Sparse conversion tests

[kshyatt]

Checked locally that this will hit https://app.codecov.io/gh/JuliaGPU/CUDA.jl/blob/ksh%2Fsparse_tests/lib%2Fcusparse%2Fconversions.jl#L280 and co.

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diff --git a/test/libraries/cusparse/conversions.jl b/test/libraries/cusparse/conversions.jl
index 674755df7..981e442dd 100644
--- a/test/libraries/cusparse/conversions.jl
+++ b/test/libraries/cusparse/conversions.jl
@@ -68,7 +68,7 @@ end
 @testset "CuSparseMatrix(::Adjoint/::Transpose)" begin
     for typ in (Float32, ComplexF32, Float64, ComplexF64), (outer_T, T) in ((CuSparseMatrixCSC, CuSparseMatrixCSR{typ}), (CuSparseMatrixCSR, CuSparseMatrixCSC{typ}))
         A = sprand(typ, 5, 5, 0.2)
-        d_A = outer_T(A) 
+        d_A = outer_T(A)
         for f in (transpose, adjoint)
             dA = T(f(d_A))
             @test Array(dA) == f(A)

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 83.38%. Comparing base (e656414) to head (4316e28).
Report is 2 commits behind head on master.

Additional details and impacted files

@@            Coverage Diff             @@
##           master    #2698      +/-   ##
==========================================
+ Coverage   83.25%   83.38%   +0.13%     
==========================================
  Files         153      153              
  Lines       13606    13606              
==========================================
+ Hits        11328    11346      +18     
+ Misses       2278     2260      -18     

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CUDA.jl Benchmarks

Details

Benchmark suite	Current: 07be73e	Previous: e656414	Ratio
latency/precompile	45608352592 ns	46184695283 ns	0.99
latency/ttfp	6472884075 ns	7102287310 ns	0.91
latency/import	3129088469 ns	3740030164 ns	0.84
integration/volumerhs	9625046.5 ns	9625749.5 ns	1.00
integration/byval/slices=1	147158 ns	146958 ns	1.00
integration/byval/slices=3	425597 ns	425220.5 ns	1.00
integration/byval/reference	145167 ns	145179 ns	1.00
integration/byval/slices=2	286411 ns	286124 ns	1.00
integration/cudadevrt	103480 ns	103528 ns	1.00
kernel/indexing	14310 ns	14235 ns	1.01
kernel/indexing_checked	15009 ns	14900 ns	1.01
kernel/occupancy	682.0848484848485 ns	671.246835443038 ns	1.02
kernel/launch	2173 ns	2207.5555555555557 ns	0.98
kernel/rand	14820 ns	17974 ns	0.82
array/reverse/1d	20180 ns	19747 ns	1.02
array/reverse/2d	25187 ns	23841 ns	1.06
array/reverse/1d_inplace	10480 ns	10823 ns	0.97
array/reverse/2d_inplace	12055 ns	13333 ns	0.90
array/copy	21359 ns	21108 ns	1.01
array/iteration/findall/int	159220 ns	158270.5 ns	1.01
array/iteration/findall/bool	139378 ns	138384 ns	1.01
array/iteration/findfirst/int	168177.5 ns	153893 ns	1.09
array/iteration/findfirst/bool	171470 ns	155197 ns	1.10
array/iteration/scalar	71518 ns	71501 ns	1.00
array/iteration/logical	211360.5 ns	214739.5 ns	0.98
array/iteration/findmin/1d	41664.5 ns	41669.5 ns	1.00
array/iteration/findmin/2d	94202 ns	94392 ns	1.00
array/reductions/reduce/1d	36423 ns	57479.5 ns	0.63
array/reductions/reduce/2d	41260 ns	52722 ns	0.78
array/reductions/mapreduce/1d	34314 ns	50274.5 ns	0.68
array/reductions/mapreduce/2d	41641 ns	52783 ns	0.79
array/broadcast	21287 ns	20863 ns	1.02
array/copyto!/gpu_to_gpu	13825 ns	11866 ns	1.17
array/copyto!/cpu_to_gpu	211361 ns	209806.5 ns	1.01
array/copyto!/gpu_to_cpu	244393 ns	245475.5 ns	1.00
array/accumulate/1d	109541 ns	108861 ns	1.01
array/accumulate/2d	80520 ns	80316 ns	1.00
array/construct	1294 ns	1316.4 ns	0.98
array/random/randn/Float32	44708 ns	44869 ns	1.00
array/random/randn!/Float32	26734 ns	26707 ns	1.00
array/random/rand!/Int64	27200 ns	27172 ns	1.00
array/random/rand!/Float32	8613.333333333334 ns	8730.666666666666 ns	0.99
array/random/rand/Int64	36164.5 ns	38012 ns	0.95
array/random/rand/Float32	13168 ns	12966 ns	1.02
array/permutedims/4d	62034 ns	61729.5 ns	1.00
array/permutedims/2d	55971 ns	55273.5 ns	1.01
array/permutedims/3d	56885 ns	56236 ns	1.01
array/sorting/1d	2777285 ns	2775903.5 ns	1.00
array/sorting/by	3369803 ns	3366504 ns	1.00
array/sorting/2d	1085534 ns	1085191 ns	1.00
cuda/synchronization/stream/auto	1039.2 ns	1022.9 ns	1.02
cuda/synchronization/stream/nonblocking	6450.2 ns	6571.2 ns	0.98
cuda/synchronization/stream/blocking	830.5098039215686 ns	797.87 ns	1.04
cuda/synchronization/context/auto	1199.9 ns	1238.6 ns	0.97
cuda/synchronization/context/nonblocking	6783.5 ns	6761.2 ns	1.00
cuda/synchronization/context/blocking	956.3243243243244 ns	942.1891891891892 ns	1.02

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