Support Julia 1.13 with fix for @device_functions macro

[KSepetanc]

Closes #3019.

@eschnett asked me to create a new duplicate PR #3020 of his, but with fix for macro @device_functions. He couldn't test if the fix works as I made PR on his fork that does not have CI infrastructure.

[eschnett]

Well, I didn't really ask for a duplicate PR. I suggested to either merge them into CUDA.jl as two separate, sequential PRs, or – if you want to merge them as a single PR into CUDA.jl – create such a PR. I don't care either way; using two separate PRs seems simpler, but I leave that choice up to you.

[KSepetanc]

The way I see it, this is the second option, i.e. single PR with both changes.

@device_functions macro is broken due to changes in 1.13 so it makes sense to include it in PR for 1.13 support.

[codecov]

Codecov Report

❌ Patch coverage is 50.00000% with 3 lines in your changes missing coverage. Please review.
✅ Project coverage is 89.35%. Comparing base (7a27d77) to head (aa08bb6).

Files with missing lines	Patch %	Lines
lib/nvml/NVML.jl	50.00%	3 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##           master    #3031      +/-   ##
==========================================
- Coverage   89.46%   89.35%   -0.12%     
==========================================
  Files         148      148              
  Lines       13047    13044       -3     
==========================================
- Hits        11673    11655      -18     
- Misses       1374     1389      +15     

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[github-actions]

