chore(release): bumped version to 2.0.4

kubeflow · Dec 1, 2023 · a226de2 · a226de2
1 parent 1f69834
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diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -1,5 +1,43 @@
 # Changelog
 
+### [2.0.4](https://github.com/kubeflow/pipelines/compare/2.0.3...2.0.4) (2023-12-01)
+
+
+### Features
+
+* **components:** [endpoint_batch_predict] add retry function for retryable error ([a54ac75](https://github.com/kubeflow/pipelines/commit/a54ac75c8ce94919969e939ec6d93d7959f2bd35))
+* **components:** [third party model inference] Initialize component ([1e089e6](https://github.com/kubeflow/pipelines/commit/1e089e6f6d2529bd396f4cdd27a0cad3bf7824a6))
+* **components:** Add ability to tune chat model with `preview.llm.rlhf_pipeline` ([f67cbfa](https://github.com/kubeflow/pipelines/commit/f67cbfa81f7d4caf63879e5e544ad55c0f3d7940))
+* **components:** Add chat dataset preprocessor to `preview.llm.infer_pipeline` ([d8f2c14](https://github.com/kubeflow/pipelines/commit/d8f2c140cecf0e1b9a5437e8eb46731e89cc6b41))
+* **components:** add environment variable support to GCPC's `create_custom_training_job_from_component` ([91f50da](https://github.com/kubeflow/pipelines/commit/91f50da23505b680e77201c14a5ffaf1824bc919))
+* **components:** add LLM Eval pipeline parameter for customizing eval dataset reference ground truth field ([f6aad5e](https://github.com/kubeflow/pipelines/commit/f6aad5e4e0448583490ef688ecb23af74caf4dab))
+* **components:** Add tuning dataset support to LLM Eval Text Generation and Text Classification Pipelines. Include new LLM Eval Preprocessor component to both pipelines ([b55ed6e](https://github.com/kubeflow/pipelines/commit/b55ed6e4b4ffced24a7fbd020406c4909df84381))
+* **components:** Create new eval dataset preprocessor for formatting eval dataset ([6cfad2b](https://github.com/kubeflow/pipelines/commit/6cfad2b348649341211a8a9cad7ea9329c130fae))
+* **components:** Edit embedding pipeline to use generic batch predict component to support multilingual embeddings model ([397b1c9](https://github.com/kubeflow/pipelines/commit/397b1c97be1ef3baf37b664ca56ee119f9bbe7d3))
+* **components:** Enable endpoint_batch_predict component to take in publisher model by either model_address + model_id or just model_id ([1f69834](https://github.com/kubeflow/pipelines/commit/1f698349f14871b85c4e68fcc1ed475220eaf9e6))
+* **components:** Fix batch prediction model parameters payload sanitization error(batch prediction job) ([fb4512d](https://github.com/kubeflow/pipelines/commit/fb4512dc0ac0201b900932fd1598f4d382f039ee))
+* **components:** Group `preview.llm.rlhf_pipeline` components for more readability ([c23b720](https://github.com/kubeflow/pipelines/commit/c23b720f1058bc44ea41a3e4bcdfdc4e3505c47f))
+* **components:** Group `preview.llm.rlhf_pipeline` components for more readability ([bcd5922](https://github.com/kubeflow/pipelines/commit/bcd59220f4cee29b317cc209e0e006dee0a258a8))
+* **components:** Group `preview.llm.rlhf_pipeline` components for more readability ([a927984](https://github.com/kubeflow/pipelines/commit/a9279843946183429f6572516acee6523de36e53))
+* **components:** Update image tag used by RLHF components ([4a5cbbf](https://github.com/kubeflow/pipelines/commit/4a5cbbfb8d5ccf721fc29c61605deb8df7926750))
+* **sdk:** add executor output path and executor input message placeholders ([\#10240](https://github.com/kubeflow/pipelines/issues/10240)) ([d3323c0](https://github.com/kubeflow/pipelines/commit/d3323c06f3d5a66323dd8fb2eb06eb4a0924476b))
+* **sdk:** add local execution config #localexecution ([\#10234](https://github.com/kubeflow/pipelines/issues/10234)) ([0d7913c](https://github.com/kubeflow/pipelines/commit/0d7913ce4ed35fe762ba5021dee2d4b09b5efca9))
+* **sdk:** support `.after()` referencing task in `ParallelFor` group ([\#10257](https://github.com/kubeflow/pipelines/issues/10257)) ([11f60d8](https://github.com/kubeflow/pipelines/commit/11f60d813a3bbf5549c993a8384771be37d337e5))
+
+
+### Bug Fixes
+
+* **backend:** Pipeline and PipelineVersion Description column value should be optional. ([\#10205](https://github.com/kubeflow/pipelines/issues/10205)) ([0948561](https://github.com/kubeflow/pipelines/commit/0948561fdabc6dff29c3171ed69614e4b9b9061a))
+* **components:** fix GCPC AutoMLImageTrainingJobRunOp ModuleNotFoundError ([9f278f3](https://github.com/kubeflow/pipelines/commit/9f278f3682662b24b46be2d9ef4a783bcc1f9b0c))
+* **frontend:** Support running old v1 pipeline. Fix [\#10153](https://github.com/kubeflow/pipelines/issues/10153) ([\#10276](https://github.com/kubeflow/pipelines/issues/10276)) ([f5cb2d7](https://github.com/kubeflow/pipelines/commit/f5cb2d7d6f9dd60be047d77486cd861ad9b0293c))
+
+
+### Other Pull Requests
+
+* feat(components):[text2sql] Integration with first party LLM model inference pipeline ([71e5a93](https://github.com/kubeflow/pipelines/commit/71e5a938efeebebeb88c3077e1b9d88097e60c9b))
+* No public description ([a8dd311](https://github.com/kubeflow/pipelines/commit/a8dd3117d5e07656b19bccdd4a0cac8860b9c2fd))
+* feat(components):[text2sql] Generate SQL queries by model batch prediction ([2910d0b](https://github.com/kubeflow/pipelines/commit/2910d0bb5276daf5aeb79d6ba7c09f7856b899e4))
+
 ### [2.0.3](https://github.com/kubeflow/pipelines/compare/2.0.2...2.0.3) (2023-10-27)
 
