chore(components): Bump image version for Structured Data pipelines

Signed-off-by: Googler <nobody@google.com> PiperOrigin-RevId: 699072053
kubeflow · Nov 26, 2024 · 8136f76 · 8136f76
1 parent 35793be
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Showing 42 changed files with 448 additions and 447 deletions.
diff --git a/components/google-cloud/RELEASE.md b/components/google-cloud/RELEASE.md
@@ -6,6 +6,7 @@
 * Update Docker image.
 * Bump supported KFP versions to `kfp>=2.6.0,<2.11.0`.
 * Support Python versions 3.12 and 3.13.
+* Bump image for Structured Data pipelines.
 
 ## Release 2.17.0
 * Fix Gemini batch prediction support to `v1.model_evaluation.autosxs_pipeline` after output schema change.

diff --git a/...cloud/google_cloud_pipeline_components/preview/automl/forecasting/forecasting_ensemble.py b/...cloud/google_cloud_pipeline_components/preview/automl/forecasting/forecasting_ensemble.py
@@ -72,7 +72,7 @@ def automl_forecasting_ensemble(
   # fmt: on
   job_id = dsl.PIPELINE_JOB_ID_PLACEHOLDER
   task_id = dsl.PIPELINE_TASK_ID_PLACEHOLDER
-  image_uri = 'us-docker.pkg.dev/vertex-ai-restricted/automl-tabular/forecasting-training:20240808_0625'
+  image_uri = 'us-docker.pkg.dev/vertex-ai-restricted/automl-tabular/forecasting-training:20241121_0625'
   display_name = f'automl-forecasting-ensemble-{job_id}-{task_id}'
 
   error_file_path = f'{root_dir}/{job_id}/{task_id}/error.pb'

diff --git a/.../google_cloud_pipeline_components/preview/automl/forecasting/forecasting_stage_1_tuner.py b/.../google_cloud_pipeline_components/preview/automl/forecasting/forecasting_stage_1_tuner.py
@@ -99,14 +99,14 @@ def automl_forecasting_stage_1_tuner(
                       ' 1, "machine_spec": {"machine_type": "n1-standard-8"},'
                       ' "container_spec": {"image_uri":"'
                   ),
-                  'us-docker.pkg.dev/vertex-ai-restricted/automl-tabular/forecasting-training:20240808_0625',
+                  'us-docker.pkg.dev/vertex-ai-restricted/automl-tabular/forecasting-training:20241121_0625',
                   '", "args": ["forecasting_mp_l2l_stage_1_tuner',
                   '", "--region=',
                   location,
                   '", "--transform_output_path=',
                   transform_output.uri,
                   '", "--training_docker_uri=',
-                  'us-docker.pkg.dev/vertex-ai-restricted/automl-tabular/forecasting-training:20240808_0625',
+                  'us-docker.pkg.dev/vertex-ai-restricted/automl-tabular/forecasting-training:20241121_0625',
                   '", "--reduce_search_space_mode=',
                   reduce_search_space_mode,
                   f'", "--component_id={dsl.PIPELINE_TASK_ID_PLACEHOLDER}',

diff --git a/.../google_cloud_pipeline_components/preview/automl/forecasting/forecasting_stage_2_tuner.py b/.../google_cloud_pipeline_components/preview/automl/forecasting/forecasting_stage_2_tuner.py
@@ -97,14 +97,14 @@ def automl_forecasting_stage_2_tuner(
                       ' 1, "machine_spec": {"machine_type": "n1-standard-8"},'
                       ' "container_spec": {"image_uri":"'
                   ),
-                  'us-docker.pkg.dev/vertex-ai-restricted/automl-tabular/forecasting-training:20240808_0625',
+                  'us-docker.pkg.dev/vertex-ai-restricted/automl-tabular/forecasting-training:20241121_0625',
                   '", "args": ["forecasting_mp_l2l_stage_2_tuner',
                   '", "--region=',
                   location,
                   '", "--transform_output_path=',
                   transform_output.uri,
                   '", "--training_docker_uri=',
-                  'us-docker.pkg.dev/vertex-ai-restricted/automl-tabular/forecasting-training:20240808_0625',
+                  'us-docker.pkg.dev/vertex-ai-restricted/automl-tabular/forecasting-training:20241121_0625',
                   f'", "--component_id={dsl.PIPELINE_TASK_ID_PLACEHOLDER}',
                   '", "--training_base_dir=',
                   root_dir,

