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https://api.github.com/repos/kubeflow/pipelines/issues/7855 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7855/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7855/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7855/events | https://github.com/kubeflow/pipelines/issues/7855 | 1,263,810,515 | I_kwDOB-71UM5LVDfT | 7,855 | [frontend] Run Comparison Refresh button broken | {
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* How did you deploy Kubeflow Pipelines (KFP)?
Kubeflow Pipelines Standalone
* KFP version:
2.0.0-alpha.2
### Steps to reproduce
1. Go to the "Runs" tab on KFP
2. Clone an existing run (preferably one that completes successfully and quickly)
3. On a new tab, go to the "Runs" tab o... | {
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"Maybe try using a container op and wrap the secret parameter inside?\r\nhttps://kubernetes.io/docs/concepts/configuration/secret/#using-secrets-as-files-from-a-pod\r\n\r\nHere is an example of passing gcp secret:\r\nhttps://github.com/kubeflow/examples/blob/871895c54402f68685c8e227c954d86a81c0575f/pipelines/mnist-... | 2022-06-07T15:18:09 | 2022-08-16T08:27:40 | 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?
- Given a pipeline with a parameter "api_key",
- when a user triggers a run ... | {
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"Could you please specify which hyperparameter you are referring to? A link would help.",
"I am referring to setting the GCP tags on [this](https://github.com/kubeflow/pipelines/blob/master/components/google-cloud/google_cloud_pipeline_components/experimental/hyperparameter_tuning_job/component.yaml) component to... | 2022-06-06T20:13:32 | 2022-06-10T06:27:28 | null | NONE | null | ### Feature Area
/area components
### What feature would you like to see?
Support labels in the HyperparameterTuningJob
---
<!-- Don't delete message below to encourage users to support your feature request! -->
Love this idea? Give it a 👍. We prioritize fulfilling features with the most 👍.
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"Labels:\r\n\r\n/area sdk\r\n/area components",
"Here's an exemple run output:\r\n\r\nCanceled:\r\n\r\n\r\nCached:\r\n![image](https://user-images.githubusercontent.com/93535080/172198937-b8b5b7df-f8e3-4... | 2022-06-06T15:28:24 | 2022-06-16T22:54:42 | null | NONE | null | ### What steps did you take
Create a pipeline with the followings tasks:
- A dataflow job
- WaitGcpResourcesOp on that dataflow job
### What happened:
If the run fails or is canceled while WaitGcpResourcesOp is running, the dataflow job gets cached as successful (only the WaitGcpResourcesOp step is marked ... | {
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"Hello @cgebbe , can you describe how the `TypedDict` support will help you check typo?\r\n\r\n/assign @connor-mccarthy "
] | 2022-06-06T06:12:04 | 2022-06-23T22:56:30 | null | NONE | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
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/area components
### What feature would you like to see?
Given the following code example: https://github.com/kubeflow/pipelin... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7842 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7842/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7842/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7842/events | https://github.com/kubeflow/pipelines/issues/7842 | 1,260,644,140 | I_kwDOB-71UM5LI-cs | 7,842 | Show parameters comparison for V2 Run Comparison page | {
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"The parameter comparison was implemented in https://github.com/kubeflow/pipelines/pull/8105, and a separate issue for scalability was raised at https://github.com/kubeflow/pipelines/issues/8131. For reference, the Parameters section uses an analogous organization algorithm to the KFPv1 Run Comparison page, and the... | 2022-06-04T05:06:23 | 2022-08-10T19:11:36 | 2022-08-10T19:11:36 | COLLABORATOR | null | # Description
1. Retrieve parameters from backend
2. Determine the strategy about how to show parameter comparison
3. Scalability: How to handle comparison when number of parameters is very high? | {
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"This page has now been implemented, and these points are elaborated on in detail in the internal design doc as well as PR descriptions. We do not provide much functionality for users to adjust UI, though this will be an option if the parallel-coordinate plot is implemented for Scalar Metrics or Parameters."
] | 2022-06-04T05:06:19 | 2022-08-10T19:08:38 | 2022-08-10T19:08:38 | COLLABORATOR | null | # Description
1. List the types of metrics we want to compare
2. Implement an efficient strategy to fetch these metrics
3. Provide functionality for users to adjust UI (For example: dropdown/checkbox for better comparison) | {
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"This page has now been implemented; these questions are answered in detail in the internal design doc, and next steps are provided via GitHub Issues ([[1]](https://github.com/kubeflow/pipelines/issues/8129), [[2]](https://github.com/kubeflow/pipelines/issues/8130), [[3]](https://github.com/kubeflow/pipelines/issue... | 2022-06-04T05:06:15 | 2022-08-10T19:02:56 | 2022-08-10T19:02:55 | COLLABORATOR | null | # Description
Design the Run Comparison page for KFPv2. The main discussion points are:
1. What are critical user journeys?
2. How to handle compatibility with KFPv1?
3. What metrics does Run Comparison page compare? (for example: parameters, metrics, etc.)
4. How to compare metrics? (Side-by-side, combined ch... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7836 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7836/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7836/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7836/events | https://github.com/kubeflow/pipelines/issues/7836 | 1,260,342,986 | I_kwDOB-71UM5LH07K | 7,836 | Please support the traffic_percentage argument in the deploy_endpoint Google Cloud Pipeline Component | {
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"Note that the traffic_percentage argument is not supported in the V1 [ModelDeployOp](https://github.com/kubeflow/pipelines/blob/master/components/google-cloud/google_cloud_pipeline_components/v1/endpoint/deploy_model/component.yaml) either.",
"The ModelDeployOp interface aligns with the [API definition](https://... | 2022-06-03T20:25:23 | 2023-01-27T23:45:25 | 2023-01-27T23:45:25 | NONE | null | The [aiplatform.Model.deploy](https://github.com/googleapis/python-aiplatform/blob/main/google/cloud/aiplatform/models.py#L629
) method allows users to specify either a traffic percentage or a traffic split parameter. Either, but not both, can be used to specify the amount of traffic to route to a newly deployed model... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7832 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7832/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7832/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7832/events | https://github.com/kubeflow/pipelines/issues/7832 | 1,259,274,762 | I_kwDOB-71UM5LDwIK | 7,832 | [feature] add `component_id` and `component_version` to Component YAML spec | {
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"We are considering supporting this feature in the future, but don't have immediate plan for now. For V1 yaml, you can use metadata field to store version info. You can also use hash as reference for versions."
] | 2022-06-03T02:45:31 | 2022-06-09T22:41:22 | null | MEMBER | null | ### Feature Area
/area components
### What feature would you like to see?
Right now, Kubeflow Pipelines has no native concept of "versioning" the same Component YAML over time.
If changes are made to a Component's YAML, existing pipelines may break or do unexpected things.
Given this, the only sensible st... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7827 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7827/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7827/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7827/events | https://github.com/kubeflow/pipelines/issues/7827 | 1,258,957,870 | I_kwDOB-71UM5LCiwu | 7,827 | [frontend] Run Comparison filter mechanism broken | {
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* How did you deploy Kubeflow Pipelines (KFP)?
Kubeflow Pipelines Standalone
* KFP version:
2.0.0-alpha.2
### Steps to reproduce
1. Go to the "Runs" tab on KFP
2. Select at least two runs, and click "Compare runs"
3. Type something into the "Filter runs" field which should filter ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7823 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7823/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7823/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7823/events | https://github.com/kubeflow/pipelines/issues/7823 | 1,258,432,574 | I_kwDOB-71UM5LAig- | 7,823 | [Question] Plans for 2.0 release? | {
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"bumping this question. Also when will there be another alpha release? I wanted to get [this patch](https://github.com/kubeflow/pipelines/pull/8343).",
"@chensun @Linchin hey, just bumping again to ask if any releases are planned?",
"Hi @davidxia, thank you for asking. The v2 beta version was planned to be rele... | 2022-06-02T16:34:24 | 2023-01-12T21:35:09 | null | CONTRIBUTOR | null | Hi folks, qq, is there any estimate on dates for kfp==2.0.0rc0 release and 2.0.0 full support from backend (trying to undestand better the current story around this).
I have seen that 2.0.0alpha is going out in a new release of Kubeflow, but would be interesting to learn when is 2.0 release anticipated (or if it's m... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7818 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7818/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7818/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7818/events | https://github.com/kubeflow/pipelines/issues/7818 | 1,256,086,159 | I_kwDOB-71UM5K3lqP | 7,818 | [feature] Add authorization to both ReadArtifacts and ReportMetrics endpoints | {
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"/assign @chensun ",
"Related: https://github.com/kubeflow/pipelines/issues/4649"
] | 2022-06-01T14:01:48 | 2022-08-04T10:24:07 | 2022-08-04T10:24:07 | MEMBER | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
</area backend >
<!-- /area sdk -->
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
Ensure that the user has permission to call [ReadArtifacts](https:/... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7817 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7817/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7817/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7817/events | https://github.com/kubeflow/pipelines/issues/7817 | 1,255,565,352 | I_kwDOB-71UM5K1mgo | 7,817 | [Question]: Replace Kubeflow Minio | {
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"You can replace your minio image in https://github.com/kubeflow/pipelines/blob/master/manifests/kustomize/third-party/minio/base/minio-deployment.yaml#L33"
] | 2022-06-01T10:04:49 | 2022-06-16T23:16:56 | null | NONE | null | I want to replace Kubeflow Minio component with the enterprise Minio that my company maintains.
