chore(deps): update dependency kubeflow/pipelines to v1.8.22

[renovate]

This PR contains the following updates:

Package	Update	Change
kubeflow/pipelines	minor	1.6.0 -> 1.8.22

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⚠ Dependency Lookup Warnings ⚠

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Release Notes

kubeflow/pipelines

v1.8.22: KFP SDK v1.8.22

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Release of the KFP SDK only.

To install the KFP SDK:

pip install kfp==1.8.22

For changelog, see release notes.

v1.8.21: KFP SDK v1.8.21

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Release of the KFP SDK only.

To install the KFP SDK:

pip install kfp==1.8.21

For changelog, see release notes.

v1.8.20: KFP SDK v1.8.20

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Release of the KFP SDK only.

To install the KFP SDK:

pip install kfp==1.8.20

For changelog, see release notes.

v1.8.19: KFP SDK v1.8.19

Compare Source

Release of the KFP SDK only.

To install the KFP SDK:

pip install kfp==1.8.19

For changelog, see release notes.

v1.8.18: KFP SDK v1.8.18

Compare Source

Release of the KFP SDK only.

To install the KFP SDK:

pip install kfp==1.8.18

For changelog, see release notes.

v1.8.17: KFP SDK v1.8.17

Compare Source

Release of the KFP SDK only.

To install the KFP SDK:

pip install kfp==1.8.17

For changelog, see release notes.

v1.8.16: KFP SDK v1.8.16

Compare Source

Release of the KFP SDK only.

To install the KFP SDK:

pip install kfp==1.8.16

For changelog, see release notes.

v1.8.15: KFP SDK v1.8.15

Compare Source

Release of the KFP SDK only.

To install the KFP SDK:

pip install kfp==1.8.15

For changelog, see release notes.

v1.8.14: KFP SDK v1.8.14

Compare Source

Release of the KFP SDK only.

To install the KFP SDK:

pip install kfp==1.8.14

For changelog, see release notes.

v1.8.13: KFP SDK v1.8.13

Compare Source

Release of the KFP SDK only.

To install the KFP SDK:

pip install kfp==1.8.13

For changelog, see release notes.

v1.8.5: Backend v1.8.5

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To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here or via UI here

Install python SDK (python 3.7 above) by running:

python3 -m pip install kfp kfp-server-api --upgrade

See the Change Log

v1.8.4: Backend v1.8.4

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To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here or via UI here

Install python SDK (python 3.7 above) by running:

python3 -m pip install kfp kfp-server-api --upgrade

See the Change Log

v1.8.3: Backend v1.8.3

Compare Source

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here or via UI here

Install python SDK (python 3.7 above) by running:

python3 -m pip install kfp kfp-server-api --upgrade

See the Change Log

v1.8.2: Backend v1.8.2

Compare Source

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here or via UI here

Install python SDK (python 3.7 above) by running:

python3 -m pip install kfp kfp-server-api --upgrade

See the Change Log

v1.8.1

Compare Source

Bug Fixes

• backend: Read env var for default service account in multi-user mode. Fix #​7336 (#​7337) (f1aa28d)

v1.8.0

Compare Source

⚠ BREAKING CHANGES

• Use Argo Emissary Executor instead of Docker by default. Partial #​5718 (#​7137)
• sdk.v2: Block task dependency referencing tasks inside a sibling condition or loop group. (#​7050)
• sdk: Deprecate V2 compatible mode in v1 compiler (#​6958)
• sdk.v2: Merge v2 experimental change back to v2 namespace (#​6890)

