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chore(release): bumped version to 2.0.3
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chensun committed Oct 27, 2023
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42 changes: 42 additions & 0 deletions CHANGELOG.md
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# Changelog

### [2.0.3](https://github.com/kubeflow/pipelines/compare/2.0.2...2.0.3) (2023-10-27)


### Features

* **backend:** Support consuming parent DAG input artifact ([\#10162](https://github.com/kubeflow/pipelines/issues/10162)) ([52f5cf5](https://github.com/kubeflow/pipelines/commit/52f5cf51c4a6c233aae57125561c0fc95c4fd20f))
* **backend:** Update driver and launcher images ([\#10164](https://github.com/kubeflow/pipelines/issues/10164)) ([c0093ec](https://github.com/kubeflow/pipelines/commit/c0093ecef6bc5f056efa135d019267327115d79d))
* **components:** [endpoint_batch_predict] Initialize component ([0d75611](https://github.com/kubeflow/pipelines/commit/0d7561199751e83b4d7e1603c3d32d4088a7e208))
* **components:** [text2sql] Generate column names by model batch predict ([1bee8be](https://github.com/kubeflow/pipelines/commit/1bee8be071a91f44c0129837c381863327cb337d))
* **components:** [text2sql] Generate table names by model batch prediction ([ebb4245](https://github.com/kubeflow/pipelines/commit/ebb42450d0b07eaa8de35a3f6b70eacb5f26f0d8))
* **components:** [text2sql] Implement preprocess component logic ([21079b5](https://github.com/kubeflow/pipelines/commit/21079b5910e597a38b67853f3ecfb3929344371e))
* **components:** [text2sql] Initialize preprocess component and integrate with text2sql pipeline ([9aa750e](https://github.com/kubeflow/pipelines/commit/9aa750e62f6e225d037ecdda9bf7cab95f05675d))
* **components:** [text2sql] Initialize evaluation component ([ea93979](https://github.com/kubeflow/pipelines/commit/ea93979eed02e131bd20180da149b9465670dfe1))
* **components:** [text2sql] Initialize validate and process component ([633ddeb](https://github.com/kubeflow/pipelines/commit/633ddeb07e9212d2e373dba8d20a0f6d67ab037d))
* **components:** Add ability to preprocess chat llama datasets to `_implementation.llm.chat_dataset_preprocessor` ([99fd201](https://github.com/kubeflow/pipelines/commit/99fd2017a76660f30d0a04b71542cbef45783633))
* **components:** Add question_answer support for AutoSxS default instructions ([412216f](https://github.com/kubeflow/pipelines/commit/412216f832a848bfc61ce289aed819d7f2860fdd))
* **components:** Add sliced evaluation metrics support for custom and unstructured AutoML models in evaluation feature attribution pipeline ([d8a0660](https://github.com/kubeflow/pipelines/commit/d8a0660df525f5695015e507e981bceff836dd3d))
* **components:** Add sliced evaluation metrics support for custom and unstructured AutoML models in evaluation pipeline ([0487f9a](https://github.com/kubeflow/pipelines/commit/0487f9a8b1d8ab0d96d757bd4b598ffd353ecc81))
* **components:** add support for customizing model_parameters in LLM eval text generation and LLM eval text classification pipelines ([d53ddda](https://github.com/kubeflow/pipelines/commit/d53dddab1c8a042e58e06ff6eb38be82fefddb0a))
* **components:** Make `model_checkpoint` optional for `preview.llm.infer_pipeline` ([e8fb699](https://github.com/kubeflow/pipelines/commit/e8fb6990dfdf036c941c522f9b384ff679b38ca6))
* **components:** migrate `DataflowFlexTemplateJobOp` to GA namespace (now `v1.dataflow.DataflowFlexTemplateJobOp`) ([faba922](https://github.com/kubeflow/pipelines/commit/faba9223ee846d459f7bb497a6faa3c153dcf430))
* **components:** Set display names for SFT, RLHF and LLM inference pipelines ([1386a82](https://github.com/kubeflow/pipelines/commit/1386a826ba2bcdbc19eb2007ca43f6acd1031e4d))
* **components:** Support service account in kubeflow model_batch_predict component ([1682ce8](https://github.com/kubeflow/pipelines/commit/1682ce8adeb2c55a155588eae7492b2f0a8b783a))
* **components:** Update image tag used by llm pipelines ([4d71fda](https://github.com/kubeflow/pipelines/commit/4d71fdac3fc92dd4d54c6be3a28725667b8f3c5e))
* **sdk:** support a Pythonic artifact authoring style ([\#9932](https://github.com/kubeflow/pipelines/issues/9932)) ([8d00d0e](https://github.com/kubeflow/pipelines/commit/8d00d0eb9a1442ed994b6a90acea88604efc6423))
* **sdk:** support collecting outputs from conditional branches using `dsl.OneOf` ([\#10067](https://github.com/kubeflow/pipelines/issues/10067)) ([2d3171c](https://github.com/kubeflow/pipelines/commit/2d3171cbfec626055e59b8a58ce83fb54ecad113))


