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regression_loss #728

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jzpcn opened this issue May 18, 2022 · 0 comments

jzpcn commented May 18, 2022

regression_loss = torch.where(
torch.le(regression_diff, 1.0 / 9.0),
0.5 * 9.0 * torch.pow(regression_diff, 2),
regression_diff - 0.5 / 9.0
)

why you use this method to compute reg_loss rather than the normal smooth L1 loss

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