Version 0.2.0

[0.2.0] - 2022/05/19

Added

• automatic documentation generation using sphinx
• more documentation of layers and modules
• bit-width of quantization functions is now stored
• new layers:
  • Pact activation function
  • QEmbedding
  • QEmbeddingBag
• fvbitcore support in the example scripts for flop and model size estimation on operation level

Changed

• image classification example:
  • script now uses pytorch lightning
  • it includes distributed training capability
  • added wandb metric logging
• QConv layers can now be pickled
• Different quantized versions of LeNet available

Fixed

• a bug where layer input and weight quantization functions could not be set using command line arguments
• a bug where modules could not be imported in OS that use different path separators than '/'