add more error info for nn.Graph build

[BBuf]

No description provided.

[github-actions]

View latest API docs preview at: https://staging.oneflow.info/docs/Oneflow-Inc/oneflow/pr/8250/

[github-actions]

Speed stats:

GPU Name: NVIDIA GeForce GTX 1080 

❌ OneFlow resnet50 time: 129.8ms (= 12977.4ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 143.5ms (= 14347.2ms / 100, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.11 (= 143.5ms / 129.8ms)

OneFlow resnet50 time: 77.4ms (= 7736.2ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 83.6ms (= 8357.1ms / 100, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.08 (= 83.6ms / 77.4ms)

OneFlow resnet50 time: 53.9ms (= 10789.5ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 58.7ms (= 11746.9ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.09 (= 58.7ms / 53.9ms)

OneFlow resnet50 time: 41.5ms (= 8295.5ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 41.2ms (= 8240.2ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 0.99 (= 41.2ms / 41.5ms)

OneFlow resnet50 time: 38.2ms (= 7633.1ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 39.8ms (= 7957.7ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 1.04 (= 39.8ms / 38.2ms)

OneFlow swin dataloader time: 0.242s (= 48.362s / 200, num_workers=1)
PyTorch swin dataloader time: 0.150s (= 30.094s / 200, num_workers=1)
Relative speed: 0.622 (= 0.150s / 0.242s)

OneFlow swin dataloader time: 0.065s (= 13.081s / 200, num_workers=4)
PyTorch swin dataloader time: 0.041s (= 8.240s / 200, num_workers=4)
Relative speed: 0.630 (= 0.041s / 0.065s)

OneFlow swin dataloader time: 0.035s (= 6.935s / 200, num_workers=8)
PyTorch swin dataloader time: 0.022s (= 4.438s / 200, num_workers=8)
Relative speed: 0.640 (= 0.022s / 0.035s)

❌ OneFlow resnet50 time: 146.4ms (= 14638.7ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 175.6ms (= 17557.3ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.20 (= 175.6ms / 146.4ms)

OneFlow resnet50 time: 96.5ms (= 9654.8ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 122.2ms (= 12222.6ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.27 (= 122.2ms / 96.5ms)

OneFlow resnet50 time: 75.6ms (= 15118.8ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 88.5ms (= 17703.4ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
❌ Relative speed: 1.17 (= 88.5ms / 75.6ms)

OneFlow resnet50 time: 63.3ms (= 12666.4ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 74.5ms (= 14899.2ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.18 (= 74.5ms / 63.3ms)

OneFlow resnet50 time: 57.6ms (= 11520.0ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 69.8ms (= 13955.2ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.21 (= 69.8ms / 57.6ms)