[Minor] Better errors for kwargs and key selection

[vmoens]

No description provided.

[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: $\large\color{#d91a1a}6$.

Expand to view detailed results

Name	Max	Mean	Ops	Ops on Repo HEAD	Change
test_common_ops	1.3395ms	1.0990ms	909.9150 Ops/s	950.4322 Ops/s	$\color{#d91a1a}-4.26\%$
test_creation	15.8397μs	4.9102μs	203.6584 KOps/s	269.1241 KOps/s	$\textbf{\color{#d91a1a}-24.33\%}$
test_creation_empty	29.2773μs	11.7160μs	85.3532 KOps/s	98.3258 KOps/s	$\textbf{\color{#d91a1a}-13.19\%}$
test_creation_nested_1	53.6193μs	23.1861μs	43.1293 KOps/s	52.7408 KOps/s	$\textbf{\color{#d91a1a}-18.22\%}$
test_creation_nested_2	49.3021μs	22.7388μs	43.9777 KOps/s	49.5849 KOps/s	$\textbf{\color{#d91a1a}-11.31\%}$
test_clone	53.1703μs	27.4723μs	36.4003 KOps/s	41.1343 KOps/s	$\textbf{\color{#d91a1a}-11.51\%}$
test_getitem[int]	34.3825μs	29.6961μs	33.6744 KOps/s	33.3094 KOps/s	$\color{#35bf28}+1.10\%$
test_getitem[slice_int]	67.0090μs	63.2096μs	15.8204 KOps/s	15.9108 KOps/s	$\color{#d91a1a}-0.57\%$
test_getitem[range]	74.5567μs	68.8146μs	14.5318 KOps/s	15.1221 KOps/s	$\color{#d91a1a}-3.90\%$
test_getitem[tuple]	64.9562μs	59.1603μs	16.9032 KOps/s	17.2011 KOps/s	$\color{#d91a1a}-1.73\%$
test_getitem[list]	64.7872μs	59.6905μs	16.7531 KOps/s	16.6271 KOps/s	$\color{#35bf28}+0.76\%$
test_setitem_dim[int]	95.1010μs	46.2331μs	21.6295 KOps/s	22.2471 KOps/s	$\color{#d91a1a}-2.78\%$
test_setitem_dim[slice_int]	0.1442ms	83.4505μs	11.9831 KOps/s	12.1897 KOps/s	$\color{#d91a1a}-1.69\%$
test_setitem_dim[range]	0.1778ms	81.5292μs	12.2655 KOps/s	12.4766 KOps/s	$\color{#d91a1a}-1.69\%$
test_setitem_dim[tuple]	0.1385ms	74.5956μs	13.4056 KOps/s	13.6224 KOps/s	$\color{#d91a1a}-1.59\%$
test_setitem	32.7225μs	30.5414μs	32.7424 KOps/s	33.9312 KOps/s	$\color{#d91a1a}-3.50\%$
test_set	32.6825μs	29.6165μs	33.7649 KOps/s	33.7240 KOps/s	$\color{#35bf28}+0.12\%$
test_set_shared	0.1840ms	0.1766ms	5.6629 KOps/s	5.6876 KOps/s	$\color{#d91a1a}-0.43\%$
test_update	34.8925μs	32.3471μs	30.9147 KOps/s	31.2800 KOps/s	$\color{#d91a1a}-1.17\%$
test_update_nested	50.0527μs	47.8462μs	20.9003 KOps/s	21.1702 KOps/s	$\color{#d91a1a}-1.28\%$
test_set_nested	41.4126μs	39.2004μs	25.5100 KOps/s	25.6398 KOps/s	$\color{#d91a1a}-0.51\%$
test_set_nested_new	56.4268μs	54.1094μs	18.4811 KOps/s	18.5145 KOps/s	$\color{#d91a1a}-0.18\%$
test_select	98.6764μs	88.2036μs	11.3374 KOps/s	11.2290 KOps/s	$\color{#35bf28}+0.97\%$
