Hls4ml

* A new QONNX frontend by jmitrevs introduced in https://github.com/fastmachinelearning/hls4ml/pull/979
* The ability for hls4ml to automatically infer the precision of data types by vloncar introduced in https://github.com/fastmachinelearning/hls4ml/pull/855
* The addition of an experimental backend for Intel oneAPI by jmitrevs introduced in https://github.com/fastmachinelearning/hls4ml/pull/955
* The addition of a backend for Siemens Catapult by dgburnette in https://github.com/fastmachinelearning/hls4ml/pull/956
* Added support for HGQ proxy models by calad0i in https://github.com/fastmachinelearning/hls4ml/pull/914
* An API for hardware-aware optimization by bo3z in https://github.com/fastmachinelearning/hls4ml/pull/768 and https://github.com/fastmachinelearning/hls4ml/pull/809

The full list of other improvements and fixes is:
* [pre-commit.ci] pre-commit autoupdate by pre-commit-ci in https://github.com/fastmachinelearning/hls4ml/pull/949
* [pre-commit.ci] pre-commit autoupdate by pre-commit-ci in https://github.com/fastmachinelearning/hls4ml/pull/953
* hls4ml Optimization API [Part 1] by bo3z in https://github.com/fastmachinelearning/hls4ml/pull/768
* QKeras support for RNN layers by laurilaatu in https://github.com/fastmachinelearning/hls4ml/pull/856
* [pre-commit.ci] pre-commit autoupdate by pre-commit-ci in https://github.com/fastmachinelearning/hls4ml/pull/962
* Try to fix sphinx problem by restricting tensorflow-model-optimization by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/967
* Bump pre-commit/action from 3.0.0 to 3.0.1 by dependabot in https://github.com/fastmachinelearning/hls4ml/pull/968
* Change fractional (and others) to be a property, move quantizers by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/964
* [pre-commit.ci] pre-commit autoupdate by pre-commit-ci in https://github.com/fastmachinelearning/hls4ml/pull/969
* [pre-commit.ci] pre-commit autoupdate by pre-commit-ci in https://github.com/fastmachinelearning/hls4ml/pull/971
* vitis backend tarball fix by calad0i in https://github.com/fastmachinelearning/hls4ml/pull/972
* remove special vitis version of nnet_dense_resource.h by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/975
* Allow Vitis synthesis tests by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/927
* Fix cleanup of synthesis tests (leftover from 927) by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/989
* Fix sphinx by pinning tensorflow<=2.15 by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/992
* [pre-commit.ci] pre-commit autoupdate by pre-commit-ci in https://github.com/fastmachinelearning/hls4ml/pull/984
* add clock uncertainty configuration option by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/870
* Stage initial set of changes for the Catapult backend by dgburnette in https://github.com/fastmachinelearning/hls4ml/pull/956
* [pre-commit.ci] pre-commit autoupdate by pre-commit-ci in https://github.com/fastmachinelearning/hls4ml/pull/999
* fix unwanted tested file change in 956 by calad0i in https://github.com/fastmachinelearning/hls4ml/pull/1000
* Fix SR backend synth missing variables by bo3z in https://github.com/fastmachinelearning/hls4ml/pull/993
* Upsampling support for PyTorch models by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/977
* Split fpga_types into separate files by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/998
* Support negative_slope in quantized_relu by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/987
* Group more tests per YAML to reduce the number of envs created by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/996
* Automatic precision inference by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/855
* Remove unnecessary transposes related to conversion to channels_last format by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/976
* Update pytest docker image to 0.5.4 by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/1005
* Fix pre-commit warning and change '.h5' to '.keras' for written output by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/1006
* Fix extension test for Keras v3 by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/1009
* [pre-commit.ci] pre-commit autoupdate by pre-commit-ci in https://github.com/fastmachinelearning/hls4ml/pull/1007
* updated pytest docker image by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/1017
* SepConv1d/2d for io_parallel with Latency strategy by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/1012
* [pre-commit.ci] pre-commit autoupdate by pre-commit-ci in https://github.com/fastmachinelearning/hls4ml/pull/1021
* [pre-commit.ci] pre-commit autoupdate by pre-commit-ci in https://github.com/fastmachinelearning/hls4ml/pull/1023
* Latency Pooling Header Updates by calad0i in https://github.com/fastmachinelearning/hls4ml/pull/973
* Make im2col default option for quartus by calad0i in https://github.com/fastmachinelearning/hls4ml/pull/1010
* add protection for when kernel_quantizer is None by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/997
* prevent test directory overwrites for activation by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/1031
* Update Jenkinsfile to use new Docker image and Python 3.10 environment by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/1033
* clean-up test ci yaml generater by calad0i in https://github.com/fastmachinelearning/hls4ml/pull/1036
