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Add fill test #8118

Merged
merged 42 commits into from
May 11, 2022
Merged

Add fill test #8118

merged 42 commits into from
May 11, 2022

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ShawnXuan
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@ShawnXuan ShawnXuan marked this pull request as ready for review May 6, 2022 08:45
@ShawnXuan ShawnXuan requested a review from liujuncheng as a code owner May 6, 2022 08:45
@ShawnXuan ShawnXuan requested a review from guo-ran May 6, 2022 10:48
@ShawnXuan ShawnXuan changed the title Dev fill 1hot test Add fill test May 6, 2022
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github-actions bot commented May 9, 2022

View latest API docs preview at: https://staging.oneflow.info/docs/Oneflow-Inc/oneflow/pr/8118/

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github-actions bot commented May 9, 2022

CI failed when running job: cpu-misc. PR label automerge has been removed

@github-actions github-actions bot removed the automerge label May 9, 2022
@oneflow-ci-bot oneflow-ci-bot requested review from oneflow-ci-bot and removed request for oneflow-ci-bot May 9, 2022 19:47
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github-actions bot commented May 9, 2022

View latest API docs preview at: https://staging.oneflow.info/docs/Oneflow-Inc/oneflow/pr/8118/

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github-actions bot commented May 9, 2022

Speed stats:
GPU Name: NVIDIA GeForce GTX 1080 

❌ OneFlow resnet50 time: 129.4ms (= 12938.3ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 143.3ms (= 14334.9ms / 100, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.11 (= 143.3ms / 129.4ms)

OneFlow resnet50 time: 77.5ms (= 7750.1ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 85.7ms (= 8570.8ms / 100, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.11 (= 85.7ms / 77.5ms)

OneFlow resnet50 time: 54.1ms (= 10826.7ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 57.9ms (= 11585.3ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.07 (= 57.9ms / 54.1ms)

OneFlow resnet50 time: 42.7ms (= 8537.6ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 44.3ms (= 8852.3ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.04 (= 44.3ms / 42.7ms)

OneFlow resnet50 time: 37.9ms (= 7586.8ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 38.8ms (= 7766.5ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 1.02 (= 38.8ms / 37.9ms)

OneFlow swin dataloader time: 0.258s (= 51.679s / 200, num_workers=1)
PyTorch swin dataloader time: 0.151s (= 30.226s / 200, num_workers=1)
Relative speed: 0.585 (= 0.151s / 0.258s)

OneFlow swin dataloader time: 0.069s (= 13.712s / 200, num_workers=4)
PyTorch swin dataloader time: 0.044s (= 8.776s / 200, num_workers=4)
Relative speed: 0.640 (= 0.044s / 0.069s)

OneFlow swin dataloader time: 0.036s (= 7.209s / 200, num_workers=8)
PyTorch swin dataloader time: 0.022s (= 4.423s / 200, num_workers=8)
Relative speed: 0.614 (= 0.022s / 0.036s)

❌ OneFlow resnet50 time: 145.2ms (= 14518.3ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 167.8ms (= 16782.6ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.16 (= 167.8ms / 145.2ms)

OneFlow resnet50 time: 100.9ms (= 10090.2ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 113.1ms (= 11314.3ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.12 (= 113.1ms / 100.9ms)

OneFlow resnet50 time: 74.5ms (= 14895.0ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 87.3ms (= 17454.7ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
❌ Relative speed: 1.17 (= 87.3ms / 74.5ms)

OneFlow resnet50 time: 62.0ms (= 12403.2ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 74.6ms (= 14922.8ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.20 (= 74.6ms / 62.0ms)

OneFlow resnet50 time: 56.7ms (= 11345.1ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 78.5ms (= 15703.2ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.38 (= 78.5ms / 56.7ms)

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CI failed when running job: cpu-module. PR label automerge has been removed

@github-actions github-actions bot removed the automerge label May 9, 2022
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View latest API docs preview at: https://staging.oneflow.info/docs/Oneflow-Inc/oneflow/pr/8118/

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Speed stats:
GPU Name: NVIDIA GeForce GTX 1080 

