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https://api.github.com/repos/kubeflow/pipelines/issues/5427 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5427/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5427/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5427/events | https://github.com/kubeflow/pipelines/issues/5427 | 850,290,167 | MDU6SXNzdWU4NTAyOTAxNjc= | 5,427 | [feature] Support other gcp project's gcr images to be pulled by service account with workload identity | {
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"A GKE nodepool has a VM service account. This is used to pull images. You need to grant storage permission to this SA. ",
"Thank you for quick response!\r\n\r\nSo, workload identity cannot affect service account to pull images? I also bound the google service account that has enough permissions to some Kubeflow... | 2021-04-05T11:04:11 | 2021-04-09T00:55:54 | 2021-04-09T00:55:54 | CONTRIBUTOR | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
/area backend
<!-- /area sdk -->
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
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"Hi @shrinath-suresh, can you explain the difference between --db and --logdir, are there any references?\n\nKFP doesn't currently support changing the argument, but we can make it configurable.\n\nWhat kind of configuration experience do you prefer? Do all s3 uris need to change the argument?\n\n\nOr we can add an... | 2021-04-04T10:26:33 | 2021-04-16T10:10:01 | 2021-04-16T06:59:38 | CONTRIBUTOR | null | ### What steps did you take
To view the output in tensorboard we have created the `mlpipeline-ui-metadata.json` file with following content (Followed the instructions from - https://www.kubeflow.org/docs/components/pipelines/sdk/output-viewer/#tensorboard )
```
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https://api.github.com/repos/kubeflow/pipelines/issues/5425 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5425/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5425/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5425/events | https://github.com/kubeflow/pipelines/issues/5425 | 849,673,166 | MDU6SXNzdWU4NDk2NzMxNjY= | 5,425 | [Testing] tests flaky when pulling from dockerhub | {
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"From PR https://github.com/kubeflow/pipelines/pull/5424",
"Do you know what this error comes from? These images should be on google container registry as I understand, are there any rate limiting? ",
"Let me elaborate, the above error occurs when we are building KFP docker images, we need to pull some common i... | 2021-04-03T14:52:23 | 2022-04-18T17:27:41 | 2022-04-18T17:27:41 | CONTRIBUTOR | null | See https://oss-prow.knative.dev/view/gs/oss-prow/pr-logs/pull/kubeflow_pipelines/5424/kubeflow-pipeline-e2e-test/1378351440040300544#1:build-log.txt%3A1308
> Step #1 - "scheduledworkflow": Get https://registry-1.docker.io/v2/: net/http: request canceled (Client.Timeout exceeded while awaiting headers)
The same e... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5423 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5423/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5423/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5423/events | https://github.com/kubeflow/pipelines/issues/5423 | 849,656,849 | MDU6SXNzdWU4NDk2NTY4NDk= | 5,423 | [bug] api server panics on workflow parameter without value | {
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"/assign",
"The failing line was recently changed when upgrading argo in https://github.com/kubeflow/pipelines/pull/5041, it seems we need to check nil pointer there.\r\nhttps://github.com/kubeflow/pipelines/blob/14b447a07c975a21b7b525d49f6676058f020cd8/backend/src/common/util/workflow.go#L54\r\n/cc @NikeNano ",
... | 2021-04-03T13:20:03 | 2021-04-04T01:27:22 | 2021-04-04T01:27:22 | CONTRIBUTOR | null | ### What steps did you take
<!-- A clear and concise description of what the bug is.-->
1. create a run with a parameter with no values
### What happened:
KFP api server panics with the following stacktrace:
```
I0403 13:01:11.747485 7 interceptor.go:29] /api.RunService/CreateRun handler starting
p... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5422 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5422/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5422/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5422/events | https://github.com/kubeflow/pipelines/issues/5422 | 849,550,576 | MDU6SXNzdWU4NDk1NTA1NzY= | 5,422 | [sdk] Task.after() on Condition OpsGroup vs ContainerOp | {
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"/kind question",
"cc @Udiknedormin ",
"@Tomcli Per my understanding:\r\n\r\n* running an op after condition group should run whenever the predicate was passed or not, as I want run it after the whole DAG\r\n* running an op after some op in the group should only run if the predicate was passed, as I only want t... | 2021-04-03T01:24:39 | 2022-04-18T17:27:33 | 2022-04-18T17:27:33 | MEMBER | null | We have few questions on how the condition is constructed in Argo. e.g. using the below condition example
https://github.com/kubeflow/pipelines/blob/master/samples/core/condition/condition.py
When we try to define a containerOp that run after dsl.condition or containerOp inside the condition block, it creates the ... | {
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"/assign @yanniszark "
] | 2021-04-01T20:43:04 | 2021-04-02T09:43:20 | 2021-04-02T09:43:20 | CONTRIBUTOR | null | ### What steps did you take
Deploy KFP multi-user.
### What happened:
The Istio AuthorizationPolicy resources are invalid.
After fixing them, some policies were missing:
- Allow `metadata-grpc-server` traffic in MetadataDB MySQL.
- Allow all traffic to the Metadata GRPC Server.
I will PR the amended Au... | {
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"Thank you!\nIt's a gateway to allow using grpcweb from KFP UI.",
"Do we also need to apply the same change to `metadata-grpc-deployment` as well?\r\n\r\nMy deployment looks like:\r\n\r\n"
] | 2021-04-01T19:12:17 | 2021-04-02T09:43:20 | 2021-04-02T09:43:20 | CONTRIBUTOR | null | ### What steps did you take
Deploy multi-user pipelines manifests. The `metadata-envoy-deployment` is injected with a sidecar and crashes.
The reason is that `metadata-envoy-deployment` runs an Envoy Pod and it seems 2 Envoys don't play well together.
Thus, we need to disable injection for this Deployment.
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"I will be opening a PR with the aforementioned fix asap\r\n/assign @yanniszark "
] | 2021-04-01T19:07:31 | 2021-04-02T08:56:20 | 2021-04-02T08:56:20 | CONTRIBUTOR | null | The metadata writer was failing with a strange error:
```
Start watching Kubernetes Pods created by Argo
Traceback (most recent call last):
File "/kfp/metadata_writer/metadata_writer.py", line 145, in <module>
_request_timeout=2000, # Sometimes HTTP GET gets stuck
File "/usr/local/lib/python3.7/site-pack... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5411 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5411/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5411/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5411/events | https://github.com/kubeflow/pipelines/issues/5411 | 848,383,743 | MDU6SXNzdWU4NDgzODM3NDM= | 5,411 | [backend] controller-manager crashes in 1.5.0-rc.1 | {
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"@DavidSpek @Bobgy it seems like someone wrote a new image that does not runasnonroot\r\nhttps://github.com/kubeflow/manifests/pull/1756\r\n\r\nCan you update to a newer version of gcr.io/ml-pipeline/application-crd-controller:1.0-beta-non-cluster-role ? It seems to be from here https://github.com/kubernetes-sigs/a... | 2021-04-01T11:33:00 | 2021-10-15T13:30:19 | 2021-10-15T13:30:19 | MEMBER | null | ### Environment
```
export PIPELINE_VERSION=1.5.0-rc.1
kubectl apply -k "github.com/kubeflow/pipelines/manifests/kustomize/cluster-scoped-resources?ref=$PIPELINE_VERSION"
kubectl wait --for condition=established --timeout=60s crd/applications.app.k8s.io
kubectl apply -k "github.com/kubeflow/pipelines/manifests/k... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5404 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5404/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5404/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5404/events | https://github.com/kubeflow/pipelines/issues/5404 | 847,503,479 | MDU6SXNzdWU4NDc1MDM0Nzk= | 5,404 | [feature] Condition combinators for dsl.Condition | {
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"/area backend",
"related issue: https://github.com/kubeflow/pipelines/issues/482",
"/assign @neuromage @chensun ",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"This issue ha... | 2021-03-31T23:08:11 | 2023-09-13T15:03:35 | 2022-04-18T17:27:39 | CONTRIBUTOR | null | ### Feature Area
/area backend
### What feature would you like to see?
Right now, `dsl.Condition` only allows to use a single comparison:
```python
with dsl.Condition(param1 == value1):
...
```
Because `ConditionOperator` doesn't define any custom `__bool__` which would produce a warning, the follow... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5402 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5402/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5402/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5402/events | https://github.com/kubeflow/pipelines/issues/5402 | 847,113,869 | MDU6SXNzdWU4NDcxMTM4Njk= | 5,402 | [bug] Argo kustomization does not replace namespace in ClusterRoleBinding ServiceAccount reference | {
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"/assign @yanniszark "
] | 2021-03-31T18:37:18 | 2021-04-01T16:16:53 | 2021-04-01T01:43:19 | CONTRIBUTOR | null | ### What steps did you take
```sh
kustomize build pipelines/manifests/kustomize/env/platform-agnostic-multi-user
```
### What happened:
The generated ClusterRoleBinding has the namespace set as `argo`, even though kustomize sets it as `kubeflow`.
Here is the generated YAML:
```yaml
apiVersion: rbac.author... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5401 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5401/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5401/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5401/events | https://github.com/kubeflow/pipelines/issues/5401 | 847,037,112 | MDU6SXNzdWU4NDcwMzcxMTI= | 5,401 | [backend] Metrics Stopped Showing up when More than 5 | {
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"This is one of the issues we plan to solve together in bit.ly/kfp-v2. Putting it in IR-based KFP project",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"still waiting on a bug fi... | 2021-03-31T17:47:02 | 2022-03-02T15:05:19 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)? we used [`kfctl`](https://github.com/kubeflow/manifests/blob/master/distributions/kfdef/kfctl_istio_dex.v1.2.0.yaml)
* KFP version: `v1.2.0`
* KFP SDK version:
```
kfp==1.4.0
kfp-pipeline-spec==0.1.6
kfp-server-api==1.4.1
`... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5400 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5400/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5400/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5400/events | https://github.com/kubeflow/pipelines/issues/5400 | 847,006,652 | MDU6SXNzdWU4NDcwMDY2NTI= | 5,400 | [bug] manifests: Include metacontroller manifests | {
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"/assign @yanniszark ",
"metacontroller is also used in GCP distribution, but since KFP needs it, I agree we can put it here."
