Disable nightly CI and fix invalid Metal API usage

[christiangnrd]

No need to run nightly when we know it'll fail considering the current Apple silicon runner situation

[github-actions]

Metal Benchmarks

Benchmark suite	Current: c0d2718	Previous: ff7c7eb	Ratio
private array/construct	26576.333333333332 ns	26687.5 ns	1.00
private array/broadcast	457916.5 ns	465979.5 ns	0.98
private array/random/randn/Float32	1007000 ns	993270.5 ns	1.01
private array/random/randn!/Float32	624854.5 ns	632166.5 ns	0.99
private array/random/rand!/Int64	575687.5 ns	568500 ns	1.01
private array/random/rand!/Float32	586625 ns	583500 ns	1.01
private array/random/rand/Int64	885396 ns	880458 ns	1.01
private array/random/rand/Float32	972750 ns	844333.5 ns	1.15
private array/copyto!/gpu_to_gpu	495270.5 ns	614333 ns	0.81
private array/copyto!/cpu_to_gpu	716709 ns	739479 ns	0.97
private array/copyto!/gpu_to_cpu	586500 ns	599208 ns	0.98
private array/accumulate/1d	1439437 ns	1447750.5 ns	0.99
private array/accumulate/2d	1469541 ns	1496375 ns	0.98
private array/iteration/findall/int	2276896 ns	2263917 ns	1.01
private array/iteration/findall/bool	2040521 ns	1989875 ns	1.03
private array/iteration/findfirst/int	1683145.5 ns	1678000 ns	1.00
private array/iteration/findfirst/bool	1650417 ns	1663625 ns	0.99
private array/iteration/scalar	2420833.5 ns	2393834 ns	1.01
private array/iteration/logical	3427833 ns	3431520.5 ns	1.00
private array/iteration/findmin/1d	1776916 ns	1794125 ns	0.99
private array/iteration/findmin/2d	1374958 ns	1403416 ns	0.98
private array/reductions/reduce/1d	780312.5 ns	805792 ns	0.97
private array/reductions/reduce/2d	697334 ns	704146 ns	0.99
private array/reductions/mapreduce/1d	822541 ns	815812.5 ns	1.01
private array/reductions/mapreduce/2d	700937.5 ns	716666.5 ns	0.98
private array/permutedims/4d	932979 ns	943959 ns	0.99
private array/permutedims/2d	931250 ns	938875 ns	0.99
private array/permutedims/3d	1003917 ns	1005416.5 ns	1.00
private array/copy	844042 ns	862875 ns	0.98
latency/precompile	4418410750 ns	4407793041 ns	1.00
latency/ttfp	6886705542 ns	6915521687.5 ns	1.00
latency/import	727863562.5 ns	726643917 ns	1.00
integration/metaldevrt	743145.5 ns	749270.5 ns	0.99
integration/byval/slices=1	1622792 ns	1557959 ns	1.04
integration/byval/slices=3	8845459 ns	8832020.5 ns	1.00
integration/byval/reference	1521000 ns	1611291 ns	0.94
integration/byval/slices=2	2574417 ns	2583750 ns	1.00
kernel/indexing	462666.5 ns	476584 ns	0.97
kernel/indexing_checked	447020.5 ns	441500 ns	1.01
kernel/launch	11833.5 ns	10875 ns	1.09
metal/synchronization/stream	19000 ns	19208 ns	0.99
metal/synchronization/context	19667 ns	19750 ns	1.00
shared array/construct	24059.083333333336 ns	23756.916666666664 ns	1.01
shared array/broadcast	452333 ns	469584 ns	0.96
shared array/random/randn/Float32	1017208 ns	1020166 ns	1.00
shared array/random/randn!/Float32	634917 ns	634458 ns	1.00
shared array/random/rand!/Int64	571042 ns	572000 ns	1.00
shared array/random/rand!/Float32	590354.5 ns	593208.5 ns	1.00
shared array/random/rand/Int64	836625 ns	742792 ns	1.13
shared array/random/rand/Float32	785500 ns	898812.5 ns	0.87
shared array/copyto!/gpu_to_gpu	636208 ns	659667 ns	0.96
shared array/copyto!/cpu_to_gpu	91875 ns	94458 ns	0.97
shared array/copyto!/gpu_to_cpu	83000 ns	84333 ns	0.98
shared array/accumulate/1d	1435333 ns	1418250 ns	1.01
shared array/accumulate/2d	1474417 ns	1500167 ns	0.98
shared array/iteration/findall/int	1962084 ns	1939666 ns	1.01
shared array/iteration/findall/bool	1775916 ns	1746333 ns	1.02
shared array/iteration/findfirst/int	1414125 ns	1413458 ns	1.00
shared array/iteration/findfirst/bool	1381500 ns	1374750 ns	1.00
shared array/iteration/scalar	188166 ns	189167 ns	0.99
shared array/iteration/logical	3196479 ns	3212770.5 ns	0.99
shared array/iteration/findmin/1d	1463000.5 ns	1481709 ns	0.99
shared array/iteration/findmin/2d	1376270.5 ns	1379250 ns	1.00
shared array/reductions/reduce/1d	660729.5 ns	659583 ns	1.00
shared array/reductions/reduce/2d	693917 ns	706354 ns	0.98
shared array/reductions/mapreduce/1d	685959 ns	620667 ns	1.11
shared array/reductions/mapreduce/2d	699375 ns	704958.5 ns	0.99
shared array/permutedims/4d	930562.5 ns	963438 ns	0.97
shared array/permutedims/2d	935938 ns	939020.5 ns	1.00
shared array/permutedims/3d	1020375 ns	1003520.5 ns	1.02
shared array/copy	801458 ns	880541 ns	0.91

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