❌ OneFlow resnet50 time: 129.3ms (= 12933.3ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 142.6ms (= 14257.7ms / 100, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.10 (= 142.6ms / 129.3ms)

OneFlow resnet50 time: 84.1ms (= 8412.1ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 86.5ms (= 8645.8ms / 100, input_shape=[8, 3, 224, 224])
❌ Relative speed: 1.03 (= 86.5ms / 84.1ms)

OneFlow resnet50 time: 54.0ms (= 10797.1ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 62.3ms (= 12466.2ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.15 (= 62.3ms / 54.0ms)

OneFlow resnet50 time: 44.7ms (= 8946.8ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 42.6ms (= 8516.4ms / 200, input_shape=[2, 3, 224, 224])
❌ Relative speed: 0.95 (= 42.6ms / 44.7ms)

OneFlow resnet50 time: 40.6ms (= 8126.1ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 39.3ms (= 7860.3ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 0.97 (= 39.3ms / 40.6ms)

OneFlow swin dataloader time: 0.259s (= 51.867s / 200, num_workers=1)
PyTorch swin dataloader time: 0.151s (= 30.211s / 200, num_workers=1)
Relative speed: 0.582 (= 0.151s / 0.259s)

OneFlow swin dataloader time: 0.069s (= 13.756s / 200, num_workers=4)
PyTorch swin dataloader time: 0.042s (= 8.455s / 200, num_workers=4)
Relative speed: 0.615 (= 0.042s / 0.069s)

OneFlow swin dataloader time: 0.060s (= 11.910s / 200, num_workers=8)
PyTorch swin dataloader time: 0.024s (= 4.769s / 200, num_workers=8)
Relative speed: 0.400 (= 0.024s / 0.060s)

❌ OneFlow resnet50 time: 145.4ms (= 14542.1ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 169.1ms (= 16907.9ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.16 (= 169.1ms / 145.4ms)

OneFlow resnet50 time: 99.4ms (= 9942.1ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 112.5ms (= 11245.3ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.13 (= 112.5ms / 99.4ms)

OneFlow resnet50 time: 75.1ms (= 15011.6ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 88.6ms (= 17719.8ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.18 (= 88.6ms / 75.1ms)

OneFlow resnet50 time: 63.5ms (= 12695.5ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 72.9ms (= 14570.2ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
❌ Relative speed: 1.15 (= 72.9ms / 63.5ms)

OneFlow resnet50 time: 54.6ms (= 10924.0ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 78.8ms (= 15751.0ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.44 (= 78.8ms / 54.6ms)

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View latest API docs preview at: https://staging.oneflow.info/docs/Oneflow-Inc/oneflow/pr/8118/

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Speed stats:
GPU Name: NVIDIA GeForce GTX 1080 

❌ OneFlow resnet50 time: 129.2ms (= 12919.2ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 142.7ms (= 14268.9ms / 100, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.10 (= 142.7ms / 129.2ms)

OneFlow resnet50 time: 84.1ms (= 8411.8ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 84.4ms (= 8436.3ms / 100, input_shape=[8, 3, 224, 224])
❌ Relative speed: 1.00 (= 84.4ms / 84.1ms)

OneFlow resnet50 time: 54.4ms (= 10872.2ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 58.9ms (= 11781.1ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.08 (= 58.9ms / 54.4ms)

OneFlow resnet50 time: 41.8ms (= 8351.2ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 39.8ms (= 7950.6ms / 200, input_shape=[2, 3, 224, 224])
❌ Relative speed: 0.95 (= 39.8ms / 41.8ms)

OneFlow resnet50 time: 39.5ms (= 7901.6ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 34.6ms (= 6920.4ms / 200, input_shape=[1, 3, 224, 224])
❌ Relative speed: 0.88 (= 34.6ms / 39.5ms)

OneFlow swin dataloader time: 0.259s (= 51.764s / 200, num_workers=1)
PyTorch swin dataloader time: 0.151s (= 30.123s / 200, num_workers=1)
Relative speed: 0.582 (= 0.151s / 0.259s)

OneFlow swin dataloader time: 0.069s (= 13.791s / 200, num_workers=4)
PyTorch swin dataloader time: 0.042s (= 8.481s / 200, num_workers=4)
Relative speed: 0.615 (= 0.042s / 0.069s)

