[Versioning] M1 compatibility

[vmoens]

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

Total Benchmarks: 105. Improved: $\large\color{#35bf28}5$. Worsened: $\large\color{#d91a1a}4$.

Expand to view detailed results

Name	Max	Mean	Ops	Ops on Repo HEAD	Change
test_plain_set_nested	31.9000μs	20.0412μs	49.8972 KOps/s	50.5111 KOps/s	$\color{#d91a1a}-1.22\%$
test_plain_set_stack_nested	0.2216ms	0.1827ms	5.4720 KOps/s	5.4716 KOps/s	$+0.01\%$
test_plain_set_nested_inplace	36.5000μs	23.4817μs	42.5864 KOps/s	42.7936 KOps/s	$\color{#d91a1a}-0.48\%$
test_plain_set_stack_nested_inplace	0.2426ms	0.2200ms	4.5461 KOps/s	4.6147 KOps/s	$\color{#d91a1a}-1.49\%$
test_items	22.1000μs	3.1178μs	320.7395 KOps/s	321.6457 KOps/s	$\color{#d91a1a}-0.28\%$
test_items_nested	0.4273ms	0.4009ms	2.4943 KOps/s	2.6972 KOps/s	$\textbf{\color{#d91a1a}-7.52\%}$
test_items_nested_locked	0.4582ms	0.4009ms	2.4944 KOps/s	2.6876 KOps/s	$\textbf{\color{#d91a1a}-7.19\%}$
test_items_nested_leaf	1.2133ms	0.2388ms	4.1873 KOps/s	4.6300 KOps/s	$\textbf{\color{#d91a1a}-9.56\%}$
test_items_stack_nested	1.9870ms	1.9221ms	520.2665 Ops/s	533.0955 Ops/s	$\color{#d91a1a}-2.41\%$
test_items_stack_nested_leaf	1.7629ms	1.7232ms	580.3178 Ops/s	589.0901 Ops/s	$\color{#d91a1a}-1.49\%$
test_items_stack_nested_locked	2.3906ms	0.9773ms	1.0233 KOps/s	1.0268 KOps/s	$\color{#d91a1a}-0.34\%$
test_keys	26.5000μs	4.5841μs	218.1451 KOps/s	222.6771 KOps/s	$\color{#d91a1a}-2.04\%$
test_keys_nested	0.7183ms	0.1744ms	5.7334 KOps/s	5.5030 KOps/s	$\color{#35bf28}+4.19\%$
test_keys_nested_locked	0.2202ms	0.1722ms	5.8068 KOps/s	5.8362 KOps/s	$\color{#d91a1a}-0.50\%$
test_keys_nested_leaf	0.2845ms	0.1704ms	5.8701 KOps/s	5.8914 KOps/s	$\color{#d91a1a}-0.36\%$
test_keys_stack_nested	1.8108ms	1.7392ms	574.9912 Ops/s	577.6947 Ops/s	$\color{#d91a1a}-0.47\%$
test_keys_stack_nested_leaf	1.8100ms	1.7378ms	575.4351 Ops/s	580.5824 Ops/s	$\color{#d91a1a}-0.89\%$
test_keys_stack_nested_locked	1.0898ms	0.7886ms	1.2680 KOps/s	1.2799 KOps/s	$\color{#d91a1a}-0.93\%$
test_values	17.6000μs	1.3270μs	753.5682 KOps/s	802.8355 KOps/s	$\textbf{\color{#d91a1a}-6.14\%}$
test_values_nested	0.1074ms	64.4708μs	15.5109 KOps/s	15.5668 KOps/s	$\color{#d91a1a}-0.36\%$
test_values_nested_locked	0.1146ms	63.9400μs	15.6397 KOps/s	15.4369 KOps/s	$\color{#35bf28}+1.31\%$
test_values_nested_leaf	78.6010μs	56.2251μs	17.7857 KOps/s	17.5059 KOps/s	$\color{#35bf28}+1.60\%$
test_values_stack_nested	1.5831ms	1.5177ms	658.8771 Ops/s	656.9659 Ops/s	$\color{#35bf28}+0.29\%$
test_values_stack_nested_leaf	1.5581ms	1.5016ms	665.9686 Ops/s	667.6121 Ops/s	$\color{#d91a1a}-0.25\%$
