Workaround for OSS error. change staging.oneflow.info -> aliyuncs.com

[jackalcooper]

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View latest API docs preview at: https://oneflow-staging.oss-cn-beijing.aliyuncs.com/docs/Oneflow-Inc/oneflow/pr/10326/

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Speed stats:

GPU Name: NVIDIA GeForce RTX 3080 Ti 

❌ OneFlow resnet50 time: 43.7ms (= 4374.9ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 57.2ms (= 5723.0ms / 100, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.31 (= 57.2ms / 43.7ms)

OneFlow resnet50 time: 26.3ms (= 2631.6ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 37.6ms (= 3756.6ms / 100, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.43 (= 37.6ms / 26.3ms)

OneFlow resnet50 time: 19.4ms (= 3885.1ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 35.6ms (= 7114.8ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.83 (= 35.6ms / 19.4ms)

OneFlow resnet50 time: 19.8ms (= 3964.6ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 33.4ms (= 6673.4ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.68 (= 33.4ms / 19.8ms)

OneFlow resnet50 time: 18.9ms (= 3784.8ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 29.7ms (= 5945.2ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 1.57 (= 29.7ms / 18.9ms)

OneFlow swin dataloader time: 0.202s (= 40.317s / 200, num_workers=1)
PyTorch swin dataloader time: 0.129s (= 25.844s / 200, num_workers=1)
Relative speed: 0.641 (= 0.129s / 0.202s)

OneFlow swin dataloader time: 0.054s (= 10.838s / 200, num_workers=4)
PyTorch swin dataloader time: 0.033s (= 6.687s / 200, num_workers=4)
Relative speed: 0.617 (= 0.033s / 0.054s)

OneFlow swin dataloader time: 0.030s (= 5.963s / 200, num_workers=8)
PyTorch swin dataloader time: 0.016s (= 3.298s / 200, num_workers=8)
Relative speed: 0.553 (= 0.016s / 0.030s)

❌ OneFlow resnet50 time: 47.8ms (= 4779.1ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 65.3ms (= 6527.1ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.37 (= 65.3ms / 47.8ms)

OneFlow resnet50 time: 31.6ms (= 3156.2ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 44.8ms (= 4480.9ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.42 (= 44.8ms / 31.6ms)

OneFlow resnet50 time: 24.1ms (= 4814.3ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 42.1ms (= 8423.0ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.75 (= 42.1ms / 24.1ms)

OneFlow resnet50 time: 21.7ms (= 4337.3ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 36.6ms (= 7318.3ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.69 (= 36.6ms / 21.7ms)

OneFlow resnet50 time: 21.5ms (= 4309.8ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 34.1ms (= 6821.6ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.58 (= 34.1ms / 21.5ms)