Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Intel GPU Max Support + Gaudi #214

Merged
merged 110 commits into from
Jun 12, 2024
Merged

Intel GPU Max Support + Gaudi #214

merged 110 commits into from
Jun 12, 2024

Conversation

Delaunay
Copy link
Collaborator

No description provided.

@Delaunay Delaunay changed the title Update flops Intel GPU Max Support Apr 18, 2024
@Delaunay
Copy link
Collaborator Author

bench                          | fail | n |       perf |   sem% |   std% | peak_memory |      score | weight
bert-fp16                      |    0 | 8 |     264.75 |   1.0% |  15.1% |       19938 |    2172.03 |  0.00
bert-fp32                      |    0 | 8 |      44.88 |   0.6% |   9.0% |       25070 |     364.56 |  0.00
bert-tf32                      |    0 | 8 |     142.02 |   0.9% |  13.7% |       25070 |    1162.53 |  0.00
bert-tf32-fp16                 |    0 | 8 |     264.76 |   1.0% |  15.2% |       19938 |    2172.50 |  3.00
bf16                           |    0 | 8 |     293.18 |   0.3% |   7.1% |        5688 |    2361.24 |  0.00
brax                           |    0 | 1 |  726105.43 |   0.5% |   4.2% |        6448 |  726105.43 |  1.00
convnext_large-fp16            |    0 | 8 |     314.87 |   1.9% |  30.0% |       31292 |    2573.95 |  0.00
convnext_large-fp32            |    0 | 8 |      60.68 |   0.7% |  11.7% |       51200 |     495.05 |  0.00
convnext_large-tf32            |    0 | 8 |     157.86 |   1.0% |  15.3% |       53566 |    1295.69 |  0.00
convnext_large-tf32-fp16       |    0 | 8 |     327.89 |   1.6% |  25.3% |       31292 |    2683.47 |  3.00
davit_large                    |    0 | 8 |     322.97 |   0.6% |  14.1% |       34118 |    2615.24 |  1.00
davit_large-multi              |    0 | 1 |    2306.64 |   2.0% |  15.6% |       36224 |    2306.64 |  5.00
dlrm                           |    0 | 1 |  350872.23 |   3.4% |  26.3% |        7218 |  350872.23 |  1.00
focalnet                       |    0 | 8 |     365.13 |   0.8% |  17.7% |       27336 |    2956.17 |  2.00
fp16                           |    0 | 8 |     289.92 |   0.2% |   4.7% |        5688 |    2329.76 |  0.00
fp32                           |    0 | 8 |      19.13 |   0.0% |   1.1% |        6066 |     153.19 |  0.00
llama                          |    0 | 8 |     723.50 |   7.5% | 135.1% |       32166 |    5286.20 |  1.00
opt-1_3b                       |    0 | 1 |      29.98 |   0.3% |   1.5% |       41854 |      29.98 |  5.00
opt-6_7b                       |    0 | 1 |      14.01 |   3.2% |  17.0% |       60388 |      14.01 |  5.00
reformer                       |    0 | 8 |      62.22 |   0.3% |   6.1% |       29304 |     501.34 |  1.00
regnet_y_128gf                 |    0 | 8 |     115.86 |   0.5% |  10.1% |       35514 |     937.89 |  2.00
resnet152                      |    0 | 8 |     550.50 |   0.9% |  19.6% |       31204 |    4451.79 |  1.00
resnet152-ddp                  |    0 | 1 |    3098.23 |   2.3% |  17.5% |          -1 |    3098.23 |  0.00
resnet152-multi                |    0 | 1 |    3236.91 |   3.2% |  25.3% |       34020 |    3236.91 |  5.00
resnet50                       |    0 | 8 |    1155.10 |   1.0% |  22.8% |       18628 |    9362.48 |  1.00
resnet50-noio                  |    0 | 8 |    1160.48 |   0.3% |   7.4% |       31350 |    9365.89 |  0.00
rwkv                           |    0 | 8 |     430.59 |   0.2% |   3.9% |        9660 |    3446.78 |  1.00
stargan                        |    0 | 8 |      53.80 |   2.5% |  54.9% |       41036 |     427.12 |  1.00
super-slomo                    |    8 | 8 |        nan |   nan% |   nan% |       33934 |        nan |  1.00
t5                             |    0 | 8 |      51.31 |   0.4% |   9.5% |       38290 |     415.17 |  2.00
tf32                           |    0 | 8 |     146.41 |   0.2% |   4.8% |        6066 |    1176.71 |  0.00
whisper                        |    0 | 8 |     422.75 |   1.7% |  38.0% |       13178 |    3408.53 |  1.00

@Delaunay Delaunay force-pushed the intel branch 3 times, most recently from 2918bdd to d2af3cd Compare June 12, 2024 13:29
@Delaunay
Copy link
Collaborator Author

