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CI failed when running job: cuda-misc. PR label automerge has been removed
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Speed stats:
GPU Name: GeForce GTX 1080
❌ OneFlow resnet50 time: 140.3ms (= 14031.6ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 161.6ms (= 16160.4ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.15 (= 161.6ms / 140.3ms)
OneFlow resnet50 time: 86.5ms (= 8651.5ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 103.3ms (= 10325.4ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.19 (= 103.3ms / 86.5ms)
OneFlow resnet50 time: 58.6ms (= 11710.7ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 78.2ms (= 15638.4ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.34 (= 78.2ms / 58.6ms)
OneFlow resnet50 time: 45.0ms (= 8991.4ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 69.8ms (= 13964.5ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.55 (= 69.8ms / 45.0ms)
OneFlow resnet50 time: 41.6ms (= 8322.9ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 68.6ms (= 13722.3ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.65 (= 68.6ms / 41.6ms)
View latest API docs preview at: https://staging.oneflow.info/docs/Oneflow-Inc/oneflow/pr/8891/
CI failed when running job: cuda-misc. PR label automerge has been removed
View latest API docs preview at: https://staging.oneflow.info/docs/Oneflow-Inc/oneflow/pr/8891/
Speed stats:
GPU Name: GeForce GTX 1080
❌ OneFlow resnet50 time: 139.8ms (= 13980.3ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 160.3ms (= 16032.6ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.15 (= 160.3ms / 139.8ms)
OneFlow resnet50 time: 85.4ms (= 8540.8ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 102.3ms (= 10233.6ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.20 (= 102.3ms / 85.4ms)
OneFlow resnet50 time: 57.8ms (= 11551.1ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 77.9ms (= 15585.8ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.35 (= 77.9ms / 57.8ms)
OneFlow resnet50 time: 44.8ms (= 8967.8ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 71.7ms (= 14347.1ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.60 (= 71.7ms / 44.8ms)
OneFlow resnet50 time: 41.1ms (= 8227.4ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 76.7ms (= 15341.1ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.86 (= 76.7ms / 41.1ms)
CI failed when running job: cuda-misc. PR label automerge has been removed
Speed stats:
GPU Name: GeForce GTX 1080
❌ OneFlow resnet50 time: 140.1ms (= 14007.0ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 159.5ms (= 15950.4ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.14 (= 159.5ms / 140.1ms)
OneFlow resnet50 time: 86.2ms (= 8622.8ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 111.7ms (= 11166.7ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.30 (= 111.7ms / 86.2ms)
OneFlow resnet50 time: 58.7ms (= 11730.3ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 79.2ms (= 15832.7ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.35 (= 79.2ms / 58.7ms)
OneFlow resnet50 time: 44.4ms (= 8873.2ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 82.2ms (= 16443.0ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.85 (= 82.2ms / 44.4ms)
OneFlow resnet50 time: 40.0ms (= 7991.5ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 67.9ms (= 13574.9ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.70 (= 67.9ms / 40.0ms)
View latest API docs preview at: https://staging.oneflow.info/docs/Oneflow-Inc/oneflow/pr/8891/
Speed stats:
GPU Name: GeForce GTX 1080
❌ OneFlow resnet50 time: 139.9ms (= 13989.9ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 161.9ms (= 16188.4ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.16 (= 161.9ms / 139.9ms)
OneFlow resnet50 time: 85.9ms (= 8594.6ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 102.8ms (= 10280.6ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.20 (= 102.8ms / 85.9ms)
OneFlow resnet50 time: 58.1ms (= 11622.1ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 88.2ms (= 17636.2ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.52 (= 88.2ms / 58.1ms)
OneFlow resnet50 time: 44.9ms (= 8977.1ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 71.8ms (= 14367.8ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.60 (= 71.8ms / 44.9ms)
OneFlow resnet50 time: 40.3ms (= 8061.7ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 70.9ms (= 14172.4ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.76 (= 70.9ms / 40.3ms)
View latest API docs preview at: https://staging.oneflow.info/docs/Oneflow-Inc/oneflow/pr/8891/