tensorflow’s lucid
Lucid is a collection of infrastructure and tools for research in neural network interpretability.
We’re not currently supporting tensorflow 2!
If you’d like to use lucid in colab which defaults to tensorflow 2, add this magic to a cell before you import tensorflow:
%tensorflow_version 1.x
Lucid is research code, not production code. We provide no guarantee it will work for your use case. Lucid is maintained by volunteers who are unable to provide significant technical support.
Features
Lucid requires tensorflow, but does not explicitly depend on it in setup.py. Due to the way tensorflow is packaged and some deficiencies in how pip handles dependencies, specifying either the GPU or the non-GPU version of tensorflow will conflict with the version of tensorflow your already may have installed.
If you don’t want to add your own dependency on tensorflow, you can specify which tensorflow version you want lucid to install by selecting from extras_require like so: lucid[tf] or lucid[tf_gpu].