Features

• Use Argo Emissary Executor instead of Docker by default. Partial #​5718 (#​7137) (bea751c)
• backend: Upgrade go client for MLMD to 1.5.0. Partial #​7029 (#​7101) (ba59a64)
• backend: Upgrade MLMD to 1.4.0 (#​6910) (b3d15cd)
• backend: Upgrade MLMD to 1.5.0 (#​6996) (7157764)
• chore: add labels and error to the gcp_resources.proto (3da295e)
• component: add BQ export model component (28c666f)
• component: add code for creating and monitoring bq job (9cb0e71)
• component: add generic custom training job component (a74eba1)
• component: adding bq create model component (fef8c03)
• component: adding bq evaluate model component (27d2ab5)
• component: adding bq predict model component (90e759c)
• component: adding component yaml and tests for bq query job component (accacf6)
• component: fix typo in bp component (9062749)
• component: rename bq query job remote runner to bq remote runner for more bq components. (57cc5c3)
• component: rename VertexBatchPredictJob -> VertexBatchPredictionJob (#​6757) (ca34902)
• component/google-cloud: Add component yaml for Dataflow python component. (5902597)
• component/google-cloud: Add sample notebook for HP Tuning Job (98677b2)
• component/google-cloud: Add sample notebook for HP Tuning Job (#​6729) (16c8928)
• components: Add a KServe component (#​6881) (72185ff)
• components: Add GetWorkerPoolSpecsOp and update sample notebook to include training new model from tuning results (30308ea)
• components: Add IsMetricBeyondThresholdOp util function for HP tuning job; add tests for all util components (37b3397)
• components: Add util components for getting best trial/hyperparameters; delete HP Tuning Job lightweight python version to avoid potential confusion (a62bdbe)
• components: not wait for dataflow job to finish in python component (eeb0b9c)
• components/google-cloud: Accept UnmanagedContainerModel artifact in Batch Prediction component (e39eed1)
• components/google-cloud: Add distributed training sample for custom job wrapper (#​6724) (ecbbdf4)
• components/google-cloud: Commit experimental Vertex Evaluation component. (4cf9e5b)
• components/google-cloud: Update ground_truth_column and update public container for Vertex Evaluation component. (b892888)
• frontend: Allow setting s3 region for artifacts (#​6409) (af51bd1)
• frontend: Disable delete button if no pipeline version is not selected (#​6973) (6de35db)
• frontend: RunDetail -> Detail tab for KFPv2. Fix #​6710 (#​6717) (40df465)
• frontend: SubDAG styling for KFPv2. Fix #​6419 (#​6744) (31ff9ad)
• frontend: Update unknown and invalid execution node style (#​6795) (2ffa212)
• frontend: Upgrade MLMD client to 1.5.0. Partial #​7029 (#​7102) (ef8e092)
• frontend: Upload V2 Pipelines. Fix PipelineSpec editor prettified view. (#​6909) (feebc6b)
• frontend: V2 create run from UI (#​7001) (a1bef77)
• frontend: View pipeline from run ID in KFPv2. Fix #​6758 (#​6759) (b7a455d)
• google-cloud: Add 'generate_feature_attribution' and executor_output to Evaluation component inputs. (25508b6)
• google-cloud: Update Evaluation Component to let the dataflow service account be an optional input (10df58c)
• manifests: Add liveness Probe for cloud sql proxy. Fix #​4973 (#​6904) (3bdf8c0)
• sdk: Add filters to python client. (#​6748) (37d3234)
• sdk: add load_component_from_* (#​6822) (f1bb852)
• sdk: Add load_component_from_spec. Fixes #​5708 #​3748 (#​6690) (3e6c776)
• sdk: add metadata field for importer (#​7112) (5a29d7f)
• sdk: add set_env_variable for Pipeline task (#​6919) (cd20373)
• sdk: Add version description optionally to Py SDK. Part of #​6256 (#​6472) (5dfae1d)
• sdk: Deprecate V2 compatible mode in v1 compiler (#​6958) (8aee621)
• sdk: Extend SDK client with disable/delete run methods (#​6754) (ba0bb60)
• sdk: ImporterSpec v2 (#​6917) (c4d8dfd)
• sdk: Improve CLI experience for archiving experiments, managing recurring runs and listing resources (#​6934) (ddbfcde)
• sdk: Pipeline task settings (#​6746) (78dfac7)
• sdk: Use google.protobuf.Value in v2 for passing parameters. (#​6804) (0be57c3)
• sdk.v2: Implement v2 experimental compiler. (#​6803) (02b96f0)
• v2: control flow - conditional (#​7088) (048218b)
• adds secrets to ml-pipeline-ui-artifact deployments in user profiles (#​5864) (c6c826d)
• sdk.v2: Merge v2 experimental change back to v2 namespace (#​6890) (7921946)
• v2: iterator and sub-DAG basic support (#​6985) (713558c)
• allow the default-editor to edit argo workflows and fix bug #​6649 (#​6622) (83ce21f)
• sdk.v2: Implement experimental [@component](https://togithub.com/component) component (#​6825) (ea2e5be)
• v2: V2 create run api (#​6689) (2e94575)
• upgrade argo to v3.1.14 (#​6809) (4cf34e2)
• api: Update pipeline_spec.proto to add pipeline_job_uuid and pipeline_job_name in PipelineTaskFinalStatus (#​6557) (6252b09)