test_creation[device0]	1.3692ms	0.5811ms	1.7207 KOps/s	1.5331 KOps/s	$\textbf{\color{#35bf28}+12.24\%}$
test_creation_from_tensor	0.6877ms	0.5614ms	1.7813 KOps/s	1.7448 KOps/s	$\color{#35bf28}+2.10\%$
test_add_one[memmap_tensor0]	36.1305μs	32.7416μs	30.5422 KOps/s	29.2402 KOps/s	$\color{#35bf28}+4.45\%$
test_contiguous[memmap_tensor0]	9.6521μs	9.0058μs	111.0396 KOps/s	109.6314 KOps/s	$\color{#35bf28}+1.28\%$
test_stack[memmap_tensor0]	0.2516ms	55.3909μs	18.0535 KOps/s	18.8145 KOps/s	$\color{#d91a1a}-4.04\%$
test_reshape_pytree	36.7495μs	33.4461μs	29.8989 KOps/s	30.2674 KOps/s	$\color{#d91a1a}-1.22\%$
test_reshape_td	47.8887μs	46.6739μs	21.4252 KOps/s	21.5472 KOps/s	$\color{#d91a1a}-0.57\%$
test_view_pytree	31.9355μs	30.5762μs	32.7052 KOps/s	33.0569 KOps/s	$\color{#d91a1a}-1.06\%$
test_view_td	9.1461μs	8.0831μs	123.7153 KOps/s	123.1088 KOps/s	$\color{#35bf28}+0.49\%$
test_unbind_pytree	37.2946μs	35.8758μs	27.8739 KOps/s	28.7311 KOps/s	$\color{#d91a1a}-2.98\%$
test_unbind_td	0.1458ms	0.1400ms	7.1419 KOps/s	7.1249 KOps/s	$\color{#35bf28}+0.24\%$
test_split_pytree	41.7055μs	38.4492μs	26.0083 KOps/s	25.4779 KOps/s	$\color{#35bf28}+2.08\%$
test_split_td	0.1129ms	0.1096ms	9.1221 KOps/s	9.0637 KOps/s	$\color{#35bf28}+0.64\%$
test_add_pytree	45.8585μs	43.5554μs	22.9592 KOps/s	24.1309 KOps/s	$\color{#d91a1a}-4.86\%$
test_add_td	62.6337μs	59.2441μs	16.8793 KOps/s	16.9724 KOps/s	$\color{#d91a1a}-0.55\%$
test_distributed	74.1010μs	74.1010μs	13.4951 KOps/s	10.0805 KOps/s	$\textbf{\color{#35bf28}+33.87\%}$
test_tdmodule	0.1448ms	26.0386μs	38.4045 KOps/s	40.2131 KOps/s	$\color{#d91a1a}-4.50\%$
test_tdmodule_dispatch	0.2604ms	55.9947μs	17.8588 KOps/s	18.1761 KOps/s	$\color{#d91a1a}-1.75\%$
test_tdseq	0.1043ms	35.2387μs	28.3779 KOps/s	28.5098 KOps/s	$\color{#d91a1a}-0.46\%$
test_tdseq_dispatch	0.1289ms	65.7914μs	15.1996 KOps/s	15.0998 KOps/s	$\color{#35bf28}+0.66\%$
test_instantiation_functorch	1.6082ms	1.4989ms	667.1651 Ops/s	675.5692 Ops/s	$\color{#d91a1a}-1.24\%$
test_instantiation_td	1.9226ms	1.2428ms	804.6252 Ops/s	869.7826 Ops/s	$\textbf{\color{#d91a1a}-7.49\%}$
test_exec_functorch	0.2419ms	0.1884ms	5.3068 KOps/s	5.3874 KOps/s	$\color{#d91a1a}-1.50\%$
test_exec_td	0.3106ms	0.2976ms	3.3602 KOps/s	3.2941 KOps/s	$\color{#35bf28}+2.00\%$

[github-actions]

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

Total Benchmarks: 47. Improved: $\large\color{#35bf28}2$. Worsened: $\large\color{#d91a1a}22$.

