in UI.
Sample pipeline: https://github.com/kubeflow/pipelines/blob/89364315e96ca0e14106ef178336f72265a8e91a/samples/test/metrics_visualization_v2.py
TODOs:
* [x] ~~add MLMD state verification of this pipeline: https://github.com/kubeflow/pipelines/blob/8936... | {
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"/assign @capri-xiyue ",
"Needs further TODO item break down",
"Hi @Bobgy do you have the following in mind ? https://github.com/kubeflow/pipelines/issues/5509\r\nOr will there be a native way such that deleting runs from the pripelines webinterface will also delete the artifacts from minio and make the cacher ... | 2021-05-18T12:25:56 | 2021-08-20T08:40:11 | 2021-08-20T08:40:11 | CONTRIBUTOR | null | internal tracker: b/181133870
Work Items estimate:
* [x] #5726 (size/L)
* [x] #5816 (size/M)
* [x] #5817(size/M)
* [x] #5818(size/S)
* [x] #5819 (size/M)
* [x] #5820 (size/M)
* [x] #5977
total: 4w, 1d for SDK team | {
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"/assign @chensun \r\nfor SDK\r\n/assign @zijianjoy \r\nfor UI",
"I'd really like to see `mlpipeline-ui-metadata` gone in the future.\r\nBut first there needs to be an alternative to it.\r\nSupporting \"type-based visualizations\" and \"visualizations as components\" will provide a better alternative.",
"@Ark-k... | 2021-05-18T12:24:08 | 2022-03-02T21:50:58 | 2022-03-02T21:50:58 | CONTRIBUTOR | null | support v1 visualizations:
https://www.kubeflow.org/docs/components/pipelines/sdk/output-viewer/
Changes needed:
* [x] Doc: update https://kubeflow.org/docs/components/pipelines/sdk/output-viewer/ according to https://www.kubeflow.org/docs/components/pipelines/sdk/pipelines-metrics/
* [x] https://github.com/kubef... | {
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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",
"This issue has been automatically closed because it has not had recent activity. Please comment \"/reopen\" to reopen it.\n"
] | 2021-05-18T09:14:03 | 2022-03-03T04:05:38 | 2022-03-03T04:05:38 | NONE | null | ### Environment
* KFP version:
* KFP SDK version: 1.6.0.rc0
* All dependencies version:
### Steps to reproduce
Within a Kubeflow Jupyter notebook, create a v2 pipeline. It seems json file should be provided when compiling using Compiler().compile method
Upload json file to Kubeflow 1.3 pipeline U... | {
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"Do any other pipelines run successfully?",
"I had the same issue (with a custom pipeline), this started to happen after i launched a large number of runs and i had to stop the workloads from the GKE panel because the Kubeflow Pipelines dashboard wasnt responding.\r\n\r\nRight now i cant run any kind of pipeline,... | 2021-05-18T03:15:42 | 2021-05-21T03:10:04 | 2021-05-21T03:10:04 | NONE | null | ### What steps did you take
Tried out the default kubeflow pipeline for TFX taxi prediction model in GCP marketplace Kubeflow pipeline version 1.4.1
<!-- A clear and concise description of what the bug is.-->
### What happened:
The error message for the csvexamplegen step is as follows.
This step is in Err... | {
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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",
"This issue has been automatically closed because it has not had recent activity. Please comment \"/reopen\" to reopen it.\n"
] | 2021-05-17T13:08:33 | 2022-03-03T04:05:36 | 2022-03-03T04:05:36 | NONE | null | ### Environment
* KFP version:
* KFP SDK version: 1.0.4
* All dependencies version:
kfp (1.4.0)
kfp-pipeline-spec (0.1.7)
kfp-server-api (1.4.1)
### Steps to reproduce
```
client = kfp.Client()
run_result = client.create_run_from_pipeline_func(ml_pipeline,
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"Sorry for the slow response on this, but I can confirm that `go-cloud` supports IAM Roles for Service Accounts in order to access objects on S3.\r\n\r\nSupport was added with this PR: https://github.com/google/go-cloud/pull/2773\r\n\r\nI've also tested it independently. The IAM role needs to be attached to a Serv... | 2021-05-17T06:48:46 | 2022-04-26T15:17:17 | null | CONTRIBUTOR | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
/area backend
<!-- /area sdk -->
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
<!-- Provide a description of this feature and the user experience. -... | {
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"You can follow the `deploy ml-pipeline-ui to support tensorboard viewer` in https://github.com/kubeflow/pipelines/blob/master/docs/config/volume-support.md to mount this volume for tensorboard. Note that this feature is in alpha phase, so it might not be stable.",
"> You can follow the `deploy ml-pipeline-ui to ... | 2021-05-17T01:18:53 | 2021-05-21T10:33:34 | 2021-05-21T10:33:34 | NONE | null | ### What steps did you take
Hi, I create a volume named 'nfs', and amount to the training pod in the pipeline. And training code generate tensorboard dir in the amount dir. But when I go to look tensorboard view, get error:
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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/. -->
* KFP version:
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https://api.github.com/repos/kubeflow/pipelines/issues/5651 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5651/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5651/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5651/events | https://github.com/kubeflow/pipelines/issues/5651 | 892,457,235 | MDU6SXNzdWU4OTI0NTcyMzU= | 5,651 | [feature] Add PVC File Browser to Viewer CRD | {
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"👍🏽\r\nThis will come in very handy for my users!!",
"This would also be very helpful for us. Especially when trying to figure out which PVCs can be safely cleaned up.",
"Looks great! Really handy feature and very much in line with the sort of functionality our our clients are looking for. What would need hap... | 2021-05-15T14:34:04 | 2022-03-03T06:05:09 | 2022-03-03T06:05:09 | CONTRIBUTOR | null | ### Feature Area
/area backend
### What feature would you like to see?
Add a `PVC Viewer`/`File Browser` spec to the Viewer controller.
### What is the use case or pain point?
This feature would allow people to launch a "File Browser" pod, which allows them to easily drag and drop files into a PVC or downl... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5640 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5640/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5640/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5640/events | https://github.com/kubeflow/pipelines/issues/5640 | 890,462,450 | MDU6SXNzdWU4OTA0NjI0NTA= | 5,640 | No experiment gets created by kfp.Client() | {
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"Can you please try some other `Client` methods like list_runs?\r\nThere might be auth error.",
"I executed `client.list_runs()`, where I defined `client` object in my first message, and I got the following result:\r\n`{'experiments': None, 'next_page_token': None, 'total_size': None}`\r\n\r\nWhen I executed `cli... | 2021-05-12T20:33:19 | 2022-10-06T19:44:08 | null | NONE | null | Hi,
I've deployed Kubeflow onto an AWS EKS cluster. I tried to create and run Kubeflow pipeline using notebook UI inside Kubeflow cluster. However, no experiment gets created. I followed the example in https://www.kubeflow.org/docs/components/pipelines/sdk/build-pipeline/ to build the pipeline. Furthermore, I followed... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5638 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5638/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5638/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5638/events | https://github.com/kubeflow/pipelines/issues/5638 | 889,576,543 | MDU6SXNzdWU4ODk1NzY1NDM= | 5,638 | [frontend] File format / path of the TFX artifacts from TFDV should be updated | {
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"FYI, @1025kb ",
"Still same",
"@zijianjoy did you already fix this in your recent PR?",
"Yes the change has been applied in https://github.com/kubeflow/pipelines/pull/6061/files#diff-388538ba7580c2729c010006b01837a9dbf9a04702c185970d025ab5dbcd22ba."
] | 2021-05-12T03:32:12 | 2021-07-19T06:11:37 | 2021-07-19T06:11:37 | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)? - GCP Cloud AI Pipelines
* KFP version: 1.4.1
### Steps to reproduce
1. Use TFX taxi template to create a pipeline
2. Add StatisticsGen component and run the pipeline.(Step 5)
3. Click "Visualizations" of `StatisticsGen` component after the ru... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5635 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5635/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5635/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5635/events | https://github.com/kubeflow/pipelines/issues/5635 | 887,835,576 | MDU6SXNzdWU4ODc4MzU1NzY= | 5,635 | New kfp sdk release (1.5.0) | {
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"\"We're planning an SDK release this week. Probably have an RC version out mid-week at least.\"\r\nFrom: https://github.com/kubeflow/pipelines/issues/5254#issuecomment-835991598",
"Thank you! I see it's been released now"
] | 2021-05-11T16:40:01 | 2021-05-25T13:41:11 | 2021-05-25T13:41:11 | NONE | null | The new use_k8s_secret function in the kfp_server_api sdk is very useful but it's not yet released in the kfp library (https://pypi.org/project/kfp/). Is there a plan for when the next release will be? Thanks much! | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5627 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5627/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5627/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5627/events | https://github.com/kubeflow/pipelines/issues/5627 | 885,304,899 | MDU6SXNzdWU4ODUzMDQ4OTk= | 5,627 | [05/10/2021] Presubmit failure: kubeflow-pipelines-tfx-python36 | {
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"The file was deleted by https://github.com/tensorflow/tfx/pull/3700."