diff --git a/...d_pipeline_components/preview/automl/forecasting/learn_to_learn_forecasting_pipeline.yaml b/...d_pipeline_components/preview/automl/forecasting/learn_to_learn_forecasting_pipeline.yaml
diff --git a/...line_components/preview/automl/forecasting/sequence_to_sequence_forecasting_pipeline.yaml b/...line_components/preview/automl/forecasting/sequence_to_sequence_forecasting_pipeline.yaml
diff --git a/...mponents/preview/automl/forecasting/temporal_fusion_transformer_forecasting_pipeline.yaml b/...mponents/preview/automl/forecasting/temporal_fusion_transformer_forecasting_pipeline.yaml
diff --git a/...components/preview/automl/forecasting/time_series_dense_encoder_forecasting_pipeline.yaml b/...components/preview/automl/forecasting/time_series_dense_encoder_forecasting_pipeline.yaml
diff --git a/...cloud/google_cloud_pipeline_components/preview/automl/tabular/auto_feature_engineering.py b/...cloud/google_cloud_pipeline_components/preview/automl/tabular/auto_feature_engineering.py
@@ -65,7 +65,7 @@ def automated_feature_engineering(
                       ' 1, "machine_spec": {"machine_type": "n1-standard-16"},'
                       ' "container_spec": {"image_uri":"'
                   ),
-                  'us-docker.pkg.dev/vertex-ai-restricted/automl-tabular/training:20240808_0625',
+                  'us-docker.pkg.dev/vertex-ai-restricted/automl-tabular/training:20241121_0625',
                   '", "args": ["feature_engineering", "--project=', project,
                   '", "--location=', location, '", "--data_source_bigquery_table_path=',
                   data_source_bigquery_table_path,

diff --git a/...pipeline_components/preview/automl/tabular/automl_tabular_feature_selection_pipeline.yaml b/...pipeline_components/preview/automl/tabular/automl_tabular_feature_selection_pipeline.yaml
diff --git a/...d/google_cloud_pipeline_components/preview/automl/tabular/automl_tabular_v2_pipeline.yaml b/...d/google_cloud_pipeline_components/preview/automl/tabular/automl_tabular_v2_pipeline.yaml
diff --git a/...pipeline_components/preview/automl/tabular/distillation_stage_feature_transform_engine.py b/...pipeline_components/preview/automl/tabular/distillation_stage_feature_transform_engine.py
@@ -77,7 +77,7 @@ def distillation_stage_feature_transform_engine(
   # fmt: on
 
   return dsl.ContainerSpec(
-      image='us-docker.pkg.dev/vertex-ai/automl-tabular/feature-transform-engine:20240808_0625',
+      image='us-docker.pkg.dev/vertex-ai/automl-tabular/feature-transform-engine:20241121_0625',
       command=[],
       args=[
           'distillation_stage_feature_transform_engine',
@@ -185,7 +185,7 @@ def distillation_stage_feature_transform_engine(
                   dataflow_machine_type,
               ]
           ),
-          '--dataflow_worker_container_image=us-docker.pkg.dev/vertex-ai/automl-tabular/dataflow-worker:20240808_0625',
+          '--dataflow_worker_container_image=us-docker.pkg.dev/vertex-ai/automl-tabular/dataflow-worker:20241121_0625',
           dsl.ConcatPlaceholder(
               items=[
                   '--dataflow_disk_size_gb=',

