Update to new alloc cache interface.

[maleadt]

JuliaGPU/GPUArrays.jl#583

[github-actions]

Some suggestions could not be made:

• src/array.jl
  • lines 88-89

[github-actions]

Suggested change

	data = GPUArrays.cached_alloc((CuArray, device(), M, bufsize)) do
	DataRef(pool_free, pool_alloc(M, bufsize))
	end
	obj = new{T,N,M}(data, maxsize, 0, dims)
	finalizer(unsafe_free!, obj)
	return obj
	data = GPUArrays.cached_alloc((CuArray, device(), M, bufsize)) do
	DataRef(pool_free, pool_alloc(M, bufsize))
	end
	obj = new{T, N, M}(data, maxsize, 0, dims)
	finalizer(unsafe_free!, obj)
	return obj

[github-actions]

Some suggestions could not be made:

• src/array.jl
  • lines 88-89

[github-actions]

Suggested change

	data = GPUArrays.cached_alloc((CuArray, device(), M, bufsize)) do
	DataRef(pool_free, pool_alloc(M, bufsize))
	end
	obj = new{T,N,M}(data, maxsize, 0, dims)
	finalizer(unsafe_free!, obj)
	return obj
	data = GPUArrays.cached_alloc((CuArray, device(), M, bufsize)) do
	DataRef(pool_free, pool_alloc(M, bufsize))
	end
	obj = new{T, N, M}(data, maxsize, 0, dims)
	finalizer(unsafe_free!, obj)
	return obj

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 73.59%. Comparing base (fe0419a) to head (eb33d4e).
Report is 2 commits behind head on master.

Additional details and impacted files

@@             Coverage Diff             @@
##           master    #2614       +/-   ##
===========================================
+ Coverage    5.96%   73.59%   +67.62%     
===========================================
  Files         157      157               
  Lines       15038    15230      +192     
===========================================
+ Hits          897    11208    +10311     
+ Misses      14141     4022    -10119     

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[github-actions]

CUDA.jl Benchmarks

Benchmark suite	Current: eb33d4e	Previous: 774abc6	Ratio
latency/precompile	45397878341 ns	45532671418 ns	1.00
latency/ttfp	6420318339.5 ns	6382276443.5 ns	1.01
latency/import	3049558823 ns	3039078540.5 ns	1.00
integration/volumerhs	9567331 ns	9567627 ns	1.00
integration/byval/slices=1	146661 ns	146713 ns	1.00
integration/byval/slices=3	425651 ns	425286 ns	1.00
integration/byval/reference	144728 ns	144622 ns	1.00
integration/byval/slices=2	286144 ns	286077 ns	1.00
integration/cudadevrt	103442 ns	103283 ns	1.00
kernel/indexing	13963 ns	14073 ns	0.99
kernel/indexing_checked	15101 ns	15126 ns	1.00
kernel/occupancy	708.4836601307189 ns	710.5460992907801 ns	1.00
kernel/launch	2105.8 ns	2120.3 ns	0.99
kernel/rand	16810 ns	14743 ns	1.14
array/reverse/1d	19782 ns	19325.5 ns	1.02
array/reverse/2d	23929 ns	24669 ns	0.97
array/reverse/1d_inplace	10064.333333333334 ns	10913.666666666666 ns	0.92
array/reverse/2d_inplace	11161 ns	11253 ns	0.99
array/copy	20853 ns	20229 ns	1.03
array/iteration/findall/int	158429 ns	157863.5 ns	1.00
array/iteration/findall/bool	138836.5 ns	138404.5 ns	1.00
array/iteration/findfirst/int	154009 ns	153375 ns	1.00
array/iteration/findfirst/bool	155150 ns	154273 ns	1.01
array/iteration/scalar	78337 ns	75697 ns	1.03
array/iteration/logical	214802.5 ns	212853.5 ns	1.01
array/iteration/findmin/1d	41477 ns	41543 ns	1.00
array/iteration/findmin/2d	94799 ns	93933.5 ns	1.01
array/reductions/reduce/1d	41864 ns	35999 ns	1.16
array/reductions/reduce/2d	46498 ns	41907.5 ns	1.11
array/reductions/mapreduce/1d	39069 ns	33891.5 ns	1.15
array/reductions/mapreduce/2d	51362.5 ns	41528 ns	1.24
array/broadcast	21291 ns	21376 ns	1.00
array/copyto!/gpu_to_gpu	13431 ns	11516 ns	1.17
array/copyto!/cpu_to_gpu	212369 ns	210665 ns	1.01
array/copyto!/gpu_to_cpu	244285.5 ns	243223.5 ns	1.00
array/accumulate/1d	108232 ns	108164 ns	1.00
array/accumulate/2d	80093 ns	79823.5 ns	1.00
array/construct	1251.1 ns	1284.3 ns	0.97
array/random/randn/Float32	49579 ns	49740 ns	1.00
array/random/randn!/Float32	26496 ns	26117 ns	1.01
array/random/rand!/Int64	27075 ns	27030 ns	1.00
array/random/rand!/Float32	8643.333333333334 ns	8836.333333333334 ns	0.98
array/random/rand/Int64	29873 ns	37762.5 ns	0.79
array/random/rand/Float32	13113 ns	13046 ns	1.01
array/permutedims/4d	67087.5 ns	66810 ns	1.00
array/permutedims/2d	56669 ns	56518 ns	1.00
array/permutedims/3d	59144 ns	59273.5 ns	1.00
array/sorting/1d	2932542 ns	2933200.5 ns	1.00
array/sorting/by	3499198 ns	3500043 ns	1.00
array/sorting/2d	1085381 ns	1084935 ns	1.00
cuda/synchronization/stream/auto	1060.9 ns	1035.9 ns	1.02
cuda/synchronization/stream/nonblocking	6515.8 ns	6536.8 ns	1.00
cuda/synchronization/stream/blocking	815.8941176470588 ns	791.2244897959183 ns	1.03
cuda/synchronization/context/auto	1192.1 ns	1182.9 ns	1.01
cuda/synchronization/context/nonblocking	6709.4 ns	6769.6 ns	0.99
cuda/synchronization/context/blocking	921.525 ns	915.2666666666667 ns	1.01

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