[CI] Test jfc4050's pr587 #606
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facebook-github-bot
added
the
CLA Signed
adds attn bias (including bias grad) and dropout support to CUTLASS
flashattn implementation
[-------------------------------------------- attn --------------------------------------------]
| reference | cutlass
1 threads: -------------------------------------------------------------------------------------
(8, 512, 64, 128, torch.float16, (512, 512, 512), False, 0.0) | 12.7 | 7.5
(8, 512, 64, 128, torch.float16, (512, 512, 512), False, 0.5) | 15.5 | 9.1
(8, 512, 64, 128, torch.float16, (512, 512, 512), True, 0.0) | 12.7 | 7.6
(8, 512, 64, 128, torch.float16, (512, 512, 512), True, 0.5) | 15.6 | 9.1
(8, 512, 64, 128, torch.float16, None, False, 0.0) | 10.1 | 6.0
(8, 512, 64, 128, torch.float16, None, False, 0.5) | 12.7 | 7.5
(8, 1024, 64, 128, torch.float16, (512, 1024, 1024), False, 0.0) | 44.3 | 29.1
(8, 1024, 64, 128, torch.float16, (512, 1024, 1024), False, 0.5) | 55.0 | 35.1
(8, 1024, 64, 128, torch.float16, (512, 1024, 1024), True, 0.0) | 45.1 | 29.4
(8, 1024, 64, 128, torch.float16, (512, 1024, 1024), True, 0.5) | 55.6 | 35.3
(8, 1024, 64, 128, torch.float16, None, False, 0.0) | 37.0 | 22.6
(8, 1024, 64, 128, torch.float16, None, False, 0.5) | 46.8 | 29.0
Times are in milliseconds (ms).
[------------------------------------------ attn-bwd ------------------------------------------]
| reference | cutlass
1 threads: -------------------------------------------------------------------------------------
(8, 512, 64, 128, torch.float16, (512, 512, 512), False, 0.0) | 19.3 | 24.1
(8, 512, 64, 128, torch.float16, (512, 512, 512), False, 0.5) | 19.4 | 24.6
(8, 512, 64, 128, torch.float16, (512, 512, 512), True, 0.0) | 22.3 | 28.7
(8, 512, 64, 128, torch.float16, (512, 512, 512), True, 0.5) | 22.4 | 29.0
(8, 512, 64, 128, torch.float16, None, False, 0.0) | 19.5 | 22.7
(8, 512, 64, 128, torch.float16, None, False, 0.5) | 19.5 | 23.4
(8, 1024, 64, 128, torch.float16, (512, 1024, 1024), False, 0.0) | 62.7 | 91.1
(8, 1024, 64, 128, torch.float16, (512, 1024, 1024), False, 0.5) | 63.4 | 93.7
(8, 1024, 64, 128, torch.float16, (512, 1024, 1024), True, 0.0) | 74.8 | 109.8
(8, 1024, 64, 128, torch.float16, (512, 1024, 1024), True, 0.5) | 75.1 | 111.1
(8, 1024, 64, 128, torch.float16, None, False, 0.0) | 63.2 | 85.5
(8, 1024, 64, 128, torch.float16, None, False, 0.5) | 64.0 | 90.1
BEFORE
[------------------------------------------ attn-bwd ------------------------------------------]
| reference | cutlass
1 threads: -------------------------------------------------------------------------------------
(8, 512, 64, 64, torch.float16, (512, 512, 512), False, 0.0) | 2.8 | 2.4
(8, 512, 64, 64, torch.float16, (512, 512, 512), False, 0.5) | 2.8 | 3.3
(8, 512, 64, 64, torch.float16, (512, 512, 512), True, 0.0) | 3.4 | 3.2
(8, 512, 64, 64, torch.float16, (512, 512, 512), True, 0.5) | 3.4 | 4.2
(8, 512, 64, 64, torch.float16, None, False, 0.0) | 2.8 | 2.0
(8, 512, 64, 64, torch.float16, None, False, 0.5) | 2.8 | 2.9
(8, 512, 64, 128, torch.float16, (512, 512, 512), False, 0.0) | 3.6 | 3.9
(8, 512, 64, 128, torch.float16, (512, 512, 512), False, 0.5) | 3.6 | 4.8
