[Versioning] Allow any torch version for local builds

[vmoens]

Closing pytorch/rl#2124

[github-actions]

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

Total Benchmarks: 127. Improved: $\large\color{#35bf28}10$. Worsened: $\large\color{#d91a1a}15$.

Expand to view detailed results

Name	Max	Mean	Ops	Ops on Repo HEAD	Change
test_plain_set_nested	35.3860μs	17.5559μs	56.9609 KOps/s	57.5380 KOps/s	$\color{#d91a1a}-1.00\%$
test_plain_set_stack_nested	43.3310μs	17.5053μs	57.1257 KOps/s	57.1334 KOps/s	$\color{#d91a1a}-0.01\%$
test_plain_set_nested_inplace	64.8840μs	19.9954μs	50.0115 KOps/s	50.1690 KOps/s	$\color{#d91a1a}-0.31\%$
test_plain_set_stack_nested_inplace	62.6680μs	19.9133μs	50.2178 KOps/s	50.6054 KOps/s	$\color{#d91a1a}-0.77\%$
test_items	21.8810μs	2.5431μs	393.2182 KOps/s	391.0765 KOps/s	$\color{#35bf28}+0.55\%$
test_items_nested	1.0449ms	0.2647ms	3.7782 KOps/s	3.6443 KOps/s	$\color{#35bf28}+3.67\%$
test_items_nested_locked	0.4878ms	0.2638ms	3.7905 KOps/s	3.5546 KOps/s	$\textbf{\color{#35bf28}+6.64\%}$
test_items_nested_leaf	0.1564ms	76.5511μs	13.0632 KOps/s	12.8787 KOps/s	$\color{#35bf28}+1.43\%$
test_items_stack_nested	0.4931ms	0.2636ms	3.7942 KOps/s	3.6068 KOps/s	$\textbf{\color{#35bf28}+5.20\%}$
test_items_stack_nested_leaf	0.1869ms	80.9586μs	12.3520 KOps/s	12.3686 KOps/s	$\color{#d91a1a}-0.13\%$
test_items_stack_nested_locked	0.4984ms	0.2638ms	3.7902 KOps/s	3.5808 KOps/s	$\textbf{\color{#35bf28}+5.85\%}$
test_keys	27.1610μs	3.8859μs	257.3439 KOps/s	263.1797 KOps/s	$\color{#d91a1a}-2.22\%$
test_keys_nested	0.1868ms	0.1384ms	7.2241 KOps/s	6.9198 KOps/s	$\color{#35bf28}+4.40\%$
test_keys_nested_locked	1.8908ms	0.1447ms	6.9087 KOps/s	6.7713 KOps/s	$\color{#35bf28}+2.03\%$
test_keys_nested_leaf	0.1728ms	0.1187ms	8.4263 KOps/s	8.2925 KOps/s	$\color{#35bf28}+1.61\%$
test_keys_stack_nested	0.2469ms	0.1389ms	7.2017 KOps/s	7.0271 KOps/s	$\color{#35bf28}+2.49\%$
test_keys_stack_nested_leaf	0.1947ms	0.1187ms	8.4237 KOps/s	8.2329 KOps/s	$\color{#35bf28}+2.32\%$
test_keys_stack_nested_locked	0.2661ms	0.1435ms	6.9685 KOps/s	6.7967 KOps/s	$\color{#35bf28}+2.53\%$
test_values	10.3717μs	1.1914μs	839.3617 KOps/s	857.7249 KOps/s	$\color{#d91a1a}-2.14\%$
test_values_nested	93.6150μs	51.1345μs	19.5563 KOps/s	18.8874 KOps/s	$\color{#35bf28}+3.54\%$
test_values_nested_locked	0.1021ms	51.6156μs	19.3740 KOps/s	18.8520 KOps/s	$\color{#35bf28}+2.77\%$
test_values_nested_leaf	92.2960μs	45.9304μs	21.7721 KOps/s	21.0691 KOps/s	$\color{#35bf28}+3.34\%$
test_values_stack_nested	0.1014ms	51.6770μs	19.3510 KOps/s	18.6929 KOps/s	$\color{#35bf28}+3.52\%$
