kubeflow/pipelines 2.2.0

Version 2.2.0

on GitHub

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

What's Changed

• feat(components): Report TensorBoard metrics for preview.llm.rlhf_pipeline in real time by @copybara-service in #10595
• feat(kubernetes_platform): Update kubernetes_platform go package to include generic ephemerl volume by @abaland in #10602
• fix(metadata envoy): upgrade envoy and config from 1.12 to 1.27 by @freefood89 in #10589
• fix(components): Remove the unused resolve_data_paths from function_based by @copybara-service in #10606
• chore: Add Question issue template by @rimolive in #10557
• feat(kubernetes_platform): Update kubernetes_platform go package to include node affinities and pod (anti)affinities by @cjidboon94 in #10583
• chore(components): Add test machine spec support to preview.llm pipelines by @copybara-service in #10616
• fix(components): Ensure preview.llm.rlhf_pipeline runs if no tensorboard_id is provided by @copybara-service in #10626
• fix(components): Remove the unused functions from function_based by @copybara-service in #10613
• feat(components): Add model name preprocess component; Use publisher model if user uploaded model is non-tuned by @copybara-service in #10620
• feat(components): add task_type as a parameter to rlaif by @copybara-service in #10607
• feat(components): AutoSxS GA pending release by @copybara-service in #10628
• fix(components): Update service account comment by @copybara-service in #10636
• chore(components): GCPC 2.12.0 Release by @copybara-service in #10635
• fix(samples): Fix the loop_output.py example to handle the new parallel loop type requirement by @Tomcli in #10637
• feat(components): Added support for text-bison@002 to preview.llm.rlhf_pipeline by @copybara-service in #10641
• chore(components): GCPC 2.13.0 Release by @copybara-service in #10644
• fix(components): Make AutoSxS autorater_prompt_parameters required by @copybara-service in #10621
• docs(components): internal by @copybara-service in #10649
• chore(components): Update kserve component to v0.12.0 by @Tomcli in #10652
• fix(backend): Update backend common code and integration tests with updated API Service Params by @gmfrasca in #10640
• fix(Backend + SDK): Add missing optional field to SecretAsVolume and … by @revit13 in #10550
• chore(manifests): refactor manifests for kustomize5 compatibility. Part of #10053 by @rawc0der in #10087
• fix(components): Fix model eval import error in text generation/classification eval pipeline by @copybara-service in #10655
• chore(components): GCPC 2.13.1 Release by @copybara-service in #10666
• chore(deps): bump follow-redirects from 1.6.1 to 1.15.6 in /frontend by @dependabot in #10575
• chore(deps): bump pillow from 10.0.1 to 10.3.0 in /backend/src/apiserver/visualization by @dependabot in #10658
• fix(components): Remove the unused generate_default_instruction and resolve_upload_location from function_based by @copybara-service in #10638
• chore(deps): bump express from 4.18.2 to 4.19.2 in /frontend by @dependabot in #10639
• chore: Update argo images to 3.4.16 by @chensun in #10618
• feat(components): Use larger base reward model when tuning text and chat variants of bison@001 with the preview.llm.rlhf_pipeline by @copybara-service in #10663
• chore(deps): bump follow-redirects from 1.5.10 to 1.15.6 in /frontend/server by @dependabot in #10574
• chore(sample): add note about secret needing to be pre-created by @gregsheremeta in #10659
• Chore(components): Clean up old ibm components by @Tomcli in #10680
• chore(components): Update AutoSxS and RLHF image tags by @copybara-service in #10683
• feat(sdk+backend): Add support for generic ephemeral volume by @abaland in #10605
• feat(components): Use larger base reward model when tuning t5-xxl with the preview.llm.rlhf_pipeline by @copybara-service in #10665
• chore(backend): Promote @rimolive as the backend reviewer by @Tomcli in #10689
• chore(sdk): release kfp-kubernetes 1.2.0 by @connor-mccarthy in #10692
• chore(sdk): make kfp-kubernetes release instructions public by @connor-mccarthy in #10693
• chore(kfp-kubernetes): change type of affinity weight to int32 by @cjidboon94 in #10671
• fix(components): Fix image version parameter in rl pipelines by @copybara-service in #10698
• docs(components): internal by @copybara-service in #10694
• feat(backend): Merge kfp-tekton backend code by @rimolive in #10678
• feat(backend): Upgrade argo to v3.4.16 by @gmfrasca in #10568
• feat(backend): add namespace & prefix scoped credentials to kfp-launcher config for object store paths by @HumairAK in #10625
• chore(deps): bump sqlparse from 0.4.4 to 0.5.0 in /backend/src/apiserver/visualization by @dependabot in #10700
• feat(components): add resolve_reference_model_metadata to rlhf_preprocessor component by @copybara-service in #10612
• feat(components): Move AutoSxS pipeline to v1 directory by @copybara-service in #10701
• feat(components): add resolve_machine_spec and resolve_refined_image_uri to rlhf_preprocessor component by @copybara-service in #10608
• fix(components): remove default prediction column names in evaluation classification component to fix incorrect column names for bigquery data source by @copybara-service in #10708
• feat(components): Introduce placeholders: SERVICE_ACCOUNT_PLACEHOLDER, NETWORK_PLACEHOLDER, PERSISTENT_RESOURCE_ID_PLACEHOLDER and ENCYRPTION_SPEC_KMS_KEY_NAME_PLACEHOLDER. In addition, use PERSISTENT_RESOURCE_ID_PLACEHOLDER as the default value of persistent_resource_id for CustomTrainingJobOp and create_custom_training_job_op_from_component. With this change, custom job created without explicitly setting persistent_resource_id will inherit job level persistent_resource_id, if Persistent Resource is set as job level runtime by @copybara-service in #10650
• chore: Add kfp-tekton integration tests and manifests by @rimolive in #10702
• No public description by @copybara-service in #10726
• chore(components): Drop GCPC Python 3.7 by @copybara-service in #10730
• feat(components): use rlhf_preprocessor to replace the current value_exists call in rlhf by @copybara-service in #10584
• chore(components): Drop support for Python 3.7 in GCPC by @copybara-service in #10735
• feat(components): internal by @copybara-service in #10707
• feat(components): Expand regions supported by preview.llm.rlhf_pipeline by @copybara-service in #10710
• chore(components): Update AutoSxS and RLHF image tags by @copybara-service in #10749
• chore(components): Change the warning for Python 3.8 by @copybara-service in #10755
• feat(components): migrate function_based resolve_num_microbatches to rlhf_preprocessor component by @copybara-service in #10604
• chore(components): GCPC 2.14.0 Release by @copybara-service in #10754
• feat(components): migrate function_based convert_to_delimited_string to rlhf_preprocessor component by @copybara-service in #10600
• feat(components): Move ModelImportEvaluationOp component to preview namespace by @copybara-service in #10712
• chore(components): Update AutoSxS and RLHF image tags by @copybara-service in #10763
• feat(components): migrate function_based resolve_regional_endpoint to rlhf_preprocessor component by @copybara-service in #10603
• chore(backend): update kfp launcher and driver images by @chensun in #10733

New Contributors

• @freefood89 made their first contribution in #10589
• @cjidboon94 made their first contribution in #10583
• @gmfrasca made their first contribution in #10640
• @rawc0der made their first contribution in #10087
• @gregsheremeta made their first contribution in #10659

Full Changelog: 2.1.0...2.2.0