rnn test #6165

xiezipeng-ML · 2021-09-06T03:34:54Z

rnn test

…o rnn_test

github-actions · 2021-09-06T16:44:37Z

Speed stats:

GPU Name: GeForce GTX 1080 

OneFlow resnet50 time: 128.1ms (= 6405.7ms / 50, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 139.9ms (= 6992.8ms / 50, input_shape=[16, 3, 224, 224])
Relative speed: 1.09 (= 139.9ms / 128.1ms)

OneFlow resnet50 time: 74.5ms (= 3726.6ms / 50, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 84.9ms (= 4245.4ms / 50, input_shape=[8, 3, 224, 224])
Relative speed: 1.14 (= 84.9ms / 74.5ms)

OneFlow resnet50 time: 49.5ms (= 2475.4ms / 50, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 59.7ms (= 2982.5ms / 50, input_shape=[4, 3, 224, 224])
Relative speed: 1.20 (= 59.7ms / 49.5ms)

OneFlow resnet50 time: 40.2ms (= 2008.4ms / 50, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 46.2ms (= 2310.3ms / 50, input_shape=[2, 3, 224, 224])
Relative speed: 1.15 (= 46.2ms / 40.2ms)

OneFlow resnet50 time: 42.1ms (= 2105.4ms / 50, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 42.6ms (= 2127.9ms / 50, input_shape=[1, 3, 224, 224])
Relative speed: 1.01 (= 42.6ms / 42.1ms)

OneFlow resnet50 time: 142.5ms (= 7125.7ms / 50, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 159.6ms (= 7980.9ms / 50, input_shape=[16, 3, 224, 224], ddp, world size=2)
Relative speed: 1.12 (= 159.6ms / 142.5ms)

OneFlow resnet50 time: 91.4ms (= 4570.6ms / 50, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 102.5ms (= 5126.4ms / 50, input_shape=[8, 3, 224, 224], ddp, world size=2)
Relative speed: 1.12 (= 102.5ms / 91.4ms)

OneFlow resnet50 time: 69.6ms (= 3480.7ms / 50, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 81.8ms (= 4092.3ms / 50, input_shape=[4, 3, 224, 224], ddp, world size=2)
Relative speed: 1.18 (= 81.8ms / 69.6ms)

OneFlow resnet50 time: 66.1ms (= 3306.6ms / 50, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 72.3ms (= 3614.0ms / 50, input_shape=[2, 3, 224, 224], ddp, world size=2)
Relative speed: 1.09 (= 72.3ms / 66.1ms)

OneFlow resnet50 time: 63.0ms (= 3148.5ms / 50, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 60.7ms (= 3036.5ms / 50, input_shape=[1, 3, 224, 224], ddp, world size=2)
Relative speed: 0.96 (= 60.7ms / 63.0ms)

github-actions · 2021-09-07T03:34:09Z

Speed stats:

GPU Name: GeForce GTX 1080 

OneFlow resnet50 time: 127.9ms (= 6397.3ms / 50, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 143.9ms (= 7196.2ms / 50, input_shape=[16, 3, 224, 224])
Relative speed: 1.12 (= 143.9ms / 127.9ms)

OneFlow resnet50 time: 74.4ms (= 3721.2ms / 50, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 84.9ms (= 4243.6ms / 50, input_shape=[8, 3, 224, 224])
Relative speed: 1.14 (= 84.9ms / 74.4ms)

OneFlow resnet50 time: 48.2ms (= 2409.4ms / 50, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 58.5ms (= 2922.7ms / 50, input_shape=[4, 3, 224, 224])
Relative speed: 1.21 (= 58.5ms / 48.2ms)

OneFlow resnet50 time: 43.4ms (= 2168.2ms / 50, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 47.5ms (= 2375.6ms / 50, input_shape=[2, 3, 224, 224])
Relative speed: 1.10 (= 47.5ms / 43.4ms)

OneFlow resnet50 time: 38.2ms (= 1909.8ms / 50, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 43.2ms (= 2160.0ms / 50, input_shape=[1, 3, 224, 224])
Relative speed: 1.13 (= 43.2ms / 38.2ms)

OneFlow resnet50 time: 142.9ms (= 7147.0ms / 50, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 162.4ms (= 8119.6ms / 50, input_shape=[16, 3, 224, 224], ddp, world size=2)
Relative speed: 1.14 (= 162.4ms / 142.9ms)

OneFlow resnet50 time: 90.5ms (= 4527.3ms / 50, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 110.2ms (= 5507.5ms / 50, input_shape=[8, 3, 224, 224], ddp, world size=2)
Relative speed: 1.22 (= 110.2ms / 90.5ms)

