[BugFix] Fix wheels and nightly

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$\color{#D29922}\textsf{\Large⚠\kern{0.2cm}\normalsize Warning}$ Result of CPU Benchmark Tests

Total Benchmarks: 47. Improved: $\large\color{#35bf28}2$. Worsened: $\large\color{#d91a1a}3$.

Expand to view detailed results

Name	Max	Mean	Ops	Ops on Repo HEAD	Change
test_common_ops	1.1006ms	1.0422ms	959.5374 Ops/s	971.9139 Ops/s	$\color{#d91a1a}-1.27\%$
test_creation	4.7050μs	4.3962μs	227.4692 KOps/s	224.8979 KOps/s	$\color{#35bf28}+1.14\%$
test_creation_empty	12.0489μs	11.6145μs	86.0991 KOps/s	86.6199 KOps/s	$\color{#d91a1a}-0.60\%$
test_creation_nested_1	21.8859μs	20.9169μs	47.8081 KOps/s	48.0940 KOps/s	$\color{#d91a1a}-0.59\%$
test_creation_nested_2	22.4478μs	21.7610μs	45.9539 KOps/s	45.8055 KOps/s	$\color{#35bf28}+0.32\%$
test_clone	28.9318μs	28.0150μs	35.6952 KOps/s	36.7856 KOps/s	$\color{#d91a1a}-2.96\%$
test_getitem[int]	33.3813μs	32.8936μs	30.4010 KOps/s	30.1764 KOps/s	$\color{#35bf28}+0.74\%$
test_getitem[slice_int]	69.5334μs	68.8901μs	14.5159 KOps/s	14.3874 KOps/s	$\color{#35bf28}+0.89\%$
test_getitem[range]	68.3231μs	67.7330μs	14.7639 KOps/s	14.6930 KOps/s	$\color{#35bf28}+0.48\%$
test_getitem[tuple]	64.4379μs	63.8618μs	15.6588 KOps/s	15.1613 KOps/s	$\color{#35bf28}+3.28\%$
test_getitem[list]	67.1831μs	58.4466μs	17.1096 KOps/s	17.1215 KOps/s	$\color{#d91a1a}-0.07\%$
test_setitem_dim[int]	79.3990μs	48.0078μs	20.8299 KOps/s	21.0998 KOps/s	$\color{#d91a1a}-1.28\%$
test_setitem_dim[slice_int]	0.1315ms	86.9329μs	11.5031 KOps/s	11.5559 KOps/s	$\color{#d91a1a}-0.46\%$
test_setitem_dim[range]	0.1337ms	79.8956μs	12.5163 KOps/s	12.6913 KOps/s	$\color{#d91a1a}-1.38\%$
test_setitem_dim[tuple]	0.1230ms	80.7735μs	12.3803 KOps/s	12.5885 KOps/s	$\color{#d91a1a}-1.65\%$
test_setitem	44.0116μs	38.0145μs	26.3058 KOps/s	30.9089 KOps/s	$\textbf{\color{#d91a1a}-14.89\%}$
test_set	33.7997μs	32.7439μs	30.5401 KOps/s	31.5319 KOps/s	$\color{#d91a1a}-3.15\%$
test_set_shared	0.1468ms	0.1446ms	6.9163 KOps/s	6.9919 KOps/s	$\color{#d91a1a}-1.08\%$
test_update	38.5896μs	36.5291μs	27.3754 KOps/s	28.4678 KOps/s	$\color{#d91a1a}-3.84\%$
test_update_nested	56.4434μs	55.7665μs	17.9319 KOps/s	18.3225 KOps/s	$\color{#d91a1a}-2.13\%$
test_set_nested	44.1516μs	43.0392μs	23.2346 KOps/s	23.7076 KOps/s	$\color{#d91a1a}-2.00\%$
test_set_nested_new	66.5613μs	60.9072μs	16.4184 KOps/s	16.6288 KOps/s	$\color{#d91a1a}-1.27\%$
test_select	0.1035ms	0.1007ms	9.9298 KOps/s	9.9902 KOps/s	$\color{#d91a1a}-0.60\%$
