Aligned tensor.add method

[EsdeathYZH]

目前master的Tensor.add接口缺少alpha参数，需要对齐pytorch接口

更新后的文档：

Pytorch文档链接：https://pytorch.org/docs/stable/generated/torch.add.html

[zhongshsh]

tensor 文档（\python\oneflow\framework\docstr\tensor.py ）的 add 和 add_没有定义好方法参数，麻烦统一修改一下。

[EsdeathYZH]

tensor 文档（\python\oneflow\framework\docstr\tensor.py ）的 add 和 add_没有定义好方法参数，麻烦统一修改一下。

这个会随着接口的变动自动更新，我这里的doc：

[github-actions]

Speed stats:

[github-actions]

Speed stats:

[github-actions]

Speed stats:

GPU Name: NVIDIA GeForce GTX 1080 

✔️ OneFlow resnet50 time: 129.0ms (= 12902.8ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 143.9ms (= 14387.4ms / 100, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.12 (= 143.9ms / 129.0ms)

OneFlow resnet50 time: 82.8ms (= 8277.6ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 84.9ms (= 8494.0ms / 100, input_shape=[8, 3, 224, 224])
❌ Relative speed: 1.03 (= 84.9ms / 82.8ms)

OneFlow resnet50 time: 53.6ms (= 10722.9ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 58.7ms (= 11743.2ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.10 (= 58.7ms / 53.6ms)

OneFlow resnet50 time: 43.4ms (= 8674.6ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 45.1ms (= 9010.3ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.04 (= 45.1ms / 43.4ms)

OneFlow resnet50 time: 35.2ms (= 7031.6ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 37.8ms (= 7551.5ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 1.07 (= 37.8ms / 35.2ms)

OneFlow swin dataloader time: 0.254s (= 50.866s / 200, num_workers=1)
PyTorch swin dataloader time: 0.152s (= 30.392s / 200, num_workers=1)
Relative speed: 0.597 (= 0.152s / 0.254s)

OneFlow swin dataloader time: 0.068s (= 13.519s / 200, num_workers=4)
PyTorch swin dataloader time: 0.043s (= 8.593s / 200, num_workers=4)
Relative speed: 0.636 (= 0.043s / 0.068s)

OneFlow swin dataloader time: 0.037s (= 7.484s / 200, num_workers=8)
PyTorch swin dataloader time: 0.022s (= 4.318s / 200, num_workers=8)
Relative speed: 0.577 (= 0.022s / 0.037s)

❌ OneFlow resnet50 time: 145.2ms (= 14515.8ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 167.7ms (= 16773.0ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.16 (= 167.7ms / 145.2ms)

OneFlow resnet50 time: 99.0ms (= 9900.1ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 111.7ms (= 11171.3ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.13 (= 111.7ms / 99.0ms)

OneFlow resnet50 time: 73.7ms (= 14745.9ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 88.3ms (= 17667.8ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.20 (= 88.3ms / 73.7ms)

OneFlow resnet50 time: 62.1ms (= 12410.8ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 74.9ms (= 14986.7ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.21 (= 74.9ms / 62.1ms)

OneFlow resnet50 time: 55.9ms (= 11175.4ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 77.3ms (= 15461.5ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.38 (= 77.3ms / 55.9ms)

[github-actions]

View latest API docs preview at: https://staging.oneflow.info/docs/Oneflow-Inc/oneflow/pr/8140/