{"id":16953900,"url":"https://github.com/ivotron/mlperf-workflows","last_synced_at":"2025-04-05T15:23:06.709Z","repository":{"id":38800115,"uuid":"234233872","full_name":"ivotron/mlperf-workflows","owner":"ivotron","description":"Popperized MLPerf benchmark workflows","archived":false,"fork":false,"pushed_at":"2022-12-08T02:37:06.000Z","size":2371,"stargazers_count":2,"open_issues_count":17,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-02-11T12:19:02.075Z","etag":null,"topics":["benchmarks","mlperf","popper","reproducible-workflows"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ivotron.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-01-16T04:18:50.000Z","updated_at":"2020-07-09T04:02:32.000Z","dependencies_parsed_at":"2023-01-24T21:15:10.457Z","dependency_job_id":null,"html_url":"https://github.com/ivotron/mlperf-workflows","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/ivotron%2Fmlperf-workflows","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ivotron%2Fmlperf-workflows/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ivotron%2Fmlperf-workflows/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ivotron%2Fmlperf-workflows/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ivotron","download_url":"https://codeload.github.com/ivotron/mlperf-workflows/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247354980,"owners_count":20925528,"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":["benchmarks","mlperf","popper","reproducible-workflows"],"created_at":"2024-10-13T22:08:15.768Z","updated_at":"2025-04-05T15:23:06.691Z","avatar_url":"https://github.com/ivotron.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# mlperf-benchmarks\n\n## Steps to configure the machine\n\n1. Clone the repository.\n```\ngit clone https://github.com/blkswanio/mlperf-benchmarks\n```\n\n2. Install docker, cuda-runtime and nvidia-docker on the machine.\n```\ncd mlperf-benchmarks/\n./install_cuda_docker.sh\n```\n\n3. Install the `popper` tool.\n```\npip install popper\n```\n\nYou can also install it in a [virtualenv](https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/#creating-a-virtual-environment).\n \n## Running the benchmarks\n\n### Object Detection\n```\ncd object_detection/\npopper run -f main.yml -c settings.py\n```\n\n### Sentiment Analysis\n```\ncd sentiment_analysis/\npopper run -f main.yml -c settings.py\n```\n\n### Single Stage Detector\n```\ncd single_stage_detector/\npopper run -f main.yml -c settings.py\n```\n\n### RNN translator\n```\ncd rnn_translator/\npopper run -f main.yml -c settings.py\n```\n\n### Translation\n```\ncd translation/\npopper run -f main.yml -c settings.py\n```\n\n### Benchmark output\n\n```\nresults/\n|----- ssd/\n|      |--result_1.txt\n|      |--result_2.txt\n|      |--result_3.txt\n|      |--result_4.txt\n|      |--result_5.txt\n|----- maskrcnn/\n|----- gnmt/\n|----- transformer/\n|----- systems/\n       |--system_details.json\n```\nOn running the benchmarks, a directory structure like the one above would be generated in the root of the repository.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fivotron%2Fmlperf-workflows","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fivotron%2Fmlperf-workflows","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fivotron%2Fmlperf-workflows/lists"}