feat: batch_predict method generally-available at TextEmbeddingModel.

FUTURE_COPYBARA_INTEGRATE_REVIEW=#4425 from googleapis:release-please--branches--main 292499f
PiperOrigin-RevId: 676292399

tests/unit/aiplatform/test_language_models.py

@@ -4739,6 +4739,40 @@ def test_batch_prediction_for_code_generation(self):
             )
 
     def test_batch_prediction_for_text_embedding(self):
+        """Tests batch prediction."""
+        aiplatform.init(
+            project=_TEST_PROJECT,
+            location=_TEST_LOCATION,
+        )
+        with mock.patch.object(
+            target=model_garden_service_client.ModelGardenServiceClient,
+            attribute="get_publisher_model",
+            return_value=gca_publisher_model.PublisherModel(
+                _TEXT_EMBEDDING_GECKO_PUBLISHER_MODEL_DICT
+            ),
+        ):
+            model = language_models.TextEmbeddingModel.from_pretrained(
+                "textembedding-gecko@001"
+            )
+
+        with mock.patch.object(
+            target=aiplatform.BatchPredictionJob,
+            attribute="create",
+        ) as mock_create:
+            model.batch_predict(
+                dataset="gs://test-bucket/test_table.jsonl",
+                destination_uri_prefix="gs://test-bucket/results/",
+                model_parameters={},
+            )
+            mock_create.assert_called_once_with(
+                model_name=f"projects/{_TEST_PROJECT}/locations/{_TEST_LOCATION}/publishers/google/models/textembedding-gecko@001",
+                job_display_name=None,
+                gcs_source="gs://test-bucket/test_table.jsonl",
+                gcs_destination_prefix="gs://test-bucket/results/",
+                model_parameters={},
+            )
+
+    def test_batch_prediction_for_text_embedding_preview(self):
         """Tests batch prediction."""
         aiplatform.init(
             project=_TEST_PROJECT,

vertexai/language_models/_language_models.py

@@ -2421,6 +2421,7 @@ class _TunableTextEmbeddingModelMixin(_PreviewTunableTextEmbeddingModelMixin):
 
 class TextEmbeddingModel(
     _TextEmbeddingModel,
+    _ModelWithBatchPredict,
     _TunableTextEmbeddingModelMixin,
     _CountTokensMixin,
 ):
@@ -2430,8 +2431,8 @@ class TextEmbeddingModel(
 class _PreviewTextEmbeddingModel(
     _TextEmbeddingModel,
     _ModelWithBatchPredict,
-    _CountTokensMixin,
     _PreviewTunableTextEmbeddingModelMixin,
+    _CountTokensMixin,
 ):
     __name__ = "TextEmbeddingModel"
     __module__ = "vertexai.preview.language_models"