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Count the FLOPs of your PyTorch model.
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Ligeng Zhu
Latest commit 41d9d15 Apr 20, 2019

README.md

THOP: PyTorch-OpCounter

How to install

  • Through PyPi

    pip install thop

  • Using GitHub (always latest)

    pip install --upgrade git+https://github.com/Lyken17/pytorch-OpCounter.git

How to use

  • Basic usage

    from torchvision.models import resnet50
    from thop import profile
    model = resnet50()
    flops, params = profile(model, input_size=(1, 3, 224,224))
  • Define the rule for 3rd party module.

    class YourModule(nn.Module):
        # your definition
    def count_your_model(model, x, y):
        # your rule here
    flops, params = profile(model, input_size=(1, 3, 224,224), 
                            custom_ops={YourModule: count_your_model})

Results on Recent Models

Model Params(M) FLOPs(G)
alexnet 61.10 0.71
vgg11 132.86 7.75
vgg11_bn 132.87 7.76
vgg13 133.05 11.46
vgg13_bn 133.05 11.48
vgg16 138.36 15.62
vgg16_bn 138.37 15.65
vgg19 143.67 19.79
vgg19_bn 143.68 19.82
densenet121 7.98 2.79
densenet161 28.68 7.69
densenet169 14.15 3.33
densenet201 20.01 4.28
resnet18 11.69 1.58
resnet34 21.80 3.44
resnet50 25.56 3.53
resnet101 44.55 7.26
resnet152 60.19 10.99
squeezenet1_0 1.25 0.70
squeezenet1_1 1.24 0.34
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