Restore testing of libraries + fix regressions

[maleadt]

Got lost during the switch to ParallelTestRunner...

[maleadt]

Fixed, and reworked handling of ordinary errors too so that we can better report on unconditional exceptions instead of asserting (and bricking the process).

[codecov]

Codecov Report

❌ Patch coverage is 95.65217% with 1 line in your changes missing coverage. Please review.
✅ Project coverage is 92.57%. Comparing base (1b62bc2) to head (446e321).
⚠️ Report is 14 commits behind head on main.

Files with missing lines	Patch %	Lines
lib/cutensor/test/kernel_cache.jl	87.50%	1 Missing ⚠️

Additional details and impacted files

@@             Coverage Diff             @@
##             main    #3192       +/-   ##
===========================================
+ Coverage   17.42%   92.57%   +75.15%     
===========================================
  Files         124      167       +43     
  Lines        9885    13893     +4008     
===========================================
+ Hits         1722    12861    +11139     
+ Misses       8163     1032     -7131     

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[github-actions]

CUDA.jl Benchmarks

Details

Benchmark suite	Current: 446e321	Previous: 2816631	Ratio
array/accumulate/Float32/1d	98404 ns	97897 ns	1.01
array/accumulate/Float32/dims=1	74428 ns	73632 ns	1.01
array/accumulate/Float32/dims=1L	1600533 ns	1598835 ns	1.00
array/accumulate/Float32/dims=2	139879 ns	139330 ns	1.00
array/accumulate/Float32/dims=2L	660537 ns	659621 ns	1.00
array/accumulate/Int64/1d	117793 ns	117503 ns	1.00
array/accumulate/Int64/dims=1	78341 ns	77994 ns	1.00
array/accumulate/Int64/dims=1L	1716857 ns	1715449 ns	1.00
array/accumulate/Int64/dims=2	152057 ns	152392 ns	1.00
array/accumulate/Int64/dims=2L	986853 ns	986467 ns	1.00
array/broadcast	18229 ns	18161 ns	1.00
array/construct	843.8461538461538 ns	895.2765957446809 ns	0.94
array/copy	16044 ns	15839 ns	1.01
array/copyto!/cpu_to_gpu	208201 ns	207371 ns	1.00
array/copyto!/gpu_to_cpu	241370 ns	240102 ns	1.01
array/copyto!/gpu_to_gpu	8579 ns	10026.333333333334 ns	0.86
array/iteration/findall/bool	132100 ns	131518 ns	1.00
array/iteration/findall/int	146313 ns	145844 ns	1.00
array/iteration/findfirst/bool	67937 ns	67401 ns	1.01
array/iteration/findfirst/int	68838 ns	68594 ns	1.00
array/iteration/findmin/1d	62417 ns	61333 ns	1.02
array/iteration/findmin/2d	99539 ns	99158 ns	1.00
array/iteration/logical	186104 ns	184693 ns	1.01
array/iteration/scalar	61524 ns	60392 ns	1.02
array/permutedims/2d	48920 ns	48886 ns	1.00
array/permutedims/3d	50474 ns	50584 ns	1.00
array/permutedims/4d	49928 ns	49953 ns	1.00
array/random/rand/Float32	11583 ns	10837 ns	1.07
array/random/rand/Int64	23356 ns	23059 ns	1.01
array/random/rand!/Float32	7812 ns	7669.75 ns	1.02
array/random/rand!/Int64	17578 ns	20281 ns	0.87
array/random/randn/Float32	32969 ns	32667 ns	1.01
array/random/randn!/Float32	23312 ns	25627 ns	0.91
array/reductions/mapreduce/Float32/1d	31152 ns	30981 ns	1.01
array/reductions/mapreduce/Float32/dims=1	37360 ns	36898 ns	1.01
array/reductions/mapreduce/Float32/dims=1L	50156 ns	49612 ns	1.01
array/reductions/mapreduce/Float32/dims=2	54502 ns	54387 ns	1.00
array/reductions/mapreduce/Float32/dims=2L	65834 ns	65753 ns	1.00
array/reductions/mapreduce/Int64/1d	38160 ns	38322 ns	1.00
array/reductions/mapreduce/Int64/dims=1	39997 ns	39816 ns	1.00
array/reductions/mapreduce/Int64/dims=1L	88089 ns	88025 ns	1.00
array/reductions/mapreduce/Int64/dims=2	57002 ns	56769 ns	1.00
array/reductions/mapreduce/Int64/dims=2L	82216 ns	82022 ns	1.00
array/reductions/reduce/Float32/1d	31160 ns	30927 ns	1.01
array/reductions/reduce/Float32/dims=1	37381 ns	36928 ns	1.01
array/reductions/reduce/Float32/dims=1L	50172 ns	49998 ns	1.00
array/reductions/reduce/Float32/dims=2	54635 ns	54309 ns	1.01
array/reductions/reduce/Float32/dims=2L	67857 ns	67612 ns	1.00
array/reductions/reduce/Int64/1d	38575 ns	37970 ns	1.02
array/reductions/reduce/Int64/dims=1	39868 ns	39651 ns	1.01
array/reductions/reduce/Int64/dims=1L	88068 ns	88000 ns	1.00
array/reductions/reduce/Int64/dims=2	57019 ns	56538 ns	1.01
array/reductions/reduce/Int64/dims=2L	82391 ns	82016 ns	1.00
array/reverse/1d	16264 ns	16230 ns	1.00
array/reverse/1dL	69068 ns	68819 ns	1.00
array/reverse/1dL_inplace	66985 ns	66950 ns	1.00
array/reverse/1d_inplace	9462.666666666666 ns	8078.666666666667 ns	1.17
array/reverse/2d	19259 ns	19139 ns	1.01
array/reverse/2dL	72704 ns	72557 ns	1.00
array/reverse/2dL_inplace	66742 ns	66671 ns	1.00
array/reverse/2d_inplace	10548 ns	9392 ns	1.12
array/sorting/1d	2657927 ns	2666654 ns	1.00
array/sorting/2d	1037616 ns	1037930 ns	1.00
array/sorting/by	3192945 ns	3190978 ns	1.00
cuda/synchronization/context/auto	1038.4 ns	1034 ns	1.00
cuda/synchronization/context/blocking	799.0618556701031 ns	792.8947368421053 ns	1.01
cuda/synchronization/context/nonblocking	5894.833333333333 ns	5768.5 ns	1.02
cuda/synchronization/stream/auto	897.9777777777778 ns	888.7407407407408 ns	1.01
cuda/synchronization/stream/blocking	688.04 ns	680.775641025641 ns	1.01
cuda/synchronization/stream/nonblocking	5738.833333333333 ns	5479 ns	1.05
integration/byval/reference	147418 ns	147451 ns	1.00
integration/byval/slices=1	149583 ns	149601 ns	1.00
integration/byval/slices=2	291916 ns	292115 ns	1.00
integration/byval/slices=3	434955 ns	434848 ns	1.00
integration/cudadevrt	104371 ns	104306 ns	1.00
integration/volumerhs	9306644 ns	9307376 ns	1.00
kernel/indexing	12475 ns	12392 ns	1.01
kernel/indexing_checked	13192 ns	13162 ns	1.00
kernel/launch	1998.5 ns	1990.6 ns	1.00
kernel/occupancy	681.6233766233767 ns	703.027397260274 ns	0.97
kernel/rand	13593 ns	13514 ns	1.01
latency/import	3928843059 ns	3924943583 ns	1.00
latency/precompile	4671837138 ns	4669190824 ns	1.00
latency/ttfp	4941048073 ns	4902496159 ns	1.01

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