support NoneType in Graph proxy

[doombeaker]

修正跑 https://huggingface.co/latent-consistency/lcm-lora-sdxl 会报错的问题。

因为遇到一些 Module 是 m = None 的情况，现在是没有处理的。

[github-actions]

View latest API docs preview at: https://oneflow-staging.oss-cn-beijing.aliyuncs.com/docs/Oneflow-Inc/oneflow/pr/10355/

[github-actions]

Speed stats:

GPU Name: NVIDIA GeForce RTX 3080 Ti 

❌ OneFlow resnet50 time: 44.0ms (= 4401.5ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 56.7ms (= 5674.0ms / 100, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.29 (= 56.7ms / 44.0ms)

OneFlow resnet50 time: 26.6ms (= 2657.2ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 37.8ms (= 3781.4ms / 100, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.42 (= 37.8ms / 26.6ms)

OneFlow resnet50 time: 19.2ms (= 3838.2ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 36.1ms (= 7215.1ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.88 (= 36.1ms / 19.2ms)

OneFlow resnet50 time: 17.3ms (= 3468.3ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 30.5ms (= 6109.7ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.76 (= 30.5ms / 17.3ms)

OneFlow resnet50 time: 16.1ms (= 3229.4ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 32.2ms (= 6436.1ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 1.99 (= 32.2ms / 16.1ms)

OneFlow swin dataloader time: 0.203s (= 40.609s / 200, num_workers=1)
PyTorch swin dataloader time: 0.129s (= 25.745s / 200, num_workers=1)
Relative speed: 0.634 (= 0.129s / 0.203s)

OneFlow swin dataloader time: 0.054s (= 10.752s / 200, num_workers=4)
PyTorch swin dataloader time: 0.033s (= 6.669s / 200, num_workers=4)
Relative speed: 0.620 (= 0.033s / 0.054s)

OneFlow swin dataloader time: 0.031s (= 6.104s / 200, num_workers=8)
PyTorch swin dataloader time: 0.017s (= 3.373s / 200, num_workers=8)
Relative speed: 0.553 (= 0.017s / 0.031s)

❌ OneFlow resnet50 time: 48.2ms (= 4824.8ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 64.0ms (= 6399.5ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.33 (= 64.0ms / 48.2ms)

OneFlow resnet50 time: 31.7ms (= 3165.6ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 43.8ms (= 4382.6ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.38 (= 43.8ms / 31.7ms)

OneFlow resnet50 time: 23.5ms (= 4703.2ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 41.0ms (= 8210.0ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.75 (= 41.0ms / 23.5ms)

OneFlow resnet50 time: 21.1ms (= 4218.9ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 36.6ms (= 7310.6ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.73 (= 36.6ms / 21.1ms)

OneFlow resnet50 time: 20.2ms (= 4038.5ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 34.1ms (= 6817.9ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.69 (= 34.1ms / 20.2ms)