• api: Updates pipeline_spec.proto to use google.protobuf.Value (#​6402) (b8c450f)
• backend: Adding prometheus annotations for ml-pipeline service (#​6572) (7875b68)
• backend: support uploading v2 pipeline spec. Fixes #​6169 (#​6513) (49de8a9)
• component: add new artifact types for gcp resources (#​6627) (286a495)
• component: use resource name for input artifact (#​6698) (89e4c1c)
• components: Add and update existing documentations for GCPC components (#​6525) (99d1823)
• components: Add model upload container component (#​6609) (8a363ef)
• components: Add static YAML for batch predict, create endpoint, upload and deploy model (#​6466) (66a1840)
• components: Adds Notebooks Executor API in the experimental components (#​6630) (cd37c2c)
• components: Copy the GCP components to contrib folder (#​6421) (c783705)
• components: Implement HyperparameterTuningJob component (#​6235) (d9e463f)
• components: move dataflow/bq component to google-cloud (#​6422) (d864db1)
• components: Refresh the create endpoint component to follow container interface (#​6647) (8b67505)
• components: Update batch prediction component (#​6663) (fc40e0a)
• components: Update model deploy and model export components (#​6654) (bc19d92)
• components/google-cloud: Add a new forecasting training component that uses the experimental flags (#​6591) (77585f0)
• components/google-cloud: add a new python based component that connects the forecasting preprocessing component with the training component (#​6568) (cd4f191)
• components/google-cloud: add dataflow wait component (#​6484) (166c71c)
• components/google-cloud: Add description for prep data for train component. (#​6597) (6ed4899)
• components/google-cloud: add gcp resources proto (#​6478) (572643f)
• components/google-cloud: add preprocessing_bigquery_dataset to the inputs of preprocessing component (#​6461) (c127996)
• components/google-cloud: add README.md file for forecasting components. (#​6452) (a72c8b7)
• components/google-cloud: Add support for labels in custom_job wrapper (#​6579) (400ed0c)
• components/google-cloud: Create remote runner for batch prediction jobs (#​6580) (be47be1)
• components/google-cloud: Expose all Custom Job parameters via Custom Job wrapper (#​6539) (680e917)
• components/google-cloud: Move flex template python files from piper (#​6617) (7c939bd)
• components/google-cloud: Support Proto Plus serialization (#​6464) (610a1f2)
• components/google-cloud: Write proper GCP_RESOURCE parameter to the custom_job output (#​6558) (83ecb97)
• deployment: update and secure metacontroller (#​6537) (5c5f210)
• frontend: Add styling for Artifact Node. Partial #​6280 (#​6418) (964a62e)
• frontend: Add to UI pipeline version description. Part of #​6256 (#​6393) (19b3de4)
• frontend: Create an Expand button to open SubDAG. Partial #​6301 (#​6490) (a358124)
• frontend: Execution,Artifact side panel for KFPv2 Run Detail. Fix #​6740 Fix #​6739 Partial #​6676 (#​6741) (d2c234a)
• frontend: Runtime DAG in RunDetailsV2. Fix #​6673 (#​6694) (74c7773)
• frontend: Show hyperlink from Execution to Pipeline Run detail page and Original Execution cache. Fix #​5977 (#​6556) (3ba2a18)
• frontend: Show Pipeline Spec in Pipeline Detail page. Fix #​6279 (#​6524) (5c2b529)
• frontend: SidePanel for static pipeline template. Fix #​6399, Fix #​6610, Fix #​6611 (#​6613) (5c89d51)
• frontend: Stateful v2 Node styling. Fix #​6280 (#​6519) (f6ee12a)
• frontend: SubDag Node and mock samples. Partial #​6419. Fix #​6302. Fix #​6398 (#​6420) (d03277f)
• frontend: Support Pipeline summary card and pulling version template for V2. Fix #​6633 (#​6634) (e0f4f7c)
• frontend: V2 Run Details - Toolbar, Page title, Experiments. Fix #​6708, partial #​6707 (#​6709) (a441369)
• sdk: Add BaseModel to component_spec data classes (#​6372) (65174cd)
• sdk: Add IfPresentPlaceholder and ConcatPlaceholder for dsl v2 (#​6639) (96a2609)
• sdk: add v2 placeholder variables (#​6693) (a2cdf74)
• sdk: ComponentStore - URI template support. Fixes #​4708 (#​5434) (daccc5a)
• sdk: Configure pipeline run service account. Fixes #​6424 (#​6455) (139acc8)
• sdk: detail option to kfp run get. Fixes #​6315 (#​6404) (728915f)
• sdk: Enable containerizing v2 Python components (#​6417) (fe66377)
• sdk: Enable re-use of PVC with VolumeOp (#​6582) (24331a9)
• sdk: load v1 and v2 component spec (#​6497) (8100c5e)
• sdk: Local runner supports additional docker options. Fixes #​6598 (#​6599) (36e627d)
• sdk: Update cloudpickle to 2.0.0 (fixes #​6699) (#​6703) (bcb0d96)
• sdk.v2: Define PipelineParameterChannel and PipelineArtifactChannel. (#​6470) (2176fee)
• sdk.v2: Support set_display_name in v2. (#​6471) (cfefc6d)
• sdk.v2: Support container environment variable in v2. (#​6515) (29226e9)
• v2: added importer support (#​6415) (4438929)
• v2: Support v2 caching (#​6569) (951b968)
• upgrade MLMD to 1.2.0. Fix #​6436 (#​6437) (e035a88)