* Add View to layer name map for pytorch parser by JanFSchulte in https://github.com/fastmachinelearning/hls4ml/pull/1039
* Add RNN support for Pytorch by JanFSchulte in https://github.com/fastmachinelearning/hls4ml/pull/850
* Add Vitis to pytorch API tests by JanFSchulte in https://github.com/fastmachinelearning/hls4ml/pull/1040
* clean up mult-dimensional dense by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/1042
* Add namespaces and optional writer config by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/986
* [pre-commit.ci] pre-commit autoupdate by pre-commit-ci in https://github.com/fastmachinelearning/hls4ml/pull/1044
* Add support for HGQ proxy model by calad0i in https://github.com/fastmachinelearning/hls4ml/pull/914
* Bug Fix for Operand Shape Mismatch in BatchNorm Fusion (PyTorch) by sei-rquartiano in https://github.com/fastmachinelearning/hls4ml/pull/1045
* remove precision settings that make pytest for batchnorm in pytorch fail by JanFSchulte in https://github.com/fastmachinelearning/hls4ml/pull/1053
* [pre-commit.ci] pre-commit autoupdate by pre-commit-ci in https://github.com/fastmachinelearning/hls4ml/pull/1047
* rm slow mnist training in test by calad0i in https://github.com/fastmachinelearning/hls4ml/pull/1018
* Add an optimizer to replace SeparableConv by Depthwise + Conv (pointwise) by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/1022
* Add functionality to use granularity option also for pytorch models by JanFSchulte in https://github.com/fastmachinelearning/hls4ml/pull/1051
* Update pooling logic for Vivado, Vitis, and Catapult backends by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/1056
* remove padding attribute by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/1061
* Run long-running pytests out of the batch by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/1062
* Fix tanh activiation in pytorch parser by JanFSchulte in https://github.com/fastmachinelearning/hls4ml/pull/1055
* make auto the default for layer config by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/1016
* remove checks on 'padding' that were missed in previous PR by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/1064
* Remove extras flow by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/1067
* Expose alpha and theta type for parametrized activations by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/1069
* Raise exception on compile errors by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/1068
* update qkeras in Jenkinsfile by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/1072
* [pre-commit.ci] pre-commit autoupdate by pre-commit-ci in https://github.com/fastmachinelearning/hls4ml/pull/1075
* hls4ml Optimization API [Part 2] by bo3z in https://github.com/fastmachinelearning/hls4ml/pull/809
* Hardcore weight txt path by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/1089
* quote the ${WEIGHT_DIR} to handle special characters by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/1091
* Beginnings of the oneAPI backend by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/955
* update keras activation parsing, especially leaky relu by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/1085
* Fix softmax parsing in pytorch and add test by JanFSchulte in https://github.com/fastmachinelearning/hls4ml/pull/1086
* [pre-commit.ci] pre-commit autoupdate by pre-commit-ci in https://github.com/fastmachinelearning/hls4ml/pull/1098
* Change indexing in filling result for io_parallel convolutions, Vitis by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/1102
* Update QONNX parsing for 1.0 by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/979
* remove incorrect input from Constant nodes by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/1119
* add max_precision to onnx parser by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/1113
* Add RF to config templates for "Merge" layers by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/1121
* Add doc for HGQ by calad0i in https://github.com/fastmachinelearning/hls4ml/pull/1117
* Multi output fix 2 by calad0i in https://github.com/fastmachinelearning/hls4ml/pull/1103
* Make auto default precision for pytorch parser by JanFSchulte in https://github.com/fastmachinelearning/hls4ml/pull/1112
* remove incorrect setting of result_t by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/1130
* Fix problem with scale being a multidimensional array. by jurevreca12 in https://github.com/fastmachinelearning/hls4ml/pull/1132
* Added support for QONNX `Resize` node ingestion and tested with tiny UNet model by nghielme in https://github.com/fastmachinelearning/hls4ml/pull/1122
* Update install_requires for 1.0.0 by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/1136
* Pointwise Conv1D with code generation for "Latency" strategy (update of 811) by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/881
* Introduce optional description to layer attributes by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/1127
* Qonnx warnings by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/1142
* Fixes to parsing of pytorch models when using torch functionals by JanFSchulte in https://github.com/fastmachinelearning/hls4ml/pull/1143
* Update README.md for v1.0.0 by bo3z in https://github.com/fastmachinelearning/hls4ml/pull/1100
* Temporary workaround for QKeras installation by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/1145

