TFX 1.3.1 Release (#4392)

Co-authored-by: tfx-team <tensorflow-extended-nonhuman@googlegroups.com>

Author: jay90099

README.md

@@ -63,6 +63,7 @@ but other *untested* combinations may also work.
 tfx                                                                       | apache-beam[gcp] | ml-metadata | pyarrow | tensorflow        | tensorflow-data-validation | tensorflow-metadata | tensorflow-model-analysis | tensorflow-serving-api | tensorflow-transform | tfx-bsl
 ------------------------------------------------------------------------- | ---------------- | ----------- | ------- | ----------------- | -------------------------- | ------------------- | ------------------------- | ---------------------- | -------------------- | -------
 [GitHub master](https://github.com/tensorflow/tfx/blob/master/RELEASE.md) | 2.32.0           | 1.3.0       | 2.0.0   | nightly (1.x/2.x) | 1.3.0                      | 1.2.0               | 0.34.1                    | 2.6.0                  | 1.3.0                | 1.3.0
+1.3.1                                                                     | 2.32.0           | 1.3.0       | 2.0.0   | 1.15.0 / 2.6.0    | 1.3.0                      | 1.2.0               | 0.34.1                    | 2.6.0                  | 1.3.0                | 1.3.0
 1.3.0                                                                     | 2.32.0           | 1.3.0       | 2.0.0   | 1.15.0 / 2.6.0    | 1.3.0                      | 1.2.0               | 0.34.1                    | 2.6.0                  | 1.3.0                | 1.3.0
 1.2.0                                                                     | 2.31.0           | 1.2.0       | 2.0.0   | 1.15.0 / 2.5.0    | 1.2.0                      | 1.2.0               | 0.33.0                    | 2.5.1                  | 1.2.0                | 1.2.0
 1.0.0                                                                     | 2.29.0           | 1.0.0       | 2.0.0   | 1.15.0 / 2.5.0    | 1.0.0                      | 1.0.0               | 0.31.0                    | 2.5.1                  | 1.0.0                | 1.0.0

RELEASE.md

@@ -1,20 +1,8 @@
-# Version 1.3.0
+# Version 1.3.1
 
 ## Major Features and Improvements
 
-*   TFX CLI now supports runtime parameter on Kubeflow, Vertex, and Airflow.
-    Use it with '--runtime_parameter=<parameter_name>=<parameter_value>' flag.
-    In the case of multiple runtime parameters, format is as follows:
-    '--runtime_parameter=<parameter_name>=<parameter_value> --runtime_parameter
-    =<parameter_name>=<parameter_value>'
-*   Added Manual node in the experimental orchestrator.
-*   Placeholders support index access and JSON serialization for list type execution properties.
-*   Added `ImportSchemaGen` which is a dedicated component to import a
-    pre-defined schema file. ImportSchemaGen will replace `Importer` with
-    simpler syntax and less constraints. You have to pass the file path to the
-    schema file instead of the parent directory unlike `Importer`.
-
-## Breaking Changes
+*   N/A
 
 ### For Pipeline Authors
 
@@ -26,38 +14,11 @@
 
 ## Deprecations
 
-*   The import name of KerasTuner has been changed from `kerastuner`
-    to `keras_tuner`. The import name of `kerastuner` is still supported.
-    A warning will occur when import from `kerastuner`, but does not affect
-    the usage.
+*   N/A
 
 ## Bug Fixes and Other Changes
 
-*   The default job name for Google Cloud AI Training jobs was changed from
-    'tfx_YYYYmmddHHMMSS' to 'tfx_YYYYmmddHHMMSS_xxxxxxxx', where 'xxxxxxxx' is
-    a random 8 digit hexadecimal string.
-*   Fix component to raise error if its input required channel (specified from
-    ComponentSpec) has no artifacts in it.
-*   Fixed an issue where ClientOptions with regional endpoint was
-    incorrectly left out in Vertex AI pusher.
-*   CLI now hides passed flags from user python files in "--pipeline-path". This
-    will prevent errors when user python file tries reading and parsing flags.
-*   Fixed missing type information marker file 'py.typed'.
-*   Depends on `apache-beam[gcp]>=2.32,<3`.
-*   Depends on `google-cloud-bigquery>=1.28.0,<3`.
-*   Depends on `google-cloud-aiplatform>=0.5.0,<2`.
-*   Depends on `jinja2>=2.7.3,<4`, i.e. now supports Jinja 3.x.
-*   Depends on `keras-tuner>=1.0.4,<2`.
-*   Depends on `kfp>=1.6.1,!=1.7.2,<1.8.2` in \[kfp\] extra.
-*   Depends on `kfp-pipeline-spec>=>=0.1.10,<0.2`.
-*   Depends on `ml-metadata>=1.3.0,<1.4.0`.
-*   Depends on `struct2tensor>=0.34.0,<0.35.0`.
-*   Depends on `tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,<3`.
-*   Depends on `tensorflow-data-validation>=1.3.0,<1.4.0`.
-*   Depends on `tensorflow-model-analysis>=0.34.1,<0.35.0`.
-*   Depends on `tensorflow-serving-api>=1.15,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,<3`.
-*   Depends on `tensorflow-transform>=1.3.0,<1.4.0`.
-*   Depends on `tfx-bsl>=1.3.0,<1.4.0`.
+*  Fixed Vertex Pusher by passing enable_vertex flag for deploying model.
 