test_values_stack_nested_leaf	95.3590μs	45.9864μs	21.7455 KOps/s	21.1304 KOps/s	$\color{#35bf28}+2.91\%$
test_values_stack_nested_locked	0.1018ms	51.4391μs	19.4405 KOps/s	18.6289 KOps/s	$\color{#35bf28}+4.36\%$
test_membership	27.7620μs	1.3509μs	740.2264 KOps/s	753.3868 KOps/s	$\color{#d91a1a}-1.75\%$
test_membership_nested	37.2500μs	3.4823μs	287.1634 KOps/s	294.7402 KOps/s	$\color{#d91a1a}-2.57\%$
test_membership_nested_leaf	26.2690μs	3.4896μs	286.5645 KOps/s	291.3894 KOps/s	$\color{#d91a1a}-1.66\%$
test_membership_stacked_nested	37.4100μs	3.4638μs	288.6997 KOps/s	295.3525 KOps/s	$\color{#d91a1a}-2.25\%$
test_membership_stacked_nested_leaf	30.2670μs	3.4775μs	287.5608 KOps/s	296.2299 KOps/s	$\color{#d91a1a}-2.93\%$
test_membership_nested_last	29.6160μs	4.1924μs	238.5268 KOps/s	211.0784 KOps/s	$\textbf{\color{#35bf28}+13.00\%}$
test_membership_nested_leaf_last	42.5800μs	4.2716μs	234.1064 KOps/s	233.8688 KOps/s	$\color{#35bf28}+0.10\%$
test_membership_stacked_nested_last	29.1150μs	4.1976μs	238.2340 KOps/s	205.2481 KOps/s	$\textbf{\color{#35bf28}+16.07\%}$
test_membership_stacked_nested_leaf_last	19.1660μs	4.2160μs	237.1944 KOps/s	207.3990 KOps/s	$\textbf{\color{#35bf28}+14.37\%}$
test_nested_getleaf	41.7590μs	10.7759μs	92.7993 KOps/s	94.0015 KOps/s	$\color{#d91a1a}-1.28\%$
test_nested_get	33.7130μs	10.2082μs	97.9604 KOps/s	98.3236 KOps/s	$\color{#d91a1a}-0.37\%$
test_stacked_getleaf	50.5040μs	10.7949μs	92.6360 KOps/s	94.0149 KOps/s	$\color{#d91a1a}-1.47\%$
test_stacked_get	54.7430μs	10.1574μs	98.4508 KOps/s	99.2398 KOps/s	$\color{#d91a1a}-0.79\%$
test_nested_getitemleaf	34.9560μs	11.4094μs	87.6467 KOps/s	89.9559 KOps/s	$\color{#d91a1a}-2.57\%$
test_nested_getitem	47.4590μs	10.6165μs	94.1931 KOps/s	97.2993 KOps/s	$\color{#d91a1a}-3.19\%$
test_stacked_getitemleaf	50.6940μs	11.3602μs	88.0265 KOps/s	90.4618 KOps/s	$\color{#d91a1a}-2.69\%$
test_stacked_getitem	30.6170μs	10.5939μs	94.3936 KOps/s	98.1521 KOps/s	$\color{#d91a1a}-3.83\%$
test_lock_nested	46.9829ms	0.3941ms	2.5374 KOps/s	2.8311 KOps/s	$\textbf{\color{#d91a1a}-10.38\%}$
test_lock_stack_nested	0.5895ms	0.3111ms	3.2140 KOps/s	3.2146 KOps/s	$\color{#d91a1a}-0.02\%$
test_unlock_nested	0.6967ms	0.3480ms	2.8736 KOps/s	2.5078 KOps/s	$\textbf{\color{#35bf28}+14.59\%}$
test_unlock_stack_nested	0.4434ms	0.3179ms	3.1453 KOps/s	3.1445 KOps/s	$\color{#35bf28}+0.02\%$
test_flatten_speed	0.2045ms	96.8253μs	10.3279 KOps/s	10.3395 KOps/s	$\color{#d91a1a}-0.11\%$
test_unflatten_speed	0.7228ms	0.4095ms	2.4420 KOps/s	2.3767 KOps/s	$\color{#35bf28}+2.75\%$
