Jeremy Reizenstein
34f648ede0
move targets
...
Summary: Move testing targets from pytorch3d/tests/TARGETS to pytorch3d/TARGETS.
Reviewed By: shapovalov
Differential Revision: D36186940
fbshipit-source-id: a4c52c4d99351f885e2b0bf870532d530324039b
2022-05-25 06:16:03 -07:00
Tim Hatch
34bbb3ad32
apply import merging for fbcode/vision/fair (2 of 2)
...
Summary:
Applies new import merging and sorting from µsort v1.0.
When merging imports, µsort will make a best-effort to move associated
comments to match merged elements, but there are known limitations due to
the diynamic nature of Python and developer tooling. These changes should
not produce any dangerous runtime changes, but may require touch-ups to
satisfy linters and other tooling.
Note that µsort uses case-insensitive, lexicographical sorting, which
results in a different ordering compared to isort. This provides a more
consistent sorting order, matching the case-insensitive order used when
sorting import statements by module name, and ensures that "frog", "FROG",
and "Frog" always sort next to each other.
For details on µsort's sorting and merging semantics, see the user guide:
https://usort.readthedocs.io/en/stable/guide.html#sorting
Reviewed By: bottler
Differential Revision: D35553814
fbshipit-source-id: be49bdb6a4c25264ff8d4db3a601f18736d17be1
2022-04-13 06:51:33 -07:00
Jeremy Reizenstein
9eeb456e82
Update license for company name
...
Summary: Update all FB license strings to the new format.
Reviewed By: patricklabatut
Differential Revision: D33403538
fbshipit-source-id: 97a4596c5c888f3c54f44456dc07e718a387a02c
2022-01-04 11:43:38 -08:00
Patrick Labatut
af93f34834
License lint codebase
...
Summary: License lint codebase
Reviewed By: theschnitz
Differential Revision: D29001799
fbshipit-source-id: 5c59869911785b0181b1663bbf430bc8b7fb2909
2021-06-22 03:45:27 -07:00
Nikhila Ravi
c3d636dc8c
Cuda updates
...
Summary:
Updates to:
- enable cuda kernel launches on any GPU (not just the default)
- cuda and contiguous checks for all kernels
- checks to ensure all tensors are on the same device
- error reporting in the cuda kernels
- cuda tests now run on a random device not just the default
Reviewed By: jcjohnson, gkioxari
Differential Revision: D21215280
fbshipit-source-id: 1bedc9fe6c35e9e920bdc4d78ed12865b1005519
2020-04-24 09:11:04 -07:00
Patrick Labatut
d57daa6f85
Address black + isort fbsource linter warnings
...
Summary: Address black + isort fbsource linter warnings from D20558374 (previous diff)
Reviewed By: nikhilaravi
Differential Revision: D20558373
fbshipit-source-id: d3607de4a01fb24c0d5269634563a7914bddf1c8
2020-03-29 14:51:02 -07:00
Patrick Labatut
3c71ab64cc
Remove shebang line when not strictly required
...
Summary: The shebang line `#!<path to interpreter>` is only required for Python scripts, so remove it on source files for class or function definitions. Additionally explicitly mark as executable the actual Python scripts in the codebase.
Reviewed By: nikhilaravi
Differential Revision: D20095778
fbshipit-source-id: d312599fba485e978a243292f88a180d71e1b55a
2020-03-12 10:39:44 -07:00
Georgia Gkioxari
60f3c4e7d2
cpp support for packed to padded
...
