Add ASV benchmarks for 6 modules changed in v0.9.5#1156
Merged
Conversation
normalize, diffusion, erosion, balanced_allocation, dasymetric, and reproject all received memory-guard or lazy-reduction fixes in the v0.9.5 cycle but had no ASV benchmark coverage. Each new module follows the existing Benchmarking base-class pattern with appropriate grid sizes and backend params.
#1137) These four are fast enough (<5ms at 300px) for CI. Erosion and Reproject are excluded because they're too compute-heavy for PR checks.
- dasymetric.py: add call parens to has_cuda_and_cupy() guard - reproject.py: move import to module level to keep it out of timed methods
This file contains hidden or 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
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Closes #1137
Summary
normalize,diffusion,erosion,balanced_allocation,dasymetric,reprojectRescale,Standardize,Diffusion, andDasymetricto the CI benchmark filter inbenchmarks.yml(the fast ones;ErosionandReprojectare too slow for CI)time_*methods verified passing on numpy and dask backendsTest plan
performancelabel to trigger)