What changes should I make in order to achieve this.
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https://api.github.com/repos/kubeflow/pipelines/issues/7812 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7812/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7812/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7812/events | https://github.com/kubeflow/pipelines/issues/7812 | 1,253,747,492 | I_kwDOB-71UM5Kuqsk | 7,812 | [bug] Artifacts UI gets populated only when using pipelines SDK v2, It doesn't show any data if using kfp SDK v1 | {
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"Facing same issue, can we get any resolution to this?",
"Hello @pranavaninadam , there's no artifact in your example 1. Here is the basic definition of artifacts and parameters: https://www.kubeflow.org/docs/components/pipelines/sdk-v2/v2-component-io/#artifacts-and-parameters. Please take a look at it. ",
"Hi... | 2022-05-31T11:46:45 | 2022-06-21T02:25:21 | 2022-06-16T22:42:24 | NONE | null |
### Artifacts UI gets populated only when using pipelines SDK v2, It doesn't show any data if using kfp SDK v1
### What happened:
**Example-1**
```
NAMESPACE = "kubeflow-user-example-com"
EXPERIMENT_NAME = "sample-artifacts"
import kfp
import kfp.components as components
import kfp.dsl as dsl
from ... | {
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"Would you mind sharing which version that you are using?",
"version 1.8.1 ",
"In the process of upgrading Kubeflow 1.2 to 1.5 on GCP\r\nEnvironment:\r\nHow do you deploy Kubeflow Pipelines (KFP)? Our platform team deploys with a customized GCP procedure.\r\nVersion:\r\nkfp==1.8.12\r\nkfp-pipeline-spec==0.1.14\... | 2022-05-30T00:56:25 | 2023-03-02T20:01:28 | null | NONE | null | ### What steps did you take
1. Create a "hello-world" pipeline using: https://raw.githubusercontent.com/kubeflow/pipelines/master/backend/test/resources/hello-world.yaml
2. Create a recurring run using pipeline "hello-world"
3. Wait after a Run is started and completed.
4. Clone the Run, and click Start button, i... | {
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"Would you please share which code you are using? Thank you.",
"For sure. We started with the declaration of pipelines via DSL syntax. Here I tried to minimize the number of steps, just creating a TensorFlow model and saving it as an Artifact:\r\n```\r\nimport kfp\r\nimport kfp.dsl as dsl\r\nfrom kfp.v2.dsl impor... | 2022-05-28T08:58:47 | 2022-06-10T08:28:37 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
AWS EKS k8s cluster + vanilla installation with multi-user auth
* KFP version:
1.7
### Steps to reproduce
In Kubeflow pipelines V2 when an artifact is a folder it is not possible to download the Artifact via UI. Data is passed between compo... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7794 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7794/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7794/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7794/events | https://github.com/kubeflow/pipelines/issues/7794 | 1,249,939,667 | I_kwDOB-71UM5KgJDT | 7,794 | create_component_from_func vs func_to_container_op | {
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"What is the difference between create_component_from_func and func_to_container_op?\r\nThey are equivalent, but func_to_container_op is deprecated in v2 of the SDK. For more information on what has been deprecated see here:\r\nhttps://github.com/kubeflow/pipelines/issues/6133\r\n\r\nCredit: Alexandre Brown in Comm... | 2022-05-26T19:05:42 | 2022-07-20T17:47:16 | 2022-06-23T22:49:35 | NONE | null | I don't seem to understand the behavior behind these two functions.
I have been using `create_component_from_func` for all of my pipelines, however all tutorials and guides I'm seeing online use `func_to_container_op` and the docstrings don't explain them enough (They both say `Converts a Python function to a componen... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7792 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7792/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7792/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7792/events | https://github.com/kubeflow/pipelines/issues/7792 | 1,249,813,219 | I_kwDOB-71UM5KfqLj | 7,792 | How to pass in already existing VertexDataset or VertexModel to a KF/Vertex Pipeline? | {
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"For those that encounter this issue, the solution is here:\r\n\r\nhttps://cloud.google.com/vertex-ai/docs/pipelines/use-components#use_python_function-based_components"
] | 2022-05-26T16:53:37 | 2022-05-26T17:59:50 | 2022-05-26T17:59:49 | NONE | null | What seems to be the only supported means of passing a VertexDataset to an AutoML training job in a pipeline is to create the dataset as part of the same pipeline.
I have not found a way to pass the URI or resource name of an existing dataset to an AutoML Training task in a Vertex Pipeline, tasks that take a model... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7778 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7778/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7778/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7778/events | https://github.com/kubeflow/pipelines/issues/7778 | 1,246,568,643 | I_kwDOB-71UM5KTSDD | 7,778 | [question]Can not visualize the results of my pipelines component until component is completed | {
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I have 2 questions:
1. Is there a way I can use tensorboard while training component is working(not f... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7777 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7777/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7777/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7777/events | https://github.com/kubeflow/pipelines/issues/7777 | 1,246,004,430 | I_kwDOB-71UM5KRITO | 7,777 | kfp_server_api.exceptions.ApiException: (500) - failed to authenticate with kubeflow pipeline | {
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"By further research, found [How to do programmatic authentication with Dex? #140](https://github.com/kubeflow/kfctl/issues/140#issuecomment-719894529). By modifying the code as per the solution provided there, it worked.\r\n\r\nPlease clarify if this we need to do. If so, please confirm where it is documented?\r\n... | 2022-05-24T05:27:54 | 2022-06-16T23:02:28 | null | NONE | null | # Objective
Please provide the steps how to implement the authentication for Kubeflow pipeline addressed in [Add authentication with ServiceAccountToken #5138](https://github.com/kubeflow/pipelines/issues/5138)
# Background
The [Kubeflow sdk - error in client.list_experiments()][1] refers to [Kubeflow sdk - error ... | {
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"Hi @we10710aa, you can try disable caching following this instruction to block yourself. https://www.kubeflow.org/docs/components/pipelines/overview/caching/#disablingenabling-caching\r\n\r\nAnd in the WIP KFP v2, we have a different implementation, maybe it will be compatible with your use case."
] | 2022-05-19T12:39:25 | 2022-05-26T22:59:46 | null | NONE | null | When cache-server find correspond result in cache, it remove the init container of pipeline pod and keep all annotations. This will cause pod with following annotations fail to be created.
``container.apparmor.security.beta.kubernetes.io/init=runtime/default``
The kube-apiserver will reject the create api call b... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7756 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7756/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7756/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7756/events | https://github.com/kubeflow/pipelines/issues/7756 | 1,240,700,310 | I_kwDOB-71UM5J85WW | 7,756 | Create a new page for V2 Run Comparison | {
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Create a new V2 Run Comparison page, when two or more V2 pipelines are selected, the `Compare Run` button is enabled. If the selected runs are all V2 pipeline runs, redirect users to V2 Run Comparison page. We only need to show a message for now to tell whether it is V2 Run Comparison page, no need for... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7740 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7740/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7740/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7740/events | https://github.com/kubeflow/pipelines/issues/7740 | 1,238,819,795 | I_kwDOB-71UM5J1uPT | 7,740 | [feature] Add startup probe to pipeline API deployment | {
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] | 2022-05-17T15:30:29 | 2022-05-23T18:25:41 | 2022-05-23T18:25:40 | CONTRIBUTOR | null | ### Feature Area
/area backend
### What feature would you like to see?
When we pivoted from an in-cluster mysql deployment to an externally hosted RDS instance for the metadata store, we ran into a scenario where the ml-pipeline-apiserver pod couldn't start because it didn't have a long enough grace period to comp... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7731 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7731/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7731/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7731/events | https://github.com/kubeflow/pipelines/issues/7731 | 1,236,811,937 | I_kwDOB-71UM5JuECh | 7,731 | [bug] The pipeline UI shows that the pipeline has been running, but I have turned it off | {
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"cc/ @zijianjoy ",
"The already started step will continue running, only the subsequent step will be terminated. Does it answer your question?",
"It is still going on without stopping, as if ... | 2022-05-16T08:33:59 | 2022-06-23T06:45:07 | null | NONE | null | ### What steps did you take
When the scheduled task is executed, I delete it and turn off the automatically generated run.
