feat: ensure size of value in setproperty is same as original shape

[avik-pal]

No description provided.

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Reactant.jl Benchmarks

Benchmark suite	Current: f893df2	Previous: deefd18	Ratio
ViT base (256 x 256 x 3 x 32)/forward/CUDA/Reactant	1306561429 ns	1354313354 ns	0.96
ViT base (256 x 256 x 3 x 32)/forward/CUDA/Lux	213416006 ns	208305734 ns	1.02
ViT base (256 x 256 x 3 x 32)/forward/CPU/Reactant	6931763831 ns	5150619393 ns	1.35
ViT base (256 x 256 x 3 x 32)/forward/CPU/Lux	17490173184 ns	19034043181 ns	0.92
ViT small (256 x 256 x 3 x 4)/forward/CUDA/Reactant	1246646310.5 ns	1337880973 ns	0.93
ViT small (256 x 256 x 3 x 4)/forward/CUDA/Lux	8460235 ns	9140912.5 ns	0.93
ViT small (256 x 256 x 3 x 4)/forward/CPU/Reactant	1675295978 ns	1693455123 ns	0.99
ViT small (256 x 256 x 3 x 4)/forward/CPU/Lux	2521781598 ns	2263974104 ns	1.11
ViT tiny (256 x 256 x 3 x 32)/forward/CUDA/Reactant	1269767952.5 ns	1332284786.5 ns	0.95
ViT tiny (256 x 256 x 3 x 32)/forward/CUDA/Lux	87409691 ns	86734383.5 ns	1.01
ViT tiny (256 x 256 x 3 x 32)/forward/CPU/Reactant	2280190510 ns	2287781106 ns	1.00
ViT tiny (256 x 256 x 3 x 32)/forward/CPU/Lux	4645118034 ns	6118937863 ns	0.76
ViT tiny (256 x 256 x 3 x 4)/forward/CUDA/Reactant	1276716567 ns	1274319613 ns	1.00
ViT tiny (256 x 256 x 3 x 4)/forward/CUDA/Lux	7637342 ns	7577830 ns	1.01
ViT tiny (256 x 256 x 3 x 4)/forward/CPU/Reactant	1510690537 ns	1512493678 ns	1.00
ViT tiny (256 x 256 x 3 x 4)/forward/CPU/Lux	1340018711 ns	1456174515 ns	0.92
ViT tiny (256 x 256 x 3 x 16)/forward/CUDA/Reactant	1323229326.5 ns	1263335461 ns	1.05
ViT tiny (256 x 256 x 3 x 16)/forward/CUDA/Lux	11596388.5 ns	11439682 ns	1.01
ViT tiny (256 x 256 x 3 x 16)/forward/CPU/Reactant	1800478449 ns	1805020552 ns	1.00
ViT tiny (256 x 256 x 3 x 16)/forward/CPU/Lux	2783250001 ns	2506386037 ns	1.11
ViT small (256 x 256 x 3 x 16)/forward/CUDA/Reactant	1296581712 ns	1307096998 ns	0.99
ViT small (256 x 256 x 3 x 16)/forward/CUDA/Lux	95258089 ns	87573137 ns	1.09
ViT small (256 x 256 x 3 x 16)/forward/CPU/Reactant	2268870487 ns	2278669956 ns	1.00
ViT small (256 x 256 x 3 x 16)/forward/CPU/Lux	3997383112 ns	3700585497 ns	1.08
ViT small (256 x 256 x 3 x 32)/forward/CUDA/Reactant	1312074673.5 ns	1310298018 ns	1.00
ViT small (256 x 256 x 3 x 32)/forward/CUDA/Lux	116467429.5 ns	109805738 ns	1.06
ViT small (256 x 256 x 3 x 32)/forward/CPU/Reactant	3088491410 ns	3158445388 ns	0.98
ViT small (256 x 256 x 3 x 32)/forward/CPU/Lux	11196658303 ns	14341152106 ns	0.78
ViT base (256 x 256 x 3 x 16)/forward/CUDA/Reactant	1344423772 ns	1384173668 ns	0.97
ViT base (256 x 256 x 3 x 16)/forward/CUDA/Lux	132933129 ns	125016343 ns	1.06
ViT base (256 x 256 x 3 x 16)/forward/CPU/Reactant	3308979469 ns	3254191833 ns	1.02
ViT base (256 x 256 x 3 x 16)/forward/CPU/Lux	6507271413 ns	6513914428 ns	1.00
ViT base (256 x 256 x 3 x 4)/forward/CUDA/Reactant	1304485316.5 ns	1339992292 ns	0.97
ViT base (256 x 256 x 3 x 4)/forward/CUDA/Lux	87668820.5 ns	81713817 ns	1.07
ViT base (256 x 256 x 3 x 4)/forward/CPU/Reactant	2057165270 ns	1963454757 ns	1.05
ViT base (256 x 256 x 3 x 4)/forward/CPU/Lux	2481863016 ns	2503177627 ns	0.99

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

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Benchmark Results

	main	f893df2...	main/f893df2ed8a43e...
comptime/basics/2D sum	27 ± 1.1 ms	27.4 ± 1.2 ms	0.983
comptime/basics/Basic grad cos	0.0464 ± 0.00089 s	0.0453 ± 0.00087 s	1.02
comptime/basics/cos.(x)	0.0321 ± 0.0012 s	0.032 ± 0.0014 s	1
comptime/lux neural networks/ViT base	5.68 s	5.72 s	0.992
comptime/lux neural networks/ViT tiny	5.72 s	5.72 s	1
comptime/lux neural networks/vgg11 bn=false	0.387 ± 0.013 s	0.384 ± 0.015 s	1.01
comptime/lux neural networks/vgg13 bn=false	0.441 ± 0.01 s	0.445 ± 0.016 s	0.993
comptime/lux neural networks/vgg16 bn=false	0.546 ± 0.0065 s	0.524 ± 0.029 s	1.04
comptime/lux neural networks/vgg19 bn=false	0.589 ± 0.0089 s	0.597 ± 0.0065 s	0.986
runtime/lux neural networks/ViT base (compiled)	6.42 s	6.39 s	1
runtime/lux neural networks/ViT tiny (compiled)	1.76 s	1.68 s	1.05
runtime/lux neural networks/vgg11 bn=false (compiled)	2.11 s	2.12 s	0.996
runtime/lux neural networks/vgg13 bn=false (compiled)	3 s	3.02 s	0.995
runtime/lux neural networks/vgg16 bn=false (compiled)	3.75 s	3.76 s	0.995
runtime/lux neural networks/vgg19 bn=false (compiled)	4.59 s	4.59 s	1
time_to_load	1.48 ± 0.0055 s	1.5 ± 0.016 s	0.986

Benchmark Plots

A plot of the benchmark results have been uploaded as an artifact to the workflow run for this PR.
Go to "Actions"->"Benchmark a pull request"->[the most recent run]->"Artifacts" (at the bottom).