github kubeflow/pipelines 2.1.0
Version 2.1.0

one month ago

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): Bump image tag used by preview.llm pipelines by @copybara-service in #10295
  • feat(components): Add num_microbatches to _implementation.llm training components by @copybara-service in #10248
  • chore(sdk): remove cleanup param in local init #localexecution by @connor-mccarthy in #10293
  • feat(sdk): add local execution skeleton #localexecution by @connor-mccarthy in #10292
  • fix(components): Use llama-2-7b for the base reward model when tuning llama-2-13 with the preview.llm.rlhf_pipeline by @copybara-service in #10249
  • feat(sdk): add local task dispatcher validation and ExecutorInput construction #localexecution by @connor-mccarthy in #10298
  • test(sdk): install kfp-pipeline-spec from source in kfp sdk tests by @connor-mccarthy in #10300
  • fix(sdk): use kfp.dsl.types to replace kfp.components.types Fixes #10282 by @hsinhoyeh in #10283
  • feat(components): Enable text generation pipeline to generate row based metrics by @copybara-service in #10296
  • test(sdk): add placeholder_utils_test.py by @connor-mccarthy in #10301
  • feat(component): Migrate AutoSxS pipeline to preview and move related files to _implementation/llm directory to help Model Eval team use side by side metrics as part of their pipeline by @copybara-service in #10294
  • feat(components): Release new LLM Eval image version 0.5 by @copybara-service in #10313
  • chore(components): release GCPC 2.7.0 by @copybara-service in #10303
  • fix(components): Add autosxs_pipeline to the all variable for the preview/model_evaluation directory by @copybara-service in #10317
  • chore(components): release GCPC 2.8.0 by @copybara-service in #10316
  • feat(components): Add better docstrings for AutoSxS by @copybara-service in #10320
  • test(components): INTERNAL by @copybara-service in #10314
  • feat(sdk): add subprocess task handler #localexecution by @connor-mccarthy in #10302
  • fix(components): Use large_model_reference as model_reference_name when uploading models from preview.llm.rlhf_pipeline instead of hardcoding value as text-bison@001 by @copybara-service in #10321
  • test(sdk): add kfp-kubernetes execution tests by @connor-mccarthy in #10304
  • fix(components): Resolve unique model display name on each preview.llm.rlhf_pipeline run instead of reusing cached result by @copybara-service in #10322
  • fix(components): Upload the tuned adapter to Model Registry instead of model checkpoint from preview.llm.rlhf_pipeline by @copybara-service in #10323
  • feat(sdk): add local execution output collection #localexecution by @connor-mccarthy in #10325
  • chore(sdk): fix use of invalid escape sequence in tests by @connor-mccarthy in #10310
  • feat(sdk): add local execution logging #localexecution by @connor-mccarthy in #10326
  • chore(components): Fix argument description by @copybara-service in #10327
  • feat(backend): preserve querystring in pipeline root (fixes #10318) by @TobiasGoerke in #10319
  • feat(components): change output format to allow possible post eval by @copybara-service in #10281
  • fix(frontend): Add disableParsingRawHTML option for markdown-to-jsx component by @zijianjoy in #10315
  • feat(sdk): add DockerRunner #localexecution by @connor-mccarthy in #10328
  • feat(sdk): add special dsl.OutputPath read logic #localexecution by @connor-mccarthy in #10334
  • chore(sdk): write local execution logs to stdout #localexecution by @connor-mccarthy in #10330
  • feat(sdk): support local Container Component execution #localexecution by @connor-mccarthy in #10333
  • feat(components): Update RLHF env vars to handle empty string by @copybara-service in #10331
  • feat(components): Output errors as a separate table from Arbiter by @copybara-service in #10329
  • docs(components): Fix AutoSxS docstring formatting by @copybara-service in #10341
  • chore(components): add json_escape placeholder util by @copybara-service in #10351
  • fix(sdk): fix presentation of strings in local execution #localexecution by @connor-mccarthy in #10353
  • fix(sdk): remove redundant newline character in local DockerRunner logs #localexecution by @connor-mccarthy in #10354
  • test(sdk): improve KFP SDK local runner test safety #localexecution by @connor-mccarthy in #10336
  • feat(backend): Enable logging for KFP components by @DharmitD in #10288
