edelweiss 0.8.0rc1

[jmitrevs]

What's Changed

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

New Contributors

• @pre-commit-ci made their first contribution in [pre-commit.ci] pre-commit autoupdate #796
• @joshlerner made their first contribution in Fix loading weights in GarNetStacked and GarNet internal array precisions #827
• @qberthet made their first contribution in Fix profiling SeparableConv1D and SeparableConv2D #891

Full Changelog: v0.7.1...v0.8.0rc1

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This discussion was created from the release edelweiss 0.8.0rc1.