New Contributors
* laurilaatu made their first contribution in https://github.com/fastmachinelearning/hls4ml/pull/856
* dgburnette made their first contribution in https://github.com/fastmachinelearning/hls4ml/pull/956
* sei-rquartiano made their first contribution in https://github.com/fastmachinelearning/hls4ml/pull/1045
* jurevreca12 made their first contribution in https://github.com/fastmachinelearning/hls4ml/pull/1132

**Full Changelog**: https://github.com/fastmachinelearning/hls4ml/compare/v0.8.1...v1.0.0

What's Changed
* Fix for 905 by calad0i in https://github.com/fastmachinelearning/hls4ml/pull/906
* [pre-commit.ci] pre-commit autoupdate by pre-commit-ci in https://github.com/fastmachinelearning/hls4ml/pull/921
* Fix logos in README.md by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/930
* Fix writer precision when fp bits >= 14 by calad0i in https://github.com/fastmachinelearning/hls4ml/pull/909
* Let repack_stream optimizer inheirt original precision by calad0i in https://github.com/fastmachinelearning/hls4ml/pull/907
* Update A3D3 grant no. by schsu in https://github.com/fastmachinelearning/hls4ml/pull/941
* Add precision inherition for when generating stream clone by calad0i in https://github.com/fastmachinelearning/hls4ml/pull/911
* [pre-commit.ci] pre-commit autoupdate by pre-commit-ci in https://github.com/fastmachinelearning/hls4ml/pull/942
* Quartus multi out with stream fix by calad0i in https://github.com/fastmachinelearning/hls4ml/pull/908
* Fix profiling for Keras LSTM layers. by Landay7 in https://github.com/fastmachinelearning/hls4ml/pull/940
* Fix for multiple inputs that may get out of order by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/937
* [pre-commit.ci] pre-commit autoupdate by pre-commit-ci in https://github.com/fastmachinelearning/hls4ml/pull/944
* Bump actions/upload-artifact from 3 to 4 by dependabot in https://github.com/fastmachinelearning/hls4ml/pull/943
* better repalce_node fn by calad0i in https://github.com/fastmachinelearning/hls4ml/pull/934
* bump to 0.8.1 by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/945

New Contributors
* schsu made their first contribution in https://github.com/fastmachinelearning/hls4ml/pull/941
* Landay7 made their first contribution in https://github.com/fastmachinelearning/hls4ml/pull/940

**Full Changelog**: https://github.com/fastmachinelearning/hls4ml/compare/v0.8.0...v0.8.1

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

New Contributors
* pre-commit-ci made their first contribution in https://github.com/fastmachinelearning/hls4ml/pull/796
* joshlerner made their first contribution in https://github.com/fastmachinelearning/hls4ml/pull/827
* qberthet made their first contribution in https://github.com/fastmachinelearning/hls4ml/pull/891

**Full Changelog**: https://github.com/fastmachinelearning/hls4ml/compare/v0.7.1...v0.8.0

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

New Contributors
* pre-commit-ci made their first contribution in https://github.com/fastmachinelearning/hls4ml/pull/796
* joshlerner made their first contribution in https://github.com/fastmachinelearning/hls4ml/pull/827
* qberthet made their first contribution in https://github.com/fastmachinelearning/hls4ml/pull/891