test_common_ops	1.3597ms	0.7244ms	1.3804 KOps/s	1.4541 KOps/s	$\textbf{\color{#d91a1a}-5.07\%}$
test_creation	24.2460μs	1.9532μs	511.9917 KOps/s	517.0694 KOps/s	$\color{#d91a1a}-0.98\%$
test_creation_empty	59.5710μs	11.4381μs	87.4271 KOps/s	102.3369 KOps/s	$\textbf{\color{#d91a1a}-14.57\%}$
test_creation_nested_1	37.5000μs	14.1026μs	70.9089 KOps/s	80.8220 KOps/s	$\textbf{\color{#d91a1a}-12.27\%}$
test_creation_nested_2	55.1230μs	17.5972μs	56.8271 KOps/s	63.2273 KOps/s	$\textbf{\color{#d91a1a}-10.12\%}$
test_clone	0.1044ms	13.6120μs	73.4647 KOps/s	74.7080 KOps/s	$\color{#d91a1a}-1.66\%$
test_getitem[int]	29.9760μs	11.6650μs	85.7268 KOps/s	87.4367 KOps/s	$\color{#d91a1a}-1.96\%$
test_getitem[slice_int]	81.1220μs	23.0460μs	43.3915 KOps/s	43.7986 KOps/s	$\color{#d91a1a}-0.93\%$
test_getitem[range]	81.0110μs	59.2528μs	16.8768 KOps/s	16.8478 KOps/s	$\color{#35bf28}+0.17\%$
test_getitem[tuple]	47.1780μs	19.2171μs	52.0369 KOps/s	52.9815 KOps/s	$\color{#d91a1a}-1.78\%$
test_getitem[list]	0.1071ms	41.1842μs	24.2812 KOps/s	24.2935 KOps/s	$\color{#d91a1a}-0.05\%$
test_setitem_dim[int]	79.4280μs	35.5773μs	28.1078 KOps/s	29.4842 KOps/s	$\color{#d91a1a}-4.67\%$
test_setitem_dim[slice_int]	0.1303ms	62.5643μs	15.9835 KOps/s	16.7790 KOps/s	$\color{#d91a1a}-4.74\%$
test_setitem_dim[range]	0.1420ms	84.5494μs	11.8274 KOps/s	11.8690 KOps/s	$\color{#d91a1a}-0.35\%$
test_setitem_dim[tuple]	0.1224ms	51.4592μs	19.4329 KOps/s	20.8153 KOps/s	$\textbf{\color{#d91a1a}-6.64\%}$
test_setitem	54.6320μs	20.9772μs	47.6709 KOps/s	51.2153 KOps/s	$\textbf{\color{#d91a1a}-6.92\%}$
test_set	70.0010μs	20.4927μs	48.7979 KOps/s	52.6164 KOps/s	$\textbf{\color{#d91a1a}-7.26\%}$
test_set_shared	1.6824ms	0.1401ms	7.1354 KOps/s	7.0059 KOps/s	$\color{#35bf28}+1.85\%$
test_update	83.4060μs	22.8664μs	43.7323 KOps/s	48.5684 KOps/s	$\textbf{\color{#d91a1a}-9.96\%}$
test_update_nested	77.3850μs	31.1519μs	32.1007 KOps/s	34.4629 KOps/s	$\textbf{\color{#d91a1a}-6.85\%}$
test_update__nested	96.2900μs	25.4645μs	39.2703 KOps/s	39.9596 KOps/s	$\color{#d91a1a}-1.72\%$
test_set_nested	55.9750μs	22.3266μs	44.7897 KOps/s	48.4252 KOps/s	$\textbf{\color{#d91a1a}-7.51\%}$
test_set_nested_new	85.7100μs	26.6959μs	37.4589 KOps/s	40.2996 KOps/s	$\textbf{\color{#d91a1a}-7.05\%}$
test_select	0.1044ms	41.5677μs	24.0572 KOps/s	25.2364 KOps/s	$\color{#d91a1a}-4.67\%$
test_select_nested	0.1318ms	60.0514μs	16.6524 KOps/s	16.2503 KOps/s	$\color{#35bf28}+2.47\%$
test_exclude_nested	0.2388ms	0.1199ms	8.3407 KOps/s	8.1929 KOps/s	$\color{#35bf28}+1.80\%$
