[New Sample ] PyTorch Classification Sample with rocCV preprocessing

[paveltc]

Motivation

This is a PyTorch classification sample that demonstrates how to use rocCV to preprocess an image for running inference on in PyTorch using the resnet50 model.

Technical Details

rocCV needs to be built with Python3.11 to run this sample.

Test Plan

Make sure rocCV is built and installed properly with all Python tests passing.
Run the classification sample and check that the image is being classified correctly.
Use an image that is easy to check the classification of.

Test Result

I have tested the sample with a known image and the classification results were correct.

Submission Checklist

• Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests.

[codecov-commenter]

Codecov Report

✅ All modified and coverable lines are covered by tests.

Additional details and impacted files

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