### Bug Fixes

* **components:** [text2sql] Turn model_inference_results_path to model_inference_results_directory and remove duplicate comment ([570e56d](https://github.com/kubeflow/pipelines/commit/570e56dd09af32e173cf041eed7497e4533ec186))
* **frontend:** Replace twitter artifactory endpoint with npm endpoint. ([\#10099](https://github.com/kubeflow/pipelines/issues/10099)) ([da6a360](https://github.com/kubeflow/pipelines/commit/da6a3601468282c0592eae8e89a3d97b982e2d43))
* **sdk:** fix bug when `dsl.importer` argument is provided by loop variable ([\#10116](https://github.com/kubeflow/pipelines/issues/10116)) ([73d51c8](https://github.com/kubeflow/pipelines/commit/73d51c8a23afad97efb6d7e7436c081fa22ce24d))
* **sdk:** Fix OOB for IPython and refactor. Closes [\#10075](https://github.com/kubeflow/pipelines/issues/10075). ([\#10094](https://github.com/kubeflow/pipelines/issues/10094)) ([c903271](https://github.com/kubeflow/pipelines/commit/c9032716ab2013df56cb1078a703d48ed8e36fb4))
* **sdk:** type annotation for client credentials ([\#10158](https://github.com/kubeflow/pipelines/issues/10158)) ([02e00e8](https://github.com/kubeflow/pipelines/commit/02e00e8439e9753dbf82856ac9c5a7cec8ce3243))


### Other Pull Requests

* feat(components) Extend kserve component ([\#10136](https://github.com/kubeflow/pipelines/issues/10136)) ([2054b7c](https://github.com/kubeflow/pipelines/commit/2054b7c45d4831c787115563c8be0048abcb9be1))
* No public description ([0e240db](https://github.com/kubeflow/pipelines/commit/0e240db39799cb0afbd8c7f982ffdd4f9eb58121))

### [2.0.2](https://github.com/kubeflow/pipelines/compare/2.0.0...2.0.2) (2023-10-11)


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2 changes: 1 addition & 1 deletion VERSION
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@@ -1 +1 @@
2.0.2
2.0.3
4 changes: 2 additions & 2 deletions backend/api/v1beta1/python_http_client/README.md
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Expand Up @@ -3,8 +3,8 @@ This file contains REST API specification for Kubeflow Pipelines. The file is au

This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:

- API version: 2.0.2
- Package version: 2.0.2
- API version: 2.0.3
- Package version: 2.0.3
- Build package: org.openapitools.codegen.languages.PythonClientCodegen
For more information, please visit [https://www.google.com](https://www.google.com)

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from __future__ import absolute_import

__version__ = "2.0.2"
__version__ = "2.0.3"

# import apis into sdk package
from kfp_server_api.api.experiment_service_api import ExperimentServiceApi
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Expand Up @@ -78,7 +78,7 @@ def __init__(self, configuration=None, header_name=None, header_value=None,
self.default_headers[header_name] = header_value
self.cookie = cookie
# Set default User-Agent.
self.user_agent = 'OpenAPI-Generator/2.0.2/python'
self.user_agent = 'OpenAPI-Generator/2.0.3/python'
self.client_side_validation = configuration.client_side_validation

def __enter__(self):
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Expand Up @@ -351,8 +351,8 @@ def to_debug_report(self):
return "Python SDK Debug Report:\n"\
"OS: {env}\n"\
"Python Version: {pyversion}\n"\
"Version of the API: 2.0.2\n"\
"SDK Package Version: 2.0.2".\
"Version of the API: 2.0.3\n"\
"SDK Package Version: 2.0.3".\
format(env=sys.platform, pyversion=sys.version)

def get_host_settings(self):
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2 changes: 1 addition & 1 deletion backend/api/v1beta1/python_http_client/setup.py
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from setuptools import setup, find_packages # noqa: H301

NAME = "kfp-server-api"
VERSION = "2.0.2"
VERSION = "2.0.3"
# To install the library, run the following
#
# python setup.py install
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"swagger": "2.0",
"info": {
"title": "Kubeflow Pipelines API",
"version": "2.0.2",
"version": "2.0.3",
"description": "This file contains REST API specification for Kubeflow Pipelines. The file is autogenerated from the swagger definition.",
"contact": {
"name": "google",
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4 changes: 2 additions & 2 deletions backend/api/v2beta1/python_http_client/README.md
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Expand Up @@ -3,8 +3,8 @@ This file contains REST API specification for Kubeflow Pipelines. The file is au

This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:

- API version: 2.0.2
- Package version: 2.0.2
- API version: 2.0.3
- Package version: 2.0.3
- Build package: org.openapitools.codegen.languages.PythonClientCodegen
For more information, please visit [https://www.google.com](https://www.google.com)

