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zeekay
bde2e2531b
Machine Learning with FHE - fork of Zama Concrete-ML - Built-in FHE-friendly ML models - scikit-learn compatible API - PyTorch model conversion - Quantization-aware training
14 lines
338 B
INI
14 lines
338 B
INI
[MODEL]
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ARCH: CNV
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PRETRAINED_URL: https://github.com/Xilinx/brevitas/releases/download/bnn_pynq-r0/cnv_2w2a-0702987f.pth
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EVAL_LOG: https://github.com/Xilinx/brevitas/releases/download/cnv_test_ref-r0/cnv_2w2a_eval-5aaca4c6.txt
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DATASET: CIFAR10
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IN_CHANNELS: 3
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NUM_CLASSES: 10
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[QUANT]
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WEIGHT_BIT_WIDTH: 2
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ACT_BIT_WIDTH: 2
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IN_BIT_WIDTH: 8
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