] | 2021-05-10T23:01:33 | 2021-05-11T06:10:42 | 2021-05-11T06:10:42 | COLLABORATOR | null | https://oss-prow.knative.dev/view/gs/oss-prow/pr-logs/pull/kubeflow_pipelines/5604/kubeflow-pipelines-tfx-python36/1391884823848554496
```
+ cd /home/prow/go/src/github.com/kubeflow/pipelines/tfx/tfx/examples/chicago_taxi_pipeline
+ python3 taxi_pipeline_kubeflow_gcp_test.py
python3: can't open file 'taxi_pipelin... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5620 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5620/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5620/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5620/events | https://github.com/kubeflow/pipelines/issues/5620 | 881,550,704 | MDU6SXNzdWU4ODE1NTA3MDQ= | 5,620 | ERROR:Exception when calling CoreV1Api->create_namespaced_pod: (404) Reason: Not Found | {
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"@Ark-kun Hello Alexey, would you like to look at this example? Thank you!",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"This issue has been automatically closed because it has ... | 2021-05-09T01:01:13 | 2022-03-03T04:05:35 | 2022-03-03T04:05:35 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)? In GCP AI Platform
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP version: : kfp-1.0.0
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https://api.github.com/repos/kubeflow/pipelines/issues/5617 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5617/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5617/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5617/events | https://github.com/kubeflow/pipelines/issues/5617 | 880,533,520 | MDU6SXNzdWU4ODA1MzM1MjA= | 5,617 | [pH] ask contributors use copyright header "The Kubeflow Authors" | {
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"presubmit can be implemented by using `addlicense` go CLI tool and then verify no changes have been made\r\n\r\nAlso we can recommend \"Copyright Inserter\" vscode plugin: https://marketplace.visualstudio.com/items?itemName=minherz.copyright-inserter",
"This issue has been automatically marked as stale because i... | 2021-05-08T08:58:20 | 2022-03-03T06:05:17 | 2022-03-03T06:05:17 | CONTRIBUTOR | null | After https://github.com/kubeflow/pipelines/pull/5587,
we should stick to "The Kubefow Authors" copyright header.
But people may miss the new convention,
Proposal:
1. p0 add another PR checklist to educate contributors
2. p2 add presubmit (not sure how we can actually achieve that) | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5614 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5614/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5614/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5614/events | https://github.com/kubeflow/pipelines/issues/5614 | 880,327,800 | MDU6SXNzdWU4ODAzMjc4MDA= | 5,614 | [05/07/2021] Presubmit failure: kubeflow-pipelines-tfx-python36 | {
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"Package installed:\r\n\r\nSuccessfully installed Babel-2.9.1 Flask-Babel-1.0.0 Flask-JWT-Extended-3.25.1 Flask-OpenID-1.2.5 Flask-SQLAlchemy-2.5.1 Mako-1.1.4 MarkupSafe-1.1.1 Send2Trash-1.5.0 WTForms-2.3.3 alembic-1.6.2 apache-airflow-2.0.2 apache-airflow-providers-ftp-1.1.0 apache-airflow-providers-http-1.1.1 apa... | 2021-05-08T05:44:44 | 2021-05-08T10:57:07 | 2021-05-08T10:57:07 | COLLABORATOR | null | https://oss-prow.knative.dev/view/gs/oss-prow/pr-logs/pull/kubeflow_pipelines/5594/kubeflow-pipelines-tfx-python36/1390893518523731968
```
Traceback (most recent call last):
File "kubeflow_dag_runner_test.py", line 26, in <module>
from tfx.extensions.google_cloud_big_query.example_gen import component as big_... | {
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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/. -->
* KFP version:
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https://api.github.com/repos/kubeflow/pipelines/issues/5605 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5605/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5605/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5605/events | https://github.com/kubeflow/pipelines/issues/5605 | 878,867,414 | MDU6SXNzdWU4Nzg4Njc0MTQ= | 5,605 | Error: persistentvolumeclaim "azure-managed-disk" not found | {
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"/assign @aronchick \r\nDo you have a good contact for this issue? This is one of the azure tutorials",
"`kubectl delete pvc azure-managed-disk --namespace kubeflow`\r\n\r\nIf you look at the PVC's YAML you'll see it is created in namespace `kubeflow` which is not the default namespace and hence you aren't actual... | 2021-05-07T11:59:36 | 2021-05-27T16:17:51 | 2021-05-27T16:17:26 | NONE | null | **Question:**
I've followed the [azure end-to-end pipeline](https://www.kubeflow.org/docs/distributions/azure/azureendtoend/) tutorial, but am getting this error when running an experiment, does anyone know what might be the problem?
![image](https://user-images.githubusercontent.com/19318871/116953966-34d56d00-a... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5602 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5602/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5602/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5602/events | https://github.com/kubeflow/pipelines/issues/5602 | 878,372,645 | MDU6SXNzdWU4NzgzNzI2NDU= | 5,602 | [sdk] pyinstaller ("import kfp") -> OSError: could not get source code | {
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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",
"This issue has been automatically closed because it has not had recent activity. Please comment \"/reopen\" to reopen it.\n"
] | 2021-05-07T03:03:07 | 2022-03-03T04:05:20 | 2022-03-03T04:05:20 | NONE | null | ### Environment
* KFP SDK version: 1.20, 1.3.0, 1.4.0
### Steps to reproduce
```python
# file name: a.py
import kfp
print ("xxx")
```
`pyinstaller -F a.py` creates an executable `a` in ./dist/
run the executable `./dist/a`
### Expected result
```
xxx
```
But got the following error
### Issues
`... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5598 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5598/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5598/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5598/events | https://github.com/kubeflow/pipelines/issues/5598 | 877,557,807 | MDU6SXNzdWU4Nzc1NTc4MDc= | 5,598 | [backend] Cache Server is unable to deploy with external database using SSL | {
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"Can we consider this fixed after merging https://github.com/kubeflow/pipelines/pull/5599 @maganaluis ? ",
"@NikeNano Yes, I missed tagging this issue to the PR. "
] | 2021-05-06T14:26:53 | 2021-05-17T13:40:19 | 2021-05-17T13:40:19 | CONTRIBUTOR | null | ### Environment
Using Kustomize.
* KFP version:
KFP 1.3
* KFP SDK version:
KFP 1.4
### Steps to reproduce
We are unable to deploy the Cache Server with an external databases which uses SSL. In order to setup the correct parameters, the configuration should allow for extra parameters.
