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The step_metadata logged by [this object](https://github.com/ai2cm/fv3net/blob/ffe4f5a3ee699c0f16aa32aa3603c6325de34d22/external/artifacts/fv3net/artifacts/metadata.py) is not being saved anywhere.
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### What happened + What you expected to happen
I have been creating Ray Clusters on cloud VM's in Google Cloud. I've been having issues with the setup_commands in the ray cluster YAML file. These …
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a newer version of google_mlkit_text_recognition that supports GoogleDataTransport (~> 10.0).
Firebase just update their package requires GoogleDataTransport (~> 10.0) , however google_mlkit_text_r…
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### The problem
When selecting Lithuanian language from drop down menu in "Media-browser>Text-to-speech>Google en com"
(full path: media-browser/browser/app%2Cmedia-source%3A%2F%2Ftts/provider%2Cme…
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ML training may require high network bandwidth for multiple nodes in the cluster. Many clouds provide method to collocated the nodes.
We can provide an option:
```
resources:
accelerators: A10…
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Serving locally using tensorflow_model_server works fine.
I've put an exported model/version on Google Cloud ML Engine.
The question is how do I set the query.py to use a remote server instead of lo…
ndvbd updated
4 years ago
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**Is your feature request related to a problem?**
There is no solution to upload ML models from Google Cloud buckets (or other cloud providers) to OpenSearch. The only way is to make bucket objects …
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### Community Note
* Please vote on this issue by adding a 👍 [reaction](https://blog.github.com/2016-03-10-add-reactions-to-pull-requests-issues-and-comments/) to the original issue to help the…
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### What happened?
Sample failure:
```
$ pytest apache_beam/ml/inference/tensorflow_inference_test.py::TFRunInferenceTest::test_predict_numpy_with_batch_size
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Create Python module to deploy generated ML model on the fly.
- Create step to upload model to Google Cloud Storage
- Create model version with Google REST API
- Deploy version via Google REST API
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