Add notes on batch size and num of GPUs in ESPnet2 documentation #4436
Conversation
This file contains 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
Add remark on batch size and number of GPUs for ESPnet2.
Add remark on batch size and number of GPUs
Add remark on batch size and number of GPUs
sw005320
reviewed
Jun 8, 2022
Co-authored-by: Shinji Watanabe <sw005320@gmail.com>
Codecov Report
@@ Coverage Diff @@
## master #4436 +/- ##
=======================================
Coverage 82.77% 82.77%
=======================================
Files 474 474
Lines 40755 40755
=======================================
Hits 33733 33733
Misses 7022 7022
Flags with carried forward coverage won't be shown. Click here to find out more. 📣 Codecov can now indicate which changes are the most critical in Pull Requests. Learn more |
|
Thanks, @pyf98! |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
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Outdated suggestions cannot be applied.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.
We have noticed that many users encountered this issue when using multiple GPUs on ESPnet2. Based on various investigations, ESPnet2 actually has good multi-GPU scalability, if the batch size is properly set.
Note that the behavior of batch size in ESPnet2 during multi-GPU training is different from that in ESPnet1. In ESPnet2, the total batch size is not changed regardless of the number of GPUs. Therefore, you need to manually increase the batch size if you increase the number of GPUs. Please refer to this doc for more information.