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@maleadt maleadt commented Aug 11, 2025

@maleadt maleadt added the ci Everything related to continuous integration. label Aug 11, 2025
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maleadt commented Aug 11, 2025

Could not use exact versions of packages in manifest, re-resolving

Probably because additional test deps break the graph. This seems like it would be an issue with julia-downgrade-compat too, @ChrisRackauckas.

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I think you need to set re_resolve = false in the test run.

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CUDA.jl Benchmarks

Benchmark suite Current: 27bfda8 Previous: d670186 Ratio
latency/precompile 43734497404.5 ns 43647228816 ns 1.00
latency/ttfp 7277703082 ns 7277435679 ns 1.00
latency/import 3884738470 ns 3852618873.5 ns 1.01
integration/volumerhs 9625281 ns 9627931.5 ns 1.00
integration/byval/slices=1 147226 ns 147110 ns 1.00
integration/byval/slices=3 426145 ns 426020 ns 1.00
integration/byval/reference 145134 ns 145041 ns 1.00
integration/byval/slices=2 286736 ns 286551.5 ns 1.00
integration/cudadevrt 103604 ns 103546 ns 1.00
kernel/indexing 14552 ns 14322 ns 1.02
kernel/indexing_checked 15212 ns 14915 ns 1.02
kernel/occupancy 687.9738562091503 ns 667.2075471698113 ns 1.03
kernel/launch 2195.8888888888887 ns 2223.222222222222 ns 0.99
kernel/rand 18622 ns 18438 ns 1.01
array/reverse/1d 20029 ns 19972 ns 1.00
array/reverse/2d 25596 ns 24087.5 ns 1.06
array/reverse/1d_inplace 10776 ns 10265 ns 1.05
array/reverse/2d_inplace 12291 ns 11666 ns 1.05
array/copy 21188 ns 21022 ns 1.01
array/iteration/findall/int 158438 ns 157451 ns 1.01
array/iteration/findall/bool 139706 ns 138964 ns 1.01
array/iteration/findfirst/int 2150523 ns 2145633 ns 1.00
array/iteration/findfirst/bool 2129237.5 ns 2125537.5 ns 1.00
array/iteration/scalar 75806.5 ns 72116 ns 1.05
array/iteration/logical 236248 ns 235859 ns 1.00
array/iteration/findmin/1d 257454.5 ns 258194 ns 1.00
array/iteration/findmin/2d 96871 ns 96186 ns 1.01
array/reductions/reduce/Int64/1d 146841.5 ns 147739.5 ns 0.99
array/reductions/reduce/Int64/dims=1 44011 ns 44174 ns 1.00
array/reductions/reduce/Int64/dims=2 61528 ns 61550 ns 1.00
array/reductions/reduce/Int64/dims=1L 89162 ns 89011.5 ns 1.00
array/reductions/reduce/Int64/dims=2L 653070 ns 657807 ns 0.99
array/reductions/reduce/Float32/1d 104098.5 ns 104011 ns 1.00
array/reductions/reduce/Float32/dims=1 41050 ns 40950 ns 1.00
array/reductions/reduce/Float32/dims=2 59810 ns 59626 ns 1.00
array/reductions/reduce/Float32/dims=1L 52881 ns 52408 ns 1.01
array/reductions/reduce/Float32/dims=2L 547993 ns 547881 ns 1.00
array/reductions/mapreduce/Int64/1d 149439 ns 149756 ns 1.00
array/reductions/mapreduce/Int64/dims=1 44327 ns 44269 ns 1.00
array/reductions/mapreduce/Int64/dims=2 61737 ns 61933 ns 1.00
array/reductions/mapreduce/Int64/dims=1L 88969 ns 89034 ns 1.00
array/reductions/mapreduce/Int64/dims=2L 685647 ns 685908.5 ns 1.00
array/reductions/mapreduce/Float32/1d 105262.5 ns 105015.5 ns 1.00
array/reductions/mapreduce/Float32/dims=1 40971 ns 40993 ns 1.00
array/reductions/mapreduce/Float32/dims=2 59746 ns 59573 ns 1.00
array/reductions/mapreduce/Float32/dims=1L 52934 ns 52874 ns 1.00
array/reductions/mapreduce/Float32/dims=2L 546800 ns 550366 ns 0.99
array/broadcast 20345 ns 20326 ns 1.00
array/copyto!/gpu_to_gpu 11395 ns 12862 ns 0.89
array/copyto!/cpu_to_gpu 216685.5 ns 214253 ns 1.01
array/copyto!/gpu_to_cpu 286571 ns 286370.5 ns 1.00
array/accumulate/Int64/1d 125472.5 ns 124932 ns 1.00
array/accumulate/Int64/dims=1 84066 ns 83506 ns 1.01
array/accumulate/Int64/dims=2 159522 ns 157937 ns 1.01
array/accumulate/Int64/dims=1L 1720734.5 ns 1720004 ns 1.00
array/accumulate/Int64/dims=2L 968437 ns 968081 ns 1.00
array/accumulate/Float32/1d 109605 ns 109339 ns 1.00
array/accumulate/Float32/dims=1 80923 ns 80455 ns 1.01
array/accumulate/Float32/dims=2 148152 ns 147609.5 ns 1.00
array/accumulate/Float32/dims=1L 1618625 ns 1618340 ns 1.00
array/accumulate/Float32/dims=2L 698464 ns 700504 ns 1.00
array/construct 1654 ns 1612.7 ns 1.03
array/random/randn/Float32 44597 ns 44195.5 ns 1.01
array/random/randn!/Float32 25262 ns 24926 ns 1.01
array/random/rand!/Int64 27589 ns 27742 ns 0.99
array/random/rand!/Float32 8855.666666666666 ns 8671.666666666666 ns 1.02
array/random/rand/Int64 38336.5 ns 30303 ns 1.27
array/random/rand/Float32 13191 ns 13171 ns 1.00
array/permutedims/4d 60107.5 ns 60857.5 ns 0.99
array/permutedims/2d 54209 ns 54404 ns 1.00
array/permutedims/3d 55196 ns 55128 ns 1.00
array/sorting/1d 2756701 ns 2756220.5 ns 1.00
array/sorting/by 3342861 ns 3354879 ns 1.00
array/sorting/2d 1080810 ns 1084703.5 ns 1.00
cuda/synchronization/stream/auto 1042.8 ns 1064.1 ns 0.98
cuda/synchronization/stream/nonblocking 7156 ns 7654.4 ns 0.93
cuda/synchronization/stream/blocking 810.2065217391304 ns 827.0243902439024 ns 0.98
cuda/synchronization/context/auto 1171.3 ns 1151.2 ns 1.02
cuda/synchronization/context/nonblocking 8811 ns 7325.5 ns 1.20
cuda/synchronization/context/blocking 913.2 ns 916.8333333333334 ns 1.00

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

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codecov bot commented Sep 11, 2025

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 88.52%. Comparing base (aa2e912) to head (8bd6b2c).
⚠️ Report is 1 commits behind head on master.

Additional details and impacted files
@@            Coverage Diff             @@
##           master    #2841      +/-   ##
==========================================
+ Coverage   88.50%   88.52%   +0.01%     
==========================================
  Files         150      150              
  Lines       13171    13171              
==========================================
+ Hits        11657    11659       +2     
+ Misses       1514     1512       -2     

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@maleadt maleadt merged commit 6c6977f into master Sep 11, 2025
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@maleadt maleadt deleted the tb/mindeps branch September 11, 2025 19:57
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