Summary:
Cpu implementation for packed to padded and added gradients
```
Benchmark Avg Time(μs) Peak Time(μs) Iterations
--------------------------------------------------------------------------------
PACKED_TO_PADDED_2_100_300_1_cpu 138 221 3625
PACKED_TO_PADDED_2_100_300_1_cuda:0 184 261 2716
PACKED_TO_PADDED_2_100_300_16_cpu 555 726 901
PACKED_TO_PADDED_2_100_300_16_cuda:0 179 260 2794
PACKED_TO_PADDED_2_100_3000_1_cpu 396 519 1262
PACKED_TO_PADDED_2_100_3000_1_cuda:0 181 274 2764
PACKED_TO_PADDED_2_100_3000_16_cpu 4517 5003 111
PACKED_TO_PADDED_2_100_3000_16_cuda:0 224 397 2235
PACKED_TO_PADDED_2_1000_300_1_cpu 138 212 3616
PACKED_TO_PADDED_2_1000_300_1_cuda:0 180 282 2775
PACKED_TO_PADDED_2_1000_300_16_cpu 565 711 885
PACKED_TO_PADDED_2_1000_300_16_cuda:0 179 264 2797
PACKED_TO_PADDED_2_1000_3000_1_cpu 389 494 1287
PACKED_TO_PADDED_2_1000_3000_1_cuda:0 180 271 2777
PACKED_TO_PADDED_2_1000_3000_16_cpu 4522 5170 111
PACKED_TO_PADDED_2_1000_3000_16_cuda:0 216 286 2313
PACKED_TO_PADDED_10_100_300_1_cpu 251 345 1995
PACKED_TO_PADDED_10_100_300_1_cuda:0 178 262 2806
PACKED_TO_PADDED_10_100_300_16_cpu 2354 2750 213
PACKED_TO_PADDED_10_100_300_16_cuda:0 178 291 2814
PACKED_TO_PADDED_10_100_3000_1_cpu 1519 1786 330
PACKED_TO_PADDED_10_100_3000_1_cuda:0 179 237 2791
PACKED_TO_PADDED_10_100_3000_16_cpu 24705 25879 21
PACKED_TO_PADDED_10_100_3000_16_cuda:0 228 316 2191
PACKED_TO_PADDED_10_1000_300_1_cpu 261 432 1919
PACKED_TO_PADDED_10_1000_300_1_cuda:0 181 261 2756
PACKED_TO_PADDED_10_1000_300_16_cpu 2349 2770 213
PACKED_TO_PADDED_10_1000_300_16_cuda:0 180 256 2782
PACKED_TO_PADDED_10_1000_3000_1_cpu 1613 1929 310
PACKED_TO_PADDED_10_1000_3000_1_cuda:0 183 253 2739
PACKED_TO_PADDED_10_1000_3000_16_cpu 22041 23653 23
PACKED_TO_PADDED_10_1000_3000_16_cuda:0 220 343 2270
PACKED_TO_PADDED_32_100_300_1_cpu 555 750 901
PACKED_TO_PADDED_32_100_300_1_cuda:0 188 282 2661
PACKED_TO_PADDED_32_100_300_16_cpu 7550 8131 67
PACKED_TO_PADDED_32_100_300_16_cuda:0 181 272 2770
PACKED_TO_PADDED_32_100_3000_1_cpu 4574 6327 110
PACKED_TO_PADDED_32_100_3000_1_cuda:0 173 254 2884
PACKED_TO_PADDED_32_100_3000_16_cpu 70366 72563 8
PACKED_TO_PADDED_32_100_3000_16_cuda:0 349 654 1433
PACKED_TO_PADDED_32_1000_300_1_cpu 612 728 818
PACKED_TO_PADDED_32_1000_300_1_cuda:0 189 295 2647
PACKED_TO_PADDED_32_1000_300_16_cpu 7699 8254 65
PACKED_TO_PADDED_32_1000_300_16_cuda:0 189 311 2646
PACKED_TO_PADDED_32_1000_3000_1_cpu 5105 5261 98
PACKED_TO_PADDED_32_1000_3000_1_cuda:0 191 260 2625
PACKED_TO_PADDED_32_1000_3000_16_cpu 87073 92708 6
PACKED_TO_PADDED_32_1000_3000_16_cuda:0 344 425 1455
--------------------------------------------------------------------------------
Benchmark Avg Time(μs) Peak Time(μs) Iterations
--------------------------------------------------------------------------------
PACKED_TO_PADDED_TORCH_2_100_300_1_cpu 492 627 1016
