源代码：https://github.com/Lyken17/pytorch-OpCounter
""" 使用 Flops 工具计算模型的计算参数量和计算量。 author:czjing source: https://github.com/Lyken17/pytorch-OpCounter # 安装thop包,使用下面的代码 # pip install thop """ # 导入必须的包 import torch import torchvision from thop import profile if __name__ == '__main__': # 1. 定义好的模型 model = torchvision.models.resnet50() # 2. 模型的输入（tensor） inputs = torch.randn(1, 3, 200, 200) # 3. 调用thop计算 flops, params = profile(model, inputs=(inputs,)) print('flops:', flops) print('params:', params)输出结果示例：
"D:\Program Files (x86)\anaconda3\envs\cv\python.exe" E:/Pycharm/handTracking/models/flops_test/flops_test.py [INFO] Register count_convNd() for <class 'torch.nn.modules.conv.Conv2d'>. [INFO] Register count_bn() for <class 'torch.nn.modules.batchnorm.BatchNorm2d'>. [INFO] Register zero_ops() for <class 'torch.nn.modules.activation.ReLU'>. [INFO] Register zero_ops() for <class 'torch.nn.modules.pooling.MaxPool2d'>. [WARN] Cannot find rule for <class 'torch.nn.modules.container.Sequential'>. Treat it as zero Macs and zero Params. [WARN] Cannot find rule for <class 'torchvision.models.resnet.Bottleneck'>. Treat it as zero Macs and zero Params. [INFO] Register count_adap_avgpool() for <class 'torch.nn.modules.pooling.AdaptiveAvgPool2d'>. [INFO] Register count_linear() for <class 'torch.nn.modules.linear.Linear'>. [WARN] Cannot find rule for <class 'torchvision.models.resnet.ResNet'>. Treat it as zero Macs and zero Params. flops: 3517126400.0 params: 25557032.0 Process finished with exit code 0完。
