Add python conf to the metadata #894
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| from ._component import python_component |
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nit: do you need to expose component annotation here?
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I wanted to expose the component decorator when fully tested. WDYT?
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/test kubeflow-pipeline-e2e-test |
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/approve |
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: gaoning777 The full list of commands accepted by this bot can be found here. The pull request process is described here
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: gaoning777 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 core types and type checking function * fix unit test bug * avoid defining dynamic classes * typo fix * add component metadata format * add a construct for the component decorator * add default values for the meta classes * add input/output types to the metadata * add from_dict in TypeMeta * small fix * add unit tests * use python struct for the openapi schema * add default in parameter * add default value * remove the str restriction for the param default * bug fix * add pipelinemeta * add pipeline metadata * ignore annotation if it is not str/BaseType/dict * update param name in the check_type functions remove schema validators for GCRPath, and adjust for GCRPath, GCSPath change _check_valid_dict to _check_valid_type_dict to avoid confusion fix typo in the comments adjust function order for readability * remove default values for non-primitive types in the function signature update the _check_valid_type_dict name * typo in the comments * move the metadata classes to a separate module * fix unit test * add __eq__ to meta classes not export _metadata classes * fix unit test * fix bug: duplicate variable of args * move python_component and _component decorator in _component file * remove the print
Remove AWS old test-infra
…ing (kubeflow#894) * Add benchmark script * Add sklearn bechmarking * Add tf benchmark * Add perf result for autoscaler and activator * Add HPA experiments * Address comments * Bump up tf flower example cpu limit * Bump cpu limit for tf benchmark * Update hpa result for tf * Fix hpa benchmark
This change is