Files
mlx/mlx
Arkar Min Aung cb4dc59a9e feat(benchmarks): add comprehensive SVD performance benchmarks
Add benchmarks for Metal SVD implementation as required by CONTRIBUTING.md:
- Square matrix benchmarks (64x64 to 512x512)
- Rectangular matrix benchmarks
- Batched matrix benchmarks
- CPU vs GPU performance comparison
- Special matrices (identity, diagonal, zero)

Benchmarks validate performance improvements from GPU acceleration
and help identify performance regressions in future changes.

Usage:
  python benchmarks/python/svd_bench.py --gpu
  python benchmarks/python/svd_bench.py --compare
  python benchmarks/python/svd_bench.py --all
2025-06-15 18:09:11 +10:00
..
2023-11-29 10:52:08 -08:00
2025-04-24 06:14:49 -07:00
2025-04-23 13:08:28 -07:00
2025-03-11 06:30:44 -07:00
2025-05-18 00:18:43 -07:00
2025-02-13 18:46:11 -08:00
2025-04-30 09:08:17 -07:00
2025-04-30 09:08:17 -07:00
2025-02-25 06:00:53 -08:00
2025-02-07 15:52:22 -08:00
2025-01-25 01:28:03 -08:00
2024-07-25 09:36:44 -07:00
2025-04-08 06:20:27 -07:00
2025-04-03 11:58:28 -07:00
2025-05-15 13:01:44 -07:00
2025-06-10 21:19:47 -07:00
2025-04-29 07:26:05 -07:00
2025-06-10 09:34:01 -07:00
2025-04-30 09:08:17 -07:00
2025-04-30 09:08:17 -07:00
2025-01-27 22:15:01 -08:00
2025-06-03 17:55:12 -07:00
2025-04-23 13:08:28 -07:00
2025-04-23 13:08:28 -07:00
2025-06-03 17:55:12 -07:00