  • feat(sdk): remove local execution feature flag #localexecution by @connor-mccarthy in #10355
  • fix(sdk): permit empty local execution outputs #localexecution by @connor-mccarthy in #10338
  • feat(sdk): support Concat and IfPresent placeholder in local container component execution #localexecution by @connor-mccarthy in #10348
  • test(sdk): add test for local execution of None default parameter #localexecution by @connor-mccarthy in #10339
  • chore(sdk): release KFP SDK 2.5.0 by @connor-mccarthy in #10364
  • chore(sdk): depend on protobuf 4 in kfp-pipeline-spec by @connor-mccarthy in #10305
  • docs(components): Document AutoML Tables util functions by @copybara-service in #10359
  • feat(components): Implement the feature store grounding pipeline by @copybara-service in #10332
  • feat(components): update eval pipeline documentation to clarify the required pipeline parameters by @copybara-service in #10366
  • docs(components): update BigqueryQueryJobOp docs on container args limit by @copybara-service in #10380
  • chore(components): GCPC 2.8.1 release by @copybara-service in #10381
  • feat(kubernetes_platform): Update kubernetes_platform go package to include pod labels and annotations by @Tomcli in #10357
  • chore(sdk): depend on protobuf 4 in kfp and kfp-kubernetes by @connor-mccarthy in #10307
  • feat(components): Implement new output format of inference component by @copybara-service in #10375
  • chore(components): rollback GCPC 2.8.1 release by @copybara-service in #10385
  • chore(sdk): release KFP SDK 2.6.0 by @connor-mccarthy in #10386
  • chore(components): Add v1.model.ModelGetOp components by @copybara-service in #10226
  • chore(sdk): release kfp-kubernetes 1.1.0 by @connor-mccarthy in #10387
  • chore(sdk): update kfp-kubernetes docs versions and release scripts by @connor-mccarthy in #10388
  • docs(sdk): fix kfp-kubernetes docs build error by @connor-mccarthy in #10389
  • chore(components): Sync AutoML components by @copybara-service in #10372
  • fix(components): Update base image for KFP lightweight component for VPC SC compliance by @copybara-service in #10374
  • chore: Fix metrics visualization v2 sample by @rimolive in #10399
  • docs(sdk): add kfp.local to reference docs #localexecution by @connor-mccarthy in #10395
  • chore(components): migrate GCPC to protobuf 4; require KFP>=2.6.0 by @copybara-service in #10401
  • feat(components): Support scheduling and labels in utils.build_payload by @copybara-service in #10408
  • chore(components): Sync AutoML components by @copybara-service in #10415
  • feat(components): support aliases arg in ModelUploadOp by @copybara-service in #10404
  • fix(sdk): fix string quotes by @connor-mccarthy in #10413
  • docs(components): Update AutoSxS pipeline to use "question_answering" as task name instead of "question_answer", where "question_answer" is still supported, but deprecated by @copybara-service in #10361
  • fix(components): Update base image for KFP lightweight component for VPC SC compliance by @copybara-service in #10421
  • chore(sdk): local task execution refactor + cleanup #localexecution by @connor-mccarthy in #10420
  • fix(backend): MLMD pagination on getting executions of DAG by @hellojunha in #10396
  • fix(components): Only run preview.llm.bulk_inference after tuning third-party models with RLHF by @copybara-service in #10425
  • feat(components): Update LLM Evaluation Pipelines to use text-bison@002 model by default by @copybara-service in #10428
  • chore(components): GCPC 2.9.0 Release by @copybara-service in #10432
  • chore(components): fix GCPC documentation dependencies issue by @copybara-service in #10433
  • feat(components): Use a single inference component for AutoSxS by @copybara-service in #10424
  • feat(sdk): support local pipeline execution #localexecution by @connor-mccarthy in #10423
  • fix(components): Write model resource_name to the output of training pipeline remote runner by @copybara-service in #10426
  • feat(sdk): support f-strings in local pipeline execution #localexecution by @connor-mccarthy in #10435
  • feat(sdk): support for local execution of dsl.importer #localexecution by @connor-mccarthy in #10431
  • fix(components): Update text generation pipeline input description by @copybara-service in #10434
  • feat(sdk): support local execution of pipelines in pipelines #localexecution by @connor-mccarthy in #10440