] | 2021-03-31T17:26:46 | 2021-04-01T01:43:19 | 2021-04-01T01:43:19 | CONTRIBUTOR | null | ### What steps did you take
The multi-user pipelines installation includes the metacontroller component.
However, it doesn't include it under `third-party`, like for other apps.
Since metacontroller is something that KFP uses, we should move it to the KFP repo under third-party and not have it under `contrib` in k... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5399 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5399/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5399/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5399/events | https://github.com/kubeflow/pipelines/issues/5399 | 846,970,631 | MDU6SXNzdWU4NDY5NzA2MzE= | 5,399 | [bug] manifests: Platform-agnostic multi-user envs should set the kubeflow header | {
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"/assign @yanniszark "
] | 2021-03-31T17:00:55 | 2021-04-01T01:43:19 | 2021-04-01T01:43:19 | CONTRIBUTOR | null | Platform-agnostic multi-user envs should set the kubeflow header to a default value (`kubeflow-userid`), so that they are self-contained and deployable without any extra configuration. | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5398 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5398/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5398/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5398/events | https://github.com/kubeflow/pipelines/issues/5398 | 846,957,837 | MDU6SXNzdWU4NDY5NTc4Mzc= | 5,398 | [bug] manifests: Metadata VirtualService is missing | {
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"/assign @yanniszark "
] | 2021-03-31T16:50:06 | 2021-04-01T01:43:19 | 2021-04-01T01:43:19 | CONTRIBUTOR | null | ### What steps did you take
Install KFP from multi-user manifests.
### What happened:
The KFP Metadata UI is missing erroring out because it is missing a VirtualService. We tested with the following VirtualService:
```yaml
apiVersion: networking.istio.io/v1alpha3
kind: VirtualService
metadata:
name: met... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5394 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5394/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5394/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5394/events | https://github.com/kubeflow/pipelines/issues/5394 | 845,441,219 | MDU6SXNzdWU4NDU0NDEyMTk= | 5,394 | [feature] Use Tensorboard within Kubeflow Pipelines UI with AWS Sagemaker training component | {
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"/assign @kubeflow/aws ",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"/area components/aws/sagemaker",
"This issue has been automatically marked as stale because it has not ha... | 2021-03-30T23:15:08 | 2022-08-08T19:28:23 | null | NONE | null | ### Feature Area
/area components
### What feature would you like to see?
Option to use start/use tensorboard from the Kubeflow Pipelines UI when using AWS Sagemaker training component. At the moment, that doesn't seem to be available in the sagemaker training component.
The `mlpipeline-ui-metadata.json` f... | {
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"This would be nice. We based our KFP repo on [this example](https://github.com/ksalama/kubeflow-examples/tree/master/kfp-cloudbuild), which is referred to in this [GCP article](https://cloud.google.com/solutions/machine-learning/architecture-for-mlops-using-tfx-kubeflow-pipelines-and-cloud-build#cicd_architecture)... | 2021-03-27T02:13:46 | 2022-03-03T03:05:38 | 2022-03-03T03:05:38 | CONTRIBUTOR | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
<!-- /area backend -->
/area sdk
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
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https://api.github.com/repos/kubeflow/pipelines/issues/5380 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5380/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5380/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5380/events | https://github.com/kubeflow/pipelines/issues/5380 | 841,860,584 | MDU6SXNzdWU4NDE4NjA1ODQ= | 5,380 | [feature] get output of conditional step | {
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"We currently do not provide a way to re-join conditional branches.\r\n\r\nThis leads to some code duplication:\r\nhttps://github.com/kubeflow/pipelines/blob/a80421191db917322ff312626409526b0a76aa68/samples/core/continue_training_from_prod/continue_training_from_prod.py\r\n\r\nOne workaround might be to have the tr... | 2021-03-26T11:33:15 | 2022-04-18T17:27:35 | 2022-04-18T17:27:35 | 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?
Currently it does not seem to be possible to get the output of a co... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5373 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5373/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5373/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5373/events | https://github.com/kubeflow/pipelines/issues/5373 | 840,760,396 | MDU6SXNzdWU4NDA3NjAzOTY= | 5,373 | [feature] Documentation for kubeflow component specification operations | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"This issue has been automatically closed because it has not had recent activity. Please comment \"/reopen\" to reopen it.\n"
] | 2021-03-25T09:58:37 | 2022-04-18T17:27:36 | 2022-04-18T17:27:36 | NONE | null | ### Feature Area
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<!-- /area frontend -->
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/area samples
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### What feature would you like to see?
From Issue #2337 I learned about the 'concat' operation which I neede... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5372 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5372/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5372/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5372/events | https://github.com/kubeflow/pipelines/issues/5372 | 840,182,060 | MDU6SXNzdWU4NDAxODIwNjA= | 5,372 | [frontend] Sometimes the "choose file" button doesn't work when trying to upload pipeline | {
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"![Uploading Screen Shot 2021-03-24 at 2.21.49 PM.png…]()\r\n",
"Pending reproduction",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"This issue has been automatically closed be... | 2021-03-24T21:33:49 | 2022-04-18T17:27:37 | 2022-04-18T17:27:37 | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP version: 1.4.0 （In fact, it also happened in 1.0.x and 1.3.x version)
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https://api.github.com/repos/kubeflow/pipelines/issues/5368 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5368/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5368/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5368/events | https://github.com/kubeflow/pipelines/issues/5368 | 839,744,204 | MDU6SXNzdWU4Mzk3NDQyMDQ= | 5,368 | [bug] kpt pkg get results in error message "wrong Node Kind for expected: MappingNode was SequenceNode" | {
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"@Bobgy: The label(s) `area/deployment` cannot be applied, because the repository doesn't have them.\n\n<details>\n\nIn response to [this](https://github.com/kubeflow/pipelines/issues/5368):\n\n>### What steps did you take\r\n>\r\n>```bash\r\n>kpt pkg get https://github.com/kubeflow/pipelines.git/manifests/kustomiz... | 2021-03-24T13:49:39 | 2021-10-25T06:15:07 | 2021-10-25T06:15:07 | CONTRIBUTOR | null | ### What steps did you take
```bash
kpt pkg get https://github.com/kubeflow/pipelines.git/manifests/kustomize@1.5.0-rc.0 .
```
<!-- A clear and concise description of what the bug is.-->
### What happened:
> $ kpt pkg get https://github.com/kubeflow/pipelines.git/manifests/kustomize@1.5.0-rc.0 kfp-standalone-... | {
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"Thank you for the report!\r\nContributions welcomed, the code path related is https://github.com/kubeflow/pipelines/blob/eb558423ecdca969f2dea55e0d1b0197fafbcb13/frontend/server/handlers/artifacts.ts#L200\r\nand development guide: https://github.com/kubeflow/pipelines/tree/master/frontend",
"/cc @zijianjoy ",
... | 2021-03-24T10:34:28 | 2021-07-09T17:59:27 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)? GCP Marketplace
* KFP version: 1.4.1
### Steps to reproduce
1. Upload a relatively large (e.g. ~5G) file to a GCS bucket
2. Create a pipeline run using the code snippet below
3. Open the run in the KFP UI
4. Click on the "Download from GCS"... | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"/lifecycle frozen",
"Some challenges for implementing wrapping ---\r\n\r\nBecause we used react-virtualized to make log viewer work w... | 2021-03-24T10:18:55 | 2021-07-29T00:41:19 | 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 -->
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https://api.github.com/repos/kubeflow/pipelines/issues/5358 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5358/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5358/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5358/events | https://github.com/kubeflow/pipelines/issues/5358 | 838,099,529 | MDU6SXNzdWU4MzgwOTk1Mjk= | 5,358 | [frontend] Upgrade Argo UI template to match original content | {
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Looks like the error is caused by bazel version:
```
ERROR: /root/.cache/bazel/_bazel_root/a58ac343beec6d39a39bba9ecc91209d/external/org_tensorflow/tensorflow/version_check.bzl:... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5353 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5353/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5353/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5353/events | https://github.com/kubeflow/pipelines/issues/5353 | 837,848,818 | MDU6SXNzdWU4Mzc4NDg4MTg= | 5,353 | kfserving pipeline deployment is failing with below error | {
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"Can you provide more info such as sample pipeline code that prompts the error and the version of KFServing you have installed?",
"```\r\nimport kfp.dsl as dsl\r\nimport kfp.compiler as compiler\r\nfrom kfp import components\r\n\r\nkfserving_op = components.load_component_from_url(\r\n \"https://raw.githubuser... | 2021-03-22T15:37:11 | 2021-04-08T01:10:02 | 2021-04-08T01:10:02 | NONE | null | ```
raceback (most recent call last):
File "kfservingdeployer.py", line 414, in <module>
main()
File "kfservingdeployer.py", line 381, in main
max_replicas=max_replicas
File "kfservingdeployer.py", line 235, in perform_action
watch=True, timeout_seconds=watch_timeout)
File "kfservingdeployer... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5350 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5350/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5350/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5350/events | https://github.com/kubeflow/pipelines/issues/5350 | 837,421,715 | MDU6SXNzdWU4Mzc0MjE3MTU= | 5,350 | Dashboard page crashes when entering invalid value into Recurring run "Start time" input | {
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"Thank you for reporting! I can validate that this issue happens on Safari browser, which doesn't enforce the time format as it does on Chrome: \r\n\r\n\r\nTrying to find for a fix for this usecase.\r\n"... | 2021-03-22T07:39:05 | 2021-04-02T16:26:41 | 2021-04-02T16:26:41 | NONE | null | /kind bug
**What steps did you take and what happened:**
<img width="634" alt="image" src="https://user-images.githubusercontent.com/5370798/107193399-1a0b9900-69ef-11eb-839b-64c803abe362.png">
When I select whole value in the text input, and press "1" (meaning that I want to write full time by hand), the whole ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5348 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5348/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5348/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5348/events | https://github.com/kubeflow/pipelines/issues/5348 | 837,347,857 | MDU6SXNzdWU4MzczNDc4NTc= | 5,348 | ScheduledWorkflow is not deleted along with RecurringRun | {
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"@hilcj hello. I think this issue should be labeld to `area/backend`",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"This issue has been automatically closed because it has not ha... | 2021-03-22T05:56:41 | 2022-04-18T17:27:46 | 2022-04-18T17:27:46 | CONTRIBUTOR | null | ### What steps did you take:
Removed Recurring Run via python's KFP package.