test_creation[device0]	1.0854ms	0.4210ms	2.3754 KOps/s	2.0844 KOps/s	$\textbf{\color{#35bf28}+13.97\%}$
test_creation_from_tensor	0.5355ms	0.3944ms	2.5353 KOps/s	2.5060 KOps/s	$\color{#35bf28}+1.17\%$
test_add_one[memmap_tensor0]	45.2145μs	30.3809μs	32.9155 KOps/s	33.2176 KOps/s	$\color{#d91a1a}-0.91\%$
test_contiguous[memmap_tensor0]	9.0379μs	8.1957μs	122.0150 KOps/s	122.1975 KOps/s	$\color{#d91a1a}-0.15\%$
test_stack[memmap_tensor0]	0.1460ms	38.4897μs	25.9810 KOps/s	25.8735 KOps/s	$\color{#35bf28}+0.42\%$
test_reshape_pytree	38.3176μs	35.8254μs	27.9132 KOps/s	28.0893 KOps/s	$\color{#d91a1a}-0.63\%$
test_reshape_td	52.5995μs	50.2152μs	19.9143 KOps/s	20.1785 KOps/s	$\color{#d91a1a}-1.31\%$
test_view_pytree	33.8297μs	33.0747μs	30.2346 KOps/s	30.2845 KOps/s	$\color{#d91a1a}-0.17\%$
test_view_td	9.9319μs	9.2232μs	108.4217 KOps/s	108.3199 KOps/s	$\color{#35bf28}+0.09\%$
test_unbind_pytree	39.1776μs	37.8650μs	26.4096 KOps/s	26.4683 KOps/s	$\color{#d91a1a}-0.22\%$
test_unbind_td	0.1548ms	0.1517ms	6.5938 KOps/s	6.6076 KOps/s	$\color{#d91a1a}-0.21\%$
test_split_pytree	44.0756μs	42.1673μs	23.7150 KOps/s	23.8842 KOps/s	$\color{#d91a1a}-0.71\%$
test_split_td	0.1208ms	0.1190ms	8.4036 KOps/s	8.5111 KOps/s	$\color{#d91a1a}-1.26\%$
test_add_pytree	46.9255μs	45.1031μs	22.1714 KOps/s	22.2400 KOps/s	$\color{#d91a1a}-0.31\%$
test_add_td	64.6834μs	62.9328μs	15.8900 KOps/s	16.1521 KOps/s	$\color{#d91a1a}-1.62\%$
test_distributed	62.5000μs	62.5000μs	16.0000 KOps/s	13.2275 KOps/s	$\textbf{\color{#35bf28}+20.96\%}$
test_tdmodule	53.0000μs	24.8249μs	40.2821 KOps/s	40.5297 KOps/s	$\color{#d91a1a}-0.61\%$
test_tdmodule_dispatch	40.3461ms	56.0045μs	17.8557 KOps/s	19.2983 KOps/s	$\textbf{\color{#d91a1a}-7.48\%}$
test_tdseq	0.1776ms	30.9624μs	32.2973 KOps/s	32.0573 KOps/s	$\color{#35bf28}+0.75\%$
test_tdseq_dispatch	0.1350ms	54.3816μs	18.3886 KOps/s	18.3795 KOps/s	$\color{#35bf28}+0.05\%$
test_instantiation_functorch	1.6616ms	1.5498ms	645.2248 Ops/s	656.6310 Ops/s	$\color{#d91a1a}-1.74\%$
test_instantiation_td	6.4080ms	1.2275ms	814.6527 Ops/s	864.0172 Ops/s	$\textbf{\color{#d91a1a}-5.71\%}$
test_exec_functorch	0.1838ms	0.1783ms	5.6090 KOps/s	5.6159 KOps/s	$\color{#d91a1a}-0.12\%$
test_exec_td	0.3071ms	0.3038ms	3.2912 KOps/s	3.2916 KOps/s	$\color{#d91a1a}-0.01\%$

[github-actions]

$\color{#D29922}\textsf{\Large⚠\kern{0.2cm}\normalsize Warning}$ Result of GPU Benchmark Tests

Total Benchmarks: 47. Improved: $\large\color{#35bf28}2$. Worsened: $\large\color{#d91a1a}23$.