test_values_stack_nested_locked	0.6758ms	0.6289ms	1.5900 KOps/s	1.5761 KOps/s	$\color{#35bf28}+0.88\%$
test_membership	37.2000μs	1.7741μs	563.6717 KOps/s	530.7397 KOps/s	$\textbf{\color{#35bf28}+6.20\%}$
test_membership_nested	23.8000μs	3.7261μs	268.3798 KOps/s	269.4976 KOps/s	$\color{#d91a1a}-0.41\%$
test_membership_nested_leaf	17.1000μs	3.6878μs	271.1657 KOps/s	268.8748 KOps/s	$\color{#35bf28}+0.85\%$
test_membership_stacked_nested	40.6000μs	14.7662μs	67.7220 KOps/s	68.5283 KOps/s	$\color{#d91a1a}-1.18\%$
test_membership_stacked_nested_leaf	39.1000μs	14.7923μs	67.6025 KOps/s	68.0489 KOps/s	$\color{#d91a1a}-0.66\%$
test_membership_nested_last	33.1010μs	7.4598μs	134.0514 KOps/s	135.0378 KOps/s	$\color{#d91a1a}-0.73\%$
test_membership_nested_leaf_last	36.3010μs	7.5852μs	131.8355 KOps/s	133.7045 KOps/s	$\color{#d91a1a}-1.40\%$
test_membership_stacked_nested_last	0.2623ms	0.2231ms	4.4819 KOps/s	4.5063 KOps/s	$\color{#d91a1a}-0.54\%$
test_membership_stacked_nested_leaf_last	39.2000μs	16.9923μs	58.8501 KOps/s	59.2821 KOps/s	$\color{#d91a1a}-0.73\%$
test_nested_getleaf	54.0000μs	15.4792μs	64.6027 KOps/s	64.1219 KOps/s	$\color{#35bf28}+0.75\%$
test_nested_get	38.3000μs	14.6744μs	68.1460 KOps/s	67.5006 KOps/s	$\color{#35bf28}+0.96\%$
test_stacked_getleaf	0.9313ms	0.8182ms	1.2222 KOps/s	1.2240 KOps/s	$\color{#d91a1a}-0.14\%$
test_stacked_get	0.8226ms	0.7845ms	1.2747 KOps/s	1.2828 KOps/s	$\color{#d91a1a}-0.63\%$
test_nested_getitemleaf	36.5010μs	15.4028μs	64.9231 KOps/s	64.1367 KOps/s	$\color{#35bf28}+1.23\%$
test_nested_getitem	43.1000μs	14.6431μs	68.2915 KOps/s	67.2074 KOps/s	$\color{#35bf28}+1.61\%$
test_stacked_getitemleaf	0.9185ms	0.8208ms	1.2183 KOps/s	1.2229 KOps/s	$\color{#d91a1a}-0.38\%$
test_stacked_getitem	0.8219ms	0.7891ms	1.2673 KOps/s	1.2791 KOps/s	$\color{#d91a1a}-0.92\%$
test_lock_nested	51.6775ms	1.4310ms	698.8324 Ops/s	719.5292 Ops/s	$\color{#d91a1a}-2.88\%$
test_lock_stack_nested	72.5015ms	16.6775ms	59.9610 Ops/s	55.7714 Ops/s	$\textbf{\color{#35bf28}+7.51\%}$
test_unlock_nested	50.5781ms	1.4261ms	701.2301 Ops/s	685.4328 Ops/s	$\color{#35bf28}+2.30\%$
test_unlock_stack_nested	70.8144ms	17.1720ms	58.2343 Ops/s	54.6399 Ops/s	$\textbf{\color{#35bf28}+6.58\%}$
test_flatten_speed	1.0339ms	0.9818ms	1.0186 KOps/s	1.0255 KOps/s	$\color{#d91a1a}-0.67\%$
test_unflatten_speed	1.7544ms	1.7191ms	581.7065 Ops/s	592.7705 Ops/s	$\color{#d91a1a}-1.87\%$
test_common_ops	1.1545ms	1.0103ms	989.7858 Ops/s	989.4965 Ops/s	$\color{#35bf28}+0.03\%$
test_creation	24.7000μs	5.9918μs	166.8959 KOps/s	164.9914 KOps/s	$\color{#35bf28}+1.15\%$
test_creation_empty	27.8000μs	13.1173μs	76.2352 KOps/s	75.4443 KOps/s	$\color{#35bf28}+1.05\%$