**Full Changelog**: https://github.com/fastmachinelearning/hls4ml/compare/v0.7.1...v0.8.0rc1

What's Changed
* bump version to v0.7.0 by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/778
* Fix for 2D conv layers in the special case of io_parallel with full parallelization by drankincms in https://github.com/fastmachinelearning/hls4ml/pull/760
* Fix RNN layers when strategy=resource by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/780
* Update Jenkins test environment to avoid dependency hell by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/786
* Explicitly set strategy for pointwise conv by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/785
* Minor docs fixes for 0.7.1 by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/788
* bump 0.7.1 by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/791


**Full Changelog**: https://github.com/fastmachinelearning/hls4ml/compare/v0.7.0...v0.7.1

What's Changed
* fix conv1d io_parallel resource by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/403
* Speed up CI tests by thesps in https://github.com/fastmachinelearning/hls4ml/pull/407
* Fix GlobalPooling1D Layers by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/399
* Fix batched multiple inputs by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/414
* Fixed 'qkeras_mnist_dense' example build problem 423 by siorpaes in https://github.com/fastmachinelearning/hls4ml/pull/424
* Update for pyyaml 6.0 by thesps in https://github.com/fastmachinelearning/hls4ml/pull/435
* `axi_stream_driver` update by nicologhielmetti in https://github.com/fastmachinelearning/hls4ml/pull/420
* Reshape fixes: don't repack stream for flatten; remove final reshape by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/443
* Fix Conv2D with `io_type = io_parallel` & `Strategy: Resource` by thesps in https://github.com/fastmachinelearning/hls4ml/pull/448
* Support applying Softmax over multidimensional tensors by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/384
* Disable some unsupported layers by thesps in https://github.com/fastmachinelearning/hls4ml/pull/447
* Fixes: quantized_relu & unsigned profiling part II by thesps in https://github.com/fastmachinelearning/hls4ml/pull/441
* GarNet and GarNetStack in config.py by yiiyama in https://github.com/fastmachinelearning/hls4ml/pull/344
* support ZeroPadding layers by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/480
* New backend development framework by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/395
* Register `ApplyAlpha` layer templates by thesps in https://github.com/fastmachinelearning/hls4ml/pull/499
* Parsing extended by nicologhielmetti in https://github.com/fastmachinelearning/hls4ml/pull/501
* Remove intermediate casting in product by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/490
* Add QKeras as a package dependency by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/511
* Copy flows from config by thesps in https://github.com/fastmachinelearning/hls4ml/pull/510
* VivadoAccelerator backend updates by thesps in https://github.com/fastmachinelearning/hls4ml/pull/508
* Optimized look-up table by nemerchiedde in https://github.com/fastmachinelearning/hls4ml/pull/527
* Upsampling2D test case by ChiRuiChen in https://github.com/fastmachinelearning/hls4ml/pull/520
* Support UpSampling1D by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/475
* RNN support (part 1) by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/521
* Quartus Custom Matrix Multiplication & Quantization by bo3z in https://github.com/fastmachinelearning/hls4ml/pull/523
* Vivado-equivalent implementation of Softmax on Quartus by bo3z in https://github.com/fastmachinelearning/hls4ml/pull/540
* Ensure 2 bits for scale in po2 quantizers by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/531
* Link update by bkmgit in https://github.com/fastmachinelearning/hls4ml/pull/519
* Fix removal of nodes ingested by multiple downstream nodes by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/544
* Enable SeparableConv2d by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/547
* Extension API by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/528
* change string ReuseFactor to int by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/416
* Make the size of bn scale and bias what they really are by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/532
* Raise runtime error when a layer is named `input` by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/482
* fix insertion before a node with multiple inputs + support additional broadcasting by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/551
* Pointwise conv1d/2d resource by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/471
* Quartus Embedding Layer by bo3z in https://github.com/fastmachinelearning/hls4ml/pull/548
* Fix for QActivations passed as an argument by AdrianAlan in https://github.com/fastmachinelearning/hls4ml/pull/553
* Don't override precision directly in the QKeras optimizer by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/567
* Remove the in/out size from top function by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/559
* Transpose2d, Concatenate2d, and up to 3 Clones for io_stream by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/402
* Remove io_serial as io_stream and add some more info in docs. by Duchstf in https://github.com/fastmachinelearning/hls4ml/pull/334
* Update docs for v0.6.0 by thesps in https://github.com/fastmachinelearning/hls4ml/pull/453
* Use correct number of args for multiple outputs by apfusco in https://github.com/fastmachinelearning/hls4ml/pull/487
* Fixed a few typos in the documentation by pitmonticone in https://github.com/fastmachinelearning/hls4ml/pull/467
* returning integer from _compute_n_samples by JochiSt in https://github.com/fastmachinelearning/hls4ml/pull/537
* Providing support for Alveo boards by selwyn96 in https://github.com/fastmachinelearning/hls4ml/pull/552
* Make layer names case sensitive in config. by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/577
* Add issue and PR templates by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/582
* Vivado Backend GRU/LSTM support by drankincms in https://github.com/fastmachinelearning/hls4ml/pull/560
* Update CI template syntax by thesps in https://github.com/fastmachinelearning/hls4ml/pull/593
* Update flow dependencies by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/588
* Fix parsing of ZeroPadding layers by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/595
* remove cppname by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/562
* Remove email helpline from the docs by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/601
* Fixes for GRU/LSTM in Vivado backend by drankincms in https://github.com/fastmachinelearning/hls4ml/pull/598
* Remove io_serial by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/609
* Fix test_graph by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/611
* Override parent backend optimizer passes with derived backend passes by thesps in https://github.com/fastmachinelearning/hls4ml/pull/597
* Enforce function pipelining when using io_parallel with Resource strategy by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/605
* FIFO depth optimization by nicologhielmetti in https://github.com/fastmachinelearning/hls4ml/pull/509
