Fix typo in release workflow

[jackalcooper]

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View latest API docs preview at: https://oneflow-staging.oss-cn-beijing.aliyuncs.com/docs/Oneflow-Inc/oneflow/pr/10349/

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Speed stats:

GPU Name: NVIDIA GeForce RTX 3080 Ti 

❌ OneFlow resnet50 time: 43.6ms (= 4355.2ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 57.5ms (= 5754.5ms / 100, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.32 (= 57.5ms / 43.6ms)

OneFlow resnet50 time: 25.9ms (= 2588.4ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 37.5ms (= 3747.9ms / 100, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.45 (= 37.5ms / 25.9ms)

OneFlow resnet50 time: 18.5ms (= 3699.4ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 35.5ms (= 7096.9ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.92 (= 35.5ms / 18.5ms)

OneFlow resnet50 time: 18.9ms (= 3782.2ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 31.7ms (= 6348.0ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.68 (= 31.7ms / 18.9ms)

OneFlow resnet50 time: 17.6ms (= 3513.3ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 29.6ms (= 5924.6ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 1.69 (= 29.6ms / 17.6ms)

OneFlow swin dataloader time: 0.202s (= 40.327s / 200, num_workers=1)
PyTorch swin dataloader time: 0.129s (= 25.805s / 200, num_workers=1)
Relative speed: 0.640 (= 0.129s / 0.202s)

OneFlow swin dataloader time: 0.055s (= 10.979s / 200, num_workers=4)
PyTorch swin dataloader time: 0.032s (= 6.492s / 200, num_workers=4)
Relative speed: 0.591 (= 0.032s / 0.055s)

OneFlow swin dataloader time: 0.031s (= 6.122s / 200, num_workers=8)
PyTorch swin dataloader time: 0.016s (= 3.273s / 200, num_workers=8)
Relative speed: 0.535 (= 0.016s / 0.031s)

❌ OneFlow resnet50 time: 47.2ms (= 4723.4ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 63.9ms (= 6393.7ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.35 (= 63.9ms / 47.2ms)

OneFlow resnet50 time: 32.0ms (= 3200.1ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 43.8ms (= 4383.9ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.37 (= 43.8ms / 32.0ms)

OneFlow resnet50 time: 24.3ms (= 4857.6ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 40.9ms (= 8185.9ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.69 (= 40.9ms / 24.3ms)

OneFlow resnet50 time: 22.2ms (= 4448.8ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 37.2ms (= 7442.4ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.67 (= 37.2ms / 22.2ms)

OneFlow resnet50 time: 21.2ms (= 4242.9ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 36.9ms (= 7376.2ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.74 (= 36.9ms / 21.2ms)