Weekly blog #6 (week 12): 12/08 to 18/08

tomasb
Published: 08/19/2019

Hello there! We are at the end of GSoC! Week 12 was the last week where we’d do any major coding. We still have the next week where we do a submission (and a final check-in?), so let me keep it short and tell you what I worked on this week and what I got stuck on.

 

This week I focused on my two open PR’s - the text PR and the PyTorch PR.

 

For the text PR, I did a couple of things:

  • I updated the image tutorial and image tests with new features introduced in this PR, such as explanation “modifiers”.

  • I fleshed out (padded with comments) the text tutorial so that it looks nice.

  • I opened issues on GitHub for some TODO’s and FIXME’s.

  • One of the mentors reviewed the PR so I made any appropriate changes, including:

    • API changes - instead of letting an argument take multiple types, have separate arguments for each type.

    • An interesting change - when trying to choose a hidden layer for Grad-CAM, we will now default to one of the latter layers (closer to output). This is closer to how Grad-CAM is defined (since picking earlier layers would be like using some other gradient method for explanations).

 

One interesting issue that arose as a result of the above change (defaulting to “higher level” layers) was that my integration tests broke and the tutorial explanations didn’t look as good. With the guidance of my mentor I resolved the failing tests by explicitly picking a layer that works. For the tutorials I made a comment that using earlier layers gave better results. Interesting issues with text!

 

Next for the PyTorch PR I did the following:

  • Added code that can extract an image from an input tensor (a simple transform in torchvision), like what we do for Keras.

  • Added a very short image tutorial.

 

I got stuck on the text part of PyTorch because my test model was quite large (large word embeddings). It looks like I will have to train my own embedding layer with a small vocabulary.

 

What’s next

  • Final submission coming soon.

  • Slowly work on getting text and pytorch PR’s merged as a regular open source contributor!

    • Text PR still has some TODO’s and reviews to resolve.

    • PyTorch PR needs a text tutorial, integration tests, and unit tests. We’ll scale down so hopefully this doesn’t take too much time.

 

That’s all the technical details! I think we have one more blog next week, so I can talk about GSoC in broader terms then?

 

Thanks for reading once again!

Tomas Baltrunas

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