 

diff --git a/VERSION b/VERSION
@@ -1 +1 @@
-2.0.3
+2.0.4
diff --git a/backend/api/v1beta1/python_http_client/README.md b/backend/api/v1beta1/python_http_client/README.md
@@ -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: 2.0.3
-- Package version: 2.0.3
+- API version: 2.0.4
+- Package version: 2.0.4
 - Build package: org.openapitools.codegen.languages.PythonClientCodegen
 For more information, please visit [https://www.google.com](https://www.google.com)
 

diff --git a/backend/api/v1beta1/python_http_client/kfp_server_api/__init__.py b/backend/api/v1beta1/python_http_client/kfp_server_api/__init__.py
@@ -14,7 +14,7 @@
 
 from __future__ import absolute_import
 
-__version__ = "2.0.3"
+__version__ = "2.0.4"
 
 # import apis into sdk package
 from kfp_server_api.api.experiment_service_api import ExperimentServiceApi

diff --git a/backend/api/v1beta1/python_http_client/kfp_server_api/api_client.py b/backend/api/v1beta1/python_http_client/kfp_server_api/api_client.py
@@ -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/2.0.3/python'
+        self.user_agent = 'OpenAPI-Generator/2.0.4/python'
         self.client_side_validation = configuration.client_side_validation
 
     def __enter__(self):

diff --git a/backend/api/v1beta1/python_http_client/kfp_server_api/configuration.py b/backend/api/v1beta1/python_http_client/kfp_server_api/configuration.py
@@ -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: 2.0.3\n"\
-               "SDK Package Version: 2.0.3".\
+               "Version of the API: 2.0.4\n"\
+               "SDK Package Version: 2.0.4".\
                format(env=sys.platform, pyversion=sys.version)
 
     def get_host_settings(self):

diff --git a/backend/api/v1beta1/python_http_client/setup.py b/backend/api/v1beta1/python_http_client/setup.py
@@ -13,7 +13,7 @@
 from setuptools import setup, find_packages  # noqa: H301
 
