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Updated component images to version b634720
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hongye-sun committed Dec 5, 2019
1 parent b634720 commit a8d3b69
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Showing 21 changed files with 23 additions and 23 deletions.
2 changes: 1 addition & 1 deletion components/gcp/bigquery/query/component.yaml
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Expand Up @@ -59,7 +59,7 @@ outputs:
type: UI metadata
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
image: gcr.io/ml-pipeline/ml-pipeline-gcp:b63472062bd80737c7f39e0eda901db0fe23a5e0
args: [
kfp_component.google.bigquery, query,
--query, {inputValue: query},
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2 changes: 1 addition & 1 deletion components/gcp/dataflow/launch_python/component.yaml
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Expand Up @@ -53,7 +53,7 @@ outputs:
type: UI metadata
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
image: gcr.io/ml-pipeline/ml-pipeline-gcp:b63472062bd80737c7f39e0eda901db0fe23a5e0
args: [
kfp_component.google.dataflow, launch_python,
--python_file_path, {inputValue: python_file_path},
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2 changes: 1 addition & 1 deletion components/gcp/dataflow/launch_template/component.yaml
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Expand Up @@ -63,7 +63,7 @@ outputs:
type: UI metadata
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
image: gcr.io/ml-pipeline/ml-pipeline-gcp:b63472062bd80737c7f39e0eda901db0fe23a5e0
args: [
kfp_component.google.dataflow, launch_template,
--project_id, {inputValue: project_id},
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2 changes: 1 addition & 1 deletion components/gcp/dataproc/create_cluster/component.yaml
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Expand Up @@ -70,7 +70,7 @@ outputs:
type: UI metadata
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
image: gcr.io/ml-pipeline/ml-pipeline-gcp:b63472062bd80737c7f39e0eda901db0fe23a5e0
args: [
kfp_component.google.dataproc, create_cluster,
--project_id, {inputValue: project_id},
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2 changes: 1 addition & 1 deletion components/gcp/dataproc/delete_cluster/component.yaml
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Expand Up @@ -36,7 +36,7 @@ inputs:
type: Integer
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
image: gcr.io/ml-pipeline/ml-pipeline-gcp:b63472062bd80737c7f39e0eda901db0fe23a5e0
args: [
kfp_component.google.dataproc, delete_cluster,
--project_id, {inputValue: project_id},
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2 changes: 1 addition & 1 deletion components/gcp/dataproc/submit_hadoop_job/component.yaml
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Expand Up @@ -80,7 +80,7 @@ outputs:
type: UI metadata
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
image: gcr.io/ml-pipeline/ml-pipeline-gcp:b63472062bd80737c7f39e0eda901db0fe23a5e0
args: [
kfp_component.google.dataproc, submit_hadoop_job,
--project_id, {inputValue: project_id},
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2 changes: 1 addition & 1 deletion components/gcp/dataproc/submit_hive_job/component.yaml
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Expand Up @@ -75,7 +75,7 @@ outputs:
type: UI metadata
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
image: gcr.io/ml-pipeline/ml-pipeline-gcp:b63472062bd80737c7f39e0eda901db0fe23a5e0
args: [
kfp_component.google.dataproc, submit_hive_job,
--project_id, {inputValue: project_id},
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2 changes: 1 addition & 1 deletion components/gcp/dataproc/submit_pig_job/component.yaml
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Expand Up @@ -75,7 +75,7 @@ outputs:
type: UI metadata
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
image: gcr.io/ml-pipeline/ml-pipeline-gcp:b63472062bd80737c7f39e0eda901db0fe23a5e0
args: [
kfp_component.google.dataproc, submit_pig_job,
--project_id, {inputValue: project_id},
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2 changes: 1 addition & 1 deletion components/gcp/dataproc/submit_pyspark_job/component.yaml
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Expand Up @@ -69,7 +69,7 @@ outputs:
type: UI metadata
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
image: gcr.io/ml-pipeline/ml-pipeline-gcp:b63472062bd80737c7f39e0eda901db0fe23a5e0
args: [
kfp_component.google.dataproc, submit_pyspark_job,
--project_id, {inputValue: project_id},
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2 changes: 1 addition & 1 deletion components/gcp/dataproc/submit_spark_job/component.yaml
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Expand Up @@ -76,7 +76,7 @@ outputs:
type: UI metadata
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
image: gcr.io/ml-pipeline/ml-pipeline-gcp:b63472062bd80737c7f39e0eda901db0fe23a5e0
args: [
kfp_component.google.dataproc, submit_spark_job,
--project_id, {inputValue: project_id},
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2 changes: 1 addition & 1 deletion components/gcp/dataproc/submit_sparksql_job/component.yaml
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Expand Up @@ -75,7 +75,7 @@ outputs:
type: UI metadata
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
image: gcr.io/ml-pipeline/ml-pipeline-gcp:b63472062bd80737c7f39e0eda901db0fe23a5e0
args: [
kfp_component.google.dataproc, submit_sparksql_job,