Expand to view detailed results

Name	Max	Mean	Ops	Ops on Repo HEAD	Change
test_common_ops	1.6317ms	1.4989ms	667.1408 Ops/s	689.9962 Ops/s	$\color{#d91a1a}-3.31\%$
test_creation	9.5460μs	4.2850μs	233.3701 KOps/s	253.7007 KOps/s	$\textbf{\color{#d91a1a}-8.01\%}$
test_creation_empty	27.4621μs	12.0698μs	82.8517 KOps/s	76.4110 KOps/s	$\textbf{\color{#35bf28}+8.43\%}$
test_creation_nested_1	42.9692μs	23.4593μs	42.6271 KOps/s	41.6122 KOps/s	$\color{#35bf28}+2.44\%$
test_creation_nested_2	40.6252μs	24.1917μs	41.3365 KOps/s	41.5782 KOps/s	$\color{#d91a1a}-0.58\%$
test_clone	52.2362μs	32.1302μs	31.1233 KOps/s	32.2741 KOps/s	$\color{#d91a1a}-3.57\%$
test_getitem[int]	61.8304μs	39.2997μs	25.4455 KOps/s	25.3485 KOps/s	$\color{#35bf28}+0.38\%$
test_getitem[slice_int]	0.1091ms	85.7473μs	11.6622 KOps/s	11.9790 KOps/s	$\color{#d91a1a}-2.64\%$
test_getitem[range]	0.1529ms	0.1081ms	9.2478 KOps/s	9.7734 KOps/s	$\textbf{\color{#d91a1a}-5.38\%}$
test_getitem[tuple]	97.4998μs	77.2036μs	12.9528 KOps/s	14.0751 KOps/s	$\textbf{\color{#d91a1a}-7.97\%}$
test_getitem[list]	0.1241ms	95.7006μs	10.4493 KOps/s	11.4791 KOps/s	$\textbf{\color{#d91a1a}-8.97\%}$
test_setitem_dim[int]	1.8965ms	65.2326μs	15.3298 KOps/s	16.0902 KOps/s	$\color{#d91a1a}-4.73\%$
test_setitem_dim[slice_int]	9.6385ms	0.1234ms	8.1009 KOps/s	8.8228 KOps/s	$\textbf{\color{#d91a1a}-8.18\%}$
test_setitem_dim[range]	3.4397ms	0.1311ms	7.6267 KOps/s	8.3903 KOps/s	$\textbf{\color{#d91a1a}-9.10\%}$
test_setitem_dim[tuple]	7.6708ms	0.1050ms	9.5226 KOps/s	9.9501 KOps/s	$\color{#d91a1a}-4.30\%$
test_setitem	73.2392μs	41.9898μs	23.8153 KOps/s	26.0348 KOps/s	$\textbf{\color{#d91a1a}-8.53\%}$
test_set	68.3472μs	40.0043μs	24.9973 KOps/s	27.1535 KOps/s	$\textbf{\color{#d91a1a}-7.94\%}$
test_set_shared	0.3347ms	0.2782ms	3.5942 KOps/s	3.4351 KOps/s	$\color{#35bf28}+4.63\%$
test_update	89.5963μs	43.9588μs	22.7486 KOps/s	25.7463 KOps/s	$\textbf{\color{#d91a1a}-11.64\%}$
test_update_nested	83.3782μs	61.9012μs	16.1548 KOps/s	16.2276 KOps/s	$\color{#d91a1a}-0.45\%$
test_set_nested	80.0493μs	53.7415μs	18.6076 KOps/s	19.6578 KOps/s	$\textbf{\color{#d91a1a}-5.34\%}$
test_set_nested_new	0.1002ms	70.3345μs	14.2178 KOps/s	14.9667 KOps/s	$\textbf{\color{#d91a1a}-5.00\%}$
test_select	0.1835ms	0.1160ms	8.6235 KOps/s	8.9505 KOps/s	$\color{#d91a1a}-3.65\%$
