Simplify lifetime management using ObjectiveC.jl's ARC

[maleadt]

x-ref JuliaInterop/ObjectiveC.jl#80

[codecov]

Codecov Report

❌ Patch coverage is 75.31646% with 39 lines in your changes missing coverage. Please review.
✅ Project coverage is 85.37%. Comparing base (224d0e2) to head (aac9042).
⚠️ Report is 1 commits behind head on main.

Files with missing lines	Patch %	Lines
lib/mpsgraphs/operations.jl	61.11%	7 Missing ⚠️
lib/mpsgraphs/tensor.jl	22.22%	7 Missing ⚠️
src/initialization.jl	44.44%	5 Missing ⚠️
lib/mps/ndarray.jl	66.66%	4 Missing ⚠️
lib/mtl/texture.jl	0.00%	3 Missing ⚠️
lib/mps/images.jl	0.00%	2 Missing ⚠️
lib/mps/matrixrandom.jl	71.42%	2 Missing ⚠️
lib/mpsgraphs/execution.jl	0.00%	2 Missing ⚠️
lib/mtl/command_queue.jl	33.33%	2 Missing ⚠️
lib/mps/command_buf.jl	50.00%	1 Missing ⚠️
... and 4 more

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #851      +/-   ##
==========================================
+ Coverage   84.00%   85.37%   +1.37%     
==========================================
  Files          69       69              
  Lines        4400     4136     -264     
==========================================
- Hits         3696     3531     -165     
+ Misses        704      605      -99     

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[github-actions]