### What happened:
The pipeline UI shows that the pipeline has been running, but I have turned it off
### What did you expect to happen:
The UI interface should show the status of closi... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7730 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7730/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7730/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7730/events | https://github.com/kubeflow/pipelines/issues/7730 | 1,236,576,257 | I_kwDOB-71UM5JtKgB | 7,730 | [grpc-gateway] upgrade grpc-gateway to v2 | {
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"Thank you @hsinhoyeh ! Indeed we are still using grpc-gateway v1 and I hope we can upgrade to v2. However, there are breaking changes that I don't have enough bandwidth to look into yet. I am hoping that we can introduce a new API package which can keep this upgrade contained. If you have trie... | 2022-05-16T03:46:40 | 2022-05-29T03:12:28 | null | CONTRIBUTOR | null | ### Feature Area
[grpc gateway](https://github.com/grpc-ecosystem/grpc-gateway) provides an HTTP way to communicate the underlying GRPC services (defined in the same proto file), and since version v1.14, the community suggests that the v1 is under maintenance mode and suggest to upgrade to v2. https://github.com/grp... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7728 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7728/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7728/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7728/events | https://github.com/kubeflow/pipelines/issues/7728 | 1,235,908,377 | I_kwDOB-71UM5JqncZ | 7,728 | [feature] create run from pipeline func locally | {
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In this current feature request, i would like to ask support to run kfp pipelines locally in the particular case when all co... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7727 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7727/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7727/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7727/events | https://github.com/kubeflow/pipelines/issues/7727 | 1,235,886,855 | I_kwDOB-71UM5JqiMH | 7,727 | Can pipeline components provide http services within the cluster? | {
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"Now I can create the pipeline with the following code:\r\n```\r\nimport kfp\r\nimport kfp.dsl as dsl\r\nimport kfp.components as comp\r\n\r\n@dsl.pipeline(\r\n name='test demo pipeline',\r\n description='test demo pipeline'\r\n)\r\ndef prepare_data_pipeline():\r\n \r\n start_service_op = kfp.dsl.Containe... | 2022-05-14T06:13:39 | 2022-05-20T00:43:00 | 2022-05-20T00:43:00 | NONE | null | Can pipeline components provide http services within the cluster? For example, I have a data processing and analysis pipeline, which is designed to run for 1 hour. Other pods in the cluster access this pipeline through http requests to process the data and obtain results. After 1 hour, the pipeline runs and analyzes th... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7719 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7719/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7719/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7719/events | https://github.com/kubeflow/pipelines/issues/7719 | 1,235,353,592 | I_kwDOB-71UM5Jof_4 | 7,719 | [bug] Cannot find how to type pipeline parameters for JsonArray or JsonObject | {
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"I recognize this isn't a bug, however I do not know what else to describe it as, nor where to find this information. I've tried the KFP documentation and the myriad of oddly organized and incomplete GCP documentation on Vertex AI Pipelines.",
"For anyone who comes across this, [`jsonobject`](https://pypi.org/pro... | 2022-05-13T14:57:49 | 2022-12-10T10:34:54 | 2022-05-16T18:45:05 | NONE | null | ### What steps did you take
I'm trying to utilize the ModelBatchPredictOp from the GCP Components. There are two fields, one with a type of `JsonObject` and the other with the type `JsonArray`. The pipeline accepts the fields for this operator as input parameters to the pipeline and passes them to the operator in ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7718 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7718/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7718/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7718/events | https://github.com/kubeflow/pipelines/issues/7718 | 1,235,317,073 | I_kwDOB-71UM5JoXFR | 7,718 | [sdk] v2: mount_pvc fails with parameters if other parameters are given to component | {
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"Thanks, @laserK3000. V2 compatible mode is deprecated and not currently supported. And, unfortunately, this is not yet a feature in V2. I would proceed with the previous approach that is successful in V1."
] | 2022-05-13T14:25:43 | 2022-05-19T22:56:58 | null | NONE | null | ### Environment
* KFP version:
standalone
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP SDK version:
1.8.1
<!-- Specify the version of Kubeflow Pipelines that you are using. The version number appears in the le... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7717 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7717/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7717/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7717/events | https://github.com/kubeflow/pipelines/issues/7717 | 1,235,143,415 | I_kwDOB-71UM5Jnsr3 | 7,717 | [backend] cannot enter chroot for container named "main" error with Kubeflow Pipelines version 1.8.1 | {
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"Hi @Priyanka4pc, we don't officially support minikube deployment, maybe you can try one of the these local deployment choices: https://www.kubeflow.org/docs/components/pipelines/installation/localcluster-deployment/",
"The same also happens when we use kind nonetheless. Same steps to reproduce except we use `kin... | 2022-05-13T11:53:40 | 2022-10-12T15:38:17 | 2022-05-26T22:45:16 | NONE | null | ### Describe the issue
* We are getting a random error PID error when using version 1.8.1 of the Standalone deployment of Kubeflow pipelines with both emissary and pns executors.
* All the runs where this errors comes, the clone of the run or retry works completely fine. So a guess is that this error only comes wh... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7716 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7716/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7716/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7716/events | https://github.com/kubeflow/pipelines/issues/7716 | 1,234,930,293 | I_kwDOB-71UM5Jm4p1 | 7,716 | [bug] ERROR1040: too many connections | {
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"Thanks for raising this and sorry to hear you're having issues. Unfortunately, KFP 0.7 is not currently supported.\r\n\r\nPlease consider trying KFP 1.8.1 and let us know if the issue exists in the 1.8 distribution.",
"@connor-mccarthy thank you for the suggestions. We'll try."
] | 2022-05-13T08:51:13 | 2022-05-20T16:50:21 | 2022-05-20T16:50:21 | NONE | null | ### What steps did you take
I have a use case that calling kubeflow backend service to get run id in a very high rps: about 200. However, I got HTTP 400 on my proxy. After looking into the root cause, I found error messages in ml-pipeline pod.
### What happened:
InternalServerError: Failed to get run: Error 1040... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7714 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7714/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7714/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7714/events | https://github.com/kubeflow/pipelines/issues/7714 | 1,234,827,219 | I_kwDOB-71UM5JmffT | 7,714 | [bug] CrashLoopBackOff deploying standalone KFP to custom namespace | {
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"Created PR #7715 ",
"Hi @markgeejw what is the k8s engine you're using with your on-prem cluster, and secondly in which namespace did you deploy minio?\r\nAfter you changed the manifest, does it work for you?",
"I’m using kubeadm with containerd and calico. I deployed to a namespace with my own name, and yes a... | 2022-05-13T07:06:56 | 2023-02-13T21:07:30 | 2023-02-13T21:07:30 | CONTRIBUTOR | null | ### What steps did you take
Deploy kfp standalone to on-premise k8s cluster, with custom namespace described in [docs](https://www.kubeflow.org/docs/components/pipelines/installation/standalone-deployment/#change-deployment-namespace).
### What happened:
ml-pipeline-viewer-crd pod goes into CrashLoopBackOff w... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7709 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7709/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7709/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7709/events | https://github.com/kubeflow/pipelines/issues/7709 | 1,234,340,924 | I_kwDOB-71UM5Jkow8 | 7,709 | [sdk] Function names with underscores lead to pipeline errors when used in v2 compatible mode | {
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"OK, I think I have mixed v1 an v2 mode here by using `kfp.components.create_component_from_func` on a v2 decorated function. Should this case be catched by an error message?",
"> OK, I think I have mixed v1 an v2 mode here by using `kfp.components.create_component_from_func` on a v2 decorated function. Should th... | 2022-05-12T18:29:07 | 2022-05-26T22:41:51 | 2022-05-26T22:41:51 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
standalone
* KFP version:
Version: 1.8.1
* KFP SDK version:
kfp 1.8.12
kfp-pipeline-spec 0.1.14
kfp-server-api 1.8.1
### Steps to reproduce
When building a component from a Python functio... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7706 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7706/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7706/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7706/events | https://github.com/kubeflow/pipelines/issues/7706 | 1,234,093,116 | I_kwDOB-71UM5JjsQ8 | 7,706 | [feature] Compile processing of PipelineParam | {
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"I've also been wrestling with this for a while now.\r\n\r\nWould like to highlight another problem that comes from the same behavior -- if you try to add string PipelineParams to a list within a component, the compiler fails because PipelineParams are not JSON serializable. \r\n\r\nFor example:\r\n```\r\nfrom typi... | 2022-05-12T14:42:41 | 2023-05-10T15:57:44 | null | NONE | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
<!-- /area backend -->
/area sdk
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
<!-- Provide a description of this feature and the user experience. -... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7705 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7705/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7705/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7705/events | https://github.com/kubeflow/pipelines/issues/7705 | 1,234,006,091 | I_kwDOB-71UM5JjXBL | 7,705 | [question] All possible status codes of Kubeflow Runs | {
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"Hi, @yarnabrina. You can find the set of possible status values in the `run.proto` definition here: https://github.com/kubeflow/pipelines/blob/0932905ff58a5effae510a9eeb30bbe86fc3adf1/backend/api/run.proto#L254-L255.\r\n\r\nPlease re-open if you have any other questions on this topic."
] | 2022-05-12T13:41:10 | 2022-05-20T10:38:20 | 2022-05-20T10:38:20 | NONE | null | We have a [`streamlit`](https://streamlit.io/) app, which triggers a pipeline run based on user inputs. We regularly check the status of the submitted run and inform the run state in the UI using the following function.
