Update test_accuracy.py to generate data with different random seed#2637
Merged
vfdev-5 merged 5 commits intopytorch:masterfrom Aug 15, 2022
Merged
Update test_accuracy.py to generate data with different random seed#2637vfdev-5 merged 5 commits intopytorch:masterfrom
vfdev-5 merged 5 commits intopytorch:masterfrom
Conversation
…er rank Change generating data logic from slicing to different random seed per rank
delete duplicated code change `s` to `batch_size` eliminate variable `offset`
Modify `_test_distrib_integration_multilabel` and `_test_distrib_integration_list_of_tensors_or_numbers`
Correct `_test_distrib_integration_multiclass` with correct use of `Engine` Revert other methods except `_test_distrib_integration_multiclass`
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 join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
…er rank
Fixes #{issue number}
Description: Change generating data logic from slicing to different random seed per rank in
_test_distrib_integration_multiclassAfter this PR, will correct
_test_distrib_integration_multilabeland_test_distrib_integration_list_of_tensors_or_numbersCheck list: