Xilinx/brevitas: Release v0.10.1

Highlights

• A2Q+ support paper
• A2Q+ examples with CIFAR10 and Super Resolution
• Support for concatenation equalization for weights and activations
• Support for GPFQ + A2Q L1 Norm bound
• Possibility to explicitly export Q node for weights in QCDQ export
• Support for float16 and bfloat16 for QCDQ export
• Support for Dynamic Activation Quantization for ONNX QDQ export
• Support for channel-splitting paper
• (Beta) Better compatibility with Huggingface accelerate and optimum
• (Beta) Improved support and testing for minifloat quantization

What's Changed

• Fix (examples/generative): set weight_bit_width in weight_quant by @Giuseppe5 in https://github.com/Xilinx/brevitas/pull/783
• Feat (graph/equalize): improvements for llm equalization by @Giuseppe5 in https://github.com/Xilinx/brevitas/pull/784
• [graph] Fix typo in class name by @nickfraser in https://github.com/Xilinx/brevitas/pull/765
• Fix (graph/equalize): refactor for act equalization by @Giuseppe5 in https://github.com/Xilinx/brevitas/pull/787
• [quant_tensor] Updates __truediv__ behaviour to match "standard fixed point rules" by @nickfraser in https://github.com/Xilinx/brevitas/pull/769
• Feat (export): (b)float16 support for qcdq export by @Giuseppe5 in https://github.com/Xilinx/brevitas/pull/776
• Feat (ptq): Adding A2Q Upper Bound clipping to GPFQ by @fabianandresgrob in https://github.com/Xilinx/brevitas/pull/734
• Extended equalization by @Giuseppe5 in https://github.com/Xilinx/brevitas/pull/778
• Better Bfloat16 support by @Giuseppe5 in https://github.com/Xilinx/brevitas/pull/777
• Fix (stats): add return statement in state_dict by @Giuseppe5 in https://github.com/Xilinx/brevitas/pull/792
• Fix (equalize): improved cat eq checks by @Giuseppe5 in https://github.com/Xilinx/brevitas/pull/793
• Fix (export): add CastMixin by @Giuseppe5 in https://github.com/Xilinx/brevitas/pull/794
• Dynamic Act Quant support by @Giuseppe5 in https://github.com/Xilinx/brevitas/pull/796
• Fix (examples/quantizers): correct dynamic zero point handling by @Giuseppe5 in https://github.com/Xilinx/brevitas/pull/806
• Feat (a2q+): improving accumulator-aware weight quantization by @i-colbert in https://github.com/Xilinx/brevitas/pull/797
• Feat (a2q+): adding new super resolution models to brevitas_examples by @i-colbert in https://github.com/Xilinx/brevitas/pull/811
• Feat (Channel-Splitting): sets up first skeleton for channel-splitting by @fabianandresgrob in https://github.com/Xilinx/brevitas/pull/772
• Feat: support for optimum by @Giuseppe5 in https://github.com/Xilinx/brevitas/pull/826
• Fix (tests): adding tests for FloatQuant by @fabianandresgrob in https://github.com/Xilinx/brevitas/pull/815
• Fix (export): correct q node export by @Giuseppe5 in https://github.com/Xilinx/brevitas/pull/829
• Fix (examples/llm): correct groupwise export by @Giuseppe5 in https://github.com/Xilinx/brevitas/pull/832
• Fix (examples/super_res): updating README by @i-colbert in https://github.com/Xilinx/brevitas/pull/828
• Fix (examples/export): improved export by @Giuseppe5 in https://github.com/Xilinx/brevitas/pull/838
• Fix (graph/equalize): cleanup and device management by @Giuseppe5 in https://github.com/Xilinx/brevitas/pull/840
• Feat (examples/a2q): adding CIFAR10 example by @i-colbert in https://github.com/Xilinx/brevitas/pull/813
• Fix (export): check for Per Group quantization by @Giuseppe5 in https://github.com/Xilinx/brevitas/pull/848

Full Changelog: https://github.com/Xilinx/brevitas/compare/v0.10.0...v0.10.1