Expand to view detailed results

Name	Max	Mean	Ops	Ops on Repo HEAD	Change
test_common_ops	2.0899ms	1.7538ms	570.1943 Ops/s	579.8493 Ops/s	$\color{#d91a1a}-1.67\%$
test_creation	11.0772μs	5.5179μs	181.2278 KOps/s	191.8267 KOps/s	$\textbf{\color{#d91a1a}-5.53\%}$
test_creation_empty	70.6280μs	15.8606μs	63.0492 KOps/s	68.5400 KOps/s	$\textbf{\color{#d91a1a}-8.01\%}$
test_creation_nested_1	47.3797μs	29.7653μs	33.5962 KOps/s	36.4032 KOps/s	$\textbf{\color{#d91a1a}-7.71\%}$
test_creation_nested_2	71.5410μs	31.6344μs	31.6112 KOps/s	35.0193 KOps/s	$\textbf{\color{#d91a1a}-9.73\%}$
test_clone	56.9305μs	40.8639μs	24.4715 KOps/s	24.4943 KOps/s	$\color{#d91a1a}-0.09\%$
test_getitem[int]	67.2303μs	49.3044μs	20.2822 KOps/s	20.6609 KOps/s	$\color{#d91a1a}-1.83\%$
test_getitem[slice_int]	0.1332ms	0.1088ms	9.1902 KOps/s	8.8726 KOps/s	$\color{#35bf28}+3.58\%$
test_getitem[range]	0.2189ms	0.1276ms	7.8368 KOps/s	8.1540 KOps/s	$\color{#d91a1a}-3.89\%$
test_getitem[tuple]	0.1135ms	95.5063μs	10.4705 KOps/s	9.0214 KOps/s	$\textbf{\color{#35bf28}+16.06\%}$
test_getitem[list]	0.1624ms	0.1116ms	8.9586 KOps/s	9.4402 KOps/s	$\textbf{\color{#d91a1a}-5.10\%}$
test_setitem_dim[int]	5.7767ms	80.9272μs	12.3568 KOps/s	12.6561 KOps/s	$\color{#d91a1a}-2.37\%$
test_setitem_dim[slice_int]	2.8331ms	0.1502ms	6.6594 KOps/s	6.9186 KOps/s	$\color{#d91a1a}-3.75\%$
test_setitem_dim[range]	2.7205ms	0.1478ms	6.7649 KOps/s	7.2006 KOps/s	$\textbf{\color{#d91a1a}-6.05\%}$
test_setitem_dim[tuple]	4.6468ms	0.1299ms	7.6953 KOps/s	7.7733 KOps/s	$\color{#d91a1a}-1.00\%$
test_setitem	0.1167ms	54.7840μs	18.2535 KOps/s	18.2028 KOps/s	$\color{#35bf28}+0.28\%$
test_set	98.5318μs	54.9264μs	18.2062 KOps/s	18.0694 KOps/s	$\color{#35bf28}+0.76\%$
test_set_shared	0.3576ms	0.2979ms	3.3566 KOps/s	3.3701 KOps/s	$\color{#d91a1a}-0.40\%$
test_update	75.7377μs	54.7617μs	18.2609 KOps/s	17.9944 KOps/s	$\color{#35bf28}+1.48\%$
test_update_nested	0.1758ms	85.6798μs	11.6714 KOps/s	12.5277 KOps/s	$\textbf{\color{#d91a1a}-6.84\%}$
test_set_nested	0.1364ms	72.7233μs	13.7508 KOps/s	13.7082 KOps/s	$\color{#35bf28}+0.31\%$
test_set_nested_new	0.1461ms	97.5464μs	10.2515 KOps/s	10.4784 KOps/s	$\color{#d91a1a}-2.16\%$
test_select	0.2068ms	0.1539ms	6.4970 KOps/s	6.7676 KOps/s	$\color{#d91a1a}-4.00\%$
test_creation[device0]	1.6154ms	0.6320ms	1.5822 KOps/s	1.5655 KOps/s	$\color{#35bf28}+1.07\%$