test_creation[device0]	1.4591ms	0.6224ms	1.6066 KOps/s	1.5526 KOps/s	$\color{#35bf28}+3.48\%$
test_creation_from_tensor	0.8454ms	0.6266ms	1.5960 KOps/s	1.6857 KOps/s	$\textbf{\color{#d91a1a}-5.32\%}$
test_add_one[memmap_tensor0]	88.6553μs	61.2212μs	16.3342 KOps/s	17.2464 KOps/s	$\textbf{\color{#d91a1a}-5.29\%}$
test_contiguous[memmap_tensor0]	27.0832μs	12.3093μs	81.2397 KOps/s	82.2846 KOps/s	$\color{#d91a1a}-1.27\%$
test_stack[memmap_tensor0]	0.2369ms	84.1705μs	11.8806 KOps/s	9.7761 KOps/s	$\textbf{\color{#35bf28}+21.53\%}$
test_reshape_pytree	64.3355μs	37.8004μs	26.4548 KOps/s	26.7927 KOps/s	$\color{#d91a1a}-1.26\%$
test_reshape_td	0.1076ms	57.9068μs	17.2691 KOps/s	17.9814 KOps/s	$\color{#d91a1a}-3.96\%$
test_view_pytree	59.5004μs	33.8818μs	29.5144 KOps/s	29.6972 KOps/s	$\color{#d91a1a}-0.62\%$
test_view_td	28.2732μs	8.8716μs	112.7196 KOps/s	108.5681 KOps/s	$\color{#35bf28}+3.82\%$
test_unbind_pytree	58.2534μs	38.8440μs	25.7440 KOps/s	25.1366 KOps/s	$\color{#35bf28}+2.42\%$
test_unbind_td	0.2871ms	0.1879ms	5.3219 KOps/s	5.3992 KOps/s	$\color{#d91a1a}-1.43\%$
test_split_pytree	75.1266μs	47.3278μs	21.1292 KOps/s	22.5276 KOps/s	$\textbf{\color{#d91a1a}-6.21\%}$
test_split_td	0.1933ms	0.1492ms	6.7026 KOps/s	7.2206 KOps/s	$\textbf{\color{#d91a1a}-7.17\%}$
test_add_pytree	0.1298ms	61.2326μs	16.3312 KOps/s	17.3384 KOps/s	$\textbf{\color{#d91a1a}-5.81\%}$
test_add_td	0.2000ms	0.1006ms	9.9406 KOps/s	10.8604 KOps/s	$\textbf{\color{#d91a1a}-8.47\%}$
test_distributed	0.1022ms	0.1022ms	9.7847 KOps/s	9.8716 KOps/s	$\color{#d91a1a}-0.88\%$
test_tdmodule	1.3460ms	39.2663μs	25.4671 KOps/s	29.3432 KOps/s	$\textbf{\color{#d91a1a}-13.21\%}$
test_tdmodule_dispatch	3.5422ms	84.7081μs	11.8053 KOps/s	13.8020 KOps/s	$\textbf{\color{#d91a1a}-14.47\%}$
test_tdseq	1.9049ms	49.8520μs	20.0594 KOps/s	22.5121 KOps/s	$\textbf{\color{#d91a1a}-10.89\%}$
test_tdseq_dispatch	2.2544ms	94.0577μs	10.6318 KOps/s	11.7990 KOps/s	$\textbf{\color{#d91a1a}-9.89\%}$
test_instantiation_functorch	2.2505ms	1.8365ms	544.5035 Ops/s	566.3427 Ops/s	$\color{#d91a1a}-3.86\%$
test_instantiation_td	2.2254ms	1.4715ms	679.5648 Ops/s	735.0577 Ops/s	$\textbf{\color{#d91a1a}-7.55\%}$
test_exec_functorch	0.3501ms	0.2662ms	3.7569 KOps/s	3.9733 KOps/s	$\textbf{\color{#d91a1a}-5.45\%}$
test_exec_td	0.5202ms	0.4312ms	2.3191 KOps/s	2.3656 KOps/s	$\color{#d91a1a}-1.97\%$