[BUGFIX] Fix inplace masking for AKT to prevent data leakage#53
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AutoVision-cloud wants to merge 1 commit intobigdata-ustc:mainfrom
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[BUGFIX] Fix inplace masking for AKT to prevent data leakage#53AutoVision-cloud wants to merge 1 commit intobigdata-ustc:mainfrom
AutoVision-cloud wants to merge 1 commit intobigdata-ustc:mainfrom
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Change masked_fill to masked_fill_ (in-place operation) on line 273 to prevent data leakage from future time steps. The non-in-place version creates a new tensor without modifying the original, causing the masking to have no effect when the result is not assigned back to the variable. Fixes bigdata-ustc#52
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Summary
Fixes #52 - Change
masked_filltomasked_fill_(in-place operation) on line 273 to prevent data leakage from future time steps in the AKT attention mechanism.Problem
The non-in-place version
masked_fill()creates a new tensor without modifying the original. Since the result was not assigned back to thescoresvariable, the masking had no effect, potentially allowing the model to peek at future responses during training.Solution
Use the in-place variant
masked_fill_()which properly modifies the tensor to enforce temporal masking.Changes
EduKTM/AKT/AKTNet.py:273:scores.masked_fill→scores.masked_fill_