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kustomize deployments and skaffolding for Label_MIcroservice #93
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* This PR provides a kustomize package to deploy the label microservice
* Also add a skaffolding config for the Label_Microservice
* Remove the old YAML deployment files for the Label Microservice.
* Edit the worker Dockerfile
* Use TensorFlow 1.15.0 rather than using the "latest" image
* We can also use a regular TensorFlow image and not a GPU version
since this is just for inference and so we shouldn't need GPUs
* Create a new requirements.worker.txt to only include the libraries that
are needed in the worker. This should be much smaller than the uber
set of python libraries (e.g. we don't need Jupyter, fairing, etc...)
* Create requirements.universal_model.txt to contain some of the required
python dependencies for the universal model.
* Universal model is using ktext and some other libraries.
* Add a prod overlay for the issue_embedding service.
* create_secrets.py is a helper script for creating the required secrets
in the clusters based on files in GCS.
Related to kubeflow#70 ensemble models.
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/assign @hamelsmu |
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/approve |
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: hamelsmu The full list of commands accepted by this bot can be found here. The pull request process is described here
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This PR provides a kustomize package to deploy the label microservice
Also add a skaffolding config for the Label_Microservice
Remove the old YAML deployment files for the Label Microservice.
Edit the worker Dockerfile
Use TensorFlow 1.15.0 rather than using the "latest" image
We can also use a regular TensorFlow image and not a GPU version
since this is just for inference and so we shouldn't need GPUs
Create a new requirements.worker.txt to only include the libraries that
are needed in the worker. This should be much smaller than the uber
set of python libraries (e.g. we don't need Jupyter, fairing, etc...)
Create requirements.universal_model.txt to contain some of the required
python dependencies for the universal model.
Add a prod overlay for the issue_embedding service.
create_secrets.py is a helper script for creating the required secrets
in the clusters based on files in GCS.
Related to #70 ensemble models.
This change is