Skip to main content

A tool to count the FLOPs of PyTorch model.

Project description

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

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

thop-0.0.23-1906241153.tar.gz (3.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

thop-0.0.23.post1906241153-py3-none-any.whl (4.5 kB view details)

Uploaded Python 3

File details

Details for the file thop-0.0.23-1906241153.tar.gz.

File metadata

  • Download URL: thop-0.0.23-1906241153.tar.gz
  • Upload date:
  • Size: 3.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.4.2 requests/2.21.0 setuptools/39.1.0 requests-toolbelt/0.9.1 tqdm/4.26.0 CPython/3.6.5

File hashes

Hashes for thop-0.0.23-1906241153.tar.gz
Algorithm Hash digest
SHA256 de495ac9f50c2aa53a2e8b8b5969d5ffca651fdedff99d4bbae4f0693b60dfb1
MD5 22af67d82ac4ffde4ad40f91334dfb52
BLAKE2b-256 5ba8fe7b4594cb2aa731918b750ee762302879db527ad9d19ff69e7a883c3a0e

See more details on using hashes here.

File details

Details for the file thop-0.0.23.post1906241153-py3-none-any.whl.

File metadata

  • Download URL: thop-0.0.23.post1906241153-py3-none-any.whl
  • Upload date:
  • Size: 4.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.4.2 requests/2.21.0 setuptools/39.1.0 requests-toolbelt/0.9.1 tqdm/4.26.0 CPython/3.6.5

File hashes

Hashes for thop-0.0.23.post1906241153-py3-none-any.whl
Algorithm Hash digest
SHA256 55bd8752caba1192d97a510fa1f838dafee2dc5f420974c80050a940f41f7d69
MD5 ebb361c4318c1ad4d0571c729242bf01
BLAKE2b-256 ed46faae5b872f27fc3bc802124324add3ba4271a7566f3b30a5346bf9dbe455

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page