test_creation_nested_1	41.7000μs	22.5891μs	44.2691 KOps/s	44.0203 KOps/s	$\color{#35bf28}+0.57\%$
test_creation_nested_2	45.2000μs	25.7345μs	38.8583 KOps/s	39.3510 KOps/s	$\color{#d91a1a}-1.25\%$
test_clone	94.4000μs	24.0399μs	41.5974 KOps/s	42.3205 KOps/s	$\color{#d91a1a}-1.71\%$
test_getitem[int]	47.0000μs	26.6113μs	37.5780 KOps/s	36.8477 KOps/s	$\color{#35bf28}+1.98\%$
test_getitem[slice_int]	73.5000μs	50.7437μs	19.7069 KOps/s	19.6310 KOps/s	$\color{#35bf28}+0.39\%$
test_getitem[range]	0.2107ms	74.6154μs	13.4021 KOps/s	13.2842 KOps/s	$\color{#35bf28}+0.89\%$
test_getitem[tuple]	60.4000μs	41.4194μs	24.1433 KOps/s	23.5990 KOps/s	$\color{#35bf28}+2.31\%$
test_getitem[list]	0.2296ms	69.8883μs	14.3085 KOps/s	13.9549 KOps/s	$\color{#35bf28}+2.53\%$
test_setitem_dim[int]	48.8000μs	33.4270μs	29.9159 KOps/s	30.2430 KOps/s	$\color{#d91a1a}-1.08\%$
test_setitem_dim[slice_int]	86.1000μs	59.3587μs	16.8467 KOps/s	16.8164 KOps/s	$\color{#35bf28}+0.18\%$
test_setitem_dim[range]	0.1164ms	78.3120μs	12.7694 KOps/s	12.5918 KOps/s	$\color{#35bf28}+1.41\%$
test_setitem_dim[tuple]	53.5000μs	49.8323μs	20.0673 KOps/s	20.0583 KOps/s	$\color{#35bf28}+0.04\%$
test_setitem	83.6000μs	29.0096μs	34.4713 KOps/s	34.6115 KOps/s	$\color{#d91a1a}-0.41\%$
test_set	81.7000μs	28.2198μs	35.4361 KOps/s	35.4349 KOps/s	$+0.00\%$
test_set_shared	2.5548ms	0.1707ms	5.8597 KOps/s	5.9537 KOps/s	$\color{#d91a1a}-1.58\%$
test_update	0.1365ms	31.2667μs	31.9829 KOps/s	31.8606 KOps/s	$\color{#35bf28}+0.38\%$
test_update_nested	0.1090ms	48.8831μs	20.4570 KOps/s	20.7936 KOps/s	$\color{#d91a1a}-1.62\%$
test_set_nested	88.7010μs	30.2643μs	33.0422 KOps/s	32.6305 KOps/s	$\color{#35bf28}+1.26\%$
test_set_nested_new	0.1136ms	49.0185μs	20.4004 KOps/s	20.8234 KOps/s	$\color{#d91a1a}-2.03\%$
test_select	0.1612ms	95.5640μs	10.4642 KOps/s	10.7843 KOps/s	$\color{#d91a1a}-2.97\%$
test_unbind_speed	0.6452ms	0.6223ms	1.6069 KOps/s	1.6057 KOps/s	$\color{#35bf28}+0.08\%$
test_unbind_speed_stack0	59.3599ms	7.7565ms	128.9241 Ops/s	128.1869 Ops/s	$\color{#35bf28}+0.58\%$
test_unbind_speed_stack1	5.5200μs	0.9362μs	1.0681 MOps/s	884.6065 KOps/s	$\textbf{\color{#35bf28}+20.75\%}$
test_creation[device0]	0.4623ms	0.3322ms	3.0104 KOps/s	2.9990 KOps/s	$\color{#35bf28}+0.38\%$
test_creation_from_tensor	2.5206ms	0.3769ms	2.6534 KOps/s	2.6548 KOps/s	$\color{#d91a1a}-0.05\%$
test_add_one[memmap_tensor0]	1.4125ms	30.9106μs	32.3513 KOps/s	32.4794 KOps/s	$\color{#d91a1a}-0.39\%$
test_contiguous[memmap_tensor0]	29.8000μs	8.6391μs	115.7532 KOps/s	116.2193 KOps/s	$\color{#d91a1a}-0.40\%$
test_stack[memmap_tensor0]	59.3000μs	25.7950μs	38.7671 KOps/s	38.7750 KOps/s	$\color{#d91a1a}-0.02\%$
test_memmaptd_index	0.3419ms	0.3016ms	3.3159 KOps/s	3.3421 KOps/s	$\color{#d91a1a}-0.78\%$
