{"id":19704240,"url":"https://github.com/dbklim/optimized_tensorflow_wheels","last_synced_at":"2026-05-09T05:02:49.635Z","repository":{"id":115095736,"uuid":"193916613","full_name":"dbklim/optimized_tensorflow_wheels","owner":"dbklim","description":"Optimized versions TensorFlow and TensorFlow-GPU for specific CPUs and GPUs (for both old and new).","archived":false,"fork":false,"pushed_at":"2020-03-26T21:47:48.000Z","size":13,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-27T17:21:40.458Z","etag":null,"topics":["cuda","nvidia-cuda","nvidia-gpu","tensorflow","tensorflow-community-wheels","tensorflow-gpu","tensorflow-packages","tensorflow-whells","wheels"],"latest_commit_sha":null,"homepage":"","language":"Shell","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/dbklim.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-06-26T14:04:47.000Z","updated_at":"2020-03-26T21:47:50.000Z","dependencies_parsed_at":null,"dependency_job_id":"337dfe0c-bfb1-4d23-9ec6-3d83a7109bc4","html_url":"https://github.com/dbklim/optimized_tensorflow_wheels","commit_stats":null,"previous_names":["dbklim/optimized_tensorflow_wheels"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/dbklim/optimized_tensorflow_wheels","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dbklim%2Foptimized_tensorflow_wheels","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dbklim%2Foptimized_tensorflow_wheels/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dbklim%2Foptimized_tensorflow_wheels/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dbklim%2Foptimized_tensorflow_wheels/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dbklim","download_url":"https://codeload.github.com/dbklim/optimized_tensorflow_wheels/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dbklim%2Foptimized_tensorflow_wheels/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32807861,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-08T08:22:46.396Z","status":"online","status_checked_at":"2026-05-09T02:00:06.633Z","response_time":123,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["cuda","nvidia-cuda","nvidia-gpu","tensorflow","tensorflow-community-wheels","tensorflow-gpu","tensorflow-packages","tensorflow-whells","wheels"],"created_at":"2024-11-11T21:21:27.846Z","updated_at":"2026-05-09T05:02:49.598Z","avatar_url":"https://github.com/dbklim.png","language":"Shell","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Optimized TensorFlow wheels\n\n**Репозиторий** предназначен **для хранения собранных** с помощью [данного docker-образа](https://github.com/Desklop/building_tensorflow) оптимизированных **версий TensorFlow и TensorFlow-GPU v1.13.1-1.15.2** под конкретные CPU (для повышения производительности на новых CPU и возможности запуска на старых CPU).\n\n**Все собранные версии** TensorFlow и TensorFlow-GPU v1.13.1-1.15.2 **хранятся в** моём [Google Drive](https://drive.google.com/open?id=1rCAwqxlsEmqFCXHKkZCu3X5AOoa6Iz6o).