=================
Benchmark results
=================
bench                          | fail |   n |       perf |   sem% |   std% | peak_memory |      score | weight
bert-fp16                      |    0 |   8 |     161.31 |   0.9% |  13.8% |       24600 |    1320.71 |  0.00
bert-fp32                      |    0 |   8 |      40.09 |   0.6% |   8.8% |       31564 |     325.56 |  0.00
bert-tf32                      |    0 |   8 |     130.19 |   0.9% |  14.2% |       31566 |    1066.62 |  0.00
bert-tf32-fp16                 |    0 |   8 |     161.24 |   0.9% |  13.7% |       24600 |    1319.90 |  3.00
bf16                           |    0 |   8 |     293.35 |   0.3% |   7.5% |        1788 |    2363.43 |  0.00
brax                           |    0 |   1 |  723557.96 |   0.6% |   4.3% |        2676 |  723557.96 |  1.00
convnext_large-fp16            |    0 |   8 |     308.42 |   2.1% |  32.4% |       27392 |    2520.06 |  0.00
convnext_large-fp32            |    0 |   8 |      60.80 |   0.7% |  11.3% |       47300 |     495.68 |  0.00
convnext_large-tf32            |    0 |   8 |     157.81 |   0.9% |  14.7% |       49666 |    1293.85 |  0.00
convnext_large-tf32-fp16       |    0 |   8 |     320.54 |   1.7% |  26.3% |       27392 |    2622.50 |  3.00
davit_large                    |    0 |   8 |     316.53 |   0.7% |  15.6% |       30218 |    2562.53 |  1.00
davit_large-multi              |    0 |   1 |    2318.14 |   2.0% |  15.5% |       32324 |    2318.14 |  5.00
dlrm                           |    0 |   1 |  378082.39 |   2.9% |  22.5% |        3724 |  378082.39 |  1.00
focalnet                       |    0 |   8 |     365.67 |   0.7% |  16.8% |       23616 |    2960.51 |  2.00
fp16                           |    0 |   8 |     289.44 |   0.2% |   4.9% |        1788 |    2326.17 |  0.00
fp32                           |    0 |   8 |      19.14 |   0.0% |   1.0% |        2166 |     153.26 |  0.00
llama                          |    0 |   8 |     774.58 |   7.9% | 142.0% |       28424 |    5565.06 |  1.00
opt-1_3b                       |    0 |   1 |      29.22 |   1.7% |   9.2% |       38222 |      29.22 |  5.00
opt-1_3b-multinode             |  nan | nan |        nan |   nan% |   nan% |         nan |        nan | 10.00
opt-6_7b                       |    0 |   1 |      14.62 |   2.2% |  11.7% |       57098 |      14.62 |  5.00
opt-6_7b-multinode             |  nan | nan |        nan |   nan% |   nan% |         nan |        nan | 10.00
reformer                       |    0 |   8 |      62.32 |   0.3% |   5.9% |       25404 |     502.08 |  1.00
regnet_y_128gf                 |    0 |   8 |     115.36 |   0.5% |  10.6% |       31614 |     934.34 |  2.00
resnet152                      |    0 |   8 |     535.94 |   1.0% |  22.0% |       27310 |    4332.02 |  1.00
resnet152-ddp                  |    0 |   1 |    3395.01 |   2.1% |  16.1% |          -1 |    3395.01 |  0.00
resnet152-multi                |    0 |   1 |    3440.19 |   3.4% |  27.2% |       30128 |    3440.19 |  5.00
resnet50                       |    0 |   8 |    1167.32 |   0.8% |  18.7% |       14738 |    9464.09 |  1.00
resnet50-noio                  |    0 |   8 |    1162.24 |   0.3% |   7.2% |       27450 |    9377.80 |  0.00
stargan                        |    0 |   8 |      50.62 |   2.7% |  58.9% |       37416 |     402.78 |  1.00
super-slomo                    |    0 |   8 |      36.20 |   2.0% |  44.0% |       66072 |     290.66 |  1.00
t5                             |    0 |   8 |      51.35 |   0.4% |   9.5% |       34390 |     415.44 |  2.00
tf32                           |    0 |   8 |     146.58 |   0.2% |   4.9% |        2166 |    1178.04 |  0.00
whisper                        |    0 |   8 |     198.28 |   1.5% |  34.0% |       36724 |    1598.56 |  1.00

@Delaunay Delaunay marked this pull request as ready for review June 12, 2024 13:30
@Delaunay Delaunay merged commit 717de64 into master Jun 12, 2024
2 of 3 checks passed
@Delaunay Delaunay deleted the intel branch June 12, 2024 13:41
This was referenced Jun 12, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

2 participants