Remove CUPTI check now that CUDA 13 update 1 is out

[kshyatt]

No description provided.

[github-actions]

CUDA.jl Benchmarks

Benchmark suite	Current: d5523a2	Previous: dfaabdb	Ratio
latency/precompile	43740998178.5 ns	43590558495.5 ns	1.00
latency/ttfp	7294945333 ns	7344099780 ns	0.99
latency/import	3845870338 ns	3861207415.5 ns	1.00
integration/volumerhs	9610799 ns	9615837.5 ns	1.00
integration/byval/slices=1	146930 ns	147037 ns	1.00
integration/byval/slices=3	426056 ns	425997.5 ns	1.00
integration/byval/reference	145085 ns	145256 ns	1.00
integration/byval/slices=2	286755 ns	286737 ns	1.00
integration/cudadevrt	103489 ns	103728 ns	1.00
kernel/indexing	14238 ns	14435 ns	0.99
kernel/indexing_checked	14869 ns	14949 ns	0.99
kernel/occupancy	668.5723270440252 ns	666.73125 ns	1.00
kernel/launch	2174 ns	2251.222222222222 ns	0.97
kernel/rand	15043 ns	14910 ns	1.01
array/reverse/1d	19834 ns	20055 ns	0.99
array/reverse/2d	25085.5 ns	25280.5 ns	0.99
array/reverse/1d_inplace	10585 ns	10892 ns	0.97
array/reverse/2d_inplace	12245 ns	12408 ns	0.99
array/copy	20749.5 ns	21086 ns	0.98
array/iteration/findall/int	157276 ns	159097.5 ns	0.99
array/iteration/findall/bool	139656.5 ns	140713 ns	0.99
array/iteration/findfirst/int	2160964 ns	2162799.5 ns	1.00
array/iteration/findfirst/bool	2140311.5 ns	2141641 ns	1.00
array/iteration/scalar	72248 ns	74637 ns	0.97
array/iteration/logical	234026 ns	238771 ns	0.98
array/iteration/findmin/1d	257743 ns	259592 ns	0.99
array/iteration/findmin/2d	96270.5 ns	97114 ns	0.99
array/reductions/reduce/Int64/1d	146998.5 ns	148270 ns	0.99
array/reductions/reduce/Int64/dims=1	43621 ns	44696 ns	0.98
array/reductions/reduce/Int64/dims=2	61235.5 ns	61857 ns	0.99
array/reductions/reduce/Int64/dims=1L	88705 ns	89351 ns	0.99
array/reductions/reduce/Int64/dims=2L	666609 ns	658275 ns	1.01
array/reductions/reduce/Float32/1d	103959 ns	104593.5 ns	0.99
array/reductions/reduce/Float32/dims=1	40918 ns	41280 ns	0.99
array/reductions/reduce/Float32/dims=2	59576 ns	59725 ns	1.00
array/reductions/reduce/Float32/dims=1L	52384 ns	52485 ns	1.00
array/reductions/reduce/Float32/dims=2L	547655 ns	544164 ns	1.01
array/reductions/mapreduce/Int64/1d	148530.5 ns	149156 ns	1.00
array/reductions/mapreduce/Int64/dims=1	44006 ns	44370 ns	0.99
array/reductions/mapreduce/Int64/dims=2	61378 ns	62012 ns	0.99
array/reductions/mapreduce/Int64/dims=1L	88739 ns	89327 ns	0.99
array/reductions/mapreduce/Int64/dims=2L	685775 ns	682325 ns	1.01
array/reductions/mapreduce/Float32/1d	104777.5 ns	105007 ns	1.00
array/reductions/mapreduce/Float32/dims=1	40821.5 ns	41225 ns	0.99
array/reductions/mapreduce/Float32/dims=2	59278 ns	59806 ns	0.99
array/reductions/mapreduce/Float32/dims=1L	52875 ns	52777 ns	1.00
array/reductions/mapreduce/Float32/dims=2L	546561 ns	546720 ns	1.00
array/broadcast	20266 ns	20550 ns	0.99
