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WEEK-10-20.md

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Week of 10/20/2019

Brief Reminder: We are building Vizstack: a suite of programming tools that visualize code structure & execution — for better understanding & simpler debugging in existing languages. Consider the last time you encountered an unfamilar codebase or had to debug a nasty algorithm. We believe that this code complexity can be tamed with better developer tools. We believe the time is right to reinvent the programming experience, so that developers can build bigger, faster, safer, and more intricate software.

To learn more, visit the home page.

A crucial part of our visualization library is being able to visualize graphs. For various reasons outlined here, we've decided to develop our own graph layout library called nodal.

1. Improve vz-pytorch computation graph visualizer

We're continuing to work on our graph component for a neural network interpretability tool. This a great use case for many components of the Vizstack ecosystem: core, vz-logger, and nodal.

vz-pytorch

The edges aren't the most pretty right now, because we haven't implemented orthogonal edge routing yet.

This week, we focused on:

  • Rendering a better SqueezeNet/ResNet
  • Improving alignment on RNNs
  • Showing nn.Module info in graph
  • Showing nn.Tensor data
  • Documenting API for vz-pytorch

repo: https://github.com/vizstack/vz-pytorch