(The Recurring Runs to be deleted are all those associated with a particular Experiment.)
### What happened:
The job information of the RecurringRun were removed from mysql, but the ScheduledWorkflow (CRD) was not removed.
### What di... | {
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"I think the main reason for the error is that you're not using full paths in `file_outputs`. The system cannot find those files.\r\nCan you try specifying the full paths everywhere?\r\n\r\nAdditionally I see couple of other issues (although they should not be leading to errors).\r\n\r\n* Directly constructing `Con... | 2021-03-22T03:38:33 | 2021-04-10T04:09:16 | 2021-04-10T04:09:16 | NONE | null | ### What steps did you take:
[A clear and concise description of what the bug is.]
**I upload a pipeline to load data,the function's code like this**
**Dockerfile**
![image](https://user-images.githubuse... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5343 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5343/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5343/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5343/events | https://github.com/kubeflow/pipelines/issues/5343 | 836,855,994 | MDU6SXNzdWU4MzY4NTU5OTQ= | 5,343 | KFServing component missing request timeout support | {
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"Bump @pvaneck ",
"Just a note that any of the PodSpec fields can be used with the component if you pass in yaml directly:\r\n```python\r\n isvc_yaml = '''\r\n apiVersion: \"serving.kubeflow.org/v1beta1\"\r\n kind: \"InferenceService\"\r\n metadata:\r\n name: \"sklearn-iris2\"\r\n spec:\r\n ... | 2021-03-20T16:41:13 | 2021-04-08T03:25:57 | 2021-04-08T03:25:57 | MEMBER | null | /kind bug
/kind feature
Hi. Recently the KFServing component for the pipeline was updated to v0.5.1 supporting v1beta1 API. This component is still missing the `timeout` field in PredictorSpec which specifies the number of seconds to wait before timing out a request to the component. A couple of issues were raised... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5335 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5335/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5335/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5335/events | https://github.com/kubeflow/pipelines/issues/5335 | 835,619,546 | MDU6SXNzdWU4MzU2MTk1NDY= | 5,335 | kubeflow pipelines recurring run fails intermittently due to minio service | {
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"HI @rexshang,\r\n\r\nI can think of three ways to improve:\r\n* set up a retry strategy, so that the pipeline can auto retry a few times when the instability happens (you should always expect other services may fail)\r\n* use managed storage, gcs is probably stabler than minio\r\n* upgrade minio server, the defaul... | 2021-03-19T06:40:14 | 2022-04-18T15:26:52 | null | NONE | null | ### What steps did you take:
I'm running kubeflow 1.0.4 in GCP. There is a recurring job that runs every 15 min. It would fail about 1 time a day and generate the following error. Does anyone have any pointers to help me troubleshoot?
### What happened:
"time="2021-03-18T04:55:22Z" level=warning msg="Failed to ... | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"/lifecycle frozen",
"superceded by https://github.com/kubeflow/pipelines/issues/6204"
] | 2021-03-19T01:01:48 | 2021-08-25T06:35:13 | 2021-08-25T06:35:13 | CONTRIBUTOR | null | We are missing some doc to introduce how to configure KFP to run stably in a production environment. | {
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"Thank you for the suggestion @maganaluis ! It makes sense to change the lifetime for DB connection, and make it configurable. Welcome to contribute this feature!",
"@zijianjoy I created the PR. After changing this configuration we did not experience any of these errors anymore, so seems to be the correct approac... | 2021-03-18T14:11:06 | 2023-05-14T21:59:38 | 2021-08-04T21:28:23 | CONTRIBUTOR | null | ### What steps did you take:
We recently switched from using the MySQL database that Kubeflow Pipelines comes with, to a managed database on Azure. We started observing errors such as the one below, the errors are not consistent but they do happen often enough to impact our workloads.
I have not been able to rep... | {
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"Thank you @AntPeixe for this suggestion! Currently we are able to filter by pipeline name, but we might need to take an action to give some examples about how to use it, and improve reference documentation.",
"This issue has been automatically marked as stale because it has not had recent activity. It will be cl... | 2021-03-18T13:13:06 | 2022-04-18T17:27:49 | 2022-04-18T17:27:49 | NONE | null | /kind feature
**Why you need this feature:**
Right now it isn't possible to (easily) get the pipeline ID by it's name. When creating a new pipeline it may happen that a name already exists and the POST request returns an error. I'd like to be able to then get ID of such pipeline using it's name.
I think currently ... | {
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"Duplicate of https://github.com/kubeflow/pipelines/issues/3763",
"Can you confirm?",
"Confirmed this fixes the issue\r\n`kubectl delete pod ml-pipeline-persistenceagent-xxxxxxx-xxxx -n kubeflow`\r\n\r\nAlso observed that the persistence-agent was looping over an old copy of pipelines possibly from a previous d... | 2021-03-18T09:12:12 | 2021-03-19T02:58:36 | 2021-03-19T02:58:36 | NONE | null | This is a deployment of Kubeflow on Kubernetes. Previously, Kubeflow was running fine. From one day, all newly created runs cannot get any other status than 'Unknown'. Inside the run, the 'Graph' tab is stuck at loading forever. Run outputs stay at none, and the 'Config' tab shows everything as expected.
From the Ar... | {
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"/cc @zijianjoy ",
"Example pipeline\r\n\r\n```\r\nHOST = '<redacted>'\r\n\r\nimport kfp\r\nimport kfp.components as comp\r\n\r\n\r\ndef fail():\r\n import sys\r\n println(\"failed\")\r\n sys.exit(1)\r\n\r\n\r\ndef echo():\r\n println(\"hello world\")\r\n\r\n\r\ndef main():\r\n fail_op = comp.func_... | 2021-03-18T05:29:16 | 2021-03-24T08:28:23 | 2021-03-24T08:28:23 | CONTRIBUTOR | null | ### What steps did you take:
[A clear and concise description of what the bug is.]
### What happened:
It seems there was a change that all skipped nodes in the pipeline are also added to workflow status, so they also render in KFP UI now. However, it doesn't show properly.
TODO: I'll upload a screenshot and giv... | {
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"Duplicate of https://github.com/kubeflow/pipelines/issues/5223",
"No one maintains Kubeflow 1.2 istio-dex distribution"
] | 2021-03-18T02:23:18 | 2021-03-19T01:06:49 | 2021-03-19T01:06:49 | NONE | null | ### What steps did you take:
[A clear and concise description of what the bug is.]
