Update LLVM Version to 16.0.0 #9985

howin98 · 2023-03-14T01:41:40Z

prepare for mlir codegen

github-actions · 2023-03-14T01:44:40Z

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.

github-actions · 2023-03-14T01:54:22Z

CI failed when running job: Build cpu. PR label automerge has been removed

github-actions · 2023-03-14T02:55:41Z

Static analysis with clang failed. PR label automerge has been removed

daquexian · 2023-03-14T02:58:30Z

是打算一直用 16.0.0rc4 还是等正式版发布一步升级到正式版呢

… into update-to-llvm16.0.0

howin98 · 2023-03-14T14:21:06Z

是打算一直用 16.0.0rc4 还是等正式版发布一步升级到正式版呢

打算先升级支持后面的oneflow kernel codegen的开发，后面等合适的时机再升级一次对齐api

howin98 · 2023-03-14T14:25:41Z

howin98 · 2023-03-23T08:33:22Z

howin98 · 2023-03-24T03:44:15Z

github-actions · 2023-04-04T11:56:47Z

Speed stats:

GPU Name: GeForce GTX 1080 

❌ OneFlow resnet50 time: 141.3ms (= 14132.2ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 144.6ms (= 14460.4ms / 100, input_shape=[16, 3, 224, 224])
❌ Relative speed: 1.02 (= 144.6ms / 141.3ms)

OneFlow resnet50 time: 82.7ms (= 8274.6ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 85.6ms (= 8558.5ms / 100, input_shape=[8, 3, 224, 224])
❌ Relative speed: 1.03 (= 85.6ms / 82.7ms)

OneFlow resnet50 time: 51.1ms (= 10223.8ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 56.4ms (= 11280.1ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.10 (= 56.4ms / 51.1ms)

OneFlow resnet50 time: 33.7ms (= 6736.8ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 45.0ms (= 8996.6ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.34 (= 45.0ms / 33.7ms)

OneFlow resnet50 time: 26.6ms (= 5324.1ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 44.0ms (= 8802.3ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 1.65 (= 44.0ms / 26.6ms)

OneFlow swin dataloader time: 0.242s (= 48.454s / 200, num_workers=1)
PyTorch swin dataloader time: 0.148s (= 29.630s / 200, num_workers=1)
Relative speed: 0.611 (= 0.148s / 0.242s)

OneFlow swin dataloader time: 0.072s (= 14.310s / 200, num_workers=4)
PyTorch swin dataloader time: 0.041s (= 8.246s / 200, num_workers=4)
Relative speed: 0.576 (= 0.041s / 0.072s)

OneFlow swin dataloader time: 0.039s (= 7.865s / 200, num_workers=8)
PyTorch swin dataloader time: 0.022s (= 4.482s / 200, num_workers=8)
Relative speed: 0.570 (= 0.022s / 0.039s)

❌ OneFlow resnet50 time: 153.3ms (= 15328.8ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 164.6ms (= 16461.5ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
❌ Relative speed: 1.07 (= 164.6ms / 153.3ms)

OneFlow resnet50 time: 93.7ms (= 9374.3ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 104.1ms (= 10407.7ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.11 (= 104.1ms / 93.7ms)

OneFlow resnet50 time: 61.9ms (= 12381.0ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 89.2ms (= 17848.8ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.44 (= 89.2ms / 61.9ms)

OneFlow resnet50 time: 42.9ms (= 8577.9ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 78.0ms (= 15597.8ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.82 (= 78.0ms / 42.9ms)

OneFlow resnet50 time: 38.0ms (= 7602.0ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 70.6ms (= 14121.0ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.86 (= 70.6ms / 38.0ms)

github-actions · 2023-04-04T12:08:17Z

View latest API docs preview at: https://staging.oneflow.info/docs/Oneflow-Inc/oneflow/pr/9985/

github-actions · 2023-04-05T13:47:26Z

View latest API docs preview at: https://staging.oneflow.info/docs/Oneflow-Inc/oneflow/pr/9985/

github-actions · 2023-04-06T02:53:19Z

Speed stats:

github-actions · 2023-04-06T03:56:53Z

Speed stats:

github-actions · 2023-04-06T08:12:25Z

Speed stats:

