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add more vision model compatibility tests #7942

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merged 57 commits into from
Apr 15, 2022

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Ldpe2G
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@Ldpe2G Ldpe2G commented Apr 1, 2022

添加的模型:

修复不兼容的接口

  • conv2d module padding 参数不支持 string
  • functional.layer_norm 参数列表没对齐
  • meshgrid 不支持 list[tensor] 输入
  • 添加 tensor.reshape_as 接口

@Ldpe2G Ldpe2G requested a review from oneflow-ci-bot April 1, 2022 01:30
@Ldpe2G Ldpe2G requested review from oneflow-ci-bot and removed request for jackalcooper, daquexian and oneflow-ci-bot April 1, 2022 10:14
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github-actions bot commented Apr 1, 2022

Code got formatted by CI. Please request CI again if you still want to have this PR merged. If the PR is from a forked repo, please download the patch files from the GitHub Actions web page and apply them locally.

@Ldpe2G Ldpe2G requested review from oneflow-ci-bot and removed request for oneflow-ci-bot April 1, 2022 10:20
@Ldpe2G Ldpe2G requested review from oneflow-ci-bot and removed request for oneflow-ci-bot April 1, 2022 15:03
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View latest API docs preview at: https://staging.oneflow.info/docs/Oneflow-Inc/oneflow/pr/7942/

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Speed stats:
GPU Name: GeForce GTX 1080 

✔️ OneFlow resnet50 time: 128.7ms (= 12874.0ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 140.8ms (= 14082.5ms / 100, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.09 (= 140.8ms / 128.7ms)

OneFlow resnet50 time: 77.3ms (= 7725.0ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 83.4ms (= 8344.3ms / 100, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.08 (= 83.4ms / 77.3ms)

OneFlow resnet50 time: 53.0ms (= 10607.1ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 57.6ms (= 11520.0ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.09 (= 57.6ms / 53.0ms)

OneFlow resnet50 time: 43.6ms (= 8726.0ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 43.2ms (= 8643.8ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 0.99 (= 43.2ms / 43.6ms)

OneFlow resnet50 time: 39.2ms (= 7836.4ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 43.3ms (= 8653.1ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 1.10 (= 43.3ms / 39.2ms)

OneFlow swin dataloader time: 0.246s (= 49.239s / 200, num_workers=1)
PyTorch swin dataloader time: 0.249s (= 49.856s / 200, num_workers=1)
✔️ Relative speed: 1.013 (= 0.249s / 0.246s)

OneFlow swin dataloader time: 0.065s (= 12.954s / 200, num_workers=4)
PyTorch swin dataloader time: 0.068s (= 13.501s / 200, num_workers=4)
✔️ Relative speed: 1.042 (= 0.068s / 0.065s)

OneFlow swin dataloader time: 0.036s (= 7.263s / 200, num_workers=8)
PyTorch swin dataloader time: 0.036s (= 7.213s / 200, num_workers=8)
✔️ Relative speed: 0.993 (= 0.036s / 0.036s)

✔️ OneFlow resnet50 time: 135.2ms (= 13519.2ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 156.0ms (= 15598.8ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.15 (= 156.0ms / 135.2ms)

OneFlow resnet50 time: 86.9ms (= 8690.9ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 98.6ms (= 9855.7ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.13 (= 98.6ms / 86.9ms)

OneFlow resnet50 time: 62.6ms (= 12520.6ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 75.2ms (= 15049.6ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.20 (= 75.2ms / 62.6ms)

OneFlow resnet50 time: 57.0ms (= 11399.6ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 65.3ms (= 13067.0ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
❌ Relative speed: 1.15 (= 65.3ms / 57.0ms)

OneFlow resnet50 time: 51.2ms (= 10244.3ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 61.1ms (= 12213.1ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.19 (= 61.1ms / 51.2ms)

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CI failed when running job: cuda-speed-test. PR label automerge has been removed

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View latest API docs preview at: https://staging.oneflow.info/docs/Oneflow-Inc/oneflow/pr/7942/

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View latest API docs preview at: https://staging.oneflow.info/docs/Oneflow-Inc/oneflow/pr/7942/

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Speed stats:

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Speed stats:
GPU Name: GeForce GTX 1080 

✔️ OneFlow resnet50 time: 128.8ms (= 12884.5ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 137.7ms (= 13771.4ms / 100, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.07 (= 137.7ms / 128.8ms)

OneFlow resnet50 time: 82.7ms (= 8274.4ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 83.7ms (= 8370.6ms / 100, input_shape=[8, 3, 224, 224])
❌ Relative speed: 1.01 (= 83.7ms / 82.7ms)

OneFlow resnet50 time: 51.3ms (= 10269.5ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 53.8ms (= 10757.9ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.05 (= 53.8ms / 51.3ms)

