Updated component images to version 1449d08

kubeflow · Sep 13, 2019 · e7a021e · e7a021e
1 parent 1449d08
commit e7a021e
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Showing 26 changed files with 33 additions and 33 deletions.
diff --git a/components/deprecated/dataflow/predict/component.yaml b/components/deprecated/dataflow/predict/component.yaml
@@ -16,7 +16,7 @@ outputs:
   - {name: MLPipeline UI metadata, type: UI metadata}
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tf-predict:151c5349f13bea9d626c988563c04c0a86210c21
+    image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tf-predict:1449d08aeeeb47731d019ea046d90904d9c77953
     command: [python2, /ml/predict.py]
     args: [
       --data,       {inputValue: Data file pattern},

diff --git a/components/deprecated/dataflow/tfdv/component.yaml b/components/deprecated/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:151c5349f13bea9d626c988563c04c0a86210c21
+    image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tfdv:1449d08aeeeb47731d019ea046d90904d9c77953
     command: [python2, /ml/validate.py]
     args: [
       --csv-data-for-inference, {inputValue: Inference data},

diff --git a/components/deprecated/dataflow/tfma/component.yaml b/components/deprecated/dataflow/tfma/component.yaml
@@ -18,7 +18,7 @@ outputs:
 - {name: MLPipeline UI metadata, type: UI metadata}
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tfma:151c5349f13bea9d626c988563c04c0a86210c21
+    image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tfma:1449d08aeeeb47731d019ea046d90904d9c77953
     command: [python2, /ml/model_analysis.py]
     args: [
       --model,    {inputValue: Model},

diff --git a/components/deprecated/dataflow/tft/component.yaml b/components/deprecated/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:151c5349f13bea9d626c988563c04c0a86210c21
+    image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tft:1449d08aeeeb47731d019ea046d90904d9c77953
     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
@@ -59,7 +59,7 @@ outputs:
     type: UI metadata
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:151c5349f13bea9d626c988563c04c0a86210c21
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1449d08aeeeb47731d019ea046d90904d9c77953
     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
@@ -53,7 +53,7 @@ outputs:
     type: UI metadata
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:151c5349f13bea9d626c988563c04c0a86210c21
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1449d08aeeeb47731d019ea046d90904d9c77953
     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
@@ -63,7 +63,7 @@ outputs:
     type: UI metadata
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:151c5349f13bea9d626c988563c04c0a86210c21
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1449d08aeeeb47731d019ea046d90904d9c77953
     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
@@ -70,7 +70,7 @@ outputs:
     type: UI metadata
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:151c5349f13bea9d626c988563c04c0a86210c21
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1449d08aeeeb47731d019ea046d90904d9c77953
     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
@@ -36,7 +36,7 @@ inputs:
     type: Integer
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:151c5349f13bea9d626c988563c04c0a86210c21
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1449d08aeeeb47731d019ea046d90904d9c77953
     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
@@ -80,7 +80,7 @@ outputs:
     type: UI metadata
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:151c5349f13bea9d626c988563c04c0a86210c21
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1449d08aeeeb47731d019ea046d90904d9c77953
     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
@@ -75,7 +75,7 @@ outputs:
     type: UI metadata
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:151c5349f13bea9d626c988563c04c0a86210c21
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1449d08aeeeb47731d019ea046d90904d9c77953
     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
@@ -75,7 +75,7 @@ outputs:
     type: UI metadata
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:151c5349f13bea9d626c988563c04c0a86210c21
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1449d08aeeeb47731d019ea046d90904d9c77953
     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
@@ -69,7 +69,7 @@ outputs:
     type: UI metadata
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:151c5349f13bea9d626c988563c04c0a86210c21
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1449d08aeeeb47731d019ea046d90904d9c77953
     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
@@ -76,7 +76,7 @@ outputs:
     type: UI metadata
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:151c5349f13bea9d626c988563c04c0a86210c21
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1449d08aeeeb47731d019ea046d90904d9c77953
     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
@@ -75,7 +75,7 @@ outputs:
     type: UI metadata
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:151c5349f13bea9d626c988563c04c0a86210c21
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1449d08aeeeb47731d019ea046d90904d9c77953
     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
@@ -69,7 +69,7 @@ outputs:
     type: UI metadata
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:151c5349f13bea9d626c988563c04c0a86210c21
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1449d08aeeeb47731d019ea046d90904d9c77953
     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
@@ -95,7 +95,7 @@ outputs:
     type: UI metadata
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:151c5349f13bea9d626c988563c04c0a86210c21
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1449d08aeeeb47731d019ea046d90904d9c77953
     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
@@ -103,7 +103,7 @@ outputs:
     type: UI metadata
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:151c5349f13bea9d626c988563c04c0a86210c21
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1449d08aeeeb47731d019ea046d90904d9c77953
     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:151c5349f13bea9d626c988563c04c0a86210c21
+    image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-deployer:1449d08aeeeb47731d019ea046d90904d9c77953
     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
@@ -16,7 +16,7 @@ outputs:
   - {name: MLPipeline UI metadata, type: UI metadata}
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:151c5349f13bea9d626c988563c04c0a86210c21
+    image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:1449d08aeeeb47731d019ea046d90904d9c77953
     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:151c5349f13bea9d626c988563c04c0a86210c21',
+        image = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf:1449d08aeeeb47731d019ea046d90904d9c77953',
         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:151c5349f13bea9d626c988563c04c0a86210c21
+            image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:1449d08aeeeb47731d019ea046d90904d9c77953
             command:
               - python
               - -m
@@ -49,7 +49,7 @@ spec:
         spec:
           containers:
           - name: tensorflow
-            image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:151c5349f13bea9d626c988563c04c0a86210c21
+            image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:1449d08aeeeb47731d019ea046d90904d9c77953
             command:
               - python
               - -m
@@ -72,7 +72,7 @@ spec:
             spec:
               containers:
               - name: tensorflow
-                image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:151c5349f13bea9d626c988563c04c0a86210c21
+                image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:1449d08aeeeb47731d019ea046d90904d9c77953
                 command:
                   - python
                   - -m

