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# Objective Benchmark current `compute_*_normals` methods to get a baseline as requested in https://github.com/bevyengine/bevy/pull/18552#issuecomment-2764875143 ## Solution Since the change to the default smooth normals method will definitely cause a regression, but the previous method will remain as an option, I added two technically-redundant benchmarks but with different names: `smooth_normals` for whatever default weighting method is used, and `face_weighted_normals` to benchmark the area-weighted method regardless of what the default is. Then I'm adding `angle_weighted_normals` in #18552. I also added `flat_normals` for completeness. |
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| benches | ||
| src | ||
| Cargo.toml | ||
| README.md | ||
Bevy Benchmarks
This is a crate with a collection of benchmarks for Bevy.
Running benchmarks
Benchmarks can be run through Cargo:
# Run all benchmarks. (This will take a while!)
cargo bench -p benches
# Just compile the benchmarks, do not run them.
cargo bench -p benches --no-run
# Run the benchmarks for a specific crate. (See `Cargo.toml` for a complete list of crates
# tracked.)
cargo bench -p benches --bench ecs
# Filter which benchmarks are run based on the name. This will only run benchmarks whose name
# contains "name_fragment".
cargo bench -p benches -- name_fragment
# List all available benchmarks.
cargo bench -p benches -- --list
# Save a baseline to be compared against later.
cargo bench -p benches -- --save-baseline before
# Compare the current benchmarks against a baseline to find performance gains and regressions.
cargo bench -p benches -- --baseline before
Criterion
Bevy's benchmarks use Criterion. If you want to learn more about using Criterion for comparing performance against a baseline or generating detailed reports, you can read the Criterion.rs documentation.