CUDA.jl Benchmarks

Details

Benchmark suite	Current: aa08bb6	Previous: 7a27d77	Ratio
latency/precompile	43987599741.5 ns	44455759835 ns	0.99
latency/ttfp	13112185336 ns	13140153243 ns	1.00
latency/import	3768904795 ns	3755312424 ns	1.00
integration/volumerhs	9441187.5 ns	9442840 ns	1.00
integration/byval/slices=1	145953 ns	145598 ns	1.00
integration/byval/slices=3	423132 ns	422554 ns	1.00
integration/byval/reference	144068 ns	143811 ns	1.00
integration/byval/slices=2	284567 ns	284011 ns	1.00
integration/cudadevrt	102730.5 ns	102397 ns	1.00
kernel/indexing	13556 ns	13434 ns	1.01
kernel/indexing_checked	14190 ns	13908 ns	1.02
kernel/occupancy	656.4909090909091 ns	644.5636363636364 ns	1.02
kernel/launch	2165.4 ns	2090.3 ns	1.04
kernel/rand	14651 ns	14479 ns	1.01
array/reverse/1d	19132 ns	18661 ns	1.03
array/reverse/2dL_inplace	66383 ns	66252 ns	1.00
array/reverse/1dL	69365 ns	68893 ns	1.01
array/reverse/2d	20812.5 ns	21087 ns	0.99
array/reverse/1d_inplace	10603.166666666668 ns	10503.833333333332 ns	1.01
array/reverse/2d_inplace	11726 ns	11399.5 ns	1.03
array/reverse/2dL	72872 ns	73163 ns	1.00
array/reverse/1dL_inplace	66310 ns	66146 ns	1.00
array/copy	18407 ns	18502.5 ns	0.99
array/iteration/findall/int	145156.5 ns	146476.5 ns	0.99
array/iteration/findall/bool	130342 ns	130795 ns	1.00
array/iteration/findfirst/int	83970.5 ns	84133 ns	1.00
array/iteration/findfirst/bool	81352 ns	81624.5 ns	1.00
array/iteration/scalar	66441 ns	65804 ns	1.01
array/iteration/logical	196855 ns	198187.5 ns	0.99
array/iteration/findmin/1d	84288 ns	86504 ns	0.97
array/iteration/findmin/2d	116696 ns	117154 ns	1.00
array/reductions/reduce/Int64/1d	38815 ns	41088.5 ns	0.94
array/reductions/reduce/Int64/dims=1	42194.5 ns	52190.5 ns	0.81
array/reductions/reduce/Int64/dims=2	59158 ns	59179 ns	1.00
array/reductions/reduce/Int64/dims=1L	87315 ns	87126 ns	1.00
array/reductions/reduce/Int64/dims=2L	84580 ns	84418.5 ns	1.00
array/reductions/reduce/Float32/1d	34125.5 ns	34001 ns	1.00
array/reductions/reduce/Float32/dims=1	40912 ns	39890 ns	1.03
array/reductions/reduce/Float32/dims=2	56426.5 ns	55899 ns	1.01
array/reductions/reduce/Float32/dims=1L	51790 ns	51535 ns	1.00
array/reductions/reduce/Float32/dims=2L	70031 ns	69798 ns	1.00
array/reductions/mapreduce/Int64/1d	38957 ns	40980.5 ns	0.95
array/reductions/mapreduce/Int64/dims=1	51415 ns	41741 ns	1.23
array/reductions/mapreduce/Int64/dims=2	58881.5 ns	59036 ns	1.00
array/reductions/mapreduce/Int64/dims=1L	87459 ns	87134 ns	1.00
array/reductions/mapreduce/Int64/dims=2L	84594 ns	84427 ns	1.00
array/reductions/mapreduce/Float32/1d	33985 ns	33457 ns	1.02
array/reductions/mapreduce/Float32/dims=1	39625 ns	48711 ns	0.81
array/reductions/mapreduce/Float32/dims=2	56741 ns	55941 ns	1.01
array/reductions/mapreduce/Float32/dims=1L	51514 ns	51352 ns	1.00
array/reductions/mapreduce/Float32/dims=2L	69443.5 ns	68956 ns	1.01
array/broadcast	20582 ns	20251 ns	1.02
array/copyto!/gpu_to_gpu	10606.333333333334 ns	10684.333333333334 ns	0.99
array/copyto!/cpu_to_gpu	213329 ns	214898 ns	0.99
array/copyto!/gpu_to_cpu	284108 ns	281876 ns	1.01
array/accumulate/Int64/1d	117753 ns	118336 ns	1.00
array/accumulate/Int64/dims=1	79494 ns	79780 ns	1.00
array/accumulate/Int64/dims=2	155312.5 ns	155968.5 ns	1.00
array/accumulate/Int64/dims=1L	1698684 ns	1694089 ns	1.00
array/accumulate/Int64/dims=2L	960326.5 ns	960949 ns	1.00
array/accumulate/Float32/1d	100444 ns	100823 ns	1.00
array/accumulate/Float32/dims=1	76182 ns	76350 ns	1.00
array/accumulate/Float32/dims=2	144330.5 ns	144365 ns	1.00
array/accumulate/Float32/dims=1L	1584804 ns	1584729 ns	1.00
array/accumulate/Float32/dims=2L	656644 ns	656302 ns	1.00
array/construct	1334.6 ns	1283.1 ns	1.04
array/random/randn/Float32	36132 ns	36610 ns	0.99
array/random/randn!/Float32	30242 ns	30335 ns	1.00
array/random/rand!/Int64	27134.5 ns	26934 ns	1.01
array/random/rand!/Float32	8286.333333333334 ns	8186.666666666667 ns	1.01
array/random/rand/Int64	36919 ns	30201.5 ns	1.22
array/random/rand/Float32	12506 ns	12396 ns	1.01
array/permutedims/4d	55908 ns	52729 ns	1.06
array/permutedims/2d	52565 ns	52645 ns	1.00
array/permutedims/3d	52683 ns	53080 ns	0.99
array/sorting/1d	2735353.5 ns	2736443 ns	1.00
array/sorting/by	3305047.5 ns	3305811 ns	1.00
array/sorting/2d	1068187 ns	1071655.5 ns	1.00
cuda/synchronization/stream/auto	983.6470588235294 ns	1034.5263157894738 ns	0.95
cuda/synchronization/stream/nonblocking	8144.2 ns	7705.9 ns	1.06
cuda/synchronization/stream/blocking	823.6262626262626 ns	784.4516129032259 ns	1.05
cuda/synchronization/context/auto	1133.7 ns	1133.5 ns	1.00
cuda/synchronization/context/nonblocking	8208.9 ns	7594.6 ns	1.08
cuda/synchronization/context/blocking	905.6326530612245 ns	885.6792452830189 ns	1.02

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