kubeflow · k8s-ci-robot · Apr 4, 2019 · Apr 4, 2019 · Apr 4, 2019
diff --git a/components/dataflow/predict/component.yaml b/components/dataflow/predict/component.yaml
@@ -15,7 +15,7 @@ outputs:
   - {name: Predictions dir,     type: GCPPath,  description: 'GCS or local directory.'} #Will contain prediction_results-* and schema.json files; TODO: Split outputs and replace dir with single file # type: {GCSPath: {path_type: Directory}}
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tf-predict:2c2445df83fa879387a200747cc20f72a7ee9727
+    image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tf-predict:a277f87ea1d4707bf860d080d06639b7caf9a1cf
     command: [python2, /ml/predict.py]
     args: [
       --data,       {inputValue: Data file pattern},

diff --git a/components/dataflow/tfdv/component.yaml b/components/dataflow/tfdv/component.yaml
@@ -18,7 +18,7 @@ outputs:
 - {name: Validation result, type: String,                       description: Indicates whether anomalies were detected or not.}
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tfdv:2c2445df83fa879387a200747cc20f72a7ee9727
+    image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tfdv:a277f87ea1d4707bf860d080d06639b7caf9a1cf
     command: [python2, /ml/validate.py]
     args: [
       --csv-data-for-inference, {inputValue: Inference data},

diff --git a/components/dataflow/tfma/component.yaml b/components/dataflow/tfma/component.yaml
@@ -17,7 +17,7 @@ outputs:
 - {name: Analysis results dir, type: GCPPath,   description: GCS or local directory where the analysis results should were written.} # type: {GCSPath: {path_type: Directory}}
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tfma:2c2445df83fa879387a200747cc20f72a7ee9727
+    image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tfma:a277f87ea1d4707bf860d080d06639b7caf9a1cf
     command: [python2, /ml/model_analysis.py]
     args: [
       --model,    {inputValue: Model},

diff --git a/components/dataflow/tft/component.yaml b/components/dataflow/tft/component.yaml
@@ -12,7 +12,7 @@ outputs:
   - {name: Transformed data dir,          type: GCPPath} # type: {GCSPath: {path_type: Directory}}
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tft:2c2445df83fa879387a200747cc20f72a7ee9727
+    image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tft:a277f87ea1d4707bf860d080d06639b7caf9a1cf
     command: [python2, /ml/transform.py]
     args: [
       --train,   {inputValue: Training data file pattern},

diff --git a/components/gcp/bigquery/query/component.yaml b/components/gcp/bigquery/query/component.yaml
@@ -50,7 +50,7 @@ outputs:
     type: GCSPath
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:2c2445df83fa879387a200747cc20f72a7ee9727
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:a277f87ea1d4707bf860d080d06639b7caf9a1cf
     args: [
       kfp_component.google.bigquery, query,
       --query, {inputValue: query},

diff --git a/components/gcp/dataflow/launch_python/component.yaml b/components/gcp/dataflow/launch_python/component.yaml
@@ -48,7 +48,7 @@ outputs:
     type: String
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:2c2445df83fa879387a200747cc20f72a7ee9727
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:a277f87ea1d4707bf860d080d06639b7caf9a1cf
     args: [
       kfp_component.google.dataflow, launch_python,
       --python_file_path, {inputValue: python_file_path},

diff --git a/components/gcp/dataflow/launch_template/component.yaml b/components/gcp/dataflow/launch_template/component.yaml
@@ -58,7 +58,7 @@ outputs:
     type: String
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:2c2445df83fa879387a200747cc20f72a7ee9727
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:a277f87ea1d4707bf860d080d06639b7caf9a1cf
     args: [
       kfp_component.google.dataflow, launch_template,
       --project_id, {inputValue: project_id},

diff --git a/components/gcp/dataproc/create_cluster/component.yaml b/components/gcp/dataproc/create_cluster/component.yaml
@@ -65,7 +65,7 @@ outputs:
     type: String
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:2c2445df83fa879387a200747cc20f72a7ee9727
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:a277f87ea1d4707bf860d080d06639b7caf9a1cf
     args: [
       kfp_component.google.dataproc, create_cluster,
       --project_id, {inputValue: project_id},