test_creation_from_tensor	0.7151ms	0.6010ms	1.6639 KOps/s	1.5320 KOps/s	$\textbf{\color{#35bf28}+8.61\%}$
test_add_one[memmap_tensor0]	0.1326ms	63.0154μs	15.8691 KOps/s	15.1893 KOps/s	$\color{#35bf28}+4.48\%$
test_contiguous[memmap_tensor0]	28.8593μs	13.0955μs	76.3621 KOps/s	82.7367 KOps/s	$\textbf{\color{#d91a1a}-7.70\%}$
test_stack[memmap_tensor0]	0.2423ms	75.0108μs	13.3314 KOps/s	14.1541 KOps/s	$\textbf{\color{#d91a1a}-5.81\%}$
test_reshape_pytree	0.1032ms	49.3075μs	20.2809 KOps/s	19.3239 KOps/s	$\color{#35bf28}+4.95\%$
test_reshape_td	0.1248ms	77.9437μs	12.8298 KOps/s	12.8869 KOps/s	$\color{#d91a1a}-0.44\%$
test_view_pytree	0.1099ms	46.9642μs	21.2928 KOps/s	21.2033 KOps/s	$\color{#35bf28}+0.42\%$
test_view_td	28.4523μs	12.2590μs	81.5726 KOps/s	86.9480 KOps/s	$\textbf{\color{#d91a1a}-6.18\%}$
test_unbind_pytree	96.6529μs	51.6014μs	19.3793 KOps/s	20.4832 KOps/s	$\textbf{\color{#d91a1a}-5.39\%}$
test_unbind_td	0.3686ms	0.2471ms	4.0462 KOps/s	4.3208 KOps/s	$\textbf{\color{#d91a1a}-6.35\%}$
test_split_pytree	92.4216μs	60.5259μs	16.5219 KOps/s	16.8444 KOps/s	$\color{#d91a1a}-1.91\%$
test_split_td	0.2536ms	0.1843ms	5.4253 KOps/s	5.4960 KOps/s	$\color{#d91a1a}-1.29\%$
test_add_pytree	0.1231ms	72.7681μs	13.7423 KOps/s	14.5817 KOps/s	$\textbf{\color{#d91a1a}-5.76\%}$
test_add_td	0.2087ms	0.1207ms	8.2879 KOps/s	8.5289 KOps/s	$\color{#d91a1a}-2.82\%$
test_distributed	96.6000μs	96.6000μs	10.3520 KOps/s	10.9527 KOps/s	$\textbf{\color{#d91a1a}-5.48\%}$
test_tdmodule	4.6187ms	45.4481μs	22.0031 KOps/s	24.9116 KOps/s	$\textbf{\color{#d91a1a}-11.68\%}$
test_tdmodule_dispatch	68.4219ms	99.7540μs	10.0247 KOps/s	11.3611 KOps/s	$\textbf{\color{#d91a1a}-11.76\%}$
test_tdseq	4.2291ms	59.6778μs	16.7567 KOps/s	18.9135 KOps/s	$\textbf{\color{#d91a1a}-11.40\%}$
test_tdseq_dispatch	2.1061ms	0.1059ms	9.4427 KOps/s	10.2005 KOps/s	$\textbf{\color{#d91a1a}-7.43\%}$
test_instantiation_functorch	3.4375ms	2.3677ms	422.3487 Ops/s	466.8743 Ops/s	$\textbf{\color{#d91a1a}-9.54\%}$
test_instantiation_td	9.5915ms	1.9049ms	524.9583 Ops/s	617.2378 Ops/s	$\textbf{\color{#d91a1a}-14.95\%}$
test_exec_functorch	0.3892ms	0.3064ms	3.2641 KOps/s	3.5406 KOps/s	$\textbf{\color{#d91a1a}-7.81\%}$
test_exec_td	0.6395ms	0.5258ms	1.9020 KOps/s	2.0478 KOps/s	$\textbf{\color{#d91a1a}-7.12\%}$