```python
import kfp
def get_run_status(run_id: str) -> str:
client = kfp.Client()
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https://api.github.com/repos/kubeflow/pipelines/issues/7701 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7701/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7701/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7701/events | https://github.com/kubeflow/pipelines/issues/7701 | 1,232,971,540 | I_kwDOB-71UM5JfacU | 7,701 | [feature] Allow Graph Based XY Data as Artifact Type in UI + SDK (v2) | {
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"We are planning to implement Run Comparison feature, which can achieve the same goal without introducing new Artifact type.",
"Should be covered by https://github.com/kubeflow/pipelines/issues/8794"
] | 2022-05-11T17:28:17 | 2023-02-23T19:31:41 | null | NONE | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
/area frontend
<!-- /area backend -->
<!-- /area sdk -->
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
<!-- Provide a description of this feature and the user experience. -... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7700 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7700/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7700/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7700/events | https://github.com/kubeflow/pipelines/issues/7700 | 1,232,640,710 | I_kwDOB-71UM5JeJrG | 7,700 | "Data dimensions X do not match the number of labels passed X" error | {
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"/assign @zijianjoy ",
"Hello @easkerov , v2 compatible mode has been discontinued. Can you try the V2 alpha? (I means using KFP backend 2.0.0-alpha.2 and KFP SDK 2.0.0-alpha.3) Feel free to comment here if using v2 alpha doesn't work."
] | 2022-05-11T13:26:41 | 2022-05-23T21:28:58 | null | NONE | null | Hi,
I am using kubeflow pipelines SDK in v2 compatibility mode and trying to output the confusion matrix as documented [here](https://www.kubeflow.org/docs/components/pipelines/sdk/output-viewer/#confusion-matrix)
I have a multiclass classifier and produce matrix using `sklearn`. It creates a confusion matrix 3x... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7699 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7699/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7699/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7699/events | https://github.com/kubeflow/pipelines/issues/7699 | 1,232,591,351 | I_kwDOB-71UM5Jd9n3 | 7,699 | [bug] pod is forbidden: failed quota: kf-resource-quota: must specify cpu,memory | {
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"Hello @edwardhuanghz , do you want to parse the content of your `kf-resource-quota` resource? It looks like some quota restriction is applied to your cluster.",
"I'm a little confused. I'm running into this issue too. I have read that setting a user quota is the most sensible thing to do regarding cluster config... | 2022-05-11T12:51:29 | 2023-01-15T15:37:34 | null | NONE | null | ### What steps did you take
script below~
import kfp
from kfp.components import create_component_from_func
from kfp.dsl import pipeline
@create_component_from_func
def print_and_return_number(number: int) -> int:
print(number)
return(number)
@create_component_from_func
def sum_and_print_numbers(... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7697 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7697/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7697/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7697/events | https://github.com/kubeflow/pipelines/issues/7697 | 1,232,226,488 | I_kwDOB-71UM5Jcki4 | 7,697 | [Inquiry]Is there a way to display a figure when running pipeline? | {
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"Tried this:\r\nIn component code, output one html file:\r\n\r\n metadata = {\r\n 'outputs': [{\r\n 'storage': 'inline',\r\n 'source': '<h1>Hello, World!</h1>',\r\n 'type': 'web-app',\r\n }]\r\n }\r\n print(\" html path \", args.html)\r\n with open(args.htm... | 2022-05-11T08:44:20 | 2023-01-04T08:24:16 | 2022-05-17T02:19:21 | NONE | null | We have deployed one kubeflow pipeline which has several components, fetch data, preprocess, train model, etc. We are wondering whether in one of these components, we can draw a figure using plt.plot() on dataframe object, output this figure and then in Experiments UI, we can view this figure in Run Output section?
... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7686 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7686/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7686/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7686/events | https://github.com/kubeflow/pipelines/issues/7686 | 1,230,952,278 | I_kwDOB-71UM5JXtdW | 7,686 | [bug] Pipeline component CI failure - ERROR: No matching distribution found for google-cloud-storage==2.2.1 | {
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"/assign @chensun for fixing the python3.6 issue.",
"@chensun Do we have any fix to unblock this PR ?",
"@chensun \r\npulled the latest changes from master. build failing with following error\r\n\r\n```\r\nERROR: Could not find a version that satisfies the requirement cachetools==5.0.0 (from versions: 0.0.0, 0.... | 2022-05-10T10:34:01 | 2022-06-09T00:02:47 | null | CONTRIBUTOR | null | ### What steps did you take
We have updated the pytorch samples present in kubeflow pipelines to work with latest version of kserve (kserve v2 protocol). The PR(https://github.com/kubeflow/pipelines/pull/7615) has been blocked due to the CI failure
```
ERROR: Could not find a version that satisfies the requireme... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7681 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7681/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7681/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7681/events | https://github.com/kubeflow/pipelines/issues/7681 | 1,230,229,198 | I_kwDOB-71UM5JU87O | 7,681 | [feature] Frontend - pods summary tab | {
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"It is a nice feature to have, but KFPv2 has different mechanism than relying directly on ArgoWorkflow nodes. So it probably worths a formal design before introducing this feature. Will you be interested in composing it?",
"@zijianjoy Hi, Let me take a look at KFPv2 (as we are using v1.7.1) so I can check the new... | 2022-05-09T20:40:15 | 2022-05-16T20:13:41 | null | NONE | null | ### Feature Area
area frontend
### What feature would you like to see?
A summary page that will include the status of all the nodes in the graph in a specific run.
The idea is to implement a new tab that is much easier to navigate than a large graph.
We already implemented it for our kubeflow installation at... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7680 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7680/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7680/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7680/events | https://github.com/kubeflow/pipelines/issues/7680 | 1,230,222,854 | I_kwDOB-71UM5JU7YG | 7,680 | [feature] Frontend - pods summary tab | {
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area frontend
### What feature would you like to see?
A summary page that will include the status of all the nodes in the graph in a specific run.
The idea is to implement a new tab that is much easier to navigate than a large graph.
We already implemented it for our kubeflow installation at... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7676 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7676/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7676/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7676/events | https://github.com/kubeflow/pipelines/issues/7676 | 1,228,476,217 | I_kwDOB-71UM5JOQ85 | 7,676 | [backend] Output on GKE giving unclear error related to "container not found" | {
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"Just to be clear, this may be a GKE thing. I have an EKS deployment and it seems to run fine. But the error is very confusing regardless.",
"For what it's worth, I solved it by changing how I deployed kubeflow from manifests. You can read more about it here - https://github.com/SAME-Project/same-project/issues/1... | 2022-05-07T00:40:58 | 2022-06-29T22:18:41 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Just deployed directly from kubeflow manifests
* KFP version:
1.4.1, 1.5, 2.0.0 alpha
* KFP SDK version:
1.8.12
### Steps to reproduce
Upload the following yaml as a pipeline - run it: https://gist.github.com/aronchick/25d6fca71df0ef8... | {
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"Full Kubeflow deployment should have ml-pipeline-ui pod. Can you check the kubernetes resource status (`kubectl get all -n kubeflow`) to see whether your Kubeflow deployment is successful?"
] | 2022-05-06T18:47:33 | 2022-05-12T22:49:05 | null | NONE | null | ### Feature Area
[feature] ml-pipeline-ui is absent in Full kubeflow deployment
As i understand this https://www.kubeflow.org/docs/components/pipelines/sdk/connect-api/
i am able to run kubeflow pipeline from my PyCharm/localhost to the remote cluster via
```
client = kfp.Client()
print(client.list_experimen... | {
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KFP backend 2.0.0-alpha.1
### Steps to reproduce
1. Upload a pipeline using KFPv2 yaml format
2. Get the pipeline template by calling `GET Pipeline Template` API
3. The response of template is in JSON format.
Side note: If you upload a KFPv2 json format, it returns json format template, wh... | {
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"Merged https://github.com/kubeflow/kubeflow/pull/6478"
] | 2022-05-06T00:02:04 | 2022-11-08T21:59:23 | 2022-11-08T21:59:23 | CONTRIBUTOR | null | null | {
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"Thank you for the suggestion! Would you please share the code snippet that you used?",
"@Linchin Below is the definition code of my pipeline:\r\n```\r\n# Define the pipeline\r\n@dsl.pipeline(\r\n name='data volum demo pipeline',\r\n description='A toy pipeline that performs model training and prediction.'\r\... | 2022-05-05T08:59:07 | 2022-05-10T05:28:21 | 2022-05-10T05:28:21 | NONE | null | If I know the name of a pv and the data is stored in it, I want to use it directly
`VolumeOp `method will create a new empty pv which is not what I want | {
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"/assign @chensun ",
"Hi, customer here :)\r\n\r\nI'm having an issue that might be related to this ( according to https://issuetracker.google.com/issues/226569351 ). Happy to post elsewhere if not.\r\n\r\nThe `set_retry` does not appear to work when setting an integer `backoff_duration`. We get the error `Attrib... | 2022-05-04T23:06:16 | 2023-08-23T23:19:40 | 2023-08-23T23:19:40 | COLLABORATOR | null | For the KFP v2, **Retry Run** function hasn't been implemented. Currently, when users click retry button, they are blocked by this error message: https://screenshot.googleplex.com/3rFyhstqcjeyXAG.
