Adding one source multi use example code on google's colab to examples/contrib/osmu

[secutron]

First of all, I'd like to thank you all ignite team.

I thought it would be nice if there is some simple code that shows 'one source multi use(CPU/GPU/TPU)' example. So I have wrote that code using wonderful ignite functionalities.

Please let me know what you think!

[sdesrozis]

@secutron Thank you very much for your support !!

My pleasure to review your example asap 😊

[vfdev-5]

Hi @secutron, thanks a lot for your feedback about our project, kind words and the PR !

We have already provided few examples like "one source multi use(CPU/GPU/TPU)" using resnet18 on cifar10 dataset:

• https://colab.research.google.com/github/pytorch/ignite/blob/master/assets/tldr/teaser.ipynb (this colab can be found if clicks on the image in TLDR: https://github.com/pytorch/ignite#tldr)
• https://github.com/pytorch/ignite/tree/master/examples/contrib/cifar10

On the other hand, we are also refactoring our tutorials and how-to guides and we would need to provide a content such that users could easily reuse it in their own projects. cc @Priyansi can add more context on what we would like to add.

PS: recently, we introduced PyTorch-Ignite Code-Generator application : https://code-generator.pytorch-ignite.ai/ where it would be interesting to provide TPU support as an option, pytorch-ignite/code-generator#173

[secutron]

Hi @sdesrozis and @vfdev-5,

Thanks a lot for your kind reply. It will be good for me to use easy how-to guides and Code-Generator.

Cheers,

[vfdev-5]

By the way, @secutron if you would like to help improving the project, please take a look at this list of issues with good-first-issue and help-wanted labels.
Working on some of these issues would be really appreciated by the team and the community ! Thanks