diff --git a/components/gcp/dataproc/delete_cluster/component.yaml b/components/gcp/dataproc/delete_cluster/component.yaml
@@ -33,7 +33,7 @@ inputs:
     type: Integer
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:2c2445df83fa879387a200747cc20f72a7ee9727
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:a277f87ea1d4707bf860d080d06639b7caf9a1cf
     args: [
       kfp_component.google.dataproc, delete_cluster,
       --project_id, {inputValue: project_id},

diff --git a/components/gcp/dataproc/submit_hadoop_job/component.yaml b/components/gcp/dataproc/submit_hadoop_job/component.yaml
@@ -75,7 +75,7 @@ outputs:
     type: String
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:2c2445df83fa879387a200747cc20f72a7ee9727
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:a277f87ea1d4707bf860d080d06639b7caf9a1cf
     args: [
       kfp_component.google.dataproc, submit_hadoop_job,
       --project_id, {inputValue: project_id},

diff --git a/components/gcp/dataproc/submit_hive_job/component.yaml b/components/gcp/dataproc/submit_hive_job/component.yaml
@@ -70,7 +70,7 @@ outputs:
     type: String
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:2c2445df83fa879387a200747cc20f72a7ee9727
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:a277f87ea1d4707bf860d080d06639b7caf9a1cf
     args: [
       kfp_component.google.dataproc, submit_hive_job,
       --project_id, {inputValue: project_id},

diff --git a/components/gcp/dataproc/submit_pig_job/component.yaml b/components/gcp/dataproc/submit_pig_job/component.yaml
@@ -70,7 +70,7 @@ outputs:
     type: String
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:2c2445df83fa879387a200747cc20f72a7ee9727
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:a277f87ea1d4707bf860d080d06639b7caf9a1cf
     args: [
       kfp_component.google.dataproc, submit_pig_job,
       --project_id, {inputValue: project_id},

diff --git a/components/gcp/dataproc/submit_pyspark_job/component.yaml b/components/gcp/dataproc/submit_pyspark_job/component.yaml
@@ -64,7 +64,7 @@ outputs:
     type: String
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:2c2445df83fa879387a200747cc20f72a7ee9727
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:a277f87ea1d4707bf860d080d06639b7caf9a1cf
     args: [
       kfp_component.google.dataproc, submit_pyspark_job,
       --project_id, {inputValue: project_id},

diff --git a/components/gcp/dataproc/submit_spark_job/component.yaml b/components/gcp/dataproc/submit_spark_job/component.yaml
@@ -71,7 +71,7 @@ outputs:
     type: String
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:2c2445df83fa879387a200747cc20f72a7ee9727
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:a277f87ea1d4707bf860d080d06639b7caf9a1cf
     args: [
       kfp_component.google.dataproc, submit_spark_job,
       --project_id, {inputValue: project_id},

diff --git a/components/gcp/dataproc/submit_sparksql_job/component.yaml b/components/gcp/dataproc/submit_sparksql_job/component.yaml
@@ -70,7 +70,7 @@ outputs:
     type: String
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:2c2445df83fa879387a200747cc20f72a7ee9727
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:a277f87ea1d4707bf860d080d06639b7caf9a1cf
     args: [
       kfp_component.google.dataproc, submit_sparksql_job,
       --project_id, {inputValue: project_id},

diff --git a/components/gcp/ml_engine/batch_predict/component.yaml b/components/gcp/ml_engine/batch_predict/component.yaml
@@ -64,7 +64,7 @@ outputs:
     type: String
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:2c2445df83fa879387a200747cc20f72a7ee9727
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:a277f87ea1d4707bf860d080d06639b7caf9a1cf
     args: [
       kfp_component.google.ml_engine, batch_predict,
       --project_id, {inputValue: project_id},

