Exclude lib*jl from coverage also for CUSTATEVEC, CUTENSOR, and CUTENSORNET

[kshyatt]

No description provided.

[kshyatt]

Enzyme error doesn't look like it could be related?

[github-actions]

CUDA.jl Benchmarks

Benchmark suite	Current: d50ecb4	Previous: 1786fd1	Ratio
latency/precompile	46228266955.5 ns	46250691468.5 ns	1.00
latency/ttfp	7050680444 ns	6940238537 ns	1.02
latency/import	3671506646 ns	3620061997 ns	1.01
integration/volumerhs	9611309.5 ns	9624100 ns	1.00
integration/byval/slices=1	146704 ns	146960 ns	1.00
integration/byval/slices=3	425172 ns	425196 ns	1.00
integration/byval/reference	144845 ns	144970 ns	1.00
integration/byval/slices=2	285923 ns	285990 ns	1.00
integration/cudadevrt	103196 ns	103427 ns	1.00
kernel/indexing	14011 ns	14103 ns	0.99
kernel/indexing_checked	14533 ns	14753 ns	0.99
kernel/occupancy	636.8930817610063 ns	647.6424242424242 ns	0.98
kernel/launch	2034 ns	2043.6 ns	1.00
kernel/rand	15442 ns	14449 ns	1.07
array/reverse/1d	19681 ns	19824 ns	0.99
array/reverse/2d	25046 ns	25406 ns	0.99
array/reverse/1d_inplace	10406 ns	11185 ns	0.93
array/reverse/2d_inplace	12091 ns	12761 ns	0.95
array/copy	20713 ns	21193 ns	0.98
array/iteration/findall/int	157550 ns	160244 ns	0.98
array/iteration/findall/bool	138495.5 ns	140488 ns	0.99
array/iteration/findfirst/int	153423.5 ns	154305 ns	0.99
array/iteration/findfirst/bool	154710 ns	155713.5 ns	0.99
array/iteration/scalar	71127 ns	72903 ns	0.98
array/iteration/logical	213720 ns	217936 ns	0.98
array/iteration/findmin/1d	41240 ns	41697 ns	0.99
array/iteration/findmin/2d	93741 ns	94800 ns	0.99
array/reductions/reduce/1d	41006 ns	44033 ns	0.93
array/reductions/reduce/2d	51481 ns	45300 ns	1.14
array/reductions/mapreduce/1d	35866.5 ns	42732 ns	0.84
array/reductions/mapreduce/2d	51039 ns	47788 ns	1.07
array/broadcast	20822 ns	21076 ns	0.99
array/copyto!/gpu_to_gpu	11591 ns	11783.5 ns	0.98
array/copyto!/cpu_to_gpu	207953 ns	211543 ns	0.98
array/copyto!/gpu_to_cpu	243288.5 ns	244994 ns	0.99
array/accumulate/1d	108442 ns	109266 ns	0.99
array/accumulate/2d	79828 ns	80430 ns	0.99
array/construct	1286.5 ns	1296 ns	0.99
array/random/randn/Float32	49454 ns	45708 ns	1.08
array/random/randn!/Float32	26460 ns	26943 ns	0.98
array/random/rand!/Int64	27095 ns	27059 ns	1.00
array/random/rand!/Float32	8511.666666666666 ns	8715.666666666666 ns	0.98
array/random/rand/Int64	35446 ns	38201 ns	0.93
array/random/rand/Float32	13018 ns	13271 ns	0.98
array/permutedims/4d	61077 ns	61202 ns	1.00
array/permutedims/2d	55146 ns	55721.5 ns	0.99
array/permutedims/3d	55637 ns	56694 ns	0.98
array/sorting/1d	2777083.5 ns	2776604 ns	1.00
array/sorting/by	3368139.5 ns	3367703.5 ns	1.00
array/sorting/2d	1084395.5 ns	1085001.5 ns	1.00
cuda/synchronization/stream/auto	1044.5 ns	1013.8461538461538 ns	1.03
cuda/synchronization/stream/nonblocking	6406.2 ns	6380.1 ns	1.00
cuda/synchronization/stream/blocking	809.0760869565217 ns	829.824074074074 ns	0.97
cuda/synchronization/context/auto	1171 ns	1194.4 ns	0.98
cuda/synchronization/context/nonblocking	6675 ns	6668 ns	1.00
cuda/synchronization/context/blocking	944.9795918367347 ns	935.85 ns	1.01

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