Refer to:
https://github.com/kubeflow/pipelines/blob/master/backend/src/apiserver/resource/resource_manager.go#L557-L5... | {
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It directly calls isAuthorized(...), which doesn't add the API group to resourceAttributes. I think that is why I ended up with an error message like below:
```
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"Hello @pahask8 , would you mind providing the example you used for this run, so that we can reproduce the result for this issue. In addition, we would like to ask if you were using v1 mode or v2 mode for compiling the pipeline definition.",
"Hello @jlyaoyuli, thank you for quick update. I used v1 mode for compil... | 2022-05-04T01:26:47 | 2022-10-15T01:14:52 | 2022-10-15T01:14:52 | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Manifests [files](https://github.com/kubeflow/pipelines/tree/master/manifests/kustomize) from
* KFP version: 2.0.0-alpha.1 (worked well in 1.7.0, first observed in 1.8.1).
### Steps to reproduce
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"/assign @Linchin ",
"Potential cause: This pipeline contains OptionalInput.",
"> Potential cause: This pipeline contains OptionalInput.\r\n\r\nThen this should have been resolved via https://github.com/kubeflow/pipelines/issues/8716. @Linchin to verify",
"Just tried using beta.0, it's still not working. It t... | 2022-05-03T23:03:34 | 2023-04-04T21:33:04 | 2023-04-04T21:33:03 | COLLABORATOR | null | For the user journey test of upload pipeline. The testing pipeline https://github.com/kubeflow/pipelines/blob/master/sdk/python/kfp/compiler_cli_tests/test_data/xgboost_sample_pipeline.yaml was not able to be uploaded via URL. | {
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"followers_url": "https://api.githu... | null | [] | 2022-04-29T05:10:26 | 2022-05-05T22:39:45 | null | NONE | null | Hi! I'm try to use kubeflow pipeline to run my project ，and my project need to store data to mongodb . My mongodb is deploy in the K8s and it work fine, but when I use the kubeflow pipeline to create a mongodb connection, I got this error.
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https://api.github.com/repos/kubeflow/pipelines/issues/7638 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7638/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7638/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7638/events | https://github.com/kubeflow/pipelines/issues/7638 | 1,219,238,444 | I_kwDOB-71UM5IrBos | 7,638 | [feature] Pipeline level exit handler | {
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<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
/area backend
<!-- /area sdk -->
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
<!-- Provide a description of this feature and the user experience. -... | {
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The SDK currently requires [`typing-extensions>=3.7.4,<4`](https://github.com/kubeflow/pipelines/blob/2.0.0-alpha.1/sdk/python/requirements.in#L45).
### What feature would you like to see?
I would like the SDK to accept higher versions - `>=4` specifically.
### What is the use case or pain ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7629 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7629/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7629/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7629/events | https://github.com/kubeflow/pipelines/issues/7629 | 1,217,755,411 | I_kwDOB-71UM5IlXkT | 7,629 | [backend] OutputPath is giving "permission denied" - why? | {
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"Additional data - here's the generated yaml - line 317 is the one that worries me. It APPEARS it's putting in the string of `output_context_path` when shouldn't that be a variable? is that substituted at runtime? --\r\n\r\n```yaml\r\napiVersion: argoproj.io/v1alpha1\r\nkind: Workflow\r\nmetadata:\r\n generateName... | 2022-04-27T18:50:10 | 2023-08-29T20:51:45 | null | NONE | null | When I run a step that runs fine with Kubeflow v1 compatibility, it fails with the following error:
```
time="2022-04-26T21:53:30.710Z" level=info msg="capturing logs" argo=true
I0426 21:53:30.745547 18 launcher.go:144] PipelineRoot defaults to "minio://mlpipeline/v2/artifacts".
I0426 21:53:30.745908 18... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7627 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7627/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7627/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7627/events | https://github.com/kubeflow/pipelines/issues/7627 | 1,217,305,122 | I_kwDOB-71UM5Ijpoi | 7,627 | [sdk] pytorch launcher create_worker_spec error | {
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"@dblate Can you provide more information on this issue? Thanks. "
] | 2022-04-27T12:46:40 | 2022-05-05T22:44:48 | null | NONE | null | ### Environment
* KFP version:
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP SDK version:
<!-- Specify the version of Kubeflow Pipelines that you are using. The version number appears in the left side navigation... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7623 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7623/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7623/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7623/events | https://github.com/kubeflow/pipelines/issues/7623 | 1,216,504,773 | I_kwDOB-71UM5IgmPF | 7,623 | [backend] Unclear why compilation returns KeyError ['root'] | {
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"Turns out that I had a \"@component\" decorator over the function AND was using `kfp.components.create_component_from_func`. This caused the bug.",
"> Turns out that I had a \"@component\" decorator over the function AND was using `kfp.components.create_component_from_func`. This caused the bug.\r\n\r\nI have a ... | 2022-04-26T21:38:34 | 2022-11-09T15:50:46 | 2022-04-29T20:16:21 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
From manifests - 1.8.1
* KFP version:
1.8.1
* KFP SDK version:
1.8.12
### Steps to reproduce
Here's the execution code:
```
from google.cloud import aiplatform
job = aiplatform.PipelineJob(
display_name="MY_DI... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7617 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7617/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7617/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7617/events | https://github.com/kubeflow/pipelines/issues/7617 | 1,216,301,149 | I_kwDOB-71UM5If0hd | 7,617 | [frontend] "Failed to retrieve logs" in finished pipelines. | {
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"We automatically recycle the pods 24 hours after creation. You can try to re-run the pipeline to get logs. Please re-open this issue if you have any more questions.",
"This was failing on microk8s install of kubeflow pipelines.\r\nOnce I switched to https://k3ai.github.io/docs/tutorials/kubeflow/ everything is g... | 2022-04-26T18:03:04 | 2023-01-27T10:39:18 | 2022-05-05T22:44:07 | NONE | null | Sometimes I click on old pipelines to check their logs and get the error "Failed to retrieve logs":
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https://api.github.com/repos/kubeflow/pipelines/issues/7616 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7616/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7616/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7616/events | https://github.com/kubeflow/pipelines/issues/7616 | 1,215,586,951 | I_kwDOB-71UM5IdGKH | 7,616 | Using API to manage pipeline in Multi-User mode | {
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"@grapefruitL What do you mean by \"manage\"? What is your use case?",
"@jlyaoyuli thank you for your reply.\r\nDeploying, using and maintaining kubeflow requires some k8s knowledge that our data scientists don't have\r\nNow I only have the way\r\nOur data scientists are only responsible for writing the yaml of t... | 2022-04-26T08:21:52 | 2022-04-29T00:58:38 | 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?
use [api ](https://www.kubeflow.org/docs/components/pipeline... | {
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"/assign @chensun ",
"`{{workflow.status}}` and such are Argo variables (https://argoproj.github.io/argo-workflows/variables/#global), and Vertex Pipelines is not based on Argo, so it's by design that they won't work. \r\nOn Vertex Pipelines, we provide a set of platform-agnostic placeholders. Here're some exampl... | 2022-04-26T05:22:56 | 2022-11-08T14:12:18 | 2022-05-12T20:55:57 | NONE | null | ### Environment
* KFP version:
`1.8.12`
* All dependencies version:
`google-cloud-aiplatform==1.7.1`
### Steps to reproduce
I define a very simple pipeline with a single, image based, component, and compile it using the v2 compiler. After compiling it, I submit the pipeline job to Google Vertex AI. The in... | {
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"Same on this page:\r\nhttps://www.kubeflow.org/docs/components/pipelines/sdk-v2/build-pipeline/\r\n\r\n1. Artifact and Dataset point to broken url: https://github.com/kubeflow/pipelines/blob/master/sdk/python/kfp/dsl/io_types.py\r\n\r\n<img width=\"696\" alt=\"Screen Shot 2022-04-26 at 1 06 05 AM\" src=\"https://u... | 2022-04-26T04:56:38 | 2022-05-05T22:40:28 | 2022-05-05T22:40:28 | NONE | null | On this page:
https://www.kubeflow.org/docs/components/pipelines/reference/component-spec/
This link to types is broken: https://github.com/kubeflow/pipelines/blob/master/sdk/python/kfp/dsl/types.py
<img width="754" alt="Screen Shot 2022-04-26 at 12 55 55 AM" src="https://user-images.githubusercontent.com/140710... | {
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"/assign @jlyaoyuli "
] | 2022-04-26T01:09:42 | 2022-05-11T19:51:19 | 2022-05-11T19:51:19 | COLLABORATOR | null | ## Description
We are planning to enable KFPv2 UI feature when we release KFP 2.0.0-alpha.2. Therefore, we need to switch over to a new feature key which is enabled by default. And change all `FeatureKey.V2` usages to `FeatureKey.V2_ALPHA`.