I'm just installing Kubeflow with kfctl_istio_dex.yaml config in my Kubernetes local cluster following [this instruction](https://www.kubeflow.org/docs/started/k8s/kfctl-istio-dex/). Every pods are running successfully except `ml-pip... | {
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"> i think the kubeflow is triggering the pipelines to be in a single node. \r\n\r\nAre you sure this is the case? KFP compiler creates and Argo Workflow object and Argo controller just creates Kubernetes Pods. Do you see anything strange with the pods that Argo creates? Perhaps the pods are not allowed to be sched... | 2021-03-17T20:53:31 | 2022-03-03T00:05:15 | null | NONE | null | When i run many pipelines from kubeflow UI. some of the pipelines are crashing with the error statement "This step is in Failed state with this message: failed with exit code 137". I think that this is a out of memory error. when we investigated from kubernetes side , we see that all the pipelines are running on a sing... | {
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"Hello!\r\n\r\nThere are two old issues about this, so let's link to them:\r\n* https://github.com/kubeflow/pipelines/issues/3226\r\n* https://github.com/kubeflow/pipelines/issues/3731\r\n\r\nMoreover, to fix this I suggest we rely on existing pagination support of the backend, thus making the the UI backwards comp... | 2021-03-17T16:45:07 | 2021-03-18T17:38:03 | 2021-03-18T17:38:03 | COLLABORATOR | null | ### What is the issue
Discussion: https://github.com/kubeflow/pipelines/pull/5311#pullrequestreview-613890507
It is hard to scale when there are many artifacts to show on [Artifact list](https://github.com/zijianjoy/pipelines/blob/master/frontend/src/pages/ArtifactList.tsx). We should implement something that API... | {
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"Moving this to v2 compatible project, because this especially affects MLMD artifacts etc, they are important in v2 compatible mode"
] | 2021-03-17T16:40:04 | 2021-07-15T20:36:38 | 2021-07-15T20:36:38 | COLLABORATOR | null | ### Issue description
Discussion: https://github.com/kubeflow/pipelines/pull/5311#pullrequestreview-613890507
We received report from users that the clickable items on Artifact list page are hard to discover, because they are grey color. You can only discover that they are clickable when you hover over to that item... | {
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"I'm not sure this is related to Kubeflow Pipelines. Have you checked how the created pod looks like? You can also replace the command with `sleep 9999` and then use `kubectl exec` to probe and debug the pod.\r\n\r\nWe advice our users to avoid using volumes directly (and creating ContainerOp directly as well).\r\n... | 2021-03-16T00:45:04 | 2022-04-18T17:27:50 | 2022-04-18T17:27:50 | NONE | null | More like a question kind
Currently, I have a pipeline contains a op like:
```
def preprocess_op(input_path, output_path):
op = dsl.ContainerOp(
name='process data',
image='image:latest',
command=[
'sh',
'-c',
],
arguments=[
f'c... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5306 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5306/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5306/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5306/events | https://github.com/kubeflow/pipelines/issues/5306 | 832,225,674 | MDU6SXNzdWU4MzIyMjU2NzQ= | 5,306 | E2E-mnist sample not up-to-date with Katib launcher | {
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"This example is no longer maintained in this repo. I tried to fix it for kubeflow 1.0 at https://github.com/kubeflow/pipelines/pull/4126 a while ago, but seems like the original author is no longer active",
"cc @andreyvelich : What is the current status of this component? Should we perform a fix or remove this e... | 2021-03-15T21:58:34 | 2021-07-27T18:22:44 | 2021-07-27T18:22:44 | NONE | null | ### What steps did you take:
Run the e2e mnist notebook
### What happened:
Got TypeError: Katib - Launch Experiment() got an unexpected keyword argument 'parallel_trial_count'
Trying to execute
```
katib_experiment_launcher_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pip... | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"This issue has been automatically closed because it has not had recent activity. Please comment \"/reopen\" to reopen it.\n"
] | 2021-03-15T17:58:13 | 2022-04-18T17:27:48 | 2022-04-18T17:27:48 | CONTRIBUTOR | null | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5304 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5304/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5304/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5304/events | https://github.com/kubeflow/pipelines/issues/5304 | 831,878,336 | MDU6SXNzdWU4MzE4NzgzMzY= | 5,304 | ML-Engine deploy model component missing region parameter | {
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"/assign",
"@zijianjoy should we aim for making [all arguments](https://cloud.google.com/sdk/gcloud/reference/ml-engine/versions/create) available for the user or keep a selected few(I see that we currently only support some options)? ",
"After looking in to this I believe this is actually already possible @Amr... | 2021-03-15T14:37:51 | 2022-03-03T00:05:29 | null | NONE | null | Hi,
I am using the ml-engine component to deploy a ML model to AI Platform Prediction (from a Kubeflow deployment in AI Platform Pipelines), however there is no available parameter to deploy the model into a particular region. This results in the model deployment defaulting to the us-central1 region. Is there any way... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5303 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5303/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5303/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5303/events | https://github.com/kubeflow/pipelines/issues/5303 | 831,795,881 | MDU6SXNzdWU4MzE3OTU4ODE= | 5,303 | Kubeflow / AI Platform Pipelines runtime context missing when output is taken from cache | {
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"Hi @SaschaHeyer, thank you for the report!\n\nWhat is your TFX version? KFP cache shouldn't run on TFX pipelines. This is a bug.",
"Hi @Bobgy \r\nissue can be reproduced with 0.27.0 and 0.28.0",
"@SaschaHeyer can you provide a minimum reproducible TFX pipeline with a requirements.txt for all dependencies versi... | 2021-03-15T13:10:14 | 2021-07-14T05:24:59 | 2021-07-14T05:24:59 | NONE | null | ### What steps did you take:
1. deploy pipeline with one component
2. run pipeline with one component (👍 works)
3. add another component
4. run the pipeline (this time the output is taken from cache) (👎 fails)
### What happened:
The pipeline runs into the following error
```
Traceback (most recent call l... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5302 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5302/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5302/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5302/events | https://github.com/kubeflow/pipelines/issues/5302 | 831,792,710 | MDU6SXNzdWU4MzE3OTI3MTA= | 5,302 | Kubeflow / AI Platform Pipelines component visualization missing | {
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"Duplicate of #5303",
"This has the same root cause, so I am closing it"
] | 2021-03-15T13:06:45 | 2021-03-27T00:58:41 | 2021-03-27T00:58:41 | NONE | null | ### What steps did you take:
1. run the pipeline (visualization is rendered)
2. run the pipeline again (visualization is missing)
### What happened:
On the second run, the StatisticsGen component has missing static HTML and metadata.
This issue can be reproduced only if the run output is taken from the cache. ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5296 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5296/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5296/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5296/events | https://github.com/kubeflow/pipelines/issues/5296 | 830,890,815 | MDU6SXNzdWU4MzA4OTA4MTU= | 5,296 | [sdk] KFP SDK fail to use argo CLI >=2.12 to lint workflows | {
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"/assign @Ark-kun @chensun "
] | 2021-03-13T12:41:59 | 2021-03-19T04:10:17 | 2021-03-19T04:10:17 | CONTRIBUTOR | null | ### What happened:
After https://github.com/kubeflow/pipelines/pull/5266, I noticed in tests, the warning
> Cannot validate the compiled workflow. Found the argo program in PATH, but it's not usable. argo v2.4.3 should work.
### What did you expect to happen:
KFP SDK can use latest argo CLI to validate workfl... | {
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"We currently have the following support for time formatting: https://github.com/kubeflow/pipelines/blob/0795597562e076437a21745e524b5c960b1edb68/backend/src/crd/samples/scheduledworkflow/parameterized.yaml#L29-L33.\r\n\r\nDoes it fit your use case?",
"Hi @zijianjoy tried exploring the documentation. \r\n\r\nLet... | 2021-03-13T01:59:16 | 2022-04-18T17:27:53 | 2022-04-18T17:27:53 | NONE | null | We are trying to use KFP's [ScheduledTime] parameter in TFX Pipelines runtime parameters. [We have discussed](https://github.com/tensorflow/tfx/issues/3354) with @1025KB from the TFX project and he suggested we file this ticket to enable this functionality on the KFP side by allowing users to be able to specify transfo... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5292 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5292/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5292/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5292/events | https://github.com/kubeflow/pipelines/issues/5292 | 830,284,073 | MDU6SXNzdWU4MzAyODQwNzM= | 5,292 | Feature request: don't start run if obligatory parameters are missing | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"This issue has been automatically closed because it has not had recent activity. Please comment \"/reopen\" to reopen it.\n"
] | 2021-03-12T16:41:48 | 2022-04-18T17:28:01 | 2022-04-18T17:28:01 | NONE | null | /kind feature
**Why you need this feature**:
Currently it is possible to start a run even if some parameters that are obligatory in a step, are missing. It would be easier to have the option to make some parameters obligatory to begin with (just like pipeline, pipeline version, run name, experiment), making it impo... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5288 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5288/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5288/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5288/events | https://github.com/kubeflow/pipelines/issues/5288 | 829,727,011 | MDU6SXNzdWU4Mjk3MjcwMTE= | 5,288 | [Bug] KeyValueStore fails to check the cached data with new data | {
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"cc @Ark-kun ",
"Thank you @lynnmatrix ! This bug makes sense and would you like to contribute a PR for the fix?",
"@zijianjoy, My colleague @michaelliqx has fixed it in PR #5290.",
"Thank you for the discovery and the fix.\r\nI wonder how this worked before....?\r\n\r\nUpdate: I see that this code was somew... | 2021-03-12T03:37:16 | 2021-03-24T06:08:06 | 2021-03-24T00:03:44 | MEMBER | null | Typo bug.
```
def store_value_bytes(self, key: str, data: bytes) -> str:
...
if cache_value_file_path.exists():
old_data = cache_value_file_path.write_bytes()
...
```
should be:
```
def store_value_bytes(self, key: str, data: bytes) -> str:
...
if cache_value_file_path.... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5285 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5285/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5285/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5285/events | https://github.com/kubeflow/pipelines/issues/5285 | 829,102,215 | MDU6SXNzdWU4MjkxMDIyMTU= | 5,285 | Orchestration - Flakiness in small samples when using PNS executor | {
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"/assign @chensun @neuromage \r\n/cc @Ark-kun @capri-xiyue \r\n\r\nI think we need to discuss this problem, from KFP side, we could automatically mount emptyDir for users.",
"/cc @jessesuen @alexec\r\nDo you have any suggestions? Is my above understanding of the workarounds accurate?",
"Hmm, strange, I'm not se... | 2021-03-11T12:22:54 | 2021-08-22T07:03:03 | 2021-08-22T07:03:03 | CONTRIBUTOR | null | In https://github.com/kubeflow/pipelines/pull/5273, I switched to PNS executor by default. After that, it seems lightweight component sample fail more frequently than before.
(It failed 3 times consecutively in an example I found, but it seems to me that the last two failures should be fixed by https://github.com/ku... | {
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"> Examples:\r\n> \\# Print the logs of a workflow:\r\n> \r\n> argo logs my-wf"
] | 2021-03-11T11:53:09 | 2021-03-12T03:39:24 | 2021-03-12T03:39:24 | CONTRIBUTOR | null | > [36msample-test-bpnv9-4034248067: unknown shorthand flag: 'w' in -w[0m
See https://storage.googleapis.com/oss-prow/pr-logs/pull/kubeflow_pipelines/4147/kubeflow-pipeline-sample-test/1369916972707352576/build-log.txt in https://github.com/kubeflow/pipelines/pull/4147.