diff --git a/...google-cloud/google_cloud_pipeline_components/preview/automl/tabular/feature_selection.py b/...google-cloud/google_cloud_pipeline_components/preview/automl/tabular/feature_selection.py
@@ -100,7 +100,7 @@ def tabular_feature_ranking_and_selection(
                       ' 1, "machine_spec": {"machine_type": "n1-standard-8"},'
                       ' "container_spec": {"image_uri":"'
                   ),
-                  'us-docker.pkg.dev/vertex-ai-restricted/automl-tabular/training:20240808_0625',
+                  'us-docker.pkg.dev/vertex-ai-restricted/automl-tabular/training:20241121_0625',
                   '", "args": ["feature_selection", "--data_source=',
                   data_source.uri,
                   '", "--target_column=',
@@ -137,7 +137,7 @@ def tabular_feature_ranking_and_selection(
                   ),
                   dataflow_max_num_workers,
                   '", "--dataflow_worker_container_image=',
-                  'us-docker.pkg.dev/vertex-ai/automl-tabular/dataflow-worker:20240808_0625',
+                  'us-docker.pkg.dev/vertex-ai/automl-tabular/dataflow-worker:20241121_0625',
                   '", "--dataflow_machine_type=',
                   dataflow_machine_type,
                   '", "--dataflow_disk_size_gb=',

diff --git a/...d/google_cloud_pipeline_components/preview/automl/tabular/feature_selection_pipeline.yaml b/...d/google_cloud_pipeline_components/preview/automl/tabular/feature_selection_pipeline.yaml
@@ -983,8 +983,8 @@ deploymentSpec:
           "/{{$.pipeline_job_uuid}}/{{$.pipeline_task_uuid}}/dataflow_tmp"]}'
         - '{"Concat": ["--dataflow_max_num_workers=", "{{$.inputs.parameters[''dataflow_max_num_workers'']}}"]}'
         - '{"Concat": ["--dataflow_machine_type=", "{{$.inputs.parameters[''dataflow_machine_type'']}}"]}'
-        - --dataflow_worker_container_image=us-docker.pkg.dev/vertex-ai/automl-tabular/dataflow-worker:20240808_0625
-        - --feature_transform_engine_docker_uri=us-docker.pkg.dev/vertex-ai/automl-tabular/feature-transform-engine:20240808_0625
+        - --dataflow_worker_container_image=us-docker.pkg.dev/vertex-ai/automl-tabular/dataflow-worker:20241121_0625
+        - --feature_transform_engine_docker_uri=us-docker.pkg.dev/vertex-ai/automl-tabular/feature-transform-engine:20241121_0625
         - '{"Concat": ["--dataflow_disk_size_gb=", "{{$.inputs.parameters[''dataflow_disk_size_gb'']}}"]}'
         - '{"Concat": ["--dataflow_subnetwork_fully_qualified=", "{{$.inputs.parameters[''dataflow_subnetwork'']}}"]}'
         - '{"Concat": ["--dataflow_use_public_ips=", "{{$.inputs.parameters[''dataflow_use_public_ips'']}}"]}'
@@ -1001,7 +1001,7 @@ deploymentSpec:
         - '{"IfPresent": {"InputName": "group_temporal_total_weight", "Then": {"Concat":
           ["--group_temporal_total_weight=", "{{$.inputs.parameters[''group_temporal_total_weight'']}}"]}}}'
         - '{"Concat": ["--encryption_spec_key_name=", "{{$.inputs.parameters[''encryption_spec_key_name'']}}"]}'
-        image: us-docker.pkg.dev/vertex-ai/automl-tabular/feature-transform-engine:20240808_0625
+        image: us-docker.pkg.dev/vertex-ai/automl-tabular/feature-transform-engine:20241121_0625
         resources:
           cpuLimit: 8.0
           memoryLimit: 30.0
@@ -1049,7 +1049,7 @@ deploymentSpec:
           ["--temporal_total_weight=", "{{$.inputs.parameters[''temporal_total_weight'']}}"]}}}'
         - '{"IfPresent": {"InputName": "group_temporal_total_weight", "Then": {"Concat":
           ["--group_temporal_total_weight=", "{{$.inputs.parameters[''group_temporal_total_weight'']}}"]}}}'
-        image: us-docker.pkg.dev/vertex-ai/automl-tabular/feature-transform-engine:20240808_0625
+        image: us-docker.pkg.dev/vertex-ai/automl-tabular/feature-transform-engine:20241121_0625
 pipelineInfo:
   description: Defines pipeline for feature transform engine component.
   name: feature-selection