test_memmaptd_index_astensor	1.3155ms	1.1235ms	890.0772 Ops/s	901.5832 Ops/s	$\color{#d91a1a}-1.28\%$
test_memmaptd_index_op	2.4196ms	2.3608ms	423.5870 Ops/s	424.3092 Ops/s	$\color{#d91a1a}-0.17\%$
test_reshape_pytree	78.6000μs	32.4380μs	30.8280 KOps/s	31.0319 KOps/s	$\color{#d91a1a}-0.66\%$
test_reshape_td	85.7010μs	39.8719μs	25.0803 KOps/s	25.1542 KOps/s	$\color{#d91a1a}-0.29\%$
test_view_pytree	0.1099ms	31.7723μs	31.4740 KOps/s	31.4660 KOps/s	$\color{#35bf28}+0.03\%$
test_view_td	28.1000μs	8.6565μs	115.5206 KOps/s	115.4040 KOps/s	$\color{#35bf28}+0.10\%$
test_unbind_pytree	69.4010μs	37.7432μs	26.4949 KOps/s	26.8274 KOps/s	$\color{#d91a1a}-1.24\%$
test_unbind_td	0.1105ms	91.5321μs	10.9251 KOps/s	10.7533 KOps/s	$\color{#35bf28}+1.60\%$
test_split_pytree	68.3000μs	36.8646μs	27.1263 KOps/s	27.3854 KOps/s	$\color{#d91a1a}-0.95\%$
test_split_td	0.7593ms	0.1038ms	9.6360 KOps/s	9.5299 KOps/s	$\color{#35bf28}+1.11\%$
test_add_pytree	0.1066ms	45.3036μs	22.0733 KOps/s	22.4552 KOps/s	$\color{#d91a1a}-1.70\%$
test_add_td	0.1338ms	71.8255μs	13.9226 KOps/s	14.1210 KOps/s	$\color{#d91a1a}-1.40\%$
test_distributed	26.1000μs	8.1780μs	122.2788 KOps/s	124.4720 KOps/s	$\color{#d91a1a}-1.76\%$
test_tdmodule	1.3235ms	26.7418μs	37.3946 KOps/s	38.8015 KOps/s	$\color{#d91a1a}-3.63\%$
test_tdmodule_dispatch	0.2216ms	48.7342μs	20.5195 KOps/s	20.3897 KOps/s	$\color{#35bf28}+0.64\%$
test_tdseq	45.1000μs	26.6103μs	37.5795 KOps/s	37.6648 KOps/s	$\color{#d91a1a}-0.23\%$
test_tdseq_dispatch	0.1676ms	52.5278μs	19.0375 KOps/s	19.0033 KOps/s	$\color{#35bf28}+0.18\%$
test_instantiation_functorch	1.9694ms	1.5476ms	646.1569 Ops/s	645.1065 Ops/s	$\color{#35bf28}+0.16\%$
test_instantiation_td	2.0406ms	1.2683ms	788.4454 Ops/s	791.5549 Ops/s	$\color{#d91a1a}-0.39\%$
test_exec_functorch	0.2143ms	0.1843ms	5.4250 KOps/s	5.4371 KOps/s	$\color{#d91a1a}-0.22\%$
test_exec_td	0.2056ms	0.1770ms	5.6502 KOps/s	5.7706 KOps/s	$\color{#d91a1a}-2.09\%$
test_vmap_mlp_speed[True-True]	6.4489ms	1.0577ms	945.4818 Ops/s	900.3915 Ops/s	$\textbf{\color{#35bf28}+5.01\%}$
test_vmap_mlp_speed[True-False]	0.6759ms	0.5337ms	1.8739 KOps/s	1.8678 KOps/s	$\color{#35bf28}+0.33\%$
test_vmap_mlp_speed[False-True]	5.9250ms	0.9118ms	1.0967 KOps/s	1.1057 KOps/s	$\color{#d91a1a}-0.81\%$
test_vmap_mlp_speed[False-False]	5.7083ms	0.4292ms	2.3297 KOps/s	2.3320 KOps/s	$\color{#d91a1a}-0.10\%$

[DanilBaibak]

Let's remove this part. The idea is to use only one Python version to avoid wasting resources on every PR.

[vmoens]

Got it thanks! So this is a test that wheels can be built, but how do we actually build them for all python versions, then?