### Ex... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5597 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5597/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5597/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5597/events | https://github.com/kubeflow/pipelines/issues/5597 | 877,426,995 | MDU6SXNzdWU4Nzc0MjY5OTU= | 5,597 | Unable to artifact output files in aws s3 | {
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"Can someone please help on this",
"Update: My pipeline is running on namespace 'admin'. created secret file for namespace admin and kubeflow.\r\nUpdated deployment ml-pipeline-ui in kubeflow namespace to use aws-secret. Still in kubeflow UI am getting the below error:\r\n\r\nFailed to get object in bucket 'bucke... | 2021-05-06T12:07:19 | 2021-07-09T10:50:23 | 2021-07-09T10:50:23 | NONE | null | ### What steps did you take
I installed kubeflow v1.2 in AWS following official documentation -https://www.kubeflow.org/docs/distributions/aws/pipeline/
### What happened:
Created notebook server and executed kubeflow pipeline. AM able to view artifacts in UI stored in minio loation. Created secret.yaml file
... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5593 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5593/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5593/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5593/events | https://github.com/kubeflow/pipelines/issues/5593 | 876,939,987 | MDU6SXNzdWU4NzY5Mzk5ODc= | 5,593 | [feature] Choose what metrics to show on the individual experiment page | {
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"We are thinking about implementing this feature in KFP v2, because a basic requirement is that\r\n\r\nIn v2, we envision that each metric can be a separate artifact.\r\nAnd pipeline DSL can allow users to return artifacts they select.\r\n\r\nWith these two new features, it'll be possible to select pipeline level o... | 2021-05-05T23:36:33 | 2021-09-12T13:25:13 | null | NONE | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
/area frontend
<!-- /area backend -->
<!-- /area sdk -->
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
For runs that output many metrics, the current experiment page only d... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5590 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5590/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5590/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5590/events | https://github.com/kubeflow/pipelines/issues/5590 | 876,343,608 | MDU6SXNzdWU4NzYzNDM2MDg= | 5,590 | [backend] Pipelines 1.5.0 api-server argo version mismatch & samples cannot be compiled | {
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"Hi @mgiessing, this issue has been fixed in latest version. Can you confirm?",
"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",
"This issue has been automatically closed because it h... | 2021-05-05T11:18:28 | 2022-03-03T06:05:18 | 2022-03-03T06:05:18 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Pipelines is not yet deployed, I want to build the api-server docker image
* KFP version:
1.5.0
* KFP SDK version:
1.5.0
### Steps to reproduce
Difficult to reproduce as you'd need a ppc64le system, however that problem is not related to th... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5589 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5589/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5589/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5589/events | https://github.com/kubeflow/pipelines/issues/5589 | 876,327,632 | MDU6SXNzdWU4NzYzMjc2MzI= | 5,589 | SDK - Creating lightweight component inside lightweight component function leads to wrong inner component | {
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"For quick debug try:\r\n```python\r\n def inpod_pipeline_func(a: int, b: int):\r\n add_task = add(a, b)\r\n print(add_task.outputs)\r\n show_result(add_task.outputs['func_name'], add_task.outputs['result'])\r\n```",
"Thanks for your quick reply. I've made two tests with your guidance.\r\n... | 2021-05-05T10:57:40 | 2021-06-03T00:19:18 | 2021-06-03T00:19:18 | NONE | null | ### Environment
* Kubernetes: 1.18.9
* KFP version: 1.4.0
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP SDK version: 1.4.0
<!-- Specify the version of Kubeflow Pipelines that you are using. The version number... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5588 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5588/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5588/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5588/events | https://github.com/kubeflow/pipelines/issues/5588 | 876,268,627 | MDU6SXNzdWU4NzYyNjg2Mjc= | 5,588 | Managed storage default sql username is not root as described | {
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"This issue gives the same errors as found here: https://stackoverflow.com/questions/66600365/gcp-ai-platform-pipelines-kfp-use-managed-storage-cloudsqlproxy-issue#",
"Thanks for reporting! This is a sub problem of https://github.com/kubeflow/pipelines/issues/5717.\r\nLet's track this issue in the more generic is... | 2021-05-05T09:44:48 | 2021-06-01T08:13:55 | 2021-06-01T08:13:55 | NONE | null | @Svendegroote91 Sorry for the late reply, reading through your description, it sounds like
> database username & password left empty to default to root user without password.
this part is wrong, you need to type `root` into database username, it's not the default when you leave it to empty.
_Originally posted by... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5586 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5586/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5586/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5586/events | https://github.com/kubeflow/pipelines/issues/5586 | 875,992,333 | MDU6SXNzdWU4NzU5OTIzMzM= | 5,586 | [Testing] samples v2 test fail with CreateContainerError | {
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"There were brief periods the node was in NotReady state:\r\n\r\n> Normal NodeNotReady 9m40s (x10 over 40h) kubelet Node gke-kfp-standalone-1-kfp-standalone-1-60baa0a0-mr50 status is now: NodeNotReady\r\n\r\nbut it recovered soon",
"EDIT: this is unrelated to this issue\r\n\r\nAnother symptom:\r... | 2021-05-05T02:47:23 | 2021-05-05T06:15:42 | 2021-05-05T06:14:46 | CONTRIBUTOR | null | There are multiple types of errors I'm observing when running tests:
1. Pod fail with CreateContainerError
> Warning Failed 103s kubelet Error: context deadline exceeded
Warning FailedSync 91s (x2 over 102s) kubelet error determining status: rpc error: code = Unkno... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5584 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5584/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5584/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5584/events | https://github.com/kubeflow/pipelines/issues/5584 | 875,318,560 | MDU6SXNzdWU4NzUzMTg1NjA= | 5,584 | [backend] metadata_execution_id is empty in ExecutionOutput of cache record due to race condition | {
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"I understand the issue.\r\nI wonder how reliable `metadata_execution_id` is. Have you seen any cases where Metadata Writer failed to set it?\r\n\r\nWe're a little bit hesitant to introduce a dependency between cache server and metadata writer services.",
"> I wonder how reliable metadata_execution_id is.\r\n\r\n... | 2021-05-04T10:20:28 | 2021-06-11T00:49:43 | 2021-06-11T00:49:43 | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
We deploy it via ArgoCD.
* KFP version: 1.0.4
Two components involved in issue:
* ml-pipeline/metadata-writer:1.0.4
* ml-pipeline/cache-server:1.0.4
### Steps to reproduce
This is a race condition between metadata-writer and cache-serv... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5579 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5579/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5579/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5579/events | https://github.com/kubeflow/pipelines/issues/5579 | 874,306,190 | MDU6SXNzdWU4NzQzMDYxOTA= | 5,579 | In metacontroller statefulset container securitycontext block allowPrivilegeEscalation and privileged are set to true . Does the controller container really need those privileges | {
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"@orugantichetan can you raise the issue in metacontroller repo instead?"
] | 2021-05-03T07:19:41 | 2021-06-11T00:50:37 | 2021-06-11T00:50:37 | NONE | null | /kind question
/kind/question
metacontroller statefulset container securitycontext block allowPrivilegeEscalation and privileged are set to true . Does the container really need those privileges
In metacontroller repo those privileged permissions are not set [https://github.com/metacontroller/metacontroller/blo... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5578 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5578/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5578/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5578/events | https://github.com/kubeflow/pipelines/issues/5578 | 874,272,402 | MDU6SXNzdWU4NzQyNzI0MDI= | 5,578 | can metacontroller be upgraded to latest version from V0.3.0 | {
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"We will upgrade metacontroller and investigate if there is any breaking change in this major version bump.\r\n\r\nAnother option is to remove metacontroller, and use kubeoperator or helm instead.",
"The following is possible. If you are interested in a merge request please tell me.\r\n\r\nI \r\n1. upgraded to 2.... | 2021-05-03T06:27:59 | 2021-09-14T12:36:32 | 2021-09-14T12:36:32 | NONE | null | /kind question
/kind/question
can metacontroller be upgraded to latest version from V0.3.0
from v1.2.0 metacontroller have support for distroless image .