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Expand Up @@ -14,7 +14,7 @@

from __future__ import absolute_import

__version__ = "2.0.2"
__version__ = "2.0.3"

# import apis into sdk package
from kfp_server_api.api.auth_service_api import AuthServiceApi
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Expand Up @@ -78,7 +78,7 @@ def __init__(self, configuration=None, header_name=None, header_value=None,
self.default_headers[header_name] = header_value
self.cookie = cookie
# Set default User-Agent.
self.user_agent = 'OpenAPI-Generator/2.0.2/python'
self.user_agent = 'OpenAPI-Generator/2.0.3/python'
self.client_side_validation = configuration.client_side_validation

def __enter__(self):
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Expand Up @@ -351,8 +351,8 @@ def to_debug_report(self):
return "Python SDK Debug Report:\n"\
"OS: {env}\n"\
"Python Version: {pyversion}\n"\
"Version of the API: 2.0.2\n"\
"SDK Package Version: 2.0.2".\
"Version of the API: 2.0.3\n"\
"SDK Package Version: 2.0.3".\
format(env=sys.platform, pyversion=sys.version)

def get_host_settings(self):
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2 changes: 1 addition & 1 deletion backend/api/v2beta1/python_http_client/setup.py
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Expand Up @@ -13,7 +13,7 @@
from setuptools import setup, find_packages # noqa: H301

NAME = "kfp-server-api"
VERSION = "2.0.2"
VERSION = "2.0.3"
# To install the library, run the following
#
# python setup.py install
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Expand Up @@ -2,7 +2,7 @@
"swagger": "2.0",
"info": {
"title": "Kubeflow Pipelines API",
"version": "2.0.2",
"version": "2.0.3",
"description": "This file contains REST API specification for Kubeflow Pipelines. The file is autogenerated from the swagger definition.",
"contact": {
"name": "google",
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Expand Up @@ -12,7 +12,7 @@ metadata:
spec:
descriptor:
type: Kubeflow Pipelines
version: 2.0.2
version: 2.0.3
description: |-
Reusable end-to-end ML workflow
maintainers:
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4 changes: 2 additions & 2 deletions manifests/gcp_marketplace/schema.yaml
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@@ -1,9 +1,9 @@
x-google-marketplace:
schemaVersion: v2
applicationApiVersion: v1beta1
publishedVersion: 2.0.2
publishedVersion: 2.0.3
publishedVersionMetadata:
releaseNote: Based on 2.0.2 version.
releaseNote: Based on 2.0.3 version.
releaseTypes:
- Feature
recommended: false
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2 changes: 1 addition & 1 deletion manifests/kustomize/base/cache-deployer/kustomization.yaml
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Expand Up @@ -8,4 +8,4 @@ commonLabels:
app: cache-deployer
images:
- name: gcr.io/ml-pipeline/cache-deployer
newTag: 2.0.2
newTag: 2.0.3
2 changes: 1 addition & 1 deletion manifests/kustomize/base/cache/kustomization.yaml
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Expand Up @@ -10,4 +10,4 @@ commonLabels:
app: cache-server
images:
- name: gcr.io/ml-pipeline/cache-server
newTag: 2.0.2
newTag: 2.0.3
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Expand Up @@ -11,7 +11,7 @@ data:
until the changes take effect. A quick way to restart all deployments in a
namespace: `kubectl rollout restart deployment -n <your-namespace>`.
appName: pipeline
appVersion: 2.0.2
appVersion: 2.0.3
dbHost: mysql # relic to be removed after release
dbPort: "3306" # relic to be removed after release
dbType: mysql
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2 changes: 1 addition & 1 deletion manifests/kustomize/base/metadata/base/kustomization.yaml
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Expand Up @@ -9,4 +9,4 @@ resources:
- metadata-grpc-sa.yaml
images:
- name: gcr.io/ml-pipeline/metadata-envoy
newTag: 2.0.2
newTag: 2.0.3
12 changes: 6 additions & 6 deletions manifests/kustomize/base/pipeline/kustomization.yaml
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Expand Up @@ -37,14 +37,14 @@ resources:
- kfp-launcher-configmap.yaml
images:
- name: gcr.io/ml-pipeline/api-server
newTag: 2.0.2
newTag: 2.0.3
- name: gcr.io/ml-pipeline/persistenceagent
newTag: 2.0.2
newTag: 2.0.3
- name: gcr.io/ml-pipeline/scheduledworkflow
newTag: 2.0.2
newTag: 2.0.3
- name: gcr.io/ml-pipeline/frontend
newTag: 2.0.2
newTag: 2.0.3
- name: gcr.io/ml-pipeline/viewer-crd-controller
newTag: 2.0.2
newTag: 2.0.3
- name: gcr.io/ml-pipeline/visualization-server
newTag: 2.0.2
newTag: 2.0.3
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Expand Up @@ -7,4 +7,4 @@ resources:
- metadata-writer-sa.yaml
images:
- name: gcr.io/ml-pipeline/metadata-writer
newTag: 2.0.2
newTag: 2.0.3
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Expand Up @@ -2,7 +2,7 @@ apiVersion: kustomize.config.k8s.io/v1beta1
kind: Kustomization
images:
- name: gcr.io/ml-pipeline/inverse-proxy-agent
newTag: 2.0.2
newTag: 2.0.3
resources:
- proxy-configmap.yaml
- proxy-deployment.yaml
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