Remove convert method piracy, avoiding downstream invalidations.

[maleadt]

No description provided.

[codecov]

Codecov Report

❌ Patch coverage is 0% with 4 lines in your changes missing coverage. Please review.
✅ Project coverage is 16.41%. Comparing base (5e4118b) to head (2f0c78a).
⚠️ Report is 2 commits behind head on master.

Files with missing lines	Patch %	Lines
lib/cusparse/src/types.jl	0.00%	1 Missing ⚠️
lib/custatevec/src/types.jl	0.00%	1 Missing ⚠️
lib/cutensor/src/types.jl	0.00%	1 Missing ⚠️
lib/cutensornet/src/types.jl	0.00%	1 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##           master    #3126      +/-   ##
==========================================
- Coverage   16.43%   16.41%   -0.03%     
==========================================
  Files         123      123              
  Lines        9678     9678              
==========================================
- Hits         1591     1589       -2     
- Misses       8087     8089       +2     

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[github-actions]

CUDA.jl Benchmarks

Details

Benchmark suite	Current: 2f0c78a	Previous: d627b3e	Ratio
array/accumulate/Float32/1d	100744 ns	100853 ns	1.00
array/accumulate/Float32/dims=1	75838 ns	76362 ns	0.99
array/accumulate/Float32/dims=1L	1584211 ns	1585357 ns	1.00
array/accumulate/Float32/dims=2	143021 ns	143506 ns	1.00
array/accumulate/Float32/dims=2L	656934 ns	657416 ns	1.00
array/accumulate/Int64/1d	118555 ns	118459.5 ns	1.00
array/accumulate/Int64/dims=1	79352.5 ns	79599 ns	1.00
array/accumulate/Int64/dims=1L	1694159 ns	1694409 ns	1.00
array/accumulate/Int64/dims=2	155424 ns	155450.5 ns	1.00
array/accumulate/Int64/dims=2L	960848 ns	960958 ns	1.00
array/broadcast	20268 ns	20282 ns	1.00
array/construct	1254.7 ns	1328.2 ns	0.94
array/copy	17699 ns	17911 ns	0.99
array/copyto!/cpu_to_gpu	213792 ns	212984 ns	1.00
array/copyto!/gpu_to_cpu	284399 ns	280259 ns	1.01
array/copyto!/gpu_to_gpu	10697 ns	10684 ns	1.00
array/iteration/findall/bool	134162 ns	134327 ns	1.00
array/iteration/findall/int	148496 ns	149222 ns	1.00
array/iteration/findfirst/bool	80262 ns	81163 ns	0.99
array/iteration/findfirst/int	82838 ns	82984 ns	1.00
array/iteration/findmin/1d	83845 ns	85430.5 ns	0.98
array/iteration/findmin/2d	116160 ns	116921 ns	0.99
array/iteration/logical	198614.5 ns	196920 ns	1.01
array/iteration/scalar	67100 ns	67453 ns	0.99
array/permutedims/2d	52172 ns	52024.5 ns	1.00
array/permutedims/3d	52360 ns	52690 ns	0.99
array/permutedims/4d	51236 ns	51921.5 ns	0.99
array/random/rand/Float32	12577 ns	12625 ns	1.00
array/random/rand/Int64	24773 ns	24502 ns	1.01
array/random/rand!/Float32	8335.666666666666 ns	8842 ns	0.94
array/random/rand!/Int64	21632 ns	21520 ns	1.01
array/random/randn/Float32	36524.5 ns	38339 ns	0.95
array/random/randn!/Float32	30676 ns	30558 ns	1.00
array/reductions/mapreduce/Float32/1d	33804.5 ns	34493 ns	0.98