Bug Fixes

• backend: Decompress workflow node statuses if necessary. Fixes #​6547 (#​6548) (ccc5dc9)
• backend: Fix connection lifetime default and variable names. (#​6509) (e58aff7)
• backend: Fix v1 caching to read Argo template from container env. Fixes #​7266 (#​7267) (1a0071b)
• backend: make cache-deployer generate CSR using kubelet-serving signerName (#​7273) (733a516)
• backend: missing permissions for scheduled workflows (#​7155) (3d63b9b)
• backend: Update composite-controller.yaml to fix https://github.com/kubeflow/manifests/issues/2133 (#​7311) (761873c)
• backend: Updates nodeSelector, and Affinity Paths in cache-server. Fixes #​6623 (#​6656) (773e965)
• components: move components to contrib/ folder (#​6438) (7d6133b)
• components: Update all GCPC components naming to be consistent (#​6449) (163cfa9)
• components/google-cloud: Custom Job resource proto output is incorrect (#​6593) (6e32f42)
• components/google-cloud: Change run_as_vertex_ai_custom_job to custom_training_job_op (#​6616) (3c7d419)
• components/google-cloud: Correct custom job default values (#​6638) (ab58885)
• components/google-cloud: Fix custom job wrapper error on empty input spec. (#​6653) (ed80933)
• components/google-cloud: Fix Dataflow component sample. (d7c5bae)
• components/google-cloud: Fix Dataflow error log reporting. (927d2a9)
• components/google-cloud: Fix Help string for dataflow python_module_path (9828007)
• components/google-cloud: Fix the default value of preprocessing_bigquery_dataset (#​6481) (3a88429)
• components/google-cloud: Fix the keyword argument 'project_id' to 'project' after the yaml upd… (#​6463) (e45782e)
• components/google-cloud: Move the input param details out of the pipeline definition. (#​6459) (c41e4a1)
• components/google-cloud: Pipeline parameters with type Int cannot be passed to aiplatform components (#​6607) (86828f2)
• components/google-cloud: Remove executor_input (#​6665) (d80f1dd)
• components/google-cloud: Remove experimental modules from init (#​6443) (a165cc6)
• components/google-cloud: Remove googletests library from unit tests to make sure they can run on github presubmit. (7ea9454)
• components/google-cloud: Remove special handing for "=" in remote_runner. (a66648d)
• components/google-cloud: REVERT - remove custom python package training op (#​6688) (c5e7861)
• components/google-cloud: Set executor_input to empty for custom job (#​6677) (4906ab2)
• components/google-cloud: Stage requirements_file and setup_file locally for Dataflow component. (73a0551)
• components/google-cloud: Switch to v2 types_util (#​6453) (27b3511)
• deployment: the viewer controller does not work because of missing permissions (#​6892) (8f809c5)
• frontend: Batch upgrade for fundamental dependency blocks. (Node, CRA, tailwind and more) Fix #​7148 (#​7144) (48e1e29)
• frontend: Fix the styling for custom icons on sideNav (#​6440) (aec5792)
• frontend: fixes link to Vertex AI workbench in GettingStarted page. (#​7227) (5a89f83)
• frontend: Fulfill name/state/workspace for MLMD Executions and Artifacts list. (#​6989) (181dd92)
• manifests: Fix typo in default executor name (#​7159) (4d660f8)
• manifests: Remove redundant secret value in profile controller (#​7087) (af9d058)
• manifests: Upgrade kpt to 1.0.0-beta.6. Fix #​5368 (#​6595) (4abc4fd)
• manifests: Upgrade rbac to v1 for multi-user mode (#​7097) (632e71e)
• manifests: Upgrade third_party CRDs to v1 for k8s 1.22. Partial #​6014 (#​7098) (f3a1b65)
• manifests: Use number for cloudsql liveness port (#​7252) (3953b59)
• samples: Add kfp_package_path to importer sample test. (#​6507) (236f67e)
• samples: Use TFX library version for parameterized_tfx_oss. Fix #​6974 (#​6993) (3cfff3d)
