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PyTorch AI platform deployment

This is an example of how to deploy a PyTorch model on GCP AI platform.

Prerequisite

Download a pre-trained model and labels into models/ dir:

mkdir models/

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import io
import xml.etree.ElementTree as ET

class BaseElement(ET.Element):
    def __init__(self, tag, attrib={}, **extra):
        super(BaseElement, self).__init__(tag, attrib=attrib, **extra)
        self._parent = None
    
    @property
    def parent(self):

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Grid engine

The configuration is the following.

• node00: Grid master. This node has the alias name grid.
• others: Grid execution nodes.

Make sure Java is available in all nodes (via default-jre package).