 NAME = "kfp-server-api"
-VERSION = "2.0.3"
+VERSION = "2.0.4"
 # To install the library, run the following
 #
 # python setup.py install

diff --git a/backend/api/v1beta1/swagger/kfp_api_single_file.swagger.json b/backend/api/v1beta1/swagger/kfp_api_single_file.swagger.json
@@ -2,7 +2,7 @@
   "swagger": "2.0",
   "info": {
     "title": "Kubeflow Pipelines API",
-    "version": "2.0.3",
+    "version": "2.0.4",
     "description": "This file contains REST API specification for Kubeflow Pipelines. The file is autogenerated from the swagger definition.",
     "contact": {
       "name": "google",

diff --git a/backend/api/v2beta1/python_http_client/README.md b/backend/api/v2beta1/python_http_client/README.md
@@ -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: 2.0.3
-- Package version: 2.0.3
+- API version: 2.0.4
+- Package version: 2.0.4
 - Build package: org.openapitools.codegen.languages.PythonClientCodegen
 For more information, please visit [https://www.google.com](https://www.google.com)
 

diff --git a/backend/api/v2beta1/python_http_client/kfp_server_api/__init__.py b/backend/api/v2beta1/python_http_client/kfp_server_api/__init__.py
@@ -14,7 +14,7 @@
 
 from __future__ import absolute_import
 
-__version__ = "2.0.3"
+__version__ = "2.0.4"
 
 # import apis into sdk package
 from kfp_server_api.api.auth_service_api import AuthServiceApi

diff --git a/backend/api/v2beta1/python_http_client/kfp_server_api/api_client.py b/backend/api/v2beta1/python_http_client/kfp_server_api/api_client.py
@@ -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/2.0.3/python'
+        self.user_agent = 'OpenAPI-Generator/2.0.4/python'
         self.client_side_validation = configuration.client_side_validation
 
     def __enter__(self):

diff --git a/backend/api/v2beta1/python_http_client/kfp_server_api/configuration.py b/backend/api/v2beta1/python_http_client/kfp_server_api/configuration.py
@@ -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: 2.0.3\n"\
-               "SDK Package Version: 2.0.3".\
+               "Version of the API: 2.0.4\n"\
+               "SDK Package Version: 2.0.4".\
                format(env=sys.platform, pyversion=sys.version)
 
     def get_host_settings(self):

diff --git a/backend/api/v2beta1/python_http_client/setup.py b/backend/api/v2beta1/python_http_client/setup.py
@@ -13,7 +13,7 @@
 from setuptools import setup, find_packages  # noqa: H301
 
 NAME = "kfp-server-api"
-VERSION = "2.0.3"
+VERSION = "2.0.4"
 # To install the library, run the following
 #
 # python setup.py install

diff --git a/backend/api/v2beta1/swagger/kfp_api_single_file.swagger.json b/backend/api/v2beta1/swagger/kfp_api_single_file.swagger.json
@@ -2,7 +2,7 @@
   "swagger": "2.0",
   "info": {
     "title": "Kubeflow Pipelines API",
-    "version": "2.0.3",
+    "version": "2.0.4",
     "description": "This file contains REST API specification for Kubeflow Pipelines. The file is autogenerated from the swagger definition.",
     "contact": {
       "name": "google",

diff --git a/manifests/gcp_marketplace/chart/kubeflow-pipelines/templates/application.yaml b/manifests/gcp_marketplace/chart/kubeflow-pipelines/templates/application.yaml
@@ -12,7 +12,7 @@ metadata:
 spec:
   descriptor:
     type: Kubeflow Pipelines
-    version: 2.0.3
+    version: 2.0.4
     description: |-
       Reusable end-to-end ML workflow
     maintainers:

