{"id":20841701,"url":"https://github.com/jahongir7174/flops-pt","last_synced_at":"2026-02-10T09:43:03.768Z","repository":{"id":131228543,"uuid":"341066674","full_name":"jahongir7174/FLOPS-pt","owner":"jahongir7174","description":"PyTorch module FLOPS counter","archived":false,"fork":false,"pushed_at":"2024-10-30T01:57:49.000Z","size":7,"stargazers_count":3,"open_issues_count":0,"forks_count":1,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-03-24T12:46:59.175Z","etag":null,"topics":["batchnormalization","flops","flops-counter","fusing","mobilenetv2","pytorch"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/jahongir7174.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2021-02-22T03:18:26.000Z","updated_at":"2024-10-30T01:57:52.000Z","dependencies_parsed_at":null,"dependency_job_id":"6a188384-6f1e-4637-ac0a-1de4af96b911","html_url":"https://github.com/jahongir7174/FLOPS-pt","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jahongir7174%2FFLOPS-pt","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jahongir7174%2FFLOPS-pt/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jahongir7174%2FFLOPS-pt/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jahongir7174%2FFLOPS-pt/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jahongir7174","download_url":"https://codeload.github.com/jahongir7174/FLOPS-pt/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248231217,"owners_count":21069285,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["batchnormalization","flops","flops-counter","fusing","mobilenetv2","pytorch"],"created_at":"2024-11-18T01:21:24.597Z","updated_at":"2026-02-10T09:42:58.733Z","avatar_url":"https://github.com/jahongir7174.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"FLOPS counter using PyTorch\n\n#### Installation\n\n```\nconda create -n FLOP python=3.8.10\nconda activate FLOP\nconda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch-lts -c nvidia\npip install onnx==1.8.1\npip install future==0.18.3\npip install protobuf==3.20\npip install numpy==1.23.4\n```\n\n#### Usage\n\n* MobileNetV2 is a baseline model implemented in `nn.py`\n* `python main.py`\n\n#### FLOPS and Parameters\n\n```\nNumber of parameters: 3487816\nTime per operator type:\n        21.9012 ms.    89.5336%. Conv\n        2.11011 ms.    8.62627%. Clip\n       0.332954 ms.    1.36114%. FC\n       0.101426 ms.   0.414637%. Add\n      0.0136423 ms.  0.0557708%. AveragePool\n     0.00209721 ms. 0.00857355%. Flatten\n        24.4614 ms in Total\nFLOP per operator type:\n       0.598989 GFLOP.    99.5385%. Conv\n       0.002561 GFLOP.   0.425581%. FC\n    0.000216384 GFLOP.  0.0359582%. Add\n       0.601766 GFLOP in Total\nFeature Memory Read per operator type:\n        35.8909 MB.    83.9532%. Conv\n        5.12912 MB.    11.9976%. FC\n        1.73107 MB.    4.04918%. Add\n        42.7511 MB in Total\nFeature Memory Written per operator type:\n        26.7124 MB.    96.8475%. Conv\n       0.865536 MB.    3.13805%. Add\n          0.004 MB.  0.0145022%. FC\n         27.582 MB in Total\nParameter Memory per operator type:\n        8.75904 MB.    63.0917%. Conv\n          5.124 MB.    36.9083%. FC\n              0 MB.          0%. Add\n         13.883 MB in Total\n```","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjahongir7174%2Fflops-pt","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjahongir7174%2Fflops-pt","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjahongir7174%2Fflops-pt/lists"}