* SDK - Compiler - Fix large data passing
Stop outputting parameters unless they're consumed as parameters downstream.
This prevents the situaltion when component outputs a big file, but DSL compiler instructs Argo to pick it up as parameter (parameters only hold few kilobytes of data).
As byproduct, this change fixes some minor compiler data passing bugs where some parameters were being passed around, but never consumed (happened with `ResourceOp`, `dsl.Condition` and recursion).
* Replaced ... with `raise AssertionError`
* Fixed small bug
* Removed unused variables
* Fixed names of the mark_upstream_ios_of_* functions
* Fixed detection of parameter output references
* Fixed handling of volumes
Currently, the parameter output values are not saved to storage and their values are lost as soon as garbage collector removes the workflow object.
This change makes is so the parameter output values are persisted.
* Explicitly added mlpipeline outputs to the components that actually produce them
* Updated samples
* SDK - DSL - Stopped adding mlpipeline artifacts to every compiled template
Fixes https://github.com/kubeflow/pipelines/issues/1421
Fixes https://github.com/kubeflow/pipelines/issues/1422
* Updated the Lighweight sample
* Updated the compiler tests
* Fixed the lightweight sample
* Reverted the change to one contrib/samples/openvino
The sample will still work fine as it is now.
I'll add the change to that file as a separate PR.
* remove the graph component output; add support for dependency on graph component
* fix bug; adjust unit tests
* add support for explicit dependency of graph component
* adjust unit test
* add a todo
* bug fixes for unit tests
* refactor condition_param code; fix bug when the inputs task name is None; need to remove the print later
* do not pass condition param as arguments to downstream ops, remove print logs; add unit tests
* add unit test golden yaml
* fix bug
* fix the sample
Jiaxiao Zheng
Alexey Volkov
Alexey Volkov
Ning