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Bump docker/setup-qemu-action from 2.2.0 to 3.0.0 (#1359)
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Bumps [docker/setup-qemu-action](https://github.com/docker/setup-qemu-action) from 2.2.0 to 3.0.0.
- [Release notes](https://github.com/docker/setup-qemu-action/releases)
- [Commits](docker/setup-qemu-action@2b82ce8...6882732)

---
updated-dependencies:
- dependency-name: docker/setup-qemu-action
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <[email protected]>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
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dependabot[bot] authored Feb 9, 2024
1 parent 47a7764 commit ff02141
Showing 1 changed file with 1 addition and 1 deletion.
2 changes: 1 addition & 1 deletion .github/workflows/docker.yml
Original file line number Diff line number Diff line change
Expand Up @@ -34,7 +34,7 @@ jobs:
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1
-
name: Set up QEMU
uses: docker/setup-qemu-action@2b82ce82d56a2a04d2637cd93a637ae1b359c0a7 # v2.2.0
uses: docker/setup-qemu-action@68827325e0b33c7199eb31dd4e31fbe9023e06e3 # v3.0.0
-
name: Set up Docker Buildx
uses: docker/setup-buildx-action@f95db51fddba0c2d1ec667646a06c2ce06100226 # v3.0.0
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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: ff02141 Previous: fd3b9d6 Ratio
matmul_split_0_N1_GPU - RUNTIME 0.006513503845781088 s (0.017428768798708916) 0.0028414323460310698 s (0.006866538431495428) 2.29

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

CC: @web-flow

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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: ff02141 Previous: fd3b9d6 Ratio
heat_benchmarks_N4_CPU - ENERGY 0.6618118911743164 kJ (0.4521659603293854) 0.2013027603149414 kJ (0.02571390296721961) 3.29
matmul_split_0_N4_CPU - POWER 21.66907524782379 W (17.922589384717405) 7.671707329962386 W (0.18658069561942708) 2.82
matmul_split_0_N4_CPU - GPU_UTIL 2.75421142578125 % (2.8893813473588232) 1.13555908203125 % (1.29638671875) 2.43
matmul_split_1_N4_CPU - POWER 21.681308962438084 W (17.91824908259554) 7.699698544206399 W (0.17311603635772616) 2.82
matmul_split_1_N4_CPU - GPU_UTIL 2.75421142578125 % (2.8893813473588232) 1.13555908203125 % (1.29638671875) 2.43
qr_split_0_N4_CPU - POWER 21.67654532557819 W (17.94184646141448) 7.742598817831784 W (0.19358258348111296) 2.80
qr_split_0_N4_CPU - GPU_UTIL 2.75421142578125 % (2.8893813473588232) 1.13555908203125 % (1.29638671875) 2.43
qr_split_1_N4_CPU - POWER 21.830905403208696 W (17.862985775222583) 7.75350704281648 W (0.20742605331702751) 2.82
qr_split_1_N4_CPU - GPU_UTIL 2.75421142578125 % (2.8893813473588232) 0.96270751953125 % (0.77783203125) 2.86
lanczos_N4_CPU - POWER 22.10351923659629 W (17.650796563521826) 7.747825754469912 W (0.20065513503141194) 2.85
lanczos_N4_CPU - GPU_UTIL 2.75421142578125 % (2.8893813473588232) 0.70343017578125 % 3.92
hierachical_svd_rank_N4_CPU - POWER 21.911502723876062 W (17.782906274056927) 7.736124093096118 W (0.21527319212078677) 2.83
hierachical_svd_rank_N4_CPU - GPU_UTIL 2.75421142578125 % (2.8893813473588232) 0.70343017578125 % 3.92
hierachical_svd_tol_N4_CPU - POWER 21.889335991215653 W (17.81434018274669) 7.726064738932465 W (0.22239474401119338) 2.83
hierachical_svd_tol_N4_CPU - GPU_UTIL 2.75421142578125 % (2.8893813473588232) 0.70343017578125 % 3.92
kmeans_N4_CPU - POWER 23.14364431208164 W (17.299594759676555) 7.70003616548963 W (0.20993232829576763) 3.01
kmeans_N4_CPU - GPU_UTIL 2.8224814265966414 % (2.847886590499648) 0.70343017578125 % 4.01
kmedians_N4_CPU - POWER 26.08021906614407 W (19.139028335232034) 7.691443610700624 W (0.23126365625460388) 3.39
kmedians_N4_CPU - GPU_UTIL 3.0358809173107146 % (2.8119884190266453) 0.70343017578125 % 4.32
kmedoids_N4_CPU - POWER 25.563262491174246 W (18.50688967620072) 7.72597170301527 W (0.23058685172005006) 3.31
kmedoids_N4_CPU - GPU_UTIL 3.265910291671753 % (2.934413366813223) 0.70343017578125 % 4.64
reshape_N4_CPU - POWER 25.33834293270996 W (18.277126548371122) 7.7510788522542695 W (0.20712724391732956) 3.27
reshape_N4_CPU - GPU_UTIL 3.492654728889465 % (3.198152799730148) 0.70343017578125 % 4.97
concatenate_N4_CPU - POWER 25.270447794482436 W (18.26842734258663) 7.732414136155617 W (0.1867116959463011) 3.27
concatenate_N4_CPU - GPU_UTIL 3.49273681640625 % (3.198154826827497) 0.70343017578125 % 4.97
apply_inplace_standard_scaler_and_inverse_N4_CPU - POWER 25.268296751405238 W (18.26855114856628) 7.661349951443633 W (0.17799210246692568) 3.30
apply_inplace_standard_scaler_and_inverse_N4_CPU - GPU_UTIL 3.49273681640625 % (3.198154826827497) 0.70343017578125 % 4.97
apply_inplace_min_max_scaler_and_inverse_N4_CPU - POWER 25.26829668030239 W (18.26862087144567) 7.659010912413976 W (0.1785612319543453) 3.30
apply_inplace_min_max_scaler_and_inverse_N4_CPU - GPU_UTIL 3.49273681640625 % (3.198154826827497) 0.70343017578125 % 4.97
apply_inplace_max_abs_scaler_and_inverse_N4_CPU - POWER 25.268265420425553 W (18.268670371577223) 7.658744226104757 W (0.17860915407965341) 3.30
apply_inplace_max_abs_scaler_and_inverse_N4_CPU - GPU_UTIL 3.49273681640625 % (3.198154826827497) 0.70343017578125 % 4.97
apply_inplace_robust_scaler_and_inverse_N4_CPU - POWER 25.559478479143518 W (18.523477989162235) 7.777148452407924 W (0.3157286086683759) 3.29
apply_inplace_robust_scaler_and_inverse_N4_CPU - GPU_UTIL 3.49273681640625 % (3.198154826827497) 0.70343017578125 % 4.97
apply_inplace_normalizer_N4_CPU - POWER 25.721363964123206 W (18.73238074766862) 7.941554059317298 W (0.880845860622478) 3.24
apply_inplace_normalizer_N4_CPU - GPU_UTIL 3.49273681640625 % (3.198154826827497) 0.70343017578125 % 4.97

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

CC: @web-flow

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