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Fix (examples): adding bias_quant to final linear layer in resnet18 #720

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merged 2 commits into from
Nov 6, 2023

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Need to quantize the bias of the final layer to support streamlining in end-to-end FINN flow. Verified that this change does not impact accuracy on CIFAR10.

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2023-10-11 16:06:12,585 Test: [97/100]  Model Time 0.109 (0.121)        Loss Time 0.000 (0.000) Loss 2.6345 (2.2591)    Prec@1 92.000 (92.592)  Prec@5 99.000 (99.694)
2023-10-11 16:06:12,690 Test: [98/100]  Model Time 0.094 (0.120)        Loss Time 0.011 (0.000) Loss 1.7418 (2.2538)    Prec@1 94.000 (92.606)  Prec@5 100.000 (99.697)
2023-10-11 16:06:12,790 Test: [99/100]  Model Time 0.100 (0.120)        Loss Time 0.000 (0.000) Loss 3.5667 (2.2670)    Prec@1 92.000 (92.600)  Prec@5 100.000 (99.700)

@i-colbert i-colbert requested a review from volcacius October 11, 2023 23:20
@Giuseppe5 Giuseppe5 merged commit e410ff3 into Xilinx:dev Nov 6, 2023
@i-colbert i-colbert deleted the fix/bnn_pynq_resnet18 branch November 6, 2023 19:04
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2 participants