diff --git a/...cloud/google_cloud_pipeline_components/preview/automl/tabular/feature_transform_engine.py b/...cloud/google_cloud_pipeline_components/preview/automl/tabular/feature_transform_engine.py
@@ -308,7 +308,7 @@ def feature_transform_engine(
   # fmt: on
 
   return dsl.ContainerSpec(
-      image='us-docker.pkg.dev/vertex-ai/automl-tabular/feature-transform-engine:20240808_0625',
+      image='us-docker.pkg.dev/vertex-ai/automl-tabular/feature-transform-engine:20241121_0625',
       command=[],
       args=[
           'feature_transform_engine',
@@ -637,8 +637,8 @@ def feature_transform_engine(
           dsl.ConcatPlaceholder(
               items=['--dataflow_machine_type=', dataflow_machine_type]
           ),
-          '--dataflow_worker_container_image=us-docker.pkg.dev/vertex-ai/automl-tabular/dataflow-worker:20240808_0625',
-          '--feature_transform_engine_docker_uri=us-docker.pkg.dev/vertex-ai/automl-tabular/feature-transform-engine:20240808_0625',
+          '--dataflow_worker_container_image=us-docker.pkg.dev/vertex-ai/automl-tabular/dataflow-worker:20241121_0625',
+          '--feature_transform_engine_docker_uri=us-docker.pkg.dev/vertex-ai/automl-tabular/feature-transform-engine:20241121_0625',
           dsl.ConcatPlaceholder(
               items=['--dataflow_disk_size_gb=', dataflow_disk_size_gb]
           ),

diff --git a/...ogle_cloud_pipeline_components/preview/automl/tabular/tabnet_hyperparameter_tuning_job.py b/...ogle_cloud_pipeline_components/preview/automl/tabular/tabnet_hyperparameter_tuning_job.py
@@ -158,15 +158,15 @@ def tabnet_hyperparameter_tuning_job(
                   ', "disk_spec": ',
                   training_disk_spec,
                   ', "container_spec": {"image_uri":"',
-                  'us-docker.pkg.dev/vertex-ai-restricted/automl-tabular/tabnet-training:20240808_0625',
+                  'us-docker.pkg.dev/vertex-ai-restricted/automl-tabular/tabnet-training:20241121_0625',
                   '", "args": ["--target_column=',
                   target_column,
                   '", "--weight_column=',
                   weight_column,
                   '", "--model_type=',
                   prediction_type,
                   '", "--prediction_docker_uri=',
-                  'us-docker.pkg.dev/vertex-ai/automl-tabular/prediction-server:20240808_0625',
+                  'us-docker.pkg.dev/vertex-ai/automl-tabular/prediction-server:20241121_0625',
                   '", "--prediction_docker_uri_artifact_path=',
                   prediction_docker_uri_output,
                   '", "--baseline_path=',