GPU Name: GeForce GTX 1080 

❌ OneFlow resnet50 time: 141.2ms (= 14121.7ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 145.2ms (= 14515.2ms / 100, input_shape=[16, 3, 224, 224])
❌ Relative speed: 1.03 (= 145.2ms / 141.2ms)

OneFlow resnet50 time: 82.6ms (= 8264.4ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 87.2ms (= 8721.6ms / 100, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.06 (= 87.2ms / 82.6ms)

OneFlow resnet50 time: 51.2ms (= 10248.7ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 58.8ms (= 11757.4ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.15 (= 58.8ms / 51.2ms)

OneFlow resnet50 time: 33.6ms (= 6720.7ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 44.7ms (= 8941.4ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.33 (= 44.7ms / 33.6ms)

OneFlow resnet50 time: 25.9ms (= 5176.7ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 43.8ms (= 8762.4ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 1.69 (= 43.8ms / 25.9ms)

OneFlow swin dataloader time: 0.236s (= 47.102s / 200, num_workers=1)
PyTorch swin dataloader time: 0.149s (= 29.893s / 200, num_workers=1)
Relative speed: 0.635 (= 0.149s / 0.236s)

OneFlow swin dataloader time: 0.070s (= 14.043s / 200, num_workers=4)
PyTorch swin dataloader time: 0.043s (= 8.663s / 200, num_workers=4)
Relative speed: 0.617 (= 0.043s / 0.070s)

OneFlow swin dataloader time: 0.041s (= 8.250s / 200, num_workers=8)
PyTorch swin dataloader time: 0.022s (= 4.473s / 200, num_workers=8)
Relative speed: 0.542 (= 0.022s / 0.041s)

❌ OneFlow resnet50 time: 153.2ms (= 15322.4ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 165.4ms (= 16542.3ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
❌ Relative speed: 1.08 (= 165.4ms / 153.2ms)

OneFlow resnet50 time: 93.5ms (= 9349.0ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 104.1ms (= 10408.1ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.11 (= 104.1ms / 93.5ms)

OneFlow resnet50 time: 61.6ms (= 12314.1ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 78.6ms (= 15710.8ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.28 (= 78.6ms / 61.6ms)

OneFlow resnet50 time: 44.6ms (= 8913.4ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 71.5ms (= 14308.3ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.61 (= 71.5ms / 44.6ms)

OneFlow resnet50 time: 36.7ms (= 7338.6ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 72.8ms (= 14557.3ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.98 (= 72.8ms / 36.7ms)

github-actions · 2023-04-06T08:17:41Z

View latest API docs preview at: https://staging.oneflow.info/docs/Oneflow-Inc/oneflow/pr/9985/

github-actions · 2023-04-06T10:44:32Z

Speed stats:

GPU Name: GeForce GTX 1080 

❌ OneFlow resnet50 time: 141.5ms (= 14147.3ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 142.4ms (= 14236.7ms / 100, input_shape=[16, 3, 224, 224])
❌ Relative speed: 1.01 (= 142.4ms / 141.5ms)

OneFlow resnet50 time: 83.6ms (= 8362.2ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 87.9ms (= 8791.9ms / 100, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.05 (= 87.9ms / 83.6ms)

OneFlow resnet50 time: 51.5ms (= 10302.4ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 59.9ms (= 11979.5ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.16 (= 59.9ms / 51.5ms)

OneFlow resnet50 time: 34.6ms (= 6911.5ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 45.1ms (= 9023.6ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.31 (= 45.1ms / 34.6ms)

OneFlow resnet50 time: 27.0ms (= 5404.5ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 44.6ms (= 8913.5ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 1.65 (= 44.6ms / 27.0ms)

OneFlow swin dataloader time: 0.243s (= 48.676s / 200, num_workers=1)
PyTorch swin dataloader time: 0.150s (= 30.026s / 200, num_workers=1)
Relative speed: 0.617 (= 0.150s / 0.243s)