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https://api.github.com/repos/kubeflow/pipelines/issues/5577 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5577/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5577/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5577/events | https://github.com/kubeflow/pipelines/issues/5577 | 874,046,227 | MDU6SXNzdWU4NzQwNDYyMjc= | 5,577 | [sdk] `kfp run submit` fails when paramerer values contain '=' with "dictionary update sequence element" | {
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"/assign\r\n\r\nWill take a look. "
] | 2021-05-02T21:14:47 | 2021-05-16T07:44:45 | 2021-05-16T07:44:45 | NONE | null | ### Environment
* KFP version:
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP SDK version: 1.4.0, 1.5.0
<!-- Specify the version of Kubeflow Pipelines that you are using. The version number appears in the left si... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5576 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5576/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5576/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5576/events | https://github.com/kubeflow/pipelines/issues/5576 | 873,897,681 | MDU6SXNzdWU4NzM4OTc2ODE= | 5,576 | [backend] pipelines upload failes without parameters | {
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"/assign",
"I don`t get this issue on the latest version of Kubeflow pipelines. Could which of the `XGB` examples did you use @padrian2s.",
"I use the default XGB after KF install, the one that is already published into DB. \r\n@NikeNano ",
"I vaguely remember this is already fixed in later KFP version",
"... | 2021-05-02T09:46:21 | 2022-03-03T06:05:11 | 2022-03-03T06:05:11 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
deploy manually (kustomize build)
* KFP version:
KFP 1.3
* KFP SDK version:
kfp 1.4.0
kfp-pipeline-spec 0.1.7
kfp-server-api 1.5.0
### Steps to reproduce
upload xgboost sample pipeline, which ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5565 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5565/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5565/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5565/events | https://github.com/kubeflow/pipelines/issues/5565 | 871,318,727 | MDU6SXNzdWU4NzEzMTg3Mjc= | 5,565 | [frontend] The sort, filter of artifact does not work | {
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"<img width=\"1192\" alt=\"Screen Shot 2021-04-29 at 11 33 56 AM\" src=\"https://user-images.githubusercontent.com/52932582/116601525-763fd400-a8df-11eb-86aa-9be8708b2715.png\">\r\n",
"Duplicate of https://github.com/kubeflow/pipelines/issues/3226"
] | 2021-04-29T18:35:05 | 2021-05-18T14:30:44 | 2021-05-18T14:30:44 | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)? Kubeflow Pipeline Standalone with GCP
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP version: 1.5.0
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"Update area:\r\n\r\n```\r\n with open('/mlpipeline-ui-metadata.json', 'w') as f:\r\n json.dump(metadata, f)\r\n```",
"Example of outputting mlpipeline-ui-metadata in component yaml component: https://github.com/kubeflow/pipelines/blob/d362cab2046b92efa5f015c6a980bc9371b4b63b/components/tensorflow/tensorboard... | 2021-04-29T07:57:41 | 2021-07-16T00:41:56 | 2021-07-16T00:41:56 | CONTRIBUTOR | null | https://www.kubeflow.org/docs/components/pipelines/sdk/output-viewer/ | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5560 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5560/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5560/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5560/events | https://github.com/kubeflow/pipelines/issues/5560 | 870,155,056 | MDU6SXNzdWU4NzAxNTUwNTY= | 5,560 | [backend] OutputArtifact path is None | {
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"I've tested as similar approach using 1.6.0.rc0 here:\r\n\r\n```\r\nimport kfp\r\nimport kfp.components as comp\r\nimport kfp.v2.dsl as dsl\r\nfrom kfp.v2 import compiler\r\nfrom kfp.v2.dsl import (\r\n component,\r\n Input,\r\n Output,\r\n Artifact,\r\n Dataset,\r\n Metrics,\r\n Model\r\n)\r\... | 2021-04-28T16:53:15 | 2022-03-03T00:05:17 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Deployed Standalone on k3s
* KFP version:
1.50
* KFP SDK version:
1.5.0rc3
### Steps to reproduce
Create lightweight component using OutputArtifact, compiled with V1 compiler, using V2 Compatible, and run through the UI. The following err... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5558 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5558/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5558/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5558/events | https://github.com/kubeflow/pipelines/issues/5558 | 870,072,899 | MDU6SXNzdWU4NzAwNzI4OTk= | 5,558 | [feature] Configurable KFP Artifact types while storing to Minio | {
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"Not that familiar with kfserving, but with respect to #5453.\r\n\r\nCan I assume there are 2 separate issues?\r\n\r\n- for model retrieval, kfserving only support local model or http/https model (#5453)\r\n- for remote model artifacts, it expects an unarchived model binary? (This ticket)\r\n\r\n\r\n",
"Yes indee... | 2021-04-28T15:24:38 | 2022-02-21T08:55:19 | null | NONE | null | ### Feature Area
/area sdk
### What feature would you like to see?
We are trying to marry "KF Pipelines + KF Artifacts + KF Serving" in a nice use-case where we train a (sklearn) model using KFP, store it as an output artifact to the artifact store of pipelines (minio) and then deploy that model directly from th... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5556 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5556/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5556/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5556/events | https://github.com/kubeflow/pipelines/issues/5556 | 869,323,554 | MDU6SXNzdWU4NjkzMjM1NTQ= | 5,556 | [Multi User] Kubeflow Pipelines Missing Headers | {
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* How did you deploy Kubeflow Pipelines (KFP)?
Hi, we deployed Kubeflow using the [kfctl_k8s_istio.v1.2.0.yaml](https://raw.githubusercontent.com/kubeflow/manifests/v1.2-branch/kfdef/kfctl_k8s_istio.v1.2.0.yaml) file.
* KFP version:
Kubeflow Pipelines Version: 1.0.4
* KFP SDK version:
v... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5555 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5555/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5555/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5555/events | https://github.com/kubeflow/pipelines/issues/5555 | 869,309,587 | MDU6SXNzdWU4NjkzMDk1ODc= | 5,555 | [feature] Allow jobs to be scheduled on AWS Fargate | {
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"@yuhuishi-convect we might want to switch to argo v3 emissary executor: https://argoproj.github.io/argo-workflows/workflow-executors/#emissary-emissary\r\nwhich doesn't require privileged permission.\r\n",
"This can be resolved by https://github.com/kubeflow/pipelines/issues/1654, when we switch to that executoo... | 2021-04-27T22:15:47 | 2022-03-03T00:05:28 | 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 am trying to run a large number of kubeflow pipeline jobs on AWS [F... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5553 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5553/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5553/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5553/events | https://github.com/kubeflow/pipelines/issues/5553 | 869,202,635 | MDU6SXNzdWU4NjkyMDI2MzU= | 5,553 | [backend] Local install: proxy-agent error "Could not resolve host: metadata.google.internal" | {
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"Yes, for local install, you should use\r\n```\r\nkubectl apply -k \"github.com/kubeflow/pipelines/manifests/kustomize/env/platform-agnostic-pns?ref=$PIPELINE_VERSION\"\r\n```\r\n\r\nwe should update documentation in KFP standalone: https://www.kubeflow.org/docs/components/pipelines/installation/standalone-deployme... | 2021-04-27T19:42:14 | 2021-04-30T02:23:38 | 2021-04-30T02:23:38 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
```
# Install k3d kubectl
brew install k3d kubectl
k3d cluster create kubeflow
k3d kubeconfig merge ml-kubeflow --kubeconfig-switch-context
# Install Kubeflow Pipelines
export PIPELINE_VERSION=1.5.0
kubectl apply -k "github.com/kubeflow/pipeli... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5548 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5548/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5548/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5548/events | https://github.com/kubeflow/pipelines/issues/5548 | 868,350,145 | MDU6SXNzdWU4NjgzNTAxNDU= | 5,548 | [sdk] mlpipelines-metrics path is wrong when using kfp.components.load_component_from_text | {
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"> /mlpipeline-metrics.json, but instead I am getting /tmp/outputs/MLPipeline_Metrics/data\r\n\r\nThis is by design. Metrics is a normal output and has same style of paths as other outputs. Also, putting files in root is problematic for multiple reasons. It's not possible to mount volumes to the root to grab the fi... | 2021-04-27T01:28:35 | 2022-03-03T03:05:15 | 2022-03-03T03:05:15 | NONE | null | Let me describe what my problem is:
- I am using load_component_from_text to define my components
- In the pipeline I am generating a mlpipeline-metrics artifact
- After compiling the pipeline I am checking the yaml file that is created
- Within the yaml file, I was expecting the path of this artifact to be **/ml... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5547 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5547/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5547/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5547/events | https://github.com/kubeflow/pipelines/issues/5547 | 867,837,577 | MDU6SXNzdWU4Njc4Mzc1Nzc= | 5,547 | [Test Infra] v2 sample test failing with run timeout 4-26 | {
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"Strange, the temporary error goes away by itself. It might be some temporary infra issue",
"closing for now, we can reopen if we find similar issues"
] | 2021-04-26T15:36:09 | 2021-04-27T13:56:22 | 2021-04-27T13:56:22 | CONTRIBUTOR | null | Example: https://oss-prow.knative.dev/view/gs/oss-prow/pr-logs/pull/kubeflow_pipelines/5546/kubeflow-pipelines-samples-v2/1386628232907853824
One test running: https://4e18c21c9d33d20f-dot-datalab-vm-staging.googleusercontent.com/#/runs/details/45981700-5acd-4d4e-b77d-3a1780f9ab68
All PRs are failing on this.
Ho... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5545 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5545/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5545/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5545/events | https://github.com/kubeflow/pipelines/issues/5545 | 867,225,810 | MDU6SXNzdWU4NjcyMjU4MTA= | 5,545 | pipeline_conf.set_ttl_seconds_after_finished(seconds=10) NOT WORKING | {
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"I think [this issue](https://github.com/kubeflow/pipelines/issues/5234) could guide you to a solution @prasadkyp7 ",
"+1 to NikeNano's answer",
"we upgraded kubeflow to latest version but still TTL is not working. \r\nNeed an urgent help on this\r\n",
"@prasadkyp7 can you add more details?\r\nWhat config did... | 2021-04-26T03:43:39 | 2021-08-12T14:27:07 | 2021-06-11T00:54:14 | NONE | null | * How did you deploy Kubeflow Pipelines (KFP)?
**_WE are using full kubeflow deployment on AWS Cloud_**
* KFP version:
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To find the version number, See version number shows ... | {
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"This is expected. Your pipeline doesn't specify any default value for param.\r\nOne option is to provide a default value when you define the pipeline function, for instance:\r\n```\r\n @kfp.dsl.pipeline(name='pipeline')\r\n def pipeline(param: int = 10):\r\n ...\r\n```\r\nAnother option, probably more common... | 2021-04-25T17:01:55 | 2021-05-18T02:54:24 | 2021-05-18T02:54:24 | NONE | null | Trying to work with KFP SDK directly with argo workflow and when compiling a pipeline with input parameter a default value is not created so the workflow is invalid.