It seems after certain versions, argo CLI ... | {
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"@Bobgy is it possible to confirm what the expected behavior is with optional params?",
"/assign @chensun @Ark-kun ",
"Thank you for the detailed issue report.\r\n\r\nThe behavior is by design. There is no special/different behavior for multiple optional arguments. What you see is mostly the way you program par... | 2021-03-11T07:36:42 | 2022-03-13T01:10:31 | 2022-03-03T06:05:32 | NONE | null | ### What steps did you take:
When an input param is given as `optional: True` in the component YAML, and the Python program uses a CLI library such as argparse or click to accept options, the optional params get passed as **flags** instead of as **omitted arguments** as expected.
Given a `component.yaml` file such ... | {
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"Interesting. The hydra command-line format is different from the normal way of specifying command-line arguments that 99% of other command-line tools use (separating flag and value, instead of joining them with `=`).\r\n\r\nHowever, the `ComponentSpec`/`component.yaml` format supports such command lines via the `c... | 2021-03-11T06:13:45 | 2021-03-15T17:59:03 | 2021-03-15T17:57:21 | COLLABORATOR | null | Using `ContainerOp` to define component, users can use [hydra](https://hydra.cc/) arguments like shown below.
```
import kfp.dsl as dsl
import kfp.gcp as gcp
import kfp.compiler as compiler
....
transform = dsl.ContainerOp(
name="transform",
image="gcr.io/{}/image:latest".format(... | {
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"/assign @chensun \r\n/cc @Ark-kun ",
"Hmm.\r\nInteresting. We had this issue before and @munagekar fixed it by changing the warning type from `DeprecationWarning` to `FutureWarning`. https://github.com/kubeflow/pipelines/pull/4658\r\n\r\nIt looks like that warning is still not show to the users even when we see ... | 2021-03-11T05:38:46 | 2021-03-30T09:56:18 | 2021-03-30T09:56:18 | COLLABORATOR | null | ### What steps did you take:
Compile the following pipeline
```
import kfp
def _sample_component_op(
name: str, run_id: str, sample_metric_value: float
) -> kfp.dsl.ContainerOp:
arguments = [run_id, sample_metric_value]
return kfp.dsl.ContainerOp(
name=name,
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"/assign @Ark-kun @neuromage @chensun ",
"There seems to be an error in your function definition. I'm not fully sure what is the behavior you've intended, but you probably should not be using the `InputPath` annotation given your component function code:\r\nJust use `def hydrate_schema(synced_local_path: str`. Or... | 2021-03-10T20:32:53 | 2022-04-18T17:27:32 | 2022-04-18T17:27:32 | NONE | null | ### What steps did you take:
Converting a python func to compoent:
```python
import kfp
def hydrate_schema(
synced_local_path: kfp.components.InputPath(str), data_schema: str
) -> str:
import re
if not synced_local_path.endswith("/"):
synced_local_path += "/"
return re.sub(r"s3:.... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5276 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5276/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5276/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5276/events | https://github.com/kubeflow/pipelines/issues/5276 | 828,034,789 | MDU6SXNzdWU4MjgwMzQ3ODk= | 5,276 | [Manifests] how to organize argo artifact repository config without duplication? | {
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"For long term 3 sound like the way to go. ",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"This issue has been automatically closed because it has not had recent activity. Please... | 2021-03-10T16:51:51 | 2022-04-18T17:27:53 | 2022-04-18T17:27:53 | CONTRIBUTOR | null | ## The problem
Realized the problem from https://github.com/kubeflow/pipelines/pull/5273.
Argo artifact repository config is highly coupled to minio, so it's best put inside minio's manifests and get it reused in manifests envs that use minio.
However, if we save the config as a patch, it's only allowed to use... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5272 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5272/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5272/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5272/events | https://github.com/kubeflow/pipelines/issues/5272 | 826,881,274 | MDU6SXNzdWU4MjY4ODEyNzQ= | 5,272 | [Testing] kubeflow-pipeline-postsubmit-integration-test flaky 2021-3-10 | {
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"For aiplatform, here is a sample of test failure log:\r\n\r\n```\r\n\r\nsample-test-92wvs-4170907803: Using endpoint [https://ml.googleapis.com/]\r\nsample-test-92wvs-4170907803: ERROR: (gcloud.ai-platform.predict) HTTP request failed. Response: {\r\nsample-test-92wvs-4170907803: \"error\": {\r\nsample-test-92wv... | 2021-03-10T00:58:54 | 2021-08-22T07:00:13 | 2021-08-22T07:00:13 | CONTRIBUTOR | null | kubeflow-pipeline-postsubmit-integration-test has been failing consecutively.
I did a quick check, the following samples are both flaky:
* aiplatform
* container_build
Creating this issue to track solving this
/assign @zijianjoy | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5270 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5270/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5270/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5270/events | https://github.com/kubeflow/pipelines/issues/5270 | 826,683,485 | MDU6SXNzdWU4MjY2ODM0ODU= | 5,270 | parallelfor_item_argument_resolving test failed to run | {
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"Good catch.\r\nSome time ago the return value of the component function was not passed completely correctly. So the components had to whap output in a tuple when outputting a single list. The problem was fixed in the SDK, but the test was not updated."
] | 2021-03-09T21:47:37 | 2021-03-11T22:06:25 | 2021-03-11T22:06:25 | MEMBER | null | ### What steps did you take:
Run the parallelfor_item_argument_resolving compiler test example on Kubeflow Pipeline, the pipeline will fail because item arguments are wrapped into list of list of items instead of list of items
https://github.com/kubeflow/pipelines/blob/master/sdk/python/tests/compiler/testdata/parall... | {
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"I'm also getting this error in the main landing page:\r\n```json\r\n{error: \"Invalid input error: ListRuns must filter by resource reference in multi-user mode.\",…}\r\ncode: 3\r\ndetails: [{@type: \"type.googleapis.com/api.Error\",…}]\r\n0: {@type: \"type.googleapis.com/api.Error\",…}\r\n@type: \"type.googleapis... | 2021-03-09T18:29:51 | 2022-03-03T06:05:33 | 2022-03-03T06:05:33 | NONE | null | ### What steps did you take:
I'm running a multiuser pipeline environment with kubeflow 1.2.0. From what I am seeing the `ml-pipeline-ui` service calls the `ml-pipeline` service when some actions on the ui are take like for example: start a pipeline run or create an experiment
I'm getting this error on the ui:
``... | {
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```
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https://api.github.com/repos/kubeflow/pipelines/issues/5257 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5257/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5257/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5257/events | https://github.com/kubeflow/pipelines/issues/5257 | 824,311,950 | MDU6SXNzdWU4MjQzMTE5NTA= | 5,257 | VolumeOp was not able to create PVC | {
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"/assign @elikatsis \r\nCan you help with this issue?",
"Kubeflow cache's steps, so given the same inputs, it skips the step and instead fetches outputs from minio. \r\nVolume op has no outputs in Minio so ideally VolumeOp should not be cached. \r\n\r\nIn this case you would need to change the name of the PVC. \r... | 2021-03-08T08:24:43 | 2022-03-02T18:05:18 | null | NONE | null | ### What steps did you take:
A simple pipeline with one vol_op and one simple step that mounts the pvc created.
```python
# minimal example
import kfp
@kfp.dsl.pipeline(
name="data download and upload",
description="Data IO test"
)
def volume_pipeline():
# shared vol
vop = kfp.d... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5254 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5254/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5254/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5254/events | https://github.com/kubeflow/pipelines/issues/5254 | 823,672,141 | MDU6SXNzdWU4MjM2NzIxNDE= | 5,254 | Pip package kfp 1.4.1 and kfp-server-api 1.4.0 missing | {
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"/cc @chensun \n\nRecently, KFP sdk has been released in separate schedule than backend. There hasn't been enough communication about it.\n\nKfp-server-api 1.4.0 missing was a mistake, but I no longer see the need to release it when 1.4.1 is out.",
"Thanks for confirming this. This is something I wanted to clear ... | 2021-03-06T15:15:10 | 2021-05-10T00:50:48 | 2021-03-24T08:29:54 | CONTRIBUTOR | null | While updating some images I noticed a discrepancy with the releases of `kfp` and `kfp-server-api` on PyPi. `kfp` 1.4.1 is not available on PyPi but `kfp-server-api` 1.4.1 is available. In turn `kfp` 1.4.0 is available and `kfp-server-api` 1.4.1 is not available. Is this intentional (were kfp 1.4.1 and kfp-server-api 1... | {
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"u... | closed | false | null | [] | null | [] | 2021-03-05T17:28:43 | 2021-03-08T15:17:59 | 2021-03-08T15:17:59 | NONE | null | ### What steps did you take:
I am trying to get runs sorted on a particular metric using the kfp python package. I am calling the `list_runs` function and passing the `sort_by` parameter.
i.e. ```list_runs(sort_by='metric:accuracy_score asc')```
### What happened:
Getting the following error:
```
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https://api.github.com/repos/kubeflow/pipelines/issues/5247 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5247/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5247/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5247/events | https://github.com/kubeflow/pipelines/issues/5247 | 822,788,555 | MDU6SXNzdWU4MjI3ODg1NTU= | 5,247 | dsl ResourceOp with parameterized manifest is throwing validation error | {
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"/assign @chensun @Ark-kun ",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"Any update on this?",
"This issue has been automatically marked as stale because it has not had recen... | 2021-03-05T06:24:52 | 2022-03-02T10:06:30 | null | CONTRIBUTOR | null | ### What steps did you take:
I am trying to pass the output of one step to resourceOp instead of the actual manifest
```
c_op = dsl.ContainerOp(
name='patch',
image='docker.intuit.com/data-mlplatform/mlp-components/service/patch',
command=['python3','mlp/components/patch.py'],
... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5244 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5244/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5244/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5244/events | https://github.com/kubeflow/pipelines/issues/5244 | 822,627,271 | MDU6SXNzdWU4MjI2MjcyNzE= | 5,244 | Cache Webhook "disabled" by default in Azure | {
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"@dtzar @eedorenko @sudivate",
"In azure, the problem is that istio pods are not being injected to the pods in kubeflow. \r\n\r\nAzure enforces that the `MutatingWebhookConfiguration - istio-sidecar-injector` in kubeflow is being automatically edited by AKS to add the following match expression in the namespaceSe... | 2021-03-05T00:30:56 | 2022-03-11T06:04:49 | 2022-03-11T06:04:49 | NONE | null | ### What happened:
[A clear and concise description of what the bug is.]
