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Add volumemount support and fix parameter bugs #40
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@@ -115,11 +115,11 @@ def _create_pipeline_workflow(self, args, pipeline, op_transformers=None, pipeli | |||
for tp in task.get('params', []): | |||
if tp['name'] in pipeline_param_names: | |||
tp['value'] = '$(params.%s)' % tp['name'] | |||
break |
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good catch!
sdk/python/tests/compiler/testdata/watson_train_serve_pipeline.py
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The volumes support (not ops) itself is not pending the pr, but in order to run the watson ML with our current implementation, kubeflow/pipelines#3316 is necessary. |
@@ -1,4 +1,4 @@ | |||
# Copyright 2018 Google LLC | |||
# Copyright 2020 Google LLC |
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should this also say kubeflow.org
instead of Google LLC
? (cc @animeshsingh)
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Oh i was coping from the kubeflow example, I can update the header
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yeah all licenses should be kubeflow.org
/lgtm |
[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: animeshsingh The full list of commands accepted by this bot can be found here. The pull request process is described here
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* add volumemount support and fix parameter bugs * remove sdk/samples folder and use real kfp example * fix formatting * update unittest and instructions * update license header * update license header * update license
feat(frontend): Update GitHub References in UI to point to ODH Repo Fork
Preview for volumemount support. Tekton needs to pass param under path
/tekton/results/
. Pending with PR kubeflow/pipelines#3316 to get the config path support on the watson example.Fixes #34
This change is