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example_networks.rst 1.26 KiB

Example Networks

FINN uses several pre-trained QNNs that serve as examples and testcases.

  • TFC, SFC, LFC... are fully-connected networks trained on the MNIST dataset
  • CNV is a convolutional network trained on the CIFAR-10 dataset
  • w_a_ refers to the quantization used for the weights (w) and activations (a) in bits

These networks are built end-to-end as part of the FINN integration tests , and the key performance indicators (FPGA resource, frames per second...) are automatically posted to the dashboard below. To implement a new network, you can use the integration test code as a starting point, as well as the relevant Jupyter notebooks.

` .. image:: https://firebasestorage.googleapis.com/v0/b/drive-assets.google.com.a.appspot.com/o/Asset%20-%20Drive%20Icon512.png?alt=media

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FINN end-to-end dashboard on Google Drive <https://bit.ly/finn-end2end-dashboard>`_