Yuan-Chi Chang
Yuan-Chi Chang
The updated paragraph explains the required ordering and the corresponding HTTP return codes.
> Removed Serve mentioning. Removed HTTPEventProvider mentioning. Simplified client code with explanation of status code. Please review.
> Approving docs changes, as long as the script is runnable. Pulled nightly build. The doc_code script passed. Thanks.
Yes. Checking available capacity to resize deployment configuration accordingly by the job submitter will lift the guessing game. CC @starpit @klwuibm
Cross posting from https://github.com/opendatahub-io/data-science-pipelines/issues/179 A prototype following the above solution design can be found at this link. https://github.com/yuanchi2807/dsp_codeflare_int_testing Ray application image can be pulled from quay.io/yuanchichang_ibm/integration_testing/dsp_codeflare_int_testing:0.1 The pipeline definition yet_another_ray_integration_test.py...
> On the first look it looks fine to me. I will try to run it this week. Waiting for feedback from Diego, as he has more experience with Pipelines....
Echo the issue. It is unclear to us why pytorch is needed in the SDK.
Since a component is already running in the cluster, do we still need `TokenAuthentication`? Can one invoke `load_incluster_config` instead? ``` from kubernetes import client, config loadedconf = config.load_incluster_config() ``` If...
PR404 opened for review