diff --git a/components/local/confusion_matrix/component.yaml b/components/local/confusion_matrix/component.yaml
@@ -9,7 +9,7 @@ outputs:
   - {name: MLPipeline Metrics,     type: Metrics}
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-local-confusion-matrix:151c5349f13bea9d626c988563c04c0a86210c21
+    image: gcr.io/ml-pipeline/ml-pipeline-local-confusion-matrix:1449d08aeeeb47731d019ea046d90904d9c77953
     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 @@ outputs:
   - {name: MLPipeline Metrics,     type: Metrics}
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-local-confusion-matrix:151c5349f13bea9d626c988563c04c0a86210c21
+    image: gcr.io/ml-pipeline/ml-pipeline-local-confusion-matrix:1449d08aeeeb47731d019ea046d90904d9c77953
     command: [python2, /ml/roc.py]
     args: [
       --predictions,        {inputValue: Predictions dir},

diff --git a/samples/core/kubeflow_tf_serving/kubeflow_tf_serving.ipynb b/samples/core/kubeflow_tf_serving/kubeflow_tf_serving.ipynb
@@ -71,7 +71,7 @@
     "EXPERIMENT_NAME = 'serving_component'\n",
     "MODEL_VERSION = '1'                                            # A number representing the version model \n",
     "OUTPUT_BUCKET = 'gs://%s-serving-component' % PROJECT_NAME     # A GCS bucket for asset outputs\n",
-    "KUBEFLOW_DEPLOYER_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-deployer:151c5349f13bea9d626c988563c04c0a86210c21'\n",
+    "KUBEFLOW_DEPLOYER_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-deployer:1449d08aeeeb47731d019ea046d90904d9c77953'\n",
     "MODEL_PATH = '%s/%s' % (OUTPUT_BUCKET,MODEL_NAME)               \n",
     "MODEL_VERSION_PATH = '%s/%s/%s' % (OUTPUT_BUCKET,MODEL_NAME,MODEL_VERSION)"
    ]

diff --git a/samples/core/xgboost_training_cm/xgboost_training_cm.py b/samples/core/xgboost_training_cm/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:151c5349f13bea9d626c988563c04c0a86210c21',
+        image='gcr.io/ml-pipeline/ml-pipeline-dataproc-create-cluster:1449d08aeeeb47731d019ea046d90904d9c77953',
         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:151c5349f13bea9d626c988563c04c0a86210c21',
+        image='gcr.io/ml-pipeline/ml-pipeline-dataproc-delete-cluster:1449d08aeeeb47731d019ea046d90904d9c77953',
         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:151c5349f13bea9d626c988563c04c0a86210c21',
+        image='gcr.io/ml-pipeline/ml-pipeline-dataproc-analyze:1449d08aeeeb47731d019ea046d90904d9c77953',
         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:151c5349f13bea9d626c988563c04c0a86210c21',
+        image='gcr.io/ml-pipeline/ml-pipeline-dataproc-transform:1449d08aeeeb47731d019ea046d90904d9c77953',
         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:151c5349f13bea9d626c988563c04c0a86210c21',
+        image='gcr.io/ml-pipeline/ml-pipeline-dataproc-train:1449d08aeeeb47731d019ea046d90904d9c77953',
         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:151c5349f13bea9d626c988563c04c0a86210c21',
+        image='gcr.io/ml-pipeline/ml-pipeline-dataproc-predict:1449d08aeeeb47731d019ea046d90904d9c77953',
         arguments=[
             '--project', project,
             '--region', region,