(8, 512, 64, 128, torch.float16, (512, 512, 512), True, 0.0) | 4.2 | 4.8
(8, 512, 64, 128, torch.float16, (512, 512, 512), True, 0.5) | 4.2 | 5.6
(8, 512, 64, 128, torch.float16, None, False, 0.0) | 3.6 | 3.4
(8, 512, 64, 128, torch.float16, None, False, 0.5) | 3.6 | 4.4
(8, 1024, 64, 64, torch.float16, (512, 1024, 1024), False, 0.0) | 9.7 | 8.8
(8, 1024, 64, 64, torch.float16, (512, 1024, 1024), False, 0.5) | 9.7 | 12.6
(8, 1024, 64, 64, torch.float16, (512, 1024, 1024), True, 0.0) | 12.0 | 12.1
(8, 1024, 64, 64, torch.float16, (512, 1024, 1024), True, 0.5) | 12.1 | 16.1
(8, 1024, 64, 64, torch.float16, None, False, 0.0) | 9.7 | 7.4
(8, 1024, 64, 64, torch.float16, None, False, 0.5) | 9.7 | 10.8
(8, 1024, 64, 128, torch.float16, (512, 1024, 1024), False, 0.0) | 11.3 | 14.0
(8, 1024, 64, 128, torch.float16, (512, 1024, 1024), False, 0.5) | 11.3 | 17.4
(8, 1024, 64, 128, torch.float16, (512, 1024, 1024), True, 0.0) | 13.6 | 17.8
(8, 1024, 64, 128, torch.float16, (512, 1024, 1024), True, 0.5) | 13.6 | 20.9
(8, 1024, 64, 128, torch.float16, None, False, 0.0) | 11.3 | 12.1
(8, 1024, 64, 128, torch.float16, None, False, 0.5) | 11.3 | 15.8
AFTER
[------------------------------------------ attn-bwd ------------------------------------------]
| reference | cutlass
1 threads: -------------------------------------------------------------------------------------
(8, 512, 64, 64, torch.float16, (512, 512, 512), False, 0.0) | 2.8 | 2.4
(8, 512, 64, 64, torch.float16, (512, 512, 512), False, 0.5) | 2.8 | 3.0
(8, 512, 64, 64, torch.float16, (512, 512, 512), True, 0.0) | 3.4 | 3.2
(8, 512, 64, 64, torch.float16, (512, 512, 512), True, 0.5) | 3.4 | 3.8
(8, 512, 64, 64, torch.float16, None, False, 0.0) | 2.8 | 2.0
(8, 512, 64, 64, torch.float16, None, False, 0.5) | 2.8 | 2.6
(8, 512, 64, 128, torch.float16, (512, 512, 512), False, 0.0) | 3.6 | 3.9
(8, 512, 64, 128, torch.float16, (512, 512, 512), False, 0.5) | 3.6 | 4.8
(8, 512, 64, 128, torch.float16, (512, 512, 512), True, 0.0) | 4.2 | 4.8
(8, 512, 64, 128, torch.float16, (512, 512, 512), True, 0.5) | 4.2 | 5.6
(8, 512, 64, 128, torch.float16, None, False, 0.0) | 3.6 | 3.4
(8, 512, 64, 128, torch.float16, None, False, 0.5) | 3.6 | 4.4
(8, 1024, 64, 64, torch.float16, (512, 1024, 1024), False, 0.0) | 9.7 | 8.8
(8, 1024, 64, 64, torch.float16, (512, 1024, 1024), False, 0.5) | 9.7 | 11.4
(8, 1024, 64, 64, torch.float16, (512, 1024, 1024), True, 0.0) | 12.0 | 12.1
(8, 1024, 64, 64, torch.float16, (512, 1024, 1024), True, 0.5) | 12.1 | 14.6
(8, 1024, 64, 64, torch.float16, None, False, 0.0) | 9.7 | 7.4
(8, 1024, 64, 64, torch.float16, None, False, 0.5) | 9.7 | 9.6
(8, 1024, 64, 128, torch.float16, (512, 1024, 1024), False, 0.0) | 11.3 | 14.1
(8, 1024, 64, 128, torch.float16, (512, 1024, 1024), False, 0.5) | 11.3 | 17.4
(8, 1024, 64, 128, torch.float16, (512, 1024, 1024), True, 0.0) | 13.6 | 17.8
(8, 1024, 64, 128, torch.float16, (512, 1024, 1024), True, 0.5) | 13.6 | 20.9
(8, 1024, 64, 128, torch.float16, None, False, 0.0) | 11.3 | 12.1
(8, 1024, 64, 128, torch.float16, None, False, 0.5) | 11.3 | 15.8
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To run CI on #587