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- Add hyperparameter optimisation for the fine-tuning interface - Modified config access from dictionary to object with the help of Pydantic
…er option for weight layers
… values for data and weights
…to one layer. Fixed bugs, added new values to quantization config
…bits in one loop. Enable pruning as parameter to layers, quantization bits as parameters to conv layers
… in __init__, bug fixes for keras layer replacement. Training parameter to quantizers to enable WRAP mode
…r EBOPs calculation to 1. Enable EBOPs as a metric for non-HGQ quantizers, allow multiplying kernel bitwidths with pruning mask
Add documentation page for PQuantML using readthedocs
…ps with pruning mask and quantization effect for non-hgq use as metric
Took away redundant parameters from training section
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