Performance improvements in linear_terms and quad_terms #1604
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Outdated suggestions cannot be applied.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.
Ref https://discourse.julialang.org/t/allocations-when-manipulating-an-iterator/17405 and #1403 (comment).
I see a 5x speedup in
JuMP.moi_function(::AffExpr)
and a 3.3x speedup inJuMP.moi_function(::QuadExpr)
. This removes 4 of 10 allocations per term in the minipmed example (#1403 (comment)).Before:
After:
There are still 6 more allocations per term to track down before we can (hopefully) get back to 0.18's performance.