io: write out lp file with sliced variables and constraints #365
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
FabianHofmann
force-pushed
the
slice_generator
branch
4 times, most recently
from
a01892a to
4b3f65a
Compare
FabianHofmann
force-pushed
the
slice_generator
branch
2 times, most recently
from
85147f8 to
c1f1944
Compare
|
I would love to try this out, at a conference now so I can't promise to be very quick about it, but I'll report back as soon as I've tested this. |
FabianHofmann
force-pushed
the
slice_generator
branch
from
c1f1944 to
4dba46a
Compare
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Outdated suggestions cannot be applied.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.
When writing out an LP file, large variables and constraints are now chunked to avoid memory issues. This is especially useful for large models with constraints with many terms. The chunk size can be set with the
slice_sizeargument in thesolvefunction.@koen-vg I think we are merging this quite soon, could you have a try with your large pypsa-eur myopic network? I hope this will finally fix the issues.