-
Notifications
You must be signed in to change notification settings - Fork 194
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
balanced-k-means: fix a too large initial memory pool size #1148
balanced-k-means: fix a too large initial memory pool size #1148
Conversation
Tagging @Nyrio for awareness, since you're working on balanced k-means. |
Wouldn't it be better to update the calculation of the initial pool size to avoid assuming that we need to store the distance matrix? Similar to how we calculate the batch size. |
Codecov ReportBase: 87.99% // Head: 87.99% // No change to project coverage 👍
Additional details and impacted files@@ Coverage Diff @@
## branch-23.02 #1148 +/- ##
=============================================
Coverage 87.99% 87.99%
=============================================
Files 21 21
Lines 483 483
=============================================
Hits 425 425
Misses 58 58 Help us with your feedback. Take ten seconds to tell us how you rate us. Have a feature suggestion? Share it here. ☔ View full report at Codecov. |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Thanks Artem for the update, LGTM!
/merge |
calc_minibatch_size
decides on the batch size under assumption that the workspace shouldn't exceed 1GB. It takes into account that fewer extra buffers are needed when the data typeT
is float. However, we don't take this into account when setting the initial memory pool size immediately after calculatingmax_minibatch_size
. As a result, under some conditions, the algorithm attempts to allocate more memory than available. This PR sets the limit of the initial pool size to 1GB to fix the issue.