hls-fpga-machine-learning/hls4ml: aster

What's new:

• Support for GarNet layer (see paper)
• Input layer precision added to config generator utility
• New 'SkipOptimizers' config option. Now you can run all Optimizers by default (as in v0.3.0) but subtract any specified by 'SkipOptimizers' e.g. hls_config['SkipOptimizers'] = ['fuse_consecutive_batch_normalization']
• Print out the latency report from Cosimulation

Bugfixes:

• Fixes related to tensorflow 2.3: new Functional API, changes to handling of Input layer
• Fix error with config generator utility and activation layers gor granularity='name'
• Fix issue with reloading of emulation library after configuration change
• Fix to handling of layers with use_bias=False and merged Dense and BatchNormalization