PACKED_TO_PADDED_TORCH_2_100_300_1_cuda:0 768 975 652
PACKED_TO_PADDED_TORCH_2_100_300_16_cpu 659 804 760
PACKED_TO_PADDED_TORCH_2_100_300_16_cuda:0 781 918 641
PACKED_TO_PADDED_TORCH_2_100_3000_1_cpu 624 734 802
PACKED_TO_PADDED_TORCH_2_100_3000_1_cuda:0 778 929 643
PACKED_TO_PADDED_TORCH_2_100_3000_16_cpu 2609 2850 192
PACKED_TO_PADDED_TORCH_2_100_3000_16_cuda:0 758 901 660
PACKED_TO_PADDED_TORCH_2_1000_300_1_cpu 467 612 1072
PACKED_TO_PADDED_TORCH_2_1000_300_1_cuda:0 772 905 648
PACKED_TO_PADDED_TORCH_2_1000_300_16_cpu 689 839 726
PACKED_TO_PADDED_TORCH_2_1000_300_16_cuda:0 789 1143 635
PACKED_TO_PADDED_TORCH_2_1000_3000_1_cpu 629 735 795
PACKED_TO_PADDED_TORCH_2_1000_3000_1_cuda:0 812 916 616
PACKED_TO_PADDED_TORCH_2_1000_3000_16_cpu 2716 3117 185
PACKED_TO_PADDED_TORCH_2_1000_3000_16_cuda:0 844 1288 593
PACKED_TO_PADDED_TORCH_10_100_300_1_cpu 2387 2557 210
PACKED_TO_PADDED_TORCH_10_100_300_1_cuda:0 4112 4993 122
PACKED_TO_PADDED_TORCH_10_100_300_16_cpu 3385 4254 148
PACKED_TO_PADDED_TORCH_10_100_300_16_cuda:0 3959 4902 127
PACKED_TO_PADDED_TORCH_10_100_3000_1_cpu 2918 3105 172
PACKED_TO_PADDED_TORCH_10_100_3000_1_cuda:0 4054 4450 124
PACKED_TO_PADDED_TORCH_10_100_3000_16_cpu 12748 13623 40
PACKED_TO_PADDED_TORCH_10_100_3000_16_cuda:0 4023 4395 125
PACKED_TO_PADDED_TORCH_10_1000_300_1_cpu 2258 2492 222
PACKED_TO_PADDED_TORCH_10_1000_300_1_cuda:0 3997 4312 126
PACKED_TO_PADDED_TORCH_10_1000_300_16_cpu 3404 3597 147
PACKED_TO_PADDED_TORCH_10_1000_300_16_cuda:0 3877 4227 129
PACKED_TO_PADDED_TORCH_10_1000_3000_1_cpu 2789 3054 180
PACKED_TO_PADDED_TORCH_10_1000_3000_1_cuda:0 3821 4402 131
PACKED_TO_PADDED_TORCH_10_1000_3000_16_cpu 11967 12963 42
PACKED_TO_PADDED_TORCH_10_1000_3000_16_cuda:0 3729 4290 135
PACKED_TO_PADDED_TORCH_32_100_300_1_cpu 6933 8152 73
PACKED_TO_PADDED_TORCH_32_100_300_1_cuda:0 11856 12287 43
PACKED_TO_PADDED_TORCH_32_100_300_16_cpu 9895 11205 51
PACKED_TO_PADDED_TORCH_32_100_300_16_cuda:0 12354 13596 41
PACKED_TO_PADDED_TORCH_32_100_3000_1_cpu 9516 10128 53
PACKED_TO_PADDED_TORCH_32_100_3000_1_cuda:0 12917 13597 39
PACKED_TO_PADDED_TORCH_32_100_3000_16_cpu 41209 43783 13
PACKED_TO_PADDED_TORCH_32_100_3000_16_cuda:0 12210 13288 41
PACKED_TO_PADDED_TORCH_32_1000_300_1_cpu 7179 7689 70
PACKED_TO_PADDED_TORCH_32_1000_300_1_cuda:0 11896 12381 43
PACKED_TO_PADDED_TORCH_32_1000_300_16_cpu 10127 15494 50
PACKED_TO_PADDED_TORCH_32_1000_300_16_cuda:0 12034 12817 42
PACKED_TO_PADDED_TORCH_32_1000_3000_1_cpu 8743 10251 58
PACKED_TO_PADDED_TORCH_32_1000_3000_1_cuda:0 12023 12908 42
PACKED_TO_PADDED_TORCH_32_1000_3000_16_cpu 39071 41777 13
PACKED_TO_PADDED_TORCH_32_1000_3000_16_cuda:0 11999 13690 42
--------------------------------------------------------------------------------
```
Reviewed By: bottler, nikhilaravi, jcjohnson
Differential Revision: D19870575
fbshipit-source-id: 23a2477b73373c411899633386c87ab034c3702a
2020-02-19 10:48:54 -08:00
