update yaml tag in samples (#1176)

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

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,

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',

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]',

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.