Right now, mutating webhooks are used for components such as the cache-server. Previously there was an issue with the knative webhook, so the label "control-plane" was attached to prevent the webhook from triggering all the time. (Refer to https... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5240 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5240/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5240/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5240/events | https://github.com/kubeflow/pipelines/issues/5240 | 822,412,063 | MDU6SXNzdWU4MjI0MTIwNjM= | 5,240 | Presubmit test failing 03/04/2021 | {
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```
Traceback (most recent call last):
File "/samples/core/train_until_good/train_until_good.py", line 1, in <module>
import kfp; kfp.components.default_base_image_or_builder="gcr.io/google-appengine/python:2020-03-31-141326"
File "/usr/local/lib/python3.7/site-packages/kfp-1.4.1-py3.7.egg/kfp/__i... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5238 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5238/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5238/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5238/events | https://github.com/kubeflow/pipelines/issues/5238 | 821,826,483 | MDU6SXNzdWU4MjE4MjY0ODM= | 5,238 | Issue in decoding the output artifact fetched using self._run_api.read_artifact() in Kubeflow client | {
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"@vishalsmb I think https://github.com/kubeflow/pipelines/issues/4327#issuecomment-687255001 is probably a good example"
] | 2021-03-04T07:01:24 | 2021-03-30T02:42:53 | 2021-03-30T02:42:53 | NONE | null | I'm fetching an artifact output using kubeflow client. When I try to decompress the returned value, its returning junk characters along with the actual content. Attaching the sample code. Please let me know if any is wrong with the decoding that I'm doing here.
Code :
`from kfp import Client
import base64
import ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5236 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5236/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5236/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5236/events | https://github.com/kubeflow/pipelines/issues/5236 | 821,698,248 | MDU6SXNzdWU4MjE2OTgyNDg= | 5,236 | [Testing] postsubmit mkp test failure 2021.3.4 | {
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"The failure: https://oss-prow.knative.dev/view/gs/oss-prow/logs/kubeflow-pipeline-postsubmit-mkp-e2e-test/1365452157549023232#1:build-log.txt%3A7816\r\n\r\nStep #1 - \"verify\": 37s Warning FailedScheduling pod/ml-pipeline-55bbc45946-m7s66 0/3 nodes are available: 2 Insufficient memo... | 2021-03-04T02:50:29 | 2021-04-01T02:07:40 | 2021-03-04T06:03:41 | CONTRIBUTOR | null | First failing mkp test: https://oss-prow.knative.dev/view/gs/oss-prow/logs/kubeflow-pipeline-postsubmit-mkp-e2e-test/1365452157549023232
Root cause seems to be: https://github.com/kubeflow/pipelines/pull/5158 | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5234 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5234/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5234/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5234/events | https://github.com/kubeflow/pipelines/issues/5234 | 821,046,204 | MDU6SXNzdWU4MjEwNDYyMDQ= | 5,234 | Delete pipeline pods after running | {
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"Hi @andre-lx, is https://github.com/kubeflow/pipelines/issues/3938 the corresponding config?",
"I think: \r\n```\r\n.set_ttl_seconds_after_finished(seconds: int)\r\n```\r\nis what you are looking for if you like to remove the underlying pipeline after if is finished for a specific pipeline, reference posted by B... | 2021-03-03T12:02:46 | 2021-08-11T19:26:12 | 2021-03-24T14:41:52 | NONE | null | Hi.
I was trying to delete the pods of the pipelines after running.
This will help a lot, for example in gpu pipeline functions. As an example:
```python
def some_func():
some_task = (
kfp_generator().set_gpu_limit(1, 'nvidia')
```
In our enviorment, this pipeline step will start a gpu nod... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5232 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5232/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5232/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5232/events | https://github.com/kubeflow/pipelines/issues/5232 | 820,897,119 | MDU6SXNzdWU4MjA4OTcxMTk= | 5,232 | Upgrade argo image to 2.12+ | {
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"/assign",
"I found that there's now a maintained tool to extract licenses from go libraries: https://github.com/google/go-licenses.\r\n\r\nWe can use it instead of our home-made tool.\r\n\r\nUPDATE: I took a look and it seems this new tool doesn't support go modules, so it could only get licenses using a library... | 2021-03-03T08:56:23 | 2021-03-11T06:03:11 | 2021-03-11T06:03:10 | CONTRIBUTOR | null | Part of https://github.com/kubeflow/pipelines/issues/4553
/cc @NikeNano | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5230 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5230/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5230/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5230/events | https://github.com/kubeflow/pipelines/issues/5230 | 820,769,343 | MDU6SXNzdWU4MjA3NjkzNDM= | 5,230 | 403 error or empty response when using KFP SDK to connect to AI Platform Pipelines / KFP standalone on GCP | {
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"@Bobgy I also found this problem today. The solution you suggested it solves well thanks.\r\n\r\nI want to know why this changes happened, and where I can find out before this kind of changes occurs.",
"Tnx @Bobgy , we also had the problem starting today. Your solution fixed it, though we had to use kfp==1.4.0\r... | 2021-03-03T05:50:35 | 2021-04-09T00:36:41 | 2021-04-09T00:36:41 | CONTRIBUTOR | null | The problem just started happening yesterday.
To resolve the problem, ensure you are doing BOTH of the following:
1. Use "kfp" SDK version 0.5.2 or >= 1.0.4:
e.g. `pip install kfp==0.5.2` or `pip install kfp==1.0.4` or `pip install --upgrade kfp`.
You can check which version you are using via `pip l... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5229 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5229/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5229/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5229/events | https://github.com/kubeflow/pipelines/issues/5229 | 820,125,839 | MDU6SXNzdWU4MjAxMjU4Mzk= | 5,229 | missing "hidden input" type for enabling credential input to pipline | {
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"@klaimane I'd suggest mounting k8s secret into related steps, so it's not handle by the pipeline system.",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"This issue has been autom... | 2021-03-02T15:28:41 | 2022-04-28T18:00:19 | 2022-04-28T18:00:19 | NONE | null | I need to pass credentials to the pipe in order to authenticate, but currently all pipeline input parameters are visible in the UI and pipe logs. We need a dedicated input type that is hidden (e.g. displays asterisks) to enable users to authenticate securely without the credential showing up in the pipe UI or logs.. | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5223 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5223/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5223/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5223/events | https://github.com/kubeflow/pipelines/issues/5223 | 819,261,868 | MDU6SXNzdWU4MTkyNjE4Njg= | 5,223 | [Kubeflow Dex Distribution] KF Pipelines 100% Unusable - MULTIPLE PEOPLE REPORTING | {
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"Note most users of Kubeflow experiencing this bug cannot afford to wait 6-9 months for the next release which may or may not address this problem. This bug breaks this product. We need a solution immediately. This part of the product is considered STABLE. ",
"Kubernetes installed via Kubespray ",
"Hi @ReggieCa... | 2021-03-01T20:54:25 | 2023-05-14T21:58:36 | null | NONE | null | ### What steps did you take:
KFP in KF 1.2.0 with Dex on K8s 1.18.9 does not work. I receive an error in the KF dashboard when attempting to view pipelines:
Error: failed to retrieve list of pipelines. Click Details for more information. -> An error occured, no healthy upstream
### What happened:
Install... | {
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"Thanks @boarder7395 for filing this issue. \r\n\r\nI think the solution for treating `mlpipeline-metadata-ui` and `metrics-ui artifacts` as special in this rewriter is reasonable. If you submit a PR, we can review it. You mentioned you had a couple of other options too. Would you mind outlining them in this issue?... | 2021-03-01T19:48:58 | 2022-04-18T17:27:44 | 2022-04-18T17:27:44 | CONTRIBUTOR | null | ### What steps did you take:
When using the experimental feature of data passing with a volume mlpipeline-metadata-ui artifacts, and metrics-ui artifacts do not work. I ran some local testing and have identified the issue to be in kfp/compiler/_data_passing_using_volume.py::rewrite_data_passing_to_use_volumes. Current... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5219 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5219/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5219/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5219/events | https://github.com/kubeflow/pipelines/issues/5219 | 819,058,826 | MDU6SXNzdWU4MTkwNTg4MjY= | 5,219 | KFP DSL Changes requested for Condition Spec | {
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"cc @Udiknedormin @Tomcli @Bobgy ",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"This issue has been automatically closed because it has not had recent activity. Please comment \... | 2021-03-01T16:53:57 | 2022-04-29T03:59:45 | 2022-04-29T03:59:45 | CONTRIBUTOR | null | https://docs.google.com/document/d/1B2CQgyouqd6oSnqXtGk9uXaUV7JKEvQxFERbyQcZjZw/edit?usp=sharing
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https://api.github.com/repos/kubeflow/pipelines/issues/5209 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5209/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5209/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5209/events | https://github.com/kubeflow/pipelines/issues/5209 | 818,429,501 | MDU6SXNzdWU4MTg0Mjk1MDE= | 5,209 | [Testing] python presubmit tests failing 2021.3.1 | {
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"Found in https://github.com/kubeflow/pipelines/pull/5196\r\n\r\nWhy did it require docker?",
"> Why did it require docker?\r\n\r\nThe test log seems to be messed up. The docker requirement is from another test which somehow didn't shown as \"FAILED\". That test explicitly asks for testing with `docker`: \r\nhttp... | 2021-03-01T03:46:08 | 2021-03-01T19:04:17 | 2021-03-01T19:04:17 | CONTRIBUTOR | null | https://oss-prow.knative.dev/view/gs/oss-prow/pr-logs/pull/kubeflow_pipelines/5196/kubeflow-pipelines-sdk-python36/1365228134722441216
/assign @chensun | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5199 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5199/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5199/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5199/events | https://github.com/kubeflow/pipelines/issues/5199 | 817,435,214 | MDU6SXNzdWU4MTc0MzUyMTQ= | 5,199 | [FR] Hide sidebar when in Kubeflow mode | {
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"KFP comes already with two deployment modes: `KUBEFLOW` and `MARKETPLACE`. See https://github.com/kubeflow/pipelines/blob/0795597562e076437a21745e524b5c960b1edb68/frontend/src/lib/Flags.ts#L1-L4 and https://github.com/kubeflow/pipelines/blob/0795597562e076437a21745e524b5c960b1edb68/frontend/server/handlers/index-h... | 2021-02-26T15:11:16 | 2021-03-09T15:02:26 | 2021-03-09T15:02:26 | MEMBER | null | There is an ongoing discussion about how web apps should behave when deployed as part Kubeflow. See https://github.com/kubeflow/kubeflow/issues/5566.
