edelweiss 0.8.0

What's Changed

• Decouple pipeline style from strategy by @vloncar in #781
• Don't use reader in ModelGraph and layers by @vloncar in #770
• Remove tf_to_hls by @vloncar in #795
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #796
• Fix parsing of QConv2DBatchnorm weights by @vloncar in #802
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #801
• Discussion - Inlined Conv slows down latency significantly (up to x15 - x20) by @bo3z in #800
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #807
• Fix over-allocation of bits for quantised po2 by @bo3z in #806
• Propagate zeros from Conv layers to multiplication config by @bo3z in #797
• Fix Vitis Conv1D/2D latency strategy by @vloncar in #815
• Improved parsing of pytorch models using torch.FX - Clean by @JanFSchulte in #799
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #816
• Support for parsing nested models by @vloncar in #794
• Fix loading weights in n-dim dense -> 1x1 conv by @vloncar in #821
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #828
• Fix loading weights in GarNetStacked and GarNet internal array precisions by @joshlerner in #827
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #830
• Fix profiling for GRU/LSTM by @drankincms in #833
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #835
• remove obsolete and unused docker directory by @jmitrevs in #836
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #842
• Remove obsolete parameter mapping between pytorch and keras by @JanFSchulte in #847
• Make binary CNN match between Keras and hls4ml by @jmitrevs in #804
• No longer make ExponentPrecisionType and XnorPrecisionType inherit from IntegerPrecisionType by @jmitrevs in #845
• Add support for flattening to the pytorch parser by @JanFSchulte in #852
• Add option to configure IP version by @AdrianAlan in #851
• Bug fix for named nn.Sequential in pytorch parser by @JanFSchulte in #848
• Add QDepthwiseConv2D, DepthwiseConv2D, DepthwiseConv1D support by @jmitrevs in #834
• Symbolic expressions in hls4ml by @vloncar in #660
• Update dependencies, add testing extras by @jmitrevs in #837
• Bump actions/checkout from 3 to 4 by @dependabot in #866
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #869
• try to use new runners for gitlab CI by @jmitrevs in #879
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #880
• Fix weight precision format string by @vloncar in #877
• add acknowledgments by @jmduarte in #862
• Support for quantized SeparableConv1D/2D by @vloncar in #861
• Speed up Keras profiling by @AdrianAlan in #863
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #882
• Fix profiling SeparableConv1D and SeparableConv2D by @qberthet in #891
• Add support for filt_height==1 for streaming quartus conv2d by @jmitrevs in #886
• Fix config structure name in pragma for SeparableConv1D by @qberthet in #884
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #895
• Fix bit overflow with softmax by @calad0i in #887
• bump 0.8.0rc1 by @jmitrevs in #915
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #902
• Add funding acknowledgements by @jmduarte in #918
• Fix fetching models from example-models repo by @vloncar in #919
• add blank line to make rst format correct by @jmitrevs in #923
• Update default FPGA part number from KU115 to VU13P by @jmduarte in #924
• update to 0.8.0 by @jmitrevs in #925

New Contributors

• @pre-commit-ci made their first contribution in #796
• @joshlerner made their first contribution in #827
• @qberthet made their first contribution in #891

Full Changelog: v0.7.1...v0.8.0