I made a package, TorchLens, that can visualize the structure of any PyTorch model and extract any intermediate activations you want in one line of code.

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  • torchlens

    Package for extracting and mapping the results of every single tensor operation in a PyTorch model in one line of code.

  • You can check it out here if you're curious. You just give it any PyTorch model (no changes necessary) and an input to the model, and it spits out a data structure with a complete log of the model's forward pass (including all saved activations and a bunch of metadata about the model), and an automatic visualization showing the structure of the model. I hope it helps people out—I'm still actively developing it so lemme know if you've got any wishlist items that could make it more useful!

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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