The main discussion point I would like to focus on for KFP UI is (quoting from the issue):
> There is a CentralDashboard which:
> - decides what Namespaces to show... | {
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"/assign @chensun ",
"@HaozhengAN , I cannot reproduce this. \r\n\r\nCan you maybe try again in a clean environment?\r\n\r\nHere's what I did for your reference:\r\n1. Create a new virtual environment\r\n`python3 -m venv ~/venv/kfp1.4.0`\r\n`source ~/venv/kfp1.4.0/bin/activate`\r\n2. Install kfp 1.4.0\r\n`pip3 in... | 2021-02-26T08:32:15 | 2022-04-19T08:27:52 | 2022-04-19T08:27:52 | NONE | null | ### What steps did you take:
```python
@dsl.pipeline(
name='Conditional execution pipeline with exit handler',
description='Shows how to use dsl.Condition() and dsl.ExitHandler().'
)
def flipcoin_exit_pipeline():
exit_task = print_op('Exit handler has worked!')
exit_task2 = print_op('Exit handle... | {
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"Worked around by https://github.com/kubeflow/pipelines/pull/5191.\r\n\r\nWe need to report the issue upstream.",
"> I see that both old and new fail to load the tensorflow_model_analysis.js script.\r\nBut then the old version succeeds in loading https://unpkg.com/tensorflow_model_analysis@0.21.5/dist/vulcanized_... | 2021-02-25T11:15:09 | 2022-04-28T18:00:03 | 2022-04-28T18:00:03 | CONTRIBUTOR | null | > I tried to upgrade some other TFX related deps, however, I'm getting the following errors in various places in parameterized_tfx_sample:
>
> * when clicking visualizations on `evaluator`, the visualization js simply crashes without any clear error message. I tried to take a look at browser console, but it only sho... | {
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"/cc @chensun \r\nDo you have bandwidth to take this?\r\n\r\nNot urgent, but I believe we should better have it in next release.",
"I would be happy to help out with this as well. ",
"/assign",
"blocked by: https://github.com/tensorflow/tfx/pull/3484",
"This issue has been automatically marked as stale beca... | 2021-02-25T11:13:01 | 2022-04-18T17:27:42 | 2022-04-18T17:27:42 | CONTRIBUTOR | null | TFX iris example was removed in new releases, it should be replaced by penguins example.
context: https://github.com/kubeflow/pipelines/pull/5189 | {
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"There are quite a few changes with the v1beta1 API that comes with KFServing v0.5.0. Here are some initial findings as I go over the component use case:\r\n\r\nKFServing Component Use Cases\r\n\r\n\r\n- Create InferenceService for available frameworks. General structure would look like:\r\n```\r\nV1beta1InferenceS... | 2021-02-24T18:28:56 | 2021-03-05T22:15:49 | 2021-03-05T22:15:49 | CONTRIBUTOR | null | Needs to be updated/upgraded/tested | {
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"\r\n\r\nNotice that, postsubmit test before the release commit passed, however the released version had a problematic tfx sample pipeline (ignore the failure, it was expected for a release commit).\r\n\r\n... | 2021-02-24T12:10:41 | 2022-03-03T06:05:29 | 2022-03-03T06:05:29 | CONTRIBUTOR | null | In #5137, tfx sample pipeline was broken, but it was not caught by postsubmit test.
> IIRC our integration test should cover this sample, do we know why this is not captured?
Originally posted in https://github.com/kubeflow/pipelines/issues/5137#issuecomment-783788084
I think this is a high priority issue, bec... | {
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Deployed metadata-writer Deployment
### What happened:
https://github.com/kubeflow/pipelines/blob/master/backend/metadata_writer/src/metadata_writer.py#L27 results in setting the namespace to watch as `default` as we are setting empty string or a particular namespace only.
### What ... | {
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"/cc @Ark-kun ",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"This issue has been automatically closed because it has not had recent activity. Please comment \"/reopen\" to reope... | 2021-02-23T19:57:31 | 2022-04-28T18:00:20 | 2022-04-28T18:00:20 | CONTRIBUTOR | null | (With KFP 1.4)
My subgraph component was constructed from other components that I loaded via `load_component_from_file()`.
So, the subgraph yaml has entries that look like this:
```
tasks:
Create dataset tabular bigquery sample:
componentRef: {digest: e185acfe42a7dd076c54a55ba368c772f72a602a... | {
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"Makes sense, I think we should distinguish case when creating an experiment too.\r\nWelcome contribution on this change.",
"/assign",
"The error originates from that `mysql` is [not case sensitve](https://dev.mysql.com/doc/refman/8.0/en/case-sensitivity.html) in the comparisons as I understand it for CHAR, VAR... | 2021-02-23T18:34:10 | 2021-03-28T11:14:51 | 2021-03-28T11:14:51 | NONE | null | ### What steps did you take:
The following code snippet tries to create two experiments. The experiment names only differ in case, e.g. `Untitled` vs `untitled`
```
import kfp
client = kfp.Client(host='http://.../pipeline')
# create experiment succeeds if there is no experiment named `untitled` (ignoring case)... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5166 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5166/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5166/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5166/events | https://github.com/kubeflow/pipelines/issues/5166 | 813,795,265 | MDU6SXNzdWU4MTM3OTUyNjU= | 5,166 | UI metadata sometimes fails to load | {
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"Hi @muyajil, the code you mentioned is correct, because the _fetch function also returns a Promise, this function can just return it, and let its callsites to await for the promise.\r\n\r\nI'm not sure what the problem you hit, welcome more investigation to the root cause. You may follow https://github.com/kubeflo... | 2021-02-22T19:28:45 | 2022-04-18T17:27:38 | 2022-04-18T17:27:38 | NONE | null | ### What steps did you take?
Create UI metadata artifacts as inline web apps.
### What happened?
When trying to view the artifacts I receive the error:
`Could not parse metadata file at: artifacts/xxx/xxx/mlpipeline-ui-metadata.tgz. Error: SyntaxError: Unexpected end of JSON input`
Sometimes it works and sometim... | {
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"/cc @chensun ",
"I think this can be hardly solved without TFX IV providing more flexible configuration options to expose authentication capability when running on a more complex deployment.\r\n\r\nMaybe we shall port this to https://github.com/tensorflow/tfx ?",
"@numerology @Bobgy @chensun This has already b... | 2021-02-22T09:31:23 | 2021-04-07T08:00:39 | 2021-04-07T08:00:39 | CONTRIBUTOR | null | ### What steps did you take:
I'm running a TFX pipeline with an InfraValidator component (https://www.tensorflow.org/tfx/guide/infra_validator). This works by spinning up a TFServing pod using the k8s python client, and optionally querying it.
### What happened:
When InfraValidator tries to spin up TFServing using... | {
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"@Ark-kun Sorry I messed up with my push. Here is the PR https://github.com/kubeflow/pipelines/pull/5246 with correct changes."