OneFlow resnet50 time: 41.5ms (= 8298.9ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 48.3ms (= 9668.8ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.17 (= 48.3ms / 41.5ms)

OneFlow resnet50 time: 39.7ms (= 7948.6ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 38.3ms (= 7657.6ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 0.96 (= 38.3ms / 39.7ms)

OneFlow swin dataloader time: 0.249s (= 49.802s / 200, num_workers=1)
PyTorch swin dataloader time: 0.252s (= 50.392s / 200, num_workers=1)
✔️ Relative speed: 1.012 (= 0.252s / 0.249s)

OneFlow swin dataloader time: 0.069s (= 13.727s / 200, num_workers=4)
PyTorch swin dataloader time: 0.069s (= 13.760s / 200, num_workers=4)
✔️ Relative speed: 1.002 (= 0.069s / 0.069s)

OneFlow swin dataloader time: 0.037s (= 7.493s / 200, num_workers=8)
PyTorch swin dataloader time: 0.037s (= 7.360s / 200, num_workers=8)
✔️ Relative speed: 0.982 (= 0.037s / 0.037s)

✔️ OneFlow resnet50 time: 135.3ms (= 13531.3ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 156.3ms (= 15629.7ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.16 (= 156.3ms / 135.3ms)

OneFlow resnet50 time: 86.9ms (= 8693.9ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 106.0ms (= 10604.9ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.22 (= 106.0ms / 86.9ms)

OneFlow resnet50 time: 62.2ms (= 12443.2ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 76.0ms (= 15192.0ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.22 (= 76.0ms / 62.2ms)

OneFlow resnet50 time: 53.1ms (= 10611.8ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 66.8ms (= 13350.0ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.26 (= 66.8ms / 53.1ms)

OneFlow resnet50 time: 50.3ms (= 10066.8ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 61.2ms (= 12240.2ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.22 (= 61.2ms / 50.3ms)

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CI failed when running job: cuda-speed-test. PR label automerge has been removed

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Speed stats:
GPU Name: GeForce GTX 1080 

✔️ OneFlow resnet50 time: 128.6ms (= 12860.7ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 144.9ms (= 14485.6ms / 100, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.13 (= 144.9ms / 128.6ms)

OneFlow resnet50 time: 80.7ms (= 8074.4ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 86.4ms (= 8635.4ms / 100, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.07 (= 86.4ms / 80.7ms)

OneFlow resnet50 time: 54.8ms (= 10969.5ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 58.1ms (= 11623.0ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.06 (= 58.1ms / 54.8ms)

OneFlow resnet50 time: 44.9ms (= 8987.5ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 50.2ms (= 10047.1ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.12 (= 50.2ms / 44.9ms)

OneFlow resnet50 time: 40.2ms (= 8048.3ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 39.4ms (= 7882.0ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 0.98 (= 39.4ms / 40.2ms)

OneFlow swin dataloader time: 0.254s (= 50.732s / 200, num_workers=1)
PyTorch swin dataloader time: 0.251s (= 50.137s / 200, num_workers=1)
✔️ Relative speed: 0.988 (= 0.251s / 0.254s)

OneFlow swin dataloader time: 0.069s (= 13.701s / 200, num_workers=4)
PyTorch swin dataloader time: 0.074s (= 14.716s / 200, num_workers=4)
✔️ Relative speed: 1.074 (= 0.074s / 0.069s)

OneFlow swin dataloader time: 0.037s (= 7.428s / 200, num_workers=8)
PyTorch swin dataloader time: 0.037s (= 7.305s / 200, num_workers=8)
✔️ Relative speed: 0.983 (= 0.037s / 0.037s)

✔️ OneFlow resnet50 time: 136.1ms (= 13613.9ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 156.5ms (= 15646.8ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.15 (= 156.5ms / 136.1ms)

OneFlow resnet50 time: 89.4ms (= 8941.8ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 102.9ms (= 10288.0ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.15 (= 102.9ms / 89.4ms)

OneFlow resnet50 time: 62.4ms (= 12475.3ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 76.8ms (= 15354.5ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.23 (= 76.8ms / 62.4ms)

OneFlow resnet50 time: 53.2ms (= 10636.7ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 67.4ms (= 13485.3ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.27 (= 67.4ms / 53.2ms)

OneFlow resnet50 time: 48.0ms (= 9609.3ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 61.6ms (= 12328.6ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.28 (= 61.6ms / 48.0ms)

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View latest API docs preview at: https://staging.oneflow.info/docs/Oneflow-Inc/oneflow/pr/7942/

@jackalcooper jackalcooper merged commit 39cd242 into master Apr 15, 2022
@jackalcooper jackalcooper deleted the dev_add_vision_model_compatiblity_tests branch April 15, 2022 07:58
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