kubeflow · k8s-ci-robot · May 3, 2019 · May 3, 2019
diff --git a/component_sdk/python/setup.py b/component_sdk/python/setup.py
@@ -15,7 +15,7 @@
 from setuptools import setup
 
 PACKAGE_NAME = "kfp-component"
-VERSION = '0.1'
+VERSION = '0.1.19'
 REQUIRES = []
 with open('requirements.txt') as f:
     REQUIRES = f.readlines()

diff --git a/components/dataflow/predict/component.yaml b/components/dataflow/predict/component.yaml
@@ -15,7 +15,7 @@ outputs:
   - {name: Predictions dir,     type: GCSPath,  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:b0147bdbed9f25212408e0468a475289e80e0406
+    image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tf-predict:727c48c690c081b505c1f0979d11930bf1ef07c0
     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:b0147bdbed9f25212408e0468a475289e80e0406
+    image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tfdv:727c48c690c081b505c1f0979d11930bf1ef07c0
     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: GCSPath,   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:b0147bdbed9f25212408e0468a475289e80e0406
+    image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tfma:727c48c690c081b505c1f0979d11930bf1ef07c0
     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: GCSPath} # type: {GCSPath: {path_type: Directory}}
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tft:b0147bdbed9f25212408e0468a475289e80e0406
+    image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tft:727c48c690c081b505c1f0979d11930bf1ef07c0
     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
@@ -54,7 +54,7 @@ outputs:
     type: GCSPath
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:b0147bdbed9f25212408e0468a475289e80e0406
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:727c48c690c081b505c1f0979d11930bf1ef07c0
     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:b0147bdbed9f25212408e0468a475289e80e0406
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:727c48c690c081b505c1f0979d11930bf1ef07c0
     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:b0147bdbed9f25212408e0468a475289e80e0406
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:727c48c690c081b505c1f0979d11930bf1ef07c0
     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:b0147bdbed9f25212408e0468a475289e80e0406
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:727c48c690c081b505c1f0979d11930bf1ef07c0
     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:b0147bdbed9f25212408e0468a475289e80e0406
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:727c48c690c081b505c1f0979d11930bf1ef07c0
     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:b0147bdbed9f25212408e0468a475289e80e0406
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:727c48c690c081b505c1f0979d11930bf1ef07c0
     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:b0147bdbed9f25212408e0468a475289e80e0406
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:727c48c690c081b505c1f0979d11930bf1ef07c0
     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:b0147bdbed9f25212408e0468a475289e80e0406
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:727c48c690c081b505c1f0979d11930bf1ef07c0
     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:b0147bdbed9f25212408e0468a475289e80e0406
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:727c48c690c081b505c1f0979d11930bf1ef07c0
     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:b0147bdbed9f25212408e0468a475289e80e0406
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:727c48c690c081b505c1f0979d11930bf1ef07c0
     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:b0147bdbed9f25212408e0468a475289e80e0406
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:727c48c690c081b505c1f0979d11930bf1ef07c0
     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:b0147bdbed9f25212408e0468a475289e80e0406
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:727c48c690c081b505c1f0979d11930bf1ef07c0
     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
@@ -90,7 +90,7 @@ outputs:
     type: String
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:b0147bdbed9f25212408e0468a475289e80e0406
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:727c48c690c081b505c1f0979d11930bf1ef07c0
     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
@@ -98,7 +98,7 @@ outputs:
     type: GCSPath
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:b0147bdbed9f25212408e0468a475289e80e0406
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:727c48c690c081b505c1f0979d11930bf1ef07c0
     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
@@ -11,7 +11,7 @@ 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:b0147bdbed9f25212408e0468a475289e80e0406
+    image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-deployer:727c48c690c081b505c1f0979d11930bf1ef07c0
     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: GCSPath,  description: 'GCS or local directory.'} # type: {GCSPath: {path_type: Directory}}
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:b0147bdbed9f25212408e0468a475289e80e0406
+    image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:727c48c690c081b505c1f0979d11930bf1ef07c0
     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:b0147bdbed9f25212408e0468a475289e80e0406',
+        image = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf:727c48c690c081b505c1f0979d11930bf1ef07c0',
         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:b0147bdbed9f25212408e0468a475289e80e0406
+            image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:727c48c690c081b505c1f0979d11930bf1ef07c0
             command:
               - python
               - -m
@@ -49,7 +49,7 @@ spec:
         spec:
           containers:
           - name: tensorflow
-            image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:b0147bdbed9f25212408e0468a475289e80e0406
+            image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:727c48c690c081b505c1f0979d11930bf1ef07c0
             command:
               - python
               - -m
@@ -72,7 +72,7 @@ spec:
             spec:
               containers:
               - name: tensorflow
-                image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:b0147bdbed9f25212408e0468a475289e80e0406
+                image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:727c48c690c081b505c1f0979d11930bf1ef07c0
                 command:
                   - python
                   - -m