### Environment
* KFP version: not relevant, submitting directly to argocd
* KFP SDK version: 1.5.0
### Steps to reproduce
Run the followin... | {
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"/assign @capri-xiyue "
] | 2021-04-24T04:17:49 | 2021-05-26T16:01:42 | 2021-05-26T16:01:42 | NONE | null | ### What steps did you take
This issue happened after we upgraded to Kubeflow Pipeliines `1.5.0`
Minimum example to reproduce:
```python
import kfp
@kfp.components.create_component_from_func
def fail_func():
raise ValueError("failure")
@kfp.components.create_component_from_func
def dummy_func... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5534 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5534/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5534/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5534/events | https://github.com/kubeflow/pipelines/issues/5534 | 865,983,030 | MDU6SXNzdWU4NjU5ODMwMzA= | 5,534 | load_pipeline_from_file | {
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"@luiu1234 What is the reason for preferring yaml over python for loading pipeline from file? We are currently heading towards the direction of supporting pipeline construction using python only. \r\n\r\n/cc @chensun ",
"Hi @zijianjoy ,\r\nreason is consistency.\r\nFor me is (a little bit) inconsistent to use use... | 2021-04-23T10:34:14 | 2022-03-03T03:05:21 | 2022-03-03T03:05:21 | NONE | null | Hi,
you can create components as a yaml, and load them with `load_component_from_file`.
Why there's not the same feature with pipelines?
Instead of using `@dsl.pipeline`, define the pipeline also with a yaml, and then just having a py script with a `load_pipeline_from_file` function. Or even better, pass `--pipel... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5533 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5533/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5533/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5533/events | https://github.com/kubeflow/pipelines/issues/5533 | 865,891,790 | MDU6SXNzdWU4NjU4OTE3OTA= | 5,533 | [backend] minio/mysql pod pending because PV provisioned to wrong zone in regional cluster | {
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"In GCP, it's recommended to use GCS & Cloud SQL, so we can avoid this problem.",
"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",
"This issue has been automatically closed because it... | 2021-04-23T08:42:53 | 2022-03-03T03:05:16 | 2022-03-03T03:05:16 | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
kfp standalone
* KFP version: 1.5.0
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"Hello @prasadkyp7 ,\r\n\r\nWould you like to provide more detail on the deployment environment?\r\n\r\nAre.you using Full Kubeflow deployment, or KFP standalone? What kind of cloud provider you are using?\r\n\r\nVersioning questions:\r\n1. How do you deploy Kubeflow Pipelines (KFP)?\r\n2. KFP version:\r\n3. KFP SD... | 2021-04-22T17:50:23 | 2022-03-03T04:05:33 | 2022-03-03T04:05:33 | NONE | null |
when we run many pipelines(more than 500) using KFP-API , the entire kubeflow and UI is crashing. when i look back in kubernetes its showing this error-failed to create a watcher for certificate files: inotify_init: too many open files. We are not able to track/understand this error. But this crash is happening becau... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5524 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5524/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5524/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5524/events | https://github.com/kubeflow/pipelines/issues/5524 | 864,591,295 | MDU6SXNzdWU4NjQ1OTEyOTU= | 5,524 | [Test infra] 2021.4.22 -- v2 sample test failing -- API Exception 502 | {
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"Deleted the unhealthy node",
"I'm not seeing google cloud automatically bringing up a new node, so I edited in UI directly. I'm not sure what the canonical process should be.",
"after deleting the unhealthy node, it recovered",
"Closing the issue, but maybe we need to figure out next time how unhealthy nodes... | 2021-04-22T06:31:17 | 2021-04-22T07:54:21 | 2021-04-22T07:54:21 | CONTRIBUTOR | null | I found that all the pods in node `gke-kfp-standalone-1-kfp-standalone-1-60baa0a0-07jc` are either stuck at Terminating or ContainerCreating.
So I'm going to delete this node.
Test link: https://oss-prow.knative.dev/view/gs/oss-prow/pr-logs/pull/kubeflow_pipelines/5515/kubeflow-pipelines-samples-v2/13851139766810... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5521 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5521/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5521/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5521/events | https://github.com/kubeflow/pipelines/issues/5521 | 864,492,268 | MDU6SXNzdWU4NjQ0OTIyNjg= | 5,521 | [frontend] tensorboard 2.3+ cannot load in KFP visualization | {
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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",
"This issue has been automatically closed because it has not had recent activity. Please comment \"/reopen\" to reopen it.\n"
] | 2021-04-22T03:01:37 | 2022-03-03T06:05:25 | 2022-03-03T06:05:25 | CONTRIBUTOR | null | ### Steps to reproduce
<!--
Specify how to reproduce the problem.
This may include information such as: a description of the process, code snippets, log output, or screenshots.
-->
1. customize tensorboard image with https://github.com/kubeflow/pipelines/pull/5515, use image tensorflow/tensorflow:2.3.2
2. star... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5519 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5519/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5519/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5519/events | https://github.com/kubeflow/pipelines/issues/5519 | 863,892,346 | MDU6SXNzdWU4NjM4OTIzNDY= | 5,519 | [feature] GCP Cloud ML Engine Component Support Local Training | {
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"/assign @Bobgy \r\nsounds like an useful idea",
"I think that the existing component cannot really do that. It uses REST client to call the GCP API and cannot do what gcloud local is doing. So the easiest solution is to create a new component for this purpose.\r\n\r\nBut\r\n\r\nWhat do you think about using cust... | 2021-04-21T13:27:00 | 2022-03-03T04:05:19 | 2022-03-03T04:05:19 | NONE | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
<!-- /area backend -->
<!-- /area sdk -->
<!-- /area samples -->
[GCP Components](https://github.com/kubeflow/pipelines/tree/master/components/gcp/ml_engine)
### What feature would you like to s... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5518 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5518/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5518/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5518/events | https://github.com/kubeflow/pipelines/issues/5518 | 863,883,639 | MDU6SXNzdWU4NjM4ODM2Mzk= | 5,518 | [bug] Lexical error in pipeline samples | {
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"/assign @difince ",
"Updated the text with https://github.com/kubeflow/pipelines/commit/acc2c2aaafa6c3a6b0cc90eef5d61cfd43440aef"
] | 2021-04-21T13:17:53 | 2021-04-22T21:31:15 | 2021-04-22T21:31:15 | MEMBER | null | ### What steps did you take
It is just a lexical error in pipeline sample file - [Data passing in python components - Files.py](https://github.com/kubeflow/pipelines/blob/d79071c0bef19442483abc101769a0d893e72f42/samples/tutorials/Data%20passing%20in%20python%20components/Data%20passing%20in%20python%20components%20-%2... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5513 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5513/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5513/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5513/events | https://github.com/kubeflow/pipelines/issues/5513 | 863,200,683 | MDU6SXNzdWU4NjMyMDA2ODM= | 5,513 | Large inline Markdown visualization causes OOM | {
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"I'm going to experiment with uploading this Markdown content to GCS, and see if that is handled better.\r\n\r\nUPDATE: the same happens with .md files hosted in GCS. They're large but not staggeringly so (11.3MB), but still cause out-of-memory errors in the browser tab.",
"Hi @jackwhelpton, this seems like an ex... | 2021-04-20T20:13:23 | 2021-05-25T04:10:09 | 2021-05-25T04:10:09 | CONTRIBUTOR | null | ### Environment
* KFP version: 1.0.1
### Steps to reproduce
Output a markdown artifact containing a large amount of Markdown inline:
```python
metadata = {
"outputs": [
{
"storage": "inline",
"source": "<large markdown string: ~20MB>",
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https://api.github.com/repos/kubeflow/pipelines/issues/5512 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5512/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5512/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5512/events | https://github.com/kubeflow/pipelines/issues/5512 | 863,010,858 | MDU6SXNzdWU4NjMwMTA4NTg= | 5,512 | Missing Markdown support: horizontal rule, emojis | {
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"As a workaround, using the character ⚠️ directly works; this doesn't help with, for example, ℹ️ (`:information_source:`).\r\n\r\nThis doesn't help with the horizontal rule, either.",
"I'm expanding this ticket as I find other missing markdown features: let me know if each one should be spun off as a separate tic... | 2021-04-20T16:43:45 | 2022-03-11T05:40:26 | null | CONTRIBUTOR | null | ### Environment
* KFP version: 1.0.1
### Steps to reproduce
Output a markdown artifact containing the missing features: a horizontal rule, and an emoji, e.g. `:warning:`
```python
metadata = {
"outputs": [
{
"storage": "inline",
"source": "line1\n---... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5511 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5511/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5511/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5511/events | https://github.com/kubeflow/pipelines/issues/5511 | 862,959,179 | MDU6SXNzdWU4NjI5NTkxNzk= | 5,511 | Can the workflow controller be upgraded to argo v2.12.6? | {
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"Hi @midhun1998, kubeflow 1.3 is about to release and argo workflow controller has been upgraded to 2.12.9",
"Thanks for letting me know @Bobgy . I'm really excited for Kubeflow 1.3 🎉. But we are planning to upgrade to Kubeflow 1.3 only post some analysis(Could take a while🙁) . In the Meantime, is it possible t... | 2021-04-20T15:47:16 | 2021-05-16T13:41:24 | 2021-05-16T13:41:24 | MEMBER | null | Hi,
We are looking to upgrade the workflow controller to v2.12.6 based on #4553 . The current version of Argo workflow controller installed is v2.3 which comes with Kubeflow v1.2. The main reason to upgrade is Argo v2.3 only outputs very few workflow metrics.
