Support inplace div add sub

[MARD1NO]

• 增加inplace版本 div sub
• 增加 mul_ 文档
  

[github-actions]

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

[github-actions]

Speed stats:

GPU Name: GeForce GTX 1080 

OneFlow resnet50 time: 136.6ms (= 13663.7ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 138.8ms (= 13882.4ms / 100, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.02 (= 138.8ms / 136.6ms)

OneFlow resnet50 time: 78.5ms (= 7849.3ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 83.5ms (= 8354.1ms / 100, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.06 (= 83.5ms / 78.5ms)

OneFlow resnet50 time: 52.2ms (= 10444.1ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 56.1ms (= 11223.6ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.07 (= 56.1ms / 52.2ms)

OneFlow resnet50 time: 35.2ms (= 7044.0ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 47.4ms (= 9479.6ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.35 (= 47.4ms / 35.2ms)

OneFlow resnet50 time: 42.4ms (= 8486.1ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 38.9ms (= 7789.8ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 0.92 (= 38.9ms / 42.4ms)

OneFlow resnet50 time: 149.0ms (= 14902.2ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 161.0ms (= 16101.4ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.08 (= 161.0ms / 149.0ms)

OneFlow resnet50 time: 89.9ms (= 8986.3ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 99.5ms (= 9949.5ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.11 (= 99.5ms / 89.9ms)

OneFlow resnet50 time: 64.2ms (= 12844.4ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 75.5ms (= 15100.0ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.18 (= 75.5ms / 64.2ms)

OneFlow resnet50 time: 57.1ms (= 11412.9ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 62.9ms (= 12576.3ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.10 (= 62.9ms / 57.1ms)

OneFlow resnet50 time: 59.0ms (= 11796.3ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 63.7ms (= 12739.8ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.08 (= 63.7ms / 59.0ms)