## Tentative steps
1. Create a new feature key with name like `Featur... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7608 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7608/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7608/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7608/events | https://github.com/kubeflow/pipelines/issues/7608 | 1,215,138,054 | I_kwDOB-71UM5IbYkG | 7,608 | [backend] JSONDecoder error? | {
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"Here's the logs:\r\n```\r\ntime=\"2022-04-26T17:38:09.547Z\" level=info msg=\"capturing logs\" argo=true\r\nWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: \r\nhttps://pip.pyp... | 2022-04-25T23:08:38 | 2022-04-26T20:39:02 | 2022-04-26T20:39:01 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Standard deployment to AWS
* KFP version:
1.8.1
* KFP SDK version:
1.8.12
### Steps to reproduce
Very simple pipeline:
```
import kfp.v2.components
from kfp.v2.dsl import InputPath
from kubernetes.client.models import V1EnvVar
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"/area backend",
"@S-Mann Thanks for your suggestion, it's a valid feature request. Feel free to contribute if you are interested!"
] | 2022-04-25T14:34:10 | 2022-04-28T22:58:21 | null | NONE | null | ### Feature Area
/area backend
### What feature would you like to see?
Currently filter objects can have one or more query objects but they work with `AND` it would be great to somehow switch to `OR` as well.
For example if you want to query [runs list API](https://www.kubeflow.org/docs/components/pipelines/... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7601 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7601/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7601/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7601/events | https://github.com/kubeflow/pipelines/issues/7601 | 1,213,557,729 | I_kwDOB-71UM5IVWvh | 7,601 | [feature] Add the annotation `cluster-autoscaler.kubernetes.io/safe-to-evict: false` to the pod | {
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"/assign @chensun "
] | 2022-04-24T06:09:37 | 2022-04-28T22:48:46 | null | CONTRIBUTOR | null | ### Feature Area
/area sdk
### What feature would you like to see?
Hi, it would be nice if we can add the annotation `cluster-autoscaler.kubernetes.io/safe-to-evict: false` to the pipeline/workflow pod __by default__
### What is the use case or pain point?
Without this annotation, the pod will be evicted... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7600 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7600/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7600/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7600/events | https://github.com/kubeflow/pipelines/issues/7600 | 1,213,460,747 | I_kwDOB-71UM5IU_EL | 7,600 | Support creating new run from pipeline, pipeline version, and existing run. | {
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"dd"
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https://api.github.com/repos/kubeflow/pipelines/issues/7599 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7599/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7599/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7599/events | https://github.com/kubeflow/pipelines/issues/7599 | 1,213,460,732 | I_kwDOB-71UM5IU_D8 | 7,599 | Support providing protobuf.Value as parameters when creating new run. | {
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"Fixed by @jlyaoyuli "
] | 2022-04-23T21:42:27 | 2023-01-18T08:42:56 | 2023-01-18T08:42:55 | COLLABORATOR | null | null | {
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"I believe this is fixed. Let me know otherwise @jlyaoyuli "
] | 2022-04-23T21:42:23 | 2023-01-18T08:42:09 | 2023-01-18T08:41:23 | COLLABORATOR | null | When creating new Run, user can specify a pipeline root location for artifact payload. PipelineRood definition is in https://www.kubeflow.org/docs/components/pipelines/overview/pipeline-root/.
Feature:
1. Show a `Checkbox` which asks user whether to set custom pipeline root.
2. If `Checkbox` is not checked, show n... | {
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"/assign @IronPan ",
"Hi there - were you able to resolve this issue? Any tips? I'm seeing the same thing on my end. ",
"Hi there, I met the same problem too. any ideas, please?",
"I'm running into a similar problem, as well. Any solutions? ",
"same problem",
"same here, please keep in the loop",
"I hav... | 2022-04-21T15:38:03 | 2023-03-07T09:16:35 | null | NONE | null | ## Environment:
KFP version 1.8.9
## Steps to Reproduce
Here's a snippet of my training code:
```
param_grid = {
"max_tokens" : [100],
"max_len" : [10],
"dropout" : [0.1],
}
gs_model = GridSearchCV(KerasClassifier(build_model), param_grid, cv=3, scoring='accuracy')
gs_model.fi... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7587 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7587/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7587/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7587/events | https://github.com/kubeflow/pipelines/issues/7587 | 1,210,023,735 | I_kwDOB-71UM5IH383 | 7,587 | [frontend] "clone recurring run" then changing the pipeline version resets run parameters to defaults | {
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"I don't think \"clone recurring run\" passes the parameters. If you think this is a useful feature, feel free to open a feature request and describe your use case."
] | 2022-04-20T18:00:15 | 2022-04-21T22:58:33 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)? terraform
* KFP version: 1.4.0
### Steps to reproduce
Make sure you have a pipeline with more than 1 version.
Create a recurring run. Change some of the variables to non-default values. Start the run.
Then, clone the just-created recurrin... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7573 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7573/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7573/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7573/events | https://github.com/kubeflow/pipelines/issues/7573 | 1,206,046,072 | I_kwDOB-71UM5H4s14 | 7,573 | [backend] Can't run a data-passed pipeline many times with the same pipeline function name. Error: This step is in Error state with this message: Error (exit code 1): key unsupported: cannot get key for artifact location, because it is invalid | {
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"Maybe it's because the `@pipeline` decorator is missing?"
] | 2022-04-16T07:44:55 | 2022-04-21T22:55:16 | null | NONE | null | ### Environment
* Kubeflow Pipelines Standalone on a local cluster.
* KFP version: 1.7.0
* KFP SDK version: 1.8.2
### Steps to reproduce
Dear developers, I try to run the same pipeline many times with different arguments, which are `line` and `count` in the following official `data_pass` example.
In the... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7571 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7571/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7571/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7571/events | https://github.com/kubeflow/pipelines/issues/7571 | 1,205,894,338 | I_kwDOB-71UM5H4HzC | 7,571 | Take a yaml format for pipelineSpec to submit them from UI to backend | {
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"/assign @jlyaoyuli ",
"Except for `xgboost_sample_pipeline.yaml` pipeline, all of the testing pipelines were able to be uploaded via URL and local file. DAG visualization, side panel, and `Pipeline Spec` etc. are displayed as we expect."
] | 2022-04-15T21:16:13 | 2022-05-11T19:55:34 | 2022-05-11T19:55:34 | COLLABORATOR | null | # Problem
Support functionality to submit a pipeline template to backend, either from URL or a local file.
# Materials
A list of sample pipelines are stored in https://github.com/kubeflow/pipelines/tree/master/sdk/python/kfp/compiler_cli_tests/test_data.
# User journey
1. Create a new Pipeline, select... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7568 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7568/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7568/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7568/events | https://github.com/kubeflow/pipelines/issues/7568 | 1,205,218,189 | I_kwDOB-71UM5H1iuN | 7,568 | [backend] Cannot create new pipeline or upload new version to existing pipelines | {
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"The issue is solved with a workaround. \r\n\r\nFirst `kubectl exec mysql-pod -it -- mysql -h mysql`\r\n\r\nThen change the column of Description in Table pipeline_versions to accept NULL values\r\n\r\n`ALTER table pipeline_versions MODIFY Description longtext NULL;`\r\n\r\nProblem solved. Still don't know why issu... | 2022-04-15T03:33:25 | 2022-04-21T22:51:05 | 2022-04-21T22:51:05 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)? Full deployment
* KFP version: 1.6
* KFP SDK version: 1.6.0
### Steps to reproduce
Previously, everything looks fine. But all of a sudden, couldn't upload pipelines or create pipelines either from UI or from cli. The error messages are like fo... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7561 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7561/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7561/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7561/events | https://github.com/kubeflow/pipelines/issues/7561 | 1,204,376,712 | I_kwDOB-71UM5HyVSI | 7,561 | [backend] V2 pipelins can't save numpy files using Output[Dataset] notation | {
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"I am experiencing the same problem, in version kfp sdk version 1.4.0 it worked fine. I am using KFP standalone version 1.8.0.\r\n\r\nMy component code is this:\r\n\r\n```Python\r\n@dsl.component\r\ndef make_date_parser(datetime: str, input_format: str, output_format: str, days_to_add: int,\r\n ... | 2022-04-14T10:52:05 | 2022-04-21T22:44:38 | null | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Bundled with KF 1.5
* KFP version:
1.8.1
* KFP SDK version:
1.8.12
### Steps to reproduce
Create a simple component that saves a file in numpy format using the v2 artifact notation `Output[Dataset]`:
```
@component()
def numpy_test... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7541 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7541/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7541/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7541/events | https://github.com/kubeflow/pipelines/issues/7541 | 1,199,557,035 | I_kwDOB-71UM5Hf8mr | 7,541 | [feature] Set artifact name when using kfp dsl.importer | {
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"/assign @chensun \r\n\r\nThis will touch at least the SDK and perhaps the backend as well. More info is needed.",
"@connor-mccarthy Any updates on this?\r\n\r\nMight this be the reason that Artifacts are duplicated when imported as mentioned in #7861?\r\n\r\nIs there a work-around?",
"+1 on this!\r\n\r\nNot on... | 2022-04-11T08:10:04 | 2023-08-15T10:51:21 | null | NONE | null | ### Feature Area
