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kolinwei avatar kolinwei commented on June 11, 2024

Environment：Tesla P40 cuda version：384.66

resnet50:

kpi min max mean median std （std/mean）*100%
cifar10_128_gpu_memory 923 953 950 953 9 0.947%
cifar10_128_train_acc 0.960 0.999 0.9837 0.9847 0.011 1.2%
cifar10_128_train_speed 548.5 559.5 553.6 553.5 3.519 0.635%
flowers_64_gpu_memory 5037 5541 5330 5441 189.98 3.564%
flowers_64_train_speed 52.59 53.57 53.23 53.33 0.286 0.537%

resnet30

kpi min max mean median std （std/mean）*100%
train_cost 2.41 2.58 2.51 2.52 0.051 2.0%
train_duration 34.52 36.23 34.74 34.57 0.498 1.43%

minst

kpi min max mean median std （std/mean）*100%
test_acc 0.9853 0.9884 0.9873 0.9874 0.0009 0.09%
train_acc 0.9925 0.9934 0.9930 0.9931 0.0003 0.03%
train_duration 54.05 54.69 54.36 54.34 0.022 0.4%

LSTM

kpi min max mean median std （std/mean）*100%
imdb_32_train_speed 538.029 639.594 583.233 582.637 29.726 5.1%
imdb_32_gpu_memory 443 475 459 461 8.78 1.9%

VGG16

kpi min max mean median std （std/mean）*100%
cifar10_128_train_speed 512.9 530.4 524.3 525.2 5.73 1.1%
cifar10_128_gpu_memory 1185 1185 1185 1185 0 0.0%
flowers_32_train_speed 26.26 26.76 26.56 26.60 0.183 0.68%
flowers_32_gpu_memory 4289 4443 4309 4289 46.96 1.1%

Seq2Seq

kpi min max mean median std （std/mean）*100%
wmb_128_train_speed 2685.27 2772.89 2724.99 2729.39 26.84 0.98%
wmb_128_gpu_memory 1703 1893 1804 1794 60.56 3.3%

from paddle-ce-latest-kpis.

Superjomn avatar Superjomn commented on June 11, 2024

If we limit the std/mean threshold to 2%, it seems that most factors are not stable. So can we withdraw the unstable tasks first, and add them later after some fix.

from paddle-ce-latest-kpis.

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