\n\n**Сборка** выполнялась **в ОС Ubuntu 19.10 с Python 3.6-3.7**, с поддержкой XLA и без поддержки [Intel MKL-DNN](https://software.intel.com/en-us/mkl). TensorFlow-GPU требует **CUDA 10.0-10.2 и cuDNN 7.6**, при сборке было указано **Compute Capability 6.1, 7.0 и 7.5**.\n\n| Имя    | CPU     | Supported Instructions | GPU     |\n| :----- | :-----: | :-----:                | :-----: |\n| [tensorflow_cpu_ALL_XLA-1.15.2-cp37-cp37m-linux_x86_64.whl](https://drive.google.com/open?id=1a24_GHdICZwjCHQjnUhWMzoaJnaN_-ob) | Intel Xeon Silver 4214 | SSE4.1, SSE4.2, AVX, AVX2, AVX512F, FMA | — |\n| [tensorflow_gpu_ALL_cuda10.0_XLA-1.15.2-cp37-cp37m-linux_x86_64.whl](https://drive.google.com/open?id=1Q6JiBL7Xw2kl4FIiyibPWuhHw-vWHzSD) | Intel Xeon Silver 4214 | SSE4.1, SSE4.2, AVX, AVX2, AVX512F, FMA | NVIDIA Tesla T4 (CUDA 10.0, cuDNN 7.6.5) |\n| [tensorflow_gpu_ALL_cuda10.2_XLA-1.15.2-cp37-cp37m-linux_x86_64.whl](https://drive.google.com/open?id=11hNyzx-C7M5MfdwgvMitflZg5kPKM4jg) | Intel Xeon Silver 4214 | SSE4.1, SSE4.2, AVX, AVX2, AVX512F, FMA | NVIDIA Tesla T4 (CUDA 10.2, cuDNN 7.6.5) |\n| [tensorflow_cpu_noAVX512F_XLA-1.15.2-cp37-cp37m-linux_x86_64.whl](https://drive.google.com/open?id=1fCUg4DNa_GZj9aWnbqR1GYyqD17G1866) | Intel Core i7-10510U | SSE4.1, SSE4.2, AVX, AVX2, FMA | — |\n| [tensorflow_gpu_noAVX512F_cuda10.0_XLA-1.15.2-cp37-cp37m-linux_x86_64.whl](https://drive.google.com/open?id=1u-jIs0lrxG9TDKZoIpYTsCF-b_AKWAB8) | Intel Core i7-10510U | SSE4.1, SSE4.2, AVX, AVX2, FMA | NVIDIA GeForce MX250 (CUDA 10.0, cuDNN 7.6.5) |\n| [tensorflow_gpu_noAVX512F_cuda10.2_XLA-1.15.2-cp37-cp37m-linux_x86_64.whl](https://drive.google.com/open?id=1PtKLxyl_cmukRJrdrVznUiYmE7P2kxRz) | Intel Core i7-10510U | SSE4.1, SSE4.2, AVX, AVX2, FMA | NVIDIA GeForce MX250 (CUDA 10.2, cuDNN 7.6.5) |\n| [tensorflow_cpu_SSE4.1_SSE4.2_XLA-1.15.2-cp37-cp37m-linux_x86_64.whl](https://drive.google.com/open?id=1zR5G-8QDZSnXzF2_mJ9p7GsmXV2FEWOm) | Intel Xeon X5650 | SSE4.1, SSE4.2 | — |\n| [tensorflow_gpu_SSE4.1_SSE4.2_cuda10.0_XLA-1.15.2-cp37-cp37m-linux_x86_64.whl](https://drive.google.com/open?id=1Cos4GYQLM2YsdkHmr785qKCR_CX6mkBl) | Intel Xeon X5650 | SSE4.1, SSE4.2 | NVIDIA GeForce RTX2080 (CUDA 10.0, cuDNN 7.6.5) |\n| [tensorflow_gpu_SSE4.1_SSE4.2_cuda10.2_XLA-1.15.2-cp37-cp37m-linux_x86_64.whl](https://drive.google.com/open?id=1aOUAtD6pa4rq1tNLUfwGg9I9ma9kxdUT) | Intel Xeon X5650 | SSE4.1, SSE4.2 | NVIDIA GeForce RTX2080 (CUDA 10.2, cuDNN 7.6.5) |\n| [tensorflow_cpu_noALL_XLA-1.15.2-cp37-cp37m-linux_x86_64.whl](https://drive.google.com/open?id=1lC_8Zl2SYXWwHWq0IsS-N_MeoctW7FH4) | [KVM Processor](https://ru.wikipedia.org/wiki/KVM) | — | — |\n| [tensorflow_i7_8700-1.13.1-cp36-cp36m-linux_x86_64.whl](https://drive.google.com/open?id=1hiDnK6vbfSBgGafWVrrK_WAP2gx8G4h3) | Intel Core i7-8700 | SSE4.1, SSE4.2, AVX, AVX2, FMA | — |\n| [tensorflow_i7_8700_GeForceGTX1070-1.13.1-cp36-cp36m-linux_x86_64.whl](https://drive.google.com/open?id=1skGMKtKdf6ekhBm14KLgLBCDRId94Bcq) | Intel Core i7-8700 | SSE4.1, SSE4.2, AVX, AVX2, FMA | NVIDIA GeForce GTX1070 (CUDA 10.0, cuDNN 