Will there be any incompatibilities? If no, will changing ... | {
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"Hello @jw-websensa , currently we recommend using minio rule to set expiration date: https://docs.min.io/docs/minio-bucket-lifecycle-guide.html. We will learn more about the usability and improve in the future.",
"Hello @zijianjoy, thank you for your response, I am aware about minio rules, but I think it will no... | 2021-04-20T08:10:00 | 2021-05-04T21:49:26 | 2021-04-30T00:57:36 | NONE | null | ### Feature Area
/area backend
/area components
### What feature would you like to see?
Pipeline run artifacts validity period.
### What is the use case or pain point?
I'm using Kubeflow with on-premise Kubernetes cluster.
As we use Rancher local path provisioner for Storage Class it is crucial to con... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5506 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5506/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5506/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5506/events | https://github.com/kubeflow/pipelines/issues/5506 | 862,351,938 | MDU6SXNzdWU4NjIzNTE5Mzg= | 5,506 | [v2 sample test] separate samples from tests? | {
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"@Ark-kun what kind of folder structure do you propose?",
"I don't strongly feel that we need to hide tests, maybe users also want to know how they can\r\n* test their pipelines\r\n* extract results from their pipelines in an external system\r\n\r\nAlso, for user facing samples, they are already in separate folde... | 2021-04-20T02:48:18 | 2022-03-03T06:05:25 | 2022-03-03T06:05:25 | CONTRIBUTOR | null | > I think we might want to have some separation between what we show to the users and the internal test infra machinery.
> I'm not sure we should show the users with that test infra code.
_Originally posted by @Ark-kun in https://github.com/kubeflow/pipelines/pull/5473#discussion_r616266440_ | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5505 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5505/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5505/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5505/events | https://github.com/kubeflow/pipelines/issues/5505 | 862,291,747 | MDU6SXNzdWU4NjIyOTE3NDc= | 5,505 | [v2 sample test] auto scan all files with suffix _test.py instead of config.yaml | {
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"/cc @chensun @neuromage @Ark-kun ",
"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",
"This issue has been automatically closed because it has not had recent activity. Please comment ... | 2021-04-20T02:00:20 | 2022-03-03T06:05:35 | 2022-03-03T06:05:35 | CONTRIBUTOR | null | # Problem
We need to add an entry in [samples/test/config.yaml](https://github.com/kubeflow/pipelines/blob/master/samples/test/config.yaml), each time when we add a new sample. This can be error prone, also unnecessary, because the config.yaml file doesn't contain much information so far.
# Proposal
We can jus... | {
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"Hi @raffaelespazzoli, can you report your kubernetes version?",
"Also transferred to KFP repo",
"@Bobgy yeah, I intended to open this on the manifests repo. sorry for this., can you add the link to where you transferred it to?\r\nI'm seeing this issue with both minkube 1.17.1 and openshift 4.7 (corresponding t... | 2021-04-19T21:08:20 | 2022-03-03T06:05:36 | 2022-03-03T06:05:36 | NONE | null | I'm trying installing kubeflow v1.3.0-rc.1 with the official manifests and it seems to me that the manifests for creating the certs for the cache-server are not present.
It is still hard to say for certain for sure as the kustomize composition is still very hard to follow. That said, thanks for having removed kfctl an... | {
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"After some offline troubleshooting, found that\r\n> Artifact storage Cloud Storage bucket: With managed storage, Kubeflow Pipelines stores pipeline artifacts in a Cloud Storage bucket. Specify the name of the bucket you want Kubeflow Pipelines to store artifacts in. If the specified bucket doesn't exist, the Kubef... | 2021-04-19T13:38:12 | 2021-04-20T14:45:41 | 2021-04-20T14:45:41 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
On Google Cloud Platform via "AI Platform" > "Pipelines" > "New Pipeline"
* KFP version:
* 1.4.1
* KFP SDK version:
kfp 1.4.0
kfp-pipeline-spec 0.1.7
kfp-server-api 1.4.1
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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",
"This issue has been automatically closed because it has not had recent activity. Please comment \"/reopen\" to reopen it.\n"
] | 2021-04-19T12:08:23 | 2022-03-03T06:05:34 | 2022-03-03T06:05:34 | CONTRIBUTOR | null | ### Environment
* KFP version: 1.1
* KFP SDK version: 1.4
* All dependencies version:
kfp 1.4.0
kfp-pipeline-spec 0.1.7
kfp-server-api 1.4.1
### Steps to reproduce
Run the following pipeline:
```
import kfp
@kfp.components.cre... | {
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"/assign @neuromage @chensun ",
"@neuromage @chensun Any progress regarding this issue?",
"@Ark-kun We want to support non-PipelineParam arguments on graph_component so that we can define the graph function with some default arguments. Do you think it makes sense to implement this feature? Thank you. ",
"@Tom... | 2021-04-16T15:25:15 | 2022-03-03T04:05:39 | 2022-03-03T04:05:39 | CONTRIBUTOR | null | ### Feature Area
/area sdk
### What feature would you like to see?
`@graph_component` decorator accepting literal values, not just `PipelineParam`s. Currently, if a literal is passed, e.g. `0`, then the following error will be raised:
```
ValueError: arguments to {function_name} should be PipelineParams.
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"Hello @hsinhoyeh , you can disable the pipeline pods by setting the following label from your profile's namespace labels: `pipelines.kubeflow.org/enabled: false`.\r\n\r\nYou can do this for all the profiles that don't require Kubeflow Pipelines. For future roadmap, we plan to remove visualization server too. \r\n\... | 2021-04-16T03:09:15 | 2022-03-03T04:05:37 | 2022-03-03T04:05:37 | CONTRIBUTOR | null |
**Question:**
Not sure whether this question has been discussed before, but I am curious about the resource overhead for each individual profile.
In the current configuration ( in v1.2, v1.3), when creating one single profile, there are two running pods are created by default:
```
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https://api.github.com/repos/kubeflow/pipelines/issues/5484 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5484/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5484/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5484/events | https://github.com/kubeflow/pipelines/issues/5484 | 858,959,259 | MDU6SXNzdWU4NTg5NTkyNTk= | 5,484 | [bug] Confusion matrix component task fails | {
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"Thank you @Mullefa for identifying this issue! Would you like to create a PR to bump up python version for the fix?",
"Thank you for identifying the issue.\r\n\r\nWe're interested to know more about your pipeline. What is the upstream component you use with the confusion matrix component?",
"This issue has bee... | 2021-04-15T14:47:42 | 2022-03-03T03:05:22 | 2022-03-03T03:05:22 | NONE | null | ### What steps did you take
I created a task in a pipeline using the [confusion matrix](https://github.com/kubeflow/pipelines/tree/ab63956f3a61d4d11b27ac26f097e1784588fed9/components/local/confusion_matrix) component.
### What happened:
The task failed with the following message:
```
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"Hmmm, this is exactly kubeflow/metadata server: https://github.com/kubeflow/metadata/tree/master/api\r\nThey used grpc-gateway to generate a REST python client for Metadata API.",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity o... | 2021-04-15T08:39:32 | 2022-03-03T06:05:27 | 2022-03-03T06:05:27 | CONTRIBUTOR | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
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### What feature would you like to see?
