This repository was archived by the owner on Sep 18, 2024. It is now read-only.
Add the missing seed argument for deterministic results.#351
Open
ice-tong wants to merge 1 commit intokeras-team:masterfrom
Open
Add the missing seed argument for deterministic results.#351ice-tong wants to merge 1 commit intokeras-team:masterfrom
ice-tong wants to merge 1 commit intokeras-team:masterfrom
Conversation
Add the missng ssed argument to `self.image_data_generator.get_random_transform` for determistic results. Especially during mutli-thread, we cannot set numpy.rand.seed out of the thread, this arugment pass is important!
self.image_data_generator.get_random_transform for deterministic results.
self.image_data_generator.get_random_transform for deterministic results.
4 tasks
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to subscribe to this conversation on GitHub.
Already have an account?
Sign in.
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Summary
Add the missing seed argument to
self.image_data_generator.get_random_transformfor deterministic results.Especially during multi-thread, we cannot set numpy.rand.seed out of the thread, this argument pass is important!
Related Issues
None
PR Overview