diff --git a/manifests/gcp_marketplace/schema.yaml b/manifests/gcp_marketplace/schema.yaml
@@ -1,9 +1,9 @@
 x-google-marketplace:
   schemaVersion: v2
   applicationApiVersion: v1beta1
-  publishedVersion: 2.0.3
+  publishedVersion: 2.0.4
   publishedVersionMetadata:
-    releaseNote: Based on 2.0.3 version.
+    releaseNote: Based on 2.0.4 version.
     releaseTypes:
       - Feature
     recommended: false

diff --git a/manifests/kustomize/base/cache-deployer/kustomization.yaml b/manifests/kustomize/base/cache-deployer/kustomization.yaml
@@ -8,4 +8,4 @@ commonLabels:
   app: cache-deployer
 images:
   - name: gcr.io/ml-pipeline/cache-deployer
-    newTag: 2.0.3
+    newTag: 2.0.4
diff --git a/manifests/kustomize/base/cache/kustomization.yaml b/manifests/kustomize/base/cache/kustomization.yaml
@@ -10,4 +10,4 @@ commonLabels:
   app: cache-server
 images:
   - name: gcr.io/ml-pipeline/cache-server
-    newTag: 2.0.3
+    newTag: 2.0.4
diff --git a/manifests/kustomize/base/installs/generic/pipeline-install-config.yaml b/manifests/kustomize/base/installs/generic/pipeline-install-config.yaml
@@ -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: 2.0.3
+  appVersion: 2.0.4
   dbHost: mysql # relic to be removed after release
   dbPort: "3306" # relic to be removed after release
   dbType: mysql

diff --git a/manifests/kustomize/base/metadata/base/kustomization.yaml b/manifests/kustomize/base/metadata/base/kustomization.yaml
@@ -9,4 +9,4 @@ resources:
   - metadata-grpc-sa.yaml
 images:
   - name: gcr.io/ml-pipeline/metadata-envoy
-    newTag: 2.0.3
+    newTag: 2.0.4
diff --git a/manifests/kustomize/base/pipeline/kustomization.yaml b/manifests/kustomize/base/pipeline/kustomization.yaml
@@ -37,14 +37,14 @@ resources:
   - kfp-launcher-configmap.yaml
 images:
   - name: gcr.io/ml-pipeline/api-server
-    newTag: 2.0.3
+    newTag: 2.0.4
   - name: gcr.io/ml-pipeline/persistenceagent
-    newTag: 2.0.3
+    newTag: 2.0.4
   - name: gcr.io/ml-pipeline/scheduledworkflow
-    newTag: 2.0.3
+    newTag: 2.0.4
   - name: gcr.io/ml-pipeline/frontend
-    newTag: 2.0.3
+    newTag: 2.0.4
   - name: gcr.io/ml-pipeline/viewer-crd-controller
-    newTag: 2.0.3
+    newTag: 2.0.4
   - name: gcr.io/ml-pipeline/visualization-server
-    newTag: 2.0.3
+    newTag: 2.0.4
diff --git a/manifests/kustomize/base/pipeline/metadata-writer/kustomization.yaml b/manifests/kustomize/base/pipeline/metadata-writer/kustomization.yaml
@@ -7,4 +7,4 @@ resources:
   - metadata-writer-sa.yaml
 images:
   - name: gcr.io/ml-pipeline/metadata-writer
-    newTag: 2.0.3
+    newTag: 2.0.4
diff --git a/manifests/kustomize/env/gcp/inverse-proxy/kustomization.yaml b/manifests/kustomize/env/gcp/inverse-proxy/kustomization.yaml
@@ -2,7 +2,7 @@ apiVersion: kustomize.config.k8s.io/v1beta1
 kind: Kustomization
 images:
   - name: gcr.io/ml-pipeline/inverse-proxy-agent
-    newTag: 2.0.3
+    newTag: 2.0.4
 resources:
   - proxy-configmap.yaml
   - proxy-deployment.yaml