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SDK/DSL/Compiler - Fixed handling of empty pipeline name #1009

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Ark-kun
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@Ark-kun Ark-kun commented Mar 20, 2019

Fixes #825


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@Ark-kun Ark-kun changed the title SDK/DSL/Compileer - Fixed handling of empty pipeline name SDK/DSL/Compiler - Fixed handling of empty pipeline name Mar 20, 2019
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Ark-kun commented Mar 21, 2019

/approve

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[APPROVALNOTIFIER] This PR is APPROVED

This pull-request has been approved by: Ark-kun

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/lgtm

@k8s-ci-robot k8s-ci-robot merged commit fac06e9 into kubeflow:master Mar 21, 2019
@Ark-kun Ark-kun deleted the SDK/DSL/Compileer---Fixed-handling-empty-pipeline-name branch March 29, 2019 21:44
Linchin pushed a commit to Linchin/pipelines that referenced this pull request Apr 11, 2023
magdalenakuhn17 pushed a commit to magdalenakuhn17/pipelines that referenced this pull request Oct 22, 2023
* trained model api

* remove frameworks' version information
magdalenakuhn17 pushed a commit to magdalenakuhn17/pipelines that referenced this pull request Oct 22, 2023
* Trained model api (kubeflow#1009)

* trained model api

* remove frameworks' version information

trainedmodel related code

add groupversion_info

generate deepcopy

add v1beta1 serving api

remove InferenceService depedency

fix optional comment

rename MultiModelConfigMapName to ModelConfigMapName and rename
tainedmodel to tm

rename multiModelConfigMapName to modelConfigName

initialize trainedmodel controller

rename multimodelconfig pkg to modelconfig

refactor shardingstrategy

refactor strategy

generate crd

* rebase master

* update modelconfig when reconciling TrainedModel

* create an instance of modelconfig reconciler in trainedmodel controller's loop otherwise the reconciler is a nil pointer

* add unit test

* rename

* rename

* fix unit tests

* revert changes for v1alpha2/openapi_generated.go

* remove config/crd/serving.kubeflow.org_inferencerouters.yaml

* rename MultiModelConfigVolumeName to ModelConfigVolumeName

* rename trainedmodel's predictorModel to inference

* inline error check

* fix log

* annotate error

* remove unnecessary error check

* rename package

* remove unit test for delete as it does not trigger a delete event

* refactor sharding strategy

* rename configmap to modelConfig

* rename ConfigMapReconciler to ModelConfigReconciler

* fmt

* pass modelconfig reconciler to TrainedModelReconciler as a field

* rename TrainedModelSpec.Inference to TrainedModelSpec.model

* change Result{Requeue: true, RequeueAfter: 10 * time.Second} to Result{} since the framework will requeue when err is not nil

* fix plural name

* fix description

* fix unit test name

* add argo retry

* changne retry to 3

* add comma

* revert makefile so it only deploys v1alpha1

* register v1beta1 scheme

* fix trainedmodel rbac

* fix trainedmodel crd per kubernetes-retired/cluster-registry#255

* fix trainedmodel crd from makefile

* run make manifests

* clean up

* fix comment

* install kfserving sdk to user home folder
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4 participants