 ## Documentation Updates
 

tfx/extensions/google_cloud_ai_platform/prediction_clients.py

@@ -427,11 +427,21 @@ def deploy_model(self,
     if sys.version_info[:2] != (3, 7):
       logging.warn('Current python version is not the same as default of 3.7.')
 
-    project_id = ai_platform_serving_args['project_id']
+    if ai_platform_serving_args.get('project_id'):
+      assert 'project' not in ai_platform_serving_args, ('`project` and '
+                                                         '`project_id` should '
+                                                         'not be set at the '
+                                                         'same time in serving '
+                                                         'args')
+      logging.warn('Replacing `project_id` with `project` in serving args.')
+      ai_platform_serving_args['project'] = ai_platform_serving_args[
+          'project_id']
+      ai_platform_serving_args.pop('project_id')
+    project = ai_platform_serving_args['project']
 
     # Initialize the AI Platform client
     # location defaults to 'us-central-1' if not specified
-    aiplatform.init(project=project_id, location=endpoint_region)
+    aiplatform.init(project=project, location=endpoint_region)
 
     endpoint_name = ai_platform_serving_args['endpoint_name']
     if not skip_model_endpoint_creation:
@@ -440,13 +450,13 @@ def deploy_model(self,
     endpoint = self._get_endpoint(ai_platform_serving_args)
 
     deploy_body = dict(ai_platform_serving_args)
-    for unneeded_key in ['endpoint_name', 'project_id', 'regions', 'labels']:
+    for unneeded_key in ['endpoint_name', 'project', 'regions', 'labels']:
       deploy_body.pop(unneeded_key, None)
     deploy_body['traffic_percentage'] = deploy_body.get(
         'traffic_percentage', 100 if set_default else 0)
     logging.info(
         'Creating model_name %s in project %s at endpoint %s, request body: %s',
-        model_version_name, project_id, endpoint_name, deploy_body)
+        model_version_name, project, endpoint_name, deploy_body)
 
     model = aiplatform.Model.upload(
         display_name=model_version_name,

tfx/extensions/google_cloud_ai_platform/pusher/executor.py

@@ -139,6 +139,7 @@ def Do(self, input_dict: Dict[str, List[types.Artifact]],
           endpoint_region=endpoint_region,
           labels=job_labels,
           serving_path=model_path,
+          enable_vertex=True,
       )
 
       self._MarkPushed(

tfx/extensions/google_cloud_ai_platform/pusher/executor_test.py

@@ -237,7 +237,8 @@ def testDoBlessed_Vertex(self, mock_runner):
         ai_platform_serving_args=mock.ANY,
         labels=job_labels,
         serving_path=self._model_push.uri,
-        endpoint_region='us-central1'
+        endpoint_region='us-central1',
+        enable_vertex=True,
     )
     self.assertPushed()
     self.assertEqual(
@@ -286,7 +287,8 @@ def testDoBlessedOnRegionalEndpoint_Vertex(self, mock_runner):
         ai_platform_serving_args=mock.ANY,
         labels=job_labels,
         serving_container_image_uri=self._container_image_uri_vertex,
-        endpoint_region='us-west1'
+        endpoint_region='us-west1',
+        enable_vertex=True,
     )
     self.assertPushed()
     self.assertEqual(

tfx/version.py

@@ -14,4 +14,4 @@
 """Contains the version string of TFX."""
 
 # Note that setup.py uses this version.
-__version__ = '1.3.0'
+__version__ = '1.3.1'