array/copyto!/gpu_to_gpu	12701 ns	13092 ns	0.97
array/copyto!/cpu_to_gpu	215887 ns	217526 ns	0.99
array/copyto!/gpu_to_cpu	286532 ns	285472 ns	1.00
array/accumulate/Int64/1d	124860 ns	125445.5 ns	1.00
array/accumulate/Int64/dims=1	83612 ns	84607 ns	0.99
array/accumulate/Int64/dims=2	158367 ns	159195 ns	0.99
array/accumulate/Int64/dims=1L	1720479.5 ns	1711030.5 ns	1.01
array/accumulate/Int64/dims=2L	968217 ns	967534 ns	1.00
array/accumulate/Float32/1d	109158 ns	110309 ns	0.99
array/accumulate/Float32/dims=1	80566 ns	81245 ns	0.99
array/accumulate/Float32/dims=2	147383.5 ns	148275 ns	0.99
array/accumulate/Float32/dims=1L	1618511 ns	1620617.5 ns	1.00
array/accumulate/Float32/dims=2L	697938 ns	701776.5 ns	0.99
array/construct	1619.5 ns	1282.2 ns	1.26
array/random/randn/Float32	43358 ns	48163 ns	0.90
array/random/randn!/Float32	24972 ns	25283 ns	0.99
array/random/rand!/Int64	27556 ns	27992 ns	0.98
array/random/rand!/Float32	8714 ns	8808.666666666666 ns	0.99
array/random/rand/Int64	29823 ns	30736 ns	0.97
array/random/rand/Float32	13034 ns	13312 ns	0.98
array/permutedims/4d	60306.5 ns	61276.5 ns	0.98
array/permutedims/2d	54244 ns	54680 ns	0.99
array/permutedims/3d	54918 ns	55949.5 ns	0.98
array/sorting/1d	2756031.5 ns	2759773 ns	1.00
array/sorting/by	3342585 ns	3355912 ns	1.00
array/sorting/2d	1079663 ns	1085708 ns	0.99
cuda/synchronization/stream/auto	1067.1 ns	1042.5 ns	1.02
cuda/synchronization/stream/nonblocking	6984.5 ns	7909 ns	0.88
cuda/synchronization/stream/blocking	844.506329113924 ns	842.8571428571429 ns	1.00
cuda/synchronization/context/auto	1190.3 ns	1164.4 ns	1.02
cuda/synchronization/context/nonblocking	7423.5 ns	7798.6 ns	0.95
cuda/synchronization/context/blocking	916.2432432432432 ns	891.3921568627451 ns	1.03

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

[maleadt]

Removing doesn't seem safe. CUPTI should be versioned correctly nowadays, so we should compare the 13.0 vs 13.0.1 one and update the check accordingly.

[kshyatt]

I think I sourced the problem, CUDA_Runtime_jll needs an update which I'm working on now.

[maleadt]

JuliaPackaging/Yggdrasil#12039
I'll check what the CUPTI version changes into after merging that.

[github-actions]

Your PR requires formatting changes to meet the project's style guidelines.
Please consider running Runic (git runic master) to apply these changes.

Click here to view the suggested changes.

diff --git a/test/core/profile.jl b/test/core/profile.jl
index ef95d183c..a139b8b04 100644
--- a/test/core/profile.jl
+++ b/test/core/profile.jl
@@ -74,7 +74,7 @@ let
     @test occursin("cuCtxGetCurrent", str)
 end
 
-if CUPTI.version() != v"13.0.0" # NVIDIA/NVTX#125
+            if CUPTI.version() != v"13.0.0" # NVIDIA/NVTX#125
 
 # NVTX markers
 let
@@ -90,7 +90,7 @@ let
     @test occursin("a range", str)
 end
 
-end
+            end
 
 end
 end

Implemented.