test_empty[True]	0.6024ms	0.3938ms	2.5397 KOps/s	2.4650 KOps/s	$\color{#35bf28}+3.03\%$
test_empty[False]	8.7444μs	1.0904μs	917.1298 KOps/s	929.1446 KOps/s	$\color{#d91a1a}-1.29\%$
test_unbind_speed	1.5314ms	0.2620ms	3.8163 KOps/s	3.8380 KOps/s	$\color{#d91a1a}-0.57\%$
test_unbind_speed_stack0	0.5704ms	0.2555ms	3.9133 KOps/s	3.9174 KOps/s	$\color{#d91a1a}-0.10\%$
test_unbind_speed_stack1	61.7180ms	0.7263ms	1.3768 KOps/s	1.3225 KOps/s	$\color{#35bf28}+4.10\%$
test_split	60.2834ms	1.6180ms	618.0402 Ops/s	622.1635 Ops/s	$\color{#d91a1a}-0.66\%$
test_chunk	59.4299ms	1.6190ms	617.6554 Ops/s	623.4096 Ops/s	$\color{#d91a1a}-0.92\%$
test_creation[device0]	0.1865ms	0.1063ms	9.4107 KOps/s	9.3399 KOps/s	$\color{#35bf28}+0.76\%$
test_creation_from_tensor	3.3740ms	84.2424μs	11.8705 KOps/s	11.9970 KOps/s	$\color{#d91a1a}-1.05\%$
test_add_one[memmap_tensor0]	88.7260μs	5.6075μs	178.3312 KOps/s	183.0417 KOps/s	$\color{#d91a1a}-2.57\%$
test_contiguous[memmap_tensor0]	20.4380μs	0.6600μs	1.5152 MOps/s	1.5865 MOps/s	$\color{#d91a1a}-4.50\%$
test_stack[memmap_tensor0]	26.6900μs	3.4790μs	287.4375 KOps/s	271.6093 KOps/s	$\textbf{\color{#35bf28}+5.83\%}$
test_memmaptd_index	1.0307ms	0.2411ms	4.1483 KOps/s	4.0951 KOps/s	$\color{#35bf28}+1.30\%$
test_memmaptd_index_astensor	0.6290ms	0.3202ms	3.1229 KOps/s	3.1400 KOps/s	$\color{#d91a1a}-0.54\%$
test_memmaptd_index_op	1.1646ms	0.6289ms	1.5902 KOps/s	1.6755 KOps/s	$\textbf{\color{#d91a1a}-5.09\%}$
test_serialize_model	0.1060s	0.1009s	9.9071 Ops/s	9.2497 Ops/s	$\textbf{\color{#35bf28}+7.11\%}$
test_serialize_model_pickle	0.4481s	0.3806s	2.6276 Ops/s	2.6326 Ops/s	$\color{#d91a1a}-0.19\%$
test_serialize_weights	0.1625s	0.1058s	9.4489 Ops/s	9.4955 Ops/s	$\color{#d91a1a}-0.49\%$
test_serialize_weights_returnearly	0.1850s	0.1295s	7.7193 Ops/s	8.2433 Ops/s	$\textbf{\color{#d91a1a}-6.36\%}$
test_serialize_weights_pickle	0.6601s	0.4845s	2.0640 Ops/s	1.5498 Ops/s	$\textbf{\color{#35bf28}+33.18\%}$
test_serialize_weights_filesystem	0.1512s	96.7805ms	10.3327 Ops/s	11.1592 Ops/s	$\textbf{\color{#d91a1a}-7.41\%}$
test_serialize_model_filesystem	0.1032s	93.4887ms	10.6965 Ops/s	10.3153 Ops/s	$\color{#35bf28}+3.70\%$
test_reshape_pytree	69.0790μs	25.4155μs	39.3461 KOps/s	37.7800 KOps/s	$\color{#35bf28}+4.15\%$
test_reshape_td	85.7000μs	32.8513μs	30.4402 KOps/s	29.5824 KOps/s	$\color{#35bf28}+2.90\%$
test_view_pytree	58.7600μs	25.3945μs	39.3787 KOps/s	38.4618 KOps/s	$\color{#35bf28}+2.38\%$
test_view_td	95.3680μs	36.7577μs	27.2052 KOps/s	27.0719 KOps/s	$\color{#35bf28}+0.49\%$
test_unbind_pytree	85.8310μs	29.1712μs	34.2804 KOps/s	33.2607 KOps/s	$\color{#35bf28}+3.07\%$