/area components
### What feature would you like to see?
I opened a [question on Stack Overflow](https://stackoverflow.com/questions/71763407/set-artifact-name-when-using-kfp-dsl-importer) about this, but since no-one answered on there, I figured that this is probably something that is not p... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7540 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7540/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7540/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7540/events | https://github.com/kubeflow/pipelines/issues/7540 | 1,198,991,493 | I_kwDOB-71UM5HdyiF | 7,540 | [feature] Exposing experiment name as a macro. | {
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"/cc @chensun WDYT?",
"/assign @chensun ",
"`{{workflow.annotations.*}}` and `{{workflow.name}}` aren't really part of KFP but Argo placeholders (https://argoproj.github.io/argo-workflows/variables/#global). And KFP experiments is not an Argo concept, so I don't think this is that easy to support. "
] | 2022-04-10T11:20:20 | 2022-05-12T21:59:55 | null | NONE | null | ### Feature Area
/area frontend
/area backend
### What feature would you like to see?
When in pipeline code I can use macros like {{workflow.annotations.pipelines.kubeflow.org/run_name}} or {{workflow.name}} to get those values, and potentially use them in some context, eg. passing to some component.
W... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7529 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7529/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7529/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7529/events | https://github.com/kubeflow/pipelines/issues/7529 | 1,196,161,249 | I_kwDOB-71UM5HS_jh | 7,529 | support for List[str|int|float] and Dict[str,str|int|float] in py-func components | {
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"@iuiu34 Are you looking for `Dict[str, str]` and/or `Dict[str, int]`? Or `Dict[str, Union[int, str]]`?\r\n\r\nThe former is currently supported in V2, while the latter is not supported in all cases.",
"i'm looking for `Dict[str,Union[str,int,float]]` and `List[Union[str,int,float]]`.\r\n\r\nabout `Dict[str, str]... | 2022-04-07T14:48:26 | 2022-04-20T08:21:57 | null | NONE | null | if i want to pass a dict as an arg to a py-func component i have todo something like
```py
@component(base_image=base_image)
def test(a: str) -> str:
print(type(a)) # str
a = eval(a)
print(type(a)) # dict
return 'test'
@pipeline(
name='kfp-test-pipeline',
description='Pipeline test... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7528 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7528/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7528/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7528/events | https://github.com/kubeflow/pipelines/issues/7528 | 1,195,310,036 | I_kwDOB-71UM5HPvvU | 7,528 | Adapt API integration test to run in full Kubeflow | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7525 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7525/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7525/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7525/events | https://github.com/kubeflow/pipelines/issues/7525 | 1,194,145,521 | I_kwDOB-71UM5HLTbx | 7,525 | [backend] health service response should be consumed by application/json not text/plain | {
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"@hsinhoyeh Thank you and we are happy to review the patch PR from you. cc @chensun ",
"Hi, @zijianjoy I have sent my PR here https://github.com/kubeflow/pipelines/pull/7532 thanks. also cc @chensun "
] | 2022-04-06T07:07:29 | 2022-05-20T03:44:29 | 2022-05-20T03:44:29 | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)? install via kubeflow manifest with version v1.4
* KFP version: v1.7.0
* KFP SDK version: v1.7.0 (golang version under backend/api/go_http_client)
### Steps to reproduce
1. start pipeline backend api server by listening port 8888
2. sent http ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7523 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7523/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7523/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7523/events | https://github.com/kubeflow/pipelines/issues/7523 | 1,193,457,182 | I_kwDOB-71UM5HIrYe | 7,523 | [bug] cannot use component outputs in importer_node.importer metadata | {
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"/assign @chensun ",
"I was stuck on this error for hours. What worked for me is wrapping metadata arguments inside `str( )` like:\r\n```\r\n\"ports\": str(SERVING_CONTAINER_PORT),\r\n\"predict_route\": str(SERVING_PREDICT_ROUTE),\r\n\"health_route\": str(SERVING_HEALTH_ROUTE),\r\n```\r\n\r\nDon't know why though... | 2022-04-05T16:49:03 | 2022-09-12T22:13:56 | null | NONE | null | ### What steps did you take
I have a custom model building pipeline in Vertex AI. After my model trains, i'd like to create a Vertex AI model using ModelUploadOp.
I've noticed that the ModelUploadOp now requires you to create an UnmanagedContainerModel first, and this is where i've encountered my bug.
For a ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7512 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7512/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7512/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7512/events | https://github.com/kubeflow/pipelines/issues/7512 | 1,190,479,871 | I_kwDOB-71UM5G9Uf_ | 7,512 | kubeflow pipeline add support of postgresql | {
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"Hello @yiyuanyu17 , can you help us understand what is the reason of not being able to use mysql? And do you want to use postgresql within cluster or outside the cluster? Or are you looking for a way to configure postgresql as an alternative of cloudsql?",
"\r\n\r\n\r\n\r\n> Hello @yiyuanyu17 , can you help us u... | 2022-04-02T03:22:54 | 2023-08-28T20:59:11 | 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?
kubeflow pipeline add support of postgresql
### What is t... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7504 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7504/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7504/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7504/events | https://github.com/kubeflow/pipelines/issues/7504 | 1,189,698,641 | I_kwDOB-71UM5G6VxR | 7,504 | [feature] Integrate withSequence loop with Kubeflow SDK | {
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"Hello @Sharathmk99 , currently this feature is not on our roadmap. Keeping this feature request open to collect more upvotes. We need a proper design if we want to support this feature.",
"@Sharathmk99, this may work as a workaround if the iterable is known at compile-time:\r\n\r\n```python\r\nfrom kfp import co... | 2022-04-01T12:04:32 | 2022-04-08T15:55:12 | null | NONE | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
<!-- /area backend -->
/area sdk
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
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"+1 \r\ni have specify the base image : zhuyaguang/pipeline:v4,but it always pull busybox\r\n\r\n<img width=\"502\" alt=\"image\" src=\"https://user-images.githubusercontent.com/8857976/162148571-8ae96a66-d8fd-4bbb-af21-71aefdfcc547.png\">\r\n\r\nWhat's even weirder is that it's random \r\n\r\n```\r\ndef pass_fil... | 2022-04-01T06:03:51 | 2022-05-10T06:03:07 | 2022-04-14T22:53:35 | NONE | null | I'm now using kubeflow pipeline in a local environment which has no network I have wrote a pipeline with only one components, I have build the image for it but the pipeline always fail, because it fails to pull the busybox image from internet(gcr.io/google-containers/busybox) .
I have two questions:
1. why does kub... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7494 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7494/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7494/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7494/events | https://github.com/kubeflow/pipelines/issues/7494 | 1,188,255,210 | I_kwDOB-71UM5G01Xq | 7,494 | [feature] allow upload_pipeline_version to create a pipeline with initial version | {
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"We also just ran into this problem: Every pipeline we create ends up with a \"pipeline_name\" version tag.",
"Found a hack to get around this until it is fixed properly\r\n\r\n```python\r\n kfp.compiler.Compiler().compile(pipeline_func, pipeline_path)\r\n\r\n pipeline = client.upload_pipeline(pipel... | 2022-03-31T15:21:16 | 2022-09-09T12:51:00 | null | NONE | null | ### Feature Area
/area backend
/area sdk
### What feature would you like to see?
My understanding is that at the moment, pipelines must be created using the method `upload_pipeline`.
If you create a new pipeline with `upload_pipeline_version` and tag it, for example, as v1.0.0:
```
client.upload_pipe... | {
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<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
<!-- /area backend -->
/area sdk
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
Add a `level` or `log_level` param to the `Client` class that defaults ... | {
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"I don't know if this works for TFX (I'm totally new with Kubeflow), but I think you need to either write code in your python file such that it creates a YAML file itself, or you run a compile command.\r\n\r\nThe code alternative looks like this for me:\r\n```python\r\n# Some of these imports can probably be omitte... | 2022-03-30T12:09:17 | 2022-04-14T10:23:15 | null | NONE | null | Hello,
I created a TFX pipeline that I would like to orchestrate with Kubeflow Pipeline UI to do a **local deployment** using `kind`.
I installed and launched the Kubeflow Pipeline UI, but I do not know how to upload my TFX pipeline (.py).
From what I understand I need to find a way to "convert" my TFX pipeline ... | {
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"I read somewhere that it is a pod that creates your pods, but for all I know it could be Custom Resource Definition stuff. But Kubeflow Pipelines runs on Argo Workflows as the workflow engine, so you might want to Google in that direction.\r\nOtherwise I recommend you hop onto the [Kubeflow slack](https://www.kube... | 2022-03-30T09:59:07 | 2022-04-07T22:40:05 | 2022-04-07T22:40:04 | NONE | null | when we run the pipeline, in the namespace "kubeflow-user-example-com" will create pods to exec the pipeline.
my question is ,who create it ? There is no deploy corresponding to it.