diff --git a/components/gcp/ml_engine/deploy/component.yaml b/components/gcp/ml_engine/deploy/component.yaml
@@ -79,7 +79,7 @@ outputs:
     type: String
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:2c2445df83fa879387a200747cc20f72a7ee9727
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:a277f87ea1d4707bf860d080d06639b7caf9a1cf
     args: [
       kfp_component.google.ml_engine, deploy,
       --model_uri, {inputValue: model_uri},

diff --git a/components/gcp/ml_engine/train/component.yaml b/components/gcp/ml_engine/train/component.yaml
@@ -91,7 +91,7 @@ outputs:
     type: GCSPath
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:2c2445df83fa879387a200747cc20f72a7ee9727
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:a277f87ea1d4707bf860d080d06639b7caf9a1cf
     args: [
       kfp_component.google.ml_engine, train,
       --project_id, {inputValue: project_id},

diff --git a/components/kubeflow/deployer/component.yaml b/components/kubeflow/deployer/component.yaml
@@ -10,7 +10,7 @@ inputs:
 #  - {name: Endppoint URI, type: Serving URI,                      description: 'URI of the deployed prediction service..'}
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-deployer:2c2445df83fa879387a200747cc20f72a7ee9727
+    image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-deployer:a277f87ea1d4707bf860d080d06639b7caf9a1cf
     command: [/bin/deploy.sh]
     args: [
       --model-export-path,  {inputValue: Model dir},

diff --git a/components/kubeflow/dnntrainer/component.yaml b/components/kubeflow/dnntrainer/component.yaml
@@ -15,7 +15,7 @@ outputs:
   - {name: Training output dir,   type: GCPPath,  description: 'GCS or local directory.'} # type: {GCSPath: {path_type: Directory}}
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:2c2445df83fa879387a200747cc20f72a7ee9727
+    image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:a277f87ea1d4707bf860d080d06639b7caf9a1cf
     command: [python2, -m, trainer.task]
     args: [
       --transformed-data-dir, {inputValue: Transformed data dir},

diff --git a/components/kubeflow/launcher/kubeflow_tfjob_launcher_op.py b/components/kubeflow/launcher/kubeflow_tfjob_launcher_op.py
@@ -17,7 +17,7 @@
 def kubeflow_tfjob_launcher_op(container_image, command, number_of_workers: int, number_of_parameter_servers: int, tfjob_timeout_minutes: int, output_dir=None, step_name='TFJob-launcher'):
     return dsl.ContainerOp(
         name = step_name,
-        image = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf:2c2445df83fa879387a200747cc20f72a7ee9727',
+        image = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf:a277f87ea1d4707bf860d080d06639b7caf9a1cf',
         arguments = [
             '--workers', number_of_workers,
             '--pss', number_of_parameter_servers,

diff --git a/components/kubeflow/launcher/src/train.template.yaml b/components/kubeflow/launcher/src/train.template.yaml
@@ -26,7 +26,7 @@ spec:
         spec:
           containers:
           - name: tensorflow
-            image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:2c2445df83fa879387a200747cc20f72a7ee9727
+            image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:a277f87ea1d4707bf860d080d06639b7caf9a1cf
             command:
               - python
               - -m
@@ -49,7 +49,7 @@ spec:
         spec:
           containers:
           - name: tensorflow
-            image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:2c2445df83fa879387a200747cc20f72a7ee9727
+            image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:a277f87ea1d4707bf860d080d06639b7caf9a1cf
             command:
               - python
               - -m
@@ -72,7 +72,7 @@ spec:
             spec:
               containers:
               - name: tensorflow
-                image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:2c2445df83fa879387a200747cc20f72a7ee9727
+                image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:a277f87ea1d4707bf860d080d06639b7caf9a1cf
                 command:
                   - python
                   - -m