test_unbind_td	0.4123ms	37.6861μs	26.5350 KOps/s	26.3933 KOps/s	$\color{#35bf28}+0.54\%$
test_split_pytree	83.3590μs	29.4283μs	33.9809 KOps/s	32.7810 KOps/s	$\color{#35bf28}+3.66\%$
test_split_td	0.4586ms	40.7545μs	24.5372 KOps/s	24.1629 KOps/s	$\color{#35bf28}+1.55\%$
test_add_pytree	84.4080μs	35.3423μs	28.2947 KOps/s	28.4625 KOps/s	$\color{#d91a1a}-0.59\%$
test_add_td	0.1370ms	55.9402μs	17.8762 KOps/s	17.3867 KOps/s	$\color{#35bf28}+2.82\%$
test_distributed	0.1776ms	98.4482μs	10.1576 KOps/s	9.9358 KOps/s	$\color{#35bf28}+2.23\%$
test_tdmodule	30.1070μs	17.5171μs	57.0870 KOps/s	59.2456 KOps/s	$\color{#d91a1a}-3.64\%$
test_tdmodule_dispatch	74.3800μs	35.3379μs	28.2982 KOps/s	29.6767 KOps/s	$\color{#d91a1a}-4.65\%$
test_tdseq	44.3730μs	20.3500μs	49.1400 KOps/s	51.7029 KOps/s	$\color{#d91a1a}-4.96\%$
test_tdseq_dispatch	59.1810μs	39.8167μs	25.1151 KOps/s	26.4121 KOps/s	$\color{#d91a1a}-4.91\%$
test_instantiation_functorch	1.4002ms	1.3072ms	764.9950 Ops/s	745.1221 Ops/s	$\color{#35bf28}+2.67\%$
test_instantiation_td	1.5567ms	1.0115ms	988.6018 Ops/s	973.3089 Ops/s	$\color{#35bf28}+1.57\%$
test_exec_functorch	0.2136ms	0.1616ms	6.1877 KOps/s	6.0606 KOps/s	$\color{#35bf28}+2.10\%$
test_exec_functional_call	0.3136ms	0.1493ms	6.6993 KOps/s	6.5562 KOps/s	$\color{#35bf28}+2.18\%$
test_exec_td	0.2180ms	0.1443ms	6.9287 KOps/s	6.7758 KOps/s	$\color{#35bf28}+2.26\%$
test_exec_td_decorator	0.7123ms	0.2198ms	4.5499 KOps/s	4.5172 KOps/s	$\color{#35bf28}+0.72\%$
test_vmap_mlp_speed[True-True]	0.6028ms	0.4772ms	2.0954 KOps/s	2.0689 KOps/s	$\color{#35bf28}+1.28\%$
test_vmap_mlp_speed[True-False]	0.7432ms	0.4760ms	2.1009 KOps/s	2.0871 KOps/s	$\color{#35bf28}+0.66\%$
test_vmap_mlp_speed[False-True]	0.5766ms	0.3881ms	2.5766 KOps/s	2.5287 KOps/s	$\color{#35bf28}+1.89\%$
test_vmap_mlp_speed[False-False]	0.6336ms	0.4047ms	2.4709 KOps/s	2.5263 KOps/s	$\color{#d91a1a}-2.19\%$
test_vmap_mlp_speed_decorator[True-True]	0.9931ms	0.5498ms	1.8189 KOps/s	1.8059 KOps/s	$\color{#35bf28}+0.72\%$
test_vmap_mlp_speed_decorator[True-False]	0.8312ms	0.5514ms	1.8136 KOps/s	1.8145 KOps/s	$\color{#d91a1a}-0.05\%$
test_vmap_mlp_speed_decorator[False-True]	0.6813ms	0.4524ms	2.2103 KOps/s	2.1844 KOps/s	$\color{#35bf28}+1.19\%$
test_vmap_mlp_speed_decorator[False-False]	1.6092ms	0.4515ms	2.2148 KOps/s	2.1862 KOps/s	$\color{#35bf28}+1.31\%$
test_to_module_speed[True]	2.5286ms	1.6691ms	599.1289 Ops/s	575.1770 Ops/s	$\color{#35bf28}+4.16\%$
test_to_module_speed[False]	1.7692ms	1.6399ms	609.7764 Ops/s	588.3608 Ops/s	$\color{#35bf28}+3.64\%$