  • fix(backend): correct run field map col names by @HumairAK in #10430
  • chore(components): Create module containing AutoSxS and RLHF image tag by @copybara-service in #10445
  • fix(components): Remove row_based_metric file path field in Model Evaluation resource's metadata when row based metrics is disabled by @copybara-service in #10444
  • feat(sdk): Support dsl.ParallelFor over list of Artifacts by @KevinGrantLee in #10441
  • feat(kubernetes_platform): Update kubernetes_platform go package to include ImagePullSecrets by @JosepSampe in #10410
  • feat(kubernetes_platform): Update kubernetes_platform go package to include imagePullPolicy. by @revit13 in #10416
  • chore(components): update image tags by @copybara-service in #10455
  • fix(sdk): fixes type issues for ParallelFor. Fixes #9366 by @rickyxie0929 in #10436
  • feat(components): Add RLAIF pipeline to preview by @copybara-service in #10377
  • fix(sdk): fix bug where dsl.OneOf with multiple consumers cannot be compiled by @connor-mccarthy in #10452
  • chore(components): Use new module for looking up ReFINED and AutoSxS image tags by @copybara-service in #10454
  • feat(Backend + SDK): Update kfp backend and kubernetes sdk to support ImagePullSecrets by @JosepSampe in #10427
  • Fix(backend): fix timeout for internal server error. Fixes #10267 by @abaland in #10439
  • fix(backend): get pipeline by name is broken due to version typo, Fixes #9940 by @cybernagle in #10268
  • feat(kubernetes_platform): Update kubernetes_platform go package to include ConfigMaps as volumes and as env variables. by @roytman in #10400
  • feat(Backend + SDK): Update kfp backend and kubernetes sdk to support pod labels and annotations by @Tomcli in #10393
  • chore(components): Update AutoSxS and RLHF image tags by @copybara-service in #10472
  • feat(kubernetes_platform): Add ActiveDeadlineSeconds(timeout) to the kubernetes platform spec by @Tomcli in #10464
  • chore(components): support jinja 3 in GCPC by @copybara-service in #10479
  • test(components): Reduce sagemaker component test flakiness by @ananth102 in #10225
  • chore(sdk): release KFP SDK 2.7.0 by @connor-mccarthy in #10461
  • fix(components): Use PipelineJob location in AutoSxS components, add init file by @copybara-service in #10476
  • feat(kubernetes_platform): Add k8s FieldPath as env to the kubernetes_platform by @Tomcli in #10485
  • chore: Add Tomcli as a backend approver by @chensun in #10490
  • chore(components): Sync AutoML components by @copybara-service in #10492
  • chore(README): Update Kubeflow Pipelines on Tekton blog by @Tomcli in #10482
  • chore(components): Rename several _implementation.llm components by @copybara-service in #10474
  • feat(kubernetes_platform): Update kubernetes_platform go package to i… by @droctothorpe in #10442
  • docs(components): internal by @copybara-service in #10495
  • chore(components): bump highest support KFP SDK version in GCPC to KFP SDK 2.7.0 by @copybara-service in #10498
  • fix(backend): fixes "cannot save parameter" error message. Fixes #9678 by @hbelmiro in #10459
  • fix(rlhf): Supporting adapter only output for reward model training by @copybara-service in #10503
  • chore(components): internal by @copybara-service in #10511
  • docs(components): internal by @copybara-service in #10505
  • feat(components): Added experimental args to batch_prediction_pairwise component by @copybara-service in #10497
  • chore(components): release GCPC SDK 2.10.0 by @copybara-service in #10516
  • feat(Backend + SDK): Update kfp backend and kubernetes sdk to support tolerations by @droctothorpe in #10471
  • feat(components): Add configurable image prefix to llm utility method by @copybara-service in #10513
  • chore(components): internal change by @copybara-service in #10512
  • feat(components): Add CMEK support to preview.llm.rlhf_pipeline by @copybara-service in #10456
  • feat(Backend + SDK): Update kfp backend and kubernetes sdk to support ConfigMaps as volumes and as env variables by @roytman in #10483
  • feat(components): Release Forecasting training pipelines to V1 namespace by @copybara-service in #10523
  • fix(sdk): Prevents dsl.ParallelFor over single parameter from compiling. by @KevinGrantLee in #10494
  • fix(components): Pass tuned model checkpoint to inference pipeline after RLHF tuning by @copybara-service in #10518