diff --git a/components/local/confusion_matrix/component.yaml b/components/local/confusion_matrix/component.yaml
@@ -8,7 +8,7 @@ inputs:
 #  - {name: Metrics,         type: Metrics}
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-local-confusion-matrix:2c2445df83fa879387a200747cc20f72a7ee9727
+    image: gcr.io/ml-pipeline/ml-pipeline-local-confusion-matrix:a277f87ea1d4707bf860d080d06639b7caf9a1cf
     command: [python2, /ml/confusion_matrix.py]
     args: [
       --predictions, {inputValue: Predictions},

diff --git a/components/local/roc/component.yaml b/components/local/roc/component.yaml
@@ -11,7 +11,7 @@ inputs:
 #  - {name: Metrics,           type: Metrics}
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-local-confusion-matrix:2c2445df83fa879387a200747cc20f72a7ee9727
+    image: gcr.io/ml-pipeline/ml-pipeline-local-confusion-matrix:a277f87ea1d4707bf860d080d06639b7caf9a1cf
     command: [python2, /ml/confusion_matrix.py]
     args: [
       --predictions,        {inputValue: Predictions dir},

diff --git a/samples/kubeflow-tf/kubeflow-training-classification.py b/samples/kubeflow-tf/kubeflow-training-classification.py
@@ -66,7 +66,7 @@ def kubeflow_training(output, project,
   ).apply(gcp.use_gcp_secret('user-gcp-sa'))
 
   if use_gpu:
-    training.image = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer-gpu:2c2445df83fa879387a200747cc20f72a7ee9727',
+    training.image = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer-gpu:a277f87ea1d4707bf860d080d06639b7caf9a1cf',
     training.set_gpu_limit(1)
 
   prediction = dataflow_tf_predict_op(

diff --git a/samples/notebooks/KubeFlow Pipeline Using TFX OSS Components.ipynb b/samples/notebooks/KubeFlow Pipeline Using TFX OSS Components.ipynb
@@ -44,13 +44,13 @@
     "EVAL_DATA = 'gs://ml-pipeline-playground/tfx/taxi-cab-classification/eval.csv'\n",
     "HIDDEN_LAYER_SIZE = '1500'\n",
     "STEPS = 3000\n",
-    "DATAFLOW_TFDV_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tfdv:2c2445df83fa879387a200747cc20f72a7ee9727'\n",
-    "DATAFLOW_TFT_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tft:2c2445df83fa879387a200747cc20f72a7ee9727'\n",
-    "DATAFLOW_TFMA_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tfma:2c2445df83fa879387a200747cc20f72a7ee9727'\n",
-    "DATAFLOW_TF_PREDICT_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tf-predict:2c2445df83fa879387a200747cc20f72a7ee9727'\n",
-    "KUBEFLOW_TF_TRAINER_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:2c2445df83fa879387a200747cc20f72a7ee9727'\n",
-    "KUBEFLOW_TF_TRAINER_GPU_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer-gpu:2c2445df83fa879387a200747cc20f72a7ee9727'\n",
-    "KUBEFLOW_DEPLOYER_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-deployer:2c2445df83fa879387a200747cc20f72a7ee9727'\n",
+    "DATAFLOW_TFDV_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tfdv:a277f87ea1d4707bf860d080d06639b7caf9a1cf'\n",
+    "DATAFLOW_TFT_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tft:a277f87ea1d4707bf860d080d06639b7caf9a1cf'\n",
+    "DATAFLOW_TFMA_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tfma:a277f87ea1d4707bf860d080d06639b7caf9a1cf'\n",
+    "DATAFLOW_TF_PREDICT_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tf-predict:a277f87ea1d4707bf860d080d06639b7caf9a1cf'\n",
+    "KUBEFLOW_TF_TRAINER_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:a277f87ea1d4707bf860d080d06639b7caf9a1cf'\n",
+    "KUBEFLOW_TF_TRAINER_GPU_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer-gpu:a277f87ea1d4707bf860d080d06639b7caf9a1cf'\n",
+    "KUBEFLOW_DEPLOYER_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-deployer:a277f87ea1d4707bf860d080d06639b7caf9a1cf'\n",
     "DEPLOYER_MODEL = 'notebook_tfx_taxi'\n",
     "DEPLOYER_VERSION_DEV = 'dev'\n",
     "DEPLOYER_VERSION_PROD = 'prod'\n",

