2fa9ee012c | ||
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.. | ||
00_DevelopModel.ipynb | ||
01_DevelopModelDriver.ipynb | ||
02_BuildImage.ipynb | ||
03_TestLocally.ipynb | ||
04_DeployOnAKS.ipynb | ||
05_TestWebApp.ipynb | ||
06_SpeedTestWebApp.ipynb | ||
07_TearDown.ipynb | ||
README.md | ||
environment.yml | ||
testing_utilities.py |
README.md
Deploy ResNet 152 model on GPU enabled Kubernetes cluster using PyTorch
In this folder are the tutorials for deploying a PyTorch on a Kubernetes cluster.
The tutorial is made up of the following notebooks:
- Model development where we load the pretrained model and test it by using it to score images
- Developing the interface our Flask app will use to load and call the model
- Building the Docker Image with our Flask REST API and model
- Testing our Docker image before deployment
- Creating our Kubernetes cluster and deploying our application to it
- Testing the deployed model
- Testing the throughput of our model
- Cleaning the resources used