* Add tracing support for the quartus backend by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/583
* Quartus streaming support for Activations, Dense & Batch Normalization by bo3z in https://github.com/fastmachinelearning/hls4ml/pull/557
* QConv alpha != 1 bug fix by bo3z in https://github.com/fastmachinelearning/hls4ml/pull/612
* Quartus Stream Embedding by bo3z in https://github.com/fastmachinelearning/hls4ml/pull/625
* change master to main by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/602
* Edit order of the optimizers in the flow so that BramFactor is followed by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/621
* Softmax LUT Optimization by bo3z in https://github.com/fastmachinelearning/hls4ml/pull/570
* Quartus Synthesis Flow Improvement by bo3z in https://github.com/fastmachinelearning/hls4ml/pull/618
* Quartus Extensions by bo3z in https://github.com/fastmachinelearning/hls4ml/pull/628
* Quartus GRU by bo3z in https://github.com/fastmachinelearning/hls4ml/pull/596
* Quartus Merge layers by bo3z in https://github.com/fastmachinelearning/hls4ml/pull/634
* fix nondefault project name handling by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/626
* Fix parsing of logic synthesis reports by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/639
* Fix conv1d stream implementation hls directives by Jonathan-Shoemaker in https://github.com/fastmachinelearning/hls4ml/pull/635
* Implementation and optimizations linked to Simple-RNN and LSTM for qu… by nemerchiedde in https://github.com/fastmachinelearning/hls4ml/pull/575
* Softsign optimization by nemerchiedde in https://github.com/fastmachinelearning/hls4ml/pull/585
* Parallel CNNs, Pooling & Image Layers for Quartus Backend by bo3z in https://github.com/fastmachinelearning/hls4ml/pull/561
* Quartus Streaming Softsign (PR 585 contd.) by bo3z in https://github.com/fastmachinelearning/hls4ml/pull/655
* Remove final reshapes even for Quartus by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/661
* Unrolled CNN implementation by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/600
* the strategy was not propagated in the pytest by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/663
* Fix keras model loading issue with loading model with KerasH5 by calad0i in https://github.com/fastmachinelearning/hls4ml/pull/664
* append applied_flows container before filling instead of after by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/641
* set version using `setuptools_scm` by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/479
* Argmax Softmax by bo3z in https://github.com/fastmachinelearning/hls4ml/pull/627
* Fix version extraction in Sphinx config by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/669
* Add requested citations to README by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/615
* skip BatchNorm fusion when input/output is used multiple times by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/481
* Use wider accum_t for (average) pooling by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/681
* Quartus Streaming Conv, Pooling & Image layers by bo3z in https://github.com/fastmachinelearning/hls4ml/pull/656
* Create branch on PR by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/636
* Delete `example-prjs` directory by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/682
* Adiabatically turn on `pre-commit` by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/678
* Add causal padding by cgutsche in https://github.com/fastmachinelearning/hls4ml/pull/688
* Update `pre-commit` GitHub Action by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/689
* New config_from_keras_model by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/690
* remove obsolete np.int and np.float by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/703
* Update p-clang-format to work on mac by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/704
* Fix function call in Alveo tcl script by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/694
* add readme for contrib by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/706
* WIP Add custom KL loss layer HLS implementation by katyagovorkova in https://github.com/fastmachinelearning/hls4ml/pull/606
* Fix incorrectly linted build() command by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/709
* For encoded convolution, add check for when min_width would have been larger than in_width by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/610
* fifo_depth_optimization flow require ip, not writer, before running by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/642
* update isort to fix pre-commit by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/719
* Fixed sign parsing for ac_fixed and ac_int by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/727
* Correctly expand dims of pointwise layer by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/715
* Support keepdims in GlobalPooling layers by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/716
* Register layer attributes in VivadoAccelerator backend by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/724
* Add quantized sigmoid, fix quantized tanh for QKeras by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/569
* print_vivado_report function for nicer reports by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/730
* Quartus bram factor by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/700
* Fix inplace variables by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/714
* Fix for cloned stream that is subsequently flattened by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/708
* Vitis HLS backend by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/629
* Update documentation for v0.7.0 release by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/710
* Fix release notes + version in docs by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/742
* Fix precommits by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/741
* mv `dependabot.yml` by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/743
* Bump actions/setup-python from 2 to 4 by dependabot in https://github.com/fastmachinelearning/hls4ml/pull/748
* fix Vitis pragmas messed up by pre-commit by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/751
* Additional cleanup of the codebase by vloncar in https://github.com/fastmachinelearning/hls4ml/pull/750
* Fix for BatchNormalization layers with `center=False` or `scale=False` by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/754
* Remove references to GPL since we now use a different license by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/761
* Fix pooling layers when padding is applied from the left/top by JanFSchulte in https://github.com/fastmachinelearning/hls4ml/pull/757
* Further update documentation for 0.7.0 by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/744
* Update pypi-publish.yml by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/763
* Fix pypi version by jmduarte in https://github.com/fastmachinelearning/hls4ml/pull/766
* add a default weight_size by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/772
* CNNs with binary inputs and weights need fixes by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/749
* Minor documentation updates by jmitrevs in https://github.com/fastmachinelearning/hls4ml/pull/774

