ONEFOW_CHECK_LEVEL -> ONEFLOW_CHECK_LEVEL

[ShawnXuan]

fix issue: #10541

[github-actions]

View latest API docs preview at: https://oneflow-staging.oss-cn-beijing.aliyuncs.com/docs/Oneflow-Inc/oneflow/pr/10542/

[github-actions]

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

[github-actions]

View latest API docs preview at: https://oneflow-staging.oss-cn-beijing.aliyuncs.com/docs/Oneflow-Inc/oneflow/pr/10542/

[github-actions]

Speed stats:

GPU Name: NVIDIA GeForce RTX 3080 Ti 

❌ OneFlow resnet50 time: 43.3ms (= 4327.0ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 57.9ms (= 5788.3ms / 100, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.34 (= 57.9ms / 43.3ms)

OneFlow resnet50 time: 26.5ms (= 2647.3ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 38.8ms (= 3883.6ms / 100, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.47 (= 38.8ms / 26.5ms)

OneFlow resnet50 time: 19.2ms (= 3838.3ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 36.4ms (= 7270.9ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.89 (= 36.4ms / 19.2ms)

OneFlow resnet50 time: 18.0ms (= 3590.7ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 32.9ms (= 6587.2ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.83 (= 32.9ms / 18.0ms)

OneFlow resnet50 time: 16.9ms (= 3378.1ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 28.4ms (= 5672.3ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 1.68 (= 28.4ms / 16.9ms)

OneFlow swin dataloader time: 0.216s (= 43.172s / 200, num_workers=1)
PyTorch swin dataloader time: 0.131s (= 26.147s / 200, num_workers=1)
Relative speed: 0.606 (= 0.131s / 0.216s)

OneFlow swin dataloader time: 0.054s (= 10.790s / 200, num_workers=4)
PyTorch swin dataloader time: 0.033s (= 6.572s / 200, num_workers=4)
Relative speed: 0.609 (= 0.033s / 0.054s)

OneFlow swin dataloader time: 0.030s (= 5.910s / 200, num_workers=8)
PyTorch swin dataloader time: 0.017s (= 3.337s / 200, num_workers=8)
Relative speed: 0.565 (= 0.017s / 0.030s)

❌ OneFlow resnet50 time: 49.4ms (= 4940.6ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 66.5ms (= 6652.3ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.35 (= 66.5ms / 49.4ms)

OneFlow resnet50 time: 40.3ms (= 4029.8ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 48.7ms (= 4869.7ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.21 (= 48.7ms / 40.3ms)

OneFlow resnet50 time: 27.9ms (= 5579.8ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 41.9ms (= 8373.4ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.50 (= 41.9ms / 27.9ms)

OneFlow resnet50 time: 26.7ms (= 5341.0ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 41.3ms (= 8270.0ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.55 (= 41.3ms / 26.7ms)

OneFlow resnet50 time: 25.0ms (= 5002.7ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 35.8ms (= 7160.5ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.43 (= 35.8ms / 25.0ms)