diff --git a/components/local/confusion_matrix/component.yaml b/components/local/confusion_matrix/component.yaml
@@ -9,7 +9,7 @@ inputs:
 #  - {name: Metrics,         type: Metrics}
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-local-confusion-matrix:b0147bdbed9f25212408e0468a475289e80e0406
+    image: gcr.io/ml-pipeline/ml-pipeline-local-confusion-matrix:727c48c690c081b505c1f0979d11930bf1ef07c0
     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:b0147bdbed9f25212408e0468a475289e80e0406
+    image: gcr.io/ml-pipeline/ml-pipeline-local-confusion-matrix:727c48c690c081b505c1f0979d11930bf1ef07c0
     command: [python2, /ml/roc.py]
     args: [
       --predictions,        {inputValue: Predictions dir},

diff --git a/samples/kubeflow-tf/kubeflow-training-classification.py b/samples/kubeflow-tf/kubeflow-training-classification.py
@@ -68,7 +68,7 @@ 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:b0147bdbed9f25212408e0468a475289e80e0406',
+        training.image = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer-gpu:727c48c690c081b505c1f0979d11930bf1ef07c0',
         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:b0147bdbed9f25212408e0468a475289e80e0406'\n",
-    "DATAFLOW_TFT_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tft:b0147bdbed9f25212408e0468a475289e80e0406'\n",
-    "DATAFLOW_TFMA_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tfma:b0147bdbed9f25212408e0468a475289e80e0406'\n",
-    "DATAFLOW_TF_PREDICT_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tf-predict:b0147bdbed9f25212408e0468a475289e80e0406'\n",
-    "KUBEFLOW_TF_TRAINER_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:b0147bdbed9f25212408e0468a475289e80e0406'\n",
-    "KUBEFLOW_TF_TRAINER_GPU_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer-gpu:b0147bdbed9f25212408e0468a475289e80e0406'\n",
-    "KUBEFLOW_DEPLOYER_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-deployer:b0147bdbed9f25212408e0468a475289e80e0406'\n",
+    "DATAFLOW_TFDV_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tfdv:727c48c690c081b505c1f0979d11930bf1ef07c0'\n",
+    "DATAFLOW_TFT_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tft:727c48c690c081b505c1f0979d11930bf1ef07c0'\n",
+    "DATAFLOW_TFMA_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tfma:727c48c690c081b505c1f0979d11930bf1ef07c0'\n",
+    "DATAFLOW_TF_PREDICT_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tf-predict:727c48c690c081b505c1f0979d11930bf1ef07c0'\n",
+    "KUBEFLOW_TF_TRAINER_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:727c48c690c081b505c1f0979d11930bf1ef07c0'\n",
+    "KUBEFLOW_TF_TRAINER_GPU_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer-gpu:727c48c690c081b505c1f0979d11930bf1ef07c0'\n",
+    "KUBEFLOW_DEPLOYER_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-deployer:727c48c690c081b505c1f0979d11930bf1ef07c0'\n",
     "DEPLOYER_MODEL = 'notebook_tfx_taxi'\n",
     "DEPLOYER_VERSION_DEV = 'dev'\n",
     "DEPLOYER_VERSION_PROD = 'prod'\n",

