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gnn-db-blogpost's Introduction

Hi there ๐Ÿ‘‹

  • ๐Ÿ”ญ Iโ€™m currently working on ML ๐Ÿค– solutions for communications, media and entertainment (CME) ๐Ÿ“ก.
  • ๐ŸŒฑ Iโ€™m currently learning the CME domain and Databricks field engineering practice.
  • ๐Ÿ‘ฏ Iโ€™m looking to collaborate on any ML projects related to CME!
  • ๐Ÿค” Iโ€™m looking for help with how to be a more effective and productive author and OSS contributor.
  • ๐Ÿ’ฌ Ask me about anything related to programming, system design, machine learning and data science.
  • ๐Ÿ“ซ How to reach me: [email protected].
  • ๐Ÿ˜„ Pronouns: He/Him
  • ๐Ÿ™ˆ My personal GitHub account โžก https://github.com/coreyabshire

gnn-db-blogpost's People

Contributors

coreyabs-db avatar data-drone avatar grandintegrator avatar

gnn-db-blogpost's Issues

Make sure it works with GPU as expected

Ran into a couple of rough edges in trying to run on CUDA:

  1. The model wasn't moved to GPU if CUDA was specified so it failed immediately because of that.
  2. The compute_auc_ap utility function didn't move back to CPU where needed.
  3. It still doesn't seem to be fully using the GPU after fixing those two, not sure why.
  4. There are several places to change in the code to move over. Would be nice to either auto-detect GPU or provide a single configuration variable or widget to make it easier to switch.
  5. It also doesn't properly move the inputs over in the evaluate function.

Formatting is inconsistent

Make formatting consistent throughout. In some cases its two spaces, in others four spaces.

Would be nice to just have it be consistently four spaces everywhere.

Update to latest edge loaders.

DGL deprecated EdgeDataLoader a while back but provided a replacement.

Just need to adopt that to be able to use the latest.

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