diff --git a/...pipeline_components/preview/automl/tabular/tabnet_hyperparameter_tuning_job_pipeline.yaml b/...pipeline_components/preview/automl/tabular/tabnet_hyperparameter_tuning_job_pipeline.yaml
@@ -2826,7 +2826,7 @@ deploymentSpec:
           \"encryption_spec\": {\"kms_key_name\":\"", "{{$.inputs.parameters[''encryption_spec_key_name'']}}",
           "\"}, \"job_spec\": {\"worker_pool_specs\": [{\"replica_count\": 1, \"machine_spec\":
           {\"machine_type\": \"n1-standard-8\"}, \"container_spec\": {\"image_uri\":\"",
-          "us-docker.pkg.dev/vertex-ai-restricted/automl-tabular/training:20240808_0625", "\",
+          "us-docker.pkg.dev/vertex-ai-restricted/automl-tabular/training:20241121_0625", "\",
           \"args\": [\"cancel_l2l_tuner\", \"--error_file_path=", "{{$.inputs.parameters[''root_dir'']}}",
           "/{{$.pipeline_job_uuid}}/{{$.pipeline_task_uuid}}/error.pb\", \"--cleanup_lro_job_infos=",
           "{{$.inputs.parameters[''root_dir'']}}", "/{{$.pipeline_job_uuid}}/lro\"]}}]}}"]}'
@@ -2841,7 +2841,7 @@ deploymentSpec:
         args:
         - --executor_input
         - '{{$}}'
-        image: us-docker.pkg.dev/vertex-ai/automl-tabular/prediction-server:20240808_0625
+        image: us-docker.pkg.dev/vertex-ai/automl-tabular/prediction-server:20241121_0625
         resources:
           cpuLimit: 8.0
           memoryLimit: 52.0
@@ -2866,7 +2866,7 @@ deploymentSpec:
           \ *\n\ndef _bool_identity(value: bool) -> str:\n  \"\"\"Returns boolean\
           \ value.\n\n  Args:\n    value: Boolean value to return\n\n  Returns:\n\
           \    Boolean value.\n  \"\"\"\n  return 'true' if value else 'false'\n\n"
-        image: us-docker.pkg.dev/vertex-ai/automl-tabular/kfp-v2-base:20240808_0625
+        image: us-docker.pkg.dev/vertex-ai/automl-tabular/kfp-v2-base:20241121_0625
     exec-feature-transform-engine:
       container:
         args:
@@ -2951,8 +2951,8 @@ deploymentSpec:
           "/{{$.pipeline_job_uuid}}/{{$.pipeline_task_uuid}}/dataflow_tmp"]}'
         - '{"Concat": ["--dataflow_max_num_workers=", "{{$.inputs.parameters[''dataflow_max_num_workers'']}}"]}'
         - '{"Concat": ["--dataflow_machine_type=", "{{$.inputs.parameters[''dataflow_machine_type'']}}"]}'
-        - --dataflow_worker_container_image=us-docker.pkg.dev/vertex-ai/automl-tabular/dataflow-worker:20240808_0625
-        - --feature_transform_engine_docker_uri=us-docker.pkg.dev/vertex-ai/automl-tabular/feature-transform-engine:20240808_0625
+        - --dataflow_worker_container_image=us-docker.pkg.dev/vertex-ai/automl-tabular/dataflow-worker:20241121_0625
+        - --feature_transform_engine_docker_uri=us-docker.pkg.dev/vertex-ai/automl-tabular/feature-transform-engine:20241121_0625
         - '{"Concat": ["--dataflow_disk_size_gb=", "{{$.inputs.parameters[''dataflow_disk_size_gb'']}}"]}'
         - '{"Concat": ["--dataflow_subnetwork_fully_qualified=", "{{$.inputs.parameters[''dataflow_subnetwork'']}}"]}'
         - '{"Concat": ["--dataflow_use_public_ips=", "{{$.inputs.parameters[''dataflow_use_public_ips'']}}"]}'
@@ -2969,7 +2969,7 @@ deploymentSpec:
         - '{"IfPresent": {"InputName": "group_temporal_total_weight", "Then": {"Concat":
           ["--group_temporal_total_weight=", "{{$.inputs.parameters[''group_temporal_total_weight'']}}"]}}}'
