Update nigthly whl version

[mosout]

No description provided.

[github-actions]

View latest API docs preview at: https://oneflow-staging.oss-cn-beijing.aliyuncs.com/docs/Oneflow-Inc/oneflow/pr/10528/

[github-actions]

Speed stats:

GPU Name: NVIDIA GeForce RTX 3080 Ti 

❌ OneFlow resnet50 time: 43.4ms (= 4337.9ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 57.5ms (= 5745.8ms / 100, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.32 (= 57.5ms / 43.4ms)

OneFlow resnet50 time: 26.4ms (= 2643.5ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 37.7ms (= 3768.4ms / 100, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.43 (= 37.7ms / 26.4ms)

OneFlow resnet50 time: 18.3ms (= 3660.7ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 36.6ms (= 7325.5ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 2.00 (= 36.6ms / 18.3ms)

OneFlow resnet50 time: 17.0ms (= 3409.5ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 31.4ms (= 6274.4ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.84 (= 31.4ms / 17.0ms)

OneFlow resnet50 time: 16.5ms (= 3299.0ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 31.6ms (= 6313.5ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 1.91 (= 31.6ms / 16.5ms)

OneFlow swin dataloader time: 0.201s (= 40.169s / 200, num_workers=1)
PyTorch swin dataloader time: 0.128s (= 25.584s / 200, num_workers=1)
Relative speed: 0.637 (= 0.128s / 0.201s)

OneFlow swin dataloader time: 0.054s (= 10.803s / 200, num_workers=4)
PyTorch swin dataloader time: 0.033s (= 6.529s / 200, num_workers=4)
Relative speed: 0.604 (= 0.033s / 0.054s)

OneFlow swin dataloader time: 0.029s (= 5.743s / 200, num_workers=8)
PyTorch swin dataloader time: 0.016s (= 3.257s / 200, num_workers=8)
Relative speed: 0.567 (= 0.016s / 0.029s)

❌ OneFlow resnet50 time: 49.2ms (= 4920.9ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 65.7ms (= 6572.8ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.34 (= 65.7ms / 49.2ms)

OneFlow resnet50 time: 36.7ms (= 3670.7ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 47.8ms (= 4783.3ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.30 (= 47.8ms / 36.7ms)

OneFlow resnet50 time: 27.7ms (= 5548.2ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 42.6ms (= 8513.5ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.53 (= 42.6ms / 27.7ms)

OneFlow resnet50 time: 25.1ms (= 5025.5ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 39.0ms (= 7808.5ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.55 (= 39.0ms / 25.1ms)

OneFlow resnet50 time: 24.8ms (= 4958.2ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 35.9ms (= 7183.7ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.45 (= 35.9ms / 24.8ms)