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https://api.github.com/repos/kubeflow/pipelines/issues/5480 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5480/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5480/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5480/events | https://github.com/kubeflow/pipelines/issues/5480 | 858,437,230 | MDU6SXNzdWU4NTg0MzcyMzA= | 5,480 | [backend] go get github.com/kubeflow/pipelines got k8s.io/kubernetes@v0.17.9: invalid version: unknown revision v0.17.9 | {
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"Thank you @ZhengJuCn for filing this request! Would you like to make a PR for the go get module supportability?",
"cc @Bobgy @capri-xiyue ",
"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 contributio... | 2021-04-15T03:22:26 | 2022-05-22T05:02:31 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
install pipelines with kubeflow 1.3.0-rc.0 with kubeflow/manifest repo example manifest
* KFP version:
with pipeline docker image, pipeline version is 1.5.0-rc.2
* KFP SDK version:
not use
### Steps to reproduce
just exec 'go ge... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5476 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5476/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5476/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5476/events | https://github.com/kubeflow/pipelines/issues/5476 | 858,229,278 | MDU6SXNzdWU4NTgyMjkyNzg= | 5,476 | 04/14/21 - presubmit kubeflow-pipelines-tfx-python36 failing | {
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2021-04-14 09:52:20.924348: 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 recent call last):
File "taxi_pipeline_kubeflow_gcp_test.py", line 24, in <module>
from tfx.examples.chicago_taxi_pipeline import taxi_... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5475 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5475/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5475/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5475/events | https://github.com/kubeflow/pipelines/issues/5475 | 858,103,940 | MDU6SXNzdWU4NTgxMDM5NDA= | 5,475 | [components] BrokenPipeError: [Errno 32] Broken pipe issue during mlengine_train_op hyperparameters optimization job | {
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"I am experiencing the same issue when submitting a pyspark job to a dataproc cluster with this component: https://raw.githubusercontent.com/kubeflow/pipelines/1.5.0-rc.2/components/gcp/dataproc/submit_pyspark_job/component.yaml",
"I think I was able to resolve the issue by applying K8s secret to authenticate the... | 2021-04-14T17:23:12 | 2021-09-07T15:31:13 | 2021-09-07T15:31:13 | NONE | null | ### Environment
GCP AI platform
* How did you deploy Kubeflow Pipelines (KFP)?
AI platform deployment
* KFP version:
1.4.0
* KFP SDK version:
1.4.0
### Steps to reproduce
```
mlengine_train_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/1.5.0-rc.0/compo... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5474 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5474/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5474/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5474/events | https://github.com/kubeflow/pipelines/issues/5474 | 858,018,271 | MDU6SXNzdWU4NTgwMTgyNzE= | 5,474 | [Discussion] Future of Run UUID placeholders: `[[RunUUID]]` vs `kfp.dsl.RUN_ID_PLACEHOLDER` | {
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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",
"This issue has been automatically closed because it has not had recent activity. Please comment \"/reopen\" to reopen it.\n"
] | 2021-04-14T15:35:15 | 2022-03-03T06:05:27 | 2022-03-03T06:05:26 | MEMBER | null | After merging #4995 we realized that there is some conflicting behaviour between the `[[RunUUID]]` macro and `kfp.dsl.RUN_ID_PLACEHOLDER` (which points to `{{workflow.uid}}` (related to #3709).
I will bring here some discussion from #4995 so we can continue here.
@Bobgy says:
> To reduce backward compatibility... | {
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"I think option 1 and 2 can probably both be useful",
"Some feature requests that is related to this https://github.com/kubeflow/pipelines/issues/1641 https://github.com/kubeflow/pipelines/issues/4714",
"Note, a prerequisite for implementing this feature is supporting passing full image to KFP viewer API. Curre... | 2021-04-14T08:59:38 | 2021-05-11T07:45:42 | 2021-05-11T07:45:42 | CONTRIBUTOR | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
/area frontend
<!-- /area backend -->
<!-- /area sdk -->
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
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https://api.github.com/repos/kubeflow/pipelines/issues/5470 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5470/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5470/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5470/events | https://github.com/kubeflow/pipelines/issues/5470 | 857,583,162 | MDU6SXNzdWU4NTc1ODMxNjI= | 5,470 | Assigning copyright to the project authors | {
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"@jdavis34265 I think this is a very good point!\r\nThere were some early usages of \"The Kubeflow Authors\" in pipelines repo too, see https://github.com/kubeflow/pipelines/search?p=1&q=the+kubeflow+authors. However, we are not enforcing this style consistently.\r\n\r\nI think it's reasonable to discuss this propo... | 2021-04-14T06:55:39 | 2021-06-01T09:49:05 | 2021-06-01T09:49:05 | NONE | null | I wanted to start a discussion about the open-source nature of the Kubeflow projects.
Most Kubeflow projects already follow the opens-source guidelines, but I've noticed some issues in the Kubeflow Pipelines project.
I see that the Kubeflow Pipelines has a great developer community that takes a big part in developm... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5467 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5467/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5467/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5467/events | https://github.com/kubeflow/pipelines/issues/5467 | 857,285,186 | MDU6SXNzdWU4NTcyODUxODY= | 5,467 | [bug] v2 Sample test: mysql_query aborted: errno: 1213, error: Deadlock found when trying to get lock; try restarting transaction | {
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"P.S. The error is intermittent and disappeared after re-run.",
"It seems we should add retry when calling KFP API",
"https://4e18c21c9d33d20f-dot-datalab-vm-staging.googleusercontent.com/#/runs/details/26a16bda-2f69-4cc1-baf1-cde02947a64e\r\n\r\nI'm seeing this once too, among many pipelines in one test, this ... | 2021-04-13T20:10:19 | 2021-05-18T21:47:48 | 2021-05-18T21:47:47 | CONTRIBUTOR | null | https://4e18c21c9d33d20f-dot-datalab-vm-staging.googleusercontent.com/#/runs/details/bb97866a-d8ad-44a1-bd8e-c28f8df1a560
```
1.1
F0413 20:03:23.231673 1 main.go:56] Failed to successfuly execute component: rpc error: code = Aborted desc = mysql_query aborted: errno: 1213, error: Deadlock found when trying t... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5462 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5462/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5462/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5462/events | https://github.com/kubeflow/pipelines/issues/5462 | 856,404,147 | MDU6SXNzdWU4NTY0MDQxNDc= | 5,462 | [frontend] Pipeline generic installation does not include a virtual service | {
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"Thank you @nakfour for submitting this request!\r\n\r\n@Bobgy and I have discussed about this issue and our initial thinking is to perform following refactorings:\r\n\r\n1. For `ml-pipeline-ui` VirtualService, we need to create a folder called `ml-pipeline-ui` under https://github.com/kubeflow/pipelines/tree/maste... | 2021-04-12T22:21:53 | 2021-04-19T16:44:17 | 2021-04-19T16:44:17 | MEMBER | null | When installing "platform-agnostic" and trying to get to the pipeline UI from the Kubeflow central dashboard, we get "Sorry, /pipeline/ is not a valid page". Checking for virtualservices in namespace kubeflow, there are none for pipelines. Looking at the code, we dont see a VirtualService created : https://github.com/k... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5460 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5460/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5460/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5460/events | https://github.com/kubeflow/pipelines/issues/5460 | 856,305,867 | MDU6SXNzdWU4NTYzMDU4Njc= | 5,460 | mlpipeline-ui-metadata.json not shown in output artifacts, using common pipeline volume. | {
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"> fileOutputs: \r\n> MLPipeline UI metadata: /mlpipeline-ui-metadata.json\r\n\r\nWe do not support `fileOutputs`. It was deprecated from the start. Please use `outputPath` placeholder instead.\r\n\r\n> args:\r\n> - {outputPath: MLPipeline UI metadata}\r\n\r\nThis is correct. Thank you.\r\n\r\nLet's d... | 2021-04-12T19:46:14 | 2021-05-19T06:33:39 | 2021-05-18T13:19:08 | MEMBER | null | ### What steps did you take
## Approach 1:
https://www.kubeflow.org/docs/components/pipelines/sdk/output-viewer/
As mentioned in the above link, we tried to write mlpipeline-ui-metadata.json to `/mlpipeline-ui-metadata.json`
this throws the below error
`invalid mount config for type "bind": invalid specificati... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5457 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5457/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5457/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5457/events | https://github.com/kubeflow/pipelines/issues/5457 | 855,415,989 | MDU6SXNzdWU4NTU0MTU5ODk= | 5,457 | [frontend] Some frontend tests are locale-dependent | {
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"Good catch! +1 to set a locale during test"
] | 2021-04-11T21:50:39 | 2021-04-15T15:29:13 | 2021-04-15T15:29:13 | CONTRIBUTOR | null | When I run Frontend tests on my machine I get many errors:
```
Test Suites: 9 failed, 44 passed, 53 total
Tests: 34 failed, 1038 passed, 1072 total
Snapshots: 14 failed, 307 passed, 321 total
```
I expect the tests to pass under any system locale.