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https://api.github.com/repos/kubeflow/pipelines/issues/7481 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7481/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7481/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7481/events | https://github.com/kubeflow/pipelines/issues/7481 | 1,185,150,192 | I_kwDOB-71UM5Go_Tw | 7,481 | [frontend] artifacts not compiled in case of an afterwards error | {
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"Hi @iuiu34, could you share more on your compiler mode and version for this code snippet and possibly share more code? Thanks. ",
"I run it in google-cloud vertex. Using google-cloud-aiplatform. But seems to me more a kfp general problem. Or is not the case?\r\n\r\nkfp==1.8.11\r\ngoogle-cloud-aiplatform==1.10.0\... | 2022-03-29T16:53:19 | 2022-04-01T19:16:28 | null | NONE | null | given the following component
```py
from kfp.v2.dsl import component, Output, Artifact
@component
def test(
artifact_url: Output[Artifact]
):
artifact_url.uri = 'gs://test/bucket/uri'
raise ValueError
```
artifact_url will not be compiled. Event though, the uri declaration is before the code error... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7480 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7480/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7480/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7480/events | https://github.com/kubeflow/pipelines/issues/7480 | 1,184,741,358 | I_kwDOB-71UM5Gnbfu | 7,480 | Failed to start pipeline | {
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"Not an issue of KFP"
] | 2022-03-29T11:48:21 | 2022-03-29T12:11:20 | 2022-03-29T12:11:19 | NONE | null | ### Environment
Standalone KFP
Bootstrapper fails when there is python package installed with -e
```
[D 06:36:56.914] Parsing Arguments.....
[I 06:36:56.916] 'model-0329063649':'pre' - starting operation
[I 06:36:56.916] 'model-0329063649':'pre' - Installing packages
Traceback (most recent call last):
... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7478 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7478/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7478/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7478/events | https://github.com/kubeflow/pipelines/issues/7478 | 1,184,156,442 | I_kwDOB-71UM5GlMsa | 7,478 | ModuleNotFoundError: No module named 'kfp.deprecated' | {
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"+1",
"i fix it by replace \"kfp.deprecated\" to \"kfp\".\r\n\r\ni think it caused by this PR \r\nhttps://github.com/kubeflow/pipelines/pull/7291",
"This is intended since our samples are now based off KFP v2 (main branch). `sdk/release-1.8` contains the v1 specific samples and naming. Please reopen if you hav... | 2022-03-29T00:51:24 | 2022-07-21T12:53:35 | 2022-03-31T22:56:49 | NONE | null | Pipelines Version: [1.8.1]
```
$ pip list | grep kfp
kfp 1.8.11
kfp-pipeline-spec 0.1.14
kfp-server-api 1.8.1
```
Following this tutorial:
https://www.kubeflow.org/docs/components/pipelines/tutorials/build-pipeline/#choose-and-compile-a-pipeline
After running this:
d... | {
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"Hi @micahjsmith, we do check for namings due to Kubernetes requirements (https://kubernetes.io/docs/concepts/overview/working-with-objects/names/) and https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/. Let me know if this explains your questions. ",
"Hi @ji-yaqi, thank... | 2022-03-28T18:52:09 | 2022-04-05T14:20:18 | 2022-04-04T21:27:18 | NONE | null | ### Environment
* KFP SDK version: 1.8.11
### Steps to reproduce
A component with an uppercase letter in a parameter name cannot be called using keyword arguments
```
import kfp
@kfp.components.create_component_from_func
def comp(P: list) -> None:
print(f'P: {repr(P)}')
@kfp.dsl.pipeline()
def ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7476 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7476/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7476/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7476/events | https://github.com/kubeflow/pipelines/issues/7476 | 1,183,315,033 | I_kwDOB-71UM5Gh_RZ | 7,476 | [feature] Compare tensorboards output from selected runs | {
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"@zijianjoy for viz",
"The issue can be reproduced using a locally deployed KFP infra (with minikube), following documentation under `manifests/kustomize`. \r\nhttps://github.com/kubeflow/pipelines/tree/master/manifests/kustomize#envplatform-agnostic-install-on-any-kubernetes-cluster\r\n\r\nWe compiled the follow... | 2022-03-28T11:45:02 | 2022-08-30T05:32:44 | null | NONE | null | ### Feature Area
/area frontend
### What feature would you like to see?
In kubeflow v1.3 was such feature. On bare metal kubeflow deployment (with local volume mounting for tensorboard, more here [#4208](https://github.com/kubeflow/pipelines/issues/4208)) I had a possibility selected several runs, click compare an... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7475 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7475/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7475/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7475/events | https://github.com/kubeflow/pipelines/issues/7475 | 1,182,818,396 | I_kwDOB-71UM5GgGBc | 7,475 | [backend] Pipeline fails when adding Outputs | {
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"The error was that I was passing an int instead of a string to f.write() ..."
] | 2022-03-28T03:16:17 | 2022-03-28T17:43:44 | 2022-03-28T17:43:44 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Deployed latest Kubeflow version following the current master instructions on the [manifest](https://github.com/kubeflow/manifests) page.
* KFP version:
<!-- Specify the version of Kubeflow Pipelines that you are using. The version number appears... | {
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"Hi @votti, feel free to send a PR and we will take a look. If it involves an interface change, we would need a design. Thank you!",
"@ji-yaqi Have you all had time to review this related PR? https://github.com/kubeflow/pipelines/pull/7526",
"Hi @votti.\r\n\r\nWe have implemented a workaround for OOB in #8262. ... | 2022-03-27T21:58:58 | 2022-09-19T17:54:29 | 2022-09-15T23:27:26 | NONE | null | ### Environment
* KFP version:
?
* KFP SDK version:
1.8.11
* All dependencies version:
kfp 1.8.11
kfp-pipeline-spec 0.1.14
kfp-server-api 1.8.1
### Steps to reproduce
I followed the steps described in the documentation to connect to Kubeflow Pipelines in a ful... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7466 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7466/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7466/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7466/events | https://github.com/kubeflow/pipelines/issues/7466 | 1,180,203,956 | I_kwDOB-71UM5GWHu0 | 7,466 | [bug] connect to kfp method KF_PIPELINES_SA_TOKEN_PATH not working | {
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"[Temporary workaround](https://github.com/kubeflow/kubeflow/issues/6411#issuecomment-1080029132)",
"just use following code, you will get pipeline info, no more additional params\r\n```\r\nimport kfp\r\nclient = kfp.Client()\r\nprint(client.list_experiments())\r\n```"
] | 2022-03-25T00:46:50 | 2022-04-26T10:02:56 | null | NONE | null | ### What steps did you take
I deployed a kubeflow in multi-user mode.
and now I try to connect to KFP with https://www.kubeflow.org/docs/components/pipelines/sdk/connect-api/
I use the PodDefault method, and use the variable of KF_PIPELINES_SA_TOKEN_PATH.
### What happened:
But try failed.
and I clone the ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7461 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7461/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7461/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7461/events | https://github.com/kubeflow/pipelines/issues/7461 | 1,179,838,145 | I_kwDOB-71UM5GUubB | 7,461 | [feature] Programmatically retrieve logs via the SDK | {
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"Hey all, any updates on this? "
] | 2022-03-24T17:48:47 | 2022-08-11T18:35:49 | 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?
It would be great if there was a way to programmatically retrieve conta... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7460 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7460/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7460/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7460/events | https://github.com/kubeflow/pipelines/issues/7460 | 1,179,586,201 | I_kwDOB-71UM5GTw6Z | 7,460 | [bug] documentation jupyter notebook file missing for google-cloud-component | {
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https://google-cloud-pipeline-components.readthedocs.io/en/google-cloud-pipeline-components-1.0.0/google_cloud_pipeline_components.v1.hyperparameter_tuning_job.... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7457 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7457/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7457/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7457/events | https://github.com/kubeflow/pipelines/issues/7457 | 1,178,568,093 | I_kwDOB-71UM5GP4Wd | 7,457 | [components] google_cloud_pipeline_components JsonArray PipelineParam not resolved/serializable in component | {
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"After further investigation, it seems kfp.v2 does not support PipelineParam json serialization (as implemented here for v1 https://github.com/kubeflow/pipelines/pull/2212). Any plans on supporting this in v2?",
"scratch that, I have no idea what is wrong here\r\n\r\nhere is why I was thinking so:\r\nusing compil... | 2022-03-23T19:25:33 | 2022-03-24T22:34:19 | null | NONE | null | ### Environment
* KFP version:
Vertex AI on GCP
* KFP SDK version:
kfp = "^1.8.11"
* All dependencies version:
google-cloud-pipeline-components = "^1.0.1"
### Steps to reproduce
```
from kfp.v2.dsl import component
from google_cloud_pipeline_components.experimental.dataflow import DataflowPythonJobO... | {
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