diff --git a/samples/arena-samples/README.md b/samples/arena-samples/README.md index 99d587acf02..e1decfd52f1 100644 --- a/samples/arena-samples/README.md +++ b/samples/arena-samples/README.md @@ -7,13 +7,13 @@ There are a series of examples about how to build deeplearning models with [Aren 1. Install the arena ``` -kubectl create -f https://raw.githubusercontent.com/kubeflow/pipelines/master/samples/arena-samples/arena.yaml +kubectl create -f https://raw.githubusercontent.com/kubeflow/pipelines/785d474699cffb7463986b9abc4b1fbe03796cb6/samples/arena-samples/arena.yaml ``` 2. Add addtional RBAC role to service account `pipeline-runner` ``` -kubectl create -f https://raw.githubusercontent.com/kubeflow/pipelines/master/samples/arena-samples/arena_launcher_rbac.yaml +kubectl create -f https://raw.githubusercontent.com/kubeflow/pipelines/785d474699cffb7463986b9abc4b1fbe03796cb6/samples/arena-samples/arena_launcher_rbac.yaml ``` ## Demos diff --git a/samples/ibm-samples/ffdl-seldon/ffdl_pipeline.py b/samples/ibm-samples/ffdl-seldon/ffdl_pipeline.py index 7dd5a0d68d7..f5fdb5e4002 100644 --- a/samples/ibm-samples/ffdl-seldon/ffdl_pipeline.py +++ b/samples/ibm-samples/ffdl-seldon/ffdl_pipeline.py @@ -30,9 +30,9 @@ def ffdlPipeline( ): """A pipeline for end to end machine learning workflow.""" - configuration_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/master/components/ibm-components/commons/config/component.yaml') - train_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/master/components/ibm-components/ffdl/train/component.yaml') - serve_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/master/components/ibm-components/ffdl/serve/component.yaml') + configuration_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/785d474699cffb7463986b9abc4b1fbe03796cb6/components/ibm-components/commons/config/component.yaml') + train_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/785d474699cffb7463986b9abc4b1fbe03796cb6/components/ibm-components/ffdl/train/component.yaml') + serve_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/785d474699cffb7463986b9abc4b1fbe03796cb6/components/ibm-components/ffdl/serve/component.yaml') get_configuration = configuration_op( token = GITHUB_TOKEN, diff --git a/samples/kubeflow-tf/kubeflow-training-classification.py b/samples/kubeflow-tf/kubeflow-training-classification.py index fa76ef79551..522443cb3cb 100755 --- a/samples/kubeflow-tf/kubeflow-training-classification.py +++ b/samples/kubeflow-tf/kubeflow-training-classification.py @@ -18,10 +18,10 @@ from kfp import components -dataflow_tf_transform_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/master/components/dataflow/tft/component.yaml') -kubeflow_tf_training_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/master/components/kubeflow/dnntrainer/component.yaml') -dataflow_tf_predict_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/master/components/dataflow/predict/component.yaml') -confusion_matrix_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/master/components/local/confusion_matrix/component.yaml') +dataflow_tf_transform_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/785d474699cffb7463986b9abc4b1fbe03796cb6/components/dataflow/tft/component.yaml') +kubeflow_tf_training_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/785d474699cffb7463986b9abc4b1fbe03796cb6/components/kubeflow/dnntrainer/component.yaml') +dataflow_tf_predict_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/785d474699cffb7463986b9abc4b1fbe03796cb6/components/dataflow/predict/component.yaml') +confusion_matrix_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/785d474699cffb7463986b9abc4b1fbe03796cb6/components/local/confusion_matrix/component.yaml') @dsl.pipeline( name='Pipeline TFJob', diff --git a/samples/resnet-cmle/resnet-train-pipeline.py b/samples/resnet-cmle/resnet-train-pipeline.py index 5be9deb1e49..04be110ec42 100644 --- a/samples/resnet-cmle/resnet-train-pipeline.py +++ b/samples/resnet-cmle/resnet-train-pipeline.py @@ -22,11 +22,11 @@ import os dataflow_python_op = comp.load_component_from_url( - 'https://raw.githubusercontent.com/kubeflow/pipelines/d2f5cc92a46012b9927209e2aaccab70961582dc/components/gcp/dataflow/launch_python/component.yaml') + 'https://raw.githubusercontent.com/kubeflow/pipelines/785d474699cffb7463986b9abc4b1fbe03796cb6/components/gcp/dataflow/launch_python/component.yaml') cloudml_train_op = comp.load_component_from_url( - 'https://raw.githubusercontent.com/kubeflow/pipelines/d2f5cc92a46012b9927209e2aaccab70961582dc/components/gcp/ml_engine/train/component.yaml') + 'https://raw.githubusercontent.com/kubeflow/pipelines/785d474699cffb7463986b9abc4b1fbe03796cb6/components/gcp/ml_engine/train/component.yaml') cloudml_deploy_op = comp.load_component_from_url( - 'https://raw.githubusercontent.com/kubeflow/pipelines/d2f5cc92a46012b9927209e2aaccab70961582dc/components/gcp/ml_engine/deploy/component.yaml') + 'https://raw.githubusercontent.com/kubeflow/pipelines/785d474699cffb7463986b9abc4b1fbe03796cb6/components/gcp/ml_engine/deploy/component.yaml') def resnet_preprocess_op(project_id: 'GcpProject', output: 'GcsUri', staging_dir: 'GcsUri', train_csv: 'GcsUri[text/csv]', diff --git a/samples/xgboost-spark/xgboost-training-cm.py b/samples/xgboost-spark/xgboost-training-cm.py index 45c9e572be6..d24e3d1330f 100755 --- a/samples/xgboost-spark/xgboost-training-cm.py +++ b/samples/xgboost-spark/xgboost-training-cm.py @@ -19,8 +19,8 @@ from kfp import components -confusion_matrix_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/master/components/local/confusion_matrix/component.yaml') -roc_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/deb4d0ed41662055031832f4ba03e324dd609143/components/local/roc/component.yaml') +confusion_matrix_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/785d474699cffb7463986b9abc4b1fbe03796cb6/components/local/confusion_matrix/component.yaml') +roc_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/785d474699cffb7463986b9abc4b1fbe03796cb6/components/local/roc/component.yaml') # ================================================================ # The following classes should be provided by components provider.