Aligin pooling op functional api names with torch

[Flowingsun007]

Aligin pooling op functional api names with torch

[github-actions]

Speed stats:

GPU Name: GeForce GTX 1080 

OneFlow resnet50 time: 128.8ms (= 6439.5ms / 50, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 141.8ms (= 7090.8ms / 50, input_shape=[16, 3, 224, 224])
Relative speed: 1.10 (= 141.8ms / 128.8ms)

OneFlow resnet50 time: 74.7ms (= 3732.6ms / 50, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 86.5ms (= 4326.4ms / 50, input_shape=[8, 3, 224, 224])
Relative speed: 1.16 (= 86.5ms / 74.7ms)

OneFlow resnet50 time: 49.0ms (= 2450.2ms / 50, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 61.2ms (= 3059.4ms / 50, input_shape=[4, 3, 224, 224])
Relative speed: 1.25 (= 61.2ms / 49.0ms)

OneFlow resnet50 time: 39.5ms (= 1973.2ms / 50, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 45.5ms (= 2277.2ms / 50, input_shape=[2, 3, 224, 224])
Relative speed: 1.15 (= 45.5ms / 39.5ms)

OneFlow resnet50 time: 42.3ms (= 2114.5ms / 50, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 38.5ms (= 1925.1ms / 50, input_shape=[1, 3, 224, 224])
Relative speed: 0.91 (= 38.5ms / 42.3ms)

OneFlow resnet50 time: 139.9ms (= 6992.9ms / 50, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 160.3ms (= 8016.4ms / 50, input_shape=[16, 3, 224, 224], ddp, world size=2)
Relative speed: 1.15 (= 160.3ms / 139.9ms)

OneFlow resnet50 time: 92.7ms (= 4633.5ms / 50, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 100.7ms (= 5033.0ms / 50, input_shape=[8, 3, 224, 224], ddp, world size=2)
Relative speed: 1.09 (= 100.7ms / 92.7ms)

OneFlow resnet50 time: 66.2ms (= 3311.3ms / 50, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 72.4ms (= 3620.0ms / 50, input_shape=[4, 3, 224, 224], ddp, world size=2)
Relative speed: 1.09 (= 72.4ms / 66.2ms)

OneFlow resnet50 time: 61.0ms (= 3048.2ms / 50, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 64.4ms (= 3219.3ms / 50, input_shape=[2, 3, 224, 224], ddp, world size=2)
Relative speed: 1.06 (= 64.4ms / 61.0ms)

OneFlow resnet50 time: 63.4ms (= 3171.3ms / 50, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 60.5ms (= 3024.2ms / 50, input_shape=[1, 3, 224, 224], ddp, world size=2)
Relative speed: 0.95 (= 60.5ms / 63.4ms)