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The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in a local environment to distributed training in the cloud.

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When using TensorFlow Cloud, it would be great if we could deploy or download the trained model using the AI Platform UI: ![8HHws5MkeedV4u5](https://user-images.githubusercontent.com/1190441/98285444-67dbb580-1f57-11eb-8aa8-e162e25832b1.png) The 2 buttons in the screenshot above...

Feedback from Yixing Fu: Runtime Error: There was an error executing the cloud build job. Job status: WORKING. This error description is not very helpful. Also from GCP console the...

bug

github actions currently only runs on core tests ... this is to add github actions for cloud_fit and cloudtuner

enhancement

"Ideally people shouldn't have to configure a Docket image bucket, we should offer this as a service." - fchollet@

Is it possible to use `tensorflow-cloud`, with custom training loop on TPU ? I have checked both CTL and TPU example both. The CTL example explicitly defines the distribution strategy...

This is a tracking task to add a license checker to Github Actions CI to ensure files without license are not checked in accidentally. This should cover .cpp & .py...

enhancement

tensorflow_cloud/core/tests/unit/deploy_test.py line 32: from mock import call, patch: Ambiguous import: "call" from package "mock": cannot determine whether "call" is an attribute on the package, or a module . line 32:...