         - '{"Concat": ["--encryption_spec_key_name=", "{{$.inputs.parameters[''encryption_spec_key_name'']}}"]}'
-        image: us-docker.pkg.dev/vertex-ai/automl-tabular/feature-transform-engine:20240808_0625
+        image: us-docker.pkg.dev/vertex-ai/automl-tabular/feature-transform-engine:20241121_0625
         resources:
           cpuLimit: 8.0
           memoryLimit: 30.0
@@ -3037,7 +3037,7 @@ deploymentSpec:
           \ = {\n      'instanceSchemaUri': instance_schema_uri,\n      'predictionSchemaUri':\
           \ prediction_schema_uri,\n  }\n  unmanaged_container_model.uri = os.path.join(\n\
           \      trials_dir, 'trial_{}'.format(best_trial['id']), 'model'\n  )\n\n"
-        image: us-docker.pkg.dev/vertex-ai/automl-tabular/kfp-v2-base:20240808_0625
+        image: us-docker.pkg.dev/vertex-ai/automl-tabular/kfp-v2-base:20241121_0625
     exec-get-model-display-name:
       container:
         args:
@@ -3064,7 +3064,7 @@ deploymentSpec:
           \n  return collections.namedtuple(\n      'Outputs',\n      [\n        \
           \  'model_display_name',\n      ],\n  )(\n      model_display_name,\n  )\n\
           \n"
-        image: us-docker.pkg.dev/vertex-ai/automl-tabular/kfp-v2-base:20240808_0625
+        image: us-docker.pkg.dev/vertex-ai/automl-tabular/kfp-v2-base:20241121_0625
     exec-get-tabnet-study-spec-parameters:
       container:
         args:
@@ -3580,7 +3580,7 @@ deploymentSpec:
           \ = ', '.join(extra_overrides)\n    warnings.warn(\n        f'The overrides\
           \ {extra_override_str} were not found in the params and '\n        'will\
           \ be ignored.'\n    )\n\n  return study_spec_parameters\n\n"
-        image: us-docker.pkg.dev/vertex-ai/automl-tabular/kfp-v2-base:20240808_0625
+        image: us-docker.pkg.dev/vertex-ai/automl-tabular/kfp-v2-base:20241121_0625
     exec-model-batch-predict:
       container:
         args:
@@ -3821,7 +3821,7 @@ deploymentSpec:
           \   'training_disk_spec',\n          'eval_machine_spec',\n          'eval_replica_count',\n\
           \      ],\n  )(\n      training_machine_spec,\n      training_disk_spec,\n\
           \      eval_machine_spec,\n      eval_replica_count,\n  )\n\n"
-        image: us-docker.pkg.dev/vertex-ai/automl-tabular/kfp-v2-base:20240808_0625
+        image: us-docker.pkg.dev/vertex-ai/automl-tabular/kfp-v2-base:20241121_0625
     exec-set-optional-inputs:
       container:
         args:
@@ -3869,7 +3869,7 @@ deploymentSpec:
           \ 'data_source_csv_filenames',\n          'data_source_bigquery_table_path',\n\
           \      ],\n  )(\n      data_source_csv_filenames,\n      data_source_bigquery_table_path,\n\
           \  )\n\n"
-        image: us-docker.pkg.dev/vertex-ai/automl-tabular/kfp-v2-base:20240808_0625
+        image: us-docker.pkg.dev/vertex-ai/automl-tabular/kfp-v2-base:20241121_0625
     exec-split-materialized-data:
       container:
         args:
@@ -3915,7 +3915,7 @@ deploymentSpec:
           \ 'w') as f:\n    f.write(file_patterns[0])\n\n  with tf.io.gfile.GFile(materialized_eval_split,\
           \ 'w') as f:\n    f.write(file_patterns[1])\n\n  with tf.io.gfile.GFile(materialized_test_split,\
           \ 'w') as f:\n    f.write(file_patterns[2])\n\n"
-        image: us-docker.pkg.dev/vertex-ai/automl-tabular/dataflow-worker:20240808_0625
+        image: us-docker.pkg.dev/vertex-ai/automl-tabular/dataflow-worker:20241121_0625