diff --git a/samples/xgboost-spark/xgboost-training-cm.py b/samples/xgboost-spark/xgboost-training-cm.py
@@ -36,7 +36,7 @@ def dataproc_create_cluster_op(
 ):
     return dsl.ContainerOp(
         name='Dataproc - Create cluster',
-        image='gcr.io/ml-pipeline/ml-pipeline-dataproc-create-cluster:b0147bdbed9f25212408e0468a475289e80e0406',
+        image='gcr.io/ml-pipeline/ml-pipeline-dataproc-create-cluster:727c48c690c081b505c1f0979d11930bf1ef07c0',
         arguments=[
             '--project', project,
             '--region', region,
@@ -56,7 +56,7 @@ def dataproc_delete_cluster_op(
 ):
     return dsl.ContainerOp(
         name='Dataproc - Delete cluster',
-        image='gcr.io/ml-pipeline/ml-pipeline-dataproc-delete-cluster:b0147bdbed9f25212408e0468a475289e80e0406',
+        image='gcr.io/ml-pipeline/ml-pipeline-dataproc-delete-cluster:727c48c690c081b505c1f0979d11930bf1ef07c0',
         arguments=[
             '--project', project,
             '--region', region,
@@ -76,7 +76,7 @@ def dataproc_analyze_op(
 ):
     return dsl.ContainerOp(
         name='Dataproc - Analyze',
-        image='gcr.io/ml-pipeline/ml-pipeline-dataproc-analyze:b0147bdbed9f25212408e0468a475289e80e0406',
+        image='gcr.io/ml-pipeline/ml-pipeline-dataproc-analyze:727c48c690c081b505c1f0979d11930bf1ef07c0',
         arguments=[
             '--project', project,
             '--region', region,
@@ -103,7 +103,7 @@ def dataproc_transform_op(
 ):
     return dsl.ContainerOp(
         name='Dataproc - Transform',
-        image='gcr.io/ml-pipeline/ml-pipeline-dataproc-transform:b0147bdbed9f25212408e0468a475289e80e0406',
+        image='gcr.io/ml-pipeline/ml-pipeline-dataproc-transform:727c48c690c081b505c1f0979d11930bf1ef07c0',
         arguments=[
             '--project', project,
             '--region', region,
@@ -141,7 +141,7 @@ def dataproc_train_op(
 
     return dsl.ContainerOp(
         name='Dataproc - Train XGBoost model',
-        image='gcr.io/ml-pipeline/ml-pipeline-dataproc-train:b0147bdbed9f25212408e0468a475289e80e0406',
+        image='gcr.io/ml-pipeline/ml-pipeline-dataproc-train:727c48c690c081b505c1f0979d11930bf1ef07c0',
         arguments=[
             '--project', project,
             '--region', region,
@@ -174,7 +174,7 @@ def dataproc_predict_op(
 ):
     return dsl.ContainerOp(
         name='Dataproc - Predict with XGBoost model',
-        image='gcr.io/ml-pipeline/ml-pipeline-dataproc-predict:b0147bdbed9f25212408e0468a475289e80e0406',
+        image='gcr.io/ml-pipeline/ml-pipeline-dataproc-predict:727c48c690c081b505c1f0979d11930bf1ef07c0',
         arguments=[
             '--project', project,
             '--region', region,

diff --git a/sdk/python/setup.py b/sdk/python/setup.py
@@ -15,7 +15,7 @@
 from setuptools import setup
 
 NAME = 'kfp'
-VERSION = '0.1.18'
+VERSION = '0.1.19'
 
 REQUIRES = [
     'urllib3>=1.15,<1.25', #Fixing the version conflict with the "requests" package