OneFlow resnet50 time: 72.8ms (= 3639.2ms / 50, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 73.5ms (= 3672.9ms / 50, input_shape=[4, 3, 224, 224], ddp, world size=2)
Relative speed: 1.01 (= 73.5ms / 72.8ms)

OneFlow resnet50 time: 69.5ms (= 3476.7ms / 50, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 63.6ms (= 3179.4ms / 50, input_shape=[2, 3, 224, 224], ddp, world size=2)
Relative speed: 0.91 (= 63.6ms / 69.5ms)

OneFlow resnet50 time: 65.1ms (= 3252.8ms / 50, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 64.5ms (= 3227.0ms / 50, input_shape=[1, 3, 224, 224], ddp, world size=2)
Relative speed: 0.99 (= 64.5ms / 65.1ms)

python/oneflow/nn/modules/rnn.py

python/oneflow/test/modules/test_rnn.py

…o rnn_test

github-actions · 2021-09-09T17:11:31Z

CI failed, removing label automerge

github-actions · 2021-09-10T02:13:14Z

Speed stats:

GPU Name: GeForce GTX 1080 

OneFlow resnet50 time: 128.0ms (= 6397.6ms / 50, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 140.0ms (= 7002.2ms / 50, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.09 (= 140.0ms / 128.0ms)

OneFlow resnet50 time: 74.1ms (= 3705.0ms / 50, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 85.2ms (= 4260.6ms / 50, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.15 (= 85.2ms / 74.1ms)

OneFlow resnet50 time: 47.8ms (= 2390.3ms / 50, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 59.8ms (= 2988.2ms / 50, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.25 (= 59.8ms / 47.8ms)

OneFlow resnet50 time: 41.3ms (= 2065.4ms / 50, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 49.5ms (= 2475.5ms / 50, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.20 (= 49.5ms / 41.3ms)

OneFlow resnet50 time: 37.0ms (= 1848.6ms / 50, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 45.1ms (= 2256.6ms / 50, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 1.22 (= 45.1ms / 37.0ms)

OneFlow resnet50 time: 154.3ms (= 7713.1ms / 50, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 157.2ms (= 7857.5ms / 50, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.02 (= 157.2ms / 154.3ms)

OneFlow resnet50 time: 100.5ms (= 5024.0ms / 50, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 97.6ms (= 4881.0ms / 50, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 0.97 (= 97.6ms / 100.5ms)

OneFlow resnet50 time: 81.1ms (= 4054.3ms / 50, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 74.8ms (= 3737.9ms / 50, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 0.92 (= 74.8ms / 81.1ms)

OneFlow resnet50 time: 77.0ms (= 3852.5ms / 50, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 71.6ms (= 3578.3ms / 50, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 0.93 (= 71.6ms / 77.0ms)

OneFlow resnet50 time: 75.6ms (= 3777.9ms / 50, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 63.0ms (= 3152.3ms / 50, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 0.83 (= 63.0ms / 75.6ms)

github-actions · 2021-09-10T02:45:30Z

Speed stats:

GPU Name: GeForce GTX 1080 

OneFlow resnet50 time: 127.8ms (= 6390.1ms / 50, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 148.5ms (= 7423.9ms / 50, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.16 (= 148.5ms / 127.8ms)

OneFlow resnet50 time: 74.4ms (= 3720.8ms / 50, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 85.0ms (= 4251.2ms / 50, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.14 (= 85.0ms / 74.4ms)

OneFlow resnet50 time: 51.2ms (= 2558.6ms / 50, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 60.4ms (= 3018.0ms / 50, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.18 (= 60.4ms / 51.2ms)

OneFlow resnet50 time: 49.2ms (= 2458.1ms / 50, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 53.6ms (= 2678.0ms / 50, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.09 (= 53.6ms / 49.2ms)

OneFlow resnet50 time: 44.2ms (= 2211.9ms / 50, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 54.4ms (= 2719.8ms / 50, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 1.23 (= 54.4ms / 44.2ms)

OneFlow resnet50 time: 153.9ms (= 7695.9ms / 50, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 183.8ms (= 9192.4ms / 50, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.19 (= 183.8ms / 153.9ms)

OneFlow resnet50 time: 102.3ms (= 5112.6ms / 50, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 126.6ms (= 6331.8ms / 50, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.24 (= 126.6ms / 102.3ms)

OneFlow resnet50 time: 79.3ms (= 3965.7ms / 50, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 102.6ms (= 5130.8ms / 50, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.29 (= 102.6ms / 79.3ms)

OneFlow resnet50 time: 76.7ms (= 3835.8ms / 50, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 91.8ms (= 4587.6ms / 50, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.20 (= 91.8ms / 76.7ms)