diff --git a/samples/resnet-cmle/resnet-train-pipeline.py b/samples/resnet-cmle/resnet-train-pipeline.py
@@ -22,7 +22,7 @@ def resnet_preprocess_op(project_id: 'GcpProject', output: 'GcsUri', train_csv:
                          validation_csv: 'GcsUri[text/csv]', labels, step_name='preprocess'):
     return dsl.ContainerOp(
         name = step_name,
-        image = 'gcr.io/ml-pipeline/resnet-preprocess:2c2445df83fa879387a200747cc20f72a7ee9727',
+        image = 'gcr.io/ml-pipeline/resnet-preprocess:a277f87ea1d4707bf860d080d06639b7caf9a1cf',
         arguments = [
             '--project_id', project_id,
             '--output', output,
@@ -38,7 +38,7 @@ def resnet_train_op(data_dir, output: 'GcsUri', region: 'GcpRegion', depth: int,
                     num_eval_images: int, num_label_classes: int, tf_version, step_name='train'):
     return dsl.ContainerOp(
         name = step_name,
-        image = 'gcr.io/ml-pipeline/resnet-train:2c2445df83fa879387a200747cc20f72a7ee9727',
+        image = 'gcr.io/ml-pipeline/resnet-train:a277f87ea1d4707bf860d080d06639b7caf9a1cf',
         arguments = [
             '--data_dir', data_dir,
             '--output', output,
@@ -60,7 +60,7 @@ def resnet_deploy_op(model_dir, model, version, project_id: 'GcpProject', region
                      tf_version, step_name='deploy'):
     return dsl.ContainerOp(
         name = step_name,
-        image = 'gcr.io/ml-pipeline/resnet-deploy:2c2445df83fa879387a200747cc20f72a7ee9727',
+        image = 'gcr.io/ml-pipeline/resnet-deploy:a277f87ea1d4707bf860d080d06639b7caf9a1cf',
         arguments = [
             '--model', model,
             '--version', version,