OneFlow swin dataloader time: 0.059s (= 11.765s / 200, num_workers=8)
PyTorch swin dataloader time: 0.023s (= 4.538s / 200, num_workers=8)
Relative speed: 0.386 (= 0.023s / 0.059s)

❌ OneFlow resnet50 time: 144.8ms (= 14479.4ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 168.2ms (= 16815.8ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.16 (= 168.2ms / 144.8ms)

OneFlow resnet50 time: 96.3ms (= 9628.3ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 111.2ms (= 11118.1ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.15 (= 111.2ms / 96.3ms)

OneFlow resnet50 time: 78.3ms (= 15659.3ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 88.4ms (= 17675.0ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
❌ Relative speed: 1.13 (= 88.4ms / 78.3ms)

OneFlow resnet50 time: 64.7ms (= 12939.0ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 76.7ms (= 15332.6ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.18 (= 76.7ms / 64.7ms)

OneFlow resnet50 time: 56.1ms (= 11223.1ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 69.2ms (= 13830.3ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.23 (= 69.2ms / 56.1ms)

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View latest API docs preview at: https://staging.oneflow.info/docs/Oneflow-Inc/oneflow/pr/8118/

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Speed stats:
GPU Name: NVIDIA GeForce GTX 1080 

❌ OneFlow resnet50 time: 129.1ms (= 12912.0ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 142.7ms (= 14274.6ms / 100, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.11 (= 142.7ms / 129.1ms)

OneFlow resnet50 time: 81.6ms (= 8155.1ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 83.4ms (= 8342.2ms / 100, input_shape=[8, 3, 224, 224])
❌ Relative speed: 1.02 (= 83.4ms / 81.6ms)

OneFlow resnet50 time: 54.5ms (= 10903.2ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 56.9ms (= 11373.8ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.04 (= 56.9ms / 54.5ms)

OneFlow resnet50 time: 41.5ms (= 8306.0ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 40.9ms (= 8173.5ms / 200, input_shape=[2, 3, 224, 224])
❌ Relative speed: 0.98 (= 40.9ms / 41.5ms)

OneFlow resnet50 time: 36.6ms (= 7310.8ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 42.1ms (= 8427.6ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 1.15 (= 42.1ms / 36.6ms)

OneFlow swin dataloader time: 0.258s (= 51.516s / 200, num_workers=1)
PyTorch swin dataloader time: 0.150s (= 30.092s / 200, num_workers=1)
Relative speed: 0.584 (= 0.150s / 0.258s)

OneFlow swin dataloader time: 0.114s (= 22.805s / 200, num_workers=4)
PyTorch swin dataloader time: 0.042s (= 8.425s / 200, num_workers=4)
Relative speed: 0.369 (= 0.042s / 0.114s)

OneFlow swin dataloader time: 0.036s (= 7.263s / 200, num_workers=8)
PyTorch swin dataloader time: 0.022s (= 4.409s / 200, num_workers=8)
Relative speed: 0.607 (= 0.022s / 0.036s)

❌ OneFlow resnet50 time: 145.6ms (= 14558.4ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 169.0ms (= 16903.4ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.16 (= 169.0ms / 145.6ms)

OneFlow resnet50 time: 98.9ms (= 9892.1ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 119.3ms (= 11933.5ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.21 (= 119.3ms / 98.9ms)

OneFlow resnet50 time: 76.9ms (= 15374.8ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 88.4ms (= 17671.4ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
❌ Relative speed: 1.15 (= 88.4ms / 76.9ms)

OneFlow resnet50 time: 62.7ms (= 12531.4ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 74.9ms (= 14985.9ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.20 (= 74.9ms / 62.7ms)

OneFlow resnet50 time: 55.8ms (= 11150.4ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 68.9ms (= 13789.4ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.24 (= 68.9ms / 55.8ms)

@ShawnXuan ShawnXuan merged commit fa1d9b8 into master May 11, 2022
@ShawnXuan ShawnXuan deleted the dev_fill_1hot_test branch May 11, 2022 08:51
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