OneFlow resnet50 time: 77.4ms (= 3871.5ms / 50, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 64.3ms (= 3214.4ms / 50, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 0.83 (= 64.3ms / 77.4ms)

github-actions · 2021-09-10T03:17:03Z

Speed stats:

GPU Name: GeForce GTX 1080 

OneFlow resnet50 time: 127.7ms (= 6386.6ms / 50, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 138.5ms (= 6924.3ms / 50, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.08 (= 138.5ms / 127.7ms)

OneFlow resnet50 time: 74.2ms (= 3708.7ms / 50, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 82.2ms (= 4111.6ms / 50, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.11 (= 82.2ms / 74.2ms)

OneFlow resnet50 time: 50.0ms (= 2500.9ms / 50, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 60.9ms (= 3042.8ms / 50, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.22 (= 60.9ms / 50.0ms)

OneFlow resnet50 time: 40.3ms (= 2012.7ms / 50, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 44.9ms (= 2245.3ms / 50, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.12 (= 44.9ms / 40.3ms)

OneFlow resnet50 time: 42.4ms (= 2118.3ms / 50, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 43.3ms (= 2163.2ms / 50, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 1.02 (= 43.3ms / 42.4ms)

OneFlow resnet50 time: 151.9ms (= 7594.8ms / 50, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 156.9ms (= 7845.0ms / 50, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.03 (= 156.9ms / 151.9ms)

OneFlow resnet50 time: 96.9ms (= 4846.6ms / 50, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 154.9ms (= 7745.1ms / 50, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.60 (= 154.9ms / 96.9ms)

OneFlow resnet50 time: 170.0ms (= 8500.2ms / 50, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 150.1ms (= 7504.0ms / 50, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 0.88 (= 150.1ms / 170.0ms)

OneFlow resnet50 time: 112.2ms (= 5608.0ms / 50, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 121.4ms (= 6070.0ms / 50, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.08 (= 121.4ms / 112.2ms)

OneFlow resnet50 time: 73.8ms (= 3689.2ms / 50, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 62.2ms (= 3112.3ms / 50, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 0.84 (= 62.2ms / 73.8ms)

github-actions · 2021-09-10T05:12:07Z

Speed stats:

GPU Name: GeForce GTX 1080 

OneFlow resnet50 time: 128.1ms (= 6405.5ms / 50, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 140.7ms (= 7037.1ms / 50, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.10 (= 140.7ms / 128.1ms)

OneFlow resnet50 time: 74.4ms (= 3718.8ms / 50, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 86.2ms (= 4307.8ms / 50, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.16 (= 86.2ms / 74.4ms)

OneFlow resnet50 time: 47.8ms (= 2391.1ms / 50, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 59.5ms (= 2973.0ms / 50, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.24 (= 59.5ms / 47.8ms)

OneFlow resnet50 time: 40.9ms (= 2044.6ms / 50, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 49.0ms (= 2449.3ms / 50, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.20 (= 49.0ms / 40.9ms)

OneFlow resnet50 time: 46.6ms (= 2332.3ms / 50, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 40.9ms (= 2044.5ms / 50, input_shape=[1, 3, 224, 224])
❌ Relative speed: 0.88 (= 40.9ms / 46.6ms)

OneFlow resnet50 time: 156.4ms (= 7818.3ms / 50, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 158.8ms (= 7940.0ms / 50, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.02 (= 158.8ms / 156.4ms)

OneFlow resnet50 time: 102.2ms (= 5109.6ms / 50, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 97.6ms (= 4881.2ms / 50, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 0.96 (= 97.6ms / 102.2ms)

OneFlow resnet50 time: 80.9ms (= 4047.0ms / 50, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 81.1ms (= 4055.8ms / 50, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.00 (= 81.1ms / 80.9ms)

OneFlow resnet50 time: 73.6ms (= 3678.5ms / 50, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 65.9ms (= 3296.3ms / 50, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 0.90 (= 65.9ms / 73.6ms)

OneFlow resnet50 time: 80.9ms (= 4045.6ms / 50, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 73.9ms (= 3694.9ms / 50, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 0.91 (= 73.9ms / 80.9ms)

wyg1997 · 2022-02-08T09:09:59Z

这个文档是不是没有导出，好像 PR 中也没有贴文档截图？

rnn test

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xiezipeng-ML added enhancement feature op python labels Sep 6, 2021

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Update __init__.py

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xiezipeng-ML added 2 commits September 6, 2021 23:02

refix the rnn doctest

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Merge branch 'master' into rnn_test

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Update rnn.py

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Merge branch 'master' into rnn_test

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OneFlow 算子对齐 PyTorch 完备计划推进表 #4936

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rnn test #6165

rnn test #6165

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wyg1997 commented Feb 8, 2022

rnn test #6165

rnn test #6165

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