     exec-tabnet-hyperparameter-tuning-job:
       container:
         args:
@@ -3943,11 +3943,11 @@ deploymentSpec:
           ", \"trial_job_spec\": {\"worker_pool_specs\": [{\"replica_count\":\"",
           "1", "\", \"machine_spec\": ", "{{$.inputs.parameters[''training_machine_spec'']}}",
           ", \"disk_spec\": ", "{{$.inputs.parameters[''training_disk_spec'']}}",
-          ", \"container_spec\": {\"image_uri\":\"", "us-docker.pkg.dev/vertex-ai-restricted/automl-tabular/tabnet-training:20240808_0625",
+          ", \"container_spec\": {\"image_uri\":\"", "us-docker.pkg.dev/vertex-ai-restricted/automl-tabular/tabnet-training:20241121_0625",
           "\", \"args\": [\"--target_column=", "{{$.inputs.parameters[''target_column'']}}",
           "\", \"--weight_column=", "{{$.inputs.parameters[''weight_column'']}}",
           "\", \"--model_type=", "{{$.inputs.parameters[''prediction_type'']}}", "\",
-          \"--prediction_docker_uri=", "us-docker.pkg.dev/vertex-ai/automl-tabular/prediction-server:20240808_0625",
+          \"--prediction_docker_uri=", "us-docker.pkg.dev/vertex-ai/automl-tabular/prediction-server:20241121_0625",
           "\", \"--prediction_docker_uri_artifact_path=", "{{$.outputs.parameters[''prediction_docker_uri_output''].output_file}}",
           "\", \"--baseline_path=", "{{$.inputs.artifacts[''instance_baseline''].uri}}",
           "\", \"--metadata_path=", "{{$.inputs.artifacts[''metadata''].uri}}", "\",
@@ -4016,7 +4016,7 @@ deploymentSpec:
           ["--temporal_total_weight=", "{{$.inputs.parameters[''temporal_total_weight'']}}"]}}}'
         - '{"IfPresent": {"InputName": "group_temporal_total_weight", "Then": {"Concat":
           ["--group_temporal_total_weight=", "{{$.inputs.parameters[''group_temporal_total_weight'']}}"]}}}'
-        image: us-docker.pkg.dev/vertex-ai/automl-tabular/feature-transform-engine:20240808_0625
+        image: us-docker.pkg.dev/vertex-ai/automl-tabular/feature-transform-engine:20241121_0625
 pipelineInfo:
   description: The TabNet built-in algorithm HyperparameterTuningJob pipeline.
   name: automl-tabular-tabnet-hyperparameter-tuning-job

diff --git a/...ts/google-cloud/google_cloud_pipeline_components/preview/automl/tabular/tabnet_trainer.py b/...ts/google-cloud/google_cloud_pipeline_components/preview/automl/tabular/tabnet_trainer.py
@@ -165,15 +165,15 @@ def tabnet_trainer(
                   ', "disk_spec": ',
                   training_disk_spec,
                   ', "container_spec": {"image_uri":"',
-                  'us-docker.pkg.dev/vertex-ai-restricted/automl-tabular/tabnet-training:20240808_0625',
+                  'us-docker.pkg.dev/vertex-ai-restricted/automl-tabular/tabnet-training:20241121_0625',
                   '", "args": ["--target_column=',
                   target_column,
                   '", "--weight_column=',
                   weight_column,
                   '", "--model_type=',
                   prediction_type,
                   '", "--prediction_docker_uri=',
-                  'us-docker.pkg.dev/vertex-ai/automl-tabular/prediction-server:20240808_0625',
+                  'us-docker.pkg.dev/vertex-ai/automl-tabular/prediction-server:20241121_0625',
                   '", "--baseline_path=',
                   instance_baseline.uri,
                   '", "--metadata_path=',