Metal Benchmarks

Details

Benchmark suite	Current: aac9042	Previous: 88f4d1b	Ratio
array/accumulate/Float32/1d	831750 ns	835583.5 ns	1.00
array/accumulate/Float32/dims=1	981917 ns	987166.5 ns	0.99
array/accumulate/Float32/dims=1L	8675146 ns	8678125 ns	1.00
array/accumulate/Float32/dims=2	1252895.5 ns	1265208.5 ns	0.99
array/accumulate/Float32/dims=2L	4203396.5 ns	4201625 ns	1.00
array/accumulate/Int64/1d	927500 ns	928292 ns	1.00
array/accumulate/Int64/dims=1	1109854.5 ns	1110750 ns	1.00
array/accumulate/Int64/dims=1L	9820542 ns	9880833 ns	0.99
array/accumulate/Int64/dims=2	1454479 ns	1481042 ns	0.98
array/accumulate/Int64/dims=2L	7056354.5 ns	7062208 ns	1.00
array/broadcast	336270.5 ns	335229 ns	1.00
array/construct	3291 ns	3375 ns	0.98
array/permutedims/2d	628083 ns	725771 ns	0.87
array/permutedims/3d	1095708 ns	1218667 ns	0.90
array/permutedims/4d	1137375 ns	1203916 ns	0.94
array/private/copy	424208 ns	421625 ns	1.01
array/private/copyto!/cpu_to_gpu	361979 ns	365708.5 ns	0.99
array/private/copyto!/gpu_to_cpu	355083 ns	353000 ns	1.01
array/private/copyto!/gpu_to_gpu	309395.5 ns	329104.5 ns	0.94
array/private/iteration/findall/bool	1187916 ns	1190583 ns	1.00
array/private/iteration/findall/int	1318750 ns	1321459 ns	1.00
array/private/iteration/findfirst/bool	1329479.5 ns	1322083.5 ns	1.01
array/private/iteration/findfirst/int	1394833 ns	1386750 ns	1.01
array/private/iteration/findmin/1d	1529000 ns	1522708 ns	1.00
array/private/iteration/findmin/2d	1223875 ns	1231458 ns	0.99
array/private/iteration/logical	1989250 ns	1990750 ns	1.00
array/private/iteration/scalar	1756875 ns	1826771 ns	0.96
array/random/rand/Float32	604020.5 ns	603375 ns	1.00
array/random/rand/Int64	655709 ns	653625 ns	1.00
array/random/rand!/Float32	496959 ns	497750 ns	1.00
array/random/rand!/Int64	473625 ns	474834 ns	1.00
array/random/randn/Float32	558916.5 ns	556666 ns	1.00
array/random/randn!/Float32	452500 ns	452208 ns	1.00
array/reductions/mapreduce/Float32/1d	615584 ns	618292 ns	1.00
array/reductions/mapreduce/Float32/dims=1	447625 ns	451375 ns	0.99
array/reductions/mapreduce/Float32/dims=1L	710875 ns	711000 ns	1.00
array/reductions/mapreduce/Float32/dims=2	450375 ns	457000 ns	0.99
array/reductions/mapreduce/Float32/dims=2L	836333 ns	856917 ns	0.98
array/reductions/mapreduce/Int64/1d	798833.5 ns	804917 ns	0.99
array/reductions/mapreduce/Int64/dims=1	765833.5 ns	762083 ns	1.00
array/reductions/mapreduce/Int64/dims=1L	1277000 ns	1310625 ns	0.97
array/reductions/mapreduce/Int64/dims=2	799208 ns	774416 ns	1.03
array/reductions/mapreduce/Int64/dims=2L	2170104.5 ns	2169916 ns	1.00
array/reductions/reduce/Float32/1d	603687.5 ns	603187 ns	1.00
array/reductions/reduce/Float32/dims=1	443584 ns	446458 ns	0.99
array/reductions/reduce/Float32/dims=1L	710417 ns	707145.5 ns	1.00
array/reductions/reduce/Float32/dims=2	444083 ns	451208 ns	0.98
array/reductions/reduce/Float32/dims=2L	834292 ns	849459 ns	0.98
array/reductions/reduce/Int64/1d	788709 ns	794083 ns	0.99
array/reductions/reduce/Int64/dims=1	761937.5 ns	757083 ns	1.01
array/reductions/reduce/Int64/dims=1L	1236417 ns	1282625 ns	0.96
array/reductions/reduce/Int64/dims=2	788708 ns	821354.5 ns	0.96
array/reductions/reduce/Int64/dims=2L	2150458 ns	2150000 ns	1.00
array/shared/copy	170458 ns	173375 ns	0.98
array/shared/copyto!/cpu_to_gpu	39208 ns	40958 ns	0.96
array/shared/copyto!/gpu_to_cpu	39959 ns	40625 ns	0.98
array/shared/copyto!/gpu_to_gpu	40958 ns	42875 ns	0.96
array/shared/iteration/findall/bool	1197416 ns	1200625 ns	1.00
array/shared/iteration/findall/int	1326959 ns	1329084 ns	1.00
array/shared/iteration/findfirst/bool	967042 ns	1056875 ns	0.92
array/shared/iteration/findfirst/int	986959 ns	1055625 ns	0.93
array/shared/iteration/findmin/1d	1284916.5 ns	1282042 ns	1.00
array/shared/iteration/findmin/2d	1221042 ns	1233667 ns	0.99
array/shared/iteration/logical	1792000 ns	1798958 ns	1.00
array/shared/iteration/scalar	2615.777777777778 ns	4666.571428571428 ns	0.56
integration/byval/reference	1153042 ns	1150625 ns	1.00
integration/byval/slices=1	1151917 ns	1151041 ns	1.00
integration/byval/slices=2	2081917 ns	2080208 ns	1.00
integration/byval/slices=3	17299833 ns	18237250 ns	0.95
integration/metaldevrt	441104.5 ns	440458 ns	1.00
kernel/indexing	334208 ns	329292 ns	1.01
kernel/indexing_checked	492917 ns	489250 ns	1.01
kernel/launch	1941.7 ns	1970.8 ns	0.99
kernel/rand	492854.5 ns	495083 ns	1.00
latency/import	1877909167 ns	1675065313 ns	1.12
latency/precompile	37012596166.5 ns	36652152708.5 ns	1.01
latency/ttfp	2098318708 ns	2008984187.5 ns	1.04
metal/synchronization/context	457.90909090909093 ns	652.6153846153846 ns	0.70
metal/synchronization/stream	193.8942731277533 ns	396.03960396039605 ns	0.49

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