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HashNet does not update the beta value properly, resulting in the beta value staying as its original (default) value for both training and testing #6

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thaiminhpv opened this issue Aug 4, 2022 · 0 comments

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@thaiminhpv
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Great work! 馃帀馃憤

I've found a bug that the value of beta of HashNet isn't updated, resulting in the beta value staying as its original (default) value for both training and testing.

loss_param['loss_param']['beta'] = (ep // step_continuation + 1) ** 0.5

as loss_param['loss_param']['beta'] only updates the params config, but doesn't make changes to running HashNet's beta value.

jiuntian added a commit that referenced this issue Aug 4, 2022
Fix issue #6: HashNet does not update the beta value properly
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