array/reductions/mapreduce/Float32/dims=1	39571.5 ns	39238 ns	1.01
array/reductions/mapreduce/Float32/dims=1L	50937 ns	51115 ns	1.00
array/reductions/mapreduce/Float32/dims=2	56160 ns	56362 ns	1.00
array/reductions/mapreduce/Float32/dims=2L	68866 ns	68855 ns	1.00
array/reductions/mapreduce/Int64/1d	41912.5 ns	41840 ns	1.00
array/reductions/mapreduce/Int64/dims=1	42044 ns	43041.5 ns	0.98
array/reductions/mapreduce/Int64/dims=1L	86929 ns	87062 ns	1.00
array/reductions/mapreduce/Int64/dims=2	59208 ns	59400.5 ns	1.00
array/reductions/mapreduce/Int64/dims=2L	84267 ns	84650 ns	1.00
array/reductions/reduce/Float32/1d	34069 ns	34748 ns	0.98
array/reductions/reduce/Float32/dims=1	48947 ns	42567 ns	1.15
array/reductions/reduce/Float32/dims=1L	50929 ns	51269 ns	0.99
array/reductions/reduce/Float32/dims=2	56260 ns	56421.5 ns	1.00
array/reductions/reduce/Float32/dims=2L	69436 ns	69423 ns	1.00
array/reductions/reduce/Int64/1d	41743 ns	41786 ns	1.00
array/reductions/reduce/Int64/dims=1	47664.5 ns	41701 ns	1.14
array/reductions/reduce/Int64/dims=1L	86938 ns	87004 ns	1.00
array/reductions/reduce/Int64/dims=2	59067 ns	59173 ns	1.00
array/reductions/reduce/Int64/dims=2L	84074 ns	84474 ns	1.00
array/reverse/1d	17666.5 ns	17689 ns	1.00
array/reverse/1dL	68290 ns	68239 ns	1.00
array/reverse/1dL_inplace	65638 ns	65528 ns	1.00
array/reverse/1d_inplace	10288.666666666666 ns	8294.666666666666 ns	1.24
array/reverse/2d	20263 ns	20296 ns	1.00
array/reverse/2dL	72296 ns	72502 ns	1.00
array/reverse/2dL_inplace	65661 ns	65556 ns	1.00
array/reverse/2d_inplace	9845 ns	9743 ns	1.01
array/sorting/1d	2735029 ns	2734808 ns	1.00
array/sorting/2d	1068427 ns	1071711 ns	1.00
array/sorting/by	3304485.5 ns	3304331 ns	1.00
cuda/synchronization/context/auto	1148.9 ns	1162.7 ns	0.99
cuda/synchronization/context/blocking	931.5652173913044 ns	928.3666666666667 ns	1.00
cuda/synchronization/context/nonblocking	7163.1 ns	6978.1 ns	1.03
cuda/synchronization/stream/auto	980.875 ns	994.2105263157895 ns	0.99
cuda/synchronization/stream/blocking	843.1770833333334 ns	840.6543209876543 ns	1.00
cuda/synchronization/stream/nonblocking	8188 ns	7241.299999999999 ns	1.13
integration/byval/reference	143654 ns	143552.5 ns	1.00
integration/byval/slices=1	145489 ns	145385 ns	1.00
integration/byval/slices=2	284131 ns	284202.5 ns	1.00
integration/byval/slices=3	422637 ns	422620 ns	1.00
integration/cudadevrt	102271 ns	102213 ns	1.00
integration/volumerhs	23470755 ns	23474593 ns	1.00
kernel/indexing	12967 ns	12944 ns	1.00
kernel/indexing_checked	13760 ns	13691.5 ns	1.01
kernel/launch	2090.6666666666665 ns	2106.5555555555557 ns	0.99
kernel/occupancy	690.4076433121019 ns	665.54375 ns	1.04
kernel/rand	15422 ns	13998 ns	1.10
latency/import	3827527281.5 ns	3829156614.5 ns	1.00
latency/precompile	4584449187.5 ns	4603348569 ns	1.00
latency/ttfp	4397123386 ns	4403053778.5 ns	1.00

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