[pyspark] clear temp storage to release GPU memory before each iteration #10226
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Outdated suggestions cannot be applied.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.
When setting the current data batch (already copied to GPU from CPU) to the DMatrixProxy, it still holds the previous data batch during building QDM, which will increase the peak GPU memory usage. So this PR tried to clear the temporary storage before each iteration.
I tested it on my local standalone cluster with 1 worker node with 12G GPU memory, XGBoost can train (4800000, 750) with this PR, while XGBoost can train only (4300000, 750) without this PR.