Add io stream stream to versioninfo

[luraess]

This PR adds an io stream to AMDGPU.versioninfo() to be compatible with KA's interface and implements KA.versioninfo.

x-ref JuliaGPU/KernelAbstractions.jl#617 (comment) and JuliaGPU/KernelAbstractions.jl#712

[luraess]

cscs-ci run

[github-actions]

AMDGPU.jl Benchmarks

Details

Benchmark suite	Current: 4fee520	Previous: 756602c	Ratio
amdgpu/synchronization/context/device	590 ns	600 ns	0.98
amdgpu/synchronization/stream/blocking	240 ns	240 ns	1
amdgpu/synchronization/stream/nonblocking	330 ns	340 ns	0.97
array/accumulate/Float32/1d	86491 ns	86251 ns	1.00
array/accumulate/Float32/dims=1	400106 ns	393845 ns	1.02
array/accumulate/Float32/dims=1L	135732 ns	131681 ns	1.03
array/accumulate/Float32/dims=2	130462 ns	103022 ns	1.27
array/accumulate/Float32/dims=2L	2811009 ns	2827930 ns	0.99
array/accumulate/Int64/1d	102171 ns	96412 ns	1.06
array/accumulate/Int64/dims=1	431536 ns	285244 ns	1.51
array/accumulate/Int64/dims=1L	167673 ns	160812 ns	1.04
array/accumulate/Int64/dims=2	129382 ns	120772 ns	1.07
array/accumulate/Int64/dims=2L	2984871 ns	3014433 ns	0.99
array/broadcast	111712 ns	128932 ns	0.87
array/construct	1680 ns	1680 ns	1
array/copy	40031 ns	39371 ns	1.02
array/copyto!/cpu_to_gpu	183943 ns	114832 ns	1.60
array/copyto!/gpu_to_cpu	169653 ns	152432 ns	1.11
array/copyto!/gpu_to_gpu	120802 ns	88321 ns	1.37
array/iteration/findall/bool	182062 ns	181912 ns	1.00
array/iteration/findall/int	197023 ns	190933 ns	1.03
array/iteration/findfirst/bool	117111 ns	114451 ns	1.02
array/iteration/findfirst/int	115101 ns	116331 ns	0.99
array/iteration/findmin/1d	170102 ns	166203 ns	1.02
array/iteration/findmin/2d	156552 ns	156173 ns	1.00
array/iteration/logical	352414 ns	346025 ns	1.02
array/iteration/scalar	288194 ns	289864 ns	0.99
array/permutedims/2d	74701 ns	64761 ns	1.15
array/permutedims/3d	74861 ns	73791 ns	1.01
array/permutedims/4d	77321 ns	76481 ns	1.01
array/random/rand/Float32	52610 ns	51540 ns	1.02
array/random/rand/Int64	58371 ns	56210 ns	1.04
array/random/rand!/Float32	149162 ns	142162 ns	1.05
array/random/rand!/Int64	108062 ns	141832 ns	0.76
array/random/randn/Float32	100721 ns	86921 ns	1.16
array/random/randn!/Float32	102141 ns	152202 ns	0.67
array/reductions/mapreduce/Float32/1d	133301 ns	132902 ns	1.00
array/reductions/mapreduce/Float32/dims=1	95011 ns	95052 ns	1.00
array/reductions/mapreduce/Float32/dims=1L	773831 ns	777081 ns	1.00
array/reductions/mapreduce/Float32/dims=2	97251 ns	96731 ns	1.01
array/reductions/mapreduce/Float32/dims=2L	298504 ns	299584 ns	1.00
array/reductions/mapreduce/Int64/1d	131302 ns	133322 ns	0.98
array/reductions/mapreduce/Int64/dims=1	95531 ns	78081 ns	1.22
array/reductions/mapreduce/Int64/dims=1L	783190 ns	783471 ns	1.00
array/reductions/mapreduce/Int64/dims=2	97622 ns	96252 ns	1.01
array/reductions/mapreduce/Int64/dims=2L	298654 ns	308254 ns	0.97
array/reductions/reduce/Float32/1d	133011 ns	132802 ns	1.00
array/reductions/reduce/Float32/dims=1	95412 ns	94832 ns	1.01
array/reductions/reduce/Float32/dims=1L	774820 ns	774621 ns	1.00
array/reductions/reduce/Float32/dims=2	97531 ns	96802 ns	1.01
array/reductions/reduce/Float32/dims=2L	292744 ns	307245 ns	0.95
array/reductions/reduce/Int64/1d	133932 ns	129672 ns	1.03
array/reductions/reduce/Int64/dims=1	95362 ns	78151 ns	1.22
array/reductions/reduce/Int64/dims=1L	779961 ns	781931 ns	1.00
array/reductions/reduce/Int64/dims=2	96801 ns	96192 ns	1.01
array/reductions/reduce/Int64/dims=2L	299884 ns	298414 ns	1.00
array/reverse/1d	43830 ns	44380 ns	0.99
array/reverse/1dL	75591 ns	74131 ns	1.02
array/reverse/1dL_inplace	115191 ns	108282 ns	1.06
array/reverse/1d_inplace	76321 ns	86471 ns	0.88
array/reverse/2d	52401 ns	50661 ns	1.03
array/reverse/2dL	102471 ns	100341 ns	1.02
array/reverse/2dL_inplace	127432 ns	117622 ns	1.08
array/reverse/2d_inplace	86751 ns	95391 ns	0.91
array/sorting/1d	394695 ns	341945 ns	1.15
integration/byval/reference	39261 ns	38830 ns	1.01
integration/byval/slices=1	40301 ns	40880 ns	0.99
integration/byval/slices=2	149502 ns	158462 ns	0.94
integration/byval/slices=3	240744 ns	238013 ns	1.01
integration/volumerhs	5038840 ns	4942659 ns	1.02
kernel/indexing	60811 ns	43630 ns	1.39
kernel/indexing_checked	122032 ns	128022 ns	0.95
kernel/launch	1280 ns	1290 ns	0.99
kernel/rand	123381 ns	106671 ns	1.16
latency/import	1496379632 ns	1501349912 ns	1.00
latency/precompile	11972833506 ns	12041117438 ns	0.99
latency/ttfp	10899717433 ns	10491950084 ns	1.04

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