fix python arg parser error report

[hjchen2]

No description provided.

[github-actions]

View latest API docs preview at: https://staging.oneflow.info/docs/Oneflow-Inc/oneflow/pr/8205/

[github-actions]

Speed stats:

GPU Name: NVIDIA GeForce GTX 1080 

❌ OneFlow resnet50 time: 129.1ms (= 12906.0ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 140.7ms (= 14074.1ms / 100, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.09 (= 140.7ms / 129.1ms)

OneFlow resnet50 time: 78.8ms (= 7884.2ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 84.5ms (= 8453.6ms / 100, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.07 (= 84.5ms / 78.8ms)

OneFlow resnet50 time: 53.0ms (= 10598.6ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 59.0ms (= 11797.6ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.11 (= 59.0ms / 53.0ms)

OneFlow resnet50 time: 43.3ms (= 8659.1ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 51.3ms (= 10257.8ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.18 (= 51.3ms / 43.3ms)

OneFlow resnet50 time: 34.7ms (= 6939.9ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 46.1ms (= 9217.1ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 1.33 (= 46.1ms / 34.7ms)

OneFlow swin dataloader time: 0.252s (= 50.489s / 200, num_workers=1)
PyTorch swin dataloader time: 0.154s (= 30.738s / 200, num_workers=1)
Relative speed: 0.609 (= 0.154s / 0.252s)

OneFlow swin dataloader time: 0.066s (= 13.268s / 200, num_workers=4)
PyTorch swin dataloader time: 0.041s (= 8.269s / 200, num_workers=4)
Relative speed: 0.623 (= 0.041s / 0.066s)

OneFlow swin dataloader time: 0.036s (= 7.178s / 200, num_workers=8)
PyTorch swin dataloader time: 0.023s (= 4.506s / 200, num_workers=8)
Relative speed: 0.628 (= 0.023s / 0.036s)

❌ OneFlow resnet50 time: 145.4ms (= 14540.9ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 168.1ms (= 16814.0ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.16 (= 168.1ms / 145.4ms)

OneFlow resnet50 time: 97.3ms (= 9726.3ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 110.9ms (= 11086.5ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.14 (= 110.9ms / 97.3ms)

OneFlow resnet50 time: 75.9ms (= 15170.1ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 88.0ms (= 17603.8ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
❌ Relative speed: 1.16 (= 88.0ms / 75.9ms)

OneFlow resnet50 time: 63.5ms (= 12698.4ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 73.1ms (= 14621.6ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
❌ Relative speed: 1.15 (= 73.1ms / 63.5ms)

OneFlow resnet50 time: 57.2ms (= 11437.4ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 78.8ms (= 15767.3ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.38 (= 78.8ms / 57.2ms)

[github-actions]

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

[github-actions]

View latest API docs preview at: https://staging.oneflow.info/docs/Oneflow-Inc/oneflow/pr/8205/

[github-actions]

Speed stats:

GPU Name: NVIDIA GeForce GTX 1080 

✔️ OneFlow resnet50 time: 129.0ms (= 12897.8ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 149.5ms (= 14953.1ms / 100, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.16 (= 149.5ms / 129.0ms)

OneFlow resnet50 time: 83.0ms (= 8300.9ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 85.2ms (= 8523.8ms / 100, input_shape=[8, 3, 224, 224])
❌ Relative speed: 1.03 (= 85.2ms / 83.0ms)

OneFlow resnet50 time: 52.2ms (= 10449.1ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 64.4ms (= 12879.7ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.23 (= 64.4ms / 52.2ms)

OneFlow resnet50 time: 41.5ms (= 8309.7ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 48.2ms (= 9647.9ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.16 (= 48.2ms / 41.5ms)

OneFlow resnet50 time: 36.6ms (= 7312.0ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 39.5ms (= 7908.7ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 1.08 (= 39.5ms / 36.6ms)

OneFlow swin dataloader time: 0.254s (= 50.745s / 200, num_workers=1)
PyTorch swin dataloader time: 0.150s (= 30.096s / 200, num_workers=1)
Relative speed: 0.593 (= 0.150s / 0.254s)

OneFlow swin dataloader time: 0.066s (= 13.198s / 200, num_workers=4)
PyTorch swin dataloader time: 0.042s (= 8.489s / 200, num_workers=4)
Relative speed: 0.643 (= 0.042s / 0.066s)

OneFlow swin dataloader time: 0.039s (= 7.733s / 200, num_workers=8)
PyTorch swin dataloader time: 0.022s (= 4.374s / 200, num_workers=8)
Relative speed: 0.566 (= 0.022s / 0.039s)

❌ OneFlow resnet50 time: 146.2ms (= 14622.6ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 172.0ms (= 17198.0ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.18 (= 172.0ms / 146.2ms)

OneFlow resnet50 time: 100.7ms (= 10069.5ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 110.8ms (= 11078.8ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.10 (= 110.8ms / 100.7ms)

OneFlow resnet50 time: 76.9ms (= 15383.5ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 88.7ms (= 17730.4ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
❌ Relative speed: 1.15 (= 88.7ms / 76.9ms)

OneFlow resnet50 time: 58.7ms (= 11740.4ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 74.4ms (= 14877.9ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.27 (= 74.4ms / 58.7ms)

OneFlow resnet50 time: 59.9ms (= 11981.5ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 69.4ms (= 13879.5ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.16 (= 69.4ms / 59.9ms)