Perhaps the tests can specify an explicit locale that... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5453 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5453/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5453/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5453/events | https://github.com/kubeflow/pipelines/issues/5453 | 854,657,939 | MDU6SXNzdWU4NTQ2NTc5Mzk= | 5,453 | [Discuss] Should KFServing Component use InputPath? | {
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"I like the suggestion. Having file-based inputs always helps.\r\nI think that KFServe consuming the model as file, rather than as URL is significantly easier for the pipeline authors.\r\n\r\nThe change might be non-trivial, since the KFServing component needs to copy the data to the serving pod[s].\r\n\r\nYou can ... | 2021-04-09T16:04:00 | 2022-03-03T03:05:17 | 2022-03-03T03:05:17 | NONE | null | Apologies if this is the wrong project, I am not sure if this component is developed here or over in kfserving, but should there be a version of KFServing (or maybe at way to do it with one version) such that the URI is an InputPath so a newly trained model can be served as part of a pipeline? I have searched the issue... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5452 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5452/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5452/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5452/events | https://github.com/kubeflow/pipelines/issues/5452 | 854,595,566 | MDU6SXNzdWU4NTQ1OTU1NjY= | 5,452 | [backend] "platform-agnostic" missing "Viewer" CRD | {
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"cc @Bobgy @zijianjoy ",
"Thanks for the report @nakfour!\r\nI want to confirm you are doing the right thing, read KFP standalone installation guide in https://www.kubeflow.org/docs/components/pipelines/installation/standalone-deployment/#deploying-kubeflow-pipelines.\r\n\r\nCRDs are installed separated in:\r\n\r... | 2021-04-09T14:49:23 | 2021-04-19T16:44:17 | 2021-04-19T16:44:17 | MEMBER | null | As part of the effort to get the Openshift distribution ready for KF 1.3 release, we tried to install the "platform-agnostic" pipeline kustomization and it is missing the "Viewer" CRD. Also discussed here https://github.com/kubeflow/manifests/issues/1810.
PR here: https://github.com/kubeflow/manifests/blob/63c9026ee3... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5450 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5450/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5450/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5450/events | https://github.com/kubeflow/pipelines/issues/5450 | 854,252,011 | MDU6SXNzdWU4NTQyNTIwMTE= | 5,450 | [backend] Sample pipeline "[Demo] TFX - Taxi tip prediction model trainer" failed with "Invalid bucket name: '{{kfp-default-bucket}}'" | {
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"Hi @myoshimu, you can edit the parameter and replace {{kfp-default-bucket}} with your own bucket.\r\n\r\nbut you are right, it should be replaced automatically during installation, it's strange that failed",
"/assign @zijianjoy ",
"/assign @capri-xiyue ",
"This issue has been automatically marked as stale be... | 2021-04-09T07:29:08 | 2021-12-13T19:22:55 | 2021-12-13T19:22:55 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Deployed the KFP from GCP marketplace with [this step](https://cloud.google.com/ai-platform/pipelines/docs/getting-started
).
* KFP version:
1.4.1
* KFP SDK version:
1.4.1
### Steps to reproduce
1) Deploy KFP with the step below
https://c... | {
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"Hi @chauhang, thank you for the report!\r\nIt's not currently possible, but I think the best way to support this is:\r\n1. you build a tensorboard image that already installs torch-tb-profiler\r\n2. you use https://github.com/kubeflow/pipelines/issues/5471 to switch to your custom tensorboard image\r\n\r\nHow does... | 2021-04-09T04:10:29 | 2021-05-11T07:45:43 | 2021-05-11T07:45:43 | CONTRIBUTOR | null | We are working on KFP components for PyTorch and trying to figure out how to see the PyTorch Profiler Tensorboard plugin in the KFP Tensorboard viewer. It requires additional `pip install torch-tb-profiler`. For more details please [see]( https://github.com/pytorch/kineto/tree/master/tb_plugin).
What will be the st... | {
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"1. https://github.com/kubeflow/pipelines/blob/9116a5a162ac36a2615d4185d879dabfd0d7ad9a/backend/api/experiment.proto#L178-L182 has not been changed. \r\n\r\n2. swagger file has been changed in this PR https://github.com/kubeflow/pipelines/pull/4906/files#r573449242\r\n\r\nI think it's due to higher version generat... | 2021-04-08T10:10:33 | 2021-04-17T01:52:14 | 2021-04-17T01:52:14 | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP version: 1.5.0-rc
<!-- Specify the version of Kubeflow Pipelines that you are using. The version number... | {
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"The intermediate data storage is considered to be implementation detail.\r\nWe advice our users to make any data export explicit. This way they can easily control the location of the exported data.\r\nIf you want to put the artifact into a GCS bucket, just pass it to an `Upload to GCS` component.\r\nSee this pipel... | 2021-04-07T14:49:07 | 2022-04-18T17:27:34 | 2022-04-18T17:27:34 | NONE | null | ### Feature Area
<area>sdk</area>
### What feature would you like to see?
SDK to download component output artifact after run
### What is the use case or pain point?
Output artifact can only be downloaded via UI, but not via SDK. Automation is difficult.
### Is there a workaround currently?
Don't k... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5440 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5440/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5440/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5440/events | https://github.com/kubeflow/pipelines/issues/5440 | 852,237,880 | MDU6SXNzdWU4NTIyMzc4ODA= | 5,440 | [backend] grpc: received message larger than max | {
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"Can you provide a sample for us to verify the problem?",
"In addition, can you also deploy latest KFP to see whether it gets fixed?",
"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"
... | 2021-04-07T09:58:09 | 2021-12-13T19:23:13 | 2021-12-13T19:23:13 | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
kfctl and KubeFlow v1.1.0 istio dex
* KFP version:
v1.0.0
* KFP SDK version:
v1.1.2
### Steps to reproduce
Latest version of TFX (0.29.0rc0) introduced an IR of the pipeline definitions. For larger pipelines (>20 nodes) these are quite la... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5439 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5439/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5439/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5439/events | https://github.com/kubeflow/pipelines/issues/5439 | 852,228,410 | MDU6SXNzdWU4NTIyMjg0MTA= | 5,439 | [feature] Update MLMD version and add process to keep this up to date. | {
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"Note, updating MLMD is fairly complex, we need to update all the 7 locations listed in https://github.com/kubeflow/pipelines/blob/1128631cd5b4335080fb70ca35f864dbedb8b2cf/manifests/kustomize/base/metadata/base/metadata-grpc-deployment.yaml#L19-L24\r\n\r\nSome of them are not well documented, so I'd suggest delayin... | 2021-04-07T09:47:06 | 2023-08-07T18:46:16 | null | CONTRIBUTOR | null | Currently pipelines uses gcr.io/tfx-oss-public/ml_metadata_store_server version `0.25.1` but `0.29.0` is the latest version. The image tag in [metadata-grpc-deployment.yaml](https://github.com/kubeflow/pipelines/blob/master/manifests/kustomize/base/metadata/base/metadata-grpc-deployment.yaml) needs updating.
To autom... | {
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"According to @chensun , the `staging_gcs_path` is a required field in sdk code. \r\nThis `kfp.compile.build_python_component` was deprecated before but was revived recently. We may want to deprecate it again sometime in the future.",
"Could you try using `kfp.components.create_component_from_func` instead? You c... | 2021-04-07T08:30:31 | 2021-04-13T11:43:57 | 2021-04-13T11:43:57 | NONE | null | Hi! Is it possible to use `kfp.compile.build_python_component` without using google cloud storage (for the parameter `staging_gcs_path`)?
I'm trying to run the [pipeline SDK tutorial ](https://v0-7.kubeflow.org/docs/pipelines/sdk/sdk-overview/) locally and this step
```
OUTPUT_DIR = 'local_tmp_dir/
my_op = co... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5436 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5436/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5436/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5436/events | https://github.com/kubeflow/pipelines/issues/5436 | 851,814,320 | MDU6SXNzdWU4NTE4MTQzMjA= | 5,436 | Using a Google Service Accounts on AI Platform Pipeline Deployment to access Google Secret Manager | {
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> For AI Platform Pipelines, Compu... | {
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