New Contributors
* siorpaes made their first contribution in https://github.com/fastmachinelearning/hls4ml/pull/424
* nemerchiedde made their first contribution in https://github.com/fastmachinelearning/hls4ml/pull/527
* ChiRuiChen made their first contribution in https://github.com/fastmachinelearning/hls4ml/pull/520
* bo3z made their first contribution in https://github.com/fastmachinelearning/hls4ml/pull/523
* bkmgit made their first contribution in https://github.com/fastmachinelearning/hls4ml/pull/519
* apfusco made their first contribution in https://github.com/fastmachinelearning/hls4ml/pull/487
* pitmonticone made their first contribution in https://github.com/fastmachinelearning/hls4ml/pull/467
* JochiSt made their first contribution in https://github.com/fastmachinelearning/hls4ml/pull/537
* selwyn96 made their first contribution in https://github.com/fastmachinelearning/hls4ml/pull/552
* Jonathan-Shoemaker made their first contribution in https://github.com/fastmachinelearning/hls4ml/pull/635
* calad0i made their first contribution in https://github.com/fastmachinelearning/hls4ml/pull/664
* cgutsche made their first contribution in https://github.com/fastmachinelearning/hls4ml/pull/688
* dependabot made their first contribution in https://github.com/fastmachinelearning/hls4ml/pull/748
* JanFSchulte made their first contribution in https://github.com/fastmachinelearning/hls4ml/pull/757

**Full Changelog**: https://github.com/fastmachinelearning/hls4ml/compare/v0.6.0...v0.7.0