Stuck on an issue?

Lightrun Answers was designed to reduce the constant googling that comes with debugging 3rd party libraries. It collects links to all the places you might be looking at while hunting down a tough bug.

And, if you’re still stuck at the end, we’re happy to hop on a call to see how we can help out.

[feature] Update MLMD version and add process to keep this up to date.

See original GitHub issue

Currently pipelines uses gcr.io/tfx-oss-public/ml_metadata_store_server version 0.25.1 but 0.29.0 is the latest version. The image tag in metadata-grpc-deployment.yaml needs updating. To automate this process, all image tags should be listed in the images: section of the kustiomization.yaml files (here for this specific case). Once that is done, Renovate can be setup to create PRs updating the image tags of the manifests.

@Bobgy Would you like me to go through the manifests and set the images in the kustomization.yaml files and add the necessary Renovate config for kustomize?

Love this idea? Give it a 👍. We prioritize fulfilling features with the most 👍.

Issue Analytics

State:
Created 2 years ago
Comments:11 (8 by maintainers)

Top GitHub Comments

1reaction

Bobgycommented, Sep 6, 2021

/cc @zijianjoy Your new script addresses first part of this issue

1reaction

DavidSpekcommented, Apr 7, 2021

@Bobgy I have no particular reason for updating it, just something I noticed. Once things settle down a bit more I think it would be interesting to setup Renovate with the regex engine so that it can handle updating MLMD everywhere in the repo in a single PR so it can be tested properly. How does that sound?

Top Results From Across the Web

Better ML Engineering with ML Metadata | TFX - TensorFlow

MLMD enables you to reliably track the artifacts and lineage associated with the various components of your ML pipeline. In this tutorial, you ......

ml-metadata/RELEASE.md at master - GitHub

Introduce methods to Create and Update Artifacts, Executions and Contexts with custom ... Implement UpsertTypes() with batch queries in metadata store.

ML Metadata Store: What It Is, Why It Matters, and How to ...

In short, it gives you a single place to manage all the ML metadata about experiments, artifacts, models, and pipelines we have listed...

Data stored in MLMD in TensorFlow TFX - Stack Overflow

TFX is a ML pipeline/workflow so when you write a TFX application what you are doing is essentially constructing the structure of the ......

Explain TFX Metadata Store data model definitions

Sores data as metadata in metadata storage ex.: database, in ram. 1 Artifact (how I can draw down based on the documentations):. 1...