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QuantizationAwareTraining_Pruning_for_MetricLearningMLP_for_FPGA
snapshot of development before merging with dev branch this branch has been used to create public result plots of QAT with Brevitas and iterative pruning tested on the metric learning MLP. https://cds.cern.ch/record/2888383
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1.2.0
Add HGNN and CC_and_removal_junction models for track reconstruction stage.
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1.1.0
This version allows Acorn to run with the following versions of the environment packages: - torch: 2.1.x - pytorch_lightning: 2.1.x - pyg: 2.4.x - cuda: 12.x - cugraph: 23.12.x - torch_scatter: 2.1.x The code remains compatible with previous versions (torch 1.x, etc).
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