7.5) |\n| [tensorflow_E3_1270-1.13.1-cp36-cp36m-linux_x86_64.whl](https://drive.google.com/open?id=17h4R0E-f3DFTFc_hDBkW73kIsvbyHV7h) | Intel Xeon E3-1270 v3 | SSE4.1, SSE4.2, AVX, AVX2 | — |\n| [tensorflow_X5650-1.13.2-cp36-cp36m-linux_x86_64.whl](https://drive.google.com/open?id=1ND8eHg2CUdi850fFFAy1hyzUX-YYWUOb) | Intel Xeon X5650 | SSE4.1, SSE4.2 | — |\n| [tensorflow_X5650_GeForceRTX2080-1.13.2-cp36-cp36m-linux_x86_64.whl](https://drive.google.com/open?id=1SXb3qZM82noZXj_IK3NKRGfH0k9G5MYH) | Intel Xeon X5650 | SSE4.1, SSE4.2 | NVIDIA GeForce RTX2080 (CUDA 10.0, cuDNN 7.5) |\n\n---\n\n## Варианты установки\n\n1. **Загрузить** нужную версию **вручную и установить с помощью pip**:\n\n```bash\npip3 install wheel_name.whl\n```\n\n2. Выбрать нужную версию, **скопировать ссылку** на неё, **загрузить скриптом** [`download_file_from_google_drive.sh`](https://github.com/Desklop/optimized_tensorflow_wheels/blob/master/download_file_from_google_drive.sh) и **установить с помощью pip** (загруженный файл после установки можно удалить):\n\n```bash\n./download_file_from_google_drive.sh \"link_to_wheel\"\npip3 install wheel_name.whl\nrm wheel_name.whl\n```\n\nНапример, версия `tensorflow_cpu_noALL_XLA-1.15.2-cp37-cp37m-linux_x86_64.whl`:\n\n```bash\n./download_file_from_google_drive.sh \"https://drive.google.com/open?id=1lC_8Zl2SYXWwHWq0IsS-N_MeoctW7FH4\"\npip3 install tensorflow_cpu_noALL_XLA-1.15.2-cp37-cp37m-linux_x86_64.whl\nrm tensorflow_cpu_noALL_XLA-1.15.2-cp37-cp37m-linux_x86_64.whl\n```\n\n3. Использовать **скрипт для автоматического определения, загрузки и установки подходящей версии** [`install_optimized_tensorflow_v1.15.2.sh`](https://github.com/Desklop/optimized_tensorflow_wheels/blob/master/install_optimized_tensorflow_v1.15.2.sh):\n\n```bash\n./install_optimized_tensorflow_v1.15.2.sh [-mkl|-gpu]\n```\n\nДанный скрипт определяет поддерживаемые текущим CPU инструкции, версию Python и CUDA, выбирает наиболее подходящую версию TensorFlow, загружает её из [папки в Google Drive](https://drive.google.com/open?id=1rCAwqxlsEmqFCXHKkZCu3X5AOoa6Iz6o) и устанавливает. Если подходящей версии TensorFlow не найдено, будет установлена версия из pip.\n\nСкрипт принимает несколько аргументов:\n\n- `-mkl`: загрузить и установить версию с поддержкой [Intel MKL-DNN](https://software.intel.com/en-us/mkl)\n- `-gpu`: загрузить и установить версию с поддержкой GPU\n\n---\n\n## Другие версии TensorFlow от сообщества\n\nВ репозитории [**tensorflow-community-wheels**](https://github.com/yaroslavvb/tensorflow-community-wheels) можно найти **намного больше различных версий** TensorFlow и TensorFlow-GPU, собранных другими участниками сообщества.\n\n---\n\nЕсли у вас возникнут вопросы или вы хотите сотрудничать, можете написать мне на почту: vladsklim@gmail.com или в [LinkedIn](https://www.linkedin.com/in/vladklim/).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdbklim%2Foptimized_tensorflow_wheels","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdbklim%2Foptimized_tensorflow_wheels","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdbklim%2Foptimized_tensorflow_wheels/lists"}