• sdk: Add missing retry policy. (#​6808) (ec4ab2d)
• sdk: change otherwise to else in yaml (#​6952) (4484ccd)
• sdk: fix bug in checking values in _param_values. Fixes #​6799 (#​6965) (a71fce0)
• sdk: fix cloud scheduler's job name (#​6844) (b2414f3)
• sdk: fix input/outputspec and positional arguments (#​6980) (85d7433)
• sdk: Fix invalid doc example of python_component (#​6841) (2f2ebf8)
• sdk: fix load_test (#​6978) (0842934)
• sdk: fix resource spec test (#​6979) (485a077)
• sdk: Fix type_utils (#​6719) (14b3d67)
• sdk: fixes the specified 'mlpipeline-ui-metadata','mlpipeline-metrics' path is overrided by default value (#​6796) (41275b4)
• sdk: Get short name of complex input/output types to ensure we can map to appropriate de|serializer (#​6504) (a0b18eb)
• sdk: Make Artifact type be compatible with any sub-artifact types bidirectionally (#​6859) (dea0823)
• sdk: podSpecPatch bug. Fixes 6512 (#​6514) (343350a)
• sdk: refresh access token only when it expires. Fixes #​6883 (#​6941) (6d55e26)
• sdk: removed duplicate function. Fixes #​6586 (#​6594) (8b55b16)
• sdk: Require base and target images in built containers to be unique. (#​6731) (b29c906)
• sdk: sanitize op name. Fix #​6433 (#​6600) (4e89973)
• sdk: Try alternatives for obtaining pip when ensurepip does not exist in container. (#​6737) (77de39d)
• sdk: Update upper bound on kubernetes constraint in Python SDK (#​6532) (b613ca8)
• sdk: update v2 yaml format (#​6661) (5892bf9)
• sdk: visualizations and metrics do not work with data_passing_methods (#​6882) (b482ba8)
• sdk.v2: Avoid pydantic union bug (#​6957) (59dfffe)
• sdk.v2: Block task dependency referencing tasks inside a sibling condition or loop group. (#​7050) (6dfaeeb)
• sdk.v2: Component is invalid if packages_to_install empty and install_kfp_package=False (#​6527) (a52ac6d)
• sdk.v2: fix Optional type hint causing executor to ignore user inputs for parameters. (#​6541) (7626abf)
• sdk.v2: Fix a couple of ParallelFor related bugs. Fixes #​6383, fixes #​6628 (#​6643) (b466f59)
• sdk.v2: fix boolean error for inputs (#​7041) (1a0bef7)
• sdk.v2: Fix bug on executor input with default value. (#​6937) (2910d10)
• sdk.v2: Fix display name support for groups (#​6832) (0f2cab9)
• sdk.v2: Fix executor getting None as value when float 0 is passed in. Fixes #​6636 (#​6682) (82ed66e)
• sdk.v2: fix function-based components not preserving the namespace of GCPC artifact types. (#​6702) (2b2e5fd)
• sdk.v2: Fix importer ignoring reimport setting, and switch to Protobuf.Value for import uri. (#​6827) (8c6843f)
• sdk.v2: Fix InputPathPlaceholder changed to InputValuePlaceholder (#​6794) (61fea6b)
• sdk.v2: Fix missing experimental modules in setup.py (#​6817) (7768f28)
• sdk.v2: fix regression on nested loops (#​6990) (c1b6715)
• sdk.v2: Fix regression on optional inputs (#​6905) (9ee4534)
• sdk.v2: Fix the issue that using dsl. prefix in component I/O type annotation breaks component at runtime. (#​6714) (073c819)
• Remove some data from model_status when the size exceeds 3000 (#​6528) (3a621fb)
• Add workaround init container to fix test infra (#​6618) (f870574)
• disable cache for v1 mode in sample test (#​6641) (0c2759d)
• the cache server in combination with kubeflow profile quotas (#​5743) (22f2693)
• sdk.v2: fix importer not taking output from upstream (#​6439) (06044dd)
• sdk.v2: Fix passing in "" to a str parameter causes the parameter to receive it as None instead (#​6533) (38e826b)
• sdk.v2: fixes broken output parameter type checking in _handle_single_return_value (#​6566) ([866dfc7](https://togithub.com/kubef

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