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  1. pytorch-nightly.csv +19 -0
  2. reduce-overhead.csv +17 -0
pytorch-nightly.csv ADDED
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+ task,model,GPU,batch size,with torch.compile,without torch.compile
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+ image classification,BeiT,A100,unbatched,6.954,12.462
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+ image classification,BeiT,A100,4,12.851,14.109
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+ image classification,BeiT,A100,16,42.147,42.179
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+ object detection,DETR,A100,unbatched,15.221,30.484
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+ object detection,DETR,A100,4,30.942,46.816
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+ object detection,DETR,A100,16,163.706,163.749
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+ image classification,BeiT,T4,unbatched,14.052,14.408
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+ image classification,BeiT,T4,4,46.604,47.381
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+ image classification,BeiT,T4,16,42.147,42.179
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+ object detection,DETR,T4,unbatched,53.481,68.382
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+ object detection,DETR,T4,4,204.785,269.615
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+ object detection,DETR,T4,16,OOM,OOM
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+ image classification,BeiT,V100,unbatched,7.926,13.477
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+ image classification,BeiT,V100,4,14.378,15.103
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+ image classification,BeiT,V100,16,51.691,52.517
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+ object detection,DETR,V100,unbatched,19.077,28.706
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+ object detection,DETR,V100,4,62.949,88.402
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+ object detection,DETR,V100,16,OOM,OOM
reduce-overhead.csv ADDED
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+ task,model,GPU,batch size,with torch.compile,without torch.compile
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+ image classification,ConvNeXT,A100,unbatched,7.335,11.758
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+ image classification,ConvNeXT,A100,4,21.49,23.171
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+ image classification,ResNet,A100,unbatched,3.801,7.435
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+ image classification,ResNet,A100,4,2.187,7.261
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+ object detection,Conditional-DETR,A100,unbatched,11.627,32.823
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+ object detection,Conditional-DETR,A100,4,33.831,50.622
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+ image segmentation,MobileNet,A100,unbatched,4.244,9.869
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+ image segmentation,MobileNet,A100,4,7.946,14.385
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+ image classification,ConvNeXT,T4,unbatched,31.84,32.137
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+ image classification,ConvNeXT,T4,4,110.209,120.944
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+ image classification,ResNet,T4,unbatched,7.698,9.761
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+ image classification,ResNet,T4,4,13.871,15.215
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+ object detection,Conditional-DETR,T4,unbatched,57.66,72.15
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+ object detection,Conditional-DETR,T4,4,247.543,301.494
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+ image segmentation,MobileNet,T4,unbatched,19.339,22.266
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+ image segmentation,MobileNet,T4,4,50.983,78.311