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[pre-commit.ci] pre-commit autoupdate (#1262)
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updates:
- [github.com/psf/black-pre-commit-mirror: 23.10.1 → 23.11.0](psf/black-pre-commit-mirror@23.10.1...23.11.0)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Fabian Hoppe <112093564+mrfh92@users.noreply.github.com>
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pre-commit-ci[bot] and mrfh92 committed Nov 22, 2023
1 parent 1263887 commit 3241497
Showing 1 changed file with 1 addition and 1 deletion.
2 changes: 1 addition & 1 deletion .pre-commit-config.yaml
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Expand Up @@ -10,7 +10,7 @@ repos:
- id: check-added-large-files
- id: check-toml
- repo: https://github.com/psf/black-pre-commit-mirror
rev: 23.10.1
rev: 23.11.0
hooks:
- id: black
- repo: https://github.com/PyCQA/flake8
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⚠️ Performance Alert ⚠️

Possible performance regression was detected for benchmark.
Benchmark result of this commit is worse than the previous benchmark result exceeding threshold 2.

Benchmark suite Current: 3241497 Previous: 1263887 Ratio
matmul_split_0_N1_GPU - CPU_UTIL 61.744047275333365 % (5.049891820919478) 27.80283325214047 % (1.9769321634167238) 2.22
matmul_split_0_N1_GPU - GPU_UTIL 58.746183681488034 % (41.13747118347718) 16.31124801635742 % (19.399372493833674) 3.60
matmul_split_1_N1_GPU - CPU_UTIL 61.895113953061546 % (5.014518155663524) 27.76292370831875 % (2.0156135458984954) 2.23
matmul_split_1_N1_GPU - GPU_UTIL 58.75654754638672 % (41.12529400209931) 16.3322340965271 % (19.386044502389385) 3.60
qr_split_0_N1_GPU - CPU_UTIL 63.03384591590177 % (4.9359289611287505) 27.714046965490503 % (2.672384448014711) 2.27
qr_split_0_N1_GPU - GPU_UTIL 58.81334562301636 % (41.0590722161933) 16.480483055114746 % (19.297482611611443) 3.57
qr_split_1_N1_GPU - CPU_UTIL 64.90208449531772 % (5.843577871161622) 27.616742847605185 % (4.3888328198478215) 2.35
qr_split_1_N1_GPU - GPU_UTIL 58.85591144561768 % (41.01058321913671) 16.54693603515625 % (19.260985981532144) 3.56
lanczos_N1_GPU - CPU_UTIL 65.94095495036713 % (6.578097820042072) 27.239417448253704 % (6.159247516566504) 2.42
lanczos_N1_GPU - GPU_UTIL 58.86140365600586 % (41.00454217344634) 16.54701623916626 % (19.26094313763909) 3.56
hierachical_svd_rank_N1_GPU - CPU_UTIL 66.19176068928937 % (6.787935527169666) 26.80741564996692 % (7.162158915217585) 2.47
hierachical_svd_rank_N1_GPU - GPU_UTIL 58.86185102462768 % (41.00402021561108) 16.547658252716065 % (19.260600287615475) 3.56
hierachical_svd_tol_N1_GPU - CPU_UTIL 66.27214102330916 % (6.725004047177534) 26.663289874500766 % (7.3981893421345) 2.49
hierachical_svd_tol_N1_GPU - GPU_UTIL 58.86217765808105 % (41.00363914651761) 16.547852325439454 % (19.260496685020282) 3.56
kmeans_N1_GPU - CPU_UTIL 67.22155416663641 % (5.805520087510226) 26.72284751298718 % (5.960321703298467) 2.52
kmeans_N1_GPU - GPU_UTIL 58.72841930389404 % (41.18503969368876) 14.927732849121094 % (14.341531449556406) 3.93
kmedians_N1_GPU - CPU_UTIL 66.61867379454551 % (6.3253753786379185) 25.860405864337018 % (5.788999667752928) 2.58
kmedians_N1_GPU - GPU_UTIL 58.73678092956543 % (41.25483885562515) 10.317038631439209 % (2.681481156907967) 5.69
kmedoids_N1_GPU - CPU_UTIL 66.8000741684299 % (6.119888032028565) 26.200922750465033 % (6.097060161023925) 2.55
kmedoids_N1_GPU - GPU_UTIL 60.936469650268556 % (39.01789508806107) 13.803042459487916 % (12.398850188266774) 4.41
reshape_N1_GPU - CPU_UTIL 66.54179672229988 % (6.16038217848169) 27.723728100261525 % (6.622661812145557) 2.40
reshape_N1_GPU - GPU_UTIL 65.76247024536133 % (35.591402210071806) 16.596203327178955 % (18.861148977481655) 3.96
concatenate_N1_GPU - CPU_UTIL 66.54090786135166 % (6.162654324757713) 27.72513693978321 % (6.621863778544467) 2.40
concatenate_N1_GPU - GPU_UTIL 65.76442489624023 % (35.590259460756556) 16.597166347503663 % (18.860845705073004) 3.96
apply_inplace_standard_scaler_and_inverse_N1_GPU - CPU_UTIL 66.53406880979053 % (6.1796167265052615) 27.73323294618646 % (6.616472847689291) 2.40
apply_inplace_standard_scaler_and_inverse_N1_GPU - GPU_UTIL 65.77912216186523 % (35.581696761435055) 16.605881214141846 % (18.85852520779784) 3.96
apply_inplace_min_max_scaler_and_inverse_N1_GPU - CPU_UTIL 66.5288147055952 % (6.193006963328838) 27.736888728608996 % (6.613991325209349) 2.40
apply_inplace_min_max_scaler_and_inverse_N1_GPU - GPU_UTIL 65.79060249328613 % (35.57504484481693) 16.61142225265503 % (18.856876585566432) 3.96
apply_inplace_max_abs_scaler_and_inverse_N1_GPU - CPU_UTIL 66.52773974237977 % (6.195662784088126) 27.738985047430628 % (6.612810754616189) 2.40
apply_inplace_max_abs_scaler_and_inverse_N1_GPU - GPU_UTIL 65.79290657043457 % (35.57371368759815) 16.612798595428465 % (18.856802343549877) 3.96
apply_inplace_robust_scaler_and_inverse_N1_GPU - CPU_UTIL 66.70674754074017 % (4.435741038166922) 26.75634535370333 % (7.3917303317969925) 2.49
apply_inplace_robust_scaler_and_inverse_N1_GPU - GPU_UTIL 68.57404232025146 % (34.31106220568586) 19.34017686843872 % (18.854617157561933) 3.55
apply_inplace_normalizer_N1_GPU - CPU_UTIL 68.5513800320919 % (5.0808693578775594) 28.53224679202781 % (9.276731859331932) 2.40
apply_inplace_normalizer_N1_GPU - GPU_UTIL 67.73223876953125 % (39.28902367487347) 20.20294189453125 % (20.397241476257875) 3.35

This comment was automatically generated by workflow using github-action-benchmark.

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