Update universal_pert.py #6
Open
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
The perturbation file is saved for every pass on the dataset so we won't need to start fooling rate from zero but from the file saved in universal_partial.npy. This is similar to saving model after every epoch while training. Similarly the perturbation will be saved after every pass in universal_partial.npy and when starting the universal_pert.py each time it will look at universal_partial.npy and will load the perturbations from there and start fooling from that particular fooling_rate.