【Pytorch】如何获取模型的参数量和计算量

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

参考：https://github.com/Lyken17/pytorch-OpCounter