diff --git a/samples/tfx/taxi-cab-classification-pipeline.py b/samples/tfx/taxi-cab-classification-pipeline.py
@@ -21,7 +21,7 @@
 def dataflow_tf_data_validation_op(inference_data: 'GcsUri', validation_data: 'GcsUri', column_names: 'GcsUri[text/json]', key_columns, project: 'GcpProject', mode, validation_output: 'GcsUri[Directory]', step_name='validation'):
     return dsl.ContainerOp(
         name = step_name,
-        image = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tfdv:2c2445df83fa879387a200747cc20f72a7ee9727',
+        image = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tfdv:a277f87ea1d4707bf860d080d06639b7caf9a1cf',
         arguments = [
             '--csv-data-for-inference', inference_data,
             '--csv-data-to-validate', validation_data,
@@ -40,7 +40,7 @@ def dataflow_tf_data_validation_op(inference_data: 'GcsUri', validation_data: 'G
 def dataflow_tf_transform_op(train_data: 'GcsUri', evaluation_data: 'GcsUri', schema: 'GcsUri[text/json]', project: 'GcpProject', preprocess_mode, preprocess_module: 'GcsUri[text/code/python]', transform_output: 'GcsUri[Directory]', step_name='preprocess'):
     return dsl.ContainerOp(
         name = step_name,
-        image = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tft:2c2445df83fa879387a200747cc20f72a7ee9727',
+        image = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tft:a277f87ea1d4707bf860d080d06639b7caf9a1cf',
         arguments = [
             '--train', train_data,
             '--eval', evaluation_data,
@@ -57,7 +57,7 @@ def dataflow_tf_transform_op(train_data: 'GcsUri', evaluation_data: 'GcsUri', sc
 def tf_train_op(transformed_data_dir, schema: 'GcsUri[text/json]', learning_rate: float, hidden_layer_size: int, steps: int, target: str, preprocess_module: 'GcsUri[text/code/python]', training_output: 'GcsUri[Directory]', step_name='training'):
     return dsl.ContainerOp(
         name = step_name,
-        image = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:2c2445df83fa879387a200747cc20f72a7ee9727',
+        image = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:a277f87ea1d4707bf860d080d06639b7caf9a1cf',
         arguments = [
             '--transformed-data-dir', transformed_data_dir,
             '--schema', schema,
@@ -74,7 +74,7 @@ def tf_train_op(transformed_data_dir, schema: 'GcsUri[text/json]', learning_rate
 def dataflow_tf_model_analyze_op(model: 'TensorFlow model', evaluation_data: 'GcsUri', schema: 'GcsUri[text/json]', project: 'GcpProject', analyze_mode, analyze_slice_column, analysis_output: 'GcsUri', step_name='analysis'):
     return dsl.ContainerOp(
         name = step_name,
-        image = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tfma:2c2445df83fa879387a200747cc20f72a7ee9727',
+        image = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tfma:a277f87ea1d4707bf860d080d06639b7caf9a1cf',
         arguments = [
             '--model', model,
             '--eval', evaluation_data,
@@ -91,7 +91,7 @@ def dataflow_tf_model_analyze_op(model: 'TensorFlow model', evaluation_data: 'Gc
 def dataflow_tf_predict_op(evaluation_data: 'GcsUri', schema: 'GcsUri[text/json]', target: str, model: 'TensorFlow model', predict_mode, project: 'GcpProject', prediction_output: 'GcsUri', step_name='prediction'):
     return dsl.ContainerOp(
         name = step_name,
-        image = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tf-predict:2c2445df83fa879387a200747cc20f72a7ee9727',
+        image = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tf-predict:a277f87ea1d4707bf860d080d06639b7caf9a1cf',
         arguments = [
             '--data', evaluation_data,
             '--schema', schema,
@@ -108,7 +108,7 @@ def dataflow_tf_predict_op(evaluation_data: 'GcsUri', schema: 'GcsUri[text/json]
 def confusion_matrix_op(predictions: 'GcsUri', output: 'GcsUri', step_name='confusion_matrix'):
   return dsl.ContainerOp(
       name=step_name,
-      image='gcr.io/ml-pipeline/ml-pipeline-local-confusion-matrix:2c2445df83fa879387a200747cc20f72a7ee9727',
+      image='gcr.io/ml-pipeline/ml-pipeline-local-confusion-matrix:a277f87ea1d4707bf860d080d06639b7caf9a1cf',
       arguments=[
         '--output', '%s/{{workflow.name}}/confusionmatrix' % output,
         '--predictions', predictions,
@@ -119,7 +119,7 @@ def confusion_matrix_op(predictions: 'GcsUri', output: 'GcsUri', step_name='conf
 def roc_op(predictions: 'GcsUri', output: 'GcsUri', step_name='roc'):
   return dsl.ContainerOp(
       name=step_name,
-      image='gcr.io/ml-pipeline/ml-pipeline-local-roc:2c2445df83fa879387a200747cc20f72a7ee9727',
+      image='gcr.io/ml-pipeline/ml-pipeline-local-roc:a277f87ea1d4707bf860d080d06639b7caf9a1cf',
       arguments=[
         '--output', '%s/{{workflow.name}}/roc' % output,
         '--predictions', predictions,
@@ -130,7 +130,7 @@ def roc_op(predictions: 'GcsUri', output: 'GcsUri', step_name='roc'):
 def kubeflow_deploy_op(model: 'TensorFlow model', tf_server_name, step_name='deploy'):
     return dsl.ContainerOp(
         name = step_name,
-        image = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-deployer:2c2445df83fa879387a200747cc20f72a7ee9727',
+        image = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-deployer:a277f87ea1d4707bf860d080d06639b7caf9a1cf',
         arguments = [
             '--model-export-path', '%s/export/export' % model,
             '--server-name', tf_server_name