  • test: Add ParallelFor compile test over single artifact. by @KevinGrantLee in #10531
  • fix(components): rename custom task calibration_score_rubric -> score_rubric by @copybara-service in #10525
  • chore(components): Switch default machine type for LLM Text Generation Eval pipeline and components to e2-standard-4 by @copybara-service in #10522
  • fix(components): Propagate location to sub-components in AutoSxS by @copybara-service in #10514
  • feat(backend + SDK): Add backend and SDK support to use Kubernetes FieldPath as env by @Tomcli in #10496
  • chore(components): Change docker image URI used by preview.llm pipelines by @copybara-service in #10536
  • fix(docs): Updated legal info due to migration from CLA to DCO by @hbelmiro in #10501
  • feat(backend + SDK): Add Backend and SDK support for timeout in pod spec by @Tomcli in #10481
  • fix(components): Return None as sliced feature attribution values for the classes which are not predicted in bp outputs by @copybara-service in #10539
  • feat(components): Add CMEK validation to preview.llm.infer_pipeline by @copybara-service in #10519
  • feat(Backend + SDK): Update kfp backend and kubernetes sdk to support ImagePullPolicy by @revit13 in #10417
  • docs(components): fix create_custom_training_job_from_component docs rendering by @copybara-service in #10541
  • feat(components): Implement the train time evaluation in reward model training. With the train time eval dataset available, the pipeline outputs the accuracy and cross entropy metrics to the log by @copybara-service in #10369
  • fix(samples): Updated samples/core to V2 by @PratyushaRavi in #9879
  • chore(components): Consolidate validation components in preview.llm.rlhf_pipeline by @copybara-service in #10543
  • feat(backend): Upgrade go version to 1.20 by @Tomcli in #10502
  • docs(components): Modify the GetModel documentation by @copybara-service in #10552
  • chore(components): Update AutoSxS and RLHF image tags by @copybara-service in #10551
  • fix(backend): Fixes response status of http error code when uploading duplicate pipeline [Fixes #10311] by @champon1020 in #10546
  • chore: Change stalebot rules by @rimolive in #10547
  • fix(kubernetes_platform): Add optional field to SecretAsVolume and ConfigMapAsVolume. Fixes #10548 by @revit13 in #10549
  • feat(components): Add CMEK support to AutoSxS pipeline by @copybara-service in #10555
  • feat(components): Update _LLM_EVAL_VERSION to v0.6 by @copybara-service in #10565
  • chore(components): update container image of endpoint batch predict component for vulnerability patch by @copybara-service in #10566
  • chore(backend): Update kfp driver and launcher images by @chensun in #10561
  • fix(components): Add relevant component and pipeline inputs/outputs to support creating ModelEvaluations as part of the AutoSxS Metrics component by @copybara-service in #10554
  • feat(components): Release Forecasting training pipelines to V1 namespace by @copybara-service in #10569
  • feat(components): Add location validation to preview.llm.rlhf_pipeline by @copybara-service in #10542
  • chore(components): Testing fix by @copybara-service in #10576
  • fix(samples): Update resource_spec, retry, secret samples to v2 pipelines by @junggil in #9876
  • fix: Modified the comment/text for pipeline_version_id by @amadhusu in #10581
  • chore(components): Update AutoSxS and RLHF image tags by @copybara-service in #10582
  • chore: Update api-generator to use golang 1.20 by @chensun in #10580
  • fix(docs): make full version dropdown show on all KFP SDK docs versions by @connor-mccarthy in #10577
  • feat(components): Implement new component to preprocess and validate inputs for rlhf by @copybara-service in #10480
  • chore(components): GCPC 2.11.0 Release by @copybara-service in #10573
  • fix(components): Fix missing pipeline parameters by @copybara-service in #10587
  • chore: Update release image by @chensun in #10599
  • fix: Modified the swagger json files according to the modified proto files. by @amadhusu in #10591
  • feat(components): Copy text generation eval and text classification evak pipelines from preview to v1 by @copybara-service in #10586
  • docs(components): internal by @copybara-service in #10556

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Full Changelog: 2.0.5...2.1.0

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