] | 2021-02-22T06:58:49 | 2021-03-12T00:12:24 | 2021-03-12T00:12:24 | CONTRIBUTOR | null | The original issue is reported here https://github.com/kubeflow/kubeflow/issues/5605 | {
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"/cc @chensun @neuromage ",
"What is you main usage scenario for this feature request?\r\n\r\n\r\nUsually we advice out users to either use image tags (which are mutable) or use image replacement (in test scenarios). In KFP it's also possible to replace the container image after creating an instance of the compon... | 2021-02-22T06:12:24 | 2021-03-13T16:18:29 | 2021-03-13T09:44:58 | CONTRIBUTOR | null | Would it be possible to make the image name configurable in component.yaml specification, so that the end user could override the image. It is possible to write a function to modify the yaml before it is read by ` kfp.components.load_component_from_text`, however I think this would be a useful addition to component.ya... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5155 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5155/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5155/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5155/events | https://github.com/kubeflow/pipelines/issues/5155 | 812,568,150 | MDU6SXNzdWU4MTI1NjgxNTA= | 5,155 | Recommended Daemon Container Support Alternative? | {
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"/cc @Ark-kun @chensun ",
"I was wondering about this too\r\ndoes kfp have a Op which can start a container and just leave it there\r\n\r\nThanks",
"I've gotten around this by compiling the pipeline yaml, then adding the \"daemon: true\" line to the argo pipeline yaml before uploading to KFP server. This feel... | 2021-02-20T09:54:36 | 2022-04-18T17:27:45 | 2022-04-18T17:27:45 | NONE | null | # Argo Daemon Containers
I've looked through as many docs I could find and determined that Argo pipelines support daemon containers that suit my purposes pretty well (spinning up database server to use as a cache for a pipeline).
# Question:
1. Are there any examples of using daemon containers with KFP SDK in py... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5154 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5154/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5154/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5154/events | https://github.com/kubeflow/pipelines/issues/5154 | 812,544,721 | MDU6SXNzdWU4MTI1NDQ3MjE= | 5,154 | [Testing] periodic functional test failing frequently 2.20 | {
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"This wasn't notified, because after migration to gcp oss prow, I haven't set up testgrid and notification, that will be the last step during migration in https://github.com/kubernetes/test-infra/issues/14343",
"The logs showed that the periodic functional test failed because it encountered 403 error when creatin... | 2021-02-20T07:50:15 | 2021-02-25T02:35:29 | 2021-02-25T02:35:28 | CONTRIBUTOR | null | https://oss-prow.knative.dev/?repo=kubeflow%2Fpipelines
/assign @capri-xiyue | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5152 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5152/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5152/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5152/events | https://github.com/kubeflow/pipelines/issues/5152 | 811,948,463 | MDU6SXNzdWU4MTE5NDg0NjM= | 5,152 | [Testing] Postsubmit failing 2021 Feb 19 | {
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"Figured out some previous failures were because of test workflow timeout, it timeouts at 1 hour, but now it's exceeded:\r\n> [test-timing] It took 60m35.255s.\r\n\r\nWe need to increase timeout to make it stabler.\r\n\r\nSome recent failures was because of GKE instability.",
"Increased integration test timeout.\... | 2021-02-19T11:33:58 | 2021-02-20T01:11:02 | 2021-02-20T01:11:02 | CONTRIBUTOR | null | example: https://oss-prow.knative.dev/view/gs/oss-prow/logs/kubeflow-pipeline-postsubmit-integration-test/1362660888636559360
it's been failing for a while since 1.4.0 release. | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5151 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5151/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5151/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5151/events | https://github.com/kubeflow/pipelines/issues/5151 | 811,765,211 | MDU6SXNzdWU4MTE3NjUyMTE= | 5,151 | Default Notebook images cannot install KFP due to enum34 | {
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"Additional info:\r\nenum34 is installed by jupyter-http-over-ws==0.0.7. The latest version, 0.0.8, has added restrictions in setup.py to prevent installing enum34 for python3.4+. A brute force fix would be changing the pip installs in the image to the following:\r\n\r\n``RUN pip3 uninstall -y enum34 jupyter-http-o... | 2021-02-19T07:10:44 | 2021-07-04T07:24:22 | 2021-07-04T07:24:22 | NONE | null | ### What steps did you take:
[A clear and concise description of what the bug is.]
I ran "pip install kfp" in the default notebook server image gcr.io/kubeflow-images-public/tensorflow-2.1.0-notebook-cpu:1.0.0.
### What happened:
...
ERROR: Command errored out with exit status 1:
command: /usr/bin/python3 /... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5214 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5214/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5214/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5214/events | https://github.com/kubeflow/pipelines/issues/5214 | 818,615,254 | MDU6SXNzdWU4MTg2MTUyNTQ= | 5,214 | 'kubeflow-pipelines-profile-controller' fails to deploy pods on profile creation when ResourceQuota is set in the profile. | {
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"This would be more like a KFP-specific issue\r\n\r\n/cc @Bobgy \r\n\r\nCan you help transfer the issue to kubeflow/pipelines?",
"Thanks @henrysecond1! That makes sense adding some default value there.\r\nManifests is currently migrating to kubeflow/pipelines repo. Would you want to open a PR after that?",
"Sur... | 2021-02-18T16:27:26 | 2021-03-13T03:26:47 | 2021-03-13T03:26:47 | CONTRIBUTOR | null | In multi-user mode, it seems like `kubeflow-pipelines-profile-controller` deploy below pods on Kubeflow profile creation.
- `ml-pipeline-ui-artifact`
- `ml-pipeline-visualizationserver`
When `ResourceQuota` is set in the profile, `kubeflow-pipelines-profile-controller` fails to deploy `ml-pipeline-ui-artifact` a... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5148 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5148/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5148/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5148/events | https://github.com/kubeflow/pipelines/issues/5148 | 811,093,738 | MDU6SXNzdWU4MTEwOTM3Mzg= | 5,148 | [FR] Default resource requirement/limits for the KFP UI and system services | {
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"Got some help from Sid Palas:\r\n\r\n```\r\nA couple of example request settings:\r\nml-pipeline (api server)\r\n requests:\r\n cpu: '2'\r\n memory: 4Gi\r\nml-pipeline-ui\r\n requests:\r\n cpu: 10m\r\n memory: 70Mi\r\nworkflow-controller (argo)\r\n requests:... | 2021-02-18T13:21:06 | 2021-04-01T03:52:15 | 2021-04-01T03:52:15 | CONTRIBUTOR | null | UPDATE: at the end, we decided to only add resource requirements, see discussion in https://github.com/kubeflow/pipelines/issues/5236#issuecomment-790301148
It's desirable to provide a set of default resource requirement & limits for KFP UI & system services, to make sure their QoS is `Guaranteed` by default.
htt... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5147 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5147/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5147/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5147/events | https://github.com/kubeflow/pipelines/issues/5147 | 811,003,688 | MDU6SXNzdWU4MTEwMDM2ODg= | 5,147 | build_image_from_working_dir Kubernetes job creation failed. | {
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"Hi @Adedolapo-Akin , looks like your KFP is not deployed in kubeflow namespace.\r\nYou can configure the namespace when using build_image_from_working_dir: https://kubeflow-pipelines.readthedocs.io/en/stable/source/kfp.containers.html#kfp.containers.build_image_from_working_dir"
] | 2021-02-18T11:15:37 | 2021-03-12T01:11:19 | 2021-03-12T01:11:19 | NONE | null | ### What steps did you take:
kfp v. 1.4.0
I'm trying build_image_from_working_dir() as per https://github.com/kubeflow/pipelines/blob/master/samples/core/container_build/container_build.ipynb, from an AI Platform notebook.
### What happened:
code
# Building and pushing new container image
image_with_packa... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5145 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5145/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5145/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5145/events | https://github.com/kubeflow/pipelines/issues/5145 | 810,806,090 | MDU6SXNzdWU4MTA4MDYwOTA= | 5,145 | HTTP response body: OpenID Connect token expired: JWT has expired | {
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"Duplicate of https://github.com/kubeflow/pipelines/issues/4321"
] | 2021-02-18T06:34:00 | 2021-03-12T01:07:00 | 2021-03-12T01:07:00 | NONE | null | ### What steps did you take:
1. gcloud auth activate-service-account account --key-file=...
2. copy credentials.json ~/.config/kfp/
3. Client is a singleton: kfp.Client(host=KUBEFLOW_AUTHORIZATION.HOST,
client_id=KUBEFLOW_AUTHORIZATION.CLIENT_ID,
... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5139 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5139/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5139/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5139/events | https://github.com/kubeflow/pipelines/issues/5139 | 809,598,565 | MDU6SXNzdWU4MDk1OTg1NjU= | 5,139 | Building component from Python function producing PendingDeprecationWarning | {
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"In the documentation [here](https://www.kubeflow.org/docs/pipelines/sdk/python-function-components/) I think you can find the information you are looking for. It also points to some examples that should help guide you in the right direction. Let me know if you still have some issues. ",
"I've written similar cod... | 2021-02-16T19:47:14 | 2021-04-02T01:00:24 | 2021-04-02T01:00:24 | CONTRIBUTOR | null | ### What happened:
I have been using the below ContainerOp in a pipeline for unit tests and with `kfp>1.1.0` I started getting `PendingDeprecationWarning` while Compiling the pipeline using ContainerOp.
```python3
@pytest.fixture
def add_op() -> ContainerOp:
def add_ints(a: int, b: int) -> int:
retu... | {
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"Thank you for the proposal! I'd love to see it getting it upstreamed too. It's a common request in #4440.",
"Hello!\r\n\r\nI'll provide an update here as I'll be pushing a PR covering the backend part very soon.\r\n\r\nAs mentioned in the first comment, we are adding a new authentication method: authentication u... | 2021-02-15T11:09:18 | 2023-03-06T19:27:10 | null | CONTRIBUTOR | null | ### Problem Statement
Clients in various namespaces (e.g., Notebooks) need to access the Pipelines API. However, there is currently no way for these clients to authenticate to the Pipelines API:
https://github.com/kubeflow/pipelines/issues/4440
https://github.com/kubeflow/pipelines/issues/4733
In-cluster clients ... | {
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