--project_id, {inputValue: project_id},
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2 changes: 1 addition & 1 deletion components/gcp/ml_engine/batch_predict/component.yaml
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Expand Up @@ -69,7 +69,7 @@ outputs:
type: UI metadata
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
image: gcr.io/ml-pipeline/ml-pipeline-gcp:b63472062bd80737c7f39e0eda901db0fe23a5e0
args: [
kfp_component.google.ml_engine, batch_predict,
--project_id, {inputValue: project_id},
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2 changes: 1 addition & 1 deletion components/gcp/ml_engine/deploy/component.yaml
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Expand Up @@ -95,7 +95,7 @@ outputs:
type: UI metadata
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
image: gcr.io/ml-pipeline/ml-pipeline-gcp:b63472062bd80737c7f39e0eda901db0fe23a5e0
args: [
kfp_component.google.ml_engine, deploy,
--model_uri, {inputValue: model_uri},
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2 changes: 1 addition & 1 deletion components/gcp/ml_engine/train/component.yaml
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Expand Up @@ -103,7 +103,7 @@ outputs:
type: UI metadata
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
image: gcr.io/ml-pipeline/ml-pipeline-gcp:b63472062bd80737c7f39e0eda901db0fe23a5e0
args: [
kfp_component.google.ml_engine, train,
--project_id, {inputValue: project_id},
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2 changes: 1 addition & 1 deletion components/kubeflow/deployer/component.yaml
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Expand Up @@ -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:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-deployer:b63472062bd80737c7f39e0eda901db0fe23a5e0
command: [/bin/deploy.sh]
args: [
--model-export-path, {inputValue: Model dir},
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2 changes: 1 addition & 1 deletion components/kubeflow/dnntrainer/component.yaml
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Expand Up @@ -16,7 +16,7 @@ outputs:
- {name: MLPipeline UI metadata, type: UI metadata}
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:b63472062bd80737c7f39e0eda901db0fe23a5e0
command: [python2, -m, trainer.task]
args: [
--transformed-data-dir, {inputValue: Transformed data dir},
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2 changes: 1 addition & 1 deletion components/kubeflow/launcher/kubeflow_tfjob_launcher_op.py
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Expand Up @@ -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:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26',
image = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf:b63472062bd80737c7f39e0eda901db0fe23a5e0',
arguments = [
'--workers', number_of_workers,
'--pss', number_of_parameter_servers,
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6 changes: 3 additions & 3 deletions components/kubeflow/launcher/src/train.template.yaml
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Expand Up @@ -26,7 +26,7 @@ spec:
spec:
containers:
- name: tensorflow
image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:b63472062bd80737c7f39e0eda901db0fe23a5e0
command:
- python
- -m
Expand All @@ -49,7 +49,7 @@ spec:
spec:
containers:
- name: tensorflow
image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:b63472062bd80737c7f39e0eda901db0fe23a5e0
command:
- python
- -m
Expand All @@ -72,7 +72,7 @@ spec:
spec:
containers:
- name: tensorflow
image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:b63472062bd80737c7f39e0eda901db0fe23a5e0
command:
- python
- -m
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2 changes: 1 addition & 1 deletion components/local/confusion_matrix/component.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@ outputs:
- {name: MLPipeline Metrics, type: Metrics}
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-local-confusion-matrix:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
image: gcr.io/ml-pipeline/ml-pipeline-local-confusion-matrix:b63472062bd80737c7f39e0eda901db0fe23a5e0
command: [python2, /ml/confusion_matrix.py]
args: [
--predictions, {inputValue: Predictions},
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2 changes: 1 addition & 1 deletion components/local/roc/component.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@ outputs:
- {name: MLPipeline Metrics, type: Metrics}
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-local-confusion-matrix:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
image: gcr.io/ml-pipeline/ml-pipeline-local-confusion-matrix:b63472062bd80737c7f39e0eda901db0fe23a5e0
command: [python2, /ml/roc.py]
args: [
--predictions, {inputValue: Predictions dir},
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2 changes: 1 addition & 1 deletion samples/core/kubeflow_tf_serving/kubeflow_tf_serving.ipynb
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Expand Up @@ -176,7 +176,7 @@
"ts = int(time.time())\n",
"model_version = str(ts) # Here we use timestamp as version to avoid conflict \n",
"output = 'Your-Gcs-Path' # A GCS bucket for asset outputs\n",
"KUBEFLOW_DEPLOYER_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-deployer:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26'"
"KUBEFLOW_DEPLOYER_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-deployer:b63472062bd80737c7f39e0eda901db0fe23a5e0'"
]
},
{
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