OneFlow swin dataloader time: 0.067s (= 13.461s / 200, num_workers=4)
PyTorch swin dataloader time: 0.041s (= 8.135s / 200, num_workers=4)
Relative speed: 0.604 (= 0.041s / 0.067s)

OneFlow swin dataloader time: 0.044s (= 8.737s / 200, num_workers=8)
PyTorch swin dataloader time: 0.022s (= 4.432s / 200, num_workers=8)
Relative speed: 0.507 (= 0.022s / 0.044s)

❌ OneFlow resnet50 time: 154.3ms (= 15429.8ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 165.1ms (= 16511.3ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
❌ Relative speed: 1.07 (= 165.1ms / 154.3ms)

OneFlow resnet50 time: 94.0ms (= 9395.1ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 105.5ms (= 10548.9ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.12 (= 105.5ms / 94.0ms)

OneFlow resnet50 time: 61.4ms (= 12273.5ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 79.3ms (= 15851.4ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.29 (= 79.3ms / 61.4ms)

OneFlow resnet50 time: 44.1ms (= 8826.7ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 71.8ms (= 14357.0ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.63 (= 71.8ms / 44.1ms)

OneFlow resnet50 time: 38.4ms (= 7677.9ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 74.3ms (= 14854.4ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.93 (= 74.3ms / 38.4ms)

github-actions · 2023-04-06T10:52:54Z

View latest API docs preview at: https://staging.oneflow.info/docs/Oneflow-Inc/oneflow/pr/9985/

github-actions · 2023-04-06T12:05:26Z

Speed stats:

GPU Name: GeForce GTX 1080 

❌ OneFlow resnet50 time: 141.2ms (= 14124.3ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 143.1ms (= 14310.2ms / 100, input_shape=[16, 3, 224, 224])
❌ Relative speed: 1.01 (= 143.1ms / 141.2ms)

OneFlow resnet50 time: 82.9ms (= 8291.9ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 86.5ms (= 8649.5ms / 100, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.04 (= 86.5ms / 82.9ms)

OneFlow resnet50 time: 51.0ms (= 10202.5ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 59.9ms (= 11980.7ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.17 (= 59.9ms / 51.0ms)

OneFlow resnet50 time: 33.9ms (= 6778.6ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 47.7ms (= 9539.4ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.41 (= 47.7ms / 33.9ms)

OneFlow resnet50 time: 26.2ms (= 5234.4ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 43.2ms (= 8631.7ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 1.65 (= 43.2ms / 26.2ms)

OneFlow swin dataloader time: 0.258s (= 51.646s / 200, num_workers=1)
PyTorch swin dataloader time: 0.166s (= 33.195s / 200, num_workers=1)
Relative speed: 0.643 (= 0.166s / 0.258s)

OneFlow swin dataloader time: 0.069s (= 13.703s / 200, num_workers=4)
PyTorch swin dataloader time: 0.043s (= 8.602s / 200, num_workers=4)
Relative speed: 0.628 (= 0.043s / 0.069s)

OneFlow swin dataloader time: 0.039s (= 7.832s / 200, num_workers=8)
PyTorch swin dataloader time: 0.022s (= 4.322s / 200, num_workers=8)
Relative speed: 0.552 (= 0.022s / 0.039s)

❌ OneFlow resnet50 time: 153.3ms (= 15333.6ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 165.4ms (= 16535.7ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
❌ Relative speed: 1.08 (= 165.4ms / 153.3ms)

OneFlow resnet50 time: 94.1ms (= 9406.2ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 103.4ms (= 10335.6ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.10 (= 103.4ms / 94.1ms)

OneFlow resnet50 time: 61.7ms (= 12337.5ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 78.5ms (= 15705.5ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.27 (= 78.5ms / 61.7ms)

OneFlow resnet50 time: 43.1ms (= 8625.4ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 69.7ms (= 13936.8ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.62 (= 69.7ms / 43.1ms)

OneFlow resnet50 time: 36.4ms (= 7273.8ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 70.2ms (= 14033.3ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.93 (= 70.2ms / 36.4ms)

github-actions · 2023-04-06T12:15:32Z

View latest API docs preview at: https://staging.oneflow.info/docs/Oneflow-Inc/oneflow/pr/9985/

github-actions · 2023-04-07T11:13:10Z

Speed stats:

GPU Name: GeForce GTX 1080 

❌ OneFlow resnet50 time: 140.8ms (= 14082.0ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 146.9ms (= 14689.0ms / 100, input_shape=[16, 3, 224, 224])
❌ Relative speed: 1.04 (= 146.9ms / 140.8ms)

OneFlow resnet50 time: 80.6ms (= 8056.1ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 89.9ms (= 8989.0ms / 100, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.12 (= 89.9ms / 80.6ms)

OneFlow resnet50 time: 49.8ms (= 9957.9ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 70.7ms (= 14134.5ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.42 (= 70.7ms / 49.8ms)

OneFlow resnet50 time: 32.6ms (= 6512.2ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 66.8ms (= 13356.6ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 2.05 (= 66.8ms / 32.6ms)

OneFlow resnet50 time: 24.9ms (= 4976.7ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 63.4ms (= 12685.9ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 2.55 (= 63.4ms / 24.9ms)

OneFlow swin dataloader time: 0.240s (= 47.947s / 200, num_workers=1)
PyTorch swin dataloader time: 0.162s (= 32.467s / 200, num_workers=1)
Relative speed: 0.677 (= 0.162s / 0.240s)

OneFlow swin dataloader time: 0.068s (= 13.694s / 200, num_workers=4)
PyTorch swin dataloader time: 0.044s (= 8.749s / 200, num_workers=4)
Relative speed: 0.639 (= 0.044s / 0.068s)

OneFlow swin dataloader time: 0.040s (= 8.083s / 200, num_workers=8)
PyTorch swin dataloader time: 0.022s (= 4.463s / 200, num_workers=8)
Relative speed: 0.552 (= 0.022s / 0.040s)

❌ OneFlow resnet50 time: 152.6ms (= 15258.5ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 163.3ms (= 16329.2ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
❌ Relative speed: 1.07 (= 163.3ms / 152.6ms)

OneFlow resnet50 time: 91.5ms (= 9148.5ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 102.1ms (= 10213.2ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.12 (= 102.1ms / 91.5ms)

OneFlow resnet50 time: 60.1ms (= 12017.7ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 73.9ms (= 14778.5ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.23 (= 73.9ms / 60.1ms)

OneFlow resnet50 time: 42.7ms (= 8541.3ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 71.1ms (= 14215.6ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.66 (= 71.1ms / 42.7ms)

OneFlow resnet50 time: 35.7ms (= 7148.8ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 77.1ms (= 15410.7ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 2.16 (= 77.1ms / 35.7ms)

github-actions · 2023-04-07T11:16:30Z

View latest API docs preview at: https://staging.oneflow.info/docs/Oneflow-Inc/oneflow/pr/9985/

github-actions · 2023-04-07T11:26:15Z

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

update

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howin98 requested review from jackalcooper and daquexian as code owners March 14, 2023 01:41

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auto format by CI

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howin98 added 2 commits March 14, 2023 14:11

fix

cd2b16b

Merge branch 'update-to-llvm16.0.0' of github.com:Oneflow-Inc/oneflow…

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… into update-to-llvm16.0.0

howin98 requested review from hjchen2 and BBuf as code owners March 14, 2023 14:12

howin98 added 8 commits March 16, 2023 02:48

stash

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fix some

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fix more

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up to 16

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fix some

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fix some

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remove magic string

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pass 39/52

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fix alot

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howin98 added 3 commits April 4, 2023 02:40

try to amend cache

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try disable error on weak-tables

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fix

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howin98 added 2 commits April 6, 2023 02:30

try again

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fix

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try

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update

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try

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try

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howin98 and others added 2 commits April 7, 2023 08:45

fix

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Merge branch 'master' into update-to-llvm16.0.0

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Update LLVM Version to 16.0.0 #9985

Update LLVM Version to 16.0.0 #9985

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Update LLVM Version to 16.0.0 #9985

Update LLVM Version to 16.0.0 #9985

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howin98 commented Mar 14, 2023

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howin98 commented Mar 14, 2023 • edited Loading

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howin98 commented Mar 14, 2023 •

edited

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