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Fix model file upload #160
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Add model_url & port arguments to flask app Add service_type, image, and model_url parameters to ui component Fix problem argument in tensor2tensor component
Fix broken UI component structure by adding all, service, & deployment parts Add parameter defaults for tfjob to resolve failures deploying other components
Fix syntax error in argument parsing Remove underscores from parameter names to workaround ksonnet bug kubeflow#554: ksonnet/ksonnet#554
Add CPU image build arg to docker build command for t2t-training Fix link to ksonnet app dir Correct param names for tensor2tensor component Add missing params for tensor2tensor component Fix apply command syntax Swap out log view pod for t2t-master instead of tf-operator Fix link to training with tfjob
Update default params for tfjob-v1alpha2 Fix build directory path in Makefile
name: "tfjob-v1alpha2", | ||
image: "gcr.io/kubeflow-dev/tf-job-issue-summarization:v20180425-e79f888", | ||
name: "tfjob-issue-summarization", | ||
image: "gcr.io/kubeflow-examples/tf-job-issue-summarization:latest", |
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Perhaps we should re-tag so as to not break this tomorrow when somebody updates the image?
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+1 Its best to pin to a specific image.
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Fair point - just pushed a new image & updated the tag
Update image tag Add UI image tag
sample_size: "100000", | ||
gcpSecretName: "user-gcp-sa", | ||
gcpSecretFile: "user-gcp-sa.json", | ||
gcpSecretName: "gcp-credentials", |
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These aren't the right defaults. "user-gcp-sa" and "user-gcp-sa.json" are the defaults as set by our GKE deployment instructions.
Update associated readme
/lgtm |
[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: jlewi The full list of commands accepted by this bot can be found here. The pull request process is described here
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Update default params for tfjob-v1alpha2
Fix build directory path in Makefile
This change is