CI uses cuda118

[jackalcooper]

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View latest API docs preview at: https://oneflow-staging.oss-cn-beijing.aliyuncs.com/docs/Oneflow-Inc/oneflow/pr/10359/

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

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Speed stats:

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View latest API docs preview at: https://oneflow-staging.oss-cn-beijing.aliyuncs.com/docs/Oneflow-Inc/oneflow/pr/10359/

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Speed stats:

GPU Name: NVIDIA GeForce RTX 3080 Ti 

❌ OneFlow resnet50 time: 43.7ms (= 4370.5ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 61.8ms (= 6179.4ms / 100, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.41 (= 61.8ms / 43.7ms)

OneFlow resnet50 time: 26.8ms (= 2675.4ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 38.2ms (= 3815.9ms / 100, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.43 (= 38.2ms / 26.8ms)

OneFlow resnet50 time: 17.6ms (= 3527.5ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 35.7ms (= 7140.2ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 2.02 (= 35.7ms / 17.6ms)

OneFlow resnet50 time: 17.2ms (= 3449.6ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 32.8ms (= 6553.7ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.90 (= 32.8ms / 17.2ms)

OneFlow resnet50 time: 19.4ms (= 3878.0ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 30.2ms (= 6039.5ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 1.56 (= 30.2ms / 19.4ms)

OneFlow swin dataloader time: 0.202s (= 40.332s / 200, num_workers=1)
PyTorch swin dataloader time: 0.129s (= 25.852s / 200, num_workers=1)
Relative speed: 0.641 (= 0.129s / 0.202s)

OneFlow swin dataloader time: 0.055s (= 11.084s / 200, num_workers=4)
PyTorch swin dataloader time: 0.041s (= 8.101s / 200, num_workers=4)
Relative speed: 0.731 (= 0.041s / 0.055s)

OneFlow swin dataloader time: 0.030s (= 6.063s / 200, num_workers=8)
PyTorch swin dataloader time: 0.017s (= 3.341s / 200, num_workers=8)
Relative speed: 0.551 (= 0.017s / 0.030s)

❌ OneFlow resnet50 time: 49.5ms (= 4947.2ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 67.1ms (= 6714.5ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.36 (= 67.1ms / 49.5ms)

OneFlow resnet50 time: 36.9ms (= 3690.8ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 44.8ms (= 4478.7ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.21 (= 44.8ms / 36.9ms)

OneFlow resnet50 time: 29.4ms (= 5871.2ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 43.8ms (= 8752.2ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.49 (= 43.8ms / 29.4ms)

OneFlow resnet50 time: 25.6ms (= 5111.8ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 38.5ms (= 7691.3ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.50 (= 38.5ms / 25.6ms)

OneFlow resnet50 time: 24.6ms (= 4927.5ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 37.2ms (= 7441.7ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.51 (= 37.2ms / 24.6ms)

[github-actions]

View latest API docs preview at: https://oneflow-staging.oss-cn-beijing.aliyuncs.com/docs/Oneflow-Inc/oneflow/pr/10359/

[github-actions]

View latest API docs preview at: https://oneflow-staging.oss-cn-beijing.aliyuncs.com/docs/Oneflow-Inc/oneflow/pr/10359/

[github-actions]

View latest API docs preview at: https://oneflow-staging.oss-cn-beijing.aliyuncs.com/docs/Oneflow-Inc/oneflow/pr/10359/

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Speed stats:

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View latest API docs preview at: https://oneflow-staging.oss-cn-beijing.aliyuncs.com/docs/Oneflow-Inc/oneflow/pr/10359/

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Speed stats:

[github-actions]

Speed stats:

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View latest API docs preview at: https://oneflow-staging.oss-cn-beijing.aliyuncs.com/docs/Oneflow-Inc/oneflow/pr/10359/

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Code got formatted by CI. Please request CI again if you still